id	sid	tid	token	lemma	pos
bracis-19032	1	1	improving	improve	VERB
bracis-19032	1	2	a	a	DET
bracis-19032