id	sid	tid	token	lemma	pos
fcis-3754	1	1	frontiers	frontier	NOUN
fcis-3754	1	2	in	in	ADP
fcis-3754	1	3	computing	computing	NOUN
fcis-3754	1	4	and	and	CCONJ
fcis-3754	1	5	intelligent	intelligent	ADJ
fcis-3754	1	6	systems	system	NOUN
fcis-3754	1	7	issn	issn	VERB
fcis-3754	1	8	:	:	PUNCT
fcis-3754	1	9	2832	2832	NUM
fcis-3754	1	10	-	-	SYM
fcis-3754	1	11	6024	6024	NUM
fcis-3754	1	12	|	|	NOUN
fcis-3754	1	13	vol	vol	NOUN
fcis-3754	1	14	.	.	PROPN
fcis-3754	2	1	2	2	NUM
fcis-3754	2	2	,	,	PUNCT
fcis-3754	2	3	no	no	INTJ
fcis-3754	2	4	.	.	NOUN
fcis-3754	2	5	2	2	NUM
fcis-3754	2	6	,	,	PUNCT
fcis-3754	2	7	2022	2022	NUM
fcis-3754	2	8	32	32	NUM
fcis-3754	2	9	pattern	pattern	NOUN
fcis-3754	2	10	classification	classification	NOUN
fcis-3754	2	11	of	of	ADP
fcis-3754	2	12	stock	stock	NOUN
fcis-3754	2	13	price	price	NOUN
fcis-3754	2	14	moving	move	VERB
fcis-3754	2	15	chenyu	chenyu	ADJ
fcis-3754	2	16	wang	wang	PROPN
fcis-3754	2	17	department	department	PROPN
fcis-3754	2	18	of	of	ADP
fcis-3754	2	19	tiktok	tiktok	ADJ
fcis-3754	2	20	e	e	PROPN
fcis-3754	2	21	-	-	NOUN
fcis-3754	2	22	commerce	commerce	NOUN
fcis-3754	2	23	,	,	PUNCT
fcis-3754	2	24	bytedance	bytedance	NOUN
fcis-3754	2	25	,	,	PUNCT
fcis-3754	2	26	shanghai	shanghai	PROPN
fcis-3754	2	27	,	,	PUNCT
fcis-3754	2	28	china	china	PROPN
fcis-3754	2	29	email	email	NOUN
fcis-3754	2	30	:	:	PUNCT
fcis-3754	2	31	121220091@smail.nju.edu.cn	121220091@smail.nju.edu.cn	NUM
fcis-3754	2	32	abstract	abstract	NOUN
fcis-3754	2	33	:	:	PUNCT
fcis-3754	2	34	the	the	DET
fcis-3754	2	35	stock	stock	NOUN
fcis-3754	2	36	is	be	AUX
fcis-3754	2	37	one	one	NUM
fcis-3754	2	38	of	of	ADP
fcis-3754	2	39	the	the	DET
fcis-3754	2	40	most	most	ADV
fcis-3754	2	41	important	important	ADJ
fcis-3754	2	42	instruments	instrument	NOUN
fcis-3754	2	43	of	of	ADP
fcis-3754	2	44	finance	finance	NOUN
fcis-3754	2	45	.	.	PUNCT
fcis-3754	3	1	however	however	ADV
fcis-3754	3	2	,	,	PUNCT
fcis-3754	3	3	the	the	DET
fcis-3754	3	4	tendency	tendency	NOUN
fcis-3754	3	5	of	of	ADP
fcis-3754	3	6	stock	stock	NOUN
fcis-3754	3	7	always	always	ADV
fcis-3754	3	8	has	have	VERB
fcis-3754	3	9	a	a	DET
fcis-3754	3	10	high	high	ADJ
fcis-3754	3	11	level	level	NOUN
fcis-3754	3	12	of	of	ADP
fcis-3754	3	13	irregularity	irregularity	NOUN
fcis-3754	3	14	.	.	PUNCT
fcis-3754	4	1	in	in	ADP
fcis-3754	4	2	stock	stock	NOUN
fcis-3754	4	3	market	market	NOUN
fcis-3754	4	4	,	,	PUNCT
fcis-3754	4	5	the	the	DET
fcis-3754	4	6	stock	stock	NOUN
fcis-3754	4	7	price	price	NOUN
fcis-3754	4	8	moving	moving	NOUN
fcis-3754	4	9	is	be	AUX
fcis-3754	4	10	considered	consider	VERB
fcis-3754	4	11	as	as	ADP
fcis-3754	4	12	a	a	DET
fcis-3754	4	13	time	time	NOUN
fcis-3754	4	14	series	series	NOUN
fcis-3754	4	15	problem	problem	NOUN
fcis-3754	4	16	.	.	PUNCT
fcis-3754	5	1	clustering	cluster	VERB
fcis-3754	5	2	method	method	NOUN
fcis-3754	5	3	on	on	ADP
fcis-3754	5	4	stock	stock	NOUN
fcis-3754	5	5	data	datum	NOUN
fcis-3754	5	6	is	be	AUX
fcis-3754	5	7	one	one	NUM
fcis-3754	5	8	of	of	ADP
fcis-3754	5	9	the	the	DET
fcis-3754	5	10	machine	machine	NOUN
fcis-3754	5	11	learning	learn	VERB
fcis-3754	5	12	methods	method	NOUN
fcis-3754	5	13	and	and	CCONJ
fcis-3754	5	14	it	it	PRON
fcis-3754	5	15	is	be	AUX
fcis-3754	5	16	one	one	NUM
fcis-3754	5	17	of	of	ADP
fcis-3754	5	18	the	the	DET
fcis-3754	5	19	most	most	ADV
fcis-3754	5	20	important	important	ADJ
fcis-3754	5	21	analysis	analysis	NOUN
fcis-3754	5	22	methods	method	NOUN
fcis-3754	5	23	of	of	ADP
fcis-3754	5	24	technical	technical	ADJ
fcis-3754	5	25	analysis	analysis	NOUN
fcis-3754	5	26	.	.	PUNCT
fcis-3754	6	1	the	the	DET
fcis-3754	6	2	aim	aim	NOUN
fcis-3754	6	3	of	of	ADP
fcis-3754	6	4	this	this	DET
fcis-3754	6	5	project	project	NOUN
fcis-3754	6	6	is	be	AUX
fcis-3754	6	7	to	to	PART
fcis-3754	6	8	find	find	VERB
fcis-3754	6	9	an	an	DET
fcis-3754	6	10	efficient	efficient	ADJ
fcis-3754	6	11	unsupervised	unsupervised	ADJ
fcis-3754	6	12	learning	learning	NOUN
fcis-3754	6	13	way	way	NOUN
fcis-3754	6	14	to	to	ADP
fcis-3754	6	15	analysis	analysis	VERB
fcis-3754	6	16	the	the	DET
fcis-3754	6	17	stock	stock	NOUN
fcis-3754	6	18	market	market	NOUN
fcis-3754	6	19	data	datum	NOUN
fcis-3754	6	20	to	to	PART
fcis-3754	6	21	make	make	VERB
fcis-3754	6	22	classification	classification	NOUN
fcis-3754	6	23	of	of	ADP
fcis-3754	6	24	the	the	DET
fcis-3754	6	25	patterns	pattern	NOUN
fcis-3754	6	26	on	on	ADP
fcis-3754	6	27	different	different	ADJ
fcis-3754	6	28	stock	stock	NOUN
fcis-3754	6	29	price	price	NOUN
fcis-3754	6	30	moving	move	VERB
fcis-3754	6	31	data	datum	NOUN
fcis-3754	6	32	and	and	CCONJ
fcis-3754	6	33	get	get	VERB
fcis-3754	6	34	useful	useful	ADJ
fcis-3754	6	35	information	information	NOUN
fcis-3754	6	36	for	for	ADP
fcis-3754	6	37	investment	investment	NOUN
fcis-3754	6	38	decisions	decision	NOUN
fcis-3754	6	39	by	by	ADP
fcis-3754	6	40	implementing	implement	VERB
fcis-3754	6	41	different	different	ADJ
fcis-3754	6	42	clustering	clustering	ADJ
fcis-3754	6	43	algorithms	algorithm	NOUN
fcis-3754	6	44	.	.	PUNCT
fcis-3754	7	1	for	for	ADP
fcis-3754	7	2	this	this	DET
fcis-3754	7	3	aim	aim	NOUN
fcis-3754	7	4	,	,	PUNCT
fcis-3754	7	5	the	the	DET
fcis-3754	7	6	research	research	NOUN
fcis-3754	7	7	objective	objective	NOUN
fcis-3754	7	8	of	of	ADP
fcis-3754	7	9	this	this	DET
fcis-3754	7	10	project	project	NOUN
fcis-3754	7	11	is	be	AUX
fcis-3754	7	12	to	to	PART
fcis-3754	7	13	compare	compare	VERB
fcis-3754	7	14	several	several	ADJ
fcis-3754	7	15	of	of	ADP
fcis-3754	7	16	clustering	clustering	ADJ
fcis-3754	7	17	methods	method	NOUN
fcis-3754	7	18	like	like	ADP
fcis-3754	7	19	kmeans	kmean	NOUN
fcis-3754	7	20	algorithm	algorithm	PROPN
fcis-3754	7	21	,	,	PUNCT
fcis-3754	7	22	em	em	PRON
fcis-3754	7	23	algorithm	algorithm	NOUN
fcis-3754	7	24	,	,	PUNCT
fcis-3754	7	25	canopy	canopy	NOUN
fcis-3754	7	26	algorithm	algorithm	NOUN
fcis-3754	7	27	,	,	PUNCT
fcis-3754	7	28	specify	specify	VERB
fcis-3754	7	29	the	the	DET
fcis-3754	7	30	best	good	ADJ
fcis-3754	7	31	number	number	NOUN
fcis-3754	7	32	of	of	ADP
fcis-3754	7	33	clusters	cluster	NOUN
fcis-3754	7	34	for	for	ADP
fcis-3754	7	35	each	each	DET
fcis-3754	7	36	clustering	cluster	VERB
fcis-3754	7	37	method	method	NOUN
fcis-3754	7	38	by	by	ADP
fcis-3754	7	39	several	several	ADJ
fcis-3754	7	40	evaluation	evaluation	NOUN
fcis-3754	7	41	indexes	index	NOUN
fcis-3754	7	42	,	,	PUNCT
fcis-3754	7	43	show	show	VERB
fcis-3754	7	44	the	the	DET
fcis-3754	7	45	result	result	NOUN
fcis-3754	7	46	of	of	ADP
fcis-3754	7	47	each	each	DET
fcis-3754	7	48	clustering	clustering	ADJ
fcis-3754	7	49	method	method	NOUN
fcis-3754	7	50	and	and	CCONJ
fcis-3754	7	51	make	make	VERB
fcis-3754	7	52	evaluation	evaluation	NOUN
fcis-3754	7	53	on	on	ADP
fcis-3754	7	54	the	the	DET
fcis-3754	7	55	results	result	NOUN
fcis-3754	7	56	of	of	ADP
fcis-3754	7	57	these	these	DET
fcis-3754	7	58	clustering	clustering	ADJ
fcis-3754	7	59	methods	method	NOUN
fcis-3754	7	60	on	on	ADP
fcis-3754	7	61	stock	stock	NOUN
fcis-3754	7	62	market	market	NOUN
fcis-3754	7	63	data	datum	NOUN
fcis-3754	7	64	of	of	ADP
fcis-3754	7	65	standard	standard	ADJ
fcis-3754	7	66	s&p	s&p	PROPN
fcis-3754	7	67	500	500	NUM
fcis-3754	7	68	stock	stock	NOUN
fcis-3754	7	69	marketing	marketing	NOUN
fcis-3754	7	70	data	datum	NOUN
fcis-3754	7	71	.	.	PUNCT
fcis-3754	8	1	in	in	ADP
fcis-3754	8	2	addition	addition	NOUN
fcis-3754	8	3	,	,	PUNCT
fcis-3754	8	4	weka	weka	PROPN
fcis-3754	8	5	3	3	NUM
fcis-3754	8	6	and	and	CCONJ
fcis-3754	8	7	matlab	matlab	PROPN
fcis-3754	8	8	are	be	AUX
fcis-3754	8	9	used	use	VERB
fcis-3754	8	10	to	to	PART
fcis-3754	8	11	implement	implement	VERB
fcis-3754	8	12	the	the	DET
fcis-3754	8	13	clustering	cluster	VERB
fcis-3754	8	14	methods	method	NOUN
fcis-3754	8	15	and	and	CCONJ
fcis-3754	8	16	evaluation	evaluation	NOUN
fcis-3754	8	17	program	program	NOUN
fcis-3754	8	18	.	.	PUNCT
fcis-3754	9	1	data	datum	NOUN
fcis-3754	9	2	visualization	visualization	NOUN
fcis-3754	9	3	shows	show	VERB
fcis-3754	9	4	clearly	clearly	ADV
fcis-3754	9	5	that	that	SCONJ
fcis-3754	9	6	those	those	DET
fcis-3754	9	7	public	public	ADJ
fcis-3754	9	8	companies	company	NOUN
fcis-3754	9	9	in	in	ADP
fcis-3754	9	10	the	the	DET
fcis-3754	9	11	same	same	ADJ
fcis-3754	9	12	cluster	cluster	NOUN
fcis-3754	9	13	have	have	VERB
fcis-3754	9	14	similar	similar	ADJ
fcis-3754	9	15	stock	stock	NOUN
fcis-3754	9	16	price	price	NOUN
fcis-3754	9	17	moving	moving	NOUN
fcis-3754	9	18	pattern	pattern	NOUN
fcis-3754	9	19	.	.	PUNCT
fcis-3754	10	1	the	the	DET
fcis-3754	10	2	experiment	experiment	NOUN
fcis-3754	10	3	shows	show	VERB
fcis-3754	10	4	the	the	DET
fcis-3754	10	5	result	result	NOUN
fcis-3754	10	6	that	that	SCONJ
fcis-3754	10	7	k	k	ADJ
fcis-3754	10	8	-	-	PUNCT
fcis-3754	10	9	means	mean	VERB
fcis-3754	10	10	algorithm	algorithm	NOUN
fcis-3754	10	11	and	and	CCONJ
fcis-3754	10	12	em	em	PRON
fcis-3754	10	13	algorithm	algorithm	NOUN
fcis-3754	10	14	perform	perform	VERB
fcis-3754	10	15	effectively	effectively	ADV
fcis-3754	10	16	in	in	ADP
fcis-3754	10	17	stock	stock	NOUN
fcis-3754	10	18	price	price	NOUN
fcis-3754	10	19	moving	moving	NOUN
fcis-3754	10	20	and	and	CCONJ
fcis-3754	10	21	canopy	canopy	NOUN
fcis-3754	10	22	algorithm	algorithm	NOUN
fcis-3754	10	23	can	can	AUX
fcis-3754	10	24	be	be	AUX
fcis-3754	10	25	used	use	VERB
fcis-3754	10	26	before	before	ADP
fcis-3754	10	27	k	k	X
fcis-3754	10	28	-	-	PUNCT
fcis-3754	10	29	means	mean	VERB
fcis-3754	10	30	algorithm	algorithm	NOUN
fcis-3754	10	31	to	to	PART
fcis-3754	10	32	improve	improve	VERB
fcis-3754	10	33	the	the	DET
fcis-3754	10	34	efficiency	efficiency	NOUN
fcis-3754	10	35	.	.	PUNCT
fcis-3754	11	1	keywords	keyword	NOUN
fcis-3754	11	2	:	:	PUNCT
fcis-3754	11	3	pattern	pattern	NOUN
fcis-3754	11	4	classification	classification	NOUN
fcis-3754	11	5	;	;	PUNCT
fcis-3754	11	6	clustering	clustering	NOUN
fcis-3754	11	7	;	;	PUNCT
fcis-3754	11	8	evaluation	evaluation	NOUN
fcis-3754	11	9	index	index	NOUN
fcis-3754	11	10	.	.	PUNCT
fcis-3754	12	1	1	1	X
fcis-3754	12	2	.	.	X
fcis-3754	12	3	introduction	introduction	NOUN
fcis-3754	12	4	due	due	ADP
fcis-3754	12	5	to	to	ADP
fcis-3754	12	6	the	the	DET
fcis-3754	12	7	high	high	ADJ
fcis-3754	12	8	negotiability	negotiability	NOUN
fcis-3754	12	9	of	of	ADP
fcis-3754	12	10	stock	stock	NOUN
fcis-3754	12	11	,	,	PUNCT
fcis-3754	12	12	the	the	DET
fcis-3754	12	13	stock	stock	NOUN
fcis-3754	12	14	is	be	AUX
fcis-3754	12	15	one	one	NUM
fcis-3754	12	16	of	of	ADP
fcis-3754	12	17	the	the	DET
fcis-3754	12	18	most	most	ADV
fcis-3754	12	19	important	important	ADJ
fcis-3754	12	20	instruments	instrument	NOUN
fcis-3754	12	21	of	of	ADP
fcis-3754	12	22	finance	finance	NOUN
fcis-3754	12	23	.	.	PUNCT
fcis-3754	13	1	when	when	SCONJ
fcis-3754	13	2	the	the	DET
fcis-3754	13	3	investors	investor	NOUN
fcis-3754	13	4	are	be	AUX
fcis-3754	13	5	making	make	VERB
fcis-3754	13	6	decision	decision	NOUN
fcis-3754	13	7	on	on	ADP
fcis-3754	13	8	stocks	stock	NOUN
fcis-3754	13	9	,	,	PUNCT
fcis-3754	13	10	it	it	PRON
fcis-3754	13	11	is	be	AUX
fcis-3754	13	12	fatal	fatal	ADJ
fcis-3754	13	13	for	for	SCONJ
fcis-3754	13	14	them	they	PRON
fcis-3754	13	15	to	to	PART
fcis-3754	13	16	have	have	VERB
fcis-3754	13	17	a	a	DET
fcis-3754	13	18	better	well	ADJ
fcis-3754	13	19	understanding	understanding	NOUN
fcis-3754	13	20	on	on	ADP
fcis-3754	13	21	the	the	DET
fcis-3754	13	22	stock	stock	NOUN
fcis-3754	13	23	price	price	NOUN
fcis-3754	13	24	moving	move	VERB
fcis-3754	13	25	analysis	analysis	NOUN
fcis-3754	13	26	.	.	PUNCT
fcis-3754	14	1	because	because	SCONJ
fcis-3754	14	2	of	of	ADP
fcis-3754	14	3	the	the	DET
fcis-3754	14	4	theory	theory	NOUN
fcis-3754	14	5	of	of	ADP
fcis-3754	14	6	demand	demand	NOUN
fcis-3754	14	7	and	and	CCONJ
fcis-3754	14	8	supply	supply	NOUN
fcis-3754	14	9	,	,	PUNCT
fcis-3754	14	10	the	the	DET
fcis-3754	14	11	stock	stock	NOUN
fcis-3754	14	12	price	price	NOUN
fcis-3754	14	13	data	datum	NOUN
fcis-3754	14	14	is	be	AUX
fcis-3754	14	15	easily	easily	ADV
fcis-3754	14	16	influenced	influence	VERB
fcis-3754	14	17	by	by	ADP
fcis-3754	14	18	the	the	DET
fcis-3754	14	19	demand	demand	NOUN
fcis-3754	14	20	of	of	ADP
fcis-3754	14	21	market	market	NOUN
fcis-3754	14	22	,	,	PUNCT
fcis-3754	14	23	and	and	CCONJ
fcis-3754	14	24	the	the	DET
fcis-3754	14	25	demand	demand	NOUN
fcis-3754	14	26	of	of	ADP
fcis-3754	14	27	market	market	NOUN
fcis-3754	14	28	is	be	AUX
fcis-3754	14	29	influenced	influence	VERB
fcis-3754	14	30	by	by	ADP
fcis-3754	14	31	complex	complex	ADJ
fcis-3754	14	32	factors	factor	NOUN
fcis-3754	14	33	too	too	ADV
fcis-3754	14	34	.	.	PUNCT
fcis-3754	15	1	so	so	ADV
fcis-3754	15	2	that	that	SCONJ
fcis-3754	15	3	the	the	DET
fcis-3754	15	4	tendency	tendency	NOUN
fcis-3754	15	5	of	of	ADP
fcis-3754	15	6	stock	stock	NOUN
fcis-3754	15	7	always	always	ADV
fcis-3754	15	8	has	have	VERB
fcis-3754	15	9	a	a	DET
fcis-3754	15	10	high	high	ADJ
fcis-3754	15	11	level	level	NOUN
fcis-3754	15	12	of	of	ADP
fcis-3754	15	13	irregularity	irregularity	NOUN
fcis-3754	15	14	.	.	PUNCT
fcis-3754	16	1	stock	stock	NOUN
fcis-3754	16	2	is	be	AUX
fcis-3754	16	3	easily	easily	ADV
fcis-3754	16	4	influenced	influence	VERB
fcis-3754	16	5	by	by	ADP
fcis-3754	16	6	theory	theory	NOUN
fcis-3754	16	7	of	of	ADP
fcis-3754	16	8	demand	demand	NOUN
fcis-3754	16	9	and	and	CCONJ
fcis-3754	16	10	supply	supply	NOUN
fcis-3754	16	11	and	and	CCONJ
fcis-3754	16	12	stock	stock	NOUN
fcis-3754	16	13	price	price	NOUN
fcis-3754	16	14	is	be	AUX
fcis-3754	16	15	sensitive	sensitive	ADJ
fcis-3754	16	16	to	to	ADP
fcis-3754	16	17	market	market	NOUN
fcis-3754	16	18	demand	demand	NOUN
fcis-3754	16	19	.	.	PUNCT
fcis-3754	17	1	thus	thus	ADV
fcis-3754	17	2	,	,	PUNCT
fcis-3754	17	3	it	it	PRON
fcis-3754	17	4	is	be	AUX
fcis-3754	17	5	a	a	DET
fcis-3754	17	6	valuable	valuable	ADJ
fcis-3754	17	7	subject	subject	NOUN
fcis-3754	17	8	to	to	PART
fcis-3754	17	9	do	do	VERB
fcis-3754	17	10	research	research	NOUN
fcis-3754	17	11	on	on	ADP
fcis-3754	17	12	stock	stock	NOUN
fcis-3754	17	13	price	price	NOUN
fcis-3754	17	14	moving	moving	NOUN
fcis-3754	17	15	.	.	PUNCT
fcis-3754	18	1	it	it	PRON
fcis-3754	18	2	is	be	AUX
fcis-3754	18	3	worth	worth	ADJ
fcis-3754	18	4	considering	consider	VERB
fcis-3754	18	5	that	that	SCONJ
fcis-3754	18	6	the	the	DET
fcis-3754	18	7	stock	stock	NOUN
fcis-3754	18	8	market	market	NOUN
fcis-3754	18	9	only	only	ADV
fcis-3754	18	10	shows	show	VERB
fcis-3754	18	11	the	the	DET
fcis-3754	18	12	public	public	ADJ
fcis-3754	18	13	data	datum	NOUN
fcis-3754	18	14	of	of	ADP
fcis-3754	18	15	stocks	stock	NOUN
fcis-3754	18	16	and	and	CCONJ
fcis-3754	18	17	the	the	DET
fcis-3754	18	18	investors	investor	NOUN
fcis-3754	18	19	can	can	AUX
fcis-3754	18	20	not	not	PART
fcis-3754	18	21	directly	directly	ADV
fcis-3754	18	22	observe	observe	VERB
fcis-3754	18	23	and	and	CCONJ
fcis-3754	18	24	judge	judge	VERB
fcis-3754	18	25	such	such	DET
fcis-3754	18	26	a	a	DET
fcis-3754	18	27	great	great	ADJ
fcis-3754	18	28	scale	scale	NOUN
fcis-3754	18	29	of	of	ADP
fcis-3754	18	30	high	high	ADJ
fcis-3754	18	31	dimension	dimension	NOUN
fcis-3754	18	32	stock	stock	NOUN
fcis-3754	18	33	data	datum	NOUN
fcis-3754	18	34	.	.	PUNCT
fcis-3754	19	1	on	on	ADP
fcis-3754	19	2	the	the	DET
fcis-3754	19	3	other	other	ADJ
fcis-3754	19	4	hand	hand	NOUN
fcis-3754	19	5	,	,	PUNCT
fcis-3754	19	6	the	the	DET
fcis-3754	19	7	different	different	ADJ
fcis-3754	19	8	stocks	stock	NOUN
fcis-3754	19	9	which	which	PRON
fcis-3754	19	10	have	have	VERB
fcis-3754	19	11	similar	similar	ADJ
fcis-3754	19	12	tendency	tendency	NOUN
fcis-3754	19	13	often	often	ADV
fcis-3754	19	14	have	have	VERB
fcis-3754	19	15	similar	similar	ADJ
fcis-3754	19	16	pattern	pattern	NOUN
fcis-3754	19	17	.	.	PUNCT
fcis-3754	20	1	due	due	ADP
fcis-3754	20	2	to	to	ADP
fcis-3754	20	3	this	this	DET
fcis-3754	20	4	situation	situation	NOUN
fcis-3754	20	5	,	,	PUNCT
fcis-3754	20	6	it	it	PRON
fcis-3754	20	7	is	be	AUX
fcis-3754	20	8	worth	worth	ADJ
fcis-3754	20	9	using	use	VERB
fcis-3754	20	10	different	different	ADJ
fcis-3754	20	11	analysis	analysis	NOUN
fcis-3754	20	12	methods	method	NOUN
fcis-3754	20	13	such	such	ADJ
fcis-3754	20	14	as	as	ADP
fcis-3754	20	15	clustering	clustering	ADJ
fcis-3754	20	16	methods	method	NOUN
fcis-3754	20	17	to	to	PART
fcis-3754	20	18	find	find	VERB
fcis-3754	20	19	the	the	DET
fcis-3754	20	20	potential	potential	ADJ
fcis-3754	20	21	information	information	NOUN
fcis-3754	20	22	from	from	ADP
fcis-3754	20	23	the	the	DET
fcis-3754	20	24	public	public	ADJ
fcis-3754	20	25	stock	stock	NOUN
fcis-3754	20	26	market	market	NOUN
fcis-3754	20	27	data	datum	NOUN
fcis-3754	20	28	so	so	SCONJ
fcis-3754	20	29	that	that	SCONJ
fcis-3754	20	30	it	it	PRON
fcis-3754	20	31	can	can	AUX
fcis-3754	20	32	help	help	VERB
fcis-3754	20	33	making	make	VERB
fcis-3754	20	34	investment	investment	NOUN
fcis-3754	20	35	plan	plan	NOUN
fcis-3754	20	36	.	.	PUNCT
fcis-3754	21	1	effective	effective	ADJ
fcis-3754	21	2	investment	investment	NOUN
fcis-3754	21	3	portfolio	portfolio	NOUN
fcis-3754	21	4	is	be	AUX
fcis-3754	21	5	usually	usually	ADV
fcis-3754	21	6	composed	compose	VERB
fcis-3754	21	7	of	of	ADP
fcis-3754	21	8	the	the	DET
fcis-3754	21	9	stocks	stock	NOUN
fcis-3754	21	10	which	which	PRON
fcis-3754	21	11	have	have	VERB
fcis-3754	21	12	high	high	ADJ
fcis-3754	21	13	quality	quality	NOUN
fcis-3754	21	14	.	.	PUNCT
fcis-3754	22	1	and	and	CCONJ
fcis-3754	22	2	the	the	DET
fcis-3754	22	3	first	first	ADJ
fcis-3754	22	4	and	and	CCONJ
fcis-3754	22	5	important	important	ADJ
fcis-3754	22	6	step	step	NOUN
fcis-3754	22	7	is	be	AUX
fcis-3754	22	8	to	to	PART
fcis-3754	22	9	dig	dig	VERB
fcis-3754	22	10	out	out	ADP
fcis-3754	22	11	those	those	DET
fcis-3754	22	12	stocks	stock	NOUN
fcis-3754	22	13	which	which	PRON
fcis-3754	22	14	have	have	VERB
fcis-3754	22	15	high	high	ADJ
fcis-3754	22	16	quality	quality	NOUN
fcis-3754	22	17	,	,	PUNCT
fcis-3754	22	18	by	by	ADP
fcis-3754	22	19	an	an	DET
fcis-3754	22	20	efficient	efficient	ADJ
fcis-3754	22	21	method	method	NOUN
fcis-3754	22	22	.	.	PUNCT
fcis-3754	23	1	the	the	DET
fcis-3754	23	2	aim	aim	NOUN
fcis-3754	23	3	of	of	ADP
fcis-3754	23	4	this	this	DET
fcis-3754	23	5	project	project	NOUN
fcis-3754	23	6	is	be	AUX
fcis-3754	23	7	to	to	PART
fcis-3754	23	8	investigate	investigate	VERB
fcis-3754	23	9	and	and	CCONJ
fcis-3754	23	10	find	find	VERB
fcis-3754	23	11	an	an	DET
fcis-3754	23	12	efficient	efficient	ADJ
fcis-3754	23	13	unsupervised	unsupervised	ADJ
fcis-3754	23	14	learning	learning	NOUN
fcis-3754	23	15	way	way	NOUN
fcis-3754	23	16	to	to	ADP
fcis-3754	23	17	analysis	analysis	VERB
fcis-3754	23	18	the	the	DET
fcis-3754	23	19	stock	stock	NOUN
fcis-3754	23	20	market	market	NOUN
fcis-3754	23	21	data	datum	NOUN
fcis-3754	23	22	for	for	ADP
fcis-3754	23	23	making	make	VERB
fcis-3754	23	24	classification	classification	NOUN
fcis-3754	23	25	of	of	ADP
fcis-3754	23	26	different	different	ADJ
fcis-3754	23	27	stocks	stock	NOUN
fcis-3754	23	28	and	and	CCONJ
fcis-3754	23	29	get	get	VERB
fcis-3754	23	30	useful	useful	ADJ
fcis-3754	23	31	information	information	NOUN
fcis-3754	23	32	for	for	ADP
fcis-3754	23	33	investment	investment	NOUN
fcis-3754	23	34	decisions	decision	NOUN
fcis-3754	23	35	by	by	ADP
fcis-3754	23	36	implementing	implement	VERB
fcis-3754	23	37	different	different	ADJ
fcis-3754	23	38	clustering	clustering	ADJ
fcis-3754	23	39	algorithms	algorithm	NOUN
fcis-3754	23	40	.	.	PUNCT
fcis-3754	24	1	in	in	ADP
fcis-3754	24	2	this	this	DET
fcis-3754	24	3	project	project	NOUN
fcis-3754	24	4	,	,	PUNCT
fcis-3754	24	5	all	all	DET
fcis-3754	24	6	the	the	DET
fcis-3754	24	7	stock	stock	NOUN
fcis-3754	24	8	price	price	NOUN
fcis-3754	24	9	data	datum	NOUN
fcis-3754	24	10	are	be	AUX
fcis-3754	24	11	collected	collect	VERB
fcis-3754	24	12	from	from	ADP
fcis-3754	24	13	the	the	DET
fcis-3754	24	14	standard	standard	NOUN
fcis-3754	24	15	s	s	PROPN
fcis-3754	24	16	&	&	CCONJ
fcis-3754	24	17	p	p	PROPN
fcis-3754	24	18	500	500	NUM
fcis-3754	24	19	public	public	ADJ
fcis-3754	24	20	companies	company	NOUN
fcis-3754	24	21	and	and	CCONJ
fcis-3754	24	22	several	several	ADJ
fcis-3754	24	23	appropriate	appropriate	ADJ
fcis-3754	24	24	clustering	clustering	ADJ
fcis-3754	24	25	methods	method	NOUN
fcis-3754	24	26	are	be	AUX
fcis-3754	24	27	implemented	implement	VERB
fcis-3754	24	28	to	to	PART
fcis-3754	24	29	process	process	VERB
fcis-3754	24	30	on	on	ADP
fcis-3754	24	31	the	the	DET
fcis-3754	24	32	data	datum	NOUN
fcis-3754	24	33	set	set	VERB
fcis-3754	24	34	.	.	PUNCT
fcis-3754	25	1	4	4	NUM
fcis-3754	25	2	evaluation	evaluation	NOUN
fcis-3754	25	3	indexes	index	NOUN
fcis-3754	25	4	are	be	AUX
fcis-3754	25	5	used	use	VERB
fcis-3754	25	6	to	to	PART
fcis-3754	25	7	evaluate	evaluate	VERB
fcis-3754	25	8	the	the	DET
fcis-3754	25	9	performance	performance	NOUN
fcis-3754	25	10	of	of	ADP
fcis-3754	25	11	different	different	ADJ
fcis-3754	25	12	clustering	clustering	ADJ
fcis-3754	25	13	methods	method	NOUN
fcis-3754	25	14	.	.	PUNCT
fcis-3754	26	1	2	2	X
fcis-3754	26	2	.	.	X
fcis-3754	26	3	methodology	methodology	NOUN
fcis-3754	26	4	and	and	CCONJ
fcis-3754	26	5	analysis	analysis	NOUN
fcis-3754	26	6	2.1	2.1	NUM
fcis-3754	26	7	.	.	PUNCT
fcis-3754	27	1	research	research	NOUN
fcis-3754	27	2	overview	overview	VERB
fcis-3754	27	3	the	the	DET
fcis-3754	27	4	pattern	pattern	NOUN
fcis-3754	27	5	classification	classification	NOUN
fcis-3754	27	6	of	of	ADP
fcis-3754	27	7	stock	stock	NOUN
fcis-3754	27	8	price	price	NOUN
fcis-3754	27	9	moving	moving	NOUN
fcis-3754	27	10	is	be	AUX
fcis-3754	27	11	generally	generally	ADV
fcis-3754	27	12	a	a	DET
fcis-3754	27	13	time	time	NOUN
fcis-3754	27	14	series	series	NOUN
fcis-3754	27	15	clustering	clustering	NOUN
fcis-3754	27	16	problem	problem	NOUN
fcis-3754	27	17	.	.	PUNCT
fcis-3754	28	1	in	in	ADP
fcis-3754	28	2	2010	2010	NUM
fcis-3754	28	3	,	,	PUNCT
fcis-3754	28	4	hwang	hwang	PROPN
fcis-3754	28	5	h	h	PROPN
fcis-3754	28	6	and	and	CCONJ
fcis-3754	28	7	oh	oh	INTJ
fcis-3754	28	8	j	j	PROPN
fcis-3754	28	9	have	have	AUX
fcis-3754	28	10	described	describe	VERB
fcis-3754	28	11	the	the	DET
fcis-3754	28	12	stock	stock	NOUN
fcis-3754	28	13	price	price	NOUN
fcis-3754	28	14	moving	moving	NOUN
fcis-3754	28	15	problem	problem	NOUN
fcis-3754	28	16	as	as	ADP
fcis-3754	28	17	a	a	DET
fcis-3754	28	18	time	time	NOUN
fcis-3754	28	19	series	series	NOUN
fcis-3754	28	20	problem	problem	NOUN
fcis-3754	28	21	and	and	CCONJ
fcis-3754	28	22	used	use	VERB
fcis-3754	28	23	their	their	PRON
fcis-3754	28	24	fuzzy	fuzzy	ADJ
fcis-3754	28	25	model	model	NOUN
fcis-3754	28	26	to	to	PART
fcis-3754	28	27	make	make	VERB
fcis-3754	28	28	analysis	analysis	NOUN
fcis-3754	28	29	on	on	ADP
fcis-3754	28	30	the	the	DET
fcis-3754	28	31	stock	stock	NOUN
fcis-3754	28	32	market	market	NOUN
fcis-3754	29	1	[	[	X
fcis-3754	29	2	1	1	NUM
fcis-3754	29	3	]	]	PUNCT
fcis-3754	29	4	.	.	PUNCT
fcis-3754	30	1	normally	normally	ADV
fcis-3754	30	2	,	,	PUNCT
fcis-3754	30	3	the	the	DET
fcis-3754	30	4	stock	stock	NOUN
fcis-3754	30	5	of	of	ADP
fcis-3754	30	6	public	public	ADJ
fcis-3754	30	7	company	company	NOUN
fcis-3754	30	8	can	can	AUX
fcis-3754	30	9	be	be	AUX
fcis-3754	30	10	classified	classify	VERB
fcis-3754	30	11	into	into	ADP
fcis-3754	30	12	different	different	ADJ
fcis-3754	30	13	kinds	kind	NOUN
fcis-3754	30	14	such	such	ADJ
fcis-3754	30	15	as	as	ADP
fcis-3754	30	16	blue	blue	ADJ
fcis-3754	30	17	chip	chip	NOUN
fcis-3754	30	18	or	or	CCONJ
fcis-3754	30	19	trash	trash	NOUN
fcis-3754	30	20	stock	stock	NOUN
fcis-3754	30	21	.	.	PUNCT
fcis-3754	31	1	and	and	CCONJ
fcis-3754	31	2	in	in	ADP
fcis-3754	31	3	2016	2016	NUM
fcis-3754	31	4	,	,	PUNCT
fcis-3754	31	5	chen	chen	PROPN
fcis-3754	31	6	t	t	PROPN
fcis-3754	31	7	and	and	CCONJ
fcis-3754	31	8	chen	chen	PROPN
fcis-3754	31	9	f	f	PROPN
fcis-3754	31	10	have	have	AUX
fcis-3754	31	11	described	describe	VERB
fcis-3754	31	12	their	their	PRON
fcis-3754	31	13	theory	theory	NOUN
fcis-3754	31	14	on	on	ADP
fcis-3754	31	15	pattern	pattern	NOUN
fcis-3754	31	16	recognition	recognition	NOUN
fcis-3754	31	17	on	on	ADP
fcis-3754	31	18	stock	stock	NOUN
fcis-3754	31	19	market	market	NOUN
fcis-3754	31	20	for	for	SCONJ
fcis-3754	31	21	the	the	DET
fcis-3754	31	22	investors	investor	NOUN
fcis-3754	31	23	to	to	PART
fcis-3754	31	24	decide	decide	VERB
fcis-3754	31	25	their	their	PRON
fcis-3754	31	26	best	good	ADJ
fcis-3754	31	27	investment	investment	NOUN
fcis-3754	31	28	portfolio	portfolio	NOUN
fcis-3754	31	29	and	and	CCONJ
fcis-3754	31	30	reduce	reduce	VERB
fcis-3754	31	31	the	the	DET
fcis-3754	31	32	risk	risk	NOUN
fcis-3754	31	33	[	[	X
fcis-3754	31	34	2	2	NUM
fcis-3754	31	35	]	]	PUNCT
fcis-3754	31	36	.	.	PUNCT
fcis-3754	32	1	as	as	ADP
fcis-3754	32	2	a	a	DET
fcis-3754	32	3	time	time	NOUN
fcis-3754	32	4	,	,	PUNCT
fcis-3754	32	5	series	series	NOUN
fcis-3754	32	6	problem	problem	NOUN
fcis-3754	32	7	,	,	PUNCT
fcis-3754	32	8	some	some	PRON
fcis-3754	32	9	of	of	ADP
fcis-3754	32	10	different	different	ADJ
fcis-3754	32	11	stocks	stock	NOUN
fcis-3754	32	12	often	often	ADV
fcis-3754	32	13	have	have	VERB
fcis-3754	32	14	the	the	DET
fcis-3754	32	15	same	same	ADJ
fcis-3754	32	16	pattern	pattern	NOUN
fcis-3754	32	17	that	that	PRON
fcis-3754	32	18	they	they	PRON
fcis-3754	32	19	have	have	VERB
fcis-3754	32	20	similar	similar	ADJ
fcis-3754	32	21	tendency	tendency	NOUN
fcis-3754	32	22	of	of	ADP
fcis-3754	32	23	stock	stock	NOUN
fcis-3754	32	24	price	price	NOUN
fcis-3754	32	25	moving	moving	NOUN
fcis-3754	32	26	.	.	PUNCT
fcis-3754	33	1	in	in	ADP
fcis-3754	33	2	2017	2017	NUM
fcis-3754	33	3	,	,	PUNCT
fcis-3754	33	4	nair	nair	PROPN
fcis-3754	33	5	b	b	PROPN
fcis-3754	33	6	b	b	PROPN
fcis-3754	33	7	,	,	PUNCT
fcis-3754	33	8	kumar	kumar	PROPN
fcis-3754	33	9	p	p	PROPN
fcis-3754	33	10	k	k	PROPN
fcis-3754	33	11	s	s	PROPN
fcis-3754	33	12	and	and	CCONJ
fcis-3754	33	13	sakthivel	sakthivel	NOUN
fcis-3754	33	14	n	n	PRON
fcis-3754	33	15	r	r	NOUN
fcis-3754	33	16	have	have	AUX
fcis-3754	33	17	briefly	briefly	ADV
fcis-3754	33	18	presented	present	VERB
fcis-3754	33	19	that	that	SCONJ
fcis-3754	33	20	the	the	DET
fcis-3754	33	21	investors	investor	NOUN
fcis-3754	33	22	are	be	AUX
fcis-3754	33	23	more	more	ADV
fcis-3754	33	24	willing	willing	ADJ
fcis-3754	33	25	to	to	PART
fcis-3754	33	26	buy	buy	VERB
fcis-3754	33	27	those	those	DET
fcis-3754	33	28	stocks	stock	NOUN
fcis-3754	33	29	with	with	ADP
fcis-3754	33	30	good	good	ADJ
fcis-3754	33	31	performance	performance	NOUN
fcis-3754	33	32	that	that	SCONJ
fcis-3754	33	33	if	if	SCONJ
fcis-3754	33	34	they	they	PRON
fcis-3754	33	35	have	have	AUX
fcis-3754	33	36	known	know	VERB
fcis-3754	33	37	one	one	NUM
fcis-3754	33	38	of	of	ADP
fcis-3754	33	39	the	the	DET
fcis-3754	33	40	stocks	stock	NOUN
fcis-3754	33	41	which	which	PRON
fcis-3754	33	42	have	have	AUX
fcis-3754	33	43	been	be	AUX
fcis-3754	33	44	proved	prove	VERB
fcis-3754	33	45	to	to	PART
fcis-3754	33	46	have	have	VERB
fcis-3754	33	47	a	a	DET
fcis-3754	33	48	good	good	ADJ
fcis-3754	33	49	performance	performance	NOUN
fcis-3754	33	50	,	,	PUNCT
fcis-3754	33	51	there	there	PRON
fcis-3754	33	52	is	be	VERB
fcis-3754	33	53	a	a	DET
fcis-3754	33	54	high	high	ADJ
fcis-3754	33	55	probability	probability	NOUN
fcis-3754	33	56	that	that	SCONJ
fcis-3754	33	57	another	another	DET
fcis-3754	33	58	stock	stock	NOUN
fcis-3754	33	59	has	have	AUX
fcis-3754	33	60	the	the	DET
fcis-3754	33	61	similar	similar	ADJ
fcis-3754	33	62	tendency	tendency	NOUN
fcis-3754	33	63	will	will	AUX
fcis-3754	33	64	perform	perform	VERB
fcis-3754	33	65	well	well	ADV
fcis-3754	33	66	too	too	ADV
fcis-3754	34	1	[	[	X
fcis-3754	34	2	3	3	NUM
fcis-3754	34	3	]	]	PUNCT
fcis-3754	34	4	.	.	PUNCT
fcis-3754	35	1	choosing	choose	VERB
fcis-3754	35	2	the	the	DET
fcis-3754	35	3	stock	stock	NOUN
fcis-3754	35	4	which	which	PRON
fcis-3754	35	5	has	have	VERB
fcis-3754	35	6	good	good	ADJ
fcis-3754	35	7	performance	performance	NOUN
fcis-3754	35	8	and	and	CCONJ
fcis-3754	35	9	build	build	VERB
fcis-3754	35	10	appropriate	appropriate	ADJ
fcis-3754	35	11	investment	investment	NOUN
fcis-3754	35	12	portfolio	portfolio	NOUN
fcis-3754	35	13	is	be	AUX
fcis-3754	35	14	the	the	DET
fcis-3754	35	15	important	important	ADJ
fcis-3754	35	16	guarantee	guarantee	NOUN
fcis-3754	35	17	of	of	ADP
fcis-3754	35	18	achieving	achieve	VERB
fcis-3754	35	19	good	good	ADJ
fcis-3754	35	20	profit	profit	NOUN
fcis-3754	35	21	in	in	ADP
fcis-3754	35	22	the	the	DET
fcis-3754	35	23	future	future	NOUN
fcis-3754	35	24	.	.	PUNCT
fcis-3754	36	1	however	however	ADV
fcis-3754	36	2	,	,	PUNCT
fcis-3754	36	3	in	in	ADP
fcis-3754	36	4	the	the	DET
fcis-3754	36	5	stock	stock	NOUN
fcis-3754	36	6	market	market	NOUN
fcis-3754	36	7	,	,	PUNCT
fcis-3754	36	8	there	there	PRON
fcis-3754	36	9	are	be	VERB
fcis-3754	36	10	quite	quite	DET
fcis-3754	36	11	a	a	DET
fcis-3754	36	12	big	big	ADJ
fcis-3754	36	13	number	number	NOUN
fcis-3754	36	14	of	of	ADP
fcis-3754	36	15	stocks	stock	NOUN
fcis-3754	36	16	and	and	CCONJ
fcis-3754	36	17	each	each	DET
fcis-3754	36	18	stock	stock	NOUN
fcis-3754	36	19	in	in	ADP
fcis-3754	36	20	the	the	DET
fcis-3754	36	21	market	market	NOUN
fcis-3754	36	22	changes	change	VERB
fcis-3754	36	23	dynamically	dynamically	ADV
fcis-3754	36	24	on	on	ADP
fcis-3754	36	25	both	both	DET
fcis-3754	36	26	trading	trading	NOUN
fcis-3754	36	27	volume	volume	NOUN
fcis-3754	36	28	and	and	CCONJ
fcis-3754	36	29	stock	stock	NOUN
fcis-3754	36	30	price	price	NOUN
fcis-3754	36	31	.	.	PUNCT
fcis-3754	37	1	thus	thus	ADV
fcis-3754	37	2	,	,	PUNCT
fcis-3754	37	3	it	it	PRON
fcis-3754	37	4	is	be	AUX
fcis-3754	37	5	a	a	DET
fcis-3754	37	6	valuable	valuable	ADJ
fcis-3754	37	7	research	research	NOUN
fcis-3754	37	8	problem	problem	NOUN
fcis-3754	37	9	to	to	PART
fcis-3754	37	10	choose	choose	VERB
fcis-3754	37	11	those	those	DET
fcis-3754	37	12	stocks	stock	NOUN
fcis-3754	37	13	with	with	ADP
fcis-3754	37	14	good	good	ADJ
fcis-3754	37	15	performance	performance	NOUN
fcis-3754	37	16	and	and	CCONJ
fcis-3754	37	17	build	build	VERB
fcis-3754	37	18	a	a	DET
fcis-3754	37	19	reasonable	reasonable	ADJ
fcis-3754	37	20	investment	investment	NOUN
fcis-3754	37	21	portfolio	portfolio	NOUN
fcis-3754	37	22	.	.	PUNCT
fcis-3754	38	1	ghadhab	ghadhab	PROPN
fcis-3754	39	1	i	i	PRON
fcis-3754	39	2	have	have	AUX
fcis-3754	39	3	come	come	VERB
fcis-3754	39	4	up	up	ADP
fcis-3754	39	5	a	a	DET
fcis-3754	39	6	conclusion	conclusion	NOUN
fcis-3754	39	7	in	in	ADP
fcis-3754	39	8	his	his	PRON
fcis-3754	39	9	research	research	NOUN
fcis-3754	39	10	in	in	ADP
fcis-3754	39	11	2016	2016	NUM
fcis-3754	39	12	that	that	SCONJ
fcis-3754	39	13	the	the	DET
fcis-3754	39	14	trading	trading	NOUN
fcis-3754	39	15	volume	volume	NOUN
fcis-3754	39	16	,	,	PUNCT
fcis-3754	39	17	or	or	CCONJ
fcis-3754	39	18	say	say	VERB
fcis-3754	39	19	volume	volume	NOUN
fcis-3754	39	20	of	of	ADP
fcis-3754	39	21	transaction	transaction	NOUN
fcis-3754	39	22	can	can	AUX
fcis-3754	39	23	only	only	ADV
fcis-3754	39	24	review	review	VERB
fcis-3754	39	25	the	the	DET
fcis-3754	39	26	notability	notability	NOUN
fcis-3754	39	27	of	of	ADP
fcis-3754	39	28	each	each	DET
fcis-3754	39	29	stock	stock	NOUN
fcis-3754	39	30	but	but	CCONJ
fcis-3754	39	31	not	not	PART
fcis-3754	39	32	the	the	DET
fcis-3754	39	33	tendency	tendency	NOUN
fcis-3754	39	34	,	,	PUNCT
fcis-3754	39	35	and	and	CCONJ
fcis-3754	39	36	for	for	ADP
fcis-3754	39	37	this	this	DET
fcis-3754	39	38	reason	reason	NOUN
fcis-3754	39	39	,	,	PUNCT
fcis-3754	39	40	the	the	DET
fcis-3754	39	41	project	project	NOUN
fcis-3754	39	42	uses	use	VERB
fcis-3754	39	43	stock	stock	NOUN
fcis-3754	39	44	price	price	NOUN
fcis-3754	39	45	moving	move	VERB
fcis-3754	39	46	data	datum	NOUN
fcis-3754	39	47	to	to	PART
fcis-3754	39	48	cluster	cluster	VERB
fcis-3754	39	49	different	different	ADJ
fcis-3754	39	50	stocks	stock	NOUN
fcis-3754	39	51	[	[	X
fcis-3754	39	52	4	4	NUM
fcis-3754	39	53	]	]	PUNCT
fcis-3754	39	54	.	.	PUNCT
fcis-3754	40	1	from	from	ADP
fcis-3754	40	2	the	the	DET
fcis-3754	40	3	great	great	ADJ
fcis-3754	40	4	number	number	NOUN
fcis-3754	40	5	of	of	ADP
fcis-3754	40	6	researches	research	NOUN
fcis-3754	40	7	in	in	ADP
fcis-3754	40	8	the	the	DET
fcis-3754	40	9	past	past	NOUN
fcis-3754	40	10	,	,	PUNCT
fcis-3754	40	11	it	it	PRON
fcis-3754	40	12	is	be	AUX
fcis-3754	40	13	a	a	DET
fcis-3754	40	14	feasible	feasible	ADJ
fcis-3754	40	15	scheme	scheme	NOUN
fcis-3754	40	16	to	to	PART
fcis-3754	40	17	classify	classify	VERB
fcis-3754	40	18	the	the	DET
fcis-3754	40	19	stock	stock	NOUN
fcis-3754	40	20	and	and	CCONJ
fcis-3754	40	21	choose	choose	VERB
fcis-3754	40	22	those	those	DET
fcis-3754	40	23	stocks	stock	NOUN
fcis-3754	40	24	with	with	ADP
fcis-3754	40	25	good	good	ADJ
fcis-3754	40	26	financial	financial	ADJ
fcis-3754	40	27	health	health	NOUN
fcis-3754	40	28	by	by	ADP
fcis-3754	40	29	making	make	VERB
fcis-3754	40	30	use	use	NOUN
fcis-3754	40	31	of	of	ADP
fcis-3754	40	32	the	the	DET
fcis-3754	40	33	public	public	ADJ
fcis-3754	40	34	33	33	NUM
fcis-3754	40	35	financial	financial	ADJ
fcis-3754	40	36	information	information	NOUN
fcis-3754	40	37	of	of	ADP
fcis-3754	40	38	listed	list	VERB
fcis-3754	40	39	companies	company	NOUN
fcis-3754	40	40	.	.	PUNCT
fcis-3754	41	1	xu	xu	PROPN
fcis-3754	41	2	m	m	PROPN
fcis-3754	41	3	,	,	PUNCT
fcis-3754	41	4	lan	lan	PROPN
fcis-3754	41	5	y	y	PROPN
fcis-3754	41	6	and	and	CCONJ
fcis-3754	41	7	jiang	jiang	PROPN
fcis-3754	42	1	d	d	PROPN
fcis-3754	42	2	have	have	AUX
fcis-3754	42	3	discussed	discuss	VERB
fcis-3754	42	4	the	the	DET
fcis-3754	42	5	advantage	advantage	NOUN
fcis-3754	42	6	of	of	ADP
fcis-3754	42	7	public	public	ADJ
fcis-3754	42	8	financial	financial	ADJ
fcis-3754	42	9	information	information	NOUN
fcis-3754	42	10	of	of	ADP
fcis-3754	42	11	listed	list	VERB
fcis-3754	42	12	companies	company	NOUN
fcis-3754	42	13	in	in	ADP
fcis-3754	42	14	their	their	PRON
fcis-3754	42	15	academic	academic	ADJ
fcis-3754	42	16	paper	paper	NOUN
fcis-3754	42	17	in	in	ADP
fcis-3754	42	18	2015	2015	NUM
fcis-3754	42	19	[	[	X
fcis-3754	42	20	5	5	NUM
fcis-3754	42	21	]	]	PUNCT
fcis-3754	42	22	.	.	PUNCT
fcis-3754	43	1	and	and	CCONJ
fcis-3754	43	2	then	then	ADV
fcis-3754	43	3	,	,	PUNCT
fcis-3754	43	4	they	they	PRON
fcis-3754	43	5	have	have	AUX
fcis-3754	43	6	also	also	ADV
fcis-3754	43	7	put	put	VERB
fcis-3754	43	8	forward	forward	ADV
fcis-3754	43	9	that	that	SCONJ
fcis-3754	43	10	there	there	PRON
fcis-3754	43	11	are	be	VERB
fcis-3754	43	12	several	several	ADJ
fcis-3754	43	13	problems	problem	NOUN
fcis-3754	43	14	for	for	ADP
fcis-3754	43	15	this	this	DET
fcis-3754	43	16	kind	kind	NOUN
fcis-3754	43	17	of	of	ADP
fcis-3754	43	18	scheme	scheme	NOUN
fcis-3754	43	19	which	which	PRON
fcis-3754	43	20	both	both	PRON
fcis-3754	43	21	considers	consider	VERB
fcis-3754	43	22	public	public	ADJ
fcis-3754	43	23	financial	financial	ADJ
fcis-3754	43	24	information	information	NOUN
fcis-3754	43	25	and	and	CCONJ
fcis-3754	43	26	stock	stock	NOUN
fcis-3754	43	27	price	price	NOUN
fcis-3754	43	28	moving	moving	NOUN
fcis-3754	43	29	.	.	PUNCT
fcis-3754	44	1	on	on	ADP
fcis-3754	44	2	the	the	DET
fcis-3754	44	3	one	one	NUM
fcis-3754	44	4	hand	hand	NOUN
fcis-3754	44	5	,	,	PUNCT
fcis-3754	44	6	some	some	DET
fcis-3754	44	7	researcher	researcher	NOUN
fcis-3754	44	8	such	such	ADJ
fcis-3754	44	9	as	as	ADP
fcis-3754	44	10	wang	wang	PROPN
fcis-3754	44	11	j	j	PROPN
fcis-3754	44	12	y	y	PROPN
fcis-3754	44	13	and	and	CCONJ
fcis-3754	44	14	zhu	zhu	PROPN
fcis-3754	44	15	z	z	NOUN
fcis-3754	44	16	x	x	VERB
fcis-3754	44	17	have	have	AUX
fcis-3754	44	18	discussed	discuss	VERB
fcis-3754	44	19	how	how	SCONJ
fcis-3754	44	20	to	to	PART
fcis-3754	44	21	use	use	VERB
fcis-3754	44	22	principal	principal	ADJ
fcis-3754	44	23	component	component	NOUN
fcis-3754	44	24	analysis	analysis	NOUN
fcis-3754	44	25	to	to	PART
fcis-3754	44	26	measure	measure	VERB
fcis-3754	44	27	public	public	ADJ
fcis-3754	44	28	financial	financial	ADJ
fcis-3754	44	29	information	information	NOUN
fcis-3754	44	30	due	due	ADP
fcis-3754	44	31	to	to	ADP
fcis-3754	44	32	the	the	DET
fcis-3754	44	33	great	great	ADJ
fcis-3754	44	34	number	number	NOUN
fcis-3754	44	35	of	of	ADP
fcis-3754	44	36	indexes	index	NOUN
fcis-3754	44	37	in	in	ADP
fcis-3754	44	38	2017	2017	NUM
fcis-3754	45	1	[	[	SYM
fcis-3754	45	2	6	6	NUM
fcis-3754	45	3	]	]	PUNCT
fcis-3754	45	4	.	.	PUNCT
fcis-3754	46	1	and	and	CCONJ
fcis-3754	46	2	in	in	ADP
fcis-3754	46	3	another	another	DET
fcis-3754	46	4	research	research	NOUN
fcis-3754	46	5	dissertation	dissertation	NOUN
fcis-3754	46	6	in	in	ADP
fcis-3754	46	7	2016	2016	NUM
fcis-3754	46	8	,	,	PUNCT
fcis-3754	46	9	gao	gao	PROPN
fcis-3754	46	10	t	t	PROPN
fcis-3754	46	11	,	,	PUNCT
fcis-3754	46	12	li	li	PROPN
fcis-3754	46	13	x	x	X
fcis-3754	46	14	and	and	CCONJ
fcis-3754	46	15	chai	chai	NOUN
fcis-3754	46	16	y	y	PROPN
fcis-3754	46	17	have	have	AUX
fcis-3754	46	18	implemented	implement	VERB
fcis-3754	46	19	a	a	DET
fcis-3754	46	20	two	two	NUM
fcis-3754	46	21	-	-	PUNCT
fcis-3754	46	22	dimensional	dimensional	ADJ
fcis-3754	46	23	deep	deep	ADJ
fcis-3754	46	24	learning	learning	NOUN
fcis-3754	46	25	way	way	NOUN
fcis-3754	46	26	which	which	PRON
fcis-3754	46	27	includes	include	VERB
fcis-3754	46	28	principal	principal	ADJ
fcis-3754	46	29	component	component	NOUN
fcis-3754	46	30	analysis	analysis	NOUN
fcis-3754	46	31	on	on	ADP
fcis-3754	46	32	their	their	PRON
fcis-3754	46	33	stock	stock	NOUN
fcis-3754	46	34	price	price	NOUN
fcis-3754	46	35	moving	moving	NOUN
fcis-3754	46	36	prediction	prediction	NOUN
fcis-3754	46	37	system	system	NOUN
fcis-3754	46	38	[	[	X
fcis-3754	46	39	7	7	NUM
fcis-3754	46	40	]	]	PUNCT
fcis-3754	46	41	.	.	PUNCT
fcis-3754	47	1	however	however	ADV
fcis-3754	47	2	,	,	PUNCT
fcis-3754	47	3	as	as	SCONJ
fcis-3754	47	4	the	the	DET
fcis-3754	47	5	researchers	researcher	NOUN
fcis-3754	47	6	put	put	VERB
fcis-3754	47	7	forward	forward	ADV
fcis-3754	47	8	the	the	DET
fcis-3754	47	9	opinion	opinion	NOUN
fcis-3754	47	10	that	that	SCONJ
fcis-3754	47	11	the	the	DET
fcis-3754	47	12	public	public	ADJ
fcis-3754	47	13	financial	financial	ADJ
fcis-3754	47	14	information	information	NOUN
fcis-3754	47	15	is	be	AUX
fcis-3754	47	16	a	a	DET
fcis-3754	47	17	kind	kind	NOUN
fcis-3754	47	18	of	of	ADP
fcis-3754	47	19	nonlinear	nonlinear	ADJ
fcis-3754	47	20	data	datum	NOUN
fcis-3754	47	21	and	and	CCONJ
fcis-3754	47	22	sometimes	sometimes	ADV
fcis-3754	47	23	because	because	SCONJ
fcis-3754	47	24	of	of	ADP
fcis-3754	47	25	different	different	ADJ
fcis-3754	47	26	purpose	purpose	NOUN
fcis-3754	47	27	of	of	ADP
fcis-3754	47	28	each	each	DET
fcis-3754	47	29	company	company	NOUN
fcis-3754	47	30	,	,	PUNCT
fcis-3754	47	31	the	the	DET
fcis-3754	47	32	financial	financial	ADJ
fcis-3754	47	33	information	information	NOUN
fcis-3754	47	34	is	be	AUX
fcis-3754	47	35	incomplete	incomplete	ADJ
fcis-3754	47	36	and	and	CCONJ
fcis-3754	47	37	sometimes	sometimes	ADV
fcis-3754	47	38	even	even	ADV
fcis-3754	47	39	not	not	PART
fcis-3754	47	40	completely	completely	ADV
fcis-3754	47	41	right	right	ADJ
fcis-3754	47	42	.	.	PUNCT
fcis-3754	48	1	therefore	therefore	ADV
fcis-3754	48	2	,	,	PUNCT
fcis-3754	48	3	most	most	ADJ
fcis-3754	48	4	of	of	ADP
fcis-3754	48	5	the	the	DET
fcis-3754	48	6	researches	research	NOUN
fcis-3754	48	7	consider	consider	VERB
fcis-3754	48	8	stock	stock	NOUN
fcis-3754	48	9	price	price	NOUN
fcis-3754	48	10	moving	move	VERB
fcis-3754	48	11	as	as	ADP
fcis-3754	48	12	the	the	DET
fcis-3754	48	13	main	main	ADJ
fcis-3754	48	14	research	research	NOUN
fcis-3754	48	15	data	datum	NOUN
fcis-3754	48	16	of	of	ADP
fcis-3754	48	17	clustering	clustering	NOUN
fcis-3754	48	18	.	.	PUNCT
fcis-3754	49	1	there	there	PRON
fcis-3754	49	2	are	be	VERB
fcis-3754	49	3	two	two	NUM
fcis-3754	49	4	main	main	ADJ
fcis-3754	49	5	analysis	analysis	NOUN
fcis-3754	49	6	orientations	orientation	NOUN
fcis-3754	49	7	for	for	ADP
fcis-3754	49	8	the	the	DET
fcis-3754	49	9	stock	stock	NOUN
fcis-3754	49	10	price	price	NOUN
fcis-3754	49	11	moving	move	VERB
fcis-3754	49	12	analysis	analysis	NOUN
fcis-3754	49	13	,	,	PUNCT
fcis-3754	49	14	and	and	CCONJ
fcis-3754	49	15	they	they	PRON
fcis-3754	49	16	are	be	AUX
fcis-3754	49	17	financial	financial	ADJ
fcis-3754	49	18	data	datum	NOUN
fcis-3754	49	19	analysis	analysis	NOUN
fcis-3754	49	20	and	and	CCONJ
fcis-3754	49	21	technical	technical	ADJ
fcis-3754	49	22	analysis	analysis	NOUN
fcis-3754	49	23	of	of	ADP
fcis-3754	49	24	which	which	PRON
fcis-3754	49	25	the	the	DET
fcis-3754	49	26	advantages	advantage	NOUN
fcis-3754	49	27	and	and	CCONJ
fcis-3754	49	28	disadvantages	disadvantage	NOUN
fcis-3754	49	29	have	have	AUX
fcis-3754	49	30	been	be	AUX
fcis-3754	49	31	discussed	discuss	VERB
fcis-3754	49	32	by	by	ADP
fcis-3754	49	33	cabañas	cabañas	NOUN
fcis-3754	49	34	r	r	PROPN
fcis-3754	49	35	,	,	PUNCT
fcis-3754	49	36	martínez	martínez	NOUN
fcis-3754	49	37	a	a	DET
fcis-3754	49	38	m	m	PROPN
fcis-3754	49	39	,	,	PUNCT
fcis-3754	49	40	masegosa	masegosa	PROPN
fcis-3754	49	41	a	a	DET
fcis-3754	49	42	r	r	NOUN
fcis-3754	49	43	in	in	ADP
fcis-3754	49	44	the	the	DET
fcis-3754	49	45	year	year	NOUN
fcis-3754	49	46	2016	2016	NUM
fcis-3754	50	1	[	[	X
fcis-3754	50	2	8	8	NUM
fcis-3754	50	3	]	]	PUNCT
fcis-3754	50	4	.	.	PUNCT
fcis-3754	51	1	financial	financial	ADJ
fcis-3754	51	2	data	datum	NOUN
fcis-3754	51	3	analysis	analysis	NOUN
fcis-3754	51	4	is	be	AUX
fcis-3754	51	5	aimed	aim	VERB
fcis-3754	51	6	to	to	PART
fcis-3754	51	7	make	make	VERB
fcis-3754	51	8	evaluation	evaluation	NOUN
fcis-3754	51	9	on	on	ADP
fcis-3754	51	10	the	the	DET
fcis-3754	51	11	potential	potential	ADJ
fcis-3754	51	12	value	value	NOUN
fcis-3754	51	13	of	of	ADP
fcis-3754	51	14	stocks	stock	NOUN
fcis-3754	51	15	and	and	CCONJ
fcis-3754	51	16	in	in	ADP
fcis-3754	51	17	the	the	DET
fcis-3754	51	18	year	year	NOUN
fcis-3754	51	19	2016	2016	NUM
fcis-3754	51	20	,	,	PUNCT
fcis-3754	51	21	papavassiliou	papavassiliou	VERB
fcis-3754	51	22	v	v	ADP
fcis-3754	51	23	g	g	NOUN
fcis-3754	51	24	put	put	VERB
fcis-3754	51	25	forward	forward	ADV
fcis-3754	51	26	his	his	PRON
fcis-3754	51	27	improved	improved	ADJ
fcis-3754	51	28	algorithm	algorithm	NOUN
fcis-3754	51	29	on	on	ADP
fcis-3754	51	30	the	the	DET
fcis-3754	51	31	individual	individual	ADJ
fcis-3754	51	32	stock	stock	NOUN
fcis-3754	51	33	price	price	NOUN
fcis-3754	51	34	moving	move	VERB
fcis-3754	51	35	data	datum	NOUN
fcis-3754	51	36	by	by	ADP
fcis-3754	51	37	using	use	VERB
fcis-3754	51	38	financial	financial	ADJ
fcis-3754	51	39	data	datum	NOUN
fcis-3754	51	40	analysis	analysis	NOUN
fcis-3754	51	41	and	and	CCONJ
fcis-3754	51	42	he	he	PRON
fcis-3754	51	43	has	have	AUX
fcis-3754	51	44	achieved	achieve	VERB
fcis-3754	51	45	a	a	DET
fcis-3754	51	46	good	good	ADJ
fcis-3754	51	47	result	result	NOUN
fcis-3754	52	1	[	[	X
fcis-3754	52	2	9	9	NUM
fcis-3754	52	3	]	]	PUNCT
fcis-3754	52	4	.	.	PUNCT
fcis-3754	53	1	on	on	ADP
fcis-3754	53	2	the	the	DET
fcis-3754	53	3	other	other	ADJ
fcis-3754	53	4	hand	hand	NOUN
fcis-3754	53	5	,	,	PUNCT
fcis-3754	53	6	technical	technical	ADJ
fcis-3754	53	7	analysis	analysis	NOUN
fcis-3754	53	8	is	be	AUX
fcis-3754	53	9	aimed	aim	VERB
fcis-3754	53	10	to	to	PART
fcis-3754	53	11	make	make	VERB
fcis-3754	53	12	analysis	analysis	NOUN
fcis-3754	53	13	on	on	ADP
fcis-3754	53	14	the	the	DET
fcis-3754	53	15	statistical	statistical	ADJ
fcis-3754	53	16	data	datum	NOUN
fcis-3754	53	17	of	of	ADP
fcis-3754	53	18	marketing	marketing	NOUN
fcis-3754	53	19	activity	activity	NOUN
fcis-3754	53	20	and	and	CCONJ
fcis-3754	53	21	it	it	PRON
fcis-3754	53	22	does	do	AUX
fcis-3754	53	23	not	not	PART
fcis-3754	53	24	make	make	VERB
fcis-3754	53	25	assessment	assessment	NOUN
fcis-3754	53	26	on	on	ADP
fcis-3754	53	27	the	the	DET
fcis-3754	53	28	potential	potential	ADJ
fcis-3754	53	29	value	value	NOUN
fcis-3754	53	30	of	of	ADP
fcis-3754	53	31	stocks	stock	NOUN
fcis-3754	53	32	.	.	PUNCT
fcis-3754	54	1	in	in	ADP
fcis-3754	54	2	the	the	DET
fcis-3754	54	3	year	year	NOUN
fcis-3754	54	4	2017	2017	NUM
fcis-3754	54	5	,	,	PUNCT
fcis-3754	54	6	nazário	nazário	ADP
fcis-3754	54	7	r	r	NOUN
fcis-3754	54	8	t	t	NOUN
fcis-3754	54	9	f	f	X
fcis-3754	54	10	,	,	PUNCT
fcis-3754	54	11	e	e	PROPN
fcis-3754	54	12	silva	silva	PROPN
fcis-3754	54	13	j	j	PROPN
fcis-3754	54	14	l	l	PROPN
fcis-3754	54	15	and	and	CCONJ
fcis-3754	54	16	sobreiro	sobreiro	PRON
fcis-3754	54	17	v	v	INTJ
fcis-3754	54	18	a	a	PRON
fcis-3754	54	19	have	have	AUX
fcis-3754	54	20	briefly	briefly	ADV
fcis-3754	54	21	discussed	discuss	VERB
fcis-3754	54	22	the	the	DET
fcis-3754	54	23	advantage	advantage	NOUN
fcis-3754	54	24	and	and	CCONJ
fcis-3754	54	25	weakness	weakness	NOUN
fcis-3754	54	26	of	of	ADP
fcis-3754	54	27	technical	technical	ADJ
fcis-3754	54	28	analysis	analysis	NOUN
fcis-3754	54	29	which	which	PRON
fcis-3754	54	30	is	be	AUX
fcis-3754	54	31	implemented	implement	VERB
fcis-3754	54	32	to	to	PART
fcis-3754	54	33	make	make	VERB
fcis-3754	54	34	analysis	analysis	NOUN
fcis-3754	54	35	on	on	ADP
fcis-3754	54	36	the	the	DET
fcis-3754	54	37	stock	stock	NOUN
fcis-3754	54	38	price	price	NOUN
fcis-3754	54	39	moving	move	VERB
fcis-3754	54	40	data	datum	NOUN
fcis-3754	54	41	[	[	X
fcis-3754	54	42	10	10	NUM
fcis-3754	54	43	]	]	PUNCT
fcis-3754	54	44	.	.	PUNCT
fcis-3754	55	1	in	in	ADP
fcis-3754	55	2	technical	technical	ADJ
fcis-3754	55	3	analysis	analysis	NOUN
fcis-3754	55	4	,	,	PUNCT
fcis-3754	55	5	the	the	DET
fcis-3754	55	6	researchers	researcher	NOUN
fcis-3754	55	7	usually	usually	ADV
fcis-3754	55	8	try	try	VERB
fcis-3754	55	9	to	to	PART
fcis-3754	55	10	find	find	VERB
fcis-3754	55	11	patterns	pattern	NOUN
fcis-3754	55	12	of	of	ADP
fcis-3754	55	13	tendency	tendency	NOUN
fcis-3754	55	14	by	by	ADP
fcis-3754	55	15	using	use	VERB
fcis-3754	55	16	figures	figure	NOUN
fcis-3754	55	17	and	and	CCONJ
fcis-3754	55	18	tables	table	NOUN
fcis-3754	55	19	.	.	PUNCT
fcis-3754	56	1	the	the	DET
fcis-3754	56	2	experiment	experiment	NOUN
fcis-3754	56	3	in	in	ADP
fcis-3754	56	4	this	this	DET
fcis-3754	56	5	project	project	NOUN
fcis-3754	56	6	is	be	AUX
fcis-3754	56	7	one	one	NUM
fcis-3754	56	8	of	of	ADP
fcis-3754	56	9	the	the	DET
fcis-3754	56	10	technical	technical	ADJ
fcis-3754	56	11	analysis	analysis	NOUN
fcis-3754	56	12	methods	method	NOUN
fcis-3754	56	13	.	.	PUNCT
fcis-3754	57	1	figure	figure	NOUN
fcis-3754	57	2	1	1	NUM
fcis-3754	57	3	.	.	PUNCT
fcis-3754	57	4	brief	brief	ADJ
fcis-3754	57	5	flow	flow	NOUN
fcis-3754	57	6	diagram	diagram	NOUN
fcis-3754	57	7	of	of	ADP
fcis-3754	57	8	literature	literature	NOUN
fcis-3754	57	9	review	review	VERB
fcis-3754	57	10	the	the	DET
fcis-3754	57	11	figure	figure	NOUN
fcis-3754	57	12	1	1	NUM
fcis-3754	57	13	below	below	ADV
fcis-3754	57	14	is	be	AUX
fcis-3754	57	15	used	use	VERB
fcis-3754	57	16	to	to	PART
fcis-3754	57	17	show	show	VERB
fcis-3754	57	18	different	different	ADJ
fcis-3754	57	19	kinds	kind	NOUN
fcis-3754	57	20	of	of	ADP
fcis-3754	57	21	analytical	analytical	ADJ
fcis-3754	57	22	methods	method	NOUN
fcis-3754	57	23	which	which	PRON
fcis-3754	57	24	are	be	AUX
fcis-3754	57	25	used	use	VERB
fcis-3754	57	26	to	to	PART
fcis-3754	57	27	make	make	VERB
fcis-3754	57	28	analysis	analysis	NOUN
fcis-3754	57	29	on	on	ADP
fcis-3754	57	30	the	the	DET
fcis-3754	57	31	stock	stock	NOUN
fcis-3754	57	32	price	price	NOUN
fcis-3754	57	33	moving	move	VERB
fcis-3754	57	34	data	datum	NOUN
fcis-3754	57	35	.	.	PUNCT
fcis-3754	58	1	and	and	CCONJ
fcis-3754	58	2	the	the	DET
fcis-3754	58	3	next	next	ADJ
fcis-3754	58	4	part	part	NOUN
fcis-3754	58	5	of	of	ADP
fcis-3754	58	6	literature	literature	NOUN
fcis-3754	58	7	review	review	NOUN
fcis-3754	58	8	would	would	AUX
fcis-3754	58	9	focus	focus	VERB
fcis-3754	58	10	on	on	ADP
fcis-3754	58	11	the	the	DET
fcis-3754	58	12	clustering	clustering	ADJ
fcis-3754	58	13	analysis	analysis	NOUN
fcis-3754	58	14	which	which	PRON
fcis-3754	58	15	belongs	belong	VERB
fcis-3754	58	16	to	to	ADP
fcis-3754	58	17	technical	technical	ADJ
fcis-3754	58	18	analysis	analysis	NOUN
fcis-3754	58	19	and	and	CCONJ
fcis-3754	58	20	have	have	VERB
fcis-3754	58	21	4	4	NUM
fcis-3754	58	22	main	main	ADJ
fcis-3754	58	23	clustering	clustering	ADJ
fcis-3754	58	24	algorithms	algorithm	NOUN
fcis-3754	58	25	:	:	PUNCT
fcis-3754	58	26	k	k	X
fcis-3754	58	27	–	–	PUNCT
fcis-3754	58	28	means	mean	VERB
fcis-3754	58	29	algorithm	algorithm	NOUN
fcis-3754	58	30	,	,	PUNCT
fcis-3754	58	31	em	em	PRON
fcis-3754	58	32	algorithm	algorithm	NOUN
fcis-3754	58	33	,	,	PUNCT
fcis-3754	58	34	hierarchical	hierarchical	ADJ
fcis-3754	58	35	algorithm	algorithm	NOUN
fcis-3754	58	36	,	,	PUNCT
fcis-3754	58	37	and	and	CCONJ
fcis-3754	58	38	canopy	canopy	NOUN
fcis-3754	58	39	algorithm	algorithm	NOUN
fcis-3754	58	40	.	.	PUNCT
fcis-3754	59	1	and	and	CCONJ
fcis-3754	59	2	then	then	ADV
fcis-3754	59	3	,	,	PUNCT
fcis-3754	59	4	several	several	ADJ
fcis-3754	59	5	different	different	ADJ
fcis-3754	59	6	evaluation	evaluation	NOUN
fcis-3754	59	7	indexes	index	NOUN
fcis-3754	59	8	are	be	AUX
fcis-3754	59	9	discussed	discuss	VERB
fcis-3754	59	10	in	in	ADP
fcis-3754	59	11	order	order	NOUN
fcis-3754	59	12	to	to	PART
fcis-3754	59	13	specify	specify	VERB
fcis-3754	59	14	the	the	DET
fcis-3754	59	15	best	good	ADJ
fcis-3754	59	16	number	number	NOUN
fcis-3754	59	17	of	of	ADP
fcis-3754	59	18	clusters	cluster	NOUN
fcis-3754	59	19	and	and	CCONJ
fcis-3754	59	20	make	make	VERB
fcis-3754	59	21	evaluation	evaluation	NOUN
fcis-3754	59	22	on	on	ADP
fcis-3754	59	23	the	the	DET
fcis-3754	59	24	performance	performance	NOUN
fcis-3754	59	25	of	of	ADP
fcis-3754	59	26	different	different	ADJ
fcis-3754	59	27	algorithms	algorithm	NOUN
fcis-3754	59	28	.	.	PUNCT
fcis-3754	60	1	after	after	ADV
fcis-3754	60	2	all	all	ADV
fcis-3754	60	3	,	,	PUNCT
fcis-3754	60	4	the	the	DET
fcis-3754	60	5	results	result	NOUN
fcis-3754	60	6	of	of	ADP
fcis-3754	60	7	different	different	ADJ
fcis-3754	60	8	clustering	clustering	ADJ
fcis-3754	60	9	methods	method	NOUN
fcis-3754	60	10	are	be	AUX
fcis-3754	60	11	shown	show	VERB
fcis-3754	60	12	visually	visually	ADV
fcis-3754	60	13	.	.	PUNCT
fcis-3754	61	1	2.2	2.2	NUM
fcis-3754	61	2	.	.	PUNCT
fcis-3754	62	1	technical	technical	ADJ
fcis-3754	62	2	analysis	analysis	NOUN
fcis-3754	62	3	in	in	ADP
fcis-3754	62	4	technical	technical	ADJ
fcis-3754	62	5	analysis	analysis	NOUN
fcis-3754	62	6	,	,	PUNCT
fcis-3754	62	7	there	there	PRON
fcis-3754	62	8	are	be	VERB
fcis-3754	62	9	several	several	ADJ
fcis-3754	62	10	different	different	ADJ
fcis-3754	62	11	ways	way	NOUN
fcis-3754	62	12	to	to	PART
fcis-3754	62	13	do	do	VERB
fcis-3754	62	14	research	research	NOUN
fcis-3754	62	15	on	on	ADP
fcis-3754	62	16	stock	stock	NOUN
fcis-3754	62	17	price	price	NOUN
fcis-3754	62	18	moving	move	VERB
fcis-3754	62	19	such	such	ADJ
fcis-3754	62	20	as	as	ADP
fcis-3754	62	21	prediction	prediction	NOUN
fcis-3754	62	22	,	,	PUNCT
fcis-3754	62	23	risk	risk	VERB
fcis-3754	62	24	analysis	analysis	NOUN
fcis-3754	62	25	and	and	CCONJ
fcis-3754	62	26	clustering	cluster	VERB
fcis-3754	62	27	analysis	analysis	NOUN
fcis-3754	62	28	and	and	CCONJ
fcis-3754	62	29	they	they	PRON
fcis-3754	62	30	have	have	AUX
fcis-3754	62	31	been	be	AUX
fcis-3754	62	32	discussed	discuss	VERB
fcis-3754	62	33	by	by	ADP
fcis-3754	62	34	hilkevics	hilkevic	NOUN
fcis-3754	62	35	s	s	PART
fcis-3754	62	36	and	and	CCONJ
fcis-3754	62	37	zablockis	zablockis	PRON
fcis-3754	62	38	a	a	PRON
fcis-3754	62	39	in	in	ADP
fcis-3754	62	40	2016	2016	NUM
fcis-3754	63	1	[	[	X
fcis-3754	63	2	11	11	NUM
fcis-3754	63	3	]	]	PUNCT
fcis-3754	63	4	.	.	PUNCT
fcis-3754	64	1	they	they	PRON
fcis-3754	64	2	have	have	AUX
fcis-3754	64	3	shown	show	VERB
fcis-3754	64	4	that	that	DET
fcis-3754	64	5	prediction	prediction	NOUN
fcis-3754	64	6	and	and	CCONJ
fcis-3754	64	7	risk	risk	NOUN
fcis-3754	64	8	analysis	analysis	NOUN
fcis-3754	64	9	are	be	AUX
fcis-3754	64	10	two	two	NUM
fcis-3754	64	11	useful	useful	ADJ
fcis-3754	64	12	method	method	NOUN
fcis-3754	64	13	on	on	ADP
fcis-3754	64	14	portfolio	portfolio	NOUN
fcis-3754	64	15	optimization	optimization	NOUN
fcis-3754	64	16	.	.	PUNCT
fcis-3754	65	1	the	the	DET
fcis-3754	65	2	prediction	prediction	NOUN
fcis-3754	65	3	and	and	CCONJ
fcis-3754	65	4	risk	risk	NOUN
fcis-3754	65	5	analysis	analysis	NOUN
fcis-3754	65	6	methods	method	NOUN
fcis-3754	65	7	are	be	AUX
fcis-3754	65	8	briefly	briefly	ADV
fcis-3754	65	9	reviewed	review	VERB
fcis-3754	65	10	below	below	ADV
fcis-3754	65	11	,	,	PUNCT
fcis-3754	65	12	and	and	CCONJ
fcis-3754	65	13	the	the	DET
fcis-3754	65	14	project	project	NOUN
fcis-3754	65	15	mainly	mainly	ADV
fcis-3754	65	16	implements	implement	VERB
fcis-3754	65	17	clustering	cluster	VERB
fcis-3754	65	18	analysis	analysis	NOUN
fcis-3754	65	19	method	method	NOUN
fcis-3754	65	20	.	.	PUNCT
fcis-3754	66	1	some	some	PRON
fcis-3754	66	2	of	of	ADP
fcis-3754	66	3	the	the	DET
fcis-3754	66	4	researchers	researcher	NOUN
fcis-3754	66	5	have	have	AUX
fcis-3754	66	6	discussed	discuss	VERB
fcis-3754	66	7	that	that	SCONJ
fcis-3754	66	8	implementing	implement	VERB
fcis-3754	66	9	data	datum	NOUN
fcis-3754	66	10	mining	mining	NOUN
fcis-3754	66	11	method	method	NOUN
fcis-3754	66	12	on	on	ADP
fcis-3754	66	13	stock	stock	NOUN
fcis-3754	66	14	price	price	NOUN
fcis-3754	66	15	prediction	prediction	NOUN
fcis-3754	66	16	.	.	PUNCT
fcis-3754	67	1	this	this	DET
fcis-3754	67	2	prediction	prediction	NOUN
fcis-3754	67	3	method	method	NOUN
fcis-3754	67	4	relies	rely	VERB
fcis-3754	67	5	on	on	ADP
fcis-3754	67	6	the	the	DET
fcis-3754	67	7	development	development	NOUN
fcis-3754	67	8	of	of	ADP
fcis-3754	67	9	data	datum	NOUN
fcis-3754	67	10	mining	mining	NOUN
fcis-3754	67	11	technology	technology	NOUN
fcis-3754	67	12	and	and	CCONJ
fcis-3754	67	13	analysis	analysis	NOUN
fcis-3754	67	14	mechanism	mechanism	NOUN
fcis-3754	67	15	.	.	PUNCT
fcis-3754	68	1	in	in	ADP
fcis-3754	68	2	2014	2014	NUM
fcis-3754	68	3	,	,	PUNCT
fcis-3754	68	4	wei	wei	PROPN
fcis-3754	68	5	l	l	PROPN
fcis-3754	68	6	y	y	PROPN
fcis-3754	68	7	,	,	PUNCT
fcis-3754	68	8	cheng	cheng	PROPN
fcis-3754	68	9	c	c	PROPN
fcis-3754	68	10	h	h	PROPN
fcis-3754	68	11	and	and	CCONJ
fcis-3754	68	12	wu	wu	PROPN
fcis-3754	68	13	h	h	PROPN
fcis-3754	68	14	h	h	PROPN
fcis-3754	68	15	have	have	AUX
fcis-3754	68	16	briefly	briefly	ADV
fcis-3754	68	17	established	establish	VERB
fcis-3754	68	18	a	a	DET
fcis-3754	68	19	prediction	prediction	NOUN
fcis-3754	68	20	model	model	NOUN
fcis-3754	68	21	and	and	CCONJ
fcis-3754	68	22	use	use	VERB
fcis-3754	68	23	the	the	DET
fcis-3754	68	24	mati	mati	PROPN
fcis-3754	68	25	predicting	predict	VERB
fcis-3754	68	26	method	method	NOUN
fcis-3754	68	27	to	to	PART
fcis-3754	68	28	make	make	VERB
fcis-3754	68	29	prediction	prediction	NOUN
fcis-3754	68	30	on	on	ADP
fcis-3754	68	31	the	the	DET
fcis-3754	68	32	future	future	ADJ
fcis-3754	68	33	stock	stock	NOUN
fcis-3754	68	34	price	price	NOUN
fcis-3754	68	35	moving	moving	NOUN
fcis-3754	68	36	of	of	ADP
fcis-3754	68	37	taiex	taiex	NOUN
fcis-3754	68	38	[	[	X
fcis-3754	68	39	12	12	NUM
fcis-3754	68	40	]	]	PUNCT
fcis-3754	68	41	.	.	PUNCT
fcis-3754	69	1	they	they	PRON
fcis-3754	69	2	have	have	AUX
fcis-3754	69	3	proved	prove	VERB
fcis-3754	69	4	it	it	PRON
fcis-3754	69	5	to	to	PART
fcis-3754	69	6	be	be	AUX
fcis-3754	69	7	an	an	DET
fcis-3754	69	8	efficient	efficient	ADJ
fcis-3754	69	9	prediction	prediction	NOUN
fcis-3754	69	10	model	model	NOUN
fcis-3754	69	11	.	.	PUNCT
fcis-3754	70	1	on	on	ADP
fcis-3754	70	2	the	the	DET
fcis-3754	70	3	other	other	ADJ
fcis-3754	70	4	hand	hand	NOUN
fcis-3754	70	5	,	,	PUNCT
fcis-3754	70	6	they	they	PRON
fcis-3754	70	7	put	put	VERB
fcis-3754	70	8	forward	forward	ADV
fcis-3754	70	9	the	the	DET
fcis-3754	70	10	opinion	opinion	NOUN
fcis-3754	70	11	that	that	SCONJ
fcis-3754	70	12	for	for	ADP
fcis-3754	70	13	the	the	DET
fcis-3754	70	14	investors	investor	NOUN
fcis-3754	70	15	,	,	PUNCT
fcis-3754	70	16	predicting	predict	VERB
fcis-3754	70	17	the	the	DET
fcis-3754	70	18	stock	stock	NOUN
fcis-3754	70	19	price	price	NOUN
fcis-3754	70	20	moving	move	VERB
fcis-3754	70	21	accurately	accurately	ADV
fcis-3754	70	22	is	be	AUX
fcis-3754	70	23	one	one	NUM
fcis-3754	70	24	of	of	ADP
fcis-3754	70	25	the	the	DET
fcis-3754	70	26	most	most	ADV
fcis-3754	70	27	useful	useful	ADJ
fcis-3754	70	28	way	way	NOUN
fcis-3754	70	29	to	to	PART
fcis-3754	70	30	help	help	VERB
fcis-3754	70	31	them	they	PRON
fcis-3754	70	32	making	make	VERB
fcis-3754	70	33	better	well	ADJ
fcis-3754	70	34	investment	investment	NOUN
fcis-3754	70	35	portfolio	portfolio	NOUN
fcis-3754	70	36	.	.	PUNCT
fcis-3754	71	1	most	most	ADJ
fcis-3754	71	2	of	of	ADP
fcis-3754	71	3	the	the	DET
fcis-3754	71	4	investors	investor	NOUN
fcis-3754	71	5	may	may	AUX
fcis-3754	71	6	utilize	utilize	VERB
fcis-3754	71	7	the	the	DET
fcis-3754	71	8	historical	historical	ADJ
fcis-3754	71	9	stock	stock	NOUN
fcis-3754	71	10	price	price	NOUN
fcis-3754	71	11	moving	move	VERB
fcis-3754	71	12	data	datum	NOUN
fcis-3754	71	13	to	to	PART
fcis-3754	71	14	make	make	VERB
fcis-3754	71	15	prediction	prediction	NOUN
fcis-3754	71	16	on	on	ADP
fcis-3754	71	17	the	the	DET
fcis-3754	71	18	future	future	ADJ
fcis-3754	71	19	tendency	tendency	NOUN
fcis-3754	71	20	,	,	PUNCT
fcis-3754	71	21	but	but	CCONJ
fcis-3754	71	22	it	it	PRON
fcis-3754	71	23	usually	usually	ADV
fcis-3754	71	24	does	do	AUX
fcis-3754	71	25	not	not	PART
fcis-3754	71	26	work	work	VERB
fcis-3754	71	27	well	well	ADV
fcis-3754	71	28	.	.	PUNCT
fcis-3754	72	1	what	what	PRON
fcis-3754	72	2	is	be	AUX
fcis-3754	72	3	worth	worth	ADJ
fcis-3754	72	4	mentioning	mention	VERB
fcis-3754	72	5	that	that	SCONJ
fcis-3754	72	6	,	,	PUNCT
fcis-3754	72	7	the	the	DET
fcis-3754	72	8	investors	investor	NOUN
fcis-3754	72	9	can	can	AUX
fcis-3754	72	10	make	make	VERB
fcis-3754	72	11	deep	deep	ADJ
fcis-3754	72	12	analysis	analysis	NOUN
fcis-3754	72	13	on	on	ADP
fcis-3754	72	14	historical	historical	ADJ
fcis-3754	72	15	data	datum	NOUN
fcis-3754	72	16	and	and	CCONJ
fcis-3754	72	17	establish	establish	VERB
fcis-3754	72	18	efficient	efficient	ADJ
fcis-3754	72	19	prediction	prediction	NOUN
fcis-3754	72	20	model	model	NOUN
fcis-3754	72	21	with	with	ADP
fcis-3754	72	22	the	the	DET
fcis-3754	72	23	help	help	NOUN
fcis-3754	72	24	of	of	ADP
fcis-3754	72	25	data	datum	NOUN
fcis-3754	72	26	mining	mining	NOUN
fcis-3754	72	27	technology	technology	NOUN
fcis-3754	72	28	.	.	PUNCT
fcis-3754	73	1	due	due	ADP
fcis-3754	73	2	to	to	ADP
fcis-3754	73	3	the	the	DET
fcis-3754	73	4	variety	variety	NOUN
fcis-3754	73	5	and	and	CCONJ
fcis-3754	73	6	complexity	complexity	NOUN
fcis-3754	73	7	of	of	ADP
fcis-3754	73	8	stock	stock	NOUN
fcis-3754	73	9	market	market	NOUN
fcis-3754	73	10	data	datum	NOUN
fcis-3754	73	11	,	,	PUNCT
fcis-3754	73	12	the	the	DET
fcis-3754	73	13	data	data	NOUN
fcis-3754	73	14	mining	mining	NOUN
fcis-3754	73	15	technology	technology	NOUN
fcis-3754	73	16	can	can	AUX
fcis-3754	73	17	be	be	AUX
fcis-3754	73	18	used	use	VERB
fcis-3754	73	19	to	to	PART
fcis-3754	73	20	predict	predict	VERB
fcis-3754	73	21	the	the	DET
fcis-3754	73	22	future	future	ADJ
fcis-3754	73	23	tendency	tendency	NOUN
fcis-3754	73	24	by	by	ADP
fcis-3754	73	25	implementing	implement	VERB
fcis-3754	73	26	decision	decision	NOUN
fcis-3754	73	27	tree	tree	NOUN
fcis-3754	73	28	classification	classification	NOUN
fcis-3754	73	29	algorithm	algorithm	NOUN
fcis-3754	73	30	or	or	CCONJ
fcis-3754	73	31	neural	neural	ADJ
fcis-3754	73	32	network	network	NOUN
fcis-3754	73	33	algorithms	algorithm	NOUN
fcis-3754	73	34	.	.	PUNCT
fcis-3754	74	1	in	in	ADP
fcis-3754	74	2	2016	2016	NUM
fcis-3754	74	3	,	,	PUNCT
fcis-3754	74	4	billah	billah	PROPN
fcis-3754	74	5	m	m	PROPN
fcis-3754	74	6	,	,	PUNCT
fcis-3754	74	7	waheed	waheed	PROPN
fcis-3754	74	8	s	s	PROPN
fcis-3754	74	9	,	,	PUNCT
fcis-3754	74	10	hanifa	hanifa	PROPN
fcis-3754	74	11	a	a	PRON
fcis-3754	74	12	has	have	AUX
fcis-3754	74	13	used	use	VERB
fcis-3754	74	14	an	an	DET
fcis-3754	74	15	improved	improve	VERB
fcis-3754	74	16	neural	neural	ADJ
fcis-3754	74	17	network	network	NOUN
fcis-3754	74	18	algorithm	algorithm	NOUN
fcis-3754	74	19	to	to	PART
fcis-3754	74	20	make	make	VERB
fcis-3754	74	21	prediction	prediction	NOUN
fcis-3754	74	22	on	on	ADP
fcis-3754	74	23	the	the	DET
fcis-3754	74	24	stock	stock	NOUN
fcis-3754	74	25	price	price	NOUN
fcis-3754	74	26	moving	move	VERB
fcis-3754	74	27	data	datum	NOUN
fcis-3754	74	28	[	[	X
fcis-3754	74	29	13	13	NUM
fcis-3754	74	30	]	]	PUNCT
fcis-3754	74	31	.	.	PUNCT
fcis-3754	75	1	al	al	PROPN
fcis-3754	75	2	nasseri	nasseri	PROPN
fcis-3754	75	3	a	a	PROPN
fcis-3754	75	4	,	,	PUNCT
fcis-3754	75	5	tucker	tucker	PROPN
fcis-3754	75	6	a	a	X
fcis-3754	75	7	,	,	PUNCT
fcis-3754	75	8	de	de	PROPN
fcis-3754	75	9	cesare	cesare	PROPN
fcis-3754	75	10	s	s	PRON
fcis-3754	75	11	found	find	VERB
fcis-3754	75	12	an	an	DET
fcis-3754	75	13	effective	effective	ADJ
fcis-3754	75	14	application	application	NOUN
fcis-3754	75	15	on	on	ADP
fcis-3754	75	16	financial	financial	ADJ
fcis-3754	75	17	market	market	NOUN
fcis-3754	75	18	by	by	ADP
fcis-3754	75	19	using	use	VERB
fcis-3754	75	20	decision	decision	NOUN
fcis-3754	75	21	tree	tree	NOUN
fcis-3754	75	22	algorithm	algorithm	NOUN
fcis-3754	75	23	in	in	ADP
fcis-3754	75	24	2015	2015	NUM
fcis-3754	75	25	[	[	X
fcis-3754	75	26	14	14	NUM
fcis-3754	75	27	]	]	PUNCT
fcis-3754	75	28	.	.	PUNCT
fcis-3754	76	1	al	al	PROPN
fcis-3754	76	2	nasseri	nasseri	PROPN
fcis-3754	76	3	a	a	PROPN
fcis-3754	76	4	,	,	PUNCT
fcis-3754	76	5	tucker	tucker	PROPN
fcis-3754	76	6	a	a	X
fcis-3754	76	7	,	,	PUNCT
fcis-3754	76	8	de	de	PROPN
fcis-3754	76	9	cesare	cesare	PROPN
fcis-3754	76	10	s	s	X
fcis-3754	76	11	have	have	AUX
fcis-3754	76	12	found	find	VERB
fcis-3754	76	13	that	that	SCONJ
fcis-3754	76	14	the	the	DET
fcis-3754	76	15	decision	decision	NOUN
fcis-3754	76	16	tree	tree	NOUN
fcis-3754	76	17	algorithms	algorithm	NOUN
fcis-3754	76	18	have	have	VERB
fcis-3754	76	19	some	some	DET
fcis-3754	76	20	disadvantages	disadvantage	NOUN
fcis-3754	76	21	that	that	SCONJ
fcis-3754	76	22	it	it	PRON
fcis-3754	76	23	causes	cause	VERB
fcis-3754	76	24	fragment	fragment	ADJ
fcis-3754	76	25	problem	problem	NOUN
fcis-3754	76	26	easily	easily	ADV
fcis-3754	76	27	,	,	PUNCT
fcis-3754	76	28	not	not	PART
fcis-3754	76	29	stable	stable	ADJ
fcis-3754	76	30	enough	enough	ADV
fcis-3754	76	31	and	and	CCONJ
fcis-3754	76	32	easy	easy	ADJ
fcis-3754	76	33	to	to	PART
fcis-3754	76	34	get	get	VERB
fcis-3754	76	35	into	into	ADP
fcis-3754	76	36	local	local	ADJ
fcis-3754	76	37	optimal	optimal	ADJ
fcis-3754	76	38	.	.	PUNCT
fcis-3754	77	1	there	there	PRON
fcis-3754	77	2	are	be	VERB
fcis-3754	77	3	also	also	ADV
fcis-3754	77	4	many	many	ADJ
fcis-3754	77	5	researches	research	NOUN
fcis-3754	77	6	on	on	ADP
fcis-3754	77	7	risk	risk	NOUN
fcis-3754	77	8	analysis	analysis	NOUN
fcis-3754	77	9	of	of	ADP
fcis-3754	77	10	stock	stock	NOUN
fcis-3754	77	11	price	price	NOUN
fcis-3754	77	12	moving	move	VERB
fcis-3754	77	13	data	datum	NOUN
fcis-3754	77	14	because	because	SCONJ
fcis-3754	77	15	the	the	DET
fcis-3754	77	16	investors	investor	NOUN
fcis-3754	77	17	must	must	AUX
fcis-3754	77	18	undertake	undertake	VERB
fcis-3754	77	19	the	the	DET
fcis-3754	77	20	risk	risk	NOUN
fcis-3754	77	21	of	of	ADP
fcis-3754	77	22	error	error	NOUN
fcis-3754	77	23	in	in	ADP
fcis-3754	77	24	investment	investment	NOUN
fcis-3754	77	25	.	.	PUNCT
fcis-3754	78	1	in	in	ADP
fcis-3754	78	2	some	some	DET
fcis-3754	78	3	way	way	NOUN
fcis-3754	78	4	,	,	PUNCT
fcis-3754	78	5	stock	stock	NOUN
fcis-3754	78	6	margin	margin	NOUN
fcis-3754	78	7	trading	trading	NOUN
fcis-3754	78	8	has	have	VERB
fcis-3754	78	9	a	a	DET
fcis-3754	78	10	characteristic	characteristic	NOUN
fcis-3754	78	11	of	of	ADP
fcis-3754	78	12	‘	'	PUNCT
fcis-3754	78	13	throw	throw	VERB
fcis-3754	78	14	out	out	ADP
fcis-3754	78	15	a	a	DET
fcis-3754	78	16	minnow	minnow	NOUN
fcis-3754	78	17	to	to	PART
fcis-3754	78	18	catch	catch	VERB
fcis-3754	78	19	a	a	DET
fcis-3754	78	20	whale	whale	NOUN
fcis-3754	78	21	’	'	PUNCT
fcis-3754	78	22	.	.	PUNCT
fcis-3754	79	1	in	in	ADP
fcis-3754	79	2	2004	2004	NUM
fcis-3754	79	3	,	,	PUNCT
fcis-3754	79	4	huang	huang	PROPN
fcis-3754	79	5	y	y	PROPN
fcis-3754	79	6	c	c	PROPN
fcis-3754	79	7	and	and	CCONJ
fcis-3754	79	8	lin	lin	PROPN
fcis-3754	79	9	b	b	PROPN
fcis-3754	79	10	j	j	PROPN
fcis-3754	79	11	have	have	AUX
fcis-3754	79	12	made	make	VERB
fcis-3754	79	13	analysis	analysis	NOUN
fcis-3754	79	14	on	on	ADP
fcis-3754	79	15	taiwan	taiwan	PROPN
fcis-3754	79	16	stock	stock	NOUN
fcis-3754	79	17	market	market	NOUN
fcis-3754	79	18	by	by	ADP
fcis-3754	79	19	conditional	conditional	ADJ
fcis-3754	79	20	risk	risk	NOUN
fcis-3754	79	21	analysis	analysis	NOUN
fcis-3754	79	22	.	.	PUNCT
fcis-3754	80	1	they	they	PRON
fcis-3754	80	2	also	also	ADV
fcis-3754	80	3	explored	explore	VERB
fcis-3754	80	4	and	and	CCONJ
fcis-3754	80	5	compare	compare	VERB
fcis-3754	80	6	different	different	ADJ
fcis-3754	80	7	risk	risk	NOUN
fcis-3754	80	8	analysis	analysis	NOUN
fcis-3754	80	9	methods	method	NOUN
fcis-3754	80	10	and	and	CCONJ
fcis-3754	80	11	found	find	VERB
fcis-3754	80	12	that	that	SCONJ
fcis-3754	80	13	the	the	DET
fcis-3754	80	14	value	value	NOUN
fcis-3754	80	15	at	at	ADP
fcis-3754	80	16	risk	risk	NOUN
fcis-3754	80	17	models	model	NOUN
fcis-3754	80	18	performs	perform	VERB
fcis-3754	80	19	better	well	ADV
fcis-3754	80	20	[	[	X
fcis-3754	80	21	15	15	NUM
fcis-3754	80	22	]	]	PUNCT
fcis-3754	80	23	.	.	PUNCT
fcis-3754	81	1	considering	consider	VERB
fcis-3754	81	2	an	an	DET
fcis-3754	81	3	investment	investment	NOUN
fcis-3754	81	4	portfolio	portfolio	NOUN
fcis-3754	81	5	without	without	ADP
fcis-3754	81	6	stock	stock	NOUN
fcis-3754	81	7	margin	margin	NOUN
fcis-3754	81	8	trading	trading	NOUN
fcis-3754	81	9	has	have	VERB
fcis-3754	81	10	a	a	DET
fcis-3754	81	11	profit	profit	NOUN
fcis-3754	81	12	of	of	ADP
fcis-3754	81	13	‘	'	PUNCT
fcis-3754	81	14	r	r	NOUN
fcis-3754	81	15	‘	'	PUNCT
fcis-3754	81	16	.	.	PUNCT
fcis-3754	82	1	after	after	ADP
fcis-3754	82	2	the	the	DET
fcis-3754	82	3	stock	stock	NOUN
fcis-3754	82	4	margin	margin	NOUN
fcis-3754	82	5	trading	trading	NOUN
fcis-3754	82	6	,	,	PUNCT
fcis-3754	82	7	considering	consider	VERB
fcis-3754	82	8	the	the	DET
fcis-3754	82	9	initial	initial	ADJ
fcis-3754	82	10	margin	margin	NOUN
fcis-3754	82	11	radio	radio	NOUN
fcis-3754	82	12	to	to	PART
fcis-3754	82	13	be	be	AUX
fcis-3754	82	14	‘	'	PUNCT
fcis-3754	82	15	a	a	PRON
fcis-3754	82	16	‘	'	PUNCT
fcis-3754	82	17	and	and	CCONJ
fcis-3754	82	18	0	0	NUM
fcis-3754	82	19	<	<	X
fcis-3754	82	20	a	a	DET
fcis-3754	82	21	<	<	X
fcis-3754	82	22	1	1	NUM
fcis-3754	82	23	.	.	PUNCT
fcis-3754	82	24	then	then	ADV
fcis-3754	82	25	the	the	DET
fcis-3754	82	26	real	real	ADJ
fcis-3754	82	27	profit	profit	NOUN
fcis-3754	82	28	is	be	AUX
fcis-3754	82	29	‘	'	PUNCT
fcis-3754	82	30	r	r	NOUN
fcis-3754	82	31	/	/	SYM
fcis-3754	82	32	a	a	PRON
fcis-3754	82	33	‘	'	PUNCT
fcis-3754	82	34	.	.	PUNCT
fcis-3754	83	1	because	because	SCONJ
fcis-3754	83	2	‘	'	PUNCT
fcis-3754	83	3	a	a	DET
fcis-3754	83	4	‘	'	PUNCT
fcis-3754	83	5	is	be	AUX
fcis-3754	83	6	from	from	ADP
fcis-3754	83	7	0	0	NUM
fcis-3754	83	8	to	to	ADP
fcis-3754	83	9	1	1	NUM
fcis-3754	83	10	,	,	PUNCT
fcis-3754	83	11	the	the	DET
fcis-3754	83	12	stock	stock	NOUN
fcis-3754	83	13	margin	margin	NOUN
fcis-3754	83	14	trading	trading	NOUN
fcis-3754	83	15	has	have	VERB
fcis-3754	83	16	a	a	DET
fcis-3754	83	17	leverage	leverage	NOUN
fcis-3754	83	18	effect	effect	NOUN
fcis-3754	83	19	which	which	PRON
fcis-3754	83	20	is	be	AUX
fcis-3754	83	21	discussed	discuss	VERB
fcis-3754	83	22	by	by	ADP
fcis-3754	83	23	su	su	PROPN
fcis-3754	83	24	j	j	PROPN
fcis-3754	83	25	b	b	PROPN
fcis-3754	83	26	in	in	ADP
fcis-3754	83	27	2014	2014	NUM
fcis-3754	83	28	[	[	X
fcis-3754	83	29	16	16	NUM
fcis-3754	83	30	]	]	PUNCT
fcis-3754	83	31	,	,	PUNCT
fcis-3754	83	32	and	and	CCONJ
fcis-3754	83	33	the	the	DET
fcis-3754	83	34	scale	scale	NOUN
fcis-3754	83	35	of	of	ADP
fcis-3754	83	36	this	this	DET
fcis-3754	83	37	leverage	leverage	NOUN
fcis-3754	83	38	effect	effect	NOUN
fcis-3754	83	39	is	be	AUX
fcis-3754	83	40	influenced	influence	VERB
fcis-3754	83	41	by	by	ADP
fcis-3754	83	42	the	the	DET
fcis-3754	83	43	initial	initial	ADJ
fcis-3754	83	44	margin	margin	NOUN
fcis-3754	83	45	radio	radio	NOUN
fcis-3754	83	46	.	.	PUNCT
fcis-3754	84	1	su	su	PROPN
fcis-3754	85	1	j	j	PROPN
fcis-3754	85	2	b	b	PROPN
fcis-3754	85	3	has	have	AUX
fcis-3754	85	4	also	also	ADV
fcis-3754	85	5	discussed	discuss	VERB
fcis-3754	85	6	long	long	ADJ
fcis-3754	85	7	memory	memory	NOUN
fcis-3754	85	8	and	and	CCONJ
fcis-3754	85	9	distribution	distribution	NOUN
fcis-3754	85	10	effect	effect	NOUN
fcis-3754	85	11	of	of	ADP
fcis-3754	85	12	stock	stock	NOUN
fcis-3754	85	13	price	price	NOUN
fcis-3754	85	14	moving	move	VERB
fcis-3754	85	15	data	datum	NOUN
fcis-3754	85	16	when	when	SCONJ
fcis-3754	85	17	he	he	PRON
fcis-3754	85	18	implements	implement	VERB
fcis-3754	85	19	risk	risk	NOUN
fcis-3754	85	20	analysis	analysis	NOUN
fcis-3754	85	21	on	on	ADP
fcis-3754	85	22	the	the	DET
fcis-3754	85	23	stock	stock	NOUN
fcis-3754	85	24	market	market	NOUN
fcis-3754	85	25	.	.	PUNCT
fcis-3754	86	1	what	what	PRON
fcis-3754	86	2	is	be	AUX
fcis-3754	86	3	more	more	ADJ
fcis-3754	86	4	,	,	PUNCT
fcis-3754	86	5	smith	smith	PROPN
fcis-3754	86	6	g	g	PROPN
fcis-3754	86	7	p	p	PROPN
fcis-3754	86	8	has	have	AUX
fcis-3754	86	9	discussed	discuss	VERB
fcis-3754	86	10	his	his	PRON
fcis-3754	86	11	opinion	opinion	NOUN
fcis-3754	86	12	on	on	ADP
fcis-3754	86	13	leverage	leverage	NOUN
fcis-3754	86	14	effect	effect	NOUN
fcis-3754	86	15	on	on	ADP
fcis-3754	86	16	individual	individual	ADJ
fcis-3754	86	17	stock	stock	NOUN
fcis-3754	86	18	price	price	NOUN
fcis-3754	86	19	moving	move	VERB
fcis-3754	86	20	data	datum	NOUN
fcis-3754	86	21	and	and	CCONJ
fcis-3754	86	22	found	find	VERB
fcis-3754	86	23	that	that	SCONJ
fcis-3754	86	24	the	the	DET
fcis-3754	86	25	leverage	leverage	NOUN
fcis-3754	86	26	effect	effect	NOUN
fcis-3754	86	27	is	be	AUX
fcis-3754	86	28	one	one	NUM
fcis-3754	86	29	of	of	ADP
fcis-3754	86	30	the	the	DET
fcis-3754	86	31	most	most	ADV
fcis-3754	86	32	essential	essential	ADJ
fcis-3754	86	33	mechanism	mechanism	NOUN
fcis-3754	86	34	in	in	ADP
fcis-3754	86	35	stock	stock	NOUN
fcis-3754	86	36	market	market	NOUN
fcis-3754	86	37	in	in	ADP
fcis-3754	86	38	2015	2015	NUM
fcis-3754	86	39	[	[	X
fcis-3754	86	40	17	17	NUM
fcis-3754	86	41	]	]	PUNCT
fcis-3754	86	42	.	.	PUNCT
fcis-3754	87	1	when	when	SCONJ
fcis-3754	87	2	the	the	DET
fcis-3754	87	3	number	number	NOUN
fcis-3754	87	4	of	of	ADP
fcis-3754	87	5	initial	initial	ADJ
fcis-3754	87	6	margin	margin	NOUN
fcis-3754	87	7	radio	radio	NOUN
fcis-3754	87	8	is	be	AUX
fcis-3754	87	9	smaller	small	ADJ
fcis-3754	87	10	,	,	PUNCT
fcis-3754	87	11	this	this	DET
fcis-3754	87	12	leverage	leverage	NOUN
fcis-3754	87	13	effect	effect	NOUN
fcis-3754	87	14	is	be	AUX
fcis-3754	87	15	bigger	big	ADJ
fcis-3754	87	16	and	and	CCONJ
fcis-3754	87	17	the	the	DET
fcis-3754	87	18	risk	risk	NOUN
fcis-3754	87	19	level	level	NOUN
fcis-3754	87	20	of	of	ADP
fcis-3754	87	21	investors	investor	NOUN
fcis-3754	87	22	are	be	AUX
fcis-3754	87	23	higher	high	ADJ
fcis-3754	87	24	.	.	PUNCT
fcis-3754	88	1	in	in	ADP
fcis-3754	88	2	the	the	DET
fcis-3754	88	3	risk	risk	NOUN
fcis-3754	88	4	analysis	analysis	NOUN
fcis-3754	88	5	,	,	PUNCT
fcis-3754	88	6	34	34	NUM
fcis-3754	88	7	the	the	DET
fcis-3754	88	8	investors	investor	NOUN
fcis-3754	88	9	are	be	AUX
fcis-3754	88	10	trying	try	VERB
fcis-3754	88	11	to	to	PART
fcis-3754	88	12	choose	choose	VERB
fcis-3754	88	13	those	those	DET
fcis-3754	88	14	stocks	stock	NOUN
fcis-3754	88	15	which	which	PRON
fcis-3754	88	16	have	have	VERB
fcis-3754	88	17	a	a	DET
fcis-3754	88	18	good	good	ADJ
fcis-3754	88	19	development	development	NOUN
fcis-3754	88	20	and	and	CCONJ
fcis-3754	88	21	smaller	small	ADJ
fcis-3754	88	22	initial	initial	ADJ
fcis-3754	88	23	margin	margin	NOUN
fcis-3754	88	24	radio	radio	NOUN
fcis-3754	88	25	to	to	PART
fcis-3754	88	26	reduce	reduce	VERB
fcis-3754	88	27	the	the	DET
fcis-3754	88	28	risk	risk	NOUN
fcis-3754	88	29	of	of	ADP
fcis-3754	88	30	investment	investment	NOUN
fcis-3754	88	31	.	.	PUNCT
fcis-3754	89	1	in	in	ADP
fcis-3754	89	2	2017	2017	NUM
fcis-3754	89	3	,	,	PUNCT
fcis-3754	89	4	mensi	mensi	PROPN
fcis-3754	89	5	w	w	PROPN
fcis-3754	89	6	,	,	PUNCT
fcis-3754	89	7	hammoudeh	hammoudeh	VERB
fcis-3754	89	8	s	s	PROPN
fcis-3754	89	9	,	,	PUNCT
fcis-3754	89	10	kang	kang	PROPN
fcis-3754	89	11	s	s	VERB
fcis-3754	89	12	h	h	NOUN
fcis-3754	89	13	have	have	AUX
fcis-3754	89	14	shown	show	VERB
fcis-3754	89	15	their	their	PRON
fcis-3754	89	16	researches	research	NOUN
fcis-3754	89	17	on	on	ADP
fcis-3754	89	18	the	the	DET
fcis-3754	89	19	investment	investment	NOUN
fcis-3754	89	20	portfolio	portfolio	NOUN
fcis-3754	89	21	risk	risk	NOUN
fcis-3754	89	22	analysis	analysis	NOUN
fcis-3754	89	23	on	on	ADP
fcis-3754	89	24	the	the	DET
fcis-3754	89	25	stock	stock	NOUN
fcis-3754	89	26	price	price	NOUN
fcis-3754	89	27	moving	move	VERB
fcis-3754	89	28	data	datum	NOUN
fcis-3754	89	29	and	and	CCONJ
fcis-3754	89	30	provided	provide	VERB
fcis-3754	89	31	their	their	PRON
fcis-3754	89	32	method	method	NOUN
fcis-3754	89	33	for	for	ADP
fcis-3754	89	34	make	make	VERB
fcis-3754	89	35	evaluation	evaluation	NOUN
fcis-3754	89	36	on	on	ADP
fcis-3754	89	37	investment	investment	NOUN
fcis-3754	89	38	portfolios	portfolio	NOUN
fcis-3754	89	39	[	[	X
fcis-3754	89	40	18	18	NUM
fcis-3754	89	41	]	]	PUNCT
fcis-3754	89	42	.	.	PUNCT
fcis-3754	90	1	in	in	ADP
fcis-3754	90	2	addition	addition	NOUN
fcis-3754	90	3	,	,	PUNCT
fcis-3754	90	4	some	some	DET
fcis-3754	90	5	other	other	ADJ
fcis-3754	90	6	algorithms	algorithm	NOUN
fcis-3754	90	7	,	,	PUNCT
fcis-3754	90	8	such	such	ADJ
fcis-3754	90	9	as	as	ADP
fcis-3754	90	10	association	association	NOUN
fcis-3754	90	11	rules	rule	NOUN
fcis-3754	90	12	and	and	CCONJ
fcis-3754	90	13	artificial	artificial	ADJ
fcis-3754	90	14	neural	neural	ADJ
fcis-3754	90	15	networks	network	NOUN
fcis-3754	90	16	are	be	AUX
fcis-3754	90	17	also	also	ADV
fcis-3754	90	18	common	common	ADJ
fcis-3754	90	19	in	in	ADP
fcis-3754	90	20	use	use	NOUN
fcis-3754	90	21	in	in	ADP
fcis-3754	90	22	some	some	DET
fcis-3754	90	23	researches	research	NOUN
fcis-3754	90	24	before	before	ADV
fcis-3754	90	25	.	.	PUNCT
fcis-3754	91	1	association	association	NOUN
fcis-3754	91	2	rules	rule	NOUN
fcis-3754	91	3	is	be	AUX
fcis-3754	91	4	a	a	DET
fcis-3754	91	5	category	category	NOUN
fcis-3754	91	6	of	of	ADP
fcis-3754	91	7	data	datum	NOUN
fcis-3754	91	8	mining	mining	NOUN
fcis-3754	91	9	technique	technique	NOUN
fcis-3754	91	10	and	and	CCONJ
fcis-3754	91	11	the	the	DET
fcis-3754	91	12	apriori	apriori	ADJ
fcis-3754	91	13	algorithm	algorithm	NOUN
fcis-3754	91	14	is	be	AUX
fcis-3754	91	15	one	one	NUM
fcis-3754	91	16	of	of	ADP
fcis-3754	91	17	them	they	PRON
fcis-3754	91	18	which	which	PRON
fcis-3754	91	19	mines	mine	VERB
fcis-3754	91	20	knowledge	knowledge	NOUN
fcis-3754	91	21	from	from	ADP
fcis-3754	91	22	historical	historical	ADJ
fcis-3754	91	23	data	datum	NOUN
fcis-3754	91	24	as	as	ADP
fcis-3754	91	25	knowledge	knowledge	NOUN
fcis-3754	91	26	patterns	pattern	NOUN
fcis-3754	91	27	.	.	PUNCT
fcis-3754	92	1	the	the	DET
fcis-3754	92	2	basic	basic	ADJ
fcis-3754	92	3	idea	idea	NOUN
fcis-3754	92	4	of	of	ADP
fcis-3754	92	5	association	association	NOUN
fcis-3754	92	6	rules	rule	NOUN
fcis-3754	92	7	is	be	AUX
fcis-3754	92	8	discussed	discuss	VERB
fcis-3754	92	9	by	by	ADP
fcis-3754	92	10	park	park	NOUN
fcis-3754	92	11	j	j	PROPN
fcis-3754	92	12	s	s	PROPN
fcis-3754	92	13	,	,	PUNCT
fcis-3754	92	14	chen	chen	PROPN
fcis-3754	92	15	m	m	PROPN
fcis-3754	92	16	s	s	PROPN
fcis-3754	92	17	and	and	CCONJ
fcis-3754	92	18	yu	yu	PRON
fcis-3754	93	1	p	p	PROPN
fcis-3754	93	2	s	s	PROPN
fcis-3754	93	3	in	in	ADP
fcis-3754	93	4	1995	1995	NUM
fcis-3754	93	5	that	that	SCONJ
fcis-3754	93	6	,	,	PUNCT
fcis-3754	93	7	for	for	ADP
fcis-3754	93	8	example	example	NOUN
fcis-3754	93	9	,	,	PUNCT
fcis-3754	93	10	there	there	PRON
fcis-3754	93	11	is	be	VERB
fcis-3754	93	12	a	a	DET
fcis-3754	93	13	relationship	relationship	NOUN
fcis-3754	93	14	between	between	ADP
fcis-3754	93	15	item	item	NOUN
fcis-3754	93	16	a	a	PRON
fcis-3754	93	17	and	and	CCONJ
fcis-3754	93	18	b	b	NOUN
fcis-3754	93	19	if	if	SCONJ
fcis-3754	93	20	a	a	DET
fcis-3754	93	21	man	man	NOUN
fcis-3754	93	22	who	who	PRON
fcis-3754	93	23	buys	buy	VERB
fcis-3754	93	24	a	a	PRON
fcis-3754	93	25	and	and	CCONJ
fcis-3754	93	26	b	b	NOUN
fcis-3754	93	27	at	at	ADP
fcis-3754	93	28	the	the	DET
fcis-3754	93	29	same	same	ADJ
fcis-3754	93	30	time	time	NOUN
fcis-3754	93	31	and	and	CCONJ
fcis-3754	93	32	this	this	DET
fcis-3754	93	33	rule	rule	NOUN
fcis-3754	93	34	is	be	AUX
fcis-3754	93	35	also	also	ADV
fcis-3754	93	36	appropriate	appropriate	ADJ
fcis-3754	93	37	to	to	ADP
fcis-3754	93	38	stock	stock	NOUN
fcis-3754	93	39	price	price	NOUN
fcis-3754	93	40	moving	move	VERB
fcis-3754	93	41	too	too	ADV
fcis-3754	94	1	[	[	X
fcis-3754	94	2	19	19	NUM
fcis-3754	94	3	]	]	PUNCT
fcis-3754	94	4	.	.	PUNCT
fcis-3754	95	1	so	so	ADV
fcis-3754	95	2	association	association	NOUN
fcis-3754	95	3	rule	rule	NOUN
fcis-3754	95	4	research	research	NOUN
fcis-3754	95	5	is	be	AUX
fcis-3754	95	6	sometimes	sometimes	ADV
fcis-3754	95	7	based	base	VERB
fcis-3754	95	8	on	on	ADP
fcis-3754	95	9	user	user	NOUN
fcis-3754	95	10	’s	’s	PART
fcis-3754	95	11	behavior	behavior	NOUN
fcis-3754	95	12	in	in	ADP
fcis-3754	95	13	some	some	DET
fcis-3754	95	14	way	way	NOUN
fcis-3754	95	15	.	.	PUNCT
fcis-3754	96	1	what	what	PRON
fcis-3754	96	2	is	be	AUX
fcis-3754	96	3	more	more	ADV
fcis-3754	96	4	,	,	PUNCT
fcis-3754	96	5	asadifar	asadifar	ADV
fcis-3754	96	6	s	s	PART
fcis-3754	96	7	and	and	CCONJ
fcis-3754	96	8	kahani	kahani	PROPN
fcis-3754	97	1	m	m	VERB
fcis-3754	97	2	have	have	AUX
fcis-3754	97	3	put	put	VERB
fcis-3754	97	4	forward	forward	ADV
fcis-3754	97	5	their	their	PRON
fcis-3754	97	6	improved	improved	ADJ
fcis-3754	97	7	research	research	NOUN
fcis-3754	97	8	achievement	achievement	NOUN
fcis-3754	97	9	that	that	PRON
fcis-3754	97	10	they	they	PRON
fcis-3754	97	11	implement	implement	VERB
fcis-3754	97	12	semantic	semantic	ADJ
fcis-3754	97	13	data	datum	NOUN
fcis-3754	97	14	mining	mining	NOUN
fcis-3754	97	15	for	for	ADP
fcis-3754	97	16	prediction	prediction	NOUN
fcis-3754	97	17	of	of	ADP
fcis-3754	97	18	stock	stock	NOUN
fcis-3754	97	19	price	price	NOUN
fcis-3754	97	20	moving	move	VERB
fcis-3754	97	21	data	datum	NOUN
fcis-3754	97	22	by	by	ADP
fcis-3754	97	23	using	use	VERB
fcis-3754	97	24	association	association	NOUN
fcis-3754	97	25	rules	rule	NOUN
fcis-3754	97	26	in	in	ADP
fcis-3754	97	27	2017	2017	NUM
fcis-3754	97	28	[	[	SYM
fcis-3754	97	29	20	20	NUM
fcis-3754	97	30	]	]	PUNCT
fcis-3754	97	31	.	.	PUNCT
fcis-3754	98	1	in	in	ADP
fcis-3754	98	2	2017	2017	NUM
fcis-3754	98	3	,	,	PUNCT
fcis-3754	98	4	selvanambi	selvanambi	NOUN
fcis-3754	98	5	r	r	PROPN
fcis-3754	98	6	and	and	CCONJ
fcis-3754	98	7	natarajan	natarajan	PROPN
fcis-3754	98	8	j	j	PROPN
fcis-3754	98	9	have	have	AUX
fcis-3754	98	10	applied	apply	VERB
fcis-3754	98	11	their	their	PRON
fcis-3754	98	12	improved	improve	VERB
fcis-3754	98	13	apriori	apriori	ADJ
fcis-3754	98	14	algorithm	algorithm	NOUN
fcis-3754	98	15	on	on	ADP
fcis-3754	98	16	performance	performance	NOUN
fcis-3754	98	17	evaluation	evaluation	NOUN
fcis-3754	98	18	which	which	PRON
fcis-3754	98	19	is	be	AUX
fcis-3754	98	20	used	use	VERB
fcis-3754	98	21	for	for	ADP
fcis-3754	98	22	association	association	NOUN
fcis-3754	98	23	rule	rule	NOUN
fcis-3754	98	24	mining	mining	NOUN
fcis-3754	98	25	on	on	ADP
fcis-3754	98	26	the	the	DET
fcis-3754	98	27	stock	stock	NOUN
fcis-3754	98	28	price	price	NOUN
fcis-3754	98	29	moving	move	VERB
fcis-3754	98	30	data	datum	NOUN
fcis-3754	98	31	[	[	X
fcis-3754	98	32	21	21	NUM
fcis-3754	98	33	]	]	PUNCT
fcis-3754	98	34	.	.	PUNCT
fcis-3754	99	1	som	som	NOUN
fcis-3754	99	2	algorithm	algorithm	PROPN
fcis-3754	99	3	is	be	AUX
fcis-3754	99	4	one	one	NUM
fcis-3754	99	5	of	of	ADP
fcis-3754	99	6	the	the	DET
fcis-3754	99	7	artificial	artificial	ADJ
fcis-3754	99	8	neural	neural	ADJ
fcis-3754	99	9	networks	network	NOUN
fcis-3754	99	10	that	that	PRON
fcis-3754	99	11	imitates	imitate	VERB
fcis-3754	99	12	the	the	DET
fcis-3754	99	13	function	function	NOUN
fcis-3754	99	14	of	of	ADP
fcis-3754	99	15	the	the	DET
fcis-3754	99	16	human	human	ADJ
fcis-3754	99	17	brains	brain	NOUN
fcis-3754	99	18	that	that	PRON
fcis-3754	99	19	categorize	categorize	VERB
fcis-3754	99	20	items	item	NOUN
fcis-3754	99	21	by	by	ADP
fcis-3754	99	22	groups	group	NOUN
fcis-3754	99	23	and	and	CCONJ
fcis-3754	99	24	it	it	PRON
fcis-3754	99	25	is	be	AUX
fcis-3754	99	26	also	also	ADV
fcis-3754	99	27	well	well	ADV
fcis-3754	99	28	known	know	VERB
fcis-3754	99	29	as	as	ADP
fcis-3754	99	30	a	a	DET
fcis-3754	99	31	self	self	NOUN
fcis-3754	99	32	-	-	PUNCT
fcis-3754	99	33	organization	organization	NOUN
fcis-3754	99	34	algorithm	algorithm	NOUN
fcis-3754	99	35	.	.	PUNCT
fcis-3754	100	1	isa	isa	PROPN
fcis-3754	100	2	d	d	PROPN
fcis-3754	100	3	,	,	PUNCT
fcis-3754	100	4	kallimani	kallimani	VERB
fcis-3754	100	5	v	v	ADP
fcis-3754	100	6	p	p	NOUN
fcis-3754	100	7	and	and	CCONJ
fcis-3754	100	8	lee	lee	PROPN
fcis-3754	100	9	l	l	PROPN
fcis-3754	100	10	h	h	PROPN
fcis-3754	100	11	have	have	AUX
fcis-3754	100	12	discussed	discuss	VERB
fcis-3754	100	13	that	that	PRON
fcis-3754	100	14	som	som	PROPN
fcis-3754	100	15	algorithm	algorithm	NOUN
fcis-3754	100	16	is	be	AUX
fcis-3754	100	17	measured	measure	VERB
fcis-3754	100	18	to	to	PART
fcis-3754	100	19	be	be	AUX
fcis-3754	100	20	useful	useful	ADJ
fcis-3754	100	21	in	in	ADP
fcis-3754	100	22	classification	classification	NOUN
fcis-3754	100	23	of	of	ADP
fcis-3754	100	24	text	text	NOUN
fcis-3754	100	25	documents	document	NOUN
fcis-3754	100	26	in	in	ADP
fcis-3754	100	27	2009	2009	NUM
fcis-3754	100	28	[	[	X
fcis-3754	100	29	22	22	NUM
fcis-3754	100	30	]	]	PUNCT
fcis-3754	100	31	.	.	PUNCT
fcis-3754	101	1	and	and	CCONJ
fcis-3754	101	2	in	in	ADP
fcis-3754	101	3	2007	2007	NUM
fcis-3754	101	4	,	,	PUNCT
fcis-3754	101	5	the	the	DET
fcis-3754	101	6	som	som	NOUN
fcis-3754	101	7	algorithm	algorithm	NOUN
fcis-3754	101	8	is	be	AUX
fcis-3754	101	9	used	use	VERB
fcis-3754	101	10	in	in	ADP
fcis-3754	101	11	predicting	predict	VERB
fcis-3754	101	12	stock	stock	NOUN
fcis-3754	101	13	price	price	NOUN
fcis-3754	101	14	moving	move	VERB
fcis-3754	101	15	by	by	ADP
fcis-3754	101	16	afolabi	afolabi	NOUN
fcis-3754	101	17	m	m	NOUN
fcis-3754	101	18	o	o	NOUN
fcis-3754	101	19	and	and	CCONJ
fcis-3754	101	20	olude	olude	VERB
fcis-3754	102	1	o	o	X
fcis-3754	103	1	[	[	X
fcis-3754	103	2	23	23	NUM
fcis-3754	103	3	]	]	PUNCT
fcis-3754	103	4	.	.	PUNCT
fcis-3754	104	1	it	it	PRON
fcis-3754	104	2	remains	remain	VERB
fcis-3754	104	3	to	to	PART
fcis-3754	104	4	be	be	AUX
fcis-3754	104	5	confirmed	confirm	VERB
fcis-3754	104	6	whether	whether	SCONJ
fcis-3754	104	7	the	the	DET
fcis-3754	104	8	som	som	NOUN
fcis-3754	104	9	algorithm	algorithm	NOUN
fcis-3754	104	10	is	be	AUX
fcis-3754	104	11	suitable	suitable	ADJ
fcis-3754	104	12	for	for	ADP
fcis-3754	104	13	classification	classification	NOUN
fcis-3754	104	14	of	of	ADP
fcis-3754	104	15	stock	stock	NOUN
fcis-3754	104	16	price	price	NOUN
fcis-3754	104	17	moving	move	VERB
fcis-3754	104	18	data	datum	NOUN
fcis-3754	104	19	.	.	PUNCT
fcis-3754	105	1	on	on	ADP
fcis-3754	105	2	the	the	DET
fcis-3754	105	3	other	other	ADJ
fcis-3754	105	4	side	side	NOUN
fcis-3754	105	5	,	,	PUNCT
fcis-3754	105	6	lertyingyod	lertyingyod	NOUN
fcis-3754	105	7	w	w	NOUN
fcis-3754	105	8	and	and	CCONJ
fcis-3754	105	9	benjamas	benjama	NOUN
fcis-3754	106	1	n	n	PRON
fcis-3754	106	2	have	have	AUX
fcis-3754	106	3	put	put	VERB
fcis-3754	106	4	forward	forward	ADV
fcis-3754	106	5	their	their	PRON
fcis-3754	106	6	evaluation	evaluation	NOUN
fcis-3754	106	7	models	model	NOUN
fcis-3754	106	8	on	on	ADP
fcis-3754	106	9	the	the	DET
fcis-3754	106	10	stock	stock	NOUN
fcis-3754	106	11	price	price	NOUN
fcis-3754	106	12	moving	move	VERB
fcis-3754	106	13	by	by	ADP
fcis-3754	106	14	implementing	implement	VERB
fcis-3754	106	15	artificial	artificial	ADJ
fcis-3754	106	16	neural	neural	ADJ
fcis-3754	106	17	networks	network	NOUN
fcis-3754	106	18	in	in	ADP
fcis-3754	106	19	2016	2016	NUM
fcis-3754	106	20	[	[	X
fcis-3754	106	21	24	24	NUM
fcis-3754	106	22	]	]	PUNCT
fcis-3754	106	23	.	.	PUNCT
fcis-3754	107	1	they	they	PRON
fcis-3754	107	2	are	be	AUX
fcis-3754	107	3	aimed	aim	VERB
fcis-3754	107	4	to	to	PART
fcis-3754	107	5	show	show	VERB
fcis-3754	107	6	the	the	DET
fcis-3754	107	7	investors	investor	NOUN
fcis-3754	107	8	much	much	ADV
fcis-3754	107	9	more	more	ADJ
fcis-3754	107	10	information	information	NOUN
fcis-3754	107	11	but	but	CCONJ
fcis-3754	107	12	they	they	PRON
fcis-3754	107	13	do	do	AUX
fcis-3754	107	14	not	not	PART
fcis-3754	107	15	make	make	VERB
fcis-3754	107	16	the	the	DET
fcis-3754	107	17	decision	decision	NOUN
fcis-3754	107	18	for	for	ADP
fcis-3754	107	19	the	the	DET
fcis-3754	107	20	investors	investor	NOUN
fcis-3754	107	21	.	.	PUNCT
fcis-3754	108	1	their	their	PRON
fcis-3754	108	2	work	work	NOUN
fcis-3754	108	3	implies	imply	VERB
fcis-3754	108	4	that	that	SCONJ
fcis-3754	108	5	historical	historical	ADJ
fcis-3754	108	6	stock	stock	NOUN
fcis-3754	108	7	price	price	NOUN
fcis-3754	108	8	moving	move	VERB
fcis-3754	108	9	data	datum	NOUN
fcis-3754	108	10	can	can	AUX
fcis-3754	108	11	be	be	AUX
fcis-3754	108	12	used	use	VERB
fcis-3754	108	13	to	to	PART
fcis-3754	108	14	make	make	VERB
fcis-3754	108	15	classification	classification	NOUN
fcis-3754	108	16	on	on	ADP
fcis-3754	108	17	different	different	ADJ
fcis-3754	108	18	stocks	stock	NOUN
fcis-3754	108	19	for	for	SCONJ
fcis-3754	108	20	the	the	DET
fcis-3754	108	21	investors	investor	NOUN
fcis-3754	108	22	to	to	PART
fcis-3754	108	23	come	come	VERB
fcis-3754	108	24	up	up	ADP
fcis-3754	108	25	their	their	PRON
fcis-3754	108	26	own	own	ADJ
fcis-3754	108	27	decisions	decision	NOUN
fcis-3754	108	28	and	and	CCONJ
fcis-3754	108	29	make	make	VERB
fcis-3754	108	30	their	their	PRON
fcis-3754	108	31	best	good	ADJ
fcis-3754	108	32	investment	investment	NOUN
fcis-3754	108	33	portfolio	portfolio	NOUN
fcis-3754	108	34	.	.	PUNCT
fcis-3754	109	1	in	in	ADP
fcis-3754	109	2	addition	addition	NOUN
fcis-3754	109	3	,	,	PUNCT
fcis-3754	109	4	there	there	PRON
fcis-3754	109	5	are	be	VERB
fcis-3754	109	6	some	some	DET
fcis-3754	109	7	other	other	ADJ
fcis-3754	109	8	existing	exist	VERB
fcis-3754	109	9	methods	method	NOUN
fcis-3754	109	10	that	that	PRON
fcis-3754	109	11	have	have	AUX
fcis-3754	109	12	been	be	AUX
fcis-3754	109	13	consider	consider	VERB
fcis-3754	109	14	such	such	ADJ
fcis-3754	109	15	as	as	ADP
fcis-3754	109	16	chaotic	chaotic	ADJ
fcis-3754	109	17	map	map	NOUN
fcis-3754	109	18	synchronization	synchronization	NOUN
fcis-3754	109	19	by	by	ADP
fcis-3754	109	20	basalto	basalto	NOUN
fcis-3754	109	21	n	n	CCONJ
fcis-3754	109	22	,	,	PUNCT
fcis-3754	109	23	bellotti	bellotti	VERB
fcis-3754	109	24	r	r	NOUN
fcis-3754	109	25	,	,	PUNCT
fcis-3754	109	26	de	de	PROPN
fcis-3754	109	27	carlo	carlo	PROPN
fcis-3754	109	28	f	f	PROPN
fcis-3754	109	29	in	in	ADP
fcis-3754	109	30	2005	2005	NUM
fcis-3754	109	31	and	and	CCONJ
fcis-3754	109	32	enhanced	enhance	VERB
fcis-3754	109	33	index	index	NOUN
fcis-3754	109	34	tracking	tracking	NOUN
fcis-3754	109	35	portfolio	portfolio	NOUN
fcis-3754	109	36	by	by	ADP
fcis-3754	109	37	dose	dose	PROPN
fcis-3754	109	38	c	c	PROPN
fcis-3754	109	39	and	and	CCONJ
fcis-3754	109	40	cincotti	cincotti	VERB
fcis-3754	109	41	s	s	PROPN
fcis-3754	109	42	in	in	ADP
fcis-3754	109	43	2005	2005	NUM
fcis-3754	110	1	[	[	X
fcis-3754	110	2	25	25	NUM
fcis-3754	110	3	]	]	X
fcis-3754	110	4	[	[	X
fcis-3754	110	5	26	26	NUM
fcis-3754	110	6	]	]	PUNCT
fcis-3754	110	7	.	.	PUNCT
fcis-3754	111	1	however	however	ADV
fcis-3754	111	2	,	,	PUNCT
fcis-3754	111	3	it	it	PRON
fcis-3754	111	4	is	be	AUX
fcis-3754	111	5	not	not	PART
fcis-3754	111	6	easy	easy	ADJ
fcis-3754	111	7	to	to	PART
fcis-3754	111	8	assess	assess	VERB
fcis-3754	111	9	the	the	DET
fcis-3754	111	10	performance	performance	NOUN
fcis-3754	111	11	between	between	ADP
fcis-3754	111	12	these	these	DET
fcis-3754	111	13	methods	method	NOUN
fcis-3754	111	14	because	because	SCONJ
fcis-3754	111	15	different	different	ADJ
fcis-3754	111	16	evaluation	evaluation	NOUN
fcis-3754	111	17	index	index	NOUN
fcis-3754	111	18	benefits	benefit	VERB
fcis-3754	111	19	different	different	ADJ
fcis-3754	111	20	method	method	NOUN
fcis-3754	111	21	.	.	PUNCT
fcis-3754	112	1	2.3	2.3	NUM
fcis-3754	112	2	.	.	PUNCT
fcis-3754	113	1	clustering	cluster	VERB
fcis-3754	113	2	algorithms	algorithm	NOUN
fcis-3754	113	3	clustering	clustering	NOUN
fcis-3754	113	4	method	method	NOUN
fcis-3754	113	5	is	be	AUX
fcis-3754	113	6	one	one	NUM
fcis-3754	113	7	of	of	ADP
fcis-3754	113	8	the	the	DET
fcis-3754	113	9	technical	technical	ADJ
fcis-3754	113	10	analysis	analysis	NOUN
fcis-3754	113	11	methods	method	NOUN
fcis-3754	113	12	.	.	PUNCT
fcis-3754	114	1	to	to	PART
fcis-3754	114	2	do	do	AUX
fcis-3754	114	3	research	research	NOUN
fcis-3754	114	4	on	on	ADP
fcis-3754	114	5	clustering	clustering	ADJ
fcis-3754	114	6	methods	method	NOUN
fcis-3754	114	7	is	be	AUX
fcis-3754	114	8	a	a	DET
fcis-3754	114	9	hot	hot	ADJ
fcis-3754	114	10	issue	issue	NOUN
fcis-3754	114	11	for	for	ADP
fcis-3754	114	12	study	study	NOUN
fcis-3754	114	13	in	in	ADP
fcis-3754	114	14	the	the	DET
fcis-3754	114	15	data	data	NOUN
fcis-3754	114	16	mining	mining	NOUN
fcis-3754	114	17	area	area	NOUN
fcis-3754	114	18	and	and	CCONJ
fcis-3754	114	19	machine	machine	NOUN
fcis-3754	114	20	learning	learning	NOUN
fcis-3754	114	21	area	area	NOUN
fcis-3754	114	22	.	.	PUNCT
fcis-3754	115	1	thus	thus	ADV
fcis-3754	115	2	,	,	PUNCT
fcis-3754	115	3	a	a	DET
fcis-3754	115	4	great	great	ADJ
fcis-3754	115	5	number	number	NOUN
fcis-3754	115	6	of	of	ADP
fcis-3754	115	7	researches	research	NOUN
fcis-3754	115	8	have	have	AUX
fcis-3754	115	9	been	be	AUX
fcis-3754	115	10	done	do	VERB
fcis-3754	115	11	aiming	aim	VERB
fcis-3754	115	12	at	at	ADP
fcis-3754	115	13	giving	give	VERB
fcis-3754	115	14	a	a	DET
fcis-3754	115	15	method	method	NOUN
fcis-3754	115	16	of	of	ADP
fcis-3754	115	17	high	high	ADJ
fcis-3754	115	18	performance	performance	NOUN
fcis-3754	115	19	and	and	CCONJ
fcis-3754	115	20	the	the	DET
fcis-3754	115	21	academic	academic	ADJ
fcis-3754	115	22	researchers	researcher	NOUN
fcis-3754	115	23	often	often	ADV
fcis-3754	115	24	use	use	VERB
fcis-3754	115	25	data	datum	NOUN
fcis-3754	115	26	mining	mining	NOUN
fcis-3754	115	27	or	or	CCONJ
fcis-3754	115	28	machine	machine	NOUN
fcis-3754	115	29	learning	learning	NOUN
fcis-3754	115	30	methods	method	NOUN
fcis-3754	115	31	from	from	ADP
fcis-3754	115	32	historical	historical	ADJ
fcis-3754	115	33	data	datum	NOUN
fcis-3754	115	34	.	.	PUNCT
fcis-3754	116	1	some	some	PRON
fcis-3754	116	2	of	of	ADP
fcis-3754	116	3	the	the	DET
fcis-3754	116	4	researchers	researcher	NOUN
fcis-3754	116	5	are	be	AUX
fcis-3754	116	6	aiming	aim	VERB
fcis-3754	116	7	at	at	ADP
fcis-3754	116	8	improve	improve	VERB
fcis-3754	116	9	existing	exist	VERB
fcis-3754	116	10	clustering	clustering	ADJ
fcis-3754	116	11	methods	method	NOUN
fcis-3754	116	12	or	or	CCONJ
fcis-3754	116	13	put	put	VERB
fcis-3754	116	14	forward	forward	ADV
fcis-3754	116	15	another	another	DET
fcis-3754	116	16	new	new	ADJ
fcis-3754	116	17	clustering	clustering	NOUN
fcis-3754	116	18	method	method	NOUN
fcis-3754	116	19	.	.	PUNCT
fcis-3754	117	1	for	for	ADP
fcis-3754	117	2	the	the	DET
fcis-3754	117	3	traditional	traditional	ADJ
fcis-3754	117	4	clustering	clustering	NOUN
fcis-3754	117	5	method	method	NOUN
fcis-3754	117	6	,	,	PUNCT
fcis-3754	117	7	such	such	ADJ
fcis-3754	117	8	as	as	ADP
fcis-3754	117	9	k	k	NOUN
fcis-3754	117	10	-	-	PUNCT
fcis-3754	117	11	means	means	NOUN
fcis-3754	117	12	algorithm	algorithm	NOUN
fcis-3754	117	13	or	or	CCONJ
fcis-3754	117	14	cure	cure	NOUN
fcis-3754	117	15	algorithm	algorithm	NOUN
fcis-3754	117	16	,	,	PUNCT
fcis-3754	117	17	the	the	DET
fcis-3754	117	18	number	number	NOUN
fcis-3754	117	19	of	of	ADP
fcis-3754	117	20	clusters	cluster	NOUN
fcis-3754	117	21	are	be	AUX
fcis-3754	117	22	need	need	ADJ
fcis-3754	117	23	to	to	PART
fcis-3754	117	24	be	be	AUX
fcis-3754	117	25	specified	specify	VERB
fcis-3754	117	26	by	by	ADP
fcis-3754	117	27	the	the	DET
fcis-3754	117	28	researcher	researcher	NOUN
fcis-3754	117	29	before	before	ADP
fcis-3754	117	30	implementing	implement	VERB
fcis-3754	117	31	the	the	DET
fcis-3754	117	32	clustering	clustering	ADJ
fcis-3754	117	33	process	process	NOUN
fcis-3754	117	34	.	.	PUNCT
fcis-3754	118	1	however	however	ADV
fcis-3754	118	2	,	,	PUNCT
fcis-3754	118	3	in	in	ADP
fcis-3754	118	4	the	the	DET
fcis-3754	118	5	real	real	ADJ
fcis-3754	118	6	stock	stock	NOUN
fcis-3754	118	7	price	price	NOUN
fcis-3754	118	8	moving	move	VERB
fcis-3754	118	9	data	datum	NOUN
fcis-3754	118	10	,	,	PUNCT
fcis-3754	118	11	the	the	DET
fcis-3754	118	12	number	number	NOUN
fcis-3754	118	13	of	of	ADP
fcis-3754	118	14	clusters	cluster	NOUN
fcis-3754	118	15	are	be	AUX
fcis-3754	118	16	unknown	unknown	ADJ
fcis-3754	118	17	so	so	SCONJ
fcis-3754	118	18	that	that	SCONJ
fcis-3754	118	19	an	an	DET
fcis-3754	118	20	appropriate	appropriate	ADJ
fcis-3754	118	21	number	number	NOUN
fcis-3754	118	22	of	of	ADP
fcis-3754	118	23	experiments	experiment	NOUN
fcis-3754	118	24	are	be	AUX
fcis-3754	118	25	useful	useful	ADJ
fcis-3754	118	26	to	to	PART
fcis-3754	118	27	achieve	achieve	VERB
fcis-3754	118	28	the	the	DET
fcis-3754	118	29	best	good	ADJ
fcis-3754	118	30	number	number	NOUN
fcis-3754	118	31	of	of	ADP
fcis-3754	118	32	clusters	cluster	NOUN
fcis-3754	118	33	.	.	PUNCT
fcis-3754	119	1	the	the	DET
fcis-3754	119	2	traditional	traditional	ADJ
fcis-3754	119	3	clustering	clustering	ADJ
fcis-3754	119	4	methods	method	NOUN
fcis-3754	119	5	are	be	AUX
fcis-3754	119	6	generally	generally	ADV
fcis-3754	119	7	suitable	suitable	ADJ
fcis-3754	119	8	under	under	ADP
fcis-3754	119	9	certain	certain	ADJ
fcis-3754	119	10	condition	condition	NOUN
fcis-3754	119	11	,	,	PUNCT
fcis-3754	119	12	and	and	CCONJ
fcis-3754	119	13	there	there	PRON
fcis-3754	119	14	is	be	VERB
fcis-3754	119	15	not	not	PART
fcis-3754	119	16	any	any	DET
fcis-3754	119	17	clustering	clustering	NOUN
fcis-3754	119	18	method	method	NOUN
fcis-3754	119	19	which	which	PRON
fcis-3754	119	20	can	can	AUX
fcis-3754	119	21	be	be	AUX
fcis-3754	119	22	applied	apply	VERB
fcis-3754	119	23	to	to	ADP
fcis-3754	119	24	all	all	DET
fcis-3754	119	25	the	the	DET
fcis-3754	119	26	cases	case	NOUN
fcis-3754	119	27	.	.	PUNCT
fcis-3754	120	1	now	now	ADV
fcis-3754	120	2	there	there	PRON
fcis-3754	120	3	are	be	VERB
fcis-3754	120	4	many	many	ADJ
fcis-3754	120	5	clustering	clustering	ADJ
fcis-3754	120	6	methods	method	NOUN
fcis-3754	120	7	which	which	PRON
fcis-3754	120	8	can	can	AUX
fcis-3754	120	9	deal	deal	VERB
fcis-3754	120	10	with	with	ADP
fcis-3754	120	11	a	a	DET
fcis-3754	120	12	small	small	ADJ
fcis-3754	120	13	amount	amount	NOUN
fcis-3754	120	14	of	of	ADP
fcis-3754	120	15	data	datum	NOUN
fcis-3754	120	16	and	and	CCONJ
fcis-3754	120	17	low	low	ADJ
fcis-3754	120	18	dimension	dimension	NOUN
fcis-3754	120	19	data	datum	NOUN
fcis-3754	120	20	.	.	PUNCT
fcis-3754	121	1	however	however	ADV
fcis-3754	121	2	,	,	PUNCT
fcis-3754	121	3	with	with	ADP
fcis-3754	121	4	the	the	DET
fcis-3754	121	5	arrival	arrival	NOUN
fcis-3754	121	6	of	of	ADP
fcis-3754	121	7	big	big	ADJ
fcis-3754	121	8	data	datum	NOUN
fcis-3754	121	9	and	and	CCONJ
fcis-3754	121	10	massive	massive	ADJ
fcis-3754	121	11	amounts	amount	NOUN
fcis-3754	121	12	of	of	ADP
fcis-3754	121	13	information	information	NOUN
fcis-3754	121	14	,	,	PUNCT
fcis-3754	121	15	it	it	PRON
fcis-3754	121	16	is	be	AUX
fcis-3754	121	17	a	a	DET
fcis-3754	121	18	large	large	ADJ
fcis-3754	121	19	and	and	CCONJ
fcis-3754	121	20	careful	careful	ADJ
fcis-3754	121	21	work	work	NOUN
fcis-3754	121	22	to	to	PART
fcis-3754	121	23	deal	deal	VERB
fcis-3754	121	24	with	with	ADP
fcis-3754	121	25	the	the	DET
fcis-3754	121	26	big	big	ADJ
fcis-3754	121	27	data	datum	NOUN
fcis-3754	121	28	and	and	CCONJ
fcis-3754	121	29	some	some	PRON
fcis-3754	121	30	of	of	ADP
fcis-3754	121	31	the	the	DET
fcis-3754	121	32	traditional	traditional	ADJ
fcis-3754	121	33	methods	method	NOUN
fcis-3754	121	34	are	be	AUX
fcis-3754	121	35	low	low	ADJ
fcis-3754	121	36	efficiency	efficiency	NOUN
fcis-3754	121	37	in	in	ADP
fcis-3754	121	38	this	this	DET
fcis-3754	121	39	case	case	NOUN
fcis-3754	121	40	.	.	PUNCT
fcis-3754	122	1	so	so	ADV
fcis-3754	122	2	that	that	SCONJ
fcis-3754	122	3	it	it	PRON
fcis-3754	122	4	is	be	AUX
fcis-3754	122	5	important	important	ADJ
fcis-3754	122	6	to	to	PART
fcis-3754	122	7	consider	consider	VERB
fcis-3754	122	8	the	the	DET
fcis-3754	122	9	time	time	NOUN
fcis-3754	122	10	cost	cost	NOUN
fcis-3754	122	11	of	of	ADP
fcis-3754	122	12	each	each	DET
fcis-3754	122	13	program	program	NOUN
fcis-3754	122	14	.	.	PUNCT
fcis-3754	123	1	it	it	PRON
fcis-3754	123	2	is	be	AUX
fcis-3754	123	3	worth	worth	ADJ
fcis-3754	123	4	mentioning	mention	VERB
fcis-3754	123	5	that	that	SCONJ
fcis-3754	123	6	some	some	PRON
fcis-3754	123	7	of	of	ADP
fcis-3754	123	8	the	the	DET
fcis-3754	123	9	clustering	clustering	ADJ
fcis-3754	123	10	methods	method	NOUN
fcis-3754	123	11	are	be	AUX
fcis-3754	123	12	theoretical	theoretical	ADJ
fcis-3754	123	13	and	and	CCONJ
fcis-3754	123	14	always	always	ADV
fcis-3754	123	15	under	under	ADP
fcis-3754	123	16	some	some	DET
fcis-3754	123	17	kind	kind	NOUN
fcis-3754	123	18	of	of	ADP
fcis-3754	123	19	hypothesis	hypothesis	NOUN
fcis-3754	123	20	such	such	ADJ
fcis-3754	123	21	as	as	ADP
fcis-3754	123	22	no	no	DET
fcis-3754	123	23	extreme	extreme	ADJ
fcis-3754	123	24	value	value	NOUN
fcis-3754	123	25	or	or	CCONJ
fcis-3754	123	26	the	the	DET
fcis-3754	123	27	clusters	cluster	NOUN
fcis-3754	123	28	can	can	AUX
fcis-3754	123	29	be	be	AUX
fcis-3754	123	30	separated	separate	VERB
fcis-3754	123	31	easily	easily	ADV
fcis-3754	123	32	.	.	PUNCT
fcis-3754	124	1	but	but	CCONJ
fcis-3754	124	2	the	the	DET
fcis-3754	124	3	data	datum	NOUN
fcis-3754	124	4	in	in	ADP
fcis-3754	124	5	reality	reality	NOUN
fcis-3754	124	6	is	be	AUX
fcis-3754	124	7	usually	usually	ADV
fcis-3754	124	8	complex	complex	ADJ
fcis-3754	124	9	enough	enough	ADV
fcis-3754	124	10	and	and	CCONJ
fcis-3754	124	11	has	have	VERB
fcis-3754	124	12	a	a	DET
fcis-3754	124	13	high	high	ADJ
fcis-3754	124	14	level	level	NOUN
fcis-3754	124	15	of	of	ADP
fcis-3754	124	16	noise	noise	NOUN
fcis-3754	124	17	.	.	PUNCT
fcis-3754	125	1	thus	thus	ADV
fcis-3754	125	2	,	,	PUNCT
fcis-3754	125	3	it	it	PRON
fcis-3754	125	4	is	be	AUX
fcis-3754	125	5	another	another	DET
fcis-3754	125	6	important	important	ADJ
fcis-3754	125	7	research	research	NOUN
fcis-3754	125	8	problem	problem	NOUN
fcis-3754	125	9	to	to	PART
fcis-3754	125	10	deal	deal	VERB
fcis-3754	125	11	with	with	ADP
fcis-3754	125	12	how	how	SCONJ
fcis-3754	125	13	to	to	PART
fcis-3754	125	14	eliminate	eliminate	VERB
fcis-3754	125	15	the	the	DET
fcis-3754	125	16	influence	influence	NOUN
fcis-3754	125	17	of	of	ADP
fcis-3754	125	18	noise	noise	NOUN
fcis-3754	125	19	.	.	PUNCT
fcis-3754	126	1	clustering	cluster	VERB
fcis-3754	126	2	method	method	NOUN
fcis-3754	126	3	on	on	ADP
fcis-3754	126	4	stock	stock	NOUN
fcis-3754	126	5	data	datum	NOUN
fcis-3754	126	6	is	be	AUX
fcis-3754	126	7	one	one	NUM
fcis-3754	126	8	of	of	ADP
fcis-3754	126	9	the	the	DET
fcis-3754	126	10	machine	machine	NOUN
fcis-3754	126	11	learning	learn	VERB
fcis-3754	126	12	methods	method	NOUN
fcis-3754	126	13	and	and	CCONJ
fcis-3754	126	14	it	it	PRON
fcis-3754	126	15	is	be	AUX
fcis-3754	126	16	one	one	NUM
fcis-3754	126	17	of	of	ADP
fcis-3754	126	18	the	the	DET
fcis-3754	126	19	most	most	ADV
fcis-3754	126	20	important	important	ADJ
fcis-3754	126	21	analysis	analysis	NOUN
fcis-3754	126	22	methods	method	NOUN
fcis-3754	126	23	of	of	ADP
fcis-3754	126	24	technical	technical	ADJ
fcis-3754	126	25	analysis	analysis	NOUN
fcis-3754	126	26	.	.	PUNCT
fcis-3754	127	1	one	one	NUM
fcis-3754	127	2	of	of	ADP
fcis-3754	127	3	the	the	DET
fcis-3754	127	4	research	research	NOUN
fcis-3754	127	5	issues	issue	NOUN
fcis-3754	127	6	is	be	AUX
fcis-3754	127	7	to	to	PART
fcis-3754	127	8	classify	classify	VERB
fcis-3754	127	9	the	the	DET
fcis-3754	127	10	different	different	ADJ
fcis-3754	127	11	patterns	pattern	NOUN
fcis-3754	127	12	of	of	ADP
fcis-3754	127	13	stock	stock	NOUN
fcis-3754	127	14	price	price	NOUN
fcis-3754	127	15	moving	moving	NOUN
fcis-3754	127	16	.	.	PUNCT
fcis-3754	128	1	in	in	ADP
fcis-3754	128	2	other	other	ADJ
fcis-3754	128	3	word	word	NOUN
fcis-3754	128	4	,	,	PUNCT
fcis-3754	128	5	there	there	PRON
fcis-3754	128	6	are	be	VERB
fcis-3754	128	7	several	several	ADJ
fcis-3754	128	8	different	different	ADJ
fcis-3754	128	9	patterns	pattern	NOUN
fcis-3754	128	10	such	such	ADJ
fcis-3754	128	11	as	as	ADP
fcis-3754	128	12	rising	rise	VERB
fcis-3754	128	13	or	or	CCONJ
fcis-3754	128	14	falling	fall	VERB
fcis-3754	128	15	and	and	CCONJ
fcis-3754	128	16	each	each	DET
fcis-3754	128	17	stock	stock	NOUN
fcis-3754	128	18	price	price	NOUN
fcis-3754	128	19	moving	moving	NOUN
fcis-3754	128	20	has	have	VERB
fcis-3754	128	21	a	a	DET
fcis-3754	128	22	pattern	pattern	NOUN
fcis-3754	128	23	.	.	PUNCT
fcis-3754	129	1	there	there	PRON
fcis-3754	129	2	are	be	VERB
fcis-3754	129	3	two	two	NUM
fcis-3754	129	4	main	main	ADJ
fcis-3754	129	5	sub	sub	NOUN
fcis-3754	129	6	problems	problem	NOUN
fcis-3754	129	7	.	.	PUNCT
fcis-3754	130	1	the	the	DET
fcis-3754	130	2	first	first	ADJ
fcis-3754	130	3	problem	problem	NOUN
fcis-3754	130	4	is	be	AUX
fcis-3754	130	5	that	that	SCONJ
fcis-3754	130	6	for	for	ADP
fcis-3754	130	7	each	each	DET
fcis-3754	130	8	clustering	clustering	NOUN
fcis-3754	130	9	method	method	NOUN
fcis-3754	130	10	,	,	PUNCT
fcis-3754	130	11	what	what	PRON
fcis-3754	130	12	the	the	DET
fcis-3754	130	13	best	good	ADJ
fcis-3754	130	14	number	number	NOUN
fcis-3754	130	15	of	of	ADP
fcis-3754	130	16	clusters	cluster	NOUN
fcis-3754	130	17	is	be	AUX
fcis-3754	130	18	.	.	PUNCT
fcis-3754	131	1	and	and	CCONJ
fcis-3754	131	2	the	the	DET
fcis-3754	131	3	second	second	ADJ
fcis-3754	131	4	problem	problem	NOUN
fcis-3754	131	5	is	be	AUX
fcis-3754	131	6	that	that	SCONJ
fcis-3754	131	7	,	,	PUNCT
fcis-3754	131	8	for	for	ADP
fcis-3754	131	9	each	each	DET
fcis-3754	131	10	stock	stock	NOUN
fcis-3754	131	11	,	,	PUNCT
fcis-3754	131	12	how	how	SCONJ
fcis-3754	131	13	to	to	PART
fcis-3754	131	14	assign	assign	VERB
fcis-3754	131	15	each	each	DET
fcis-3754	131	16	stock	stock	NOUN
fcis-3754	131	17	into	into	ADP
fcis-3754	131	18	different	different	ADJ
fcis-3754	131	19	clusters	cluster	NOUN
fcis-3754	131	20	.	.	PUNCT
fcis-3754	132	1	most	most	ADJ
fcis-3754	132	2	researchers	researcher	NOUN
fcis-3754	132	3	consider	consider	VERB
fcis-3754	132	4	stock	stock	NOUN
fcis-3754	132	5	price	price	NOUN
fcis-3754	132	6	moving	move	VERB
fcis-3754	132	7	analysis	analysis	NOUN
fcis-3754	132	8	as	as	ADP
fcis-3754	132	9	a	a	DET
fcis-3754	132	10	time	time	NOUN
fcis-3754	132	11	series	series	NOUN
fcis-3754	132	12	problem	problem	NOUN
fcis-3754	132	13	and	and	CCONJ
fcis-3754	132	14	there	there	PRON
fcis-3754	132	15	are	be	VERB
fcis-3754	132	16	many	many	ADJ
fcis-3754	132	17	related	related	ADJ
fcis-3754	132	18	works	work	NOUN
fcis-3754	132	19	,	,	PUNCT
fcis-3754	132	20	in	in	ADP
fcis-3754	132	21	which	which	PRON
fcis-3754	132	22	clustering	clustering	NOUN
fcis-3754	132	23	is	be	AUX
fcis-3754	132	24	considered	consider	VERB
fcis-3754	132	25	(	(	PUNCT
fcis-3754	132	26	by	by	ADP
fcis-3754	132	27	nanda	nanda	NOUN
fcis-3754	132	28	,	,	PUNCT
fcis-3754	132	29	s.	s.	PROPN
fcis-3754	132	30	,	,	PUNCT
fcis-3754	132	31	mahanty	mahanty	PROPN
fcis-3754	132	32	,	,	PUNCT
fcis-3754	132	33	b.	b.	PROPN
fcis-3754	132	34	and	and	CCONJ
fcis-3754	132	35	tiwari	tiwari	PROPN
fcis-3754	132	36	,	,	PUNCT
fcis-3754	132	37	m.	m.	NOUN
fcis-3754	132	38	2010	2010	NUM
fcis-3754	132	39	)	)	PUNCT
fcis-3754	132	40	as	as	ADP
fcis-3754	132	41	a	a	DET
fcis-3754	132	42	good	good	ADJ
fcis-3754	132	43	general	general	ADJ
fcis-3754	132	44	method	method	NOUN
fcis-3754	132	45	for	for	ADP
fcis-3754	132	46	analysis	analysis	NOUN
fcis-3754	132	47	of	of	ADP
fcis-3754	132	48	stock	stock	NOUN
fcis-3754	132	49	price	price	NOUN
fcis-3754	132	50	moving	move	VERB
fcis-3754	132	51	that	that	SCONJ
fcis-3754	132	52	clustering	clustering	ADJ
fcis-3754	132	53	methods	method	NOUN
fcis-3754	132	54	classify	classify	VERB
fcis-3754	132	55	a	a	DET
fcis-3754	132	56	data	data	NOUN
fcis-3754	132	57	matrix	matrix	NOUN
fcis-3754	132	58	into	into	ADP
fcis-3754	132	59	several	several	ADJ
fcis-3754	132	60	different	different	ADJ
fcis-3754	132	61	classifications	classification	NOUN
fcis-3754	132	62	,	,	PUNCT
fcis-3754	132	63	in	in	ADP
fcis-3754	132	64	which	which	PRON
fcis-3754	132	65	data	datum	NOUN
fcis-3754	132	66	points	point	NOUN
fcis-3754	132	67	belonging	belong	VERB
fcis-3754	132	68	to	to	ADP
fcis-3754	132	69	one	one	NUM
fcis-3754	132	70	classification	classification	NOUN
fcis-3754	132	71	are	be	AUX
fcis-3754	132	72	similar	similar	ADJ
fcis-3754	132	73	to	to	ADP
fcis-3754	132	74	each	each	DET
fcis-3754	132	75	other	other	ADJ
fcis-3754	132	76	and	and	CCONJ
fcis-3754	132	77	not	not	PART
fcis-3754	132	78	similar	similar	ADJ
fcis-3754	132	79	to	to	ADP
fcis-3754	132	80	those	those	DET
fcis-3754	132	81	data	datum	NOUN
fcis-3754	132	82	points	point	NOUN
fcis-3754	132	83	belonging	belong	VERB
fcis-3754	132	84	to	to	ADP
fcis-3754	132	85	other	other	ADJ
fcis-3754	132	86	classifications	classification	NOUN
fcis-3754	132	87	[	[	X
fcis-3754	132	88	27	27	NUM
fcis-3754	132	89	]	]	PUNCT
fcis-3754	132	90	.	.	PUNCT
fcis-3754	133	1	clustering	cluster	VERB
fcis-3754	133	2	,	,	PUNCT
fcis-3754	133	3	as	as	SCONJ
fcis-3754	133	4	defined	define	VERB
fcis-3754	133	5	by	by	ADP
fcis-3754	133	6	mirkin	mirkin	PROPN
fcis-3754	133	7	b	b	PROPN
fcis-3754	133	8	in	in	ADP
fcis-3754	133	9	1996	1996	NUM
fcis-3754	133	10	,	,	PUNCT
fcis-3754	133	11	is	be	AUX
fcis-3754	133	12	a	a	DET
fcis-3754	133	13	mathematical	mathematical	ADJ
fcis-3754	133	14	technique	technique	NOUN
fcis-3754	133	15	which	which	PRON
fcis-3754	133	16	is	be	AUX
fcis-3754	133	17	designed	design	VERB
fcis-3754	133	18	for	for	ADP
fcis-3754	133	19	the	the	DET
fcis-3754	133	20	purpose	purpose	NOUN
fcis-3754	133	21	of	of	ADP
fcis-3754	133	22	finding	find	VERB
fcis-3754	133	23	a	a	DET
fcis-3754	133	24	scientific	scientific	ADJ
fcis-3754	133	25	way	way	NOUN
fcis-3754	133	26	to	to	PART
fcis-3754	133	27	reveal	reveal	VERB
fcis-3754	133	28	the	the	DET
fcis-3754	133	29	potential	potential	ADJ
fcis-3754	133	30	classification	classification	NOUN
fcis-3754	133	31	structure	structure	NOUN
fcis-3754	133	32	for	for	ADP
fcis-3754	133	33	the	the	DET
fcis-3754	133	34	data	datum	NOUN
fcis-3754	133	35	which	which	PRON
fcis-3754	133	36	is	be	AUX
fcis-3754	133	37	collected	collect	VERB
fcis-3754	133	38	or	or	CCONJ
fcis-3754	133	39	created	create	VERB
fcis-3754	133	40	from	from	ADP
fcis-3754	133	41	the	the	DET
fcis-3754	133	42	real	real	ADJ
fcis-3754	133	43	-	-	PUNCT
fcis-3754	133	44	world	world	NOUN
fcis-3754	133	45	phenomena	phenomenon	NOUN
fcis-3754	133	46	[	[	X
fcis-3754	133	47	28	28	NUM
fcis-3754	133	48	]	]	PUNCT
fcis-3754	133	49	.	.	PUNCT
fcis-3754	134	1	there	there	PRON
fcis-3754	134	2	is	be	VERB
fcis-3754	134	3	quite	quite	DET
fcis-3754	134	4	a	a	DET
fcis-3754	134	5	number	number	NOUN
fcis-3754	134	6	of	of	ADP
fcis-3754	134	7	researches	research	NOUN
fcis-3754	134	8	showing	show	VERB
fcis-3754	134	9	using	use	VERB
fcis-3754	134	10	clustering	clustering	NOUN
fcis-3754	134	11	to	to	PART
fcis-3754	134	12	deal	deal	VERB
fcis-3754	134	13	with	with	ADP
fcis-3754	134	14	stock	stock	NOUN
fcis-3754	134	15	market	market	NOUN
fcis-3754	134	16	is	be	AUX
fcis-3754	134	17	a	a	DET
fcis-3754	134	18	good	good	ADJ
fcis-3754	134	19	choice	choice	NOUN
fcis-3754	134	20	and	and	CCONJ
fcis-3754	134	21	there	there	PRON
fcis-3754	134	22	are	be	VERB
fcis-3754	134	23	several	several	ADJ
fcis-3754	134	24	different	different	ADJ
fcis-3754	134	25	well	well	ADV
fcis-3754	134	26	-	-	PUNCT
fcis-3754	134	27	known	know	VERB
fcis-3754	134	28	clustering	clustering	ADJ
fcis-3754	134	29	algorithms	algorithm	NOUN
fcis-3754	134	30	,	,	PUNCT
fcis-3754	134	31	such	such	ADJ
fcis-3754	134	32	as	as	ADP
fcis-3754	134	33	k	k	NOUN
fcis-3754	134	34	-	-	PUNCT
fcis-3754	134	35	means	means	PROPN
fcis-3754	134	36	,	,	PUNCT
fcis-3754	134	37	em	em	PRON
fcis-3754	134	38	,	,	PUNCT
fcis-3754	134	39	hierarchical	hierarchical	ADJ
fcis-3754	134	40	,	,	PUNCT
fcis-3754	134	41	canopy	canopy	NOUN
fcis-3754	134	42	,	,	PUNCT
fcis-3754	134	43	cobweb	cobweb	ADJ
fcis-3754	134	44	,	,	PUNCT
fcis-3754	134	45	farthest	farthest	ADV
fcis-3754	134	46	first	first	ADJ
fcis-3754	134	47	,	,	PUNCT
fcis-3754	134	48	filtered	filter	VERB
fcis-3754	134	49	,	,	PUNCT
fcis-3754	134	50	make	make	VERB
fcis-3754	134	51	density	density	NOUN
fcis-3754	134	52	based	base	VERB
fcis-3754	134	53	clustering	clustering	ADJ
fcis-3754	134	54	methods	method	NOUN
fcis-3754	134	55	.	.	PUNCT
fcis-3754	135	1	2.3.1	2.3.1	NUM
fcis-3754	135	2	.	.	PUNCT
fcis-3754	136	1	k	k	X
fcis-3754	136	2	–	–	PUNCT
fcis-3754	136	3	means	mean	VERB
fcis-3754	136	4	clustering	cluster	VERB
fcis-3754	136	5	algorithm	algorithm	NOUN
fcis-3754	136	6	the	the	DET
fcis-3754	136	7	main	main	ADJ
fcis-3754	136	8	research	research	NOUN
fcis-3754	136	9	problems	problem	NOUN
fcis-3754	136	10	of	of	ADP
fcis-3754	136	11	k	k	NOUN
fcis-3754	136	12	-	-	PUNCT
fcis-3754	136	13	means	means	NOUN
fcis-3754	136	14	algorithm	algorithm	NOUN
fcis-3754	136	15	is	be	AUX
fcis-3754	136	16	shown	show	VERB
fcis-3754	136	17	in	in	ADP
fcis-3754	136	18	the	the	DET
fcis-3754	136	19	figure	figure	NOUN
fcis-3754	136	20	2	2	NUM
fcis-3754	136	21	below	below	ADV
fcis-3754	136	22	.	.	PUNCT
fcis-3754	137	1	clustering	cluster	VERB
fcis-3754	137	2	method	method	NOUN
fcis-3754	137	3	such	such	ADJ
fcis-3754	137	4	as	as	ADP
fcis-3754	137	5	k	k	NOUN
fcis-3754	137	6	-	-	PUNCT
fcis-3754	137	7	means	means	NOUN
fcis-3754	137	8	can	can	AUX
fcis-3754	137	9	be	be	AUX
fcis-3754	137	10	used	use	VERB
fcis-3754	137	11	to	to	PART
fcis-3754	137	12	set	set	VERB
fcis-3754	137	13	k	k	PROPN
fcis-3754	137	14	different	different	ADJ
fcis-3754	137	15	patterns	pattern	NOUN
fcis-3754	137	16	from	from	ADP
fcis-3754	137	17	n	n	PRON
fcis-3754	137	18	stock	stock	NOUN
fcis-3754	137	19	price	price	NOUN
fcis-3754	137	20	movings	moving	NOUN
fcis-3754	137	21	and	and	CCONJ
fcis-3754	137	22	classify	classify	VERB
fcis-3754	137	23	each	each	DET
fcis-3754	137	24	stock	stock	NOUN
fcis-3754	137	25	into	into	ADP
fcis-3754	137	26	a	a	DET
fcis-3754	137	27	pattern	pattern	NOUN
fcis-3754	137	28	which	which	PRON
fcis-3754	137	29	belongs	belong	VERB
fcis-3754	137	30	to	to	ADP
fcis-3754	137	31	the	the	DET
fcis-3754	137	32	k	k	PROPN
fcis-3754	137	33	different	different	ADJ
fcis-3754	137	34	patterns	pattern	NOUN
fcis-3754	137	35	.	.	PUNCT
fcis-3754	138	1	figure	figure	NOUN
fcis-3754	138	2	2	2	NUM
fcis-3754	138	3	.	.	PUNCT
fcis-3754	138	4	main	main	ADJ
fcis-3754	138	5	research	research	NOUN
fcis-3754	138	6	problems	problem	NOUN
fcis-3754	138	7	of	of	ADP
fcis-3754	138	8	k	k	NOUN
fcis-3754	138	9	-	-	PUNCT
fcis-3754	138	10	means	mean	VERB
fcis-3754	138	11	algorithm	algorithm	NOUN
fcis-3754	138	12	k	k	NOUN
fcis-3754	138	13	-	-	PUNCT
fcis-3754	138	14	means	means	NOUN
fcis-3754	138	15	algorithm	algorithm	NOUN
fcis-3754	138	16	is	be	AUX
fcis-3754	138	17	considered	consider	VERB
fcis-3754	138	18	as	as	ADP
fcis-3754	138	19	one	one	NUM
fcis-3754	138	20	of	of	ADP
fcis-3754	138	21	the	the	DET
fcis-3754	138	22	best	good	ADJ
fcis-3754	138	23	basic	basic	ADJ
fcis-3754	138	24	clustering	clustering	ADJ
fcis-3754	138	25	methods	method	NOUN
fcis-3754	138	26	and	and	CCONJ
fcis-3754	138	27	in	in	ADP
fcis-3754	138	28	addition	addition	NOUN
fcis-3754	138	29	,	,	PUNCT
fcis-3754	138	30	it	it	PRON
fcis-3754	138	31	has	have	AUX
fcis-3754	138	32	been	be	AUX
fcis-3754	138	33	discussed	discuss	VERB
fcis-3754	138	34	in	in	ADP
fcis-3754	138	35	several	several	ADJ
fcis-3754	138	36	studies	study	NOUN
fcis-3754	138	37	.	.	PUNCT
fcis-3754	139	1	the	the	DET
fcis-3754	139	2	number	number	NOUN
fcis-3754	139	3	of	of	ADP
fcis-3754	139	4	clusters	cluster	NOUN
fcis-3754	139	5	can	can	AUX
fcis-3754	139	6	be	be	AUX
fcis-3754	139	7	specified	specify	VERB
fcis-3754	139	8	by	by	ADP
fcis-3754	139	9	apriori	apriori	ADJ
fcis-3754	139	10	algorithm	algorithm	NOUN
fcis-3754	139	11	or	or	CCONJ
fcis-3754	139	12	other	other	ADJ
fcis-3754	139	13	clustering	clustering	ADJ
fcis-3754	139	14	methods	method	NOUN
fcis-3754	139	15	or	or	CCONJ
fcis-3754	139	16	in	in	ADP
fcis-3754	139	17	another	another	DET
fcis-3754	139	18	35	35	NUM
fcis-3754	139	19	way	way	NOUN
fcis-3754	139	20	,	,	PUNCT
fcis-3754	139	21	specified	specify	VERB
fcis-3754	139	22	by	by	ADP
fcis-3754	139	23	evaluation	evaluation	NOUN
fcis-3754	139	24	indexes	index	NOUN
fcis-3754	139	25	.	.	PUNCT
fcis-3754	140	1	in	in	ADP
fcis-3754	140	2	2016	2016	NUM
fcis-3754	140	3	,	,	PUNCT
fcis-3754	140	4	sarma	sarma	PROPN
fcis-3754	140	5	h	h	PROPN
fcis-3754	140	6	k	k	PROPN
fcis-3754	140	7	d	d	PROPN
fcis-3754	140	8	,	,	PUNCT
fcis-3754	140	9	mishra	mishra	PROPN
fcis-3754	140	10	s	s	AUX
fcis-3754	140	11	have	have	AUX
fcis-3754	140	12	put	put	VERB
fcis-3754	140	13	forward	forward	ADV
fcis-3754	140	14	their	their	PRON
fcis-3754	140	15	improvement	improvement	NOUN
fcis-3754	140	16	on	on	ADP
fcis-3754	140	17	the	the	DET
fcis-3754	140	18	research	research	NOUN
fcis-3754	140	19	that	that	PRON
fcis-3754	140	20	to	to	PART
fcis-3754	140	21	use	use	VERB
fcis-3754	140	22	apriori	apriori	ADJ
fcis-3754	140	23	algorithm	algorithm	NOUN
fcis-3754	140	24	to	to	PART
fcis-3754	140	25	specify	specify	VERB
fcis-3754	140	26	the	the	DET
fcis-3754	140	27	best	good	ADJ
fcis-3754	140	28	number	number	NOUN
fcis-3754	140	29	of	of	ADP
fcis-3754	140	30	clusters	cluster	NOUN
fcis-3754	140	31	on	on	ADP
fcis-3754	140	32	the	the	DET
fcis-3754	140	33	time	time	NOUN
fcis-3754	140	34	series	series	PROPN
fcis-3754	140	35	data	data	PROPN
fcis-3754	140	36	[	[	X
fcis-3754	140	37	29	29	NUM
fcis-3754	140	38	]	]	PUNCT
fcis-3754	140	39	.	.	PUNCT
fcis-3754	141	1	on	on	ADP
fcis-3754	141	2	the	the	DET
fcis-3754	141	3	one	one	NUM
fcis-3754	141	4	hand	hand	NOUN
fcis-3754	141	5	,	,	PUNCT
fcis-3754	141	6	cardoso	cardoso	PROPN
fcis-3754	141	7	m	m	PROPN
fcis-3754	141	8	g	g	PROPN
fcis-3754	141	9	m	m	PROPN
fcis-3754	141	10	s	s	PROPN
fcis-3754	141	11	,	,	PUNCT
fcis-3754	141	12	de	de	X
fcis-3754	141	13	carvalho	carvalho	NOUN
fcis-3754	141	14	a	a	DET
fcis-3754	141	15	p	p	NOUN
fcis-3754	141	16	l	l	NOUN
fcis-3754	141	17	have	have	AUX
fcis-3754	141	18	made	make	VERB
fcis-3754	141	19	their	their	PRON
fcis-3754	141	20	evaluation	evaluation	NOUN
fcis-3754	141	21	on	on	ADP
fcis-3754	141	22	the	the	DET
fcis-3754	141	23	quality	quality	NOUN
fcis-3754	141	24	indexes	index	NOUN
fcis-3754	141	25	which	which	PRON
fcis-3754	141	26	are	be	AUX
fcis-3754	141	27	used	use	VERB
fcis-3754	141	28	to	to	PART
fcis-3754	141	29	make	make	VERB
fcis-3754	141	30	comparison	comparison	NOUN
fcis-3754	141	31	on	on	ADP
fcis-3754	141	32	the	the	DET
fcis-3754	141	33	performance	performance	NOUN
fcis-3754	141	34	of	of	ADP
fcis-3754	141	35	different	different	ADJ
fcis-3754	141	36	clustering	clustering	ADJ
fcis-3754	141	37	algorithms	algorithm	NOUN
fcis-3754	141	38	in	in	ADP
fcis-3754	141	39	2009	2009	NUM
fcis-3754	141	40	and	and	CCONJ
fcis-3754	141	41	they	they	PRON
fcis-3754	141	42	draw	draw	VERB
fcis-3754	141	43	the	the	DET
fcis-3754	141	44	conclusion	conclusion	NOUN
fcis-3754	141	45	that	that	SCONJ
fcis-3754	141	46	k	k	NOUN
fcis-3754	141	47	-	-	PUNCT
fcis-3754	141	48	means	means	NOUN
fcis-3754	141	49	algorithm	algorithm	NOUN
fcis-3754	141	50	is	be	AUX
fcis-3754	141	51	a	a	DET
fcis-3754	141	52	general	general	ADJ
fcis-3754	141	53	and	and	CCONJ
fcis-3754	141	54	efficient	efficient	ADJ
fcis-3754	141	55	algorithm	algorithm	NOUN
fcis-3754	141	56	in	in	ADP
fcis-3754	141	57	many	many	ADJ
fcis-3754	141	58	cases	case	NOUN
fcis-3754	141	59	and	and	CCONJ
fcis-3754	141	60	some	some	PRON
fcis-3754	141	61	of	of	ADP
fcis-3754	141	62	the	the	DET
fcis-3754	141	63	evaluation	evaluation	NOUN
fcis-3754	141	64	indexes	index	NOUN
fcis-3754	141	65	can	can	AUX
fcis-3754	141	66	be	be	AUX
fcis-3754	141	67	used	use	VERB
fcis-3754	141	68	to	to	PART
fcis-3754	141	69	specify	specify	VERB
fcis-3754	141	70	the	the	DET
fcis-3754	141	71	best	good	ADJ
fcis-3754	141	72	number	number	NOUN
fcis-3754	141	73	of	of	ADP
fcis-3754	141	74	clusters	cluster	NOUN
fcis-3754	141	75	on	on	ADP
fcis-3754	141	76	the	the	DET
fcis-3754	141	77	stock	stock	NOUN
fcis-3754	141	78	price	price	NOUN
fcis-3754	141	79	moving	move	VERB
fcis-3754	141	80	data	datum	NOUN
fcis-3754	141	81	[	[	X
fcis-3754	141	82	30	30	NUM
fcis-3754	141	83	]	]	PUNCT
fcis-3754	141	84	.	.	PUNCT
fcis-3754	142	1	on	on	ADP
fcis-3754	142	2	the	the	DET
fcis-3754	142	3	other	other	ADJ
fcis-3754	142	4	hand	hand	NOUN
fcis-3754	142	5	,	,	PUNCT
fcis-3754	142	6	in	in	ADP
fcis-3754	142	7	2015	2015	NUM
fcis-3754	142	8	,	,	PUNCT
fcis-3754	142	9	amorim	amorim	PROPN
fcis-3754	142	10	m	m	PROPN
fcis-3754	142	11	j	j	PROPN
fcis-3754	142	12	and	and	CCONJ
fcis-3754	142	13	cardoso	cardoso	PROPN
fcis-3754	142	14	m	m	PROPN
fcis-3754	142	15	g	g	PROPN
fcis-3754	142	16	m	m	PROPN
fcis-3754	142	17	s	s	AUX
fcis-3754	142	18	made	make	VERB
fcis-3754	142	19	their	their	PRON
fcis-3754	142	20	research	research	NOUN
fcis-3754	142	21	on	on	ADP
fcis-3754	142	22	different	different	ADJ
fcis-3754	142	23	adjusted	adjust	VERB
fcis-3754	142	24	paired	pair	VERB
fcis-3754	142	25	indexes	index	NOUN
fcis-3754	142	26	and	and	CCONJ
fcis-3754	142	27	used	use	VERB
fcis-3754	142	28	them	they	PRON
fcis-3754	142	29	to	to	PART
fcis-3754	142	30	compare	compare	VERB
fcis-3754	142	31	the	the	DET
fcis-3754	142	32	performance	performance	NOUN
fcis-3754	142	33	on	on	ADP
fcis-3754	142	34	different	different	ADJ
fcis-3754	142	35	clustering	clustering	NOUN
fcis-3754	142	36	results	result	NOUN
fcis-3754	142	37	[	[	X
fcis-3754	142	38	31	31	NUM
fcis-3754	142	39	]	]	PUNCT
fcis-3754	142	40	and	and	CCONJ
fcis-3754	142	41	after	after	ADP
fcis-3754	142	42	comparison	comparison	NOUN
fcis-3754	142	43	,	,	PUNCT
fcis-3754	142	44	they	they	PRON
fcis-3754	142	45	have	have	AUX
fcis-3754	142	46	also	also	ADV
fcis-3754	142	47	concluded	conclude	VERB
fcis-3754	142	48	that	that	SCONJ
fcis-3754	142	49	k	k	NOUN
fcis-3754	142	50	-	-	PUNCT
fcis-3754	142	51	means	means	NOUN
fcis-3754	142	52	is	be	AUX
fcis-3754	142	53	efficient	efficient	ADJ
fcis-3754	142	54	in	in	ADP
fcis-3754	142	55	many	many	ADJ
fcis-3754	142	56	cases	case	NOUN
fcis-3754	142	57	and	and	CCONJ
fcis-3754	142	58	some	some	PRON
fcis-3754	142	59	of	of	ADP
fcis-3754	142	60	the	the	DET
fcis-3754	142	61	evaluation	evaluation	NOUN
fcis-3754	142	62	indexes	index	NOUN
fcis-3754	142	63	can	can	AUX
fcis-3754	142	64	be	be	AUX
fcis-3754	142	65	used	use	VERB
fcis-3754	142	66	to	to	PART
fcis-3754	142	67	specify	specify	VERB
fcis-3754	142	68	the	the	DET
fcis-3754	142	69	best	good	ADJ
fcis-3754	142	70	number	number	NOUN
fcis-3754	142	71	of	of	ADP
fcis-3754	142	72	clusters	cluster	NOUN
fcis-3754	142	73	on	on	ADP
fcis-3754	142	74	the	the	DET
fcis-3754	142	75	stock	stock	NOUN
fcis-3754	142	76	price	price	NOUN
fcis-3754	142	77	moving	move	VERB
fcis-3754	142	78	data	datum	NOUN
fcis-3754	142	79	.	.	PUNCT
fcis-3754	143	1	for	for	ADP
fcis-3754	143	2	assigning	assign	VERB
fcis-3754	143	3	each	each	DET
fcis-3754	143	4	data	data	NOUN
fcis-3754	143	5	point	point	NOUN
fcis-3754	143	6	into	into	ADP
fcis-3754	143	7	different	different	ADJ
fcis-3754	143	8	clusters	cluster	NOUN
fcis-3754	143	9	,	,	PUNCT
fcis-3754	143	10	k	k	ADJ
fcis-3754	143	11	-	-	PUNCT
fcis-3754	143	12	means	means	NOUN
fcis-3754	143	13	algorithm	algorithm	NOUN
fcis-3754	143	14	can	can	AUX
fcis-3754	143	15	be	be	AUX
fcis-3754	143	16	used	use	VERB
fcis-3754	143	17	to	to	PART
fcis-3754	143	18	implement	implement	VERB
fcis-3754	143	19	both	both	PRON
fcis-3754	143	20	of	of	ADP
fcis-3754	143	21	the	the	DET
fcis-3754	143	22	euclidean	euclidean	ADJ
fcis-3754	143	23	distance	distance	NOUN
fcis-3754	143	24	and	and	CCONJ
fcis-3754	143	25	the	the	DET
fcis-3754	143	26	manhattan	manhattan	PROPN
fcis-3754	143	27	distance	distance	NOUN
fcis-3754	143	28	in	in	ADP
fcis-3754	143	29	order	order	NOUN
fcis-3754	143	30	to	to	PART
fcis-3754	143	31	calculate	calculate	VERB
fcis-3754	143	32	the	the	DET
fcis-3754	143	33	distance	distance	NOUN
fcis-3754	143	34	between	between	ADP
fcis-3754	143	35	each	each	DET
fcis-3754	143	36	data	data	NOUN
fcis-3754	143	37	point	point	NOUN
fcis-3754	143	38	and	and	CCONJ
fcis-3754	143	39	the	the	DET
fcis-3754	143	40	center	center	NOUN
fcis-3754	143	41	of	of	ADP
fcis-3754	143	42	each	each	DET
fcis-3754	143	43	cluster	cluster	NOUN
fcis-3754	143	44	.	.	PUNCT
fcis-3754	144	1	in	in	ADP
fcis-3754	144	2	2014	2014	NUM
fcis-3754	144	3	,	,	PUNCT
fcis-3754	144	4	li	li	PROPN
fcis-3754	144	5	l	l	PROPN
fcis-3754	144	6	,	,	PUNCT
fcis-3754	144	7	he	he	PRON
fcis-3754	144	8	j	j	PROPN
fcis-3754	144	9	and	and	CCONJ
fcis-3754	144	10	sui	sui	PROPN
fcis-3754	144	11	x	x	AUX
fcis-3754	144	12	have	have	AUX
fcis-3754	144	13	discussed	discuss	VERB
fcis-3754	144	14	their	their	PRON
fcis-3754	144	15	conclusion	conclusion	NOUN
fcis-3754	144	16	that	that	SCONJ
fcis-3754	144	17	the	the	DET
fcis-3754	144	18	euclidean	euclidean	ADJ
fcis-3754	144	19	distance	distance	NOUN
fcis-3754	144	20	is	be	AUX
fcis-3754	144	21	useful	useful	ADJ
fcis-3754	144	22	in	in	ADP
fcis-3754	144	23	establishing	establish	VERB
fcis-3754	144	24	analysis	analysis	NOUN
fcis-3754	144	25	model	model	NOUN
fcis-3754	144	26	on	on	ADP
fcis-3754	144	27	stock	stock	NOUN
fcis-3754	144	28	price	price	NOUN
fcis-3754	144	29	moving	move	VERB
fcis-3754	144	30	data	datum	NOUN
fcis-3754	144	31	[	[	X
fcis-3754	144	32	32	32	NUM
fcis-3754	144	33	]	]	PUNCT
fcis-3754	144	34	.	.	PUNCT
fcis-3754	145	1	and	and	CCONJ
fcis-3754	145	2	in	in	ADP
fcis-3754	145	3	2016	2016	NUM
fcis-3754	145	4	,	,	PUNCT
fcis-3754	145	5	kapil	kapil	PROPN
fcis-3754	145	6	s	s	PROPN
fcis-3754	145	7	and	and	CCONJ
fcis-3754	145	8	chawla	chawla	PROPN
fcis-3754	145	9	m	m	PROPN
fcis-3754	145	10	have	have	AUX
fcis-3754	145	11	discussed	discuss	VERB
fcis-3754	145	12	several	several	ADJ
fcis-3754	145	13	different	different	ADJ
fcis-3754	145	14	distance	distance	NOUN
fcis-3754	145	15	metrics	metric	NOUN
fcis-3754	145	16	which	which	PRON
fcis-3754	145	17	are	be	AUX
fcis-3754	145	18	used	use	VERB
fcis-3754	145	19	to	to	PART
fcis-3754	145	20	make	make	VERB
fcis-3754	145	21	performance	performance	NOUN
fcis-3754	145	22	evaluation	evaluation	NOUN
fcis-3754	145	23	on	on	ADP
fcis-3754	145	24	the	the	DET
fcis-3754	145	25	clustering	cluster	VERB
fcis-3754	145	26	methods	method	NOUN
fcis-3754	145	27	such	such	ADJ
fcis-3754	145	28	as	as	ADP
fcis-3754	145	29	the	the	DET
fcis-3754	145	30	most	most	ADV
fcis-3754	145	31	famous	famous	ADJ
fcis-3754	145	32	clustering	clustering	NOUN
fcis-3754	145	33	algorithm	algorithm	NOUN
fcis-3754	145	34	,	,	PUNCT
fcis-3754	145	35	like	like	ADP
fcis-3754	145	36	k	k	ADJ
fcis-3754	145	37	-	-	PUNCT
fcis-3754	145	38	means	mean	VERB
fcis-3754	145	39	algorithm	algorithm	NOUN
fcis-3754	145	40	in	in	ADP
fcis-3754	145	41	detail	detail	NOUN
fcis-3754	145	42	[	[	X
fcis-3754	145	43	33	33	NUM
fcis-3754	145	44	]	]	PUNCT
fcis-3754	145	45	.	.	PUNCT
fcis-3754	146	1	the	the	DET
fcis-3754	146	2	basic	basic	ADJ
fcis-3754	146	3	k	k	NOUN
fcis-3754	146	4	-	-	PUNCT
fcis-3754	146	5	means	means	NOUN
fcis-3754	146	6	algorithm	algorithm	NOUN
fcis-3754	146	7	uses	use	VERB
fcis-3754	146	8	seed	seed	NOUN
fcis-3754	146	9	to	to	PART
fcis-3754	146	10	calculate	calculate	VERB
fcis-3754	146	11	the	the	DET
fcis-3754	146	12	initial	initial	ADJ
fcis-3754	146	13	clusters	cluster	NOUN
fcis-3754	146	14	and	and	CCONJ
fcis-3754	146	15	the	the	DET
fcis-3754	146	16	number	number	NOUN
fcis-3754	146	17	of	of	ADP
fcis-3754	146	18	initial	initial	ADJ
fcis-3754	146	19	clusters	cluster	NOUN
fcis-3754	146	20	as	as	SCONJ
fcis-3754	146	21	it	it	PRON
fcis-3754	146	22	has	have	AUX
fcis-3754	146	23	been	be	AUX
fcis-3754	146	24	discussed	discuss	VERB
fcis-3754	146	25	by	by	ADP
fcis-3754	146	26	arthur	arthur	PROPN
fcis-3754	146	27	d	d	PROPN
fcis-3754	146	28	,	,	PUNCT
fcis-3754	146	29	vassilvitskii	vassilvitskii	NOUN
fcis-3754	146	30	s	s	X
fcis-3754	146	31	in	in	ADP
fcis-3754	146	32	2007	2007	NUM
fcis-3754	147	1	[	[	X
fcis-3754	147	2	34	34	NUM
fcis-3754	147	3	]	]	PUNCT
fcis-3754	147	4	.	.	PUNCT
fcis-3754	148	1	zhu	zhu	PROPN
fcis-3754	148	2	z	z	PROPN
fcis-3754	148	3	has	have	AUX
fcis-3754	148	4	implemented	implement	VERB
fcis-3754	148	5	improved	improve	VERB
fcis-3754	148	6	k	k	PROPN
fcis-3754	148	7	-	-	PUNCT
fcis-3754	148	8	means	means	NOUN
fcis-3754	148	9	algorithm	algorithm	NOUN
fcis-3754	148	10	which	which	PRON
fcis-3754	148	11	is	be	AUX
fcis-3754	148	12	based	base	VERB
fcis-3754	148	13	on	on	ADP
fcis-3754	148	14	the	the	DET
fcis-3754	148	15	combination	combination	NOUN
fcis-3754	148	16	of	of	ADP
fcis-3754	148	17	independent	independent	ADJ
fcis-3754	148	18	component	component	NOUN
fcis-3754	148	19	analysis	analysis	NOUN
fcis-3754	148	20	in	in	ADP
fcis-3754	148	21	analyzing	analyze	VERB
fcis-3754	148	22	stock	stock	NOUN
fcis-3754	148	23	market	market	NOUN
fcis-3754	148	24	data	datum	NOUN
fcis-3754	148	25	in	in	ADP
fcis-3754	148	26	2016	2016	NUM
fcis-3754	148	27	[	[	X
fcis-3754	148	28	35	35	NUM
fcis-3754	148	29	]	]	PUNCT
fcis-3754	148	30	.	.	PUNCT
fcis-3754	149	1	some	some	PRON
fcis-3754	149	2	of	of	ADP
fcis-3754	149	3	the	the	DET
fcis-3754	149	4	improved	improved	ADJ
fcis-3754	149	5	k	k	NOUN
fcis-3754	149	6	-	-	PUNCT
fcis-3754	149	7	means	means	NOUN
fcis-3754	149	8	algorithm	algorithm	NOUN
fcis-3754	149	9	use	use	VERB
fcis-3754	149	10	other	other	ADJ
fcis-3754	149	11	clustering	clustering	NOUN
fcis-3754	149	12	method	method	NOUN
fcis-3754	149	13	to	to	PART
fcis-3754	149	14	calculate	calculate	VERB
fcis-3754	149	15	the	the	DET
fcis-3754	149	16	initial	initial	ADJ
fcis-3754	149	17	clusters	cluster	NOUN
fcis-3754	149	18	.	.	PUNCT
fcis-3754	150	1	in	in	ADP
fcis-3754	150	2	2017	2017	NUM
fcis-3754	150	3	,	,	PUNCT
fcis-3754	150	4	kumar	kumar	PROPN
fcis-3754	150	5	k	k	PROPN
fcis-3754	150	6	m	m	PROPN
fcis-3754	150	7	and	and	CCONJ
fcis-3754	150	8	reddy	reddy	PROPN
fcis-3754	150	9	a	a	DET
fcis-3754	150	10	r	r	NOUN
fcis-3754	150	11	m	m	AUX
fcis-3754	150	12	have	have	AUX
fcis-3754	150	13	improved	improve	VERB
fcis-3754	150	14	the	the	DET
fcis-3754	150	15	k	k	NOUN
fcis-3754	150	16	-	-	PUNCT
fcis-3754	150	17	means	means	NOUN
fcis-3754	150	18	algorithm	algorithm	NOUN
fcis-3754	150	19	by	by	ADP
fcis-3754	150	20	implementing	implement	VERB
fcis-3754	150	21	density	density	NOUN
fcis-3754	150	22	based	base	VERB
fcis-3754	150	23	clustering	cluster	VERB
fcis-3754	150	24	to	to	PART
fcis-3754	150	25	calculate	calculate	VERB
fcis-3754	150	26	the	the	DET
fcis-3754	150	27	initial	initial	ADJ
fcis-3754	150	28	cluster	cluster	NOUN
fcis-3754	150	29	before	before	ADP
fcis-3754	150	30	the	the	DET
fcis-3754	150	31	process	process	NOUN
fcis-3754	150	32	of	of	ADP
fcis-3754	150	33	k	k	X
fcis-3754	150	34	-	-	PUNCT
fcis-3754	150	35	means	mean	VERB
fcis-3754	150	36	[	[	X
fcis-3754	150	37	36	36	NUM
fcis-3754	150	38	]	]	PUNCT
fcis-3754	150	39	.	.	PUNCT
fcis-3754	151	1	what	what	PRON
fcis-3754	151	2	is	be	AUX
fcis-3754	151	3	more	more	ADJ
fcis-3754	151	4	,	,	PUNCT
fcis-3754	151	5	in	in	ADP
fcis-3754	151	6	2016	2016	NUM
fcis-3754	151	7	,	,	PUNCT
fcis-3754	151	8	xiong	xiong	PROPN
fcis-3754	151	9	c	c	PROPN
fcis-3754	151	10	,	,	PUNCT
fcis-3754	151	11	hua	hua	PROPN
fcis-3754	152	1	z	z	PROPN
fcis-3754	152	2	and	and	CCONJ
fcis-3754	152	3	lv	lv	PROPN
fcis-3754	152	4	k	k	PROPN
fcis-3754	152	5	have	have	AUX
fcis-3754	152	6	improved	improve	VERB
fcis-3754	152	7	k	k	ADJ
fcis-3754	152	8	-	-	PUNCT
fcis-3754	152	9	means	means	NOUN
fcis-3754	152	10	algorithm	algorithm	NOUN
fcis-3754	152	11	by	by	ADP
fcis-3754	152	12	optimizing	optimize	VERB
fcis-3754	152	13	initial	initial	ADJ
fcis-3754	152	14	cluster	cluster	NOUN
fcis-3754	152	15	of	of	ADP
fcis-3754	152	16	the	the	DET
fcis-3754	152	17	k	k	NOUN
fcis-3754	152	18	-	-	PUNCT
fcis-3754	152	19	means	means	NOUN
fcis-3754	152	20	algorithm	algorithm	NOUN
fcis-3754	152	21	too	too	ADV
fcis-3754	153	1	[	[	X
fcis-3754	153	2	37	37	NUM
fcis-3754	153	3	]	]	SYM
fcis-3754	153	4	.	.	PUNCT
fcis-3754	154	1	2.3.2	2.3.2	NUM
fcis-3754	154	2	.	.	PUNCT
fcis-3754	155	1	em	em	PRON
fcis-3754	155	2	clustering	cluster	VERB
fcis-3754	155	3	algorithm	algorithm	NOUN
fcis-3754	155	4	em	em	PRON
fcis-3754	155	5	algorithm	algorithm	NOUN
fcis-3754	155	6	is	be	AUX
fcis-3754	155	7	based	base	VERB
fcis-3754	155	8	on	on	ADP
fcis-3754	155	9	the	the	DET
fcis-3754	155	10	rule	rule	NOUN
fcis-3754	155	11	that	that	SCONJ
fcis-3754	155	12	,	,	PUNCT
fcis-3754	155	13	for	for	ADP
fcis-3754	155	14	each	each	DET
fcis-3754	155	15	instance	instance	NOUN
fcis-3754	155	16	,	,	PUNCT
fcis-3754	155	17	it	it	PRON
fcis-3754	155	18	assigns	assign	VERB
fcis-3754	155	19	a	a	DET
fcis-3754	155	20	probability	probability	NOUN
fcis-3754	155	21	distribution	distribution	NOUN
fcis-3754	155	22	value	value	NOUN
fcis-3754	155	23	which	which	PRON
fcis-3754	155	24	can	can	AUX
fcis-3754	155	25	indicate	indicate	VERB
fcis-3754	155	26	the	the	DET
fcis-3754	155	27	probability	probability	NOUN
fcis-3754	155	28	of	of	ADP
fcis-3754	155	29	it	it	PRON
fcis-3754	155	30	belonging	belong	VERB
fcis-3754	155	31	to	to	ADP
fcis-3754	155	32	each	each	PRON
fcis-3754	155	33	of	of	ADP
fcis-3754	155	34	the	the	DET
fcis-3754	155	35	clusters	cluster	NOUN
fcis-3754	155	36	.	.	PUNCT
fcis-3754	156	1	in	in	ADP
fcis-3754	156	2	1987	1987	NUM
fcis-3754	156	3	,	,	PUNCT
fcis-3754	156	4	hoenig	hoenig	PROPN
fcis-3754	156	5	j	j	PROPN
fcis-3754	156	6	m	m	PROPN
fcis-3754	156	7	and	and	CCONJ
fcis-3754	156	8	heisey	heisey	PROPN
fcis-3754	156	9	d	d	AUX
fcis-3754	156	10	m	m	VERB
fcis-3754	156	11	have	have	AUX
fcis-3754	156	12	described	describe	VERB
fcis-3754	156	13	the	the	DET
fcis-3754	156	14	method	method	NOUN
fcis-3754	156	15	that	that	SCONJ
fcis-3754	156	16	using	use	VERB
fcis-3754	156	17	em	em	PRON
fcis-3754	156	18	algorithm	algorithm	NOUN
fcis-3754	156	19	to	to	PART
fcis-3754	156	20	make	make	VERB
fcis-3754	156	21	estimate	estimate	NOUN
fcis-3754	156	22	on	on	ADP
fcis-3754	156	23	the	the	DET
fcis-3754	156	24	stock	stock	NOUN
fcis-3754	156	25	price	price	NOUN
fcis-3754	156	26	moving	move	VERB
fcis-3754	156	27	data	datum	NOUN
fcis-3754	156	28	[	[	X
fcis-3754	156	29	38	38	NUM
fcis-3754	156	30	]	]	PUNCT
fcis-3754	156	31	.	.	PUNCT
fcis-3754	157	1	in	in	ADP
fcis-3754	157	2	2008	2008	NUM
fcis-3754	157	3	,	,	PUNCT
fcis-3754	157	4	shinozaki	shinozaki	PROPN
fcis-3754	157	5	t	t	PROPN
fcis-3754	157	6	and	and	CCONJ
fcis-3754	157	7	ostendorf	ostendorf	PROPN
fcis-3754	157	8	m	m	AUX
fcis-3754	157	9	put	put	VERB
fcis-3754	157	10	forward	forward	ADV
fcis-3754	157	11	their	their	PRON
fcis-3754	157	12	maximum	maximum	ADJ
fcis-3754	157	13	log	log	NOUN
fcis-3754	157	14	likelihood	likelihood	NOUN
fcis-3754	157	15	index	index	NOUN
fcis-3754	157	16	evaluation	evaluation	NOUN
fcis-3754	157	17	algorithm	algorithm	NOUN
fcis-3754	157	18	to	to	PART
fcis-3754	157	19	improve	improve	VERB
fcis-3754	157	20	the	the	DET
fcis-3754	157	21	em	em	PRON
fcis-3754	157	22	clustering	cluster	VERB
fcis-3754	157	23	algorithm	algorithm	NOUN
fcis-3754	157	24	which	which	PRON
fcis-3754	157	25	has	have	VERB
fcis-3754	157	26	a	a	DET
fcis-3754	157	27	better	well	ADJ
fcis-3754	157	28	performance	performance	NOUN
fcis-3754	157	29	than	than	ADP
fcis-3754	157	30	the	the	DET
fcis-3754	157	31	original	original	NOUN
fcis-3754	157	32	em	em	PRON
fcis-3754	157	33	clustering	cluster	VERB
fcis-3754	157	34	algorithm	algorithm	NOUN
fcis-3754	157	35	[	[	X
fcis-3754	157	36	39	39	NUM
fcis-3754	157	37	]	]	PUNCT
fcis-3754	157	38	.	.	PUNCT
fcis-3754	158	1	in	in	ADP
fcis-3754	158	2	1991	1991	NUM
fcis-3754	158	3	,	,	PUNCT
fcis-3754	158	4	coakley	coakley	PROPN
fcis-3754	158	5	k	k	PROPN
fcis-3754	158	6	j	j	PROPN
fcis-3754	158	7	described	describe	VERB
fcis-3754	158	8	his	his	PRON
fcis-3754	158	9	crossvalidation	crossvalidation	NOUN
fcis-3754	158	10	procedure	procedure	NOUN
fcis-3754	158	11	which	which	PRON
fcis-3754	158	12	can	can	AUX
fcis-3754	158	13	be	be	AUX
fcis-3754	158	14	used	use	VERB
fcis-3754	158	15	to	to	PART
fcis-3754	158	16	specify	specify	VERB
fcis-3754	158	17	the	the	DET
fcis-3754	158	18	best	good	ADJ
fcis-3754	158	19	number	number	NOUN
fcis-3754	158	20	of	of	ADP
fcis-3754	158	21	clusters	cluster	NOUN
fcis-3754	158	22	in	in	ADP
fcis-3754	158	23	the	the	DET
fcis-3754	158	24	em	em	PROPN
fcis-3754	158	25	clustering	cluster	VERB
fcis-3754	158	26	algorithm	algorithm	NOUN
fcis-3754	158	27	[	[	X
fcis-3754	158	28	40	40	NUM
fcis-3754	158	29	]	]	PUNCT
fcis-3754	158	30	.	.	PUNCT
fcis-3754	159	1	by	by	ADP
fcis-3754	159	2	implementing	implement	VERB
fcis-3754	159	3	cross	cross	NOUN
fcis-3754	159	4	validation	validation	NOUN
fcis-3754	159	5	and	and	CCONJ
fcis-3754	159	6	using	use	VERB
fcis-3754	159	7	the	the	DET
fcis-3754	159	8	log	log	NOUN
fcis-3754	159	9	likelihood	likelihood	NOUN
fcis-3754	159	10	index	index	NOUN
fcis-3754	159	11	,	,	PUNCT
fcis-3754	159	12	the	the	DET
fcis-3754	159	13	em	em	PRON
fcis-3754	159	14	clustering	cluster	VERB
fcis-3754	159	15	can	can	AUX
fcis-3754	159	16	decide	decide	VERB
fcis-3754	159	17	the	the	DET
fcis-3754	159	18	best	good	ADJ
fcis-3754	159	19	number	number	NOUN
fcis-3754	159	20	of	of	ADP
fcis-3754	159	21	clusters	cluster	NOUN
fcis-3754	159	22	to	to	PART
fcis-3754	159	23	create	create	VERB
fcis-3754	159	24	itself	itself	PRON
fcis-3754	159	25	which	which	PRON
fcis-3754	159	26	is	be	AUX
fcis-3754	159	27	implemented	implement	VERB
fcis-3754	159	28	by	by	ADP
fcis-3754	159	29	dempster	dempster	PROPN
fcis-3754	159	30	a	a	DET
fcis-3754	159	31	p	p	X
fcis-3754	159	32	,	,	PUNCT
fcis-3754	159	33	laird	laird	PROPN
fcis-3754	159	34	n	n	PROPN
fcis-3754	159	35	m	m	PROPN
fcis-3754	159	36	,	,	PUNCT
fcis-3754	159	37	rubin	rubin	PROPN
fcis-3754	159	38	d	d	PROPN
fcis-3754	159	39	b	b	PROPN
fcis-3754	159	40	in	in	ADP
fcis-3754	159	41	1977	1977	NUM
fcis-3754	160	1	[	[	X
fcis-3754	160	2	41	41	NUM
fcis-3754	160	3	]	]	PUNCT
fcis-3754	160	4	.	.	PUNCT
fcis-3754	161	1	in	in	ADP
fcis-3754	161	2	another	another	DET
fcis-3754	161	3	way	way	NOUN
fcis-3754	161	4	,	,	PUNCT
fcis-3754	161	5	apriori	apriori	ADV
fcis-3754	161	6	algorithm	algorithm	NOUN
fcis-3754	161	7	can	can	AUX
fcis-3754	161	8	also	also	ADV
fcis-3754	161	9	be	be	AUX
fcis-3754	161	10	used	use	VERB
fcis-3754	161	11	to	to	PART
fcis-3754	161	12	specify	specify	VERB
fcis-3754	161	13	how	how	SCONJ
fcis-3754	161	14	many	many	ADJ
fcis-3754	161	15	clusters	cluster	NOUN
fcis-3754	161	16	to	to	PART
fcis-3754	161	17	generate	generate	VERB
fcis-3754	161	18	.	.	PUNCT
fcis-3754	162	1	in	in	ADP
fcis-3754	162	2	2016	2016	NUM
fcis-3754	162	3	,	,	PUNCT
fcis-3754	162	4	sarma	sarma	PROPN
fcis-3754	162	5	h	h	PROPN
fcis-3754	162	6	k	k	PROPN
fcis-3754	162	7	d	d	PROPN
fcis-3754	162	8	,	,	PUNCT
fcis-3754	162	9	mishra	mishra	PROPN
fcis-3754	162	10	s	s	AUX
fcis-3754	162	11	have	have	AUX
fcis-3754	162	12	put	put	VERB
fcis-3754	162	13	forward	forward	ADV
fcis-3754	162	14	their	their	PRON
fcis-3754	162	15	improvement	improvement	NOUN
fcis-3754	162	16	on	on	ADP
fcis-3754	162	17	the	the	DET
fcis-3754	162	18	research	research	NOUN
fcis-3754	162	19	that	that	PRON
fcis-3754	162	20	to	to	PART
fcis-3754	162	21	use	use	VERB
fcis-3754	162	22	apriori	apriori	ADJ
fcis-3754	162	23	algorithm	algorithm	NOUN
fcis-3754	162	24	to	to	PART
fcis-3754	162	25	do	do	VERB
fcis-3754	162	26	data	data	NOUN
fcis-3754	162	27	mining	mining	NOUN
fcis-3754	162	28	on	on	ADP
fcis-3754	162	29	the	the	DET
fcis-3754	162	30	time	time	NOUN
fcis-3754	162	31	series	series	PROPN
fcis-3754	162	32	data	data	PROPN
fcis-3754	162	33	[	[	X
fcis-3754	162	34	29	29	NUM
fcis-3754	162	35	]	]	PUNCT
fcis-3754	162	36	.	.	PUNCT
fcis-3754	163	1	and	and	CCONJ
fcis-3754	163	2	in	in	ADP
fcis-3754	163	3	2003	2003	NUM
fcis-3754	163	4	,	,	PUNCT
fcis-3754	163	5	em	em	PRON
fcis-3754	163	6	algorithm	algorithm	NOUN
fcis-3754	163	7	is	be	AUX
fcis-3754	163	8	implemented	implement	VERB
fcis-3754	163	9	to	to	PART
fcis-3754	163	10	be	be	AUX
fcis-3754	163	11	used	use	VERB
fcis-3754	163	12	in	in	ADP
fcis-3754	163	13	market	market	NOUN
fcis-3754	163	14	research	research	NOUN
fcis-3754	163	15	by	by	ADP
fcis-3754	163	16	karlis	karlis	PROPN
fcis-3754	164	1	d	d	NOUN
fcis-3754	164	2	and	and	CCONJ
fcis-3754	164	3	it	it	PRON
fcis-3754	164	4	is	be	AUX
fcis-3754	164	5	proved	prove	VERB
fcis-3754	164	6	to	to	PART
fcis-3754	164	7	have	have	VERB
fcis-3754	164	8	a	a	DET
fcis-3754	164	9	better	well	ADJ
fcis-3754	164	10	performance	performance	NOUN
fcis-3754	164	11	than	than	ADP
fcis-3754	164	12	traditional	traditional	ADJ
fcis-3754	164	13	hierarchical	hierarchical	ADJ
fcis-3754	164	14	clustering	clustering	ADJ
fcis-3754	164	15	algorithm	algorithm	NOUN
fcis-3754	164	16	on	on	ADP
fcis-3754	164	17	the	the	DET
fcis-3754	164	18	stock	stock	NOUN
fcis-3754	164	19	market	market	NOUN
fcis-3754	165	1	[	[	X
fcis-3754	165	2	42	42	NUM
fcis-3754	165	3	]	]	PUNCT
fcis-3754	165	4	.	.	PUNCT
fcis-3754	166	1	em	em	PRON
fcis-3754	166	2	algorithm	algorithm	NOUN
fcis-3754	166	3	is	be	AUX
fcis-3754	166	4	a	a	DET
fcis-3754	166	5	useful	useful	ADJ
fcis-3754	166	6	algorithm	algorithm	NOUN
fcis-3754	166	7	to	to	PART
fcis-3754	166	8	calculate	calculate	VERB
fcis-3754	166	9	the	the	DET
fcis-3754	166	10	probability	probability	NOUN
fcis-3754	166	11	of	of	ADP
fcis-3754	166	12	a	a	DET
fcis-3754	166	13	data	data	NOUN
fcis-3754	166	14	point	point	NOUN
fcis-3754	166	15	belonging	belong	VERB
fcis-3754	166	16	to	to	ADP
fcis-3754	166	17	a	a	DET
fcis-3754	166	18	cluster	cluster	NOUN
fcis-3754	166	19	from	from	ADP
fcis-3754	166	20	the	the	DET
fcis-3754	166	21	data	datum	NOUN
fcis-3754	166	22	set	set	VERB
fcis-3754	166	23	which	which	PRON
fcis-3754	166	24	contains	contain	VERB
fcis-3754	166	25	incomplete	incomplete	ADJ
fcis-3754	166	26	data	datum	NOUN
fcis-3754	166	27	or	or	CCONJ
fcis-3754	166	28	missing	miss	VERB
fcis-3754	166	29	data	datum	NOUN
fcis-3754	166	30	.	.	PUNCT
fcis-3754	167	1	canopy	canopy	NOUN
fcis-3754	167	2	clustering	cluster	VERB
fcis-3754	167	3	algorithm	algorithm	NOUN
fcis-3754	167	4	and	and	CCONJ
fcis-3754	167	5	hierarchical	hierarchical	ADJ
fcis-3754	167	6	clustering	clustering	ADJ
fcis-3754	167	7	algorithm	algorithm	NOUN
fcis-3754	167	8	hierarchical	hierarchical	ADJ
fcis-3754	167	9	clustering	clustering	NOUN
fcis-3754	167	10	is	be	AUX
fcis-3754	167	11	a	a	DET
fcis-3754	167	12	traditional	traditional	ADJ
fcis-3754	167	13	clustering	clustering	NOUN
fcis-3754	167	14	method	method	NOUN
fcis-3754	167	15	and	and	CCONJ
fcis-3754	167	16	there	there	PRON
fcis-3754	167	17	are	be	VERB
fcis-3754	167	18	lots	lot	NOUN
fcis-3754	167	19	of	of	ADP
fcis-3754	167	20	researches	research	NOUN
fcis-3754	167	21	related	relate	VERB
fcis-3754	167	22	.	.	PUNCT
fcis-3754	168	1	it	it	PRON
fcis-3754	168	2	is	be	AUX
fcis-3754	168	3	one	one	NUM
fcis-3754	168	4	of	of	ADP
fcis-3754	168	5	the	the	DET
fcis-3754	168	6	clustering	cluster	VERB
fcis-3754	168	7	methods	method	NOUN
fcis-3754	168	8	that	that	PRON
fcis-3754	168	9	calculate	calculate	VERB
fcis-3754	168	10	the	the	DET
fcis-3754	168	11	similarity	similarity	NOUN
fcis-3754	168	12	between	between	ADP
fcis-3754	168	13	different	different	ADJ
fcis-3754	168	14	classifications	classification	NOUN
fcis-3754	168	15	of	of	ADP
fcis-3754	168	16	data	datum	NOUN
fcis-3754	168	17	points	point	NOUN
fcis-3754	168	18	and	and	CCONJ
fcis-3754	168	19	create	create	VERB
fcis-3754	168	20	a	a	DET
fcis-3754	168	21	clustering	cluster	VERB
fcis-3754	168	22	tree	tree	NOUN
fcis-3754	168	23	which	which	PRON
fcis-3754	168	24	has	have	VERB
fcis-3754	168	25	many	many	ADJ
fcis-3754	168	26	levels	level	NOUN
fcis-3754	168	27	.	.	PUNCT
fcis-3754	169	1	it	it	PRON
fcis-3754	169	2	always	always	ADV
fcis-3754	169	3	combines	combine	VERB
fcis-3754	169	4	the	the	DET
fcis-3754	169	5	most	most	ADV
fcis-3754	169	6	similar	similar	ADJ
fcis-3754	169	7	two	two	NUM
fcis-3754	169	8	data	datum	NOUN
fcis-3754	169	9	points	point	NOUN
fcis-3754	169	10	together	together	ADV
fcis-3754	169	11	by	by	ADP
fcis-3754	169	12	calculating	calculate	VERB
fcis-3754	169	13	the	the	DET
fcis-3754	169	14	distance	distance	NOUN
fcis-3754	169	15	such	such	ADJ
fcis-3754	169	16	as	as	ADP
fcis-3754	169	17	euclidean	euclidean	ADJ
fcis-3754	169	18	distance	distance	NOUN
fcis-3754	169	19	.	.	PUNCT
fcis-3754	170	1	there	there	PRON
fcis-3754	170	2	are	be	VERB
fcis-3754	170	3	mainly	mainly	ADV
fcis-3754	170	4	3	3	NUM
fcis-3754	170	5	different	different	ADJ
fcis-3754	170	6	linkage	linkage	NOUN
fcis-3754	170	7	types	type	NOUN
fcis-3754	170	8	to	to	PART
fcis-3754	170	9	calculate	calculate	VERB
fcis-3754	170	10	the	the	DET
fcis-3754	170	11	distance	distance	NOUN
fcis-3754	170	12	between	between	ADP
fcis-3754	170	13	two	two	NUM
fcis-3754	170	14	data	datum	NOUN
fcis-3754	170	15	point	point	NOUN
fcis-3754	170	16	sets	set	NOUN
fcis-3754	170	17	and	and	CCONJ
fcis-3754	170	18	they	they	PRON
fcis-3754	170	19	are	be	AUX
fcis-3754	170	20	single	single	ADJ
fcis-3754	170	21	linkage	linkage	NOUN
fcis-3754	170	22	,	,	PUNCT
fcis-3754	170	23	complete	complete	ADJ
fcis-3754	170	24	linkage	linkage	NOUN
fcis-3754	170	25	and	and	CCONJ
fcis-3754	170	26	average	average	ADJ
fcis-3754	170	27	linkage	linkage	NOUN
fcis-3754	170	28	.	.	PUNCT
fcis-3754	171	1	in	in	ADP
fcis-3754	171	2	2017	2017	NUM
fcis-3754	171	3	,	,	PUNCT
fcis-3754	171	4	zhu	zhu	PROPN
fcis-3754	171	5	d	d	PROPN
fcis-3754	171	6	,	,	PUNCT
fcis-3754	171	7	guralnik	guralnik	X
fcis-3754	171	8	d	d	PROPN
fcis-3754	171	9	p	p	PROPN
fcis-3754	171	10	and	and	CCONJ
fcis-3754	171	11	wang	wang	PROPN
fcis-3754	171	12	x	x	AUX
fcis-3754	171	13	have	have	AUX
fcis-3754	171	14	shown	show	VERB
fcis-3754	171	15	the	the	DET
fcis-3754	171	16	advantages	advantage	NOUN
fcis-3754	171	17	and	and	CCONJ
fcis-3754	171	18	disadvantages	disadvantage	NOUN
fcis-3754	171	19	of	of	ADP
fcis-3754	171	20	single	single	ADJ
fcis-3754	171	21	linkage	linkage	NOUN
fcis-3754	171	22	in	in	ADP
fcis-3754	171	23	hierarchical	hierarchical	ADJ
fcis-3754	171	24	clustering	clustering	ADJ
fcis-3754	171	25	algorithm	algorithm	NOUN
fcis-3754	171	26	in	in	ADP
fcis-3754	171	27	unsupervised	unsupervised	ADJ
fcis-3754	171	28	data	datum	NOUN
fcis-3754	171	29	analysis	analysis	NOUN
fcis-3754	171	30	[	[	X
fcis-3754	171	31	43	43	NUM
fcis-3754	171	32	]	]	PUNCT
fcis-3754	171	33	.	.	PUNCT
fcis-3754	172	1	and	and	CCONJ
fcis-3754	172	2	großwendt	großwendt	PROPN
fcis-3754	172	3	a	a	PRON
fcis-3754	172	4	,	,	PUNCT
fcis-3754	172	5	röglin	röglin	PROPN
fcis-3754	172	6	h	h	PROPN
fcis-3754	172	7	have	have	AUX
fcis-3754	172	8	briefly	briefly	ADV
fcis-3754	172	9	described	describe	VERB
fcis-3754	172	10	their	their	PRON
fcis-3754	172	11	improved	improve	VERB
fcis-3754	172	12	complete	complete	ADJ
fcis-3754	172	13	linkage	linkage	NOUN
fcis-3754	172	14	method	method	NOUN
fcis-3754	172	15	in	in	ADP
fcis-3754	172	16	the	the	DET
fcis-3754	172	17	hierarchical	hierarchical	ADJ
fcis-3754	172	18	clustering	clustering	ADJ
fcis-3754	172	19	algorithm	algorithm	NOUN
fcis-3754	172	20	in	in	ADP
fcis-3754	172	21	2017	2017	NUM
fcis-3754	172	22	[	[	SYM
fcis-3754	172	23	44	44	NUM
fcis-3754	172	24	]	]	PUNCT
fcis-3754	172	25	.	.	PUNCT
fcis-3754	173	1	in	in	ADP
fcis-3754	173	2	2016	2016	NUM
fcis-3754	173	3	,	,	PUNCT
fcis-3754	173	4	gagolewski	gagolewski	ADJ
fcis-3754	173	5	m	m	PROPN
fcis-3754	173	6	,	,	PUNCT
fcis-3754	173	7	bartoszuk	bartoszuk	PROPN
fcis-3754	173	8	m	m	PROPN
fcis-3754	173	9	and	and	CCONJ
fcis-3754	173	10	cena	cena	PROPN
fcis-3754	173	11	a	a	PRON
fcis-3754	173	12	improved	improve	VERB
fcis-3754	173	13	the	the	DET
fcis-3754	173	14	average	average	ADJ
fcis-3754	173	15	linkage	linkage	NOUN
fcis-3754	173	16	method	method	NOUN
fcis-3754	173	17	in	in	ADP
fcis-3754	173	18	hierarchical	hierarchical	ADJ
fcis-3754	173	19	clustering	clustering	ADJ
fcis-3754	173	20	algorithm	algorithm	NOUN
fcis-3754	173	21	[	[	X
fcis-3754	173	22	45	45	NUM
fcis-3754	173	23	]	]	PUNCT
fcis-3754	173	24	.	.	PUNCT
fcis-3754	174	1	in	in	ADP
fcis-3754	174	2	1981	1981	NUM
fcis-3754	174	3	,	,	PUNCT
fcis-3754	174	4	srivastava	srivastava	PROPN
fcis-3754	174	5	r	r	PROPN
fcis-3754	174	6	k	k	PROPN
fcis-3754	174	7	,	,	PUNCT
fcis-3754	174	8	leone	leone	NOUN
fcis-3754	174	9	r	r	NOUN
fcis-3754	174	10	p	p	NOUN
fcis-3754	174	11	and	and	CCONJ
fcis-3754	174	12	shocker	shocker	NOUN
fcis-3754	175	1	a	a	PRON
fcis-3754	175	2	d	d	NOUN
fcis-3754	175	3	discussed	discuss	VERB
fcis-3754	175	4	how	how	SCONJ
fcis-3754	175	5	to	to	PART
fcis-3754	175	6	use	use	VERB
fcis-3754	175	7	hierarchical	hierarchical	ADJ
fcis-3754	175	8	clustering	clustering	NOUN
fcis-3754	175	9	to	to	PART
fcis-3754	175	10	make	make	VERB
fcis-3754	175	11	analysis	analysis	NOUN
fcis-3754	175	12	on	on	ADP
fcis-3754	175	13	market	market	NOUN
fcis-3754	175	14	products	product	NOUN
fcis-3754	175	15	[	[	X
fcis-3754	175	16	46	46	NUM
fcis-3754	175	17	]	]	PUNCT
fcis-3754	175	18	.	.	PUNCT
fcis-3754	176	1	in	in	ADP
fcis-3754	176	2	2016	2016	NUM
fcis-3754	176	3	,	,	PUNCT
fcis-3754	176	4	lahmiri	lahmiri	PROPN
fcis-3754	176	5	s	s	PART
fcis-3754	176	6	has	have	AUX
fcis-3754	176	7	discussed	discuss	VERB
fcis-3754	176	8	how	how	SCONJ
fcis-3754	176	9	to	to	PART
fcis-3754	176	10	examine	examine	VERB
fcis-3754	176	11	the	the	DET
fcis-3754	176	12	co	co	NOUN
fcis-3754	176	13	-	-	NOUN
fcis-3754	176	14	movement	movement	NOUN
fcis-3754	176	15	of	of	ADP
fcis-3754	176	16	stock	stock	NOUN
fcis-3754	176	17	data	datum	NOUN
fcis-3754	176	18	by	by	ADP
fcis-3754	176	19	implementing	implement	VERB
fcis-3754	176	20	hierarchical	hierarchical	ADJ
fcis-3754	176	21	clustering	clustering	NOUN
fcis-3754	176	22	but	but	CCONJ
fcis-3754	176	23	hierarchical	hierarchical	ADJ
fcis-3754	176	24	algorithm	algorithm	NOUN
fcis-3754	176	25	is	be	AUX
fcis-3754	176	26	considered	consider	VERB
fcis-3754	176	27	to	to	PART
fcis-3754	176	28	be	be	AUX
fcis-3754	176	29	not	not	PART
fcis-3754	176	30	very	very	ADV
fcis-3754	176	31	useful	useful	ADJ
fcis-3754	176	32	in	in	ADP
fcis-3754	176	33	clustering	clustering	NOUN
fcis-3754	176	34	of	of	ADP
fcis-3754	176	35	stock	stock	NOUN
fcis-3754	176	36	price	price	NOUN
fcis-3754	176	37	moving	move	VERB
fcis-3754	176	38	data	datum	NOUN
fcis-3754	177	1	[	[	X
fcis-3754	177	2	47	47	NUM
fcis-3754	177	3	]	]	PUNCT
fcis-3754	177	4	.	.	PUNCT
fcis-3754	178	1	it	it	PRON
fcis-3754	178	2	is	be	AUX
fcis-3754	178	3	considered	consider	VERB
fcis-3754	178	4	that	that	SCONJ
fcis-3754	178	5	clustering	clustering	NOUN
fcis-3754	178	6	is	be	AUX
fcis-3754	178	7	a	a	DET
fcis-3754	178	8	kind	kind	NOUN
fcis-3754	178	9	of	of	ADP
fcis-3754	178	10	unsupervised	unsupervised	ADJ
fcis-3754	178	11	learning	learning	NOUN
fcis-3754	178	12	algorithms	algorithm	NOUN
fcis-3754	178	13	that	that	SCONJ
fcis-3754	178	14	there	there	PRON
fcis-3754	178	15	is	be	VERB
fcis-3754	178	16	no	no	PRON
fcis-3754	178	17	definitely	definitely	ADV
fcis-3754	178	18	correct	correct	ADJ
fcis-3754	178	19	or	or	CCONJ
fcis-3754	178	20	incorrect	incorrect	ADJ
fcis-3754	178	21	classification	classification	NOUN
fcis-3754	178	22	on	on	ADP
fcis-3754	178	23	the	the	DET
fcis-3754	178	24	stock	stock	NOUN
fcis-3754	178	25	price	price	NOUN
fcis-3754	178	26	moving	move	VERB
fcis-3754	178	27	data	datum	NOUN
fcis-3754	178	28	.	.	PUNCT
fcis-3754	179	1	because	because	SCONJ
fcis-3754	179	2	of	of	ADP
fcis-3754	179	3	this	this	DET
fcis-3754	179	4	situation	situation	NOUN
fcis-3754	179	5	,	,	PUNCT
fcis-3754	179	6	there	there	PRON
fcis-3754	179	7	are	be	VERB
fcis-3754	179	8	quite	quite	DET
fcis-3754	179	9	a	a	DET
fcis-3754	179	10	number	number	NOUN
fcis-3754	179	11	of	of	ADP
fcis-3754	179	12	indexes	index	NOUN
fcis-3754	179	13	being	be	AUX
fcis-3754	179	14	created	create	VERB
fcis-3754	179	15	to	to	PART
fcis-3754	179	16	make	make	VERB
fcis-3754	179	17	evaluation	evaluation	NOUN
fcis-3754	179	18	on	on	ADP
fcis-3754	179	19	the	the	DET
fcis-3754	179	20	performance	performance	NOUN
fcis-3754	179	21	of	of	ADP
fcis-3754	179	22	different	different	ADJ
fcis-3754	179	23	clustering	clustering	ADJ
fcis-3754	179	24	methods	method	NOUN
fcis-3754	179	25	.	.	PUNCT
fcis-3754	180	1	the	the	DET
fcis-3754	180	2	principle	principle	NOUN
fcis-3754	180	3	of	of	ADP
fcis-3754	180	4	canopy	canopy	NOUN
fcis-3754	180	5	clustering	cluster	VERB
fcis-3754	180	6	algorithm	algorithm	NOUN
fcis-3754	180	7	is	be	AUX
fcis-3754	180	8	to	to	PART
fcis-3754	180	9	firstly	firstly	ADV
fcis-3754	180	10	classify	classify	VERB
fcis-3754	180	11	the	the	DET
fcis-3754	180	12	data	datum	NOUN
fcis-3754	180	13	set	set	VERB
fcis-3754	180	14	into	into	ADP
fcis-3754	180	15	several	several	ADJ
fcis-3754	180	16	groups	group	NOUN
fcis-3754	180	17	call	call	VERB
fcis-3754	180	18	canopy	canopy	NOUN
fcis-3754	180	19	by	by	ADP
fcis-3754	180	20	approximate	approximate	ADJ
fcis-3754	180	21	distance	distance	NOUN
fcis-3754	180	22	algorithm	algorithm	NOUN
fcis-3754	180	23	.	.	PUNCT
fcis-3754	181	1	and	and	CCONJ
fcis-3754	181	2	then	then	ADV
fcis-3754	181	3	,	,	PUNCT
fcis-3754	181	4	it	it	PRON
fcis-3754	181	5	uses	use	VERB
fcis-3754	181	6	strict	strict	ADJ
fcis-3754	181	7	distance	distance	NOUN
fcis-3754	181	8	algorithm	algorithm	NOUN
fcis-3754	181	9	to	to	PART
fcis-3754	181	10	calculate	calculate	VERB
fcis-3754	181	11	the	the	DET
fcis-3754	181	12	data	data	NOUN
fcis-3754	181	13	points	point	NOUN
fcis-3754	181	14	in	in	ADP
fcis-3754	181	15	the	the	DET
fcis-3754	181	16	same	same	ADJ
fcis-3754	181	17	canopy	canopy	NOUN
fcis-3754	181	18	and	and	CCONJ
fcis-3754	181	19	assign	assign	VERB
fcis-3754	181	20	them	they	PRON
fcis-3754	181	21	in	in	ADP
fcis-3754	181	22	the	the	DET
fcis-3754	181	23	most	most	ADV
fcis-3754	181	24	appropriate	appropriate	ADJ
fcis-3754	181	25	cluster	cluster	NOUN
fcis-3754	181	26	.	.	PUNCT
fcis-3754	182	1	in	in	ADP
fcis-3754	182	2	2014	2014	NUM
fcis-3754	182	3	,	,	PUNCT
fcis-3754	182	4	sharma	sharma	PROPN
fcis-3754	182	5	s	s	PART
fcis-3754	182	6	and	and	CCONJ
fcis-3754	182	7	tiwari	tiwari	ADJ
fcis-3754	182	8	r	r	NOUN
fcis-3754	182	9	discussed	discuss	VERB
fcis-3754	182	10	their	their	PRON
fcis-3754	182	11	improved	improve	VERB
fcis-3754	182	12	canopy	canopy	NOUN
fcis-3754	182	13	algorithm	algorithm	NOUN
fcis-3754	183	1	[	[	X
fcis-3754	183	2	48	48	NUM
fcis-3754	183	3	]	]	PUNCT
fcis-3754	183	4	.	.	PUNCT
fcis-3754	184	1	in	in	ADP
fcis-3754	184	2	2012	2012	NUM
fcis-3754	184	3	,	,	PUNCT
fcis-3754	184	4	he	he	PRON
fcis-3754	184	5	h	h	VERB
fcis-3754	184	6	,	,	PUNCT
fcis-3754	184	7	guo	guo	PROPN
fcis-3754	184	8	l	l	PROPN
fcis-3754	184	9	and	and	CCONJ
fcis-3754	184	10	geng	geng	PROPN
fcis-3754	184	11	y	y	PROPN
fcis-3754	184	12	have	have	AUX
fcis-3754	184	13	proved	prove	VERB
fcis-3754	184	14	that	that	SCONJ
fcis-3754	184	15	using	use	VERB
fcis-3754	184	16	canopy	canopy	NOUN
fcis-3754	184	17	algorithm	algorithm	NOUN
fcis-3754	184	18	before	before	SCONJ
fcis-3754	184	19	k	k	NOUN
fcis-3754	184	20	-	-	PUNCT
fcis-3754	184	21	means	means	NOUN
fcis-3754	184	22	algorithm	algorithm	NOUN
fcis-3754	184	23	have	have	VERB
fcis-3754	184	24	a	a	DET
fcis-3754	184	25	better	well	ADJ
fcis-3754	184	26	performance	performance	NOUN
fcis-3754	184	27	than	than	ADP
fcis-3754	184	28	the	the	DET
fcis-3754	184	29	traditional	traditional	ADJ
fcis-3754	184	30	kmeans	kmean	NOUN
fcis-3754	184	31	algorithm	algorithm	NOUN
fcis-3754	184	32	[	[	X
fcis-3754	184	33	49	49	NUM
fcis-3754	184	34	]	]	PUNCT
fcis-3754	184	35	.	.	PUNCT
fcis-3754	185	1	in	in	ADP
fcis-3754	185	2	this	this	DET
fcis-3754	185	3	project	project	NOUN
fcis-3754	185	4	,	,	PUNCT
fcis-3754	185	5	the	the	DET
fcis-3754	185	6	canopy	canopy	NOUN
fcis-3754	185	7	clustering	cluster	VERB
fcis-3754	185	8	algorithm	algorithm	NOUN
fcis-3754	185	9	is	be	AUX
fcis-3754	185	10	used	use	VERB
fcis-3754	185	11	to	to	PART
fcis-3754	185	12	specify	specify	VERB
fcis-3754	185	13	the	the	DET
fcis-3754	185	14	best	good	ADJ
fcis-3754	185	15	number	number	NOUN
fcis-3754	185	16	of	of	ADP
fcis-3754	185	17	clusters	cluster	NOUN
fcis-3754	185	18	of	of	ADP
fcis-3754	185	19	kmeans	kmean	NOUN
fcis-3754	185	20	clustering	cluster	VERB
fcis-3754	185	21	algorithm	algorithm	NOUN
fcis-3754	185	22	and	and	CCONJ
fcis-3754	185	23	calculate	calculate	VERB
fcis-3754	185	24	the	the	DET
fcis-3754	185	25	initial	initial	ADJ
fcis-3754	185	26	cluster	cluster	NOUN
fcis-3754	185	27	centers	center	NOUN
fcis-3754	185	28	of	of	ADP
fcis-3754	185	29	k	k	NOUN
fcis-3754	185	30	-	-	PUNCT
fcis-3754	185	31	means	mean	VERB
fcis-3754	185	32	clustering	cluster	VERB
fcis-3754	185	33	algorithm	algorithm	NOUN
fcis-3754	185	34	too	too	ADV
fcis-3754	185	35	.	.	PUNCT
fcis-3754	186	1	2.4	2.4	NUM
fcis-3754	186	2	.	.	PUNCT
fcis-3754	186	3	evaluation	evaluation	NOUN
fcis-3754	186	4	indexes	index	NOUN
fcis-3754	186	5	there	there	PRON
fcis-3754	186	6	are	be	VERB
fcis-3754	186	7	several	several	ADJ
fcis-3754	186	8	evaluation	evaluation	NOUN
fcis-3754	186	9	indexes	index	NOUN
fcis-3754	186	10	to	to	PART
fcis-3754	186	11	provide	provide	VERB
fcis-3754	186	12	validity	validity	NOUN
fcis-3754	186	13	measures	measure	NOUN
fcis-3754	186	14	for	for	ADP
fcis-3754	186	15	each	each	DET
fcis-3754	186	16	classification	classification	NOUN
fcis-3754	186	17	in	in	ADP
fcis-3754	186	18	order	order	NOUN
fcis-3754	186	19	to	to	PART
fcis-3754	186	20	specify	specify	VERB
fcis-3754	186	21	the	the	DET
fcis-3754	186	22	best	good	ADJ
fcis-3754	186	23	number	number	NOUN
fcis-3754	186	24	of	of	ADP
fcis-3754	186	25	clusters	cluster	NOUN
fcis-3754	186	26	and	and	CCONJ
fcis-3754	186	27	also	also	ADV
fcis-3754	186	28	evaluate	evaluate	VERB
fcis-3754	186	29	the	the	DET
fcis-3754	186	30	performance	performance	NOUN
fcis-3754	186	31	of	of	ADP
fcis-3754	186	32	clustering	clustering	ADJ
fcis-3754	186	33	methods	method	NOUN
fcis-3754	186	34	.	.	PUNCT
fcis-3754	187	1	the	the	DET
fcis-3754	187	2	evaluation	evaluation	NOUN
fcis-3754	187	3	indexes	index	NOUN
fcis-3754	187	4	can	can	AUX
fcis-3754	187	5	also	also	ADV
fcis-3754	187	6	provide	provide	VERB
fcis-3754	187	7	a	a	DET
fcis-3754	187	8	clear	clear	ADJ
fcis-3754	187	9	line	line	NOUN
fcis-3754	187	10	chart	chart	NOUN
fcis-3754	187	11	that	that	PRON
fcis-3754	187	12	shows	show	VERB
fcis-3754	187	13	the	the	DET
fcis-3754	187	14	performance	performance	NOUN
fcis-3754	187	15	of	of	ADP
fcis-3754	187	16	each	each	DET
fcis-3754	187	17	clustering	clustering	ADJ
fcis-3754	187	18	method	method	NOUN
fcis-3754	187	19	.	.	PUNCT
fcis-3754	188	1	one	one	NUM
fcis-3754	188	2	of	of	ADP
fcis-3754	188	3	the	the	DET
fcis-3754	188	4	simplest	simple	ADJ
fcis-3754	188	5	way	way	NOUN
fcis-3754	188	6	is	be	AUX
fcis-3754	188	7	to	to	PART
fcis-3754	188	8	use	use	VERB
fcis-3754	188	9	the	the	DET
fcis-3754	188	10	list	list	NOUN
fcis-3754	188	11	index	index	NOUN
fcis-3754	188	12	which	which	PRON
fcis-3754	188	13	is	be	AUX
fcis-3754	188	14	defined	define	VERB
fcis-3754	188	15	by	by	ADP
fcis-3754	188	16	wang	wang	PROPN
fcis-3754	188	17	y	y	PROPN
fcis-3754	188	18	f	f	PROPN
fcis-3754	188	19	,	,	PUNCT
fcis-3754	188	20	chuang	chuang	PROPN
fcis-3754	188	21	y	y	PROPN
fcis-3754	188	22	l	l	PROPN
fcis-3754	188	23	and	and	CCONJ
fcis-3754	188	24	hsu	hsu	PROPN
fcis-3754	188	25	m	m	PROPN
fcis-3754	188	26	h	h	NOUN
fcis-3754	188	27	in	in	ADP
fcis-3754	188	28	2004	2004	NUM
fcis-3754	188	29	[	[	X
fcis-3754	188	30	50	50	NUM
fcis-3754	188	31	]	]	PUNCT
fcis-3754	188	32	.	.	PUNCT
fcis-3754	189	1	there	there	PRON
fcis-3754	189	2	are	be	VERB
fcis-3754	189	3	also	also	ADV
fcis-3754	189	4	various	various	ADJ
fcis-3754	189	5	slightly	slightly	ADV
fcis-3754	189	6	more	more	ADV
fcis-3754	189	7	complex	complex	ADJ
fcis-3754	189	8	evaluation	evaluation	NOUN
fcis-3754	189	9	indexes	index	NOUN
fcis-3754	189	10	and	and	CCONJ
fcis-3754	189	11	functions	function	NOUN
fcis-3754	189	12	.	.	PUNCT
fcis-3754	190	1	the	the	DET
fcis-3754	190	2	calinski	calinski	NOUN
fcis-3754	190	3	criterion	criterion	NOUN
fcis-3754	190	4	defined	define	VERB
fcis-3754	190	5	by	by	ADP
fcis-3754	190	6	shu	shu	PROPN
fcis-3754	190	7	g	g	PROPN
fcis-3754	190	8	,	,	PUNCT
fcis-3754	190	9	zeng	zeng	PROPN
fcis-3754	190	10	b	b	PROPN
fcis-3754	190	11	,	,	PUNCT
fcis-3754	190	12	chen	chen	PROPN
fcis-3754	190	13	y	y	PROPN
fcis-3754	190	14	p	p	PROPN
fcis-3754	190	15	in	in	ADP
fcis-3754	190	16	2003	2003	NUM
fcis-3754	190	17	calculates	calculate	VERB
fcis-3754	190	18	the	the	DET
fcis-3754	190	19	similarity	similarity	NOUN
fcis-3754	190	20	of	of	ADP
fcis-3754	190	21	data	datum	NOUN
fcis-3754	190	22	points	point	NOUN
fcis-3754	190	23	which	which	PRON
fcis-3754	190	24	are	be	AUX
fcis-3754	190	25	within	within	ADP
fcis-3754	190	26	the	the	DET
fcis-3754	190	27	same	same	ADJ
fcis-3754	190	28	cluster	cluster	NOUN
fcis-3754	190	29	and	and	CCONJ
fcis-3754	190	30	the	the	DET
fcis-3754	190	31	dissimilarity	dissimilarity	NOUN
fcis-3754	190	32	of	of	ADP
fcis-3754	190	33	those	those	PRON
fcis-3754	190	34	who	who	PRON
fcis-3754	190	35	are	be	AUX
fcis-3754	190	36	not	not	PART
fcis-3754	190	37	in	in	ADP
fcis-3754	190	38	the	the	DET
fcis-3754	190	39	same	same	ADJ
fcis-3754	190	40	cluster	cluster	NOUN
fcis-3754	190	41	in	in	ADP
fcis-3754	190	42	36	36	NUM
fcis-3754	190	43	order	order	NOUN
fcis-3754	190	44	to	to	PART
fcis-3754	190	45	evaluate	evaluate	VERB
fcis-3754	190	46	the	the	DET
fcis-3754	190	47	clustering	clustering	ADJ
fcis-3754	190	48	method	method	NOUN
fcis-3754	190	49	[	[	X
fcis-3754	190	50	51	51	NUM
fcis-3754	190	51	]	]	PUNCT
fcis-3754	190	52	.	.	PUNCT
fcis-3754	191	1	the	the	DET
fcis-3754	191	2	davies	davies	PROPN
fcis-3754	191	3	bouldin	bouldin	PROPN
fcis-3754	191	4	index	index	NOUN
fcis-3754	191	5	defined	define	VERB
fcis-3754	191	6	by	by	ADP
fcis-3754	191	7	kasturi	kasturi	PROPN
fcis-3754	191	8	j	j	PROPN
fcis-3754	191	9	,	,	PUNCT
fcis-3754	191	10	acharya	acharya	PROPN
fcis-3754	191	11	r	r	NOUN
fcis-3754	191	12	,	,	PUNCT
fcis-3754	191	13	ramanathan	ramanathan	PROPN
fcis-3754	191	14	m	m	VERB
fcis-3754	191	15	in	in	ADP
fcis-3754	191	16	2003	2003	NUM
fcis-3754	191	17	and	and	CCONJ
fcis-3754	191	18	the	the	DET
fcis-3754	191	19	silhouetee	silhouetee	ADJ
fcis-3754	191	20	index	index	NOUN
fcis-3754	191	21	defined	define	VERB
fcis-3754	191	22	by	by	ADP
fcis-3754	191	23	chen	chen	PROPN
fcis-3754	191	24	g	g	PROPN
fcis-3754	191	25	,	,	PUNCT
fcis-3754	191	26	jaradat	jaradat	PROPN
fcis-3754	191	27	s	s	PROPN
fcis-3754	191	28	a	a	PRON
fcis-3754	191	29	,	,	PUNCT
fcis-3754	191	30	banerjee	banerjee	PROPN
fcis-3754	191	31	n	n	NOUN
fcis-3754	191	32	in	in	ADP
fcis-3754	191	33	2002	2002	NUM
fcis-3754	191	34	are	be	AUX
fcis-3754	191	35	also	also	ADV
fcis-3754	191	36	two	two	NUM
fcis-3754	191	37	useful	useful	ADJ
fcis-3754	191	38	indexes	index	NOUN
fcis-3754	192	1	[	[	X
fcis-3754	192	2	52][53	52][53	NUM
fcis-3754	192	3	]	]	PUNCT
fcis-3754	192	4	.	.	PUNCT
fcis-3754	193	1	there	there	PRON
fcis-3754	193	2	are	be	VERB
fcis-3754	193	3	also	also	ADV
fcis-3754	193	4	dunn	dunn	PROPN
fcis-3754	193	5	’s	’s	PART
fcis-3754	193	6	index	index	NOUN
fcis-3754	193	7	defined	define	VERB
fcis-3754	193	8	by	by	ADP
fcis-3754	193	9	bezdek	bezdek	PROPN
fcis-3754	193	10	j	j	PROPN
fcis-3754	193	11	c	c	PROPN
fcis-3754	193	12	,	,	PUNCT
fcis-3754	193	13	pal	pal	NOUN
fcis-3754	193	14	n	n	CCONJ
fcis-3754	193	15	r	r	NOUN
fcis-3754	193	16	in	in	ADP
fcis-3754	193	17	1995	1995	NUM
fcis-3754	193	18	,	,	PUNCT
fcis-3754	193	19	krzanowski	krzanowski	PROPN
fcis-3754	193	20	lai	lai	PROPN
fcis-3754	193	21	index	index	PROPN
fcis-3754	193	22	,	,	PUNCT
fcis-3754	193	23	alternative	alternative	ADJ
fcis-3754	193	24	dunn	dunn	PROPN
fcis-3754	193	25	index	index	PROPN
fcis-3754	193	26	,	,	PUNCT
fcis-3754	193	27	xie	xie	PROPN
fcis-3754	193	28	and	and	CCONJ
fcis-3754	193	29	beni	beni	PROPN
fcis-3754	193	30	’s	’s	PART
fcis-3754	193	31	index	index	NOUN
fcis-3754	193	32	,	,	PUNCT
fcis-3754	193	33	partition	partition	NOUN
fcis-3754	193	34	index	index	NOUN
fcis-3754	193	35	,	,	PUNCT
fcis-3754	193	36	separation	separation	NOUN
fcis-3754	193	37	index	index	NOUN
fcis-3754	193	38	(	(	PUNCT
fcis-3754	193	39	raghuvanshi	raghuvanshi	VERB
fcis-3754	193	40	a	a	DET
fcis-3754	193	41	s	s	PROPN
fcis-3754	193	42	,	,	PUNCT
fcis-3754	193	43	tiwari	tiwari	PROPN
fcis-3754	193	44	s	s	PART
fcis-3754	193	45	,	,	PUNCT
fcis-3754	193	46	tripathi	tripathi	PROPN
fcis-3754	193	47	r	r	PROPN
fcis-3754	193	48	,	,	PUNCT
fcis-3754	193	49	2009	2009	NUM
fcis-3754	193	50	)	)	PUNCT
fcis-3754	194	1	[	[	X
fcis-3754	194	2	54][55	54][55	NUM
fcis-3754	194	3	]	]	PUNCT
fcis-3754	194	4	.	.	PUNCT
fcis-3754	195	1	because	because	SCONJ
fcis-3754	195	2	some	some	PRON
fcis-3754	195	3	of	of	ADP
fcis-3754	195	4	the	the	DET
fcis-3754	195	5	indexes	index	NOUN
fcis-3754	195	6	have	have	VERB
fcis-3754	195	7	similar	similar	ADJ
fcis-3754	195	8	functions	function	NOUN
fcis-3754	195	9	,	,	PUNCT
fcis-3754	195	10	the	the	DET
fcis-3754	195	11	project	project	NOUN
fcis-3754	195	12	selects	select	VERB
fcis-3754	195	13	several	several	ADJ
fcis-3754	195	14	typical	typical	ADJ
fcis-3754	195	15	indexes	index	NOUN
fcis-3754	195	16	among	among	ADP
fcis-3754	195	17	them	they	PRON
fcis-3754	195	18	.	.	PUNCT
fcis-3754	196	1	2.5	2.5	NUM
fcis-3754	196	2	.	.	PUNCT
fcis-3754	197	1	critical	critical	ADJ
fcis-3754	197	2	analysis	analysis	NOUN
fcis-3754	197	3	as	as	SCONJ
fcis-3754	197	4	there	there	PRON
fcis-3754	197	5	are	be	VERB
fcis-3754	197	6	many	many	ADJ
fcis-3754	197	7	methods	method	NOUN
fcis-3754	197	8	to	to	PART
fcis-3754	197	9	be	be	AUX
fcis-3754	197	10	implemented	implement	VERB
fcis-3754	197	11	for	for	ADP
fcis-3754	197	12	analysis	analysis	NOUN
fcis-3754	197	13	of	of	ADP
fcis-3754	197	14	stock	stock	NOUN
fcis-3754	197	15	price	price	NOUN
fcis-3754	197	16	moving	moving	NOUN
fcis-3754	197	17	,	,	PUNCT
fcis-3754	197	18	but	but	CCONJ
fcis-3754	197	19	there	there	PRON
fcis-3754	197	20	is	be	VERB
fcis-3754	197	21	seldom	seldom	ADV
fcis-3754	197	22	research	research	NOUN
fcis-3754	197	23	of	of	ADP
fcis-3754	197	24	using	use	VERB
fcis-3754	197	25	appropriate	appropriate	ADJ
fcis-3754	197	26	evaluation	evaluation	NOUN
fcis-3754	197	27	indexes	index	NOUN
fcis-3754	197	28	to	to	PART
fcis-3754	197	29	specify	specify	VERB
fcis-3754	197	30	the	the	DET
fcis-3754	197	31	best	good	ADJ
fcis-3754	197	32	number	number	NOUN
fcis-3754	197	33	and	and	CCONJ
fcis-3754	197	34	make	make	VERB
fcis-3754	197	35	evaluation	evaluation	NOUN
fcis-3754	197	36	on	on	ADP
fcis-3754	197	37	the	the	DET
fcis-3754	197	38	clusters	cluster	NOUN
fcis-3754	197	39	of	of	ADP
fcis-3754	197	40	k	k	NOUN
fcis-3754	197	41	-	-	PUNCT
fcis-3754	197	42	means	means	NOUN
fcis-3754	197	43	algorithm	algorithm	NOUN
fcis-3754	197	44	,	,	PUNCT
fcis-3754	197	45	em	em	PRON
fcis-3754	197	46	algorithm	algorithm	NOUN
fcis-3754	197	47	,	,	PUNCT
fcis-3754	197	48	canopy	canopy	NOUN
fcis-3754	197	49	algorithm	algorithm	NOUN
fcis-3754	197	50	+	+	CCONJ
fcis-3754	197	51	k	k	ADJ
fcis-3754	197	52	-	-	PUNCT
fcis-3754	197	53	means	means	NOUN
fcis-3754	197	54	algorithm	algorithm	NOUN
fcis-3754	197	55	on	on	ADP
fcis-3754	197	56	pattern	pattern	NOUN
fcis-3754	197	57	classification	classification	NOUN
fcis-3754	197	58	of	of	ADP
fcis-3754	197	59	stock	stock	NOUN
fcis-3754	197	60	price	price	NOUN
fcis-3754	197	61	moving	moving	NOUN
fcis-3754	197	62	.	.	PUNCT
fcis-3754	198	1	so	so	ADV
fcis-3754	198	2	the	the	DET
fcis-3754	198	3	project	project	NOUN
fcis-3754	198	4	will	will	AUX
fcis-3754	198	5	focus	focus	VERB
fcis-3754	198	6	on	on	ADP
fcis-3754	198	7	implementing	implement	VERB
fcis-3754	198	8	k	k	PROPN
fcis-3754	198	9	-	-	PUNCT
fcis-3754	198	10	means	means	NOUN
fcis-3754	198	11	algorithm	algorithm	NOUN
fcis-3754	198	12	,	,	PUNCT
fcis-3754	198	13	em	em	PRON
fcis-3754	198	14	algorithm	algorithm	NOUN
fcis-3754	198	15	,	,	PUNCT
fcis-3754	198	16	and	and	CCONJ
fcis-3754	198	17	canopy	canopy	NOUN
fcis-3754	198	18	algorithm	algorithm	NOUN
fcis-3754	198	19	to	to	PART
fcis-3754	198	20	make	make	VERB
fcis-3754	198	21	analysis	analysis	NOUN
fcis-3754	198	22	on	on	ADP
fcis-3754	198	23	the	the	DET
fcis-3754	198	24	stock	stock	NOUN
fcis-3754	198	25	price	price	NOUN
fcis-3754	198	26	moving	move	VERB
fcis-3754	198	27	data	datum	NOUN
fcis-3754	198	28	.	.	PUNCT
fcis-3754	199	1	in	in	ADP
fcis-3754	199	2	this	this	DET
fcis-3754	199	3	project	project	NOUN
fcis-3754	199	4	,	,	PUNCT
fcis-3754	199	5	the	the	DET
fcis-3754	199	6	calinski	calinski	PROPN
fcis-3754	199	7	criterion	criterion	NOUN
fcis-3754	199	8	index	index	NOUN
fcis-3754	199	9	,	,	PUNCT
fcis-3754	199	10	davies	davies	PROPN
fcis-3754	199	11	bouldin	bouldin	PROPN
fcis-3754	199	12	index	index	PROPN
fcis-3754	199	13	,	,	PUNCT
fcis-3754	199	14	silhouetee	silhouetee	ADJ
fcis-3754	199	15	index	index	NOUN
fcis-3754	199	16	and	and	CCONJ
fcis-3754	199	17	gap	gap	NOUN
fcis-3754	199	18	index	index	NOUN
fcis-3754	199	19	are	be	AUX
fcis-3754	199	20	implemented	implement	VERB
fcis-3754	199	21	in	in	ADP
fcis-3754	199	22	the	the	DET
fcis-3754	199	23	project	project	NOUN
fcis-3754	199	24	to	to	PART
fcis-3754	199	25	specify	specify	VERB
fcis-3754	199	26	the	the	DET
fcis-3754	199	27	best	good	ADJ
fcis-3754	199	28	number	number	NOUN
fcis-3754	199	29	of	of	ADP
fcis-3754	199	30	clusters	cluster	NOUN
fcis-3754	199	31	of	of	ADP
fcis-3754	199	32	k	k	NOUN
fcis-3754	199	33	-	-	PUNCT
fcis-3754	199	34	means	means	NOUN
fcis-3754	199	35	algorithm	algorithm	NOUN
fcis-3754	199	36	.	.	PUNCT
fcis-3754	200	1	the	the	DET
fcis-3754	200	2	log	log	NOUN
fcis-3754	200	3	likelihood	likelihood	NOUN
fcis-3754	200	4	index	index	NOUN
fcis-3754	200	5	is	be	AUX
fcis-3754	200	6	used	use	VERB
fcis-3754	200	7	to	to	PART
fcis-3754	200	8	specify	specify	VERB
fcis-3754	200	9	the	the	DET
fcis-3754	200	10	best	good	ADJ
fcis-3754	200	11	number	number	NOUN
fcis-3754	200	12	of	of	ADP
fcis-3754	200	13	clusters	cluster	NOUN
fcis-3754	200	14	of	of	ADP
fcis-3754	200	15	em	em	PRON
fcis-3754	200	16	clustering	cluster	VERB
fcis-3754	200	17	.	.	PUNCT
fcis-3754	201	1	2.6	2.6	NUM
fcis-3754	201	2	.	.	PUNCT
fcis-3754	201	3	research	research	NOUN
fcis-3754	201	4	procedure	procedure	NOUN
fcis-3754	201	5	the	the	DET
fcis-3754	201	6	first	first	ADJ
fcis-3754	201	7	stage	stage	NOUN
fcis-3754	201	8	is	be	AUX
fcis-3754	201	9	data	datum	NOUN
fcis-3754	201	10	processing	processing	NOUN
fcis-3754	201	11	and	and	CCONJ
fcis-3754	201	12	it	it	PRON
fcis-3754	201	13	has	have	VERB
fcis-3754	201	14	4	4	NUM
fcis-3754	201	15	steps	step	NOUN
fcis-3754	201	16	.	.	PUNCT
fcis-3754	202	1	the	the	DET
fcis-3754	202	2	first	first	ADJ
fcis-3754	202	3	step	step	NOUN
fcis-3754	202	4	is	be	AUX
fcis-3754	202	5	clarifying	clarify	VERB
fcis-3754	202	6	the	the	DET
fcis-3754	202	7	problem	problem	NOUN
fcis-3754	202	8	and	and	CCONJ
fcis-3754	202	9	achieving	achieve	VERB
fcis-3754	202	10	the	the	DET
fcis-3754	202	11	data	datum	NOUN
fcis-3754	202	12	and	and	CCONJ
fcis-3754	202	13	it	it	PRON
fcis-3754	202	14	means	mean	VERB
fcis-3754	202	15	that	that	SCONJ
fcis-3754	202	16	achieving	achieve	VERB
fcis-3754	202	17	the	the	DET
fcis-3754	202	18	relational	relational	ADJ
fcis-3754	202	19	data	datum	NOUN
fcis-3754	202	20	for	for	ADP
fcis-3754	202	21	concrete	concrete	ADJ
fcis-3754	202	22	analysis	analysis	NOUN
fcis-3754	202	23	based	base	VERB
fcis-3754	202	24	on	on	ADP
fcis-3754	202	25	the	the	DET
fcis-3754	202	26	specific	specific	ADJ
fcis-3754	202	27	problem	problem	NOUN
fcis-3754	202	28	.	.	PUNCT
fcis-3754	203	1	the	the	DET
fcis-3754	203	2	second	second	ADJ
fcis-3754	203	3	step	step	NOUN
fcis-3754	203	4	is	be	AUX
fcis-3754	203	5	tools	tool	NOUN
fcis-3754	203	6	select	select	ADJ
fcis-3754	203	7	.	.	PUNCT
fcis-3754	204	1	in	in	ADP
fcis-3754	204	2	this	this	DET
fcis-3754	204	3	project	project	NOUN
fcis-3754	204	4	,	,	PUNCT
fcis-3754	204	5	the	the	DET
fcis-3754	204	6	matlab	matlab	PROPN
fcis-3754	204	7	,	,	PUNCT
fcis-3754	204	8	weka	weka	NOUN
fcis-3754	204	9	3	3	NUM
fcis-3754	204	10	are	be	AUX
fcis-3754	204	11	chosen	choose	VERB
fcis-3754	204	12	as	as	ADP
fcis-3754	204	13	main	main	ADJ
fcis-3754	204	14	softwares	software	NOUN
fcis-3754	204	15	.	.	PUNCT
fcis-3754	205	1	the	the	DET
fcis-3754	205	2	third	third	ADJ
fcis-3754	205	3	step	step	NOUN
fcis-3754	205	4	is	be	AUX
fcis-3754	205	5	data	datum	NOUN
fcis-3754	205	6	process	process	NOUN
fcis-3754	205	7	method	method	NOUN
fcis-3754	205	8	selection	selection	NOUN
fcis-3754	205	9	.	.	PUNCT
fcis-3754	206	1	as	as	SCONJ
fcis-3754	206	2	it	it	PRON
fcis-3754	206	3	is	be	AUX
fcis-3754	206	4	shown	show	VERB
fcis-3754	206	5	in	in	ADP
fcis-3754	206	6	the	the	DET
fcis-3754	206	7	research	research	NOUN
fcis-3754	206	8	procedure	procedure	NOUN
fcis-3754	206	9	,	,	PUNCT
fcis-3754	206	10	the	the	DET
fcis-3754	206	11	kmeans	kmean	NOUN
fcis-3754	206	12	,	,	PUNCT
fcis-3754	206	13	em	em	PRON
fcis-3754	206	14	and	and	CCONJ
fcis-3754	206	15	canopy	canopy	NOUN
fcis-3754	206	16	clustering	cluster	VERB
fcis-3754	206	17	algorithm	algorithm	NOUN
fcis-3754	206	18	are	be	AUX
fcis-3754	206	19	chosen	choose	VERB
fcis-3754	206	20	as	as	ADP
fcis-3754	206	21	the	the	DET
fcis-3754	206	22	main	main	ADJ
fcis-3754	206	23	analysis	analysis	NOUN
fcis-3754	206	24	methods	method	NOUN
fcis-3754	206	25	and	and	CCONJ
fcis-3754	206	26	it	it	PRON
fcis-3754	206	27	is	be	AUX
fcis-3754	206	28	discussed	discuss	VERB
fcis-3754	206	29	in	in	ADP
fcis-3754	206	30	the	the	DET
fcis-3754	206	31	later	later	ADJ
fcis-3754	206	32	part	part	NOUN
fcis-3754	206	33	that	that	SCONJ
fcis-3754	206	34	the	the	DET
fcis-3754	206	35	calinsky	calinsky	NOUN
fcis-3754	206	36	criterion	criterion	NOUN
fcis-3754	206	37	,	,	PUNCT
fcis-3754	206	38	davies	davies	PROPN
fcis-3754	206	39	bouldin	bouldin	PROPN
fcis-3754	206	40	index	index	PROPN
fcis-3754	206	41	,	,	PUNCT
fcis-3754	206	42	gap	gap	NOUN
fcis-3754	206	43	index	index	NOUN
fcis-3754	206	44	,	,	PUNCT
fcis-3754	206	45	silhouette	silhouette	NOUN
fcis-3754	206	46	index	index	NOUN
fcis-3754	206	47	and	and	CCONJ
fcis-3754	206	48	log	log	NOUN
fcis-3754	206	49	likelihood	likelihood	NOUN
fcis-3754	206	50	index	index	NOUN
fcis-3754	206	51	are	be	AUX
fcis-3754	206	52	chosen	choose	VERB
fcis-3754	206	53	to	to	PART
fcis-3754	206	54	be	be	AUX
fcis-3754	206	55	the	the	DET
fcis-3754	206	56	evaluation	evaluation	NOUN
fcis-3754	206	57	indexes	index	NOUN
fcis-3754	206	58	.	.	PUNCT
fcis-3754	207	1	the	the	DET
fcis-3754	207	2	fourth	fourth	ADJ
fcis-3754	207	3	step	step	NOUN
fcis-3754	207	4	is	be	AUX
fcis-3754	207	5	data	datum	NOUN
fcis-3754	207	6	normalization	normalization	NOUN
fcis-3754	207	7	and	and	CCONJ
fcis-3754	207	8	it	it	PRON
fcis-3754	207	9	means	mean	VERB
fcis-3754	207	10	that	that	SCONJ
fcis-3754	207	11	both	both	PRON
fcis-3754	207	12	doing	do	VERB
fcis-3754	207	13	normalization	normalization	NOUN
fcis-3754	207	14	on	on	ADP
fcis-3754	207	15	the	the	DET
fcis-3754	207	16	original	original	ADJ
fcis-3754	207	17	data	datum	NOUN
fcis-3754	207	18	and	and	CCONJ
fcis-3754	207	19	eliminating	eliminate	VERB
fcis-3754	207	20	incomparability	incomparability	NOUN
fcis-3754	207	21	which	which	PRON
fcis-3754	207	22	is	be	AUX
fcis-3754	207	23	derived	derive	VERB
fcis-3754	207	24	from	from	ADP
fcis-3754	207	25	the	the	DET
fcis-3754	207	26	difference	difference	NOUN
fcis-3754	207	27	between	between	ADP
fcis-3754	207	28	indexes	index	NOUN
fcis-3754	207	29	.	.	PUNCT
fcis-3754	208	1	after	after	ADP
fcis-3754	208	2	the	the	DET
fcis-3754	208	3	first	first	ADJ
fcis-3754	208	4	stage	stage	NOUN
fcis-3754	208	5	,	,	PUNCT
fcis-3754	208	6	the	the	DET
fcis-3754	208	7	original	original	ADJ
fcis-3754	208	8	data	datum	NOUN
fcis-3754	208	9	has	have	AUX
fcis-3754	208	10	been	be	AUX
fcis-3754	208	11	transformed	transform	VERB
fcis-3754	208	12	into	into	ADP
fcis-3754	208	13	a	a	DET
fcis-3754	208	14	data	data	NOUN
fcis-3754	208	15	set	set	VERB
fcis-3754	208	16	(	(	PUNCT
fcis-3754	208	17	matrix	matrix	NOUN
fcis-3754	208	18	)	)	PUNCT
fcis-3754	208	19	which	which	PRON
fcis-3754	208	20	is	be	AUX
fcis-3754	208	21	easily	easily	ADV
fcis-3754	208	22	to	to	PART
fcis-3754	208	23	be	be	AUX
fcis-3754	208	24	used	use	VERB
fcis-3754	208	25	to	to	PART
fcis-3754	208	26	implement	implement	VERB
fcis-3754	208	27	clustering	clustering	NOUN
fcis-3754	208	28	method	method	NOUN
fcis-3754	208	29	in	in	ADP
fcis-3754	208	30	programs	program	NOUN
fcis-3754	208	31	.	.	PUNCT
fcis-3754	209	1	the	the	DET
fcis-3754	209	2	second	second	ADJ
fcis-3754	209	3	stage	stage	NOUN
fcis-3754	209	4	is	be	AUX
fcis-3754	209	5	implementing	implement	VERB
fcis-3754	209	6	clustering	clustering	ADJ
fcis-3754	209	7	algorithms	algorithm	NOUN
fcis-3754	209	8	and	and	CCONJ
fcis-3754	209	9	it	it	PRON
fcis-3754	209	10	has	have	VERB
fcis-3754	209	11	3	3	NUM
fcis-3754	209	12	parts	part	NOUN
fcis-3754	209	13	running	run	VERB
fcis-3754	209	14	at	at	ADP
fcis-3754	209	15	the	the	DET
fcis-3754	209	16	same	same	ADJ
fcis-3754	209	17	time	time	NOUN
fcis-3754	209	18	that	that	PRON
fcis-3754	209	19	each	each	DET
fcis-3754	209	20	part	part	NOUN
fcis-3754	209	21	is	be	AUX
fcis-3754	209	22	independent	independent	ADJ
fcis-3754	209	23	from	from	ADP
fcis-3754	209	24	each	each	DET
fcis-3754	209	25	other	other	ADJ
fcis-3754	209	26	.	.	PUNCT
fcis-3754	210	1	the	the	DET
fcis-3754	210	2	first	first	ADJ
fcis-3754	210	3	part	part	NOUN
fcis-3754	210	4	is	be	AUX
fcis-3754	210	5	k	k	NOUN
fcis-3754	210	6	-	-	PUNCT
fcis-3754	210	7	means	mean	VERB
fcis-3754	210	8	analysis	analysis	NOUN
fcis-3754	210	9	and	and	CCONJ
fcis-3754	210	10	it	it	PRON
fcis-3754	210	11	means	mean	VERB
fcis-3754	210	12	that	that	SCONJ
fcis-3754	210	13	using	use	VERB
fcis-3754	210	14	k	k	NOUN
fcis-3754	210	15	-	-	PUNCT
fcis-3754	210	16	means	means	NOUN
fcis-3754	210	17	to	to	PART
fcis-3754	210	18	do	do	AUX
fcis-3754	210	19	clustering	cluster	VERB
fcis-3754	210	20	on	on	ADP
fcis-3754	210	21	the	the	DET
fcis-3754	210	22	data	data	NOUN
fcis-3754	210	23	matrix	matrix	NOUN
fcis-3754	210	24	after	after	ADP
fcis-3754	210	25	pre	pre	ADJ
fcis-3754	210	26	-	-	ADJ
fcis-3754	210	27	processing	processing	NOUN
fcis-3754	210	28	and	and	CCONJ
fcis-3754	210	29	record	record	VERB
fcis-3754	210	30	the	the	DET
fcis-3754	210	31	results	result	NOUN
fcis-3754	210	32	.	.	PUNCT
fcis-3754	211	1	the	the	DET
fcis-3754	211	2	second	second	ADJ
fcis-3754	211	3	part	part	NOUN
fcis-3754	211	4	is	be	AUX
fcis-3754	211	5	em	em	PRON
fcis-3754	211	6	analysis	analysis	NOUN
fcis-3754	211	7	and	and	CCONJ
fcis-3754	211	8	it	it	PRON
fcis-3754	211	9	means	mean	VERB
fcis-3754	211	10	that	that	SCONJ
fcis-3754	211	11	implementing	implement	VERB
fcis-3754	211	12	em	em	PRON
fcis-3754	211	13	clustering	cluster	VERB
fcis-3754	211	14	method	method	NOUN
fcis-3754	211	15	on	on	ADP
fcis-3754	211	16	the	the	DET
fcis-3754	211	17	data	datum	NOUN
fcis-3754	211	18	matrix	matrix	NOUN
fcis-3754	211	19	.	.	PUNCT
fcis-3754	212	1	the	the	DET
fcis-3754	212	2	third	third	ADJ
fcis-3754	212	3	part	part	NOUN
fcis-3754	212	4	is	be	AUX
fcis-3754	212	5	canopy	canopy	NOUN
fcis-3754	212	6	+	+	CCONJ
fcis-3754	212	7	k	k	X
fcis-3754	212	8	-	-	PUNCT
fcis-3754	212	9	means	mean	VERB
fcis-3754	212	10	analysis	analysis	NOUN
fcis-3754	213	1	and	and	CCONJ
fcis-3754	213	2	it	it	PRON
fcis-3754	213	3	means	mean	VERB
fcis-3754	213	4	using	use	VERB
fcis-3754	213	5	the	the	DET
fcis-3754	213	6	canopy	canopy	NOUN
fcis-3754	213	7	algorithm	algorithm	NOUN
fcis-3754	213	8	to	to	PART
fcis-3754	213	9	calculate	calculate	VERB
fcis-3754	213	10	the	the	DET
fcis-3754	213	11	best	good	ADJ
fcis-3754	213	12	number	number	NOUN
fcis-3754	213	13	of	of	ADP
fcis-3754	213	14	clusters	cluster	NOUN
fcis-3754	213	15	and	and	CCONJ
fcis-3754	213	16	initial	initial	ADJ
fcis-3754	213	17	clusters	cluster	NOUN
fcis-3754	213	18	which	which	PRON
fcis-3754	213	19	can	can	AUX
fcis-3754	213	20	be	be	AUX
fcis-3754	213	21	used	use	VERB
fcis-3754	213	22	in	in	ADP
fcis-3754	213	23	the	the	DET
fcis-3754	213	24	k	k	NOUN
fcis-3754	213	25	-	-	PUNCT
fcis-3754	213	26	means	means	NOUN
fcis-3754	213	27	algorithm	algorithm	NOUN
fcis-3754	213	28	.	.	PUNCT
fcis-3754	214	1	the	the	DET
fcis-3754	214	2	third	third	ADJ
fcis-3754	214	3	stage	stage	NOUN
fcis-3754	214	4	is	be	AUX
fcis-3754	214	5	experiment	experiment	NOUN
fcis-3754	214	6	results	result	VERB
fcis-3754	214	7	analysis	analysis	NOUN
fcis-3754	214	8	and	and	CCONJ
fcis-3754	214	9	evaluation	evaluation	NOUN
fcis-3754	214	10	,	,	PUNCT
fcis-3754	214	11	that	that	SCONJ
fcis-3754	214	12	the	the	DET
fcis-3754	214	13	k	k	NOUN
fcis-3754	214	14	-	-	PUNCT
fcis-3754	214	15	means	means	PROPN
fcis-3754	214	16	,	,	PUNCT
fcis-3754	214	17	em	em	PRON
fcis-3754	214	18	clustering	cluster	VERB
fcis-3754	214	19	methods	method	NOUN
fcis-3754	214	20	and	and	CCONJ
fcis-3754	214	21	canopy	canopy	NOUN
fcis-3754	214	22	+	+	CCONJ
fcis-3754	214	23	k	k	ADJ
fcis-3754	214	24	-	-	PUNCT
fcis-3754	214	25	means	means	NOUN
fcis-3754	214	26	algorithm	algorithm	NOUN
fcis-3754	214	27	are	be	AUX
fcis-3754	214	28	three	three	NUM
fcis-3754	214	29	main	main	ADJ
fcis-3754	214	30	parts	part	NOUN
fcis-3754	214	31	of	of	ADP
fcis-3754	214	32	evaluation	evaluation	NOUN
fcis-3754	214	33	.	.	PUNCT
fcis-3754	215	1	because	because	SCONJ
fcis-3754	215	2	clustering	cluster	VERB
fcis-3754	215	3	for	for	ADP
fcis-3754	215	4	stock	stock	NOUN
fcis-3754	215	5	market	market	NOUN
fcis-3754	215	6	price	price	NOUN
fcis-3754	215	7	moving	move	VERB
fcis-3754	215	8	is	be	AUX
fcis-3754	215	9	an	an	DET
fcis-3754	215	10	unsupervised	unsupervised	ADJ
fcis-3754	215	11	learning	learning	NOUN
fcis-3754	215	12	problem	problem	NOUN
fcis-3754	215	13	,	,	PUNCT
fcis-3754	215	14	it	it	PRON
fcis-3754	215	15	is	be	AUX
fcis-3754	215	16	difficult	difficult	ADJ
fcis-3754	215	17	to	to	PART
fcis-3754	215	18	demonstrably	demonstrably	ADV
fcis-3754	215	19	prove	prove	VERB
fcis-3754	215	20	that	that	SCONJ
fcis-3754	215	21	for	for	ADP
fcis-3754	215	22	example	example	NOUN
fcis-3754	215	23	,	,	PUNCT
fcis-3754	215	24	which	which	DET
fcis-3754	215	25	one	one	NUM
fcis-3754	215	26	of	of	ADP
fcis-3754	215	27	k	k	NOUN
fcis-3754	215	28	-	-	PUNCT
fcis-3754	215	29	means	mean	NOUN
fcis-3754	215	30	and	and	CCONJ
fcis-3754	215	31	em	em	PRON
fcis-3754	215	32	clustering	cluster	VERB
fcis-3754	215	33	method	method	NOUN
fcis-3754	215	34	is	be	AUX
fcis-3754	215	35	more	more	ADV
fcis-3754	215	36	accurate	accurate	ADJ
fcis-3754	215	37	than	than	ADP
fcis-3754	215	38	the	the	DET
fcis-3754	215	39	other	other	ADJ
fcis-3754	215	40	one	one	NUM
fcis-3754	215	41	.	.	PUNCT
fcis-3754	216	1	the	the	DET
fcis-3754	216	2	indexes	index	NOUN
fcis-3754	216	3	for	for	ADP
fcis-3754	216	4	evaluation	evaluation	NOUN
fcis-3754	216	5	on	on	ADP
fcis-3754	216	6	the	the	DET
fcis-3754	216	7	performance	performance	NOUN
fcis-3754	216	8	of	of	ADP
fcis-3754	216	9	k	k	NOUN
fcis-3754	216	10	-	-	PUNCT
fcis-3754	216	11	means	means	NOUN
fcis-3754	216	12	algorithm	algorithm	NOUN
fcis-3754	216	13	,	,	PUNCT
fcis-3754	216	14	em	em	PRON
fcis-3754	216	15	algorithm	algorithm	NOUN
fcis-3754	216	16	,	,	PUNCT
fcis-3754	216	17	and	and	CCONJ
fcis-3754	216	18	canopy	canopy	NOUN
fcis-3754	216	19	plus	plus	CCONJ
fcis-3754	216	20	k	k	NOUN
fcis-3754	216	21	-	-	PUNCT
fcis-3754	216	22	means	means	NOUN
fcis-3754	216	23	method	method	NOUN
fcis-3754	216	24	are	be	AUX
fcis-3754	216	25	calinsky	calinsky	NOUN
fcis-3754	216	26	criterion	criterion	NOUN
fcis-3754	216	27	,	,	PUNCT
fcis-3754	216	28	davies	davies	PROPN
fcis-3754	216	29	bouldin	bouldin	PROPN
fcis-3754	216	30	index	index	PROPN
fcis-3754	216	31	,	,	PUNCT
fcis-3754	216	32	gap	gap	NOUN
fcis-3754	216	33	index	index	NOUN
fcis-3754	216	34	,	,	PUNCT
fcis-3754	216	35	silhouette	silhouette	NOUN
fcis-3754	216	36	index	index	NOUN
fcis-3754	216	37	.	.	PUNCT
fcis-3754	217	1	the	the	DET
fcis-3754	217	2	same	same	ADJ
fcis-3754	217	3	indexes	index	NOUN
fcis-3754	217	4	are	be	AUX
fcis-3754	217	5	used	use	VERB
fcis-3754	217	6	to	to	PART
fcis-3754	217	7	specify	specify	VERB
fcis-3754	217	8	the	the	DET
fcis-3754	217	9	best	good	ADJ
fcis-3754	217	10	number	number	NOUN
fcis-3754	217	11	of	of	ADP
fcis-3754	217	12	clusters	cluster	NOUN
fcis-3754	217	13	of	of	ADP
fcis-3754	217	14	k	k	NOUN
fcis-3754	217	15	-	-	PUNCT
fcis-3754	217	16	means	means	NOUN
fcis-3754	217	17	algorithm	algorithm	NOUN
fcis-3754	217	18	and	and	CCONJ
fcis-3754	217	19	canopy	canopy	NOUN
fcis-3754	217	20	plus	plus	CCONJ
fcis-3754	217	21	k	k	ADJ
fcis-3754	217	22	-	-	PUNCT
fcis-3754	217	23	means	means	NOUN
fcis-3754	217	24	algorithm	algorithm	NOUN
fcis-3754	217	25	too	too	ADV
fcis-3754	217	26	.	.	PUNCT
fcis-3754	218	1	different	different	ADJ
fcis-3754	218	2	from	from	ADP
fcis-3754	218	3	them	they	PRON
fcis-3754	218	4	,	,	PUNCT
fcis-3754	218	5	the	the	DET
fcis-3754	218	6	index	index	NOUN
fcis-3754	218	7	to	to	PART
fcis-3754	218	8	specify	specify	VERB
fcis-3754	218	9	the	the	DET
fcis-3754	218	10	best	good	ADJ
fcis-3754	218	11	number	number	NOUN
fcis-3754	218	12	of	of	ADP
fcis-3754	218	13	clusters	cluster	NOUN
fcis-3754	218	14	on	on	ADP
fcis-3754	218	15	em	em	PRON
fcis-3754	218	16	method	method	NOUN
fcis-3754	218	17	is	be	AUX
fcis-3754	218	18	log	log	NOUN
fcis-3754	218	19	likelihood	likelihood	NOUN
fcis-3754	218	20	index	index	NOUN
fcis-3754	218	21	.	.	PUNCT
fcis-3754	219	1	the	the	DET
fcis-3754	219	2	time	time	NOUN
fcis-3754	219	3	cost	cost	NOUN
fcis-3754	219	4	is	be	AUX
fcis-3754	219	5	another	another	DET
fcis-3754	219	6	reasonably	reasonably	ADV
fcis-3754	219	7	important	important	ADJ
fcis-3754	219	8	index	index	NOUN
fcis-3754	219	9	for	for	ADP
fcis-3754	219	10	these	these	DET
fcis-3754	219	11	methods	method	NOUN
fcis-3754	219	12	.	.	PUNCT
fcis-3754	220	1	because	because	SCONJ
fcis-3754	220	2	this	this	DET
fcis-3754	220	3	project	project	NOUN
fcis-3754	220	4	involves	involve	VERB
fcis-3754	220	5	an	an	DET
fcis-3754	220	6	unsupervised	unsupervised	ADJ
fcis-3754	220	7	learning	learning	NOUN
fcis-3754	220	8	problem	problem	NOUN
fcis-3754	220	9	,	,	PUNCT
fcis-3754	220	10	the	the	DET
fcis-3754	220	11	clustering	clustering	ADJ
fcis-3754	220	12	results	result	NOUN
fcis-3754	220	13	would	would	AUX
fcis-3754	220	14	have	have	VERB
fcis-3754	220	15	some	some	DET
fcis-3754	220	16	visualization	visualization	NOUN
fcis-3754	220	17	graphs	graph	NOUN
fcis-3754	220	18	which	which	PRON
fcis-3754	220	19	are	be	AUX
fcis-3754	220	20	presented	present	VERB
fcis-3754	220	21	in	in	ADP
fcis-3754	220	22	the	the	DET
fcis-3754	220	23	experiment	experiment	NOUN
fcis-3754	220	24	result	result	VERB
fcis-3754	220	25	analysis	analysis	NOUN
fcis-3754	220	26	and	and	CCONJ
fcis-3754	220	27	evaluation	evaluation	NOUN
fcis-3754	220	28	part	part	NOUN
fcis-3754	220	29	to	to	PART
fcis-3754	220	30	show	show	VERB
fcis-3754	220	31	the	the	DET
fcis-3754	220	32	performance	performance	NOUN
fcis-3754	220	33	of	of	ADP
fcis-3754	220	34	different	different	ADJ
fcis-3754	220	35	clustering	clustering	ADJ
fcis-3754	220	36	methods	method	NOUN
fcis-3754	220	37	.	.	PUNCT
fcis-3754	221	1	3	3	X
fcis-3754	221	2	.	.	NOUN
fcis-3754	221	3	results	result	NOUN
fcis-3754	221	4	and	and	CCONJ
fcis-3754	221	5	evaluation	evaluation	NOUN
fcis-3754	221	6	3.1	3.1	NUM
fcis-3754	221	7	.	.	PUNCT
fcis-3754	222	1	k	k	X
fcis-3754	222	2	–	–	PUNCT
fcis-3754	222	3	means	mean	VERB
fcis-3754	222	4	analysis	analysis	NOUN
fcis-3754	222	5	the	the	DET
fcis-3754	222	6	first	first	ADJ
fcis-3754	222	7	clustering	clustering	ADJ
fcis-3754	222	8	method	method	NOUN
fcis-3754	222	9	is	be	AUX
fcis-3754	222	10	k	k	NOUN
fcis-3754	222	11	-	-	PUNCT
fcis-3754	222	12	means	means	NOUN
fcis-3754	222	13	algorithm	algorithm	NOUN
fcis-3754	222	14	to	to	PART
fcis-3754	222	15	generate	generate	VERB
fcis-3754	222	16	disjoint	disjoint	NOUN
fcis-3754	222	17	and	and	CCONJ
fcis-3754	222	18	homogeneous	homogeneous	ADJ
fcis-3754	222	19	clusters	cluster	NOUN
fcis-3754	222	20	from	from	ADP
fcis-3754	222	21	a	a	DET
fcis-3754	222	22	large	large	ADJ
fcis-3754	222	23	set	set	NOUN
fcis-3754	222	24	of	of	ADP
fcis-3754	222	25	data	datum	NOUN
fcis-3754	222	26	.	.	PUNCT
fcis-3754	223	1	the	the	DET
fcis-3754	223	2	main	main	ADJ
fcis-3754	223	3	process	process	NOUN
fcis-3754	223	4	of	of	ADP
fcis-3754	223	5	k	k	NOUN
fcis-3754	223	6	-	-	PUNCT
fcis-3754	223	7	means	means	NOUN
fcis-3754	223	8	algorithm	algorithm	NOUN
fcis-3754	223	9	is	be	AUX
fcis-3754	223	10	in	in	ADP
fcis-3754	223	11	the	the	DET
fcis-3754	223	12	following	follow	VERB
fcis-3754	223	13	order	order	NOUN
fcis-3754	223	14	.	.	PUNCT
fcis-3754	224	1	in	in	ADP
fcis-3754	224	2	the	the	DET
fcis-3754	224	3	first	first	ADJ
fcis-3754	224	4	step	step	NOUN
fcis-3754	224	5	,	,	PUNCT
fcis-3754	224	6	there	there	PRON
fcis-3754	224	7	are	be	VERB
fcis-3754	224	8	number	number	NOUN
fcis-3754	224	9	k	k	PROPN
fcis-3754	224	10	of	of	ADP
fcis-3754	224	11	initial	initial	ADJ
fcis-3754	224	12	clusters	cluster	NOUN
fcis-3754	224	13	and	and	CCONJ
fcis-3754	224	14	each	each	PRON
fcis-3754	224	15	of	of	ADP
fcis-3754	224	16	them	they	PRON
fcis-3754	224	17	has	have	VERB
fcis-3754	224	18	a	a	DET
fcis-3754	224	19	data	data	NOUN
fcis-3754	224	20	point	point	NOUN
fcis-3754	224	21	which	which	PRON
fcis-3754	224	22	is	be	AUX
fcis-3754	224	23	randomly	randomly	ADV
fcis-3754	224	24	selected	select	VERB
fcis-3754	224	25	from	from	ADP
fcis-3754	224	26	all	all	DET
fcis-3754	224	27	the	the	DET
fcis-3754	224	28	number	number	NOUN
fcis-3754	224	29	n	n	PRON
fcis-3754	224	30	of	of	ADP
fcis-3754	224	31	original	original	ADJ
fcis-3754	224	32	data	data	NOUN
fcis-3754	224	33	points	point	NOUN
fcis-3754	224	34	.	.	PUNCT
fcis-3754	225	1	in	in	ADP
fcis-3754	225	2	this	this	DET
fcis-3754	225	3	step	step	NOUN
fcis-3754	225	4	,	,	PUNCT
fcis-3754	225	5	the	the	DET
fcis-3754	225	6	algorithm	algorithm	NOUN
fcis-3754	225	7	used	use	VERB
fcis-3754	225	8	in	in	ADP
fcis-3754	225	9	randomly	randomly	ADV
fcis-3754	225	10	choosing	choose	VERB
fcis-3754	225	11	data	datum	NOUN
fcis-3754	225	12	point	point	NOUN
fcis-3754	225	13	can	can	AUX
fcis-3754	225	14	be	be	AUX
fcis-3754	225	15	replaced	replace	VERB
fcis-3754	225	16	by	by	ADP
fcis-3754	225	17	some	some	DET
fcis-3754	225	18	other	other	ADJ
fcis-3754	225	19	algorithms	algorithm	NOUN
fcis-3754	225	20	.	.	PUNCT
fcis-3754	226	1	the	the	DET
fcis-3754	226	2	value	value	NOUN
fcis-3754	226	3	of	of	ADP
fcis-3754	226	4	k	k	PROPN
fcis-3754	226	5	is	be	AUX
fcis-3754	226	6	specified	specify	VERB
fcis-3754	226	7	by	by	ADP
fcis-3754	226	8	apriori	apriori	ADJ
fcis-3754	226	9	algorithm	algorithm	NOUN
fcis-3754	226	10	and	and	CCONJ
fcis-3754	226	11	the	the	DET
fcis-3754	226	12	initial	initial	ADJ
fcis-3754	226	13	clusters	cluster	NOUN
fcis-3754	226	14	is	be	AUX
fcis-3754	226	15	generated	generate	VERB
fcis-3754	226	16	by	by	ADP
fcis-3754	226	17	using	use	VERB
fcis-3754	226	18	randomly	randomly	ADJ
fcis-3754	226	19	seed	seed	NOUN
fcis-3754	226	20	to	to	PART
fcis-3754	226	21	call	call	VERB
fcis-3754	226	22	the	the	DET
fcis-3754	226	23	table	table	NOUN
fcis-3754	226	24	of	of	ADP
fcis-3754	226	25	data	datum	NOUN
fcis-3754	226	26	points	point	NOUN
fcis-3754	226	27	.	.	PUNCT
fcis-3754	227	1	in	in	ADP
fcis-3754	227	2	the	the	DET
fcis-3754	227	3	second	second	ADJ
fcis-3754	227	4	step	step	NOUN
fcis-3754	227	5	,	,	PUNCT
fcis-3754	227	6	there	there	PRON
fcis-3754	227	7	are	be	VERB
fcis-3754	227	8	totally	totally	ADV
fcis-3754	227	9	number	number	NOUN
fcis-3754	227	10	n	n	CCONJ
fcis-3754	227	11	k	k	PROPN
fcis-3754	227	12	data	datum	NOUN
fcis-3754	227	13	points	point	NOUN
fcis-3754	227	14	remaining	remain	VERB
fcis-3754	227	15	and	and	CCONJ
fcis-3754	227	16	for	for	ADP
fcis-3754	227	17	each	each	PRON
fcis-3754	227	18	of	of	ADP
fcis-3754	227	19	these	these	DET
fcis-3754	227	20	data	datum	NOUN
fcis-3754	227	21	points	point	NOUN
fcis-3754	227	22	,	,	PUNCT
fcis-3754	227	23	using	use	VERB
fcis-3754	227	24	one	one	NUM
fcis-3754	227	25	of	of	ADP
fcis-3754	227	26	the	the	DET
fcis-3754	227	27	distance	distance	NOUN
fcis-3754	227	28	functions	function	NOUN
fcis-3754	227	29	to	to	PART
fcis-3754	227	30	calculate	calculate	VERB
fcis-3754	227	31	the	the	DET
fcis-3754	227	32	distance	distance	NOUN
fcis-3754	227	33	between	between	ADP
fcis-3754	227	34	one	one	NUM
fcis-3754	227	35	data	data	NOUN
fcis-3754	227	36	point	point	NOUN
fcis-3754	227	37	and	and	CCONJ
fcis-3754	227	38	all	all	DET
fcis-3754	227	39	the	the	DET
fcis-3754	227	40	center	center	NOUN
fcis-3754	227	41	of	of	ADP
fcis-3754	227	42	the	the	DET
fcis-3754	227	43	clusters	cluster	NOUN
fcis-3754	227	44	.	.	PUNCT
fcis-3754	228	1	the	the	DET
fcis-3754	228	2	purpose	purpose	NOUN
fcis-3754	228	3	of	of	ADP
fcis-3754	228	4	this	this	DET
fcis-3754	228	5	step	step	NOUN
fcis-3754	228	6	is	be	AUX
fcis-3754	228	7	to	to	PART
fcis-3754	228	8	calculate	calculate	VERB
fcis-3754	228	9	the	the	DET
fcis-3754	228	10	distance	distance	NOUN
fcis-3754	228	11	that	that	SCONJ
fcis-3754	228	12	from	from	ADP
fcis-3754	228	13	each	each	DET
fcis-3754	228	14	data	datum	NOUN
fcis-3754	228	15	point	point	NOUN
fcis-3754	228	16	to	to	ADP
fcis-3754	228	17	each	each	DET
fcis-3754	228	18	cluster	cluster	NOUN
fcis-3754	228	19	,	,	PUNCT
fcis-3754	228	20	and	and	CCONJ
fcis-3754	228	21	then	then	ADV
fcis-3754	228	22	assigning	assign	VERB
fcis-3754	228	23	each	each	DET
fcis-3754	228	24	data	data	NOUN
fcis-3754	228	25	point	point	NOUN
fcis-3754	228	26	to	to	ADP
fcis-3754	228	27	its	its	PRON
fcis-3754	228	28	nearest	near	ADJ
fcis-3754	228	29	cluster	cluster	NOUN
fcis-3754	228	30	.	.	PUNCT
fcis-3754	229	1	the	the	DET
fcis-3754	229	2	distance	distance	NOUN
fcis-3754	229	3	function	function	NOUN
fcis-3754	229	4	which	which	PRON
fcis-3754	229	5	is	be	AUX
fcis-3754	229	6	used	use	VERB
fcis-3754	229	7	to	to	PART
fcis-3754	229	8	calculate	calculate	VERB
fcis-3754	229	9	the	the	DET
fcis-3754	229	10	distance	distance	NOUN
fcis-3754	229	11	can	can	AUX
fcis-3754	229	12	be	be	AUX
fcis-3754	229	13	replaced	replace	VERB
fcis-3754	229	14	too	too	ADV
fcis-3754	229	15	.	.	PUNCT
fcis-3754	230	1	the	the	DET
fcis-3754	230	2	most	most	ADV
fcis-3754	230	3	popular	popular	ADJ
fcis-3754	230	4	distance	distance	NOUN
fcis-3754	230	5	function	function	NOUN
fcis-3754	230	6	is	be	AUX
fcis-3754	230	7	euclidean	euclidean	ADJ
fcis-3754	230	8	distance	distance	NOUN
fcis-3754	230	9	which	which	PRON
fcis-3754	230	10	is	be	AUX
fcis-3754	230	11	used	use	VERB
fcis-3754	230	12	in	in	ADP
fcis-3754	230	13	the	the	DET
fcis-3754	230	14	project	project	NOUN
fcis-3754	230	15	.	.	PUNCT
fcis-3754	231	1	there	there	PRON
fcis-3754	231	2	are	be	VERB
fcis-3754	231	3	also	also	ADV
fcis-3754	231	4	some	some	DET
fcis-3754	231	5	other	other	ADJ
fcis-3754	231	6	distance	distance	NOUN
fcis-3754	231	7	functions	function	NOUN
fcis-3754	231	8	such	such	ADJ
fcis-3754	231	9	as	as	ADP
fcis-3754	231	10	chebyshev	chebyshev	PROPN
fcis-3754	231	11	distance	distance	NOUN
fcis-3754	231	12	,	,	PUNCT
fcis-3754	231	13	filtered	filter	VERB
fcis-3754	231	14	distance	distance	NOUN
fcis-3754	231	15	,	,	PUNCT
fcis-3754	231	16	manhattan	manhattan	PROPN
fcis-3754	231	17	distance	distance	NOUN
fcis-3754	231	18	and	and	CCONJ
fcis-3754	231	19	minkowski	minkowski	ADJ
fcis-3754	231	20	distance	distance	NOUN
fcis-3754	231	21	.	.	PUNCT
fcis-3754	232	1	these	these	DET
fcis-3754	232	2	distance	distance	NOUN
fcis-3754	232	3	functions	function	NOUN
fcis-3754	232	4	are	be	AUX
fcis-3754	232	5	not	not	PART
fcis-3754	232	6	implemented	implement	VERB
fcis-3754	232	7	in	in	ADP
fcis-3754	232	8	the	the	DET
fcis-3754	232	9	project	project	NOUN
fcis-3754	232	10	.	.	PUNCT
fcis-3754	233	1	figure	figure	VERB
fcis-3754	233	2	3	3	NUM
fcis-3754	233	3	.	.	PUNCT
fcis-3754	234	1	k	k	X
fcis-3754	234	2	-	-	PUNCT
fcis-3754	234	3	means	means	NOUN
fcis-3754	234	4	in	in	ADP
fcis-3754	234	5	the	the	DET
fcis-3754	234	6	third	third	ADJ
fcis-3754	234	7	step	step	NOUN
fcis-3754	234	8	,	,	PUNCT
fcis-3754	234	9	the	the	DET
fcis-3754	234	10	center	center	NOUN
fcis-3754	234	11	of	of	ADP
fcis-3754	234	12	each	each	DET
fcis-3754	234	13	cluster	cluster	NOUN
fcis-3754	234	14	is	be	AUX
fcis-3754	234	15	recomputed	recompute	VERB
fcis-3754	234	16	and	and	CCONJ
fcis-3754	234	17	like	like	ADP
fcis-3754	234	18	what	what	PRON
fcis-3754	234	19	the	the	DET
fcis-3754	234	20	program	program	NOUN
fcis-3754	234	21	does	do	VERB
fcis-3754	234	22	in	in	ADP
fcis-3754	234	23	the	the	DET
fcis-3754	234	24	step	step	NOUN
fcis-3754	234	25	two	two	NUM
fcis-3754	234	26	,	,	PUNCT
fcis-3754	234	27	the	the	DET
fcis-3754	234	28	distance	distance	NOUN
fcis-3754	234	29	between	between	ADP
fcis-3754	234	30	each	each	DET
fcis-3754	234	31	data	data	NOUN
fcis-3754	234	32	point	point	NOUN
fcis-3754	234	33	and	and	CCONJ
fcis-3754	234	34	each	each	DET
fcis-3754	234	35	center	center	NOUN
fcis-3754	234	36	of	of	ADP
fcis-3754	234	37	cluster	cluster	NOUN
fcis-3754	234	38	is	be	AUX
fcis-3754	234	39	calculated	calculate	VERB
fcis-3754	234	40	by	by	ADP
fcis-3754	234	41	the	the	DET
fcis-3754	234	42	same	same	ADJ
fcis-3754	234	43	distance	distance	NOUN
fcis-3754	234	44	function	function	NOUN
fcis-3754	234	45	.	.	PUNCT
fcis-3754	235	1	after	after	ADP
fcis-3754	235	2	that	that	PRON
fcis-3754	235	3	,	,	PUNCT
fcis-3754	235	4	by	by	ADP
fcis-3754	235	5	judging	judge	VERB
fcis-3754	235	6	whether	whether	SCONJ
fcis-3754	235	7	each	each	DET
fcis-3754	235	8	data	datum	NOUN
fcis-3754	235	9	point	point	NOUN
fcis-3754	235	10	is	be	AUX
fcis-3754	235	11	in	in	ADP
fcis-3754	235	12	the	the	DET
fcis-3754	235	13	nearest	near	ADJ
fcis-3754	235	14	cluster	cluster	NOUN
fcis-3754	235	15	or	or	CCONJ
fcis-3754	235	16	not	not	PART
fcis-3754	235	17	,	,	PUNCT
fcis-3754	235	18	all	all	DET
fcis-3754	235	19	the	the	DET
fcis-3754	235	20	data	data	NOUN
fcis-3754	235	21	points	point	NOUN
fcis-3754	235	22	are	be	AUX
fcis-3754	235	23	reassigned	reassign	VERB
fcis-3754	235	24	to	to	ADP
fcis-3754	235	25	its	its	PRON
fcis-3754	235	26	nearest	near	ADJ
fcis-3754	235	27	cluster	cluster	NOUN
fcis-3754	235	28	again	again	ADV
fcis-3754	235	29	.	.	PUNCT
fcis-3754	236	1	the	the	DET
fcis-3754	236	2	step	step	NOUN
fcis-3754	236	3	two	two	NUM
fcis-3754	236	4	and	and	CCONJ
fcis-3754	236	5	step	step	VERB
fcis-3754	236	6	three	three	NUM
fcis-3754	236	7	repeat	repeat	NOUN
fcis-3754	236	8	again	again	ADV
fcis-3754	236	9	and	and	CCONJ
fcis-3754	236	10	again	again	ADV
fcis-3754	236	11	until	until	SCONJ
fcis-3754	236	12	all	all	DET
fcis-3754	236	13	the	the	DET
fcis-3754	236	14	data	data	NOUN
fcis-3754	236	15	points	point	NOUN
fcis-3754	236	16	have	have	AUX
fcis-3754	236	17	been	be	AUX
fcis-3754	236	18	assigned	assign	VERB
fcis-3754	236	19	to	to	ADP
fcis-3754	236	20	the	the	DET
fcis-3754	236	21	best	good	ADJ
fcis-3754	236	22	cluster	cluster	NOUN
fcis-3754	236	23	.	.	PUNCT
fcis-3754	237	1	this	this	DET
fcis-3754	237	2	37	37	NUM
fcis-3754	237	3	project	project	NOUN
fcis-3754	237	4	implements	implement	VERB
fcis-3754	237	5	the	the	DET
fcis-3754	237	6	k	k	NOUN
fcis-3754	237	7	-	-	PUNCT
fcis-3754	237	8	means	means	NOUN
fcis-3754	237	9	algorithm	algorithm	NOUN
fcis-3754	237	10	on	on	ADP
fcis-3754	237	11	the	the	DET
fcis-3754	237	12	data	datum	NOUN
fcis-3754	237	13	set	set	VERB
fcis-3754	237	14	,	,	PUNCT
fcis-3754	237	15	and	and	CCONJ
fcis-3754	237	16	calculates	calculate	VERB
fcis-3754	237	17	the	the	DET
fcis-3754	237	18	evaluation	evaluation	NOUN
fcis-3754	237	19	indexes	index	NOUN
fcis-3754	237	20	by	by	ADP
fcis-3754	237	21	matlab	matlab	PROPN
fcis-3754	237	22	.	.	PUNCT
fcis-3754	238	1	the	the	DET
fcis-3754	238	2	best	good	ADJ
fcis-3754	238	3	number	number	NOUN
fcis-3754	238	4	of	of	ADP
fcis-3754	238	5	clusters	cluster	NOUN
fcis-3754	238	6	and	and	CCONJ
fcis-3754	238	7	4	4	NUM
fcis-3754	238	8	evaluation	evaluation	NOUN
fcis-3754	238	9	indexes	index	NOUN
fcis-3754	238	10	are	be	AUX
fcis-3754	238	11	shown	show	VERB
fcis-3754	238	12	in	in	ADP
fcis-3754	238	13	the	the	DET
fcis-3754	238	14	figure	figure	NOUN
fcis-3754	238	15	3	3	NUM
fcis-3754	238	16	below	below	ADV
fcis-3754	238	17	.	.	PUNCT
fcis-3754	239	1	to	to	PART
fcis-3754	239	2	sum	sum	VERB
fcis-3754	239	3	up	up	ADP
fcis-3754	239	4	,	,	PUNCT
fcis-3754	239	5	the	the	DET
fcis-3754	239	6	best	good	ADJ
fcis-3754	239	7	number	number	NOUN
fcis-3754	239	8	of	of	ADP
fcis-3754	239	9	clusters	cluster	NOUN
fcis-3754	239	10	of	of	ADP
fcis-3754	239	11	k	k	NOUN
fcis-3754	239	12	-	-	PUNCT
fcis-3754	239	13	means	means	NOUN
fcis-3754	239	14	algorithm	algorithm	NOUN
fcis-3754	239	15	is	be	AUX
fcis-3754	239	16	specified	specify	VERB
fcis-3754	239	17	to	to	PART
fcis-3754	239	18	be	be	AUX
fcis-3754	239	19	3	3	NUM
fcis-3754	239	20	.	.	PUNCT
fcis-3754	239	21	further	further	ADJ
fcis-3754	239	22	detailed	detailed	ADJ
fcis-3754	239	23	analysis	analysis	NOUN
fcis-3754	239	24	data	datum	NOUN
fcis-3754	239	25	and	and	CCONJ
fcis-3754	239	26	the	the	DET
fcis-3754	239	27	visualization	visualization	NOUN
fcis-3754	239	28	results	result	NOUN
fcis-3754	239	29	of	of	ADP
fcis-3754	239	30	k	k	NOUN
fcis-3754	239	31	-	-	PUNCT
fcis-3754	239	32	means	mean	NOUN
fcis-3754	239	33	and	and	CCONJ
fcis-3754	239	34	the	the	DET
fcis-3754	239	35	comparison	comparison	NOUN
fcis-3754	239	36	of	of	ADP
fcis-3754	239	37	different	different	ADJ
fcis-3754	239	38	clustering	clustering	ADJ
fcis-3754	239	39	methods	method	NOUN
fcis-3754	239	40	are	be	AUX
fcis-3754	239	41	shown	show	VERB
fcis-3754	239	42	in	in	ADP
fcis-3754	239	43	the	the	DET
fcis-3754	239	44	section	section	NOUN
fcis-3754	239	45	3.4	3.4	NUM
fcis-3754	239	46	later	later	ADV
fcis-3754	239	47	.	.	PUNCT
fcis-3754	240	1	3.2	3.2	NUM
fcis-3754	240	2	.	.	PUNCT
fcis-3754	241	1	em	em	PRON
fcis-3754	241	2	analysis	analysis	NOUN
fcis-3754	241	3	em	em	PRON
fcis-3754	241	4	is	be	AUX
fcis-3754	241	5	the	the	DET
fcis-3754	241	6	second	second	ADJ
fcis-3754	241	7	clustering	clustering	NOUN
fcis-3754	241	8	method	method	NOUN
fcis-3754	241	9	used	use	VERB
fcis-3754	241	10	in	in	ADP
fcis-3754	241	11	this	this	DET
fcis-3754	241	12	project	project	NOUN
fcis-3754	241	13	.	.	PUNCT
fcis-3754	242	1	for	for	ADP
fcis-3754	242	2	each	each	DET
fcis-3754	242	3	data	datum	NOUN
fcis-3754	242	4	point	point	NOUN
fcis-3754	242	5	,	,	PUNCT
fcis-3754	242	6	the	the	DET
fcis-3754	242	7	em	em	PROPN
fcis-3754	242	8	algorithm	algorithm	NOUN
fcis-3754	242	9	assigns	assign	VERB
fcis-3754	242	10	a	a	DET
fcis-3754	242	11	probability	probability	NOUN
fcis-3754	242	12	distribution	distribution	NOUN
fcis-3754	242	13	and	and	CCONJ
fcis-3754	242	14	by	by	ADP
fcis-3754	242	15	doing	do	VERB
fcis-3754	242	16	so	so	ADV
fcis-3754	242	17	,	,	PUNCT
fcis-3754	242	18	it	it	PRON
fcis-3754	242	19	indicates	indicate	VERB
fcis-3754	242	20	the	the	DET
fcis-3754	242	21	probability	probability	NOUN
fcis-3754	242	22	that	that	SCONJ
fcis-3754	242	23	one	one	NUM
fcis-3754	242	24	data	data	NOUN
fcis-3754	242	25	point	point	NOUN
fcis-3754	242	26	is	be	AUX
fcis-3754	242	27	belonging	belong	VERB
fcis-3754	242	28	to	to	ADP
fcis-3754	242	29	one	one	NUM
fcis-3754	242	30	cluster	cluster	NOUN
fcis-3754	242	31	.	.	PUNCT
fcis-3754	243	1	as	as	SCONJ
fcis-3754	243	2	it	it	PRON
fcis-3754	243	3	is	be	AUX
fcis-3754	243	4	mentioned	mention	VERB
fcis-3754	243	5	in	in	ADP
fcis-3754	243	6	the	the	DET
fcis-3754	243	7	part	part	NOUN
fcis-3754	243	8	of	of	ADP
fcis-3754	243	9	k	k	NOUN
fcis-3754	243	10	-	-	PUNCT
fcis-3754	243	11	means	mean	VERB
fcis-3754	243	12	algorithm	algorithm	NOUN
fcis-3754	243	13	above	above	ADV
fcis-3754	243	14	,	,	PUNCT
fcis-3754	243	15	there	there	PRON
fcis-3754	243	16	is	be	VERB
fcis-3754	243	17	one	one	NUM
fcis-3754	243	18	same	same	ADJ
fcis-3754	243	19	problem	problem	NOUN
fcis-3754	243	20	in	in	ADP
fcis-3754	243	21	the	the	DET
fcis-3754	243	22	em	em	PROPN
fcis-3754	243	23	algorithm	algorithm	NOUN
fcis-3754	243	24	too	too	ADV
fcis-3754	243	25	.	.	PUNCT
fcis-3754	244	1	the	the	DET
fcis-3754	244	2	problem	problem	NOUN
fcis-3754	244	3	is	be	AUX
fcis-3754	244	4	that	that	SCONJ
fcis-3754	244	5	,	,	PUNCT
fcis-3754	244	6	for	for	SCONJ
fcis-3754	244	7	the	the	DET
fcis-3754	244	8	purpose	purpose	NOUN
fcis-3754	244	9	of	of	ADP
fcis-3754	244	10	achieving	achieve	VERB
fcis-3754	244	11	the	the	DET
fcis-3754	244	12	best	good	ADJ
fcis-3754	244	13	performance	performance	NOUN
fcis-3754	244	14	of	of	ADP
fcis-3754	244	15	em	em	PRON
fcis-3754	244	16	clustering	cluster	VERB
fcis-3754	244	17	,	,	PUNCT
fcis-3754	244	18	what	what	PRON
fcis-3754	244	19	the	the	DET
fcis-3754	244	20	best	good	ADJ
fcis-3754	244	21	number	number	NOUN
fcis-3754	244	22	of	of	ADP
fcis-3754	244	23	clusters	cluster	NOUN
fcis-3754	244	24	is	be	AUX
fcis-3754	244	25	.	.	PUNCT
fcis-3754	245	1	as	as	SCONJ
fcis-3754	245	2	it	it	PRON
fcis-3754	245	3	is	be	AUX
fcis-3754	245	4	the	the	DET
fcis-3754	245	5	same	same	ADJ
fcis-3754	245	6	in	in	ADP
fcis-3754	245	7	the	the	DET
fcis-3754	245	8	k	k	NOUN
fcis-3754	245	9	-	-	PUNCT
fcis-3754	245	10	means	means	NOUN
fcis-3754	245	11	algorithm	algorithm	NOUN
fcis-3754	245	12	,	,	PUNCT
fcis-3754	245	13	the	the	DET
fcis-3754	245	14	number	number	NOUN
fcis-3754	245	15	of	of	ADP
fcis-3754	245	16	clusters	cluster	NOUN
fcis-3754	245	17	can	can	AUX
fcis-3754	245	18	also	also	ADV
fcis-3754	245	19	be	be	AUX
fcis-3754	245	20	specified	specify	VERB
fcis-3754	245	21	by	by	ADP
fcis-3754	245	22	some	some	DET
fcis-3754	245	23	algorithms	algorithm	NOUN
fcis-3754	245	24	such	such	ADJ
fcis-3754	245	25	as	as	ADP
fcis-3754	245	26	apriori	apriori	ADJ
fcis-3754	245	27	algorithm	algorithm	NOUN
fcis-3754	245	28	.	.	PUNCT
fcis-3754	246	1	the	the	DET
fcis-3754	246	2	researcher	researcher	NOUN
fcis-3754	246	3	can	can	AUX
fcis-3754	246	4	also	also	ADV
fcis-3754	246	5	use	use	VERB
fcis-3754	246	6	control	control	NOUN
fcis-3754	246	7	variable	variable	ADJ
fcis-3754	246	8	method	method	NOUN
fcis-3754	246	9	and	and	CCONJ
fcis-3754	246	10	draw	draw	VERB
fcis-3754	246	11	curve	curve	NOUN
fcis-3754	246	12	graph	graph	NOUN
fcis-3754	246	13	to	to	PART
fcis-3754	246	14	show	show	VERB
fcis-3754	246	15	the	the	DET
fcis-3754	246	16	relation	relation	NOUN
fcis-3754	246	17	between	between	ADP
fcis-3754	246	18	number	number	NOUN
fcis-3754	246	19	of	of	ADP
fcis-3754	246	20	clusters	cluster	NOUN
fcis-3754	246	21	and	and	CCONJ
fcis-3754	246	22	the	the	DET
fcis-3754	246	23	evaluation	evaluation	NOUN
fcis-3754	246	24	index	index	NOUN
fcis-3754	246	25	.	.	PUNCT
fcis-3754	247	1	not	not	PART
fcis-3754	247	2	like	like	ADP
fcis-3754	247	3	the	the	DET
fcis-3754	247	4	case	case	NOUN
fcis-3754	247	5	that	that	SCONJ
fcis-3754	247	6	in	in	ADP
fcis-3754	247	7	k	k	ADJ
fcis-3754	247	8	-	-	PUNCT
fcis-3754	247	9	means	means	NOUN
fcis-3754	247	10	algorithm	algorithm	NOUN
fcis-3754	247	11	,	,	PUNCT
fcis-3754	247	12	em	em	PRON
fcis-3754	247	13	algorithm	algorithm	NOUN
fcis-3754	247	14	can	can	AUX
fcis-3754	247	15	specify	specify	VERB
fcis-3754	247	16	the	the	DET
fcis-3754	247	17	number	number	NOUN
fcis-3754	247	18	of	of	ADP
fcis-3754	247	19	clusters	cluster	NOUN
fcis-3754	247	20	itself	itself	PRON
fcis-3754	247	21	by	by	ADP
fcis-3754	247	22	cross	cross	NOUN
fcis-3754	247	23	validation	validation	NOUN
fcis-3754	247	24	process	process	NOUN
fcis-3754	247	25	.	.	PUNCT
fcis-3754	248	1	and	and	CCONJ
fcis-3754	248	2	the	the	DET
fcis-3754	248	3	cross	cross	NOUN
fcis-3754	248	4	validation	validation	NOUN
fcis-3754	248	5	which	which	PRON
fcis-3754	248	6	is	be	AUX
fcis-3754	248	7	used	use	VERB
fcis-3754	248	8	to	to	PART
fcis-3754	248	9	specify	specify	VERB
fcis-3754	248	10	the	the	DET
fcis-3754	248	11	number	number	NOUN
fcis-3754	248	12	of	of	ADP
fcis-3754	248	13	clusters	cluster	NOUN
fcis-3754	248	14	is	be	AUX
fcis-3754	248	15	processed	process	VERB
fcis-3754	248	16	in	in	ADP
fcis-3754	248	17	the	the	DET
fcis-3754	248	18	following	follow	VERB
fcis-3754	248	19	steps	step	NOUN
fcis-3754	248	20	.	.	PUNCT
fcis-3754	249	1	firstly	firstly	ADV
fcis-3754	249	2	,	,	PUNCT
fcis-3754	249	3	the	the	DET
fcis-3754	249	4	initial	initial	ADJ
fcis-3754	249	5	number	number	NOUN
fcis-3754	249	6	of	of	ADP
fcis-3754	249	7	clusters	cluster	NOUN
fcis-3754	249	8	is	be	AUX
fcis-3754	249	9	set	set	VERB
fcis-3754	249	10	to	to	ADP
fcis-3754	249	11	1	1	NUM
fcis-3754	249	12	.	.	PUNCT
fcis-3754	250	1	secondly	secondly	ADV
fcis-3754	250	2	,	,	PUNCT
fcis-3754	250	3	the	the	DET
fcis-3754	250	4	whole	whole	ADJ
fcis-3754	250	5	training	training	NOUN
fcis-3754	250	6	set	set	NOUN
fcis-3754	250	7	is	be	AUX
fcis-3754	250	8	randomly	randomly	ADV
fcis-3754	250	9	split	split	VERB
fcis-3754	250	10	into	into	ADP
fcis-3754	250	11	n	n	ADP
fcis-3754	250	12	segments	segment	NOUN
fcis-3754	250	13	and	and	CCONJ
fcis-3754	250	14	the	the	DET
fcis-3754	250	15	number	number	NOUN
fcis-3754	250	16	n	n	PART
fcis-3754	250	17	can	can	AUX
fcis-3754	250	18	be	be	AUX
fcis-3754	250	19	specified	specify	VERB
fcis-3754	250	20	by	by	ADP
fcis-3754	250	21	the	the	DET
fcis-3754	250	22	researcher	researcher	NOUN
fcis-3754	250	23	.	.	PUNCT
fcis-3754	251	1	this	this	DET
fcis-3754	251	2	number	number	NOUN
fcis-3754	251	3	is	be	AUX
fcis-3754	251	4	normally	normally	ADV
fcis-3754	251	5	10	10	NUM
fcis-3754	251	6	which	which	PRON
fcis-3754	251	7	is	be	AUX
fcis-3754	251	8	the	the	DET
fcis-3754	251	9	default	default	NOUN
fcis-3754	251	10	setting	setting	NOUN
fcis-3754	251	11	value	value	NOUN
fcis-3754	251	12	in	in	ADP
fcis-3754	251	13	weka	weka	PROPN
fcis-3754	251	14	3	3	NUM
fcis-3754	251	15	.	.	PUNCT
fcis-3754	251	16	thirdly	thirdly	ADV
fcis-3754	251	17	,	,	PUNCT
fcis-3754	251	18	implementing	implement	VERB
fcis-3754	251	19	em	em	PRON
fcis-3754	251	20	algorithm	algorithm	NOUN
fcis-3754	251	21	on	on	ADP
fcis-3754	251	22	the	the	DET
fcis-3754	251	23	n	n	ADJ
fcis-3754	251	24	segments	segment	NOUN
fcis-3754	251	25	.	.	PUNCT
fcis-3754	252	1	and	and	CCONJ
fcis-3754	252	2	next	next	ADV
fcis-3754	252	3	,	,	PUNCT
fcis-3754	252	4	an	an	DET
fcis-3754	252	5	evaluation	evaluation	NOUN
fcis-3754	252	6	index	index	NOUN
fcis-3754	252	7	,	,	PUNCT
fcis-3754	252	8	which	which	PRON
fcis-3754	252	9	is	be	AUX
fcis-3754	252	10	called	call	VERB
fcis-3754	252	11	log	log	NOUN
fcis-3754	252	12	likelihood	likelihood	NOUN
fcis-3754	252	13	is	be	AUX
fcis-3754	252	14	used	use	VERB
fcis-3754	252	15	to	to	PART
fcis-3754	252	16	evaluate	evaluate	VERB
fcis-3754	252	17	the	the	DET
fcis-3754	252	18	performance	performance	NOUN
fcis-3754	252	19	of	of	ADP
fcis-3754	252	20	each	each	DET
fcis-3754	252	21	cluster	cluster	NOUN
fcis-3754	252	22	and	and	CCONJ
fcis-3754	252	23	the	the	DET
fcis-3754	252	24	total	total	ADJ
fcis-3754	252	25	log	log	NOUN
fcis-3754	252	26	likelihood	likelihood	NOUN
fcis-3754	252	27	is	be	AUX
fcis-3754	252	28	averaged	average	VERB
fcis-3754	252	29	over	over	ADP
fcis-3754	252	30	all	all	DET
fcis-3754	252	31	the	the	DET
fcis-3754	252	32	n	n	NUM
fcis-3754	252	33	results	result	NOUN
fcis-3754	252	34	.	.	PUNCT
fcis-3754	253	1	and	and	CCONJ
fcis-3754	253	2	then	then	ADV
fcis-3754	253	3	,	,	PUNCT
fcis-3754	253	4	if	if	SCONJ
fcis-3754	253	5	the	the	DET
fcis-3754	253	6	total	total	ADJ
fcis-3754	253	7	log	log	NOUN
fcis-3754	253	8	likelihood	likelihood	NOUN
fcis-3754	253	9	index	index	NOUN
fcis-3754	253	10	has	have	AUX
fcis-3754	253	11	increased	increase	VERB
fcis-3754	253	12	,	,	PUNCT
fcis-3754	253	13	the	the	DET
fcis-3754	253	14	program	program	NOUN
fcis-3754	253	15	is	be	AUX
fcis-3754	253	16	going	go	VERB
fcis-3754	253	17	to	to	ADP
fcis-3754	253	18	the	the	DET
fcis-3754	253	19	next	next	ADJ
fcis-3754	253	20	circulation	circulation	NOUN
fcis-3754	253	21	which	which	PRON
fcis-3754	253	22	is	be	AUX
fcis-3754	253	23	from	from	ADP
fcis-3754	253	24	step	step	NOUN
fcis-3754	253	25	2	2	NUM
fcis-3754	253	26	to	to	PART
fcis-3754	253	27	step	step	VERB
fcis-3754	253	28	5	5	NUM
fcis-3754	253	29	and	and	CCONJ
fcis-3754	253	30	increase	increase	VERB
fcis-3754	253	31	the	the	DET
fcis-3754	253	32	number	number	NOUN
fcis-3754	253	33	of	of	ADP
fcis-3754	253	34	cluster	cluster	NOUN
fcis-3754	253	35	by	by	ADP
fcis-3754	253	36	1	1	NUM
fcis-3754	253	37	.	.	PUNCT
fcis-3754	254	1	the	the	DET
fcis-3754	254	2	em	em	PROPN
fcis-3754	254	3	algorithm	algorithm	NOUN
fcis-3754	254	4	has	have	VERB
fcis-3754	254	5	two	two	NUM
fcis-3754	254	6	steps	step	NOUN
fcis-3754	254	7	.	.	PUNCT
fcis-3754	255	1	in	in	ADP
fcis-3754	255	2	the	the	DET
fcis-3754	255	3	e	e	NOUN
fcis-3754	255	4	step	step	NOUN
fcis-3754	255	5	,	,	PUNCT
fcis-3754	255	6	it	it	PRON
fcis-3754	255	7	calculates	calculate	VERB
fcis-3754	255	8	the	the	DET
fcis-3754	255	9	posterior	posterior	ADJ
fcis-3754	255	10	probability	probability	NOUN
fcis-3754	255	11	of	of	ADP
fcis-3754	255	12	latent	latent	NOUN
fcis-3754	255	13	variables	variable	NOUN
fcis-3754	255	14	from	from	ADP
fcis-3754	255	15	initial	initial	ADJ
fcis-3754	255	16	parameter	parameter	NOUN
fcis-3754	255	17	or	or	CCONJ
fcis-3754	255	18	the	the	DET
fcis-3754	255	19	last	last	ADJ
fcis-3754	255	20	turn	turn	NOUN
fcis-3754	255	21	’s	’s	PART
fcis-3754	255	22	value	value	NOUN
fcis-3754	255	23	and	and	CCONJ
fcis-3754	255	24	in	in	ADP
fcis-3754	255	25	the	the	DET
fcis-3754	255	26	m	m	NOUN
fcis-3754	255	27	step	step	NOUN
fcis-3754	255	28	,	,	PUNCT
fcis-3754	255	29	it	it	PRON
fcis-3754	255	30	maximums	maximum	VERB
fcis-3754	255	31	the	the	DET
fcis-3754	255	32	likelihood	likelihood	NOUN
fcis-3754	255	33	function	function	NOUN
fcis-3754	255	34	to	to	PART
fcis-3754	255	35	gain	gain	VERB
fcis-3754	255	36	the	the	DET
fcis-3754	255	37	new	new	ADJ
fcis-3754	255	38	parameters	parameter	NOUN
fcis-3754	255	39	.	.	PUNCT
fcis-3754	256	1	for	for	ADP
fcis-3754	256	2	em	em	PRON
fcis-3754	256	3	,	,	PUNCT
fcis-3754	256	4	this	this	DET
fcis-3754	256	5	project	project	NOUN
fcis-3754	256	6	implements	implement	VERB
fcis-3754	256	7	log	log	NOUN
fcis-3754	256	8	likelihood	likelihood	NOUN
fcis-3754	256	9	index	index	NOUN
fcis-3754	256	10	and	and	CCONJ
fcis-3754	256	11	cross	cross	VERB
fcis-3754	256	12	validation	validation	NOUN
fcis-3754	256	13	to	to	PART
fcis-3754	256	14	specify	specify	VERB
fcis-3754	256	15	the	the	DET
fcis-3754	256	16	best	good	ADJ
fcis-3754	256	17	number	number	NOUN
fcis-3754	256	18	of	of	ADP
fcis-3754	256	19	clusters	cluster	NOUN
fcis-3754	256	20	.	.	PUNCT
fcis-3754	257	1	after	after	ADP
fcis-3754	257	2	processing	processing	NOUN
fcis-3754	257	3	,	,	PUNCT
fcis-3754	257	4	the	the	DET
fcis-3754	257	5	best	good	ADJ
fcis-3754	257	6	number	number	NOUN
fcis-3754	257	7	of	of	ADP
fcis-3754	257	8	clusters	cluster	NOUN
fcis-3754	257	9	by	by	ADP
fcis-3754	257	10	em	em	PRON
fcis-3754	257	11	algorithm	algorithm	NOUN
fcis-3754	257	12	is	be	AUX
fcis-3754	257	13	5	5	NUM
fcis-3754	257	14	and	and	CCONJ
fcis-3754	257	15	the	the	DET
fcis-3754	257	16	value	value	NOUN
fcis-3754	257	17	of	of	ADP
fcis-3754	257	18	log	log	NOUN
fcis-3754	257	19	likelihood	likelihood	NOUN
fcis-3754	257	20	index	index	NOUN
fcis-3754	257	21	in	in	ADP
fcis-3754	257	22	this	this	DET
fcis-3754	257	23	case	case	NOUN
fcis-3754	257	24	is	be	AUX
fcis-3754	257	25	306.21262	306.21262	NUM
fcis-3754	257	26	.	.	PUNCT
fcis-3754	258	1	the	the	DET
fcis-3754	258	2	time	time	NOUN
fcis-3754	258	3	cost	cost	NOUN
fcis-3754	258	4	is	be	AUX
fcis-3754	258	5	longer	long	ADJ
fcis-3754	258	6	than	than	ADP
fcis-3754	258	7	the	the	DET
fcis-3754	258	8	other	other	ADJ
fcis-3754	258	9	two	two	NUM
fcis-3754	258	10	clustering	clustering	ADJ
fcis-3754	258	11	methods	method	NOUN
fcis-3754	258	12	.	.	PUNCT
fcis-3754	259	1	3.3	3.3	NUM
fcis-3754	259	2	.	.	PUNCT
fcis-3754	259	3	canopy	canopy	NOUN
fcis-3754	259	4	+	+	CCONJ
fcis-3754	259	5	k	k	X
fcis-3754	259	6	-	-	PUNCT
fcis-3754	259	7	means	mean	VERB
fcis-3754	259	8	analysis	analysis	NOUN
fcis-3754	259	9	canopy	canopy	NOUN
fcis-3754	259	10	plus	plus	CCONJ
fcis-3754	259	11	k	k	ADJ
fcis-3754	259	12	-	-	PUNCT
fcis-3754	259	13	means	means	NOUN
fcis-3754	259	14	algorithm	algorithm	NOUN
fcis-3754	259	15	is	be	AUX
fcis-3754	259	16	the	the	DET
fcis-3754	259	17	third	third	ADJ
fcis-3754	259	18	clustering	clustering	NOUN
fcis-3754	259	19	method	method	NOUN
fcis-3754	259	20	used	use	VERB
fcis-3754	259	21	in	in	ADP
fcis-3754	259	22	this	this	DET
fcis-3754	259	23	project	project	NOUN
fcis-3754	259	24	.	.	PUNCT
fcis-3754	260	1	the	the	DET
fcis-3754	260	2	canopy	canopy	NOUN
fcis-3754	260	3	clustering	cluster	VERB
fcis-3754	260	4	algorithm	algorithm	NOUN
fcis-3754	260	5	can	can	AUX
fcis-3754	260	6	be	be	AUX
fcis-3754	260	7	implemented	implement	VERB
fcis-3754	260	8	by	by	ADP
fcis-3754	260	9	only	only	ADV
fcis-3754	260	10	one	one	NUM
fcis-3754	260	11	pass	pass	NOUN
fcis-3754	260	12	over	over	ADP
fcis-3754	260	13	the	the	DET
fcis-3754	260	14	stock	stock	NOUN
fcis-3754	260	15	price	price	NOUN
fcis-3754	260	16	moving	move	VERB
fcis-3754	260	17	data	datum	NOUN
fcis-3754	260	18	.	.	PUNCT
fcis-3754	261	1	and	and	CCONJ
fcis-3754	261	2	it	it	PRON
fcis-3754	261	3	can	can	AUX
fcis-3754	261	4	also	also	ADV
fcis-3754	261	5	be	be	AUX
fcis-3754	261	6	implemented	implement	VERB
fcis-3754	261	7	to	to	PART
fcis-3754	261	8	use	use	VERB
fcis-3754	261	9	in	in	ADP
fcis-3754	261	10	both	both	DET
fcis-3754	261	11	clustering	cluster	VERB
fcis-3754	261	12	by	by	ADP
fcis-3754	261	13	itself	itself	PRON
fcis-3754	261	14	or	or	CCONJ
fcis-3754	261	15	in	in	ADP
fcis-3754	261	16	the	the	DET
fcis-3754	261	17	pre	pre	ADJ
fcis-3754	261	18	-	-	ADJ
fcis-3754	261	19	processing	processing	ADJ
fcis-3754	261	20	part	part	NOUN
fcis-3754	261	21	of	of	ADP
fcis-3754	261	22	other	other	ADJ
fcis-3754	261	23	clustering	clustering	ADJ
fcis-3754	261	24	algorithms	algorithm	NOUN
fcis-3754	261	25	.	.	PUNCT
fcis-3754	262	1	in	in	ADP
fcis-3754	262	2	this	this	DET
fcis-3754	262	3	project	project	NOUN
fcis-3754	262	4	,	,	PUNCT
fcis-3754	262	5	the	the	DET
fcis-3754	262	6	canopy	canopy	NOUN
fcis-3754	262	7	algorithm	algorithm	NOUN
fcis-3754	262	8	is	be	AUX
fcis-3754	262	9	used	use	VERB
fcis-3754	262	10	as	as	ADP
fcis-3754	262	11	the	the	DET
fcis-3754	262	12	pre	pre	ADJ
fcis-3754	262	13	-	-	ADJ
fcis-3754	262	14	processing	processing	ADJ
fcis-3754	262	15	part	part	NOUN
fcis-3754	262	16	of	of	ADP
fcis-3754	262	17	the	the	DET
fcis-3754	262	18	k	k	NOUN
fcis-3754	262	19	-	-	PUNCT
fcis-3754	262	20	means	mean	VERB
fcis-3754	262	21	clustering	cluster	VERB
fcis-3754	262	22	algorithm	algorithm	NOUN
fcis-3754	262	23	to	to	PART
fcis-3754	262	24	specify	specify	VERB
fcis-3754	262	25	the	the	DET
fcis-3754	262	26	best	good	ADJ
fcis-3754	262	27	number	number	NOUN
fcis-3754	262	28	of	of	ADP
fcis-3754	262	29	clusters	cluster	NOUN
fcis-3754	262	30	and	and	CCONJ
fcis-3754	262	31	calculate	calculate	VERB
fcis-3754	262	32	the	the	DET
fcis-3754	262	33	initial	initial	ADJ
fcis-3754	262	34	centers	center	NOUN
fcis-3754	262	35	of	of	ADP
fcis-3754	262	36	clusters	cluster	NOUN
fcis-3754	262	37	too	too	ADV
fcis-3754	262	38	.	.	PUNCT
fcis-3754	263	1	the	the	DET
fcis-3754	263	2	principle	principle	NOUN
fcis-3754	263	3	of	of	ADP
fcis-3754	263	4	canopy	canopy	NOUN
fcis-3754	263	5	clustering	cluster	VERB
fcis-3754	263	6	algorithm	algorithm	NOUN
fcis-3754	263	7	is	be	AUX
fcis-3754	263	8	to	to	PART
fcis-3754	263	9	firstly	firstly	ADV
fcis-3754	263	10	classify	classify	VERB
fcis-3754	263	11	the	the	DET
fcis-3754	263	12	data	datum	NOUN
fcis-3754	263	13	set	set	VERB
fcis-3754	263	14	into	into	ADP
fcis-3754	263	15	several	several	ADJ
fcis-3754	263	16	groups	group	NOUN
fcis-3754	263	17	that	that	PRON
fcis-3754	263	18	called	call	VERB
fcis-3754	263	19	canopy	canopy	NOUN
fcis-3754	263	20	by	by	ADP
fcis-3754	263	21	approximate	approximate	ADJ
fcis-3754	263	22	distance	distance	NOUN
fcis-3754	263	23	algorithm	algorithm	NOUN
fcis-3754	263	24	which	which	PRON
fcis-3754	263	25	is	be	AUX
fcis-3754	263	26	a	a	DET
fcis-3754	263	27	low	low	ADJ
fcis-3754	263	28	cost	cost	NOUN
fcis-3754	263	29	method	method	NOUN
fcis-3754	263	30	.	.	PUNCT
fcis-3754	264	1	it	it	PRON
fcis-3754	264	2	can	can	AUX
fcis-3754	264	3	be	be	AUX
fcis-3754	264	4	some	some	DET
fcis-3754	264	5	overlaps	overlap	NOUN
fcis-3754	264	6	among	among	ADP
fcis-3754	264	7	these	these	DET
fcis-3754	264	8	canopies	canopy	NOUN
fcis-3754	264	9	.	.	PUNCT
fcis-3754	265	1	and	and	CCONJ
fcis-3754	265	2	then	then	ADV
fcis-3754	265	3	,	,	PUNCT
fcis-3754	265	4	it	it	PRON
fcis-3754	265	5	uses	use	VERB
fcis-3754	265	6	strict	strict	ADJ
fcis-3754	265	7	distance	distance	NOUN
fcis-3754	265	8	algorithm	algorithm	NOUN
fcis-3754	265	9	to	to	PART
fcis-3754	265	10	calculate	calculate	VERB
fcis-3754	265	11	the	the	DET
fcis-3754	265	12	data	data	NOUN
fcis-3754	265	13	points	point	NOUN
fcis-3754	265	14	in	in	ADP
fcis-3754	265	15	the	the	DET
fcis-3754	265	16	same	same	ADJ
fcis-3754	265	17	canopy	canopy	NOUN
fcis-3754	265	18	and	and	CCONJ
fcis-3754	265	19	assign	assign	VERB
fcis-3754	265	20	them	they	PRON
fcis-3754	265	21	in	in	ADP
fcis-3754	265	22	the	the	DET
fcis-3754	265	23	most	most	ADV
fcis-3754	265	24	appropriate	appropriate	ADJ
fcis-3754	265	25	cluster	cluster	NOUN
fcis-3754	265	26	.	.	PUNCT
fcis-3754	266	1	the	the	DET
fcis-3754	266	2	detailed	detailed	ADJ
fcis-3754	266	3	process	process	NOUN
fcis-3754	266	4	of	of	ADP
fcis-3754	266	5	creating	create	VERB
fcis-3754	266	6	a	a	DET
fcis-3754	266	7	canopy	canopy	NOUN
fcis-3754	266	8	is	be	AUX
fcis-3754	266	9	shown	show	VERB
fcis-3754	266	10	below	below	ADP
fcis-3754	266	11	:	:	PUNCT
fcis-3754	267	1	step1	step1	PROPN
fcis-3754	267	2	.	.	PUNCT
fcis-3754	268	1	if	if	SCONJ
fcis-3754	268	2	there	there	PRON
fcis-3754	268	3	is	be	VERB
fcis-3754	268	4	a	a	DET
fcis-3754	268	5	data	data	NOUN
fcis-3754	268	6	point	point	NOUN
fcis-3754	268	7	set	set	NOUN
fcis-3754	268	8	called	call	VERB
fcis-3754	268	9	‘	'	PUNCT
fcis-3754	268	10	s	s	PART
fcis-3754	268	11	‘	'	PUNCT
fcis-3754	268	12	.	.	PUNCT
fcis-3754	269	1	and	and	CCONJ
fcis-3754	269	2	there	there	PRON
fcis-3754	269	3	are	be	VERB
fcis-3754	269	4	two	two	NUM
fcis-3754	269	5	initial	initial	ADJ
fcis-3754	269	6	distance	distance	NOUN
fcis-3754	269	7	parameter	parameter	NOUN
fcis-3754	269	8	called	call	VERB
fcis-3754	269	9	‘	'	PUNCT
fcis-3754	269	10	t1	t1	NOUN
fcis-3754	269	11	‘	'	PUNCT
fcis-3754	269	12	and	and	CCONJ
fcis-3754	269	13	‘	'	PUNCT
fcis-3754	269	14	t2	t2	NOUN
fcis-3754	269	15	‘	'	PUNCT
fcis-3754	269	16	,	,	PUNCT
fcis-3754	269	17	t1	t1	PROPN
fcis-3754	269	18	is	be	AUX
fcis-3754	269	19	larger	large	ADJ
fcis-3754	269	20	than	than	ADP
fcis-3754	269	21	t2	t2	NOUN
fcis-3754	269	22	.	.	PUNCT
fcis-3754	270	1	step2	step2	PROPN
fcis-3754	270	2	.	.	PUNCT
fcis-3754	271	1	then	then	ADV
fcis-3754	271	2	,	,	PUNCT
fcis-3754	271	3	the	the	DET
fcis-3754	271	4	canopy	canopy	NOUN
fcis-3754	271	5	clustering	cluster	VERB
fcis-3754	271	6	algorithm	algorithm	NOUN
fcis-3754	271	7	chooses	choose	VERB
fcis-3754	271	8	a	a	DET
fcis-3754	271	9	data	data	NOUN
fcis-3754	271	10	point	point	NOUN
fcis-3754	271	11	called	call	VERB
fcis-3754	271	12	‘	'	PUNCT
fcis-3754	271	13	p	p	NOUN
fcis-3754	271	14	‘	'	PUNCT
fcis-3754	271	15	and	and	CCONJ
fcis-3754	271	16	calculate	calculate	VERB
fcis-3754	271	17	the	the	DET
fcis-3754	271	18	distance	distance	NOUN
fcis-3754	271	19	between	between	ADP
fcis-3754	271	20	it	it	PRON
fcis-3754	271	21	and	and	CCONJ
fcis-3754	271	22	each	each	PRON
fcis-3754	271	23	of	of	ADP
fcis-3754	271	24	the	the	DET
fcis-3754	271	25	other	other	ADJ
fcis-3754	271	26	data	data	NOUN
fcis-3754	271	27	points	point	NOUN
fcis-3754	271	28	belonging	belong	VERB
fcis-3754	271	29	to	to	ADP
fcis-3754	271	30	‘	'	PUNCT
fcis-3754	271	31	s	s	X
fcis-3754	271	32	‘	'	PUNCT
fcis-3754	271	33	by	by	ADP
fcis-3754	271	34	a	a	DET
fcis-3754	271	35	low	low	ADJ
fcis-3754	271	36	cost	cost	NOUN
fcis-3754	271	37	distance	distance	NOUN
fcis-3754	271	38	algorithm	algorithm	NOUN
fcis-3754	271	39	.	.	PUNCT
fcis-3754	272	1	step3	step3	PROPN
fcis-3754	272	2	.	.	PUNCT
fcis-3754	273	1	next	next	ADV
fcis-3754	273	2	,	,	PUNCT
fcis-3754	273	3	the	the	DET
fcis-3754	273	4	canopy	canopy	NOUN
fcis-3754	273	5	clustering	cluster	VERB
fcis-3754	273	6	algorithm	algorithm	NOUN
fcis-3754	273	7	puts	put	VERB
fcis-3754	273	8	those	those	DET
fcis-3754	273	9	data	datum	NOUN
fcis-3754	273	10	points	point	NOUN
fcis-3754	273	11	belonging	belong	VERB
fcis-3754	273	12	to	to	ADP
fcis-3754	273	13	‘	'	PUNCT
fcis-3754	273	14	s	s	X
fcis-3754	273	15	‘	'	PUNCT
fcis-3754	273	16	whose	whose	DET
fcis-3754	273	17	distance	distance	NOUN
fcis-3754	273	18	from	from	ADP
fcis-3754	273	19	the	the	DET
fcis-3754	273	20	‘	'	PUNCT
fcis-3754	273	21	p	p	NOUN
fcis-3754	273	22	‘	'	PUNCT
fcis-3754	273	23	is	be	AUX
fcis-3754	273	24	smaller	small	ADJ
fcis-3754	273	25	than	than	ADP
fcis-3754	273	26	‘	'	PUNCT
fcis-3754	273	27	t1	t1	NOUN
fcis-3754	273	28	‘	'	PUNCT
fcis-3754	273	29	into	into	ADP
fcis-3754	273	30	a	a	DET
fcis-3754	273	31	canopy	canopy	NOUN
fcis-3754	273	32	.	.	PUNCT
fcis-3754	274	1	at	at	ADP
fcis-3754	274	2	the	the	DET
fcis-3754	274	3	same	same	ADJ
fcis-3754	274	4	time	time	NOUN
fcis-3754	274	5	,	,	PUNCT
fcis-3754	274	6	the	the	DET
fcis-3754	274	7	canopy	canopy	NOUN
fcis-3754	274	8	clustering	cluster	VERB
fcis-3754	274	9	algorithm	algorithm	NOUN
fcis-3754	274	10	removes	remove	VERB
fcis-3754	274	11	those	those	DET
fcis-3754	274	12	data	datum	NOUN
fcis-3754	274	13	points	point	NOUN
fcis-3754	274	14	belonging	belong	VERB
fcis-3754	274	15	to	to	ADP
fcis-3754	274	16	‘	'	PUNCT
fcis-3754	274	17	s	s	X
fcis-3754	274	18	‘	'	PUNCT
fcis-3754	274	19	whose	whose	DET
fcis-3754	274	20	distance	distance	NOUN
fcis-3754	274	21	from	from	ADP
fcis-3754	274	22	the	the	DET
fcis-3754	274	23	‘	'	PUNCT
fcis-3754	274	24	p	p	NOUN
fcis-3754	274	25	‘	'	PUNCT
fcis-3754	274	26	is	be	AUX
fcis-3754	274	27	larger	large	ADJ
fcis-3754	274	28	than	than	ADP
fcis-3754	274	29	‘	'	PUNCT
fcis-3754	274	30	t2	t2	NOUN
fcis-3754	274	31	‘	'	PUNCT
fcis-3754	274	32	from	from	ADP
fcis-3754	274	33	the	the	DET
fcis-3754	274	34	‘	'	PUNCT
fcis-3754	274	35	s	s	X
fcis-3754	274	36	‘	'	PUNCT
fcis-3754	274	37	.	.	PUNCT
fcis-3754	275	1	step4	step4	PROPN
fcis-3754	275	2	.	.	PUNCT
fcis-3754	276	1	the	the	DET
fcis-3754	276	2	process	process	NOUN
fcis-3754	276	3	is	be	AUX
fcis-3754	276	4	continuing	continue	VERB
fcis-3754	276	5	until	until	SCONJ
fcis-3754	276	6	there	there	PRON
fcis-3754	276	7	is	be	VERB
fcis-3754	276	8	no	no	DET
fcis-3754	276	9	data	data	NOUN
fcis-3754	276	10	point	point	NOUN
fcis-3754	276	11	in	in	ADP
fcis-3754	276	12	the	the	DET
fcis-3754	276	13	data	data	NOUN
fcis-3754	276	14	set	set	VERB
fcis-3754	276	15	‘	'	PUNCT
fcis-3754	276	16	s	s	X
fcis-3754	276	17	‘	'	PUNCT
fcis-3754	276	18	.	.	PUNCT
fcis-3754	277	1	it	it	PRON
fcis-3754	277	2	can	can	AUX
fcis-3754	277	3	be	be	AUX
fcis-3754	277	4	considered	consider	VERB
fcis-3754	277	5	that	that	SCONJ
fcis-3754	277	6	the	the	DET
fcis-3754	277	7	canopy	canopy	NOUN
fcis-3754	277	8	clustering	cluster	VERB
fcis-3754	277	9	algorithm	algorithm	NOUN
fcis-3754	277	10	is	be	AUX
fcis-3754	277	11	simply	simply	ADV
fcis-3754	277	12	using	use	VERB
fcis-3754	277	13	circles	circle	NOUN
fcis-3754	277	14	to	to	PART
fcis-3754	277	15	classify	classify	VERB
fcis-3754	277	16	the	the	DET
fcis-3754	277	17	data	datum	NOUN
fcis-3754	277	18	set	set	VERB
fcis-3754	277	19	and	and	CCONJ
fcis-3754	277	20	the	the	DET
fcis-3754	277	21	center	center	NOUN
fcis-3754	277	22	of	of	ADP
fcis-3754	277	23	each	each	DET
fcis-3754	277	24	canopy	canopy	NOUN
fcis-3754	277	25	is	be	AUX
fcis-3754	277	26	not	not	PART
fcis-3754	277	27	too	too	ADV
fcis-3754	277	28	close	close	ADJ
fcis-3754	277	29	because	because	SCONJ
fcis-3754	277	30	the	the	DET
fcis-3754	277	31	distance	distance	NOUN
fcis-3754	277	32	between	between	ADP
fcis-3754	277	33	them	they	PRON
fcis-3754	277	34	is	be	AUX
fcis-3754	277	35	larger	large	ADJ
fcis-3754	277	36	than	than	ADP
fcis-3754	277	37	‘	'	PUNCT
fcis-3754	277	38	t2	t2	NOUN
fcis-3754	277	39	‘	'	PUNCT
fcis-3754	277	40	.	.	PUNCT
fcis-3754	278	1	in	in	ADP
fcis-3754	278	2	this	this	DET
fcis-3754	278	3	project	project	NOUN
fcis-3754	278	4	,	,	PUNCT
fcis-3754	278	5	the	the	DET
fcis-3754	278	6	t1	t1	NOUN
fcis-3754	278	7	is	be	AUX
fcis-3754	278	8	set	set	VERB
fcis-3754	278	9	to	to	PART
fcis-3754	278	10	be	be	AUX
fcis-3754	278	11	1.25	1.25	NUM
fcis-3754	278	12	and	and	CCONJ
fcis-3754	278	13	t2	t2	NOUN
fcis-3754	278	14	is	be	AUX
fcis-3754	278	15	set	set	VERB
fcis-3754	278	16	to	to	PART
fcis-3754	278	17	be	be	AUX
fcis-3754	278	18	1.0	1.0	NUM
fcis-3754	278	19	as	as	ADP
fcis-3754	278	20	the	the	DET
fcis-3754	278	21	default	default	NOUN
fcis-3754	278	22	setting	setting	NOUN
fcis-3754	278	23	.	.	PUNCT
fcis-3754	279	1	the	the	DET
fcis-3754	279	2	best	good	ADJ
fcis-3754	279	3	number	number	NOUN
fcis-3754	279	4	of	of	ADP
fcis-3754	279	5	clusters	cluster	NOUN
fcis-3754	279	6	of	of	ADP
fcis-3754	279	7	canopy	canopy	NOUN
fcis-3754	279	8	+	+	CCONJ
fcis-3754	279	9	k	k	X
fcis-3754	279	10	-	-	PUNCT
fcis-3754	279	11	means	mean	VERB
fcis-3754	279	12	clustering	cluster	VERB
fcis-3754	279	13	algorithm	algorithm	NOUN
fcis-3754	279	14	can	can	AUX
fcis-3754	279	15	be	be	AUX
fcis-3754	279	16	specified	specify	VERB
fcis-3754	279	17	by	by	ADP
fcis-3754	279	18	different	different	ADJ
fcis-3754	279	19	indexes	index	NOUN
fcis-3754	279	20	which	which	PRON
fcis-3754	279	21	are	be	AUX
fcis-3754	279	22	the	the	DET
fcis-3754	279	23	same	same	ADJ
fcis-3754	279	24	as	as	ADP
fcis-3754	279	25	what	what	PRON
fcis-3754	279	26	are	be	AUX
fcis-3754	279	27	used	use	VERB
fcis-3754	279	28	in	in	ADP
fcis-3754	279	29	the	the	DET
fcis-3754	279	30	k	k	NOUN
fcis-3754	279	31	-	-	PUNCT
fcis-3754	279	32	means	mean	VERB
fcis-3754	279	33	clustering	clustering	ADJ
fcis-3754	279	34	algorithm	algorithm	NOUN
fcis-3754	279	35	.	.	PUNCT
fcis-3754	280	1	the	the	DET
fcis-3754	280	2	best	good	ADJ
fcis-3754	280	3	number	number	NOUN
fcis-3754	280	4	of	of	ADP
fcis-3754	280	5	clusters	cluster	NOUN
fcis-3754	280	6	and	and	CCONJ
fcis-3754	280	7	4	4	NUM
fcis-3754	280	8	indexes	index	NOUN
fcis-3754	280	9	are	be	AUX
fcis-3754	280	10	shown	show	VERB
fcis-3754	280	11	in	in	ADP
fcis-3754	280	12	the	the	DET
fcis-3754	280	13	figure	figure	NOUN
fcis-3754	280	14	4	4	NUM
fcis-3754	280	15	below	below	ADV
fcis-3754	280	16	.	.	PUNCT
fcis-3754	281	1	figure	figure	VERB
fcis-3754	281	2	4	4	NUM
fcis-3754	281	3	.	.	NOUN
fcis-3754	281	4	canopy	canopy	NOUN
fcis-3754	281	5	+	+	CCONJ
fcis-3754	282	1	k	k	X
fcis-3754	282	2	-	-	PUNCT
fcis-3754	282	3	means	means	NOUN
fcis-3754	282	4	to	to	PART
fcis-3754	282	5	sum	sum	VERB
fcis-3754	282	6	up	up	ADP
fcis-3754	282	7	,	,	PUNCT
fcis-3754	282	8	the	the	DET
fcis-3754	282	9	case	case	NOUN
fcis-3754	282	10	of	of	ADP
fcis-3754	282	11	3	3	NUM
fcis-3754	282	12	clusters	cluster	NOUN
fcis-3754	282	13	have	have	VERB
fcis-3754	282	14	the	the	DET
fcis-3754	282	15	best	good	ADJ
fcis-3754	282	16	comprehensive	comprehensive	ADJ
fcis-3754	282	17	performance	performance	NOUN
fcis-3754	282	18	due	due	ADP
fcis-3754	282	19	to	to	ADP
fcis-3754	282	20	the	the	DET
fcis-3754	282	21	evaluation	evaluation	NOUN
fcis-3754	282	22	of	of	ADP
fcis-3754	282	23	these	these	DET
fcis-3754	282	24	4	4	NUM
fcis-3754	282	25	indexes	index	NOUN
fcis-3754	282	26	shown	show	VERB
fcis-3754	282	27	above	above	ADV
fcis-3754	282	28	.	.	PUNCT
fcis-3754	283	1	so	so	ADV
fcis-3754	283	2	the	the	DET
fcis-3754	283	3	best	good	ADJ
fcis-3754	283	4	number	number	NOUN
fcis-3754	283	5	of	of	ADP
fcis-3754	283	6	clusters	cluster	NOUN
fcis-3754	283	7	of	of	ADP
fcis-3754	283	8	canopy	canopy	NOUN
fcis-3754	283	9	+	+	CCONJ
fcis-3754	283	10	k	k	ADJ
fcis-3754	283	11	-	-	PUNCT
fcis-3754	283	12	means	means	NOUN
fcis-3754	283	13	algorithm	algorithm	NOUN
fcis-3754	283	14	is	be	AUX
fcis-3754	283	15	specified	specify	VERB
fcis-3754	283	16	to	to	PART
fcis-3754	283	17	be	be	AUX
fcis-3754	283	18	3	3	NUM
fcis-3754	283	19	.	.	PUNCT
fcis-3754	284	1	and	and	CCONJ
fcis-3754	284	2	then	then	ADV
fcis-3754	284	3	,	,	PUNCT
fcis-3754	284	4	the	the	DET
fcis-3754	284	5	visualization	visualization	NOUN
fcis-3754	284	6	results	result	NOUN
fcis-3754	284	7	of	of	ADP
fcis-3754	284	8	k	k	NOUN
fcis-3754	284	9	-	-	PUNCT
fcis-3754	284	10	means	mean	NOUN
fcis-3754	284	11	and	and	CCONJ
fcis-3754	284	12	the	the	DET
fcis-3754	284	13	comparison	comparison	NOUN
fcis-3754	284	14	of	of	ADP
fcis-3754	284	15	different	different	ADJ
fcis-3754	284	16	clustering	clustering	ADJ
fcis-3754	284	17	methods	method	NOUN
fcis-3754	284	18	are	be	AUX
fcis-3754	284	19	described	describe	VERB
fcis-3754	284	20	in	in	ADP
fcis-3754	284	21	the	the	DET
fcis-3754	284	22	section	section	NOUN
fcis-3754	284	23	3.4	3.4	NUM
fcis-3754	284	24	later	later	ADV
fcis-3754	284	25	.	.	PUNCT
fcis-3754	285	1	3.4	3.4	NUM
fcis-3754	285	2	.	.	PUNCT
fcis-3754	285	3	clustering	cluster	VERB
fcis-3754	285	4	methods	method	NOUN
fcis-3754	285	5	comparison	comparison	NOUN
fcis-3754	285	6	as	as	SCONJ
fcis-3754	285	7	the	the	DET
fcis-3754	285	8	best	good	ADJ
fcis-3754	285	9	clusters	cluster	NOUN
fcis-3754	285	10	of	of	ADP
fcis-3754	285	11	each	each	DET
fcis-3754	285	12	clustering	clustering	NOUN
fcis-3754	285	13	method	method	NOUN
fcis-3754	285	14	has	have	AUX
fcis-3754	285	15	been	be	AUX
fcis-3754	285	16	specified	specify	VERB
fcis-3754	285	17	.	.	PUNCT
fcis-3754	286	1	the	the	DET
fcis-3754	286	2	method	method	NOUN
fcis-3754	286	3	,	,	PUNCT
fcis-3754	286	4	number	number	NOUN
fcis-3754	286	5	of	of	ADP
fcis-3754	286	6	clusters	cluster	NOUN
fcis-3754	286	7	and	and	CCONJ
fcis-3754	286	8	evaluation	evaluation	NOUN
fcis-3754	286	9	index	index	NOUN
fcis-3754	286	10	table	table	NOUN
fcis-3754	286	11	including	include	VERB
fcis-3754	286	12	time	time	NOUN
fcis-3754	286	13	cost	cost	NOUN
fcis-3754	286	14	are	be	AUX
fcis-3754	286	15	shown	show	VERB
fcis-3754	286	16	in	in	ADP
fcis-3754	286	17	the	the	DET
fcis-3754	286	18	table	table	NOUN
fcis-3754	286	19	1	1	NUM
fcis-3754	286	20	below	below	ADV
fcis-3754	286	21	.	.	PUNCT
fcis-3754	287	1	as	as	SCONJ
fcis-3754	287	2	it	it	PRON
fcis-3754	287	3	is	be	AUX
fcis-3754	287	4	shown	show	VERB
fcis-3754	287	5	in	in	ADP
fcis-3754	287	6	the	the	DET
fcis-3754	287	7	table	table	NOUN
fcis-3754	287	8	above	above	ADV
fcis-3754	287	9	,	,	PUNCT
fcis-3754	287	10	the	the	DET
fcis-3754	287	11	performance	performance	NOUN
fcis-3754	287	12	of	of	ADP
fcis-3754	287	13	em	em	PRON
fcis-3754	287	14	algorithm	algorithm	NOUN
fcis-3754	287	15	and	and	CCONJ
fcis-3754	287	16	canopy	canopy	NOUN
fcis-3754	287	17	plus	plus	CCONJ
fcis-3754	287	18	k	k	NOUN
fcis-3754	287	19	-	-	PUNCT
fcis-3754	287	20	means	means	NOUN
fcis-3754	287	21	algorithm	algorithm	NOUN
fcis-3754	287	22	is	be	AUX
fcis-3754	287	23	better	well	ADJ
fcis-3754	287	24	than	than	ADP
fcis-3754	287	25	the	the	DET
fcis-3754	287	26	k	k	NOUN
fcis-3754	287	27	-	-	PUNCT
fcis-3754	287	28	means	means	NOUN
fcis-3754	287	29	algorithm	algorithm	NOUN
fcis-3754	287	30	because	because	SCONJ
fcis-3754	287	31	all	all	DET
fcis-3754	287	32	the	the	DET
fcis-3754	287	33	evaluation	evaluation	NOUN
fcis-3754	287	34	index	index	NOUN
fcis-3754	287	35	are	be	AUX
fcis-3754	287	36	shown	show	VERB
fcis-3754	287	37	that	that	SCONJ
fcis-3754	287	38	k	k	ADJ
fcis-3754	287	39	-	-	PUNCT
fcis-3754	287	40	means	means	NOUN
fcis-3754	287	41	algorithm	algorithm	NOUN
fcis-3754	287	42	is	be	AUX
fcis-3754	287	43	not	not	PART
fcis-3754	287	44	well	well	ADV
fcis-3754	287	45	enough	enough	ADV
fcis-3754	287	46	.	.	PUNCT
fcis-3754	288	1	on	on	ADP
fcis-3754	288	2	the	the	DET
fcis-3754	288	3	other	other	ADJ
fcis-3754	288	4	hand	hand	NOUN
fcis-3754	288	5	,	,	PUNCT
fcis-3754	288	6	the	the	DET
fcis-3754	288	7	canopy	canopy	NOUN
fcis-3754	288	8	+	+	CCONJ
fcis-3754	288	9	k	k	X
fcis-3754	288	10	-	-	PUNCT
fcis-3754	288	11	means	mean	VERB
fcis-3754	288	12	clustering	clustering	ADJ
fcis-3754	288	13	algorithm	algorithm	NOUN
fcis-3754	288	14	is	be	AUX
fcis-3754	288	15	to	to	ADP
fcis-3754	288	16	some	some	DET
fcis-3754	288	17	degree	degree	NOUN
fcis-3754	288	18	having	have	VERB
fcis-3754	288	19	little	little	ADJ
fcis-3754	288	20	gap	gap	NOUN
fcis-3754	288	21	with	with	ADP
fcis-3754	288	22	the	the	DET
fcis-3754	288	23	em	em	PROPN
fcis-3754	288	24	clustering	cluster	VERB
fcis-3754	288	25	algorithm	algorithm	NOUN
fcis-3754	288	26	.	.	PUNCT
fcis-3754	289	1	the	the	DET
fcis-3754	289	2	calinsky	calinsky	NOUN
fcis-3754	289	3	and	and	CCONJ
fcis-3754	289	4	davies	davies	PROPN
fcis-3754	289	5	bouldin	bouldin	PROPN
fcis-3754	289	6	index	index	NOUN
fcis-3754	289	7	show	show	VERB
fcis-3754	289	8	that	that	SCONJ
fcis-3754	289	9	38	38	NUM
fcis-3754	289	10	em	em	PRON
fcis-3754	289	11	algorithm	algorithm	NOUN
fcis-3754	289	12	is	be	AUX
fcis-3754	289	13	better	well	ADJ
fcis-3754	289	14	than	than	ADP
fcis-3754	289	15	the	the	DET
fcis-3754	289	16	canopy	canopy	NOUN
fcis-3754	289	17	+	+	CCONJ
fcis-3754	289	18	k	k	ADJ
fcis-3754	289	19	-	-	PUNCT
fcis-3754	289	20	means	means	NOUN
fcis-3754	289	21	algorithm	algorithm	NOUN
fcis-3754	289	22	however	however	ADV
fcis-3754	289	23	the	the	DET
fcis-3754	289	24	gap	gap	NOUN
fcis-3754	289	25	index	index	NOUN
fcis-3754	289	26	and	and	CCONJ
fcis-3754	289	27	silhouette	silhouette	NOUN
fcis-3754	289	28	index	index	NOUN
fcis-3754	289	29	shown	show	VERB
fcis-3754	289	30	that	that	DET
fcis-3754	289	31	canopy	canopy	NOUN
fcis-3754	289	32	+	+	CCONJ
fcis-3754	289	33	k	k	ADJ
fcis-3754	289	34	-	-	PUNCT
fcis-3754	289	35	means	means	NOUN
fcis-3754	289	36	algorithm	algorithm	NOUN
fcis-3754	289	37	performs	perform	VERB
fcis-3754	289	38	better	well	ADJ
fcis-3754	289	39	than	than	ADP
fcis-3754	289	40	the	the	DET
fcis-3754	289	41	em	em	PROPN
fcis-3754	289	42	clustering	cluster	VERB
fcis-3754	289	43	algorithm	algorithm	NOUN
fcis-3754	289	44	.	.	PUNCT
fcis-3754	290	1	however	however	ADV
fcis-3754	290	2	,	,	PUNCT
fcis-3754	290	3	there	there	PRON
fcis-3754	290	4	is	be	VERB
fcis-3754	290	5	another	another	DET
fcis-3754	290	6	important	important	ADJ
fcis-3754	290	7	index	index	NOUN
fcis-3754	290	8	to	to	PART
fcis-3754	290	9	make	make	VERB
fcis-3754	290	10	evaluation	evaluation	NOUN
fcis-3754	290	11	on	on	ADP
fcis-3754	290	12	the	the	DET
fcis-3754	290	13	performance	performance	NOUN
fcis-3754	290	14	of	of	ADP
fcis-3754	290	15	each	each	DET
fcis-3754	290	16	clustering	clustering	ADJ
fcis-3754	290	17	method	method	NOUN
fcis-3754	290	18	,	,	PUNCT
fcis-3754	290	19	and	and	CCONJ
fcis-3754	290	20	it	it	PRON
fcis-3754	290	21	is	be	AUX
fcis-3754	290	22	the	the	DET
fcis-3754	290	23	time	time	NOUN
fcis-3754	290	24	cost	cost	NOUN
fcis-3754	290	25	.	.	PUNCT
fcis-3754	291	1	as	as	SCONJ
fcis-3754	291	2	it	it	PRON
fcis-3754	291	3	is	be	AUX
fcis-3754	291	4	shown	show	VERB
fcis-3754	291	5	in	in	ADP
fcis-3754	291	6	the	the	DET
fcis-3754	291	7	table	table	NOUN
fcis-3754	291	8	above	above	ADV
fcis-3754	291	9	,	,	PUNCT
fcis-3754	291	10	the	the	DET
fcis-3754	291	11	k	k	NOUN
fcis-3754	291	12	-	-	PUNCT
fcis-3754	291	13	means	means	NOUN
fcis-3754	291	14	algorithm	algorithm	NOUN
fcis-3754	291	15	has	have	VERB
fcis-3754	291	16	the	the	DET
fcis-3754	291	17	lowest	low	ADJ
fcis-3754	291	18	time	time	NOUN
fcis-3754	291	19	cost	cost	NOUN
fcis-3754	291	20	among	among	ADP
fcis-3754	291	21	them	they	PRON
fcis-3754	291	22	and	and	CCONJ
fcis-3754	291	23	the	the	DET
fcis-3754	291	24	canopy	canopy	NOUN
fcis-3754	291	25	+	+	CCONJ
fcis-3754	291	26	k	k	ADJ
fcis-3754	291	27	-	-	PUNCT
fcis-3754	291	28	means	means	NOUN
fcis-3754	291	29	algorithm	algorithm	NOUN
fcis-3754	291	30	has	have	VERB
fcis-3754	291	31	nearly	nearly	ADV
fcis-3754	291	32	twice	twice	ADJ
fcis-3754	291	33	time	time	NOUN
fcis-3754	291	34	cost	cost	NOUN
fcis-3754	291	35	as	as	ADP
fcis-3754	291	36	the	the	DET
fcis-3754	291	37	k	k	NOUN
fcis-3754	291	38	-	-	PUNCT
fcis-3754	291	39	means	mean	VERB
fcis-3754	291	40	clustering	clustering	ADJ
fcis-3754	291	41	algorithm	algorithm	NOUN
fcis-3754	291	42	.	.	PUNCT
fcis-3754	292	1	the	the	DET
fcis-3754	292	2	em	em	PROPN
fcis-3754	292	3	algorithm	algorithm	NOUN
fcis-3754	292	4	has	have	VERB
fcis-3754	292	5	a	a	DET
fcis-3754	292	6	really	really	ADV
fcis-3754	292	7	high	high	ADJ
fcis-3754	292	8	time	time	NOUN
fcis-3754	292	9	cost	cost	NOUN
fcis-3754	292	10	and	and	CCONJ
fcis-3754	292	11	that	that	PRON
fcis-3754	292	12	is	be	AUX
fcis-3754	292	13	because	because	SCONJ
fcis-3754	292	14	it	it	PRON
fcis-3754	292	15	spends	spend	VERB
fcis-3754	292	16	a	a	DET
fcis-3754	292	17	lot	lot	NOUN
fcis-3754	292	18	of	of	ADP
fcis-3754	292	19	time	time	NOUN
fcis-3754	292	20	on	on	ADP
fcis-3754	292	21	implementing	implement	VERB
fcis-3754	292	22	cross	cross	NOUN
fcis-3754	292	23	validation	validation	NOUN
fcis-3754	292	24	step	step	NOUN
fcis-3754	292	25	.	.	PUNCT
fcis-3754	293	1	as	as	ADP
fcis-3754	293	2	an	an	DET
fcis-3754	293	3	unsurprised	unsurprised	ADJ
fcis-3754	293	4	learning	learning	NOUN
fcis-3754	293	5	problem	problem	NOUN
fcis-3754	293	6	,	,	PUNCT
fcis-3754	293	7	the	the	DET
fcis-3754	293	8	evaluation	evaluation	NOUN
fcis-3754	293	9	index	index	NOUN
fcis-3754	293	10	can	can	AUX
fcis-3754	293	11	only	only	ADV
fcis-3754	293	12	be	be	AUX
fcis-3754	293	13	used	use	VERB
fcis-3754	293	14	to	to	PART
fcis-3754	293	15	measure	measure	VERB
fcis-3754	293	16	the	the	DET
fcis-3754	293	17	performance	performance	NOUN
fcis-3754	293	18	of	of	ADP
fcis-3754	293	19	each	each	DET
fcis-3754	293	20	clustering	clustering	ADJ
fcis-3754	293	21	method	method	NOUN
fcis-3754	293	22	in	in	ADP
fcis-3754	293	23	one	one	NUM
fcis-3754	293	24	aspect	aspect	NOUN
fcis-3754	293	25	.	.	PUNCT
fcis-3754	294	1	so	so	ADV
fcis-3754	294	2	that	that	SCONJ
fcis-3754	294	3	the	the	DET
fcis-3754	294	4	result	result	NOUN
fcis-3754	294	5	of	of	ADP
fcis-3754	294	6	each	each	DET
fcis-3754	294	7	clustering	clustering	ADJ
fcis-3754	294	8	method	method	NOUN
fcis-3754	294	9	is	be	AUX
fcis-3754	294	10	shown	show	VERB
fcis-3754	294	11	visually	visually	ADV
fcis-3754	294	12	below	below	ADV
fcis-3754	294	13	.	.	PUNCT
fcis-3754	295	1	because	because	SCONJ
fcis-3754	295	2	it	it	PRON
fcis-3754	295	3	is	be	AUX
fcis-3754	295	4	too	too	ADV
fcis-3754	295	5	complex	complex	ADJ
fcis-3754	295	6	and	and	CCONJ
fcis-3754	295	7	crowded	crowd	VERB
fcis-3754	295	8	to	to	PART
fcis-3754	295	9	show	show	VERB
fcis-3754	295	10	all	all	DET
fcis-3754	295	11	the	the	DET
fcis-3754	295	12	data	datum	NOUN
fcis-3754	295	13	of	of	ADP
fcis-3754	295	14	each	each	DET
fcis-3754	295	15	cluster	cluster	NOUN
fcis-3754	295	16	in	in	ADP
fcis-3754	295	17	one	one	NUM
fcis-3754	295	18	graph	graph	NOUN
fcis-3754	295	19	.	.	PUNCT
fcis-3754	296	1	the	the	DET
fcis-3754	296	2	visualization	visualization	NOUN
fcis-3754	296	3	graph	graph	NOUN
fcis-3754	296	4	randomly	randomly	ADV
fcis-3754	296	5	selects	select	NOUN
fcis-3754	296	6	several	several	ADJ
fcis-3754	296	7	different	different	ADJ
fcis-3754	296	8	data	datum	NOUN
fcis-3754	296	9	points	point	NOUN
fcis-3754	296	10	of	of	ADP
fcis-3754	296	11	each	each	DET
fcis-3754	296	12	cluster	cluster	NOUN
fcis-3754	296	13	.	.	PUNCT
fcis-3754	297	1	table	table	NOUN
fcis-3754	297	2	1	1	NUM
fcis-3754	297	3	.	.	PUNCT
fcis-3754	298	1	result	result	PROPN
fcis-3754	298	2	method	method	NOUN
fcis-3754	298	3	num	num	PROPN
fcis-3754	298	4	clusters	cluster	NOUN
fcis-3754	298	5	index	index	NOUN
fcis-3754	298	6	time	time	NOUN
fcis-3754	298	7	cost	cost	VERB
fcis-3754	298	8	cal	cal	NOUN
fcis-3754	298	9	db	db	PROPN
fcis-3754	298	10	gap	gap	NOUN
fcis-3754	298	11	sil	sil	PROPN
fcis-3754	298	12	kmeans	kmeans	PROPN
fcis-3754	298	13	1	1	NUM
fcis-3754	298	14	null	null	NOUN
fcis-3754	298	15	null	null	NOUN
fcis-3754	298	16	1.0634	1.0634	NUM
fcis-3754	298	17	null	null	NOUN
fcis-3754	298	18	0.01	0.01	NUM
fcis-3754	298	19	2	2	NUM
fcis-3754	298	20	79.421	79.421	NUM
fcis-3754	298	21	0.9034	0.9034	NUM
fcis-3754	298	22	0.7744	0.7744	NUM
fcis-3754	298	23	0.6205	0.6205	NUM
fcis-3754	298	24	0.01	0.01	NUM
fcis-3754	298	25	3	3	NUM
fcis-3754	298	26	86.8927	86.8927	NUM
fcis-3754	298	27	0.881	0.881	NUM
fcis-3754	298	28	0.9045	0.9045	NUM
fcis-3754	298	29	0.5789	0.5789	NUM
fcis-3754	298	30	0.01	0.01	NUM
fcis-3754	298	31	4	4	NUM
fcis-3754	298	32	78.3009	78.3009	NUM
fcis-3754	298	33	1.006	1.006	NUM
fcis-3754	298	34	0.9268	0.9268	NUM
fcis-3754	298	35	0.484	0.484	NUM
fcis-3754	298	36	0.01	0.01	NUM
fcis-3754	298	37	5	5	NUM
fcis-3754	298	38	71.4057	71.4057	NUM
fcis-3754	298	39	1.1133	1.1133	NUM
fcis-3754	298	40	0.91	0.91	NUM
fcis-3754	298	41	0.3985	0.3985	NUM
fcis-3754	298	42	0.01	0.01	NUM
fcis-3754	298	43	em	em	PRON
fcis-3754	298	44	1	1	NUM
fcis-3754	298	45	null	null	ADJ
fcis-3754	298	46	null	null	ADJ
fcis-3754	298	47	0.8798	0.8798	NUM
fcis-3754	298	48	null	null	NOUN
fcis-3754	298	49	0.01	0.01	NUM
fcis-3754	298	50	2	2	NUM
fcis-3754	298	51	72.1659	72.1659	NUM
fcis-3754	298	52	0.9245	0.9245	NUM
fcis-3754	298	53	0.8978	0.8978	NUM
fcis-3754	298	54	0.5548	0.5548	NUM
fcis-3754	298	55	0.05	0.05	NUM
fcis-3754	298	56	3	3	NUM
fcis-3754	298	57	83.2513	83.2513	NUM
fcis-3754	298	58	0.9413	0.9413	NUM
fcis-3754	298	59	0.9344	0.9344	NUM
fcis-3754	298	60	0.5412	0.5412	NUM
fcis-3754	298	61	0.11	0.11	NUM
fcis-3754	298	62	4	4	NUM
fcis-3754	298	63	87.4578	87.4578	NUM
fcis-3754	298	64	0.8634	0.8634	NUM
fcis-3754	298	65	0.9726	0.9726	NUM
fcis-3754	298	66	0.5937	0.5937	NUM
fcis-3754	298	67	0.14	0.14	NUM
fcis-3754	298	68	5	5	NUM
fcis-3754	298	69	92.7942	92.7942	NUM
fcis-3754	298	70	0.7343	0.7343	NUM
fcis-3754	298	71	0.9832	0.9832	NUM
fcis-3754	298	72	0.6043	0.6043	NUM
fcis-3754	298	73	0.17	0.17	NUM
fcis-3754	298	74	canopy	canopy	NOUN
fcis-3754	298	75	+	+	CCONJ
fcis-3754	298	76	kmeans	kmean	NOUN
fcis-3754	298	77	1	1	NUM
fcis-3754	298	78	null	null	NOUN
fcis-3754	298	79	null	null	NOUN
fcis-3754	298	80	1.2056	1.2056	NUM
fcis-3754	298	81	null	null	NOUN
fcis-3754	298	82	0.02	0.02	NUM
fcis-3754	298	83	2	2	NUM
fcis-3754	298	84	80.6157	80.6157	NUM
fcis-3754	298	85	0.8094	0.8094	NUM
fcis-3754	298	86	0.7692	0.7692	NUM
fcis-3754	298	87	0.6752	0.6752	NUM
fcis-3754	298	88	0.02	0.02	NUM
fcis-3754	298	89	3	3	NUM
fcis-3754	298	90	88.6259	88.6259	NUM
fcis-3754	298	91	0.7462	0.7462	NUM
fcis-3754	298	92	0.9967	0.9967	NUM
fcis-3754	298	93	0.6141	0.6141	NUM
fcis-3754	298	94	0.01	0.01	NUM
fcis-3754	298	95	4	4	NUM
fcis-3754	298	96	82.6124	82.6124	NUM
fcis-3754	298	97	0.8172	0.8172	NUM
fcis-3754	299	1	0.9723	0.9723	NUM
fcis-3754	299	2	0.5086	0.5086	NUM
fcis-3754	299	3	0.02	0.02	NUM
fcis-3754	299	4	5	5	NUM
fcis-3754	299	5	73.5691	73.5691	NUM
fcis-3754	299	6	1.0528	1.0528	NUM
fcis-3754	299	7	0.9211	0.9211	NUM
fcis-3754	299	8	0.4396	0.4396	NUM
fcis-3754	299	9	0.02	0.02	NUM
fcis-3754	299	10	the	the	DET
fcis-3754	299	11	k	k	NOUN
fcis-3754	299	12	-	-	PUNCT
fcis-3754	299	13	means	means	NOUN
fcis-3754	299	14	algorithm	algorithm	NOUN
fcis-3754	299	15	creates	create	VERB
fcis-3754	299	16	3	3	NUM
fcis-3754	299	17	clusters	cluster	NOUN
fcis-3754	299	18	and	and	CCONJ
fcis-3754	299	19	the	the	DET
fcis-3754	299	20	sample	sample	NOUN
fcis-3754	299	21	are	be	AUX
fcis-3754	299	22	shown	show	VERB
fcis-3754	299	23	in	in	ADP
fcis-3754	299	24	the	the	DET
fcis-3754	299	25	figure	figure	NOUN
fcis-3754	299	26	5	5	NUM
fcis-3754	299	27	below	below	ADV
fcis-3754	299	28	.	.	PUNCT
fcis-3754	300	1	as	as	SCONJ
fcis-3754	300	2	it	it	PRON
fcis-3754	300	3	is	be	AUX
fcis-3754	300	4	shown	show	VERB
fcis-3754	300	5	in	in	ADP
fcis-3754	300	6	the	the	DET
fcis-3754	300	7	figure	figure	NOUN
fcis-3754	300	8	5	5	NUM
fcis-3754	300	9	,	,	PUNCT
fcis-3754	300	10	the	the	DET
fcis-3754	300	11	result	result	NOUN
fcis-3754	300	12	of	of	ADP
fcis-3754	300	13	k	k	NOUN
fcis-3754	300	14	-	-	PUNCT
fcis-3754	300	15	means	means	NOUN
fcis-3754	300	16	is	be	AUX
fcis-3754	300	17	not	not	PART
fcis-3754	300	18	very	very	ADV
fcis-3754	300	19	well	well	ADV
fcis-3754	300	20	that	that	SCONJ
fcis-3754	300	21	some	some	PRON
fcis-3754	300	22	of	of	ADP
fcis-3754	300	23	the	the	DET
fcis-3754	300	24	data	data	NOUN
fcis-3754	300	25	points	point	NOUN
fcis-3754	300	26	in	in	ADP
fcis-3754	300	27	the	the	DET
fcis-3754	300	28	cluster	cluster	NOUN
fcis-3754	300	29	2	2	NUM
fcis-3754	300	30	are	be	AUX
fcis-3754	300	31	obviously	obviously	ADV
fcis-3754	300	32	more	more	ADV
fcis-3754	300	33	likely	likely	ADJ
fcis-3754	300	34	to	to	PART
fcis-3754	300	35	be	be	AUX
fcis-3754	300	36	in	in	ADP
fcis-3754	300	37	cluster	cluster	NOUN
fcis-3754	300	38	1	1	NUM
fcis-3754	300	39	.	.	PUNCT
fcis-3754	301	1	k	k	X
fcis-3754	301	2	-	-	PUNCT
fcis-3754	301	3	means	mean	VERB
fcis-3754	301	4	clustering	clustering	ADJ
fcis-3754	301	5	algorithm	algorithm	NOUN
fcis-3754	301	6	has	have	VERB
fcis-3754	301	7	the	the	DET
fcis-3754	301	8	worst	bad	ADJ
fcis-3754	301	9	performance	performance	NOUN
fcis-3754	301	10	among	among	ADP
fcis-3754	301	11	the	the	DET
fcis-3754	301	12	three	three	NUM
fcis-3754	301	13	clustering	clustering	ADJ
fcis-3754	301	14	methods	method	NOUN
fcis-3754	301	15	.	.	PUNCT
fcis-3754	302	1	the	the	DET
fcis-3754	302	2	em	em	PROPN
fcis-3754	302	3	clustering	cluster	VERB
fcis-3754	302	4	algorithm	algorithm	NOUN
fcis-3754	302	5	creates	create	VERB
fcis-3754	302	6	5	5	NUM
fcis-3754	302	7	clusters	cluster	NOUN
fcis-3754	302	8	and	and	CCONJ
fcis-3754	302	9	the	the	DET
fcis-3754	302	10	sample	sample	NOUN
fcis-3754	302	11	are	be	AUX
fcis-3754	302	12	shown	show	VERB
fcis-3754	302	13	in	in	ADP
fcis-3754	302	14	the	the	DET
fcis-3754	302	15	figure	figure	NOUN
fcis-3754	302	16	6	6	NUM
fcis-3754	302	17	below	below	ADV
fcis-3754	302	18	.	.	PUNCT
fcis-3754	303	1	figure	figure	NOUN
fcis-3754	303	2	5	5	NUM
fcis-3754	303	3	.	.	PUNCT
fcis-3754	304	1	visualization	visualization	NOUN
fcis-3754	304	2	of	of	ADP
fcis-3754	304	3	k	k	NOUN
fcis-3754	304	4	-	-	PUNCT
fcis-3754	304	5	means	mean	VERB
fcis-3754	304	6	-0.2	-0.2	PROPN
fcis-3754	304	7	-0.1	-0.1	PROPN
fcis-3754	304	8	0	0	NUM
fcis-3754	304	9	0.1	0.1	NUM
fcis-3754	304	10	0.2	0.2	NUM
fcis-3754	304	11	0.3	0.3	NUM
fcis-3754	304	12	0.4	0.4	NUM
fcis-3754	304	13	1	1	NUM
fcis-3754	304	14	1	1	NUM
fcis-3754	304	15	4	4	NUM
fcis-3754	304	16	2	2	NUM
fcis-3754	304	17	7	7	NUM
fcis-3754	304	18	4	4	NUM
fcis-3754	304	19	0	0	NUM
fcis-3754	304	20	5	5	NUM
fcis-3754	304	21	3	3	NUM
fcis-3754	304	22	6	6	NUM
fcis-3754	304	23	6	6	NUM
fcis-3754	304	24	7	7	NUM
fcis-3754	304	25	9	9	NUM
fcis-3754	304	26	9	9	NUM
fcis-3754	304	27	2	2	NUM
fcis-3754	304	28	1	1	NUM
fcis-3754	304	29	0	0	NUM
fcis-3754	304	30	5	5	NUM
fcis-3754	304	31	1	1	NUM
fcis-3754	304	32	1	1	NUM
fcis-3754	304	33	8	8	NUM
fcis-3754	304	34	1	1	NUM
fcis-3754	304	35	3	3	NUM
fcis-3754	304	36	1	1	NUM
fcis-3754	304	37	1	1	NUM
fcis-3754	304	38	4	4	NUM
fcis-3754	304	39	4	4	NUM
fcis-3754	304	40	1	1	NUM
fcis-3754	304	41	5	5	NUM
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fcis-3754	304	43	1	1	NUM
fcis-3754	304	44	7	7	NUM
fcis-3754	304	45	0	0	NUM
fcis-3754	304	46	1	1	NUM
fcis-3754	304	47	8	8	NUM
fcis-3754	304	48	3	3	NUM
fcis-3754	304	49	1	1	NUM
fcis-3754	304	50	9	9	NUM
fcis-3754	304	51	6	6	NUM
fcis-3754	304	52	2	2	NUM
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fcis-3754	304	54	9	9	NUM
fcis-3754	304	55	2	2	NUM
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fcis-3754	304	57	2	2	NUM
fcis-3754	304	58	2	2	NUM
fcis-3754	304	59	3	3	NUM
fcis-3754	304	60	5	5	NUM
fcis-3754	304	61	2	2	NUM
fcis-3754	304	62	4	4	NUM
fcis-3754	304	63	8	8	NUM
fcis-3754	304	64	cluster	cluster	NOUN
fcis-3754	304	65	0	0	NUM
fcis-3754	304	66	of	of	ADP
fcis-3754	304	67	k	k	NOUN
fcis-3754	304	68	-	-	PUNCT
fcis-3754	304	69	means	mean	VERB
fcis-3754	304	70	-0.8	-0.8	PROPN
fcis-3754	304	71	-0.6	-0.6	X
fcis-3754	304	72	-0.4	-0.4	X
fcis-3754	304	73	-0.2	-0.2	PROPN
fcis-3754	304	74	0	0	NUM
fcis-3754	304	75	0.2	0.2	NUM
fcis-3754	304	76	1	1	NUM
fcis-3754	304	77	1	1	NUM
fcis-3754	304	78	5	5	NUM
fcis-3754	304	79	2	2	NUM
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fcis-3754	304	81	4	4	NUM
fcis-3754	304	82	3	3	NUM
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fcis-3754	304	85	7	7	NUM
fcis-3754	304	86	1	1	NUM
fcis-3754	304	87	8	8	NUM
fcis-3754	304	88	5	5	NUM
fcis-3754	304	89	9	9	NUM
fcis-3754	304	90	9	9	NUM
fcis-3754	304	91	1	1	NUM
fcis-3754	304	92	1	1	NUM
fcis-3754	304	93	3	3	NUM
fcis-3754	304	94	1	1	NUM
fcis-3754	304	95	2	2	NUM
fcis-3754	304	96	7	7	NUM
fcis-3754	304	97	1	1	NUM
fcis-3754	304	98	4	4	NUM
fcis-3754	304	99	1	1	NUM
fcis-3754	304	100	1	1	NUM
fcis-3754	304	101	5	5	NUM
fcis-3754	304	102	5	5	NUM
fcis-3754	304	103	1	1	NUM
fcis-3754	304	104	6	6	NUM
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fcis-3754	304	106	1	1	NUM
fcis-3754	304	107	8	8	NUM
fcis-3754	304	108	3	3	NUM
fcis-3754	304	109	1	1	NUM
fcis-3754	304	110	9	9	NUM
fcis-3754	304	111	7	7	NUM
fcis-3754	304	112	2	2	NUM
fcis-3754	304	113	1	1	NUM
fcis-3754	304	114	1	1	NUM
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fcis-3754	304	116	2	2	NUM
fcis-3754	304	117	5	5	NUM
fcis-3754	304	118	2	2	NUM
fcis-3754	304	119	3	3	NUM
fcis-3754	304	120	9	9	NUM
fcis-3754	304	121	cluster	cluster	NOUN
fcis-3754	304	122	1	1	NUM
fcis-3754	304	123	of	of	ADP
fcis-3754	304	124	k	k	NOUN
fcis-3754	304	125	-	-	PUNCT
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fcis-3754	304	127	-0.2	-0.2	PROPN
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fcis-3754	304	134	1	1	NUM
fcis-3754	304	135	4	4	NUM
fcis-3754	304	136	2	2	NUM
fcis-3754	304	137	7	7	NUM
fcis-3754	304	138	4	4	NUM
fcis-3754	304	139	0	0	NUM
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fcis-3754	304	141	3	3	NUM
fcis-3754	304	142	6	6	NUM
fcis-3754	304	143	6	6	NUM
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fcis-3754	304	152	1	1	NUM
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fcis-3754	304	154	1	1	NUM
fcis-3754	304	155	3	3	NUM
fcis-3754	304	156	1	1	NUM
fcis-3754	304	157	1	1	NUM
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fcis-3754	304	159	4	4	NUM
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fcis-3754	304	181	2	2	NUM
fcis-3754	304	182	4	4	NUM
fcis-3754	304	183	8	8	NUM
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fcis-3754	304	185	2	2	NUM
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fcis-3754	304	187	k	k	NOUN
fcis-3754	304	188	-	-	PUNCT
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fcis-3754	304	190	-0.2	-0.2	PROPN
fcis-3754	304	191	-0.1	-0.1	PROPN
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fcis-3754	304	244	2	2	NUM
fcis-3754	304	245	4	4	NUM
fcis-3754	304	246	8	8	NUM
fcis-3754	304	247	cluster	cluster	NOUN
fcis-3754	304	248	0	0	NUM
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fcis-3754	304	250	em	em	PRON
fcis-3754	304	251	-0.8	-0.8	PROPN
fcis-3754	304	252	-0.6	-0.6	PROPN
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fcis-3754	304	311	1	1	NUM
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fcis-3754	304	313	em	em	PRON
fcis-3754	304	314	-0.1	-0.1	NOUN
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fcis-3754	304	335	5	5	NUM
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fcis-3754	304	341	1	1	NUM
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fcis-3754	304	343	1	1	NUM
fcis-3754	304	344	1	1	NUM
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fcis-3754	304	346	3	3	NUM
fcis-3754	304	347	1	1	NUM
fcis-3754	304	348	4	4	NUM
fcis-3754	304	349	5	5	NUM
fcis-3754	304	350	1	1	NUM
fcis-3754	304	351	5	5	NUM
fcis-3754	304	352	7	7	NUM
fcis-3754	304	353	1	1	NUM
fcis-3754	304	354	6	6	NUM
fcis-3754	304	355	9	9	NUM
fcis-3754	304	356	1	1	NUM
fcis-3754	304	357	8	8	NUM
fcis-3754	304	358	1	1	NUM
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fcis-3754	304	363	0	0	NUM
fcis-3754	304	364	5	5	NUM
fcis-3754	304	365	2	2	NUM
fcis-3754	304	366	1	1	NUM
fcis-3754	304	367	7	7	NUM
fcis-3754	304	368	2	2	NUM
fcis-3754	304	369	2	2	NUM
fcis-3754	304	370	9	9	NUM
fcis-3754	304	371	2	2	NUM
fcis-3754	304	372	4	4	NUM
fcis-3754	304	373	1	1	NUM
fcis-3754	304	374	cluster	cluster	NOUN
fcis-3754	304	375	2	2	NUM
fcis-3754	304	376	of	of	ADP
fcis-3754	304	377	em	em	PRON
fcis-3754	304	378	39	39	NUM
fcis-3754	304	379	figure	figure	NOUN
fcis-3754	304	380	6	6	NUM
fcis-3754	304	381	.	.	PUNCT
fcis-3754	304	382	visualization	visualization	NOUN
fcis-3754	304	383	of	of	ADP
fcis-3754	304	384	em	em	PRON
fcis-3754	304	385	as	as	SCONJ
fcis-3754	304	386	it	it	PRON
fcis-3754	304	387	is	be	AUX
fcis-3754	304	388	shown	show	VERB
fcis-3754	304	389	in	in	ADP
fcis-3754	304	390	the	the	DET
fcis-3754	304	391	figure	figure	NOUN
fcis-3754	304	392	6	6	NUM
fcis-3754	304	393	above	above	ADV
fcis-3754	304	394	,	,	PUNCT
fcis-3754	304	395	the	the	DET
fcis-3754	304	396	performance	performance	NOUN
fcis-3754	304	397	of	of	ADP
fcis-3754	304	398	em	em	PRON
fcis-3754	304	399	clustering	cluster	VERB
fcis-3754	304	400	algorithm	algorithm	NOUN
fcis-3754	304	401	is	be	AUX
fcis-3754	304	402	obviously	obviously	ADV
fcis-3754	304	403	better	well	ADJ
fcis-3754	304	404	than	than	ADP
fcis-3754	304	405	the	the	DET
fcis-3754	304	406	k	k	NOUN
fcis-3754	304	407	-	-	PUNCT
fcis-3754	304	408	means	mean	VERB
fcis-3754	304	409	clustering	clustering	ADJ
fcis-3754	304	410	algorithm	algorithm	NOUN
fcis-3754	304	411	.	.	PUNCT
fcis-3754	305	1	what	what	PRON
fcis-3754	305	2	is	be	AUX
fcis-3754	305	3	worth	worth	ADJ
fcis-3754	305	4	noticing	notice	VERB
fcis-3754	305	5	is	be	AUX
fcis-3754	305	6	that	that	SCONJ
fcis-3754	305	7	the	the	DET
fcis-3754	305	8	cluster	cluster	NOUN
fcis-3754	305	9	0	0	NUM
fcis-3754	305	10	of	of	ADP
fcis-3754	305	11	em	em	PRON
fcis-3754	305	12	clustering	cluster	VERB
fcis-3754	305	13	algorithm	algorithm	NOUN
fcis-3754	305	14	represents	represent	VERB
fcis-3754	305	15	those	those	DET
fcis-3754	305	16	stock	stock	NOUN
fcis-3754	305	17	price	price	NOUN
fcis-3754	305	18	having	have	VERB
fcis-3754	305	19	a	a	DET
fcis-3754	305	20	fluctuation	fluctuation	NOUN
fcis-3754	305	21	.	.	PUNCT
fcis-3754	306	1	the	the	DET
fcis-3754	306	2	canopy	canopy	NOUN
fcis-3754	306	3	+	+	CCONJ
fcis-3754	306	4	k	k	X
fcis-3754	306	5	-	-	PUNCT
fcis-3754	306	6	means	mean	VERB
fcis-3754	306	7	clustering	clustering	ADJ
fcis-3754	306	8	algorithm	algorithm	NOUN
fcis-3754	306	9	creates	create	VERB
fcis-3754	306	10	3	3	NUM
fcis-3754	306	11	clusters	cluster	NOUN
fcis-3754	306	12	and	and	CCONJ
fcis-3754	306	13	the	the	DET
fcis-3754	306	14	sample	sample	NOUN
fcis-3754	306	15	are	be	AUX
fcis-3754	306	16	shown	show	VERB
fcis-3754	306	17	in	in	ADP
fcis-3754	306	18	the	the	DET
fcis-3754	306	19	figure	figure	NOUN
fcis-3754	306	20	7	7	NUM
fcis-3754	306	21	below	below	ADV
fcis-3754	306	22	.	.	PUNCT
fcis-3754	307	1	as	as	SCONJ
fcis-3754	307	2	it	it	PRON
fcis-3754	307	3	is	be	AUX
fcis-3754	307	4	shown	show	VERB
fcis-3754	307	5	in	in	ADP
fcis-3754	307	6	the	the	DET
fcis-3754	307	7	figure	figure	NOUN
fcis-3754	307	8	7	7	NUM
fcis-3754	307	9	above	above	ADV
fcis-3754	307	10	,	,	PUNCT
fcis-3754	307	11	the	the	DET
fcis-3754	307	12	performance	performance	NOUN
fcis-3754	307	13	of	of	ADP
fcis-3754	307	14	canopy	canopy	NOUN
fcis-3754	307	15	+	+	CCONJ
fcis-3754	307	16	k	k	X
fcis-3754	307	17	-	-	PUNCT
fcis-3754	307	18	means	mean	VERB
fcis-3754	307	19	clustering	clustering	ADJ
fcis-3754	307	20	algorithm	algorithm	NOUN
fcis-3754	307	21	is	be	AUX
fcis-3754	307	22	obviously	obviously	ADV
fcis-3754	307	23	better	well	ADJ
fcis-3754	307	24	than	than	ADP
fcis-3754	307	25	the	the	DET
fcis-3754	307	26	k	k	NOUN
fcis-3754	307	27	-	-	PUNCT
fcis-3754	307	28	means	mean	VERB
fcis-3754	307	29	clustering	clustering	ADJ
fcis-3754	307	30	algorithm	algorithm	NOUN
fcis-3754	307	31	.	.	PUNCT
fcis-3754	308	1	on	on	ADP
fcis-3754	308	2	the	the	DET
fcis-3754	308	3	other	other	ADJ
fcis-3754	308	4	hand	hand	NOUN
fcis-3754	308	5	,	,	PUNCT
fcis-3754	308	6	it	it	PRON
fcis-3754	308	7	is	be	AUX
fcis-3754	308	8	slightly	slightly	ADV
fcis-3754	308	9	inferior	inferior	ADJ
fcis-3754	308	10	to	to	ADP
fcis-3754	308	11	the	the	PRON
fcis-3754	308	12	em	em	PROPN
fcis-3754	308	13	clustering	cluster	VERB
fcis-3754	308	14	algorithm	algorithm	NOUN
fcis-3754	308	15	above	above	ADV
fcis-3754	308	16	.	.	PUNCT
fcis-3754	309	1	however	however	ADV
fcis-3754	309	2	,	,	PUNCT
fcis-3754	309	3	the	the	DET
fcis-3754	309	4	time	time	NOUN
fcis-3754	309	5	cost	cost	NOUN
fcis-3754	309	6	of	of	ADP
fcis-3754	309	7	canopy	canopy	NOUN
fcis-3754	309	8	+	+	CCONJ
fcis-3754	309	9	k	k	X
fcis-3754	309	10	-	-	PUNCT
fcis-3754	309	11	means	mean	VERB
fcis-3754	309	12	clustering	clustering	ADJ
fcis-3754	309	13	algorithm	algorithm	NOUN
fcis-3754	309	14	is	be	AUX
fcis-3754	309	15	much	much	ADV
fcis-3754	309	16	lower	low	ADJ
fcis-3754	309	17	than	than	ADP
fcis-3754	309	18	the	the	DET
fcis-3754	309	19	em	em	PROPN
fcis-3754	309	20	clustering	cluster	VERB
fcis-3754	309	21	algorithm	algorithm	NOUN
fcis-3754	309	22	.	.	PUNCT
fcis-3754	310	1	figure	figure	NOUN
fcis-3754	310	2	7	7	NUM
fcis-3754	310	3	.	.	PUNCT
fcis-3754	310	4	visualization	visualization	NOUN
fcis-3754	310	5	of	of	ADP
fcis-3754	310	6	canopy	canopy	NOUN
fcis-3754	310	7	+	+	CCONJ
fcis-3754	310	8	k	k	X
fcis-3754	310	9	-	-	PUNCT
fcis-3754	310	10	means	mean	VERB
fcis-3754	310	11	4	4	NUM
fcis-3754	310	12	.	.	NOUN
fcis-3754	310	13	conclusion	conclusion	NOUN
fcis-3754	310	14	the	the	DET
fcis-3754	310	15	aim	aim	NOUN
fcis-3754	310	16	of	of	ADP
fcis-3754	310	17	this	this	DET
fcis-3754	310	18	project	project	NOUN
fcis-3754	310	19	is	be	AUX
fcis-3754	310	20	to	to	PART
fcis-3754	310	21	compare	compare	VERB
fcis-3754	310	22	the	the	DET
fcis-3754	310	23	performance	performance	NOUN
fcis-3754	310	24	of	of	ADP
fcis-3754	310	25	different	different	ADJ
fcis-3754	310	26	clustering	clustering	ADJ
fcis-3754	310	27	methods	method	NOUN
fcis-3754	310	28	on	on	ADP
fcis-3754	310	29	the	the	DET
fcis-3754	310	30	pattern	pattern	NOUN
fcis-3754	310	31	classification	classification	NOUN
fcis-3754	310	32	of	of	ADP
fcis-3754	310	33	stock	stock	NOUN
fcis-3754	310	34	price	price	NOUN
fcis-3754	310	35	moving	move	VERB
fcis-3754	310	36	data	datum	NOUN
fcis-3754	310	37	.	.	PUNCT
fcis-3754	311	1	to	to	PART
fcis-3754	311	2	sum	sum	VERB
fcis-3754	311	3	up	up	ADP
fcis-3754	311	4	,	,	PUNCT
fcis-3754	311	5	the	the	DET
fcis-3754	311	6	three	three	NUM
fcis-3754	311	7	different	different	ADJ
fcis-3754	311	8	clustering	clustering	ADJ
fcis-3754	311	9	methods	method	NOUN
fcis-3754	311	10	and	and	CCONJ
fcis-3754	311	11	several	several	ADJ
fcis-3754	311	12	different	different	ADJ
fcis-3754	311	13	indexes	index	NOUN
fcis-3754	311	14	which	which	PRON
fcis-3754	311	15	are	be	AUX
fcis-3754	311	16	implemented	implement	VERB
fcis-3754	311	17	in	in	ADP
fcis-3754	311	18	this	this	DET
fcis-3754	311	19	project	project	NOUN
fcis-3754	311	20	shows	show	VERB
fcis-3754	311	21	that	that	SCONJ
fcis-3754	311	22	the	the	DET
fcis-3754	311	23	clustering	cluster	VERB
fcis-3754	311	24	performance	performance	NOUN
fcis-3754	311	25	of	of	ADP
fcis-3754	311	26	em	em	PRON
fcis-3754	311	27	algorithm	algorithm	NOUN
fcis-3754	311	28	is	be	AUX
fcis-3754	311	29	better	well	ADJ
fcis-3754	311	30	than	than	ADP
fcis-3754	311	31	the	the	DET
fcis-3754	311	32	canopy	canopy	NOUN
fcis-3754	311	33	+	+	CCONJ
fcis-3754	311	34	kmeans	kmean	NOUN
fcis-3754	311	35	clustering	cluster	VERB
fcis-3754	311	36	algorithm	algorithm	NOUN
fcis-3754	311	37	on	on	ADP
fcis-3754	311	38	the	the	DET
fcis-3754	311	39	stock	stock	NOUN
fcis-3754	311	40	price	price	NOUN
fcis-3754	311	41	moving	moving	NOUN
fcis-3754	311	42	pattern	pattern	NOUN
fcis-3754	311	43	classification	classification	NOUN
fcis-3754	311	44	and	and	CCONJ
fcis-3754	311	45	the	the	DET
fcis-3754	311	46	k	k	NOUN
fcis-3754	311	47	-	-	PUNCT
fcis-3754	311	48	means	mean	VERB
fcis-3754	311	49	clustering	clustering	ADJ
fcis-3754	311	50	algorithm	algorithm	NOUN
fcis-3754	311	51	has	have	VERB
fcis-3754	311	52	the	the	DET
fcis-3754	311	53	worst	bad	ADJ
fcis-3754	311	54	performance	performance	NOUN
fcis-3754	311	55	.	.	PUNCT
fcis-3754	312	1	on	on	ADP
fcis-3754	312	2	the	the	DET
fcis-3754	312	3	other	other	ADJ
fcis-3754	312	4	hand	hand	NOUN
fcis-3754	312	5	,	,	PUNCT
fcis-3754	312	6	the	the	DET
fcis-3754	312	7	canopy	canopy	NOUN
fcis-3754	312	8	+	+	CCONJ
fcis-3754	312	9	k	k	X
fcis-3754	312	10	-	-	PUNCT
fcis-3754	312	11	means	mean	VERB
fcis-3754	312	12	clustering	clustering	ADJ
fcis-3754	312	13	algorithm	algorithm	NOUN
fcis-3754	312	14	have	have	VERB
fcis-3754	312	15	a	a	DET
fcis-3754	312	16	much	much	ADV
fcis-3754	312	17	lower	low	ADJ
fcis-3754	312	18	time	time	NOUN
fcis-3754	312	19	cost	cost	NOUN
fcis-3754	312	20	than	than	ADP
fcis-3754	312	21	the	the	DET
fcis-3754	312	22	em	em	PROPN
fcis-3754	312	23	clustering	cluster	VERB
fcis-3754	312	24	algorithm	algorithm	NOUN
fcis-3754	312	25	.	.	PUNCT
fcis-3754	313	1	in	in	ADP
fcis-3754	313	2	addition	addition	NOUN
fcis-3754	313	3	,	,	PUNCT
fcis-3754	313	4	the	the	DET
fcis-3754	313	5	project	project	NOUN
fcis-3754	313	6	provides	provide	VERB
fcis-3754	313	7	an	an	DET
fcis-3754	313	8	efficient	efficient	ADJ
fcis-3754	313	9	method	method	NOUN
fcis-3754	313	10	to	to	PART
fcis-3754	313	11	cluster	cluster	VERB
fcis-3754	313	12	the	the	DET
fcis-3754	313	13	stock	stock	NOUN
fcis-3754	313	14	price	price	NOUN
fcis-3754	313	15	moving	move	VERB
fcis-3754	313	16	data	datum	NOUN
fcis-3754	313	17	.	.	PUNCT
fcis-3754	314	1	it	it	PRON
fcis-3754	314	2	is	be	AUX
fcis-3754	314	3	better	well	ADJ
fcis-3754	314	4	to	to	PART
fcis-3754	314	5	choose	choose	VERB
fcis-3754	314	6	different	different	ADJ
fcis-3754	314	7	clustering	clustering	ADJ
fcis-3754	314	8	algorithms	algorithm	NOUN
fcis-3754	314	9	in	in	ADP
fcis-3754	314	10	different	different	ADJ
fcis-3754	314	11	circumstances	circumstance	NOUN
fcis-3754	314	12	.	.	PUNCT
fcis-3754	315	1	if	if	SCONJ
fcis-3754	315	2	time	time	NOUN
fcis-3754	315	3	cost	cost	NOUN
fcis-3754	315	4	is	be	AUX
fcis-3754	315	5	the	the	DET
fcis-3754	315	6	most	most	ADV
fcis-3754	315	7	important	important	ADJ
fcis-3754	315	8	parameter	parameter	NOUN
fcis-3754	315	9	,	,	PUNCT
fcis-3754	315	10	the	the	DET
fcis-3754	315	11	canopy	canopy	NOUN
fcis-3754	315	12	+	+	CCONJ
fcis-3754	315	13	k	k	ADJ
fcis-3754	315	14	-	-	PUNCT
fcis-3754	315	15	means	means	NOUN
fcis-3754	315	16	algorithm	algorithm	NOUN
fcis-3754	315	17	is	be	AUX
fcis-3754	315	18	a	a	DET
fcis-3754	315	19	useful	useful	ADJ
fcis-3754	315	20	method	method	NOUN
fcis-3754	315	21	in	in	ADP
fcis-3754	315	22	pattern	pattern	NOUN
fcis-3754	315	23	classification	classification	NOUN
fcis-3754	315	24	,	,	PUNCT
fcis-3754	315	25	otherwise	otherwise	ADV
fcis-3754	315	26	,	,	PUNCT
fcis-3754	315	27	the	the	DET
fcis-3754	315	28	em	em	PROPN
fcis-3754	315	29	algorithm	algorithm	NOUN
fcis-3754	315	30	has	have	VERB
fcis-3754	315	31	a	a	DET
fcis-3754	315	32	better	well	ADJ
fcis-3754	315	33	performance	performance	NOUN
fcis-3754	315	34	.	.	PUNCT
fcis-3754	316	1	references	reference	NOUN
fcis-3754	316	2	[	[	X
fcis-3754	316	3	1	1	NUM
fcis-3754	316	4	]	]	PUNCT
fcis-3754	316	5	hwang	hwang	PROPN
fcis-3754	316	6	h	h	PROPN
fcis-3754	316	7	,	,	PUNCT
fcis-3754	316	8	oh	oh	INTJ
fcis-3754	316	9	j.	j.	PROPN
fcis-3754	316	10	fuzzy	fuzzy	ADJ
fcis-3754	316	11	models	model	NOUN
fcis-3754	316	12	for	for	ADP
fcis-3754	316	13	predicting	predict	VERB
fcis-3754	316	14	time	time	NOUN
fcis-3754	316	15	series	series	PROPN
fcis-3754	316	16	stock	stock	PROPN
fcis-3754	316	17	price	price	NOUN
fcis-3754	316	18	index	index	NOUN
fcis-3754	317	1	[	[	X
fcis-3754	317	2	j	j	X
fcis-3754	317	3	]	]	X
fcis-3754	317	4	.	.	PUNCT
fcis-3754	318	1	international	international	ADJ
fcis-3754	318	2	journal	journal	PROPN
fcis-3754	318	3	of	of	ADP
fcis-3754	318	4	control	control	NOUN
fcis-3754	318	5	,	,	PUNCT
fcis-3754	318	6	automation	automation	NOUN
fcis-3754	318	7	and	and	CCONJ
fcis-3754	318	8	systems	system	NOUN
fcis-3754	318	9	,	,	PUNCT
fcis-3754	318	10	2010	2010	NUM
fcis-3754	318	11	,	,	PUNCT
fcis-3754	318	12	8(3	8(3	NUM
fcis-3754	318	13	):	):	PUNCT
fcis-3754	318	14	702	702	NUM
fcis-3754	318	15	-	-	SYM
fcis-3754	318	16	706	706	NUM
fcis-3754	318	17	.	.	PUNCT
fcis-3754	319	1	[	[	X
fcis-3754	319	2	2	2	NUM
fcis-3754	319	3	]	]	X
fcis-3754	319	4	chen	chen	PROPN
fcis-3754	319	5	t	t	PROPN
fcis-3754	319	6	,	,	PUNCT
fcis-3754	319	7	chen	chen	PROPN
fcis-3754	319	8	f.	f.	PROPN
fcis-3754	320	1	an	an	DET
fcis-3754	320	2	intelligent	intelligent	ADJ
fcis-3754	320	3	pattern	pattern	NOUN
fcis-3754	320	4	recognition	recognition	NOUN
fcis-3754	320	5	model	model	NOUN
fcis-3754	320	6	for	for	ADP
fcis-3754	320	7	supporting	support	VERB
fcis-3754	320	8	investment	investment	NOUN
fcis-3754	320	9	decisions	decision	NOUN
fcis-3754	320	10	in	in	ADP
fcis-3754	320	11	stock	stock	NOUN
fcis-3754	320	12	market	market	NOUN
fcis-3754	321	1	[	[	X
fcis-3754	321	2	j	j	X
fcis-3754	321	3	]	]	X
fcis-3754	321	4	.	.	PUNCT
fcis-3754	322	1	information	information	NOUN
fcis-3754	322	2	sciences	sciences	PROPN
fcis-3754	322	3	,	,	PUNCT
fcis-3754	322	4	2016	2016	NUM
fcis-3754	322	5	,	,	PUNCT
fcis-3754	322	6	346	346	NUM
fcis-3754	322	7	:	:	PUNCT
fcis-3754	322	8	261	261	NUM
fcis-3754	322	9	-	-	SYM
fcis-3754	322	10	274	274	NUM
fcis-3754	322	11	.	.	PUNCT
fcis-3754	323	1	[	[	X
fcis-3754	323	2	3	3	X
fcis-3754	323	3	]	]	X
fcis-3754	323	4	nair	nair	PROPN
fcis-3754	323	5	b	b	PROPN
fcis-3754	323	6	b	b	PROPN
fcis-3754	323	7	,	,	PUNCT
fcis-3754	323	8	kumar	kumar	PROPN
fcis-3754	323	9	p	p	PROPN
fcis-3754	323	10	k	k	PROPN
fcis-3754	323	11	s	s	PROPN
fcis-3754	323	12	,	,	PUNCT
fcis-3754	323	13	sakthivel	sakthivel	NOUN
fcis-3754	323	14	n	n	PRON
fcis-3754	323	15	r	r	NOUN
fcis-3754	323	16	,	,	PUNCT
fcis-3754	323	17	et	et	PROPN
fcis-3754	323	18	al	al	PROPN
fcis-3754	323	19	.	.	PROPN
fcis-3754	323	20	clustering	cluster	VERB
fcis-3754	323	21	stock	stock	NOUN
fcis-3754	323	22	price	price	NOUN
fcis-3754	323	23	time	time	NOUN
fcis-3754	323	24	series	series	PROPN
fcis-3754	323	25	data	datum	NOUN
fcis-3754	323	26	to	to	PART
fcis-3754	323	27	generate	generate	VERB
fcis-3754	323	28	stock	stock	NOUN
fcis-3754	323	29	trading	trading	NOUN
fcis-3754	323	30	recommendations	recommendation	NOUN
fcis-3754	323	31	:	:	PUNCT
fcis-3754	323	32	an	an	DET
fcis-3754	323	33	empirical	empirical	ADJ
fcis-3754	323	34	study	study	NOUN
fcis-3754	323	35	[	[	X
fcis-3754	323	36	j	j	X
fcis-3754	323	37	]	]	X
fcis-3754	323	38	.	.	PUNCT
fcis-3754	324	1	expert	expert	NOUN
fcis-3754	324	2	systems	system	NOUN
fcis-3754	324	3	with	with	ADP
fcis-3754	324	4	applications	application	NOUN
fcis-3754	324	5	,	,	PUNCT
fcis-3754	324	6	2017	2017	NUM
fcis-3754	324	7	,	,	PUNCT
fcis-3754	324	8	70	70	NUM
fcis-3754	324	9	:	:	SYM
fcis-3754	324	10	20	20	NUM
fcis-3754	324	11	-	-	SYM
fcis-3754	324	12	36	36	NUM
fcis-3754	324	13	.	.	PUNCT
fcis-3754	325	1	[	[	X
fcis-3754	325	2	4	4	X
fcis-3754	325	3	]	]	PUNCT
fcis-3754	325	4	ghadhab	ghadhab	PROPN
fcis-3754	325	5	i.	i.	NOUN
fcis-3754	325	6	the	the	DET
fcis-3754	325	7	effect	effect	NOUN
fcis-3754	325	8	of	of	ADP
fcis-3754	325	9	additional	additional	ADJ
fcis-3754	325	10	foreign	foreign	ADJ
fcis-3754	325	11	market	market	NOUN
fcis-3754	325	12	presence	presence	NOUN
fcis-3754	325	13	on	on	ADP
fcis-3754	325	14	the	the	DET
fcis-3754	325	15	trading	trading	NOUN
fcis-3754	325	16	volume	volume	NOUN
fcis-3754	325	17	of	of	ADP
fcis-3754	325	18	cross	cross	ADJ
fcis-3754	325	19	-	-	ADJ
fcis-3754	325	20	listed	list	VERB
fcis-3754	325	21	/	/	SYM
fcis-3754	325	22	traded	trade	VERB
fcis-3754	325	23	stocks	stock	NOUN
fcis-3754	326	1	[	[	X
fcis-3754	326	2	j	j	X
fcis-3754	326	3	]	]	X
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fcis-3754	327	13	27	27	NUM
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fcis-3754	331	33	,	,	PUNCT
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fcis-3754	333	5	indicators	indicator	NOUN
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fcis-3754	333	17	system[c]//software	system[c]//software	NOUN
fcis-3754	333	18	engineering	engineering	NOUN
fcis-3754	333	19	and	and	CCONJ
fcis-3754	333	20	service	service	NOUN
fcis-3754	333	21	science	science	NOUN
fcis-3754	333	22	(	(	PUNCT
fcis-3754	333	23	icsess	icsess	NOUN
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fcis-3754	333	25	,	,	PUNCT
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fcis-3754	333	28	ieee	ieee	PROPN
fcis-3754	333	29	international	international	ADJ
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fcis-3754	333	31	on	on	ADP
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fcis-3754	334	6	-	-	SYM
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fcis-3754	335	20	analysis	analysis	NOUN
fcis-3754	335	21	with	with	ADP
fcis-3754	335	22	pgms	pgms	NOUN
fcis-3754	335	23	using	use	VERB
fcis-3754	335	24	amidst[c]//data	amidst[c]//data	PROPN
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fcis-3754	335	36	4	4	NUM
fcis-3754	335	37	2	2	NUM
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fcis-3754	336	193	5	5	NUM
fcis-3754	336	194	1	1	NUM
fcis-3754	336	195	6	6	NUM
fcis-3754	336	196	9	9	NUM
fcis-3754	336	197	1	1	NUM
fcis-3754	336	198	8	8	NUM
fcis-3754	336	199	3	3	NUM
fcis-3754	336	200	1	1	NUM
fcis-3754	336	201	9	9	NUM
fcis-3754	336	202	7	7	NUM
fcis-3754	336	203	2	2	NUM
fcis-3754	336	204	1	1	NUM
fcis-3754	336	205	1	1	NUM
fcis-3754	336	206	2	2	NUM
fcis-3754	336	207	2	2	NUM
fcis-3754	336	208	5	5	NUM
fcis-3754	336	209	2	2	NUM
fcis-3754	336	210	3	3	NUM
fcis-3754	336	211	9	9	NUM
fcis-3754	336	212	cluster	cluster	NOUN
fcis-3754	336	213	2	2	NUM
fcis-3754	336	214	of	of	ADP
fcis-3754	336	215	canopy+kmeans	canopy+kmeans	PROPN
fcis-3754	336	216	40	40	NUM
fcis-3754	336	217	workshops	workshop	NOUN
fcis-3754	336	218	(	(	PUNCT
fcis-3754	336	219	icdmw	icdmw	PROPN
fcis-3754	336	220	)	)	PUNCT
fcis-3754	336	221	,	,	PUNCT
fcis-3754	336	222	2016	2016	NUM
fcis-3754	336	223	ieee	ieee	NOUN
fcis-3754	336	224	16th	16th	ADJ
fcis-3754	336	225	international	international	ADJ
fcis-3754	336	226	conference	conference	NOUN
fcis-3754	336	227	on	on	ADP
fcis-3754	336	228	.	.	PUNCT
fcis-3754	337	1	ieee	ieee	PROPN
fcis-3754	337	2	,	,	PUNCT
fcis-3754	337	3	2016	2016	NUM
fcis-3754	337	4	:	:	PUNCT
fcis-3754	337	5	1284	1284	NUM
fcis-3754	337	6	-	-	SYM
fcis-3754	337	7	1287	1287	NUM
fcis-3754	337	8	.	.	PUNCT
fcis-3754	338	1	[	[	X
fcis-3754	338	2	9	9	NUM
fcis-3754	338	3	]	]	PUNCT
fcis-3754	338	4	papavassiliou	papavassiliou	NOUN
fcis-3754	338	5	v	v	ADP
fcis-3754	338	6	g.	g.	NOUN
fcis-3754	338	7	allowing	allow	VERB
fcis-3754	338	8	for	for	ADP
fcis-3754	338	9	jump	jump	NOUN
fcis-3754	338	10	measurements	measurement	NOUN
fcis-3754	338	11	in	in	ADP
fcis-3754	338	12	volatility	volatility	NOUN
fcis-3754	338	13	:	:	PUNCT
fcis-3754	338	14	a	a	DET
fcis-3754	338	15	high‐frequency	high‐frequency	NOUN
fcis-3754	338	16	financial	financial	ADJ
fcis-3754	338	17	data	datum	NOUN
fcis-3754	338	18	analysis	analysis	NOUN
fcis-3754	338	19	of	of	ADP
fcis-3754	338	20	individual	individual	ADJ
fcis-3754	338	21	stocks	stock	NOUN
fcis-3754	339	1	[	[	X
fcis-3754	339	2	j	j	X
fcis-3754	339	3	]	]	X
fcis-3754	339	4	.	.	PUNCT
fcis-3754	340	1	bulletin	bulletin	NOUN
fcis-3754	340	2	of	of	ADP
fcis-3754	340	3	economic	economic	ADJ
fcis-3754	340	4	research	research	NOUN
fcis-3754	340	5	,	,	PUNCT
fcis-3754	340	6	2016	2016	NUM
fcis-3754	340	7	,	,	PUNCT
fcis-3754	340	8	68(2	68(2	NOUN
fcis-3754	340	9	):	):	PUNCT
fcis-3754	340	10	124	124	NUM
fcis-3754	340	11	-	-	SYM
fcis-3754	340	12	132	132	NUM
fcis-3754	340	13	.	.	PUNCT
fcis-3754	341	1	[	[	X
fcis-3754	341	2	10	10	NUM
fcis-3754	341	3	]	]	X
fcis-3754	341	4	nazário	nazário	ADP
fcis-3754	341	5	r	r	NOUN
fcis-3754	341	6	t	t	PROPN
fcis-3754	341	7	f	f	X
fcis-3754	341	8	,	,	PUNCT
fcis-3754	341	9	e	e	PROPN
fcis-3754	341	10	silva	silva	PROPN
fcis-3754	341	11	j	j	PROPN
fcis-3754	341	12	l	l	PROPN
fcis-3754	341	13	,	,	PUNCT
fcis-3754	341	14	sobreiro	sobreiro	PROPN
fcis-3754	341	15	v	v	ADP
fcis-3754	341	16	a	a	PRON
fcis-3754	341	17	,	,	PUNCT
fcis-3754	341	18	et	et	PROPN
fcis-3754	341	19	al	al	PROPN
fcis-3754	341	20	.	.	PUNCT
fcis-3754	342	1	a	a	DET
fcis-3754	342	2	literature	literature	NOUN
fcis-3754	342	3	review	review	NOUN
fcis-3754	342	4	of	of	ADP
fcis-3754	342	5	technical	technical	ADJ
fcis-3754	342	6	analysis	analysis	NOUN
fcis-3754	342	7	on	on	ADP
fcis-3754	342	8	stock	stock	NOUN
fcis-3754	342	9	markets	market	NOUN
fcis-3754	342	10	[	[	X
fcis-3754	342	11	j	j	X
fcis-3754	342	12	]	]	X
fcis-3754	342	13	.	.	PUNCT
fcis-3754	343	1	the	the	DET
fcis-3754	343	2	quarterly	quarterly	ADJ
fcis-3754	343	3	review	review	NOUN
fcis-3754	343	4	of	of	ADP
fcis-3754	343	5	economics	economic	NOUN
fcis-3754	343	6	and	and	CCONJ
fcis-3754	343	7	finance	finance	NOUN
fcis-3754	343	8	,	,	PUNCT
fcis-3754	343	9	2017	2017	NUM
fcis-3754	343	10	.	.	PUNCT
fcis-3754	344	1	[	[	X
fcis-3754	344	2	11	11	NUM
fcis-3754	344	3	]	]	X
fcis-3754	344	4	hilkevics	hilkevics	PROPN
fcis-3754	344	5	s	s	PART
fcis-3754	344	6	,	,	PUNCT
fcis-3754	344	7	zablockis	zablockis	NOUN
fcis-3754	344	8	a.	a.	NOUN
fcis-3754	344	9	the	the	DET
fcis-3754	344	10	combination	combination	NOUN
fcis-3754	344	11	of	of	ADP
fcis-3754	344	12	fundamental	fundamental	ADJ
fcis-3754	344	13	and	and	CCONJ
fcis-3754	344	14	technical	technical	ADJ
fcis-3754	344	15	analysis	analysis	NOUN
fcis-3754	344	16	in	in	ADP
fcis-3754	344	17	portfolio	portfolio	NOUN
fcis-3754	344	18	optimization	optimization	NOUN
fcis-3754	344	19	[	[	X
fcis-3754	344	20	j	j	X
fcis-3754	344	21	]	]	X
fcis-3754	344	22	.	.	PUNCT
fcis-3754	345	1	regional	regional	PROPN
fcis-3754	345	2	review	review	PROPN
fcis-3754	345	3	/	/	SYM
fcis-3754	345	4	regionalais	regionalais	PROPN
fcis-3754	345	5	zinojums	zinojum	NOUN
fcis-3754	345	6	,	,	PUNCT
fcis-3754	345	7	2016	2016	NUM
fcis-3754	345	8	(	(	PUNCT
fcis-3754	345	9	12	12	NUM
fcis-3754	345	10	)	)	PUNCT
fcis-3754	345	11	.	.	PUNCT
fcis-3754	346	1	[	[	X
fcis-3754	346	2	12	12	NUM
fcis-3754	346	3	]	]	PUNCT
fcis-3754	346	4	wei	wei	PROPN
fcis-3754	346	5	l	l	PROPN
fcis-3754	346	6	y	y	PROPN
fcis-3754	346	7	,	,	PUNCT
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fcis-3754	346	9	c	c	PROPN
fcis-3754	346	10	h	h	PROPN
fcis-3754	346	11	,	,	PUNCT
fcis-3754	346	12	wu	wu	PROPN
fcis-3754	346	13	h	h	PROPN
fcis-3754	346	14	h.	h.	PROPN
fcis-3754	346	15	a	a	DET
fcis-3754	346	16	hybrid	hybrid	ADJ
fcis-3754	346	17	anfis	anfis	NOUN
fcis-3754	346	18	based	base	VERB
fcis-3754	346	19	on	on	ADP
fcis-3754	346	20	nperiod	nperiod	NOUN
fcis-3754	346	21	moving	move	VERB
fcis-3754	346	22	average	average	ADJ
fcis-3754	346	23	model	model	NOUN
fcis-3754	346	24	to	to	PART
fcis-3754	346	25	forecast	forecast	VERB
fcis-3754	346	26	taiex	taiex	VERB
fcis-3754	346	27	stock	stock	NOUN
fcis-3754	347	1	[	[	X
fcis-3754	347	2	j	j	X
fcis-3754	347	3	]	]	X
fcis-3754	347	4	.	.	PUNCT
fcis-3754	348	1	applied	apply	VERB
fcis-3754	348	2	soft	soft	ADJ
fcis-3754	348	3	computing	computing	NOUN
fcis-3754	348	4	,	,	PUNCT
fcis-3754	348	5	2014	2014	NUM
fcis-3754	348	6	,	,	PUNCT
fcis-3754	348	7	19	19	NUM
fcis-3754	348	8	:	:	SYM
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fcis-3754	348	10	-	-	SYM
fcis-3754	348	11	92	92	NUM
fcis-3754	348	12	.	.	PUNCT
fcis-3754	349	1	[	[	X
fcis-3754	349	2	13	13	NUM
fcis-3754	349	3	]	]	X
fcis-3754	349	4	billah	billah	PROPN
fcis-3754	349	5	m	m	PROPN
fcis-3754	349	6	,	,	PUNCT
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fcis-3754	349	9	,	,	PUNCT
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fcis-3754	349	12	stock	stock	PROPN
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fcis-3754	349	14	prediction	prediction	NOUN
fcis-3754	349	15	using	use	VERB
fcis-3754	349	16	an	an	DET
fcis-3754	349	17	improved	improved	ADJ
fcis-3754	349	18	training	training	NOUN
fcis-3754	349	19	algorithm	algorithm	NOUN
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fcis-3754	349	23	,	,	PUNCT
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fcis-3754	349	25	&	&	CCONJ
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fcis-3754	349	27	engineering	engineering	PROPN
fcis-3754	349	28	(	(	PUNCT
fcis-3754	349	29	icecte	icecte	NOUN
fcis-3754	349	30	)	)	PUNCT
fcis-3754	349	31	,	,	PUNCT
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fcis-3754	349	33	conference	conference	NOUN
fcis-3754	349	34	on	on	ADP
fcis-3754	349	35	.	.	PUNCT
fcis-3754	350	1	ieee	ieee	PROPN
fcis-3754	350	2	,	,	PUNCT
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fcis-3754	350	4	:	:	PUNCT
fcis-3754	350	5	1	1	NUM
fcis-3754	350	6	-	-	SYM
fcis-3754	350	7	4	4	NUM
fcis-3754	350	8	.	.	PUNCT
fcis-3754	351	1	[	[	X
fcis-3754	351	2	14	14	NUM
fcis-3754	351	3	]	]	X
fcis-3754	351	4	al	al	PROPN
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fcis-3754	351	7	,	,	PUNCT
fcis-3754	351	8	tucker	tucker	PROPN
fcis-3754	351	9	a	a	X
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fcis-3754	352	1	de	de	PROPN
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fcis-3754	352	3	s.	s.	PROPN
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fcis-3754	352	6	semantic	semantic	ADJ
fcis-3754	352	7	terms	term	NOUN
fcis-3754	352	8	’	'	PUNCT
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fcis-3754	352	10	behavior	behavior	NOUN
fcis-3754	352	11	in	in	ADP
fcis-3754	352	12	financial	financial	ADJ
fcis-3754	352	13	markets	market	NOUN
fcis-3754	352	14	:	:	PUNCT
fcis-3754	352	15	an	an	DET
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fcis-3754	352	17	application	application	NOUN
fcis-3754	352	18	of	of	ADP
fcis-3754	352	19	decision	decision	NOUN
fcis-3754	352	20	tree	tree	NOUN
fcis-3754	352	21	algorithms	algorithm	NOUN
fcis-3754	353	1	[	[	X
fcis-3754	353	2	j	j	X
fcis-3754	353	3	]	]	X
fcis-3754	353	4	.	.	PUNCT
fcis-3754	354	1	expert	expert	NOUN
fcis-3754	354	2	systems	system	NOUN
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fcis-3754	354	5	,	,	PUNCT
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fcis-3754	354	7	,	,	PUNCT
fcis-3754	354	8	42(23	42(23	NOUN
fcis-3754	354	9	):	):	PUNCT
fcis-3754	354	10	9192	9192	NUM
fcis-3754	354	11	-	-	SYM
fcis-3754	354	12	9210	9210	NUM
fcis-3754	354	13	.	.	PUNCT
fcis-3754	355	1	[	[	X
fcis-3754	355	2	15	15	NUM
fcis-3754	355	3	]	]	X
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fcis-3754	355	7	,	,	PUNCT
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fcis-3754	355	13	at	at	ADP
fcis-3754	355	14	-	-	PUNCT
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fcis-3754	355	17	for	for	ADP
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fcis-3754	355	21	futures	future	NOUN
fcis-3754	355	22	:	:	PUNCT
fcis-3754	355	23	fat	fat	ADJ
fcis-3754	355	24	tails	tail	NOUN
fcis-3754	355	25	and	and	CCONJ
fcis-3754	355	26	conditional	conditional	ADJ
fcis-3754	355	27	asymmetries	asymmetry	NOUN
fcis-3754	355	28	in	in	ADP
fcis-3754	355	29	return	return	NOUN
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fcis-3754	355	31	[	[	X
fcis-3754	355	32	j	j	X
fcis-3754	355	33	]	]	X
fcis-3754	355	34	.	.	PUNCT
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fcis-3754	356	2	of	of	ADP
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fcis-3754	356	6	accounting	accounting	NOUN
fcis-3754	356	7	,	,	PUNCT
fcis-3754	356	8	2004	2004	NUM
fcis-3754	356	9	,	,	PUNCT
fcis-3754	356	10	22(2	22(2	NUM
fcis-3754	356	11	):	):	PUNCT
fcis-3754	356	12	79	79	NUM
fcis-3754	356	13	-	-	SYM
fcis-3754	356	14	95	95	NUM
fcis-3754	356	15	.	.	PUNCT
fcis-3754	357	1	[	[	X
fcis-3754	357	2	16	16	NUM
fcis-3754	357	3	]	]	X
fcis-3754	357	4	su	su	PROPN
fcis-3754	357	5	j	j	PROPN
fcis-3754	357	6	b.	b.	PROPN
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fcis-3754	357	9	of	of	ADP
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fcis-3754	357	11	memory	memory	NOUN
fcis-3754	357	12	,	,	PUNCT
fcis-3754	357	13	leverage	leverage	NOUN
fcis-3754	357	14	,	,	PUNCT
fcis-3754	357	15	and	and	CCONJ
fcis-3754	357	16	distribution	distribution	NOUN
fcis-3754	357	17	effects	effect	NOUN
fcis-3754	357	18	for	for	ADP
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fcis-3754	357	20	market	market	NOUN
fcis-3754	357	21	risk	risk	NOUN
fcis-3754	357	22	estimates	estimate	VERB
fcis-3754	357	23	[	[	X
fcis-3754	357	24	j	j	X
fcis-3754	357	25	]	]	X
fcis-3754	357	26	.	.	PUNCT
fcis-3754	358	1	the	the	DET
fcis-3754	358	2	north	north	ADJ
fcis-3754	358	3	american	american	PROPN
fcis-3754	358	4	journal	journal	PROPN
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fcis-3754	358	8	finance	finance	NOUN
fcis-3754	358	9	,	,	PUNCT
fcis-3754	358	10	2014	2014	NUM
fcis-3754	358	11	,	,	PUNCT
fcis-3754	358	12	30	30	NUM
fcis-3754	358	13	:	:	SYM
fcis-3754	358	14	1	1	NUM
fcis-3754	358	15	-	-	SYM
fcis-3754	358	16	39	39	NUM
fcis-3754	358	17	.	.	PUNCT
fcis-3754	359	1	[	[	X
fcis-3754	359	2	17	17	NUM
fcis-3754	359	3	]	]	X
fcis-3754	359	4	smith	smith	PROPN
fcis-3754	359	5	g	g	PROPN
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fcis-3754	359	7	new	new	ADJ
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fcis-3754	359	9	on	on	ADP
fcis-3754	359	10	sources	source	NOUN
fcis-3754	359	11	of	of	ADP
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fcis-3754	359	13	effects	effect	NOUN
fcis-3754	359	14	in	in	ADP
fcis-3754	359	15	individual	individual	ADJ
fcis-3754	359	16	stocks	stock	NOUN
fcis-3754	359	17	[	[	X
fcis-3754	359	18	j	j	X
fcis-3754	359	19	]	]	X
fcis-3754	359	20	.	.	PUNCT
fcis-3754	360	1	financial	financial	PROPN
fcis-3754	360	2	review	review	PROPN
fcis-3754	360	3	,	,	PUNCT
fcis-3754	360	4	2015	2015	NUM
fcis-3754	360	5	,	,	PUNCT
fcis-3754	360	6	50(3	50(3	NUM
fcis-3754	360	7	):	):	PUNCT
fcis-3754	360	8	331	331	NUM
fcis-3754	360	9	-	-	SYM
fcis-3754	360	10	340	340	NUM
fcis-3754	360	11	.	.	PUNCT
fcis-3754	361	1	[	[	X
fcis-3754	361	2	18	18	NUM
fcis-3754	361	3	]	]	X
fcis-3754	361	4	mensi	mensi	PROPN
fcis-3754	361	5	w	w	PROPN
fcis-3754	361	6	,	,	PUNCT
fcis-3754	361	7	hammoudeh	hammoudeh	VERB
fcis-3754	361	8	s	s	PROPN
fcis-3754	361	9	,	,	PUNCT
fcis-3754	361	10	kang	kang	PROPN
fcis-3754	361	11	s	s	PROPN
fcis-3754	361	12	h.	h.	PROPN
fcis-3754	361	13	dynamic	dynamic	ADJ
fcis-3754	361	14	linkages	linkage	NOUN
fcis-3754	361	15	between	between	ADP
fcis-3754	361	16	developed	develop	VERB
fcis-3754	361	17	and	and	CCONJ
fcis-3754	361	18	brics	brics	NOUN
fcis-3754	361	19	stock	stock	NOUN
fcis-3754	361	20	markets	market	NOUN
fcis-3754	361	21	:	:	PUNCT
fcis-3754	361	22	portfolio	portfolio	NOUN
fcis-3754	361	23	risk	risk	NOUN
fcis-3754	361	24	analysis	analysis	NOUN
fcis-3754	361	25	[	[	X
fcis-3754	361	26	j	j	X
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fcis-3754	361	28	.	.	PUNCT
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fcis-3754	362	6	,	,	PUNCT
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fcis-3754	362	8	:	:	SYM
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fcis-3754	362	10	-	-	SYM
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fcis-3754	362	12	.	.	PUNCT
fcis-3754	363	1	[	[	X
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fcis-3754	364	1	an	an	DET
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fcis-3754	364	4	-	-	PUNCT
fcis-3754	364	5	based	base	VERB
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fcis-3754	364	8	mining	mining	NOUN
fcis-3754	364	9	association	association	NOUN
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fcis-3754	364	11	[	[	X
fcis-3754	364	12	m	m	X
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fcis-3754	364	14	.	.	PUNCT
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fcis-3754	364	16	,	,	PUNCT
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fcis-3754	364	18	.	.	PUNCT
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fcis-3754	365	3	]	]	X
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fcis-3754	365	13	:	:	PUNCT
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fcis-3754	365	19	market	market	NOUN
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fcis-3754	365	25	(	(	PUNCT
fcis-3754	365	26	csiec	csiec	PROPN
fcis-3754	365	27	)	)	PUNCT
fcis-3754	365	28	,	,	PUNCT
fcis-3754	365	29	2017	2017	NUM
fcis-3754	365	30	2nd	2nd	ADJ
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fcis-3754	365	32	on	on	ADP
fcis-3754	365	33	.	.	PUNCT
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fcis-3754	365	35	,	,	PUNCT
fcis-3754	365	36	2017	2017	NUM
fcis-3754	365	37	:	:	PUNCT
fcis-3754	365	38	106	106	NUM
fcis-3754	365	39	-	-	SYM
fcis-3754	365	40	111	111	NUM
fcis-3754	365	41	.	.	PUNCT
fcis-3754	366	1	[	[	X
fcis-3754	366	2	21	21	NUM
fcis-3754	366	3	]	]	PUNCT
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fcis-3754	366	5	r	r	PROPN
fcis-3754	366	6	,	,	PUNCT
fcis-3754	366	7	natarajan	natarajan	PROPN
fcis-3754	366	8	j.	j.	PROPN
fcis-3754	366	9	performance	performance	PROPN
fcis-3754	366	10	evaluation	evaluation	NOUN
fcis-3754	366	11	of	of	ADP
fcis-3754	366	12	association	association	NOUN
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fcis-3754	366	18	algorithm	algorithm	NOUN
fcis-3754	366	19	incorporated	incorporate	VERB
fcis-3754	366	20	with	with	ADP
fcis-3754	366	21	artificial	artificial	ADJ
fcis-3754	366	22	bee	bee	NOUN
fcis-3754	366	23	colony	colony	NOUN
fcis-3754	366	24	optimization	optimization	NOUN
fcis-3754	366	25	algorithm	algorithm	NOUN
fcis-3754	366	26	[	[	X
fcis-3754	366	27	j	j	X
fcis-3754	366	28	]	]	X
fcis-3754	366	29	,	,	PUNCT
fcis-3754	366	30	2017	2017	NUM
fcis-3754	366	31	.	.	PUNCT
fcis-3754	367	1	[	[	X
fcis-3754	367	2	22	22	NUM
fcis-3754	367	3	]	]	X
fcis-3754	367	4	isa	isa	PROPN
fcis-3754	367	5	d	d	PROPN
fcis-3754	367	6	,	,	PUNCT
fcis-3754	367	7	kallimani	kallimani	VERB
fcis-3754	367	8	v	v	ADP
fcis-3754	367	9	p	p	PROPN
fcis-3754	367	10	,	,	PUNCT
fcis-3754	367	11	lee	lee	PROPN
fcis-3754	367	12	l	l	PROPN
fcis-3754	367	13	h.	h.	PROPN
fcis-3754	367	14	using	use	VERB
fcis-3754	367	15	the	the	DET
fcis-3754	367	16	self	self	NOUN
fcis-3754	367	17	organizing	organizing	NOUN
fcis-3754	367	18	map	map	NOUN
fcis-3754	367	19	for	for	ADP
fcis-3754	367	20	clustering	clustering	NOUN
fcis-3754	367	21	of	of	ADP
fcis-3754	367	22	text	text	NOUN
fcis-3754	367	23	documents	document	NOUN
fcis-3754	368	1	[	[	X
fcis-3754	368	2	j	j	X
fcis-3754	368	3	]	]	X
fcis-3754	368	4	.	.	PUNCT
fcis-3754	369	1	expert	expert	NOUN
fcis-3754	369	2	systems	system	NOUN
fcis-3754	369	3	with	with	ADP
fcis-3754	369	4	applications	application	NOUN
fcis-3754	369	5	,	,	PUNCT
fcis-3754	369	6	2009	2009	NUM
fcis-3754	369	7	,	,	PUNCT
fcis-3754	369	8	36(5	36(5	NUM
fcis-3754	369	9	):	):	PUNCT
fcis-3754	369	10	9584	9584	NUM
fcis-3754	369	11	-	-	SYM
fcis-3754	369	12	9591	9591	NUM
fcis-3754	369	13	.	.	PUNCT
fcis-3754	370	1	[	[	X
fcis-3754	370	2	23	23	NUM
fcis-3754	370	3	]	]	X
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fcis-3754	370	5	m	m	NOUN
fcis-3754	370	6	o	o	NOUN
fcis-3754	370	7	,	,	PUNCT
fcis-3754	370	8	olude	olude	NOUN
fcis-3754	370	9	o.	o.	NOUN
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fcis-3754	370	11	stock	stock	NOUN
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fcis-3754	370	13	using	use	VERB
fcis-3754	370	14	a	a	DET
fcis-3754	370	15	hybrid	hybrid	ADJ
fcis-3754	370	16	kohonen	kohonen	NOUN
fcis-3754	370	17	self	self	NOUN
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fcis-3754	370	19	map	map	NOUN
fcis-3754	370	20	(	(	PUNCT
fcis-3754	370	21	som	som	NOUN
fcis-3754	370	22	)	)	PUNCT
fcis-3754	371	1	[	[	X
fcis-3754	371	2	c]//system	c]//system	NOUN
fcis-3754	371	3	sciences	science	NOUN
fcis-3754	371	4	,	,	PUNCT
fcis-3754	371	5	2007	2007	NUM
fcis-3754	371	6	.	.	PUNCT
fcis-3754	372	1	hicss	hicss	PROPN
fcis-3754	372	2	2007	2007	NUM
fcis-3754	372	3	.	.	PUNCT
fcis-3754	373	1	40th	40th	ADJ
fcis-3754	373	2	annual	annual	ADJ
fcis-3754	373	3	hawaii	hawaii	PROPN
fcis-3754	373	4	international	international	PROPN
fcis-3754	373	5	conference	conference	NOUN
fcis-3754	373	6	on	on	ADP
fcis-3754	373	7	.	.	PUNCT
fcis-3754	374	1	ieee	ieee	PROPN
fcis-3754	374	2	,	,	PUNCT
fcis-3754	374	3	2007	2007	NUM
fcis-3754	374	4	:	:	PUNCT
fcis-3754	374	5	48	48	NUM
fcis-3754	374	6	-	-	SYM
fcis-3754	374	7	48	48	NUM
fcis-3754	374	8	.	.	PUNCT
fcis-3754	375	1	[	[	X
fcis-3754	375	2	24	24	NUM
fcis-3754	375	3	]	]	PUNCT
fcis-3754	375	4	lertyingyod	lertyingyod	PROPN
fcis-3754	375	5	w	w	PROPN
fcis-3754	375	6	,	,	PUNCT
fcis-3754	375	7	benjamas	benjamas	PROPN
fcis-3754	375	8	n.	n.	PROPN
fcis-3754	375	9	stock	stock	NOUN
fcis-3754	375	10	price	price	NOUN
fcis-3754	375	11	trend	trend	NOUN
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fcis-3754	375	13	using	use	VERB
fcis-3754	375	14	artificial	artificial	ADJ
fcis-3754	375	15	neural	neural	ADJ
fcis-3754	375	16	network	network	NOUN
fcis-3754	375	17	techniques	technique	NOUN
fcis-3754	375	18	:	:	PUNCT
fcis-3754	375	19	case	case	NOUN
fcis-3754	375	20	study	study	NOUN
fcis-3754	375	21	:	:	PUNCT
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fcis-3754	375	23	stock	stock	PROPN
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fcis-3754	375	29	(	(	PUNCT
fcis-3754	375	30	icsec	icsec	NOUN
fcis-3754	375	31	)	)	PUNCT
fcis-3754	375	32	,	,	PUNCT
fcis-3754	375	33	2016	2016	NUM
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fcis-3754	375	35	.	.	PUNCT
fcis-3754	375	36	ieee	ieee	PROPN
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fcis-3754	375	39	:	:	PUNCT
fcis-3754	376	1	1	1	NUM
fcis-3754	376	2	-	-	SYM
fcis-3754	376	3	6	6	NUM
fcis-3754	376	4	.	.	PUNCT
fcis-3754	377	1	[	[	X
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fcis-3754	377	3	]	]	PUNCT
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fcis-3754	377	6	,	,	PUNCT
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fcis-3754	378	4	companies	company	NOUN
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fcis-3754	379	1	[	[	X
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fcis-3754	379	4	.	.	PUNCT
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fcis-3754	380	13	):	):	PUNCT
fcis-3754	380	14	196206	196206	NUM
fcis-3754	380	15	.	.	PUNCT
fcis-3754	381	1	[	[	X
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fcis-3754	381	3	]	]	PUNCT
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fcis-3754	381	12	time	time	NOUN
fcis-3754	381	13	series	series	NOUN
fcis-3754	381	14	with	with	ADP
fcis-3754	381	15	application	application	NOUN
fcis-3754	381	16	to	to	ADP
fcis-3754	381	17	index	index	NOUN
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fcis-3754	382	1	[	[	X
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fcis-3754	383	11	,	,	PUNCT
fcis-3754	383	12	355(1	355(1	NUM
fcis-3754	383	13	):	):	PUNCT
fcis-3754	383	14	145	145	NUM
fcis-3754	383	15	-	-	SYM
fcis-3754	383	16	151	151	NUM
fcis-3754	383	17	.	.	PUNCT
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fcis-3754	384	3	]	]	X
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fcis-3754	385	1	[	[	X
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fcis-3754	385	3	]	]	X
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fcis-3754	386	5	,	,	PUNCT
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fcis-3754	386	7	,	,	PUNCT
fcis-3754	386	8	37(12	37(12	NUM
fcis-3754	386	9	):	):	PUNCT
fcis-3754	386	10	8793	8793	NUM
fcis-3754	386	11	-	-	SYM
fcis-3754	386	12	8798	8798	NUM
fcis-3754	386	13	.	.	PUNCT
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fcis-3754	387	3	]	]	X
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fcis-3754	387	10	:	:	PUNCT
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fcis-3754	387	13	to	to	ADP
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fcis-3754	388	1	[	[	X
fcis-3754	388	2	m]//classification	m]//classification	NOUN
fcis-3754	388	3	,	,	PUNCT
fcis-3754	388	4	data	data	VERB
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fcis-3754	388	8	data	datum	NOUN
fcis-3754	388	9	highways	highway	NOUN
fcis-3754	388	10	.	.	PUNCT
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fcis-3754	389	4	,	,	PUNCT
fcis-3754	389	5	heidelberg	heidelberg	PROPN
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fcis-3754	389	8	:	:	PUNCT
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fcis-3754	389	10	-	-	SYM
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fcis-3754	390	6	k	k	PROPN
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fcis-3754	390	9	mishra	mishra	PROPN
fcis-3754	390	10	s.	s.	PROPN
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fcis-3754	390	12	time	time	PROPN
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fcis-3754	390	14	data	data	PROPN
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fcis-3754	390	17	tid	tid	NOUN
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fcis-3754	390	20	(	(	PUNCT
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fcis-3754	390	23	,	,	PUNCT
fcis-3754	390	24	2016	2016	NUM
fcis-3754	390	25	international	international	ADJ
fcis-3754	390	26	conference	conference	NOUN
fcis-3754	390	27	on	on	ADP
fcis-3754	390	28	.	.	PUNCT
fcis-3754	391	1	ieee	ieee	PROPN
fcis-3754	391	2	,	,	PUNCT
fcis-3754	391	3	2016	2016	NUM
fcis-3754	391	4	:	:	PUNCT
fcis-3754	391	5	160	160	NUM
fcis-3754	391	6	-	-	SYM
fcis-3754	391	7	164	164	NUM
fcis-3754	391	8	.	.	PUNCT
fcis-3754	392	1	[	[	X
fcis-3754	392	2	30	30	NUM
fcis-3754	392	3	]	]	X
fcis-3754	392	4	cardoso	cardoso	PROPN
fcis-3754	392	5	m	m	PROPN
fcis-3754	392	6	g	g	PROPN
fcis-3754	392	7	m	m	PROPN
fcis-3754	392	8	s	s	PROPN
fcis-3754	392	9	,	,	PUNCT
fcis-3754	392	10	de	de	X
fcis-3754	392	11	carvalho	carvalho	NOUN
fcis-3754	392	12	a	a	DET
fcis-3754	392	13	p	p	X
fcis-3754	392	14	l.	l.	PROPN
fcis-3754	392	15	quality	quality	PROPN
fcis-3754	392	16	indices	indice	VERB
fcis-3754	392	17	for	for	ADP
fcis-3754	392	18	(	(	PUNCT
fcis-3754	392	19	practical	practical	ADJ
fcis-3754	392	20	)	)	PUNCT
fcis-3754	392	21	clustering	cluster	VERB
fcis-3754	392	22	evaluation	evaluation	NOUN
fcis-3754	392	23	[	[	X
fcis-3754	392	24	j	j	X
fcis-3754	392	25	]	]	X
fcis-3754	392	26	.	.	PUNCT
fcis-3754	393	1	intelligent	intelligent	ADJ
fcis-3754	393	2	data	datum	NOUN
fcis-3754	393	3	analysis	analysis	NOUN
fcis-3754	393	4	,	,	PUNCT
fcis-3754	393	5	2009	2009	NUM
fcis-3754	393	6	,	,	PUNCT
fcis-3754	393	7	13(5	13(5	NUM
fcis-3754	393	8	):	):	PUNCT
fcis-3754	393	9	725	725	NUM
fcis-3754	393	10	-	-	SYM
fcis-3754	393	11	740	740	NUM
fcis-3754	393	12	.	.	PUNCT
fcis-3754	394	1	[	[	X
fcis-3754	394	2	31	31	NUM
fcis-3754	394	3	]	]	X
fcis-3754	394	4	amorim	amorim	PROPN
fcis-3754	394	5	m	m	PROPN
fcis-3754	394	6	j	j	PROPN
fcis-3754	394	7	,	,	PUNCT
fcis-3754	394	8	cardoso	cardoso	PROPN
fcis-3754	394	9	m	m	PROPN
fcis-3754	395	1	g	g	AUX
fcis-3754	395	2	m	m	PROPN
fcis-3754	395	3	s.	s.	PROPN
fcis-3754	395	4	comparing	compare	VERB
fcis-3754	395	5	clustering	clustering	ADJ
fcis-3754	395	6	solutions	solution	NOUN
fcis-3754	395	7	:	:	PUNCT
fcis-3754	395	8	the	the	DET
fcis-3754	395	9	use	use	NOUN
fcis-3754	395	10	of	of	ADP
fcis-3754	395	11	adjusted	adjust	VERB
fcis-3754	395	12	paired	pair	VERB
fcis-3754	395	13	indices	index	NOUN
fcis-3754	396	1	[	[	X
fcis-3754	396	2	j	j	X
fcis-3754	396	3	]	]	X
fcis-3754	396	4	.	.	PUNCT
fcis-3754	397	1	intelligent	intelligent	ADJ
fcis-3754	397	2	data	datum	NOUN
fcis-3754	397	3	analysis	analysis	NOUN
fcis-3754	397	4	,	,	PUNCT
fcis-3754	397	5	2015	2015	NUM
fcis-3754	397	6	,	,	PUNCT
fcis-3754	397	7	19(6	19(6	NUM
fcis-3754	397	8	):	):	PUNCT
fcis-3754	397	9	1275	1275	NUM
fcis-3754	397	10	-	-	SYM
fcis-3754	397	11	1296	1296	NUM
fcis-3754	397	12	.	.	PUNCT
fcis-3754	398	1	[	[	X
fcis-3754	398	2	32	32	NUM
fcis-3754	398	3	]	]	X
fcis-3754	398	4	li	li	PROPN
fcis-3754	398	5	l	l	PROPN
fcis-3754	398	6	,	,	PUNCT
fcis-3754	398	7	he	he	PRON
fcis-3754	398	8	j	j	PROPN
fcis-3754	398	9	,	,	PUNCT
fcis-3754	398	10	sui	sui	PROPN
fcis-3754	398	11	x.	x.	NOUN
fcis-3754	398	12	research	research	PROPN
fcis-3754	398	13	on	on	ADP
fcis-3754	398	14	structural	structural	ADJ
fcis-3754	398	15	correlation	correlation	NOUN
fcis-3754	398	16	of	of	ADP
fcis-3754	398	17	hs	hs	PROPN
fcis-3754	398	18	300	300	NUM
fcis-3754	398	19	stock	stock	NOUN
fcis-3754	398	20	index	index	NOUN
fcis-3754	398	21	based	base	VERB
fcis-3754	398	22	on	on	ADP
fcis-3754	398	23	ar	ar	PROPN
fcis-3754	398	24	(	(	PUNCT
fcis-3754	398	25	n)-xarch	n)-xarch	NOUN
fcis-3754	398	26	-	-	PUNCT
fcis-3754	398	27	copula	copula	NOUN
fcis-3754	398	28	model[c]//management	model[c]//management	PROPN
fcis-3754	398	29	science	science	NOUN
fcis-3754	398	30	&	&	CCONJ
fcis-3754	398	31	engineering	engineering	PROPN
fcis-3754	398	32	(	(	PUNCT
fcis-3754	398	33	icmse	icmse	PROPN
fcis-3754	398	34	)	)	PUNCT
fcis-3754	398	35	,	,	PUNCT
fcis-3754	398	36	2014	2014	NUM
fcis-3754	398	37	international	international	ADJ
fcis-3754	398	38	conference	conference	NOUN
fcis-3754	398	39	on	on	ADP
fcis-3754	398	40	.	.	PUNCT
fcis-3754	399	1	ieee	ieee	PROPN
fcis-3754	399	2	,	,	PUNCT
fcis-3754	399	3	2014	2014	NUM
fcis-3754	399	4	:	:	PUNCT
fcis-3754	399	5	1190	1190	NUM
fcis-3754	399	6	-	-	SYM
fcis-3754	399	7	1194	1194	NUM
fcis-3754	399	8	.	.	PUNCT
fcis-3754	400	1	[	[	X
fcis-3754	400	2	33	33	NUM
fcis-3754	400	3	]	]	X
fcis-3754	400	4	kapil	kapil	PROPN
fcis-3754	400	5	s	s	PROPN
fcis-3754	400	6	,	,	PUNCT
fcis-3754	400	7	chawla	chawla	PROPN
fcis-3754	400	8	m.	m.	NOUN
fcis-3754	400	9	performance	performance	NOUN
fcis-3754	400	10	evaluation	evaluation	NOUN
fcis-3754	400	11	of	of	ADP
fcis-3754	400	12	k	k	NOUN
fcis-3754	400	13	-	-	PUNCT
fcis-3754	400	14	means	mean	VERB
fcis-3754	400	15	clustering	cluster	VERB
fcis-3754	400	16	algorithm	algorithm	NOUN
fcis-3754	400	17	with	with	ADP
fcis-3754	400	18	various	various	ADJ
fcis-3754	400	19	distance	distance	NOUN
fcis-3754	400	20	metrics[c]//power	metrics[c]//power	NOUN
fcis-3754	400	21	electronics	electronic	NOUN
fcis-3754	400	22	,	,	PUNCT
fcis-3754	400	23	intelligent	intelligent	ADJ
fcis-3754	400	24	control	control	NOUN
fcis-3754	400	25	and	and	CCONJ
fcis-3754	400	26	energy	energy	NOUN
fcis-3754	400	27	systems	system	NOUN
fcis-3754	400	28	(	(	PUNCT
fcis-3754	400	29	icpeices	icpeice	NOUN
fcis-3754	400	30	)	)	PUNCT
fcis-3754	400	31	,	,	PUNCT
fcis-3754	400	32	ieee	ieee	PROPN
fcis-3754	400	33	international	international	ADJ
fcis-3754	400	34	conference	conference	NOUN
fcis-3754	400	35	on	on	ADP
fcis-3754	400	36	.	.	PUNCT
fcis-3754	400	37	ieee	ieee	PROPN
fcis-3754	400	38	,	,	PUNCT
fcis-3754	400	39	2016	2016	NUM
fcis-3754	400	40	:	:	PUNCT
fcis-3754	400	41	1	1	NUM
fcis-3754	400	42	-	-	SYM
fcis-3754	400	43	4	4	NUM
fcis-3754	400	44	.	.	PUNCT
fcis-3754	401	1	[	[	X
fcis-3754	401	2	34	34	NUM
fcis-3754	401	3	]	]	X
fcis-3754	401	4	arthur	arthur	PROPN
fcis-3754	401	5	d	d	PROPN
fcis-3754	401	6	,	,	PUNCT
fcis-3754	401	7	vassilvitskii	vassilvitskii	ADJ
fcis-3754	401	8	s.	s.	PROPN
fcis-3754	401	9	k	k	PROPN
fcis-3754	401	10	-	-	PROPN
fcis-3754	401	11	means++	means++	NOUN
fcis-3754	401	12	:	:	PUNCT
fcis-3754	401	13	the	the	DET
fcis-3754	401	14	advantages	advantage	NOUN
fcis-3754	401	15	of	of	ADP
fcis-3754	401	16	careful	careful	ADJ
fcis-3754	401	17	seeding[c]//proceedings	seeding[c]//proceeding	NOUN
fcis-3754	401	18	of	of	ADP
fcis-3754	401	19	the	the	DET
fcis-3754	401	20	eighteenth	eighteenth	ADJ
fcis-3754	401	21	annual	annual	ADJ
fcis-3754	401	22	acm	acm	NOUN
fcis-3754	401	23	-	-	PUNCT
fcis-3754	401	24	siam	siam	NOUN
fcis-3754	401	25	symposium	symposium	NOUN
fcis-3754	401	26	on	on	ADP
fcis-3754	401	27	discrete	discrete	ADJ
fcis-3754	401	28	algorithms	algorithm	NOUN
fcis-3754	401	29	.	.	PUNCT
fcis-3754	402	1	society	society	NOUN
fcis-3754	402	2	for	for	ADP
fcis-3754	402	3	industrial	industrial	ADJ
fcis-3754	402	4	and	and	CCONJ
fcis-3754	402	5	applied	applied	ADJ
fcis-3754	402	6	mathematics	mathematic	NOUN
fcis-3754	402	7	,	,	PUNCT
fcis-3754	402	8	2007	2007	NUM
fcis-3754	402	9	:	:	PUNCT
fcis-3754	402	10	1027	1027	NUM
fcis-3754	402	11	-	-	SYM
fcis-3754	402	12	1035	1035	NUM
fcis-3754	402	13	.	.	PUNCT
fcis-3754	403	1	[	[	X
fcis-3754	403	2	35	35	NUM
fcis-3754	403	3	]	]	X
fcis-3754	403	4	zhu	zhu	PROPN
fcis-3754	403	5	z.	z.	PROPN
fcis-3754	403	6	a	a	DET
fcis-3754	403	7	clustering	clustering	ADJ
fcis-3754	403	8	method	method	NOUN
fcis-3754	403	9	for	for	ADP
fcis-3754	403	10	high	high	ADJ
fcis-3754	403	11	-	-	PUNCT
fcis-3754	403	12	dimensional	dimensional	ADJ
fcis-3754	403	13	data	datum	NOUN
fcis-3754	403	14	analysis	analysis	NOUN
fcis-3754	403	15	in	in	ADP
fcis-3754	403	16	stock	stock	NOUN
fcis-3754	403	17	market	market	NOUN
fcis-3754	404	1	[	[	X
fcis-3754	404	2	j	j	X
fcis-3754	404	3	]	]	X
fcis-3754	404	4	.	.	PUNCT
fcis-3754	405	1	risti	risti	NOUN
fcis-3754	405	2	(	(	PUNCT
fcis-3754	405	3	revista	revista	PROPN
fcis-3754	405	4	iberica	iberica	PROPN
fcis-3754	405	5	de	de	PROPN
fcis-3754	405	6	sistemas	sistemas	PROPN
fcis-3754	405	7	e	e	PROPN
fcis-3754	405	8	tecnologias	tecnologias	PROPN
fcis-3754	405	9	de	de	X
fcis-3754	405	10	informacao	informacao	PROPN
fcis-3754	405	11	)	)	PUNCT
fcis-3754	405	12	,	,	PUNCT
fcis-3754	405	13	2016	2016	NUM
fcis-3754	405	14	(	(	PUNCT
fcis-3754	405	15	17a	17a	NUM
fcis-3754	405	16	):	):	PUNCT
fcis-3754	405	17	116	116	NUM
fcis-3754	405	18	-	-	SYM
fcis-3754	405	19	125	125	NUM
fcis-3754	405	20	.	.	PUNCT
fcis-3754	406	1	[	[	X
fcis-3754	406	2	36	36	NUM
fcis-3754	406	3	]	]	X
fcis-3754	406	4	kumar	kumar	PROPN
fcis-3754	406	5	k	k	PROPN
fcis-3754	406	6	m	m	PROPN
fcis-3754	406	7	,	,	PUNCT
fcis-3754	406	8	reddy	reddy	PROPN
fcis-3754	406	9	a	a	DET
fcis-3754	406	10	r	r	NOUN
fcis-3754	406	11	m.	m.	NOUN
fcis-3754	406	12	an	an	DET
fcis-3754	406	13	efficient	efficient	ADJ
fcis-3754	406	14	k	k	ADJ
fcis-3754	406	15	-	-	PUNCT
fcis-3754	406	16	means	mean	VERB
fcis-3754	406	17	clustering	clustering	ADJ
fcis-3754	406	18	filtering	filter	VERB
fcis-3754	406	19	algorithm	algorithm	NOUN
fcis-3754	406	20	using	use	VERB
fcis-3754	406	21	density	density	NOUN
fcis-3754	406	22	based	base	VERB
fcis-3754	406	23	initial	initial	ADJ
fcis-3754	406	24	cluster	cluster	NOUN
fcis-3754	406	25	centers	center	NOUN
fcis-3754	407	1	[	[	X
fcis-3754	407	2	j	j	X
fcis-3754	407	3	]	]	X
fcis-3754	407	4	.	.	PUNCT
fcis-3754	408	1	information	information	NOUN
fcis-3754	408	2	sciences	sciences	PROPN
fcis-3754	408	3	,	,	PUNCT
fcis-3754	408	4	2017	2017	NUM
fcis-3754	408	5	.	.	PUNCT
fcis-3754	409	1	[	[	X
fcis-3754	409	2	37	37	NUM
fcis-3754	409	3	]	]	PUNCT
fcis-3754	409	4	xiong	xiong	PROPN
fcis-3754	409	5	c	c	PROPN
fcis-3754	409	6	,	,	PUNCT
fcis-3754	409	7	hua	hua	PROPN
fcis-3754	410	1	z	z	PROPN
fcis-3754	410	2	,	,	PUNCT
fcis-3754	410	3	lv	lv	PROPN
fcis-3754	410	4	k	k	PROPN
fcis-3754	410	5	,	,	PUNCT
fcis-3754	410	6	et	et	PROPN
fcis-3754	410	7	al	al	PROPN
fcis-3754	410	8	.	.	PUNCT
fcis-3754	411	1	an	an	DET
fcis-3754	411	2	improved	improved	ADJ
fcis-3754	411	3	k	k	NOUN
fcis-3754	411	4	-	-	PUNCT
fcis-3754	411	5	means	means	NOUN
fcis-3754	411	6	text	text	NOUN
fcis-3754	411	7	clustering	cluster	VERB
fcis-3754	411	8	algorithm	algorithm	NOUN
fcis-3754	411	9	by	by	ADP
fcis-3754	411	10	optimizing	optimize	VERB
fcis-3754	411	11	initial	initial	ADJ
fcis-3754	411	12	cluster	cluster	NOUN
fcis-3754	411	13	centers[c]//cloud	centers[c]//cloud	PROPN
fcis-3754	411	14	computing	computing	NOUN
fcis-3754	411	15	and	and	CCONJ
fcis-3754	411	16	big	big	ADJ
fcis-3754	411	17	data	datum	NOUN
fcis-3754	411	18	(	(	PUNCT
fcis-3754	411	19	ccbd	ccbd	PROPN
fcis-3754	411	20	)	)	PUNCT
fcis-3754	411	21	,	,	PUNCT
fcis-3754	411	22	2016	2016	NUM
fcis-3754	411	23	7th	7th	ADJ
fcis-3754	411	24	international	international	ADJ
fcis-3754	411	25	conference	conference	NOUN
fcis-3754	411	26	on	on	ADP
fcis-3754	411	27	.	.	PUNCT
fcis-3754	412	1	ieee	ieee	PROPN
fcis-3754	412	2	,	,	PUNCT
fcis-3754	412	3	2016	2016	NUM
fcis-3754	412	4	:	:	PUNCT
fcis-3754	412	5	265	265	NUM
fcis-3754	412	6	-	-	SYM
fcis-3754	412	7	268	268	NUM
fcis-3754	412	8	.	.	PUNCT
fcis-3754	413	1	[	[	X
fcis-3754	413	2	38	38	NUM
fcis-3754	413	3	]	]	PUNCT
fcis-3754	413	4	hoenig	hoenig	PROPN
fcis-3754	413	5	j	j	PROPN
fcis-3754	413	6	m	m	PROPN
fcis-3754	413	7	,	,	PUNCT
fcis-3754	413	8	heisey	heisey	PROPN
fcis-3754	413	9	d	d	X
fcis-3754	413	10	m.	m.	NOUN
fcis-3754	413	11	use	use	NOUN
fcis-3754	413	12	of	of	ADP
fcis-3754	413	13	a	a	DET
fcis-3754	413	14	log	log	NOUN
fcis-3754	413	15	-	-	PUNCT
fcis-3754	413	16	linear	linear	NOUN
fcis-3754	413	17	model	model	NOUN
fcis-3754	413	18	with	with	ADP
fcis-3754	413	19	the	the	DET
fcis-3754	413	20	em	em	PROPN
fcis-3754	413	21	algorithm	algorithm	NOUN
fcis-3754	413	22	to	to	ADP
fcis-3754	413	23	correct	correct	ADJ
fcis-3754	413	24	estimates	estimate	NOUN
fcis-3754	413	25	of	of	ADP
fcis-3754	413	26	stock	stock	NOUN
fcis-3754	413	27	composition	composition	NOUN
fcis-3754	413	28	and	and	CCONJ
fcis-3754	413	29	to	to	PART
fcis-3754	413	30	convert	convert	VERB
fcis-3754	413	31	length	length	NOUN
fcis-3754	413	32	to	to	ADP
fcis-3754	413	33	age	age	NOUN
fcis-3754	413	34	[	[	X
fcis-3754	413	35	j	j	X
fcis-3754	413	36	]	]	X
fcis-3754	413	37	.	.	PUNCT
fcis-3754	414	1	transactions	transaction	NOUN
fcis-3754	414	2	of	of	ADP
fcis-3754	414	3	the	the	DET
fcis-3754	414	4	american	american	PROPN
fcis-3754	414	5	fisheries	fisheries	PROPN
fcis-3754	414	6	society	society	NOUN
fcis-3754	414	7	,	,	PUNCT
fcis-3754	414	8	1987	1987	NUM
fcis-3754	414	9	,	,	PUNCT
fcis-3754	414	10	116(2	116(2	NUM
fcis-3754	414	11	):	):	PUNCT
fcis-3754	414	12	232	232	NUM
fcis-3754	414	13	-	-	SYM
fcis-3754	414	14	243	243	NUM
fcis-3754	414	15	.	.	PUNCT
fcis-3754	415	1	[	[	X
fcis-3754	415	2	39	39	NUM
fcis-3754	415	3	]	]	PUNCT
fcis-3754	415	4	shinozaki	shinozaki	PROPN
fcis-3754	415	5	t	t	PROPN
fcis-3754	415	6	,	,	PUNCT
fcis-3754	415	7	ostendorf	ostendorf	PROPN
fcis-3754	415	8	m.	m.	PROPN
fcis-3754	415	9	cross	cross	PROPN
fcis-3754	415	10	-	-	NOUN
fcis-3754	415	11	validation	validation	ADJ
fcis-3754	415	12	and	and	CCONJ
fcis-3754	415	13	aggregated	aggregate	VERB
fcis-3754	415	14	em	em	PRON
fcis-3754	415	15	training	train	VERB
fcis-3754	415	16	for	for	ADP
fcis-3754	415	17	robust	robust	ADJ
fcis-3754	415	18	parameter	parameter	NOUN
fcis-3754	415	19	estimation	estimation	NOUN
fcis-3754	416	1	[	[	X
fcis-3754	416	2	j	j	X
fcis-3754	416	3	]	]	X
fcis-3754	416	4	.	.	PUNCT
fcis-3754	417	1	computer	computer	NOUN
fcis-3754	417	2	speech	speech	NOUN
fcis-3754	417	3	&	&	CCONJ
fcis-3754	417	4	language	language	NOUN
fcis-3754	417	5	,	,	PUNCT
fcis-3754	417	6	2008	2008	NUM
fcis-3754	417	7	,	,	PUNCT
fcis-3754	417	8	22(2	22(2	NUM
fcis-3754	417	9	):	):	PUNCT
fcis-3754	417	10	185	185	NUM
fcis-3754	417	11	-	-	SYM
fcis-3754	417	12	195	195	NUM
fcis-3754	417	13	.	.	PUNCT
fcis-3754	418	1	[	[	X
fcis-3754	418	2	40	40	NUM
fcis-3754	418	3	]	]	X
fcis-3754	418	4	coakley	coakley	PROPN
fcis-3754	418	5	k	k	PROPN
fcis-3754	418	6	j.	j.	PROPN
fcis-3754	419	1	a	a	DET
fcis-3754	419	2	cross	cross	ADJ
fcis-3754	419	3	-	-	ADJ
fcis-3754	419	4	validation	validation	ADJ
fcis-3754	419	5	procedure	procedure	NOUN
fcis-3754	419	6	for	for	ADP
fcis-3754	419	7	stopping	stop	VERB
fcis-3754	419	8	the	the	DET
fcis-3754	419	9	em	em	PROPN
fcis-3754	419	10	algorithm	algorithm	NOUN
fcis-3754	419	11	and	and	CCONJ
fcis-3754	419	12	deconvolution	deconvolution	NOUN
fcis-3754	419	13	of	of	ADP
fcis-3754	419	14	neutron	neutron	NOUN
fcis-3754	419	15	depth	depth	NOUN
fcis-3754	419	16	profiling	profile	VERB
fcis-3754	419	17	spectra	spectra	NOUN
fcis-3754	420	1	[	[	X
fcis-3754	420	2	j	j	X
fcis-3754	420	3	]	]	X
fcis-3754	420	4	.	.	PUNCT
fcis-3754	421	1	ieee	ieee	NOUN
fcis-3754	421	2	transactions	transaction	NOUN
fcis-3754	421	3	on	on	ADP
fcis-3754	421	4	nuclear	nuclear	ADJ
fcis-3754	421	5	science	science	NOUN
fcis-3754	421	6	,	,	PUNCT
fcis-3754	421	7	1991	1991	NUM
fcis-3754	421	8	,	,	PUNCT
fcis-3754	421	9	38(1	38(1	NUM
fcis-3754	421	10	):	):	PUNCT
fcis-3754	421	11	9	9	NUM
fcis-3754	421	12	-	-	SYM
fcis-3754	421	13	15	15	NUM
fcis-3754	421	14	.	.	PUNCT
fcis-3754	422	1	[	[	X
fcis-3754	422	2	41	41	NUM
fcis-3754	422	3	]	]	X
fcis-3754	422	4	dempster	dempster	PROPN
fcis-3754	422	5	a	a	DET
fcis-3754	422	6	p	p	X
fcis-3754	422	7	,	,	PUNCT
fcis-3754	422	8	laird	laird	PROPN
fcis-3754	422	9	n	n	PROPN
fcis-3754	422	10	m	m	PROPN
fcis-3754	422	11	,	,	PUNCT
fcis-3754	422	12	rubin	rubin	PROPN
fcis-3754	422	13	d	d	PROPN
fcis-3754	422	14	b.	b.	PROPN
fcis-3754	422	15	maximum	maximum	PROPN
fcis-3754	422	16	likelihood	likelihood	NOUN
fcis-3754	422	17	from	from	ADP
fcis-3754	422	18	incomplete	incomplete	ADJ
fcis-3754	422	19	data	datum	NOUN
fcis-3754	422	20	via	via	ADP
fcis-3754	422	21	the	the	DET
fcis-3754	422	22	em	em	PROPN
fcis-3754	422	23	algorithm[j	algorithm[j	PROPN
fcis-3754	422	24	]	]	PUNCT
fcis-3754	422	25	.	.	PUNCT
fcis-3754	423	1	journal	journal	PROPN
fcis-3754	423	2	of	of	ADP
fcis-3754	423	3	the	the	DET
fcis-3754	423	4	royal	royal	ADJ
fcis-3754	423	5	statistical	statistical	ADJ
fcis-3754	423	6	society	society	NOUN
fcis-3754	423	7	.	.	PUNCT
fcis-3754	424	1	series	series	PROPN
fcis-3754	424	2	b	b	PROPN
fcis-3754	424	3	(	(	PUNCT
fcis-3754	424	4	methodological	methodological	ADJ
fcis-3754	424	5	)	)	PUNCT
fcis-3754	424	6	,	,	PUNCT
fcis-3754	424	7	1977	1977	NUM
fcis-3754	424	8	:	:	PUNCT
fcis-3754	424	9	1	1	NUM
fcis-3754	424	10	-	-	SYM
fcis-3754	424	11	38	38	NUM
fcis-3754	424	12	.	.	PUNCT
fcis-3754	425	1	[	[	X
fcis-3754	425	2	42	42	NUM
fcis-3754	425	3	]	]	X
fcis-3754	425	4	karlis	karlis	PROPN
fcis-3754	425	5	d.	d.	PROPN
fcis-3754	426	1	an	an	DET
fcis-3754	426	2	em	em	PROPN
fcis-3754	426	3	algorithm	algorithm	NOUN
fcis-3754	426	4	for	for	ADP
fcis-3754	426	5	multivariate	multivariate	NOUN
fcis-3754	426	6	poisson	poisson	NOUN
fcis-3754	426	7	distribution	distribution	NOUN
fcis-3754	426	8	and	and	CCONJ
fcis-3754	426	9	related	related	ADJ
fcis-3754	426	10	models	model	NOUN
fcis-3754	426	11	[	[	X
fcis-3754	426	12	j	j	X
fcis-3754	426	13	]	]	X
fcis-3754	426	14	.	.	PUNCT
fcis-3754	427	1	journal	journal	PROPN
fcis-3754	427	2	of	of	ADP
fcis-3754	427	3	applied	applied	ADJ
fcis-3754	427	4	statistics	statistic	NOUN
fcis-3754	427	5	,	,	PUNCT
fcis-3754	427	6	2003	2003	NUM
fcis-3754	427	7	,	,	PUNCT
fcis-3754	427	8	30(1	30(1	NUM
fcis-3754	427	9	):	):	PUNCT
fcis-3754	427	10	63	63	NUM
fcis-3754	427	11	-	-	SYM
fcis-3754	427	12	77	77	NUM
fcis-3754	427	13	.	.	PUNCT
fcis-3754	428	1	[	[	X
fcis-3754	428	2	43	43	NUM
fcis-3754	428	3	]	]	X
fcis-3754	428	4	zhu	zhu	PROPN
fcis-3754	428	5	d	d	NOUN
fcis-3754	428	6	,	,	PUNCT
fcis-3754	428	7	guralnik	guralnik	X
fcis-3754	428	8	d	d	PROPN
fcis-3754	428	9	p	p	PROPN
fcis-3754	428	10	,	,	PUNCT
fcis-3754	428	11	wang	wang	PROPN
fcis-3754	428	12	x	x	PROPN
fcis-3754	428	13	,	,	PUNCT
fcis-3754	428	14	et	et	PROPN
fcis-3754	428	15	al	al	PROPN
fcis-3754	428	16	.	.	PUNCT
fcis-3754	429	1	statistical	statistical	ADJ
fcis-3754	429	2	properties	property	NOUN
fcis-3754	429	3	of	of	ADP
fcis-3754	429	4	the	the	DET
fcis-3754	429	5	single	single	ADJ
fcis-3754	429	6	linkage	linkage	NOUN
fcis-3754	429	7	hierarchical	hierarchical	ADJ
fcis-3754	429	8	clustering	clustering	ADJ
fcis-3754	429	9	estimator	estimator	NOUN
fcis-3754	429	10	[	[	X
fcis-3754	429	11	j	j	X
fcis-3754	429	12	]	]	X
fcis-3754	429	13	.	.	PUNCT
fcis-3754	430	1	journal	journal	PROPN
fcis-3754	430	2	of	of	ADP
fcis-3754	430	3	statistical	statistical	ADJ
fcis-3754	430	4	planning	planning	NOUN
fcis-3754	430	5	and	and	CCONJ
fcis-3754	430	6	inference	inference	NOUN
fcis-3754	430	7	,	,	PUNCT
fcis-3754	430	8	2017	2017	NUM
fcis-3754	430	9	,	,	PUNCT
fcis-3754	430	10	185	185	NUM
fcis-3754	430	11	:	:	SYM
fcis-3754	430	12	15	15	NUM
fcis-3754	430	13	-	-	SYM
fcis-3754	430	14	28	28	NUM
fcis-3754	430	15	.	.	PUNCT
fcis-3754	431	1	[	[	X
fcis-3754	431	2	44	44	NUM
fcis-3754	431	3	]	]	X
fcis-3754	431	4	großwendt	großwendt	NOUN
fcis-3754	431	5	a	a	PRON
fcis-3754	431	6	,	,	PUNCT
fcis-3754	431	7	röglin	röglin	PROPN
fcis-3754	431	8	h.	h.	PROPN
fcis-3754	431	9	improved	improve	VERB
fcis-3754	431	10	analysis	analysis	NOUN
fcis-3754	431	11	of	of	ADP
fcis-3754	431	12	completelinkage	completelinkage	NOUN
fcis-3754	431	13	clustering	clustering	NOUN
fcis-3754	431	14	[	[	X
fcis-3754	431	15	j	j	X
fcis-3754	431	16	]	]	X
fcis-3754	431	17	.	.	PUNCT
fcis-3754	432	1	algorithmica	algorithmica	PROPN
fcis-3754	432	2	,	,	PUNCT
fcis-3754	432	3	2017	2017	NUM
fcis-3754	432	4	,	,	PUNCT
fcis-3754	432	5	78(4	78(4	NUM
fcis-3754	432	6	):	):	PUNCT
fcis-3754	432	7	1131	1131	NUM
fcis-3754	432	8	-	-	SYM
fcis-3754	432	9	1150	1150	NUM
fcis-3754	432	10	.	.	PUNCT
fcis-3754	433	1	41	41	NUM
fcis-3754	434	1	[	[	X
fcis-3754	434	2	45	45	NUM
fcis-3754	434	3	]	]	PUNCT
fcis-3754	434	4	gagolewski	gagolewski	PROPN
fcis-3754	434	5	m	m	PROPN
fcis-3754	434	6	,	,	PUNCT
fcis-3754	434	7	bartoszuk	bartoszuk	PROPN
fcis-3754	434	8	m	m	PROPN
fcis-3754	434	9	,	,	PUNCT
fcis-3754	434	10	cena	cena	PROPN
fcis-3754	434	11	a.	a.	NOUN
fcis-3754	434	12	genie	genie	PROPN
fcis-3754	434	13	:	:	PUNCT
fcis-3754	434	14	a	a	DET
fcis-3754	434	15	new	new	ADJ
fcis-3754	434	16	,	,	PUNCT
fcis-3754	434	17	fast	fast	ADJ
fcis-3754	434	18	,	,	PUNCT
fcis-3754	434	19	and	and	CCONJ
fcis-3754	434	20	outlier	outlier	NOUN
fcis-3754	434	21	-	-	PUNCT
fcis-3754	434	22	resistant	resistant	ADJ
fcis-3754	434	23	hierarchical	hierarchical	ADJ
fcis-3754	434	24	clustering	clustering	ADJ
fcis-3754	434	25	algorithm	algorithm	NOUN
fcis-3754	435	1	[	[	X
fcis-3754	435	2	j	j	X
fcis-3754	435	3	]	]	X
fcis-3754	435	4	.	.	PUNCT
fcis-3754	436	1	information	information	NOUN
fcis-3754	436	2	sciences	sciences	PROPN
fcis-3754	436	3	,	,	PUNCT
fcis-3754	436	4	2016	2016	NUM
fcis-3754	436	5	,	,	PUNCT
fcis-3754	436	6	363	363	NUM
fcis-3754	436	7	:	:	SYM
fcis-3754	436	8	8	8	NUM
fcis-3754	436	9	-	-	SYM
fcis-3754	436	10	23	23	NUM
fcis-3754	436	11	.	.	PUNCT
fcis-3754	437	1	[	[	X
fcis-3754	437	2	46	46	NUM
fcis-3754	437	3	]	]	X
fcis-3754	437	4	srivastava	srivastava	PROPN
fcis-3754	437	5	r	r	PROPN
fcis-3754	437	6	k	k	PROPN
fcis-3754	437	7	,	,	PUNCT
fcis-3754	437	8	leone	leone	NOUN
fcis-3754	437	9	r	r	NOUN
fcis-3754	437	10	p	p	NOUN
fcis-3754	437	11	,	,	PUNCT
fcis-3754	437	12	shocker	shocker	NOUN
fcis-3754	437	13	a	a	DET
fcis-3754	437	14	d.	d.	NOUN
fcis-3754	437	15	market	market	NOUN
fcis-3754	437	16	structure	structure	NOUN
fcis-3754	437	17	analysis	analysis	NOUN
fcis-3754	437	18	:	:	PUNCT
fcis-3754	437	19	hierarchical	hierarchical	ADJ
fcis-3754	437	20	clustering	clustering	NOUN
fcis-3754	437	21	of	of	ADP
fcis-3754	437	22	products	product	NOUN
fcis-3754	437	23	based	base	VERB
fcis-3754	437	24	on	on	ADP
fcis-3754	437	25	substitution	substitution	NOUN
fcis-3754	437	26	-	-	PUNCT
fcis-3754	437	27	in	in	ADP
fcis-3754	437	28	-	-	PUNCT
fcis-3754	437	29	use	use	NOUN
fcis-3754	437	30	[	[	X
fcis-3754	437	31	j	j	X
fcis-3754	437	32	]	]	X
fcis-3754	437	33	.	.	PUNCT
fcis-3754	438	1	the	the	DET
fcis-3754	438	2	journal	journal	NOUN
fcis-3754	438	3	of	of	ADP
fcis-3754	438	4	marketing	marketing	NOUN
fcis-3754	438	5	,	,	PUNCT
fcis-3754	438	6	1981	1981	NUM
fcis-3754	438	7	:	:	PUNCT
fcis-3754	438	8	38	38	NUM
fcis-3754	438	9	-	-	SYM
fcis-3754	438	10	48	48	NUM
fcis-3754	438	11	.	.	PUNCT
fcis-3754	439	1	[	[	X
fcis-3754	439	2	47	47	NUM
fcis-3754	439	3	]	]	PUNCT
fcis-3754	439	4	lahmiri	lahmiri	PROPN
fcis-3754	439	5	s.	s.	PROPN
fcis-3754	439	6	clustering	clustering	PROPN
fcis-3754	439	7	of	of	ADP
fcis-3754	439	8	casablanca	casablanca	PROPN
fcis-3754	439	9	stock	stock	PROPN
fcis-3754	439	10	market	market	NOUN
fcis-3754	439	11	based	base	VERB
fcis-3754	439	12	on	on	ADP
fcis-3754	439	13	hurst	hurst	PROPN
fcis-3754	439	14	exponent	exponent	PROPN
fcis-3754	439	15	estimates	estimate	VERB
fcis-3754	439	16	[	[	X
fcis-3754	439	17	j	j	X
fcis-3754	439	18	]	]	X
fcis-3754	439	19	.	.	PUNCT
fcis-3754	440	1	physica	physica	PROPN
fcis-3754	440	2	a	a	DET
fcis-3754	440	3	:	:	PUNCT
fcis-3754	440	4	statistical	statistical	ADJ
fcis-3754	440	5	mechanics	mechanic	NOUN
fcis-3754	440	6	and	and	CCONJ
fcis-3754	440	7	its	its	PRON
fcis-3754	440	8	applications	application	NOUN
fcis-3754	440	9	,	,	PUNCT
fcis-3754	440	10	2016	2016	NUM
fcis-3754	440	11	,	,	PUNCT
fcis-3754	440	12	456	456	NUM
fcis-3754	440	13	:	:	PUNCT
fcis-3754	440	14	310	310	NUM
fcis-3754	440	15	-	-	SYM
fcis-3754	440	16	318	318	NUM
fcis-3754	440	17	.	.	PUNCT
fcis-3754	441	1	[	[	X
fcis-3754	441	2	48	48	NUM
fcis-3754	441	3	]	]	PUNCT
fcis-3754	441	4	sharma	sharma	PROPN
fcis-3754	441	5	s	s	PROPN
fcis-3754	441	6	,	,	PUNCT
fcis-3754	441	7	tiwari	tiwari	PROPN
fcis-3754	441	8	r.	r.	PROPN
fcis-3754	441	9	canopy	canopy	PROPN
fcis-3754	441	10	clustering	cluster	VERB
fcis-3754	441	11	based	base	VERB
fcis-3754	441	12	multi	multi	PROPN
fcis-3754	441	13	robot	robot	NOUN
fcis-3754	441	14	area	area	PROPN
fcis-3754	441	15	exploration	exploration	PROPN
fcis-3754	441	16	[	[	X
fcis-3754	441	17	j	j	X
fcis-3754	441	18	]	]	X
fcis-3754	441	19	.	.	PUNCT
fcis-3754	442	1	ifac	ifac	NOUN
fcis-3754	442	2	proceedings	proceeding	NOUN
fcis-3754	442	3	volumes	volume	NOUN
fcis-3754	442	4	,	,	PUNCT
fcis-3754	442	5	2014	2014	NUM
fcis-3754	442	6	,	,	PUNCT
fcis-3754	442	7	47(1	47(1	NUM
fcis-3754	442	8	):	):	PUNCT
fcis-3754	442	9	505	505	NUM
fcis-3754	442	10	-	-	SYM
fcis-3754	442	11	510	510	NUM
fcis-3754	442	12	.	.	PUNCT
fcis-3754	443	1	[	[	X
fcis-3754	443	2	49	49	NUM
fcis-3754	443	3	]	]	PUNCT
fcis-3754	443	4	he	he	PRON
fcis-3754	443	5	h	h	NOUN
fcis-3754	443	6	,	,	PUNCT
fcis-3754	443	7	guo	guo	PROPN
fcis-3754	443	8	l	l	PROPN
fcis-3754	443	9	,	,	PUNCT
fcis-3754	443	10	geng	geng	PROPN
fcis-3754	443	11	y.	y.	PROPN
fcis-3754	443	12	the	the	DET
fcis-3754	443	13	optimization	optimization	NOUN
fcis-3754	443	14	of	of	ADP
fcis-3754	443	15	cmac	cmac	PROPN
fcis-3754	443	16	neural	neural	ADJ
fcis-3754	443	17	network	network	NOUN
fcis-3754	443	18	structure	structure	NOUN
fcis-3754	443	19	based	base	VERB
fcis-3754	443	20	on	on	ADP
fcis-3754	443	21	canopy	canopy	NOUN
fcis-3754	443	22	-	-	PUNCT
fcis-3754	443	23	k	k	NOUN
fcis-3754	443	24	-	-	PUNCT
fcis-3754	443	25	means	means	NOUN
fcis-3754	443	26	algorithm	algorithm	NOUN
fcis-3754	444	1	[	[	X
fcis-3754	444	2	j	j	X
fcis-3754	444	3	]	]	X
fcis-3754	444	4	.	.	PUNCT
fcis-3754	445	1	international	international	ADJ
fcis-3754	445	2	journal	journal	PROPN
fcis-3754	445	3	of	of	ADP
fcis-3754	445	4	advancements	advancement	NOUN
fcis-3754	445	5	in	in	ADP
fcis-3754	445	6	computing	compute	VERB
fcis-3754	445	7	technology	technology	NOUN
fcis-3754	445	8	,	,	PUNCT
fcis-3754	445	9	2012	2012	NUM
fcis-3754	445	10	,	,	PUNCT
fcis-3754	445	11	4(22	4(22	NUM
fcis-3754	445	12	)	)	PUNCT
fcis-3754	445	13	.	.	PUNCT
fcis-3754	446	1	[	[	X
fcis-3754	446	2	50	50	NUM
fcis-3754	446	3	]	]	PUNCT
fcis-3754	446	4	wang	wang	PROPN
fcis-3754	446	5	y	y	PROPN
fcis-3754	446	6	f	f	PROPN
fcis-3754	446	7	,	,	PUNCT
fcis-3754	446	8	chuang	chuang	PROPN
fcis-3754	446	9	y	y	PROPN
fcis-3754	446	10	l	l	PROPN
fcis-3754	446	11	,	,	PUNCT
fcis-3754	446	12	hsu	hsu	PROPN
fcis-3754	446	13	m	m	PROPN
fcis-3754	446	14	h	h	PROPN
fcis-3754	446	15	,	,	PUNCT
fcis-3754	446	16	et	et	PROPN
fcis-3754	446	17	al	al	PROPN
fcis-3754	446	18	.	.	PUNCT
fcis-3754	447	1	a	a	DET
fcis-3754	447	2	personalized	personalize	VERB
fcis-3754	447	3	recommender	recommender	NOUN
fcis-3754	447	4	system	system	NOUN
fcis-3754	447	5	for	for	ADP
fcis-3754	447	6	the	the	DET
fcis-3754	447	7	cosmetic	cosmetic	ADJ
fcis-3754	447	8	business	business	NOUN
fcis-3754	448	1	[	[	X
fcis-3754	448	2	j	j	X
fcis-3754	448	3	]	]	X
fcis-3754	448	4	.	.	PUNCT
fcis-3754	449	1	expert	expert	NOUN
fcis-3754	449	2	systems	system	NOUN
fcis-3754	449	3	with	with	ADP
fcis-3754	449	4	applications	application	NOUN
fcis-3754	449	5	,	,	PUNCT
fcis-3754	449	6	2004	2004	NUM
fcis-3754	449	7	,	,	PUNCT
fcis-3754	449	8	26(3	26(3	NUM
fcis-3754	449	9	):	):	PUNCT
fcis-3754	449	10	427	427	NUM
fcis-3754	449	11	-	-	SYM
fcis-3754	449	12	434	434	NUM
fcis-3754	449	13	.	.	PUNCT
fcis-3754	450	1	[	[	X
fcis-3754	450	2	51	51	NUM
fcis-3754	450	3	]	]	X
fcis-3754	450	4	shu	shu	NOUN
fcis-3754	450	5	g	g	PROPN
fcis-3754	450	6	,	,	PUNCT
fcis-3754	450	7	zeng	zeng	PROPN
fcis-3754	450	8	b	b	PROPN
fcis-3754	450	9	,	,	PUNCT
fcis-3754	450	10	chen	chen	PROPN
fcis-3754	450	11	y	y	PROPN
fcis-3754	450	12	p	p	PROPN
fcis-3754	450	13	,	,	PUNCT
fcis-3754	450	14	et	et	PROPN
fcis-3754	450	15	al	al	PROPN
fcis-3754	450	16	.	.	PUNCT
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fcis-3754	450	18	assessment	assessment	NOUN
fcis-3754	450	19	of	of	ADP
fcis-3754	450	20	kernel	kernel	PROPN
fcis-3754	450	21	density	density	NOUN
fcis-3754	450	22	clustering	cluster	VERB
fcis-3754	450	23	for	for	ADP
fcis-3754	450	24	gene	gene	NOUN
fcis-3754	450	25	expression	expression	NOUN
fcis-3754	450	26	profile	profile	NOUN
fcis-3754	450	27	data[j	data[j	NOUN
fcis-3754	450	28	]	]	X
fcis-3754	450	29	.	.	PUNCT
fcis-3754	451	1	comparative	comparative	ADJ
fcis-3754	451	2	and	and	CCONJ
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fcis-3754	451	4	genomics	genomic	NOUN
fcis-3754	451	5	,	,	PUNCT
fcis-3754	451	6	2003	2003	NUM
fcis-3754	451	7	,	,	PUNCT
fcis-3754	451	8	4(3	4(3	NUM
fcis-3754	451	9	):	):	PUNCT
fcis-3754	451	10	287	287	NUM
fcis-3754	451	11	-	-	SYM
fcis-3754	451	12	299	299	NUM
fcis-3754	451	13	.	.	PUNCT
fcis-3754	452	1	[	[	X
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fcis-3754	452	3	]	]	PUNCT
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fcis-3754	452	10	ramanathan	ramanathan	PROPN
fcis-3754	452	11	m.	m.	NOUN
fcis-3754	452	12	an	an	DET
fcis-3754	452	13	information	information	NOUN
fcis-3754	452	14	theoretic	theoretic	NOUN
fcis-3754	452	15	approach	approach	NOUN
fcis-3754	452	16	for	for	ADP
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fcis-3754	452	22	expression	expression	NOUN
fcis-3754	453	1	[	[	X
fcis-3754	453	2	j	j	X
fcis-3754	453	3	]	]	X
fcis-3754	453	4	.	.	PUNCT
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fcis-3754	454	2	,	,	PUNCT
fcis-3754	454	3	2003	2003	NUM
fcis-3754	454	4	,	,	PUNCT
fcis-3754	454	5	19(4	19(4	NUM
fcis-3754	454	6	):	):	PUNCT
fcis-3754	454	7	449	449	NUM
fcis-3754	454	8	-	-	SYM
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fcis-3754	454	10	.	.	PUNCT
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fcis-3754	455	3	]	]	X
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fcis-3754	455	5	g	g	PROPN
fcis-3754	455	6	,	,	PUNCT
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fcis-3754	455	10	,	,	PUNCT
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fcis-3754	455	22	algorithms	algorithm	NOUN
fcis-3754	455	23	in	in	ADP
fcis-3754	455	24	analyzing	analyze	VERB
fcis-3754	455	25	es	es	NOUN
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fcis-3754	455	27	gene	gene	NOUN
fcis-3754	455	28	expression	expression	NOUN
fcis-3754	455	29	data	datum	NOUN
fcis-3754	456	1	[	[	X
fcis-3754	456	2	j	j	X
fcis-3754	456	3	]	]	X
fcis-3754	456	4	.	.	PUNCT
fcis-3754	457	1	statistica	statistica	PROPN
fcis-3754	457	2	sinica	sinica	PROPN
fcis-3754	457	3	,	,	PUNCT
fcis-3754	457	4	2002	2002	NUM
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fcis-3754	457	7	-	-	SYM
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fcis-3754	458	5	j	j	PROPN
fcis-3754	458	6	c	c	PROPN
fcis-3754	458	7	,	,	PUNCT
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fcis-3754	458	9	n	n	PROPN
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fcis-3754	458	14	generalized	generalized	ADJ
fcis-3754	458	15	dunn	dunn	PROPN
fcis-3754	458	16	's	's	PART
fcis-3754	458	17	indices[c]//artificial	indices[c]//artificial	PROPN
fcis-3754	458	18	neural	neural	ADJ
fcis-3754	458	19	networks	network	NOUN
fcis-3754	458	20	and	and	CCONJ
fcis-3754	458	21	expert	expert	NOUN
fcis-3754	458	22	systems	system	NOUN
fcis-3754	458	23	,	,	PUNCT
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fcis-3754	458	25	.	.	PUNCT
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fcis-3754	459	2	.	.	PUNCT
fcis-3754	459	3	,	,	PUNCT
fcis-3754	459	4	second	second	ADJ
fcis-3754	459	5	new	new	PROPN
fcis-3754	459	6	zealand	zealand	PROPN
fcis-3754	459	7	international	international	ADJ
fcis-3754	459	8	two	two	NUM
fcis-3754	459	9	-	-	PUNCT
fcis-3754	459	10	stream	stream	NOUN
fcis-3754	459	11	conference	conference	NOUN
fcis-3754	459	12	on	on	ADP
fcis-3754	459	13	.	.	PUNCT
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fcis-3754	460	2	,	,	PUNCT
fcis-3754	460	3	1995	1995	NUM
fcis-3754	460	4	:	:	PUNCT
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fcis-3754	460	6	.	.	PUNCT
fcis-3754	461	1	[	[	X
fcis-3754	461	2	55	55	NUM
fcis-3754	461	3	]	]	PUNCT
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fcis-3754	461	5	a	a	DET
fcis-3754	461	6	s	s	PROPN
fcis-3754	461	7	,	,	PUNCT
fcis-3754	461	8	tiwari	tiwari	PROPN
fcis-3754	461	9	s	s	PART
fcis-3754	461	10	,	,	PUNCT
fcis-3754	461	11	tripathi	tripathi	PROPN
fcis-3754	461	12	r	r	PROPN
fcis-3754	461	13	,	,	PUNCT
fcis-3754	461	14	et	et	PROPN
fcis-3754	461	15	al	al	PROPN
fcis-3754	461	16	.	.	PUNCT
fcis-3754	462	1	gk	gk	PROPN
fcis-3754	462	2	clustering	cluster	VERB
fcis-3754	462	3	approach	approach	NOUN
fcis-3754	462	4	to	to	PART
fcis-3754	462	5	determine	determine	VERB
fcis-3754	462	6	optimal	optimal	ADJ
fcis-3754	462	7	number	number	NOUN
fcis-3754	462	8	of	of	ADP
fcis-3754	462	9	clusters	cluster	NOUN
fcis-3754	462	10	for	for	ADP
fcis-3754	462	11	wireless	wireless	ADJ
fcis-3754	462	12	sensor	sensor	NOUN
fcis-3754	462	13	networks[c]//wireless	networks[c]//wireless	PROPN
fcis-3754	462	14	communication	communication	NOUN
fcis-3754	462	15	and	and	CCONJ
fcis-3754	462	16	sensor	sensor	NOUN
fcis-3754	462	17	networks	network	NOUN
fcis-3754	462	18	(	(	PUNCT
fcis-3754	462	19	wcsn	wcsn	NOUN
fcis-3754	462	20	)	)	PUNCT
fcis-3754	462	21	,	,	PUNCT
fcis-3754	462	22	2009	2009	NUM
fcis-3754	462	23	fifth	fifth	ADJ
fcis-3754	462	24	ieee	ieee	NOUN
fcis-3754	462	25	conference	conference	NOUN
fcis-3754	462	26	on	on	ADP
fcis-3754	462	27	.	.	PUNCT
fcis-3754	463	1	ieee	ieee	PROPN
fcis-3754	463	2	,	,	PUNCT
fcis-3754	463	3	2009	2009	NUM
fcis-3754	463	4	:	:	PUNCT
fcis-3754	463	5	1	1	NUM
fcis-3754	463	6	-	-	SYM
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fcis-3754	463	8	.	.	PUNCT
fcis-3754	464	1	[	[	X
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fcis-3754	464	3	]	]	X
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fcis-3754	464	5	agename	agename	PROPN
fcis-3754	464	6	=	=	SYM
fcis-3754	464	7	sp	sp	NOUN
fcis-3754	464	8	/	/	SYM
fcis-3754	464	9	page	page	NOUN
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fcis-3754	464	12	=	=	SYM
fcis-3754	464	13	en&i=56&xcd=500	en&i=56&xcd=500	NOUN
fcis-3754	464	14	[	[	X
fcis-3754	464	15	57	57	NUM
fcis-3754	464	16	]	]	PUNCT
fcis-3754	464	17	http://www.cs.waikato.ac.nz/ml/weka/	http://www.cs.waikato.ac.nz/ml/weka/	VERB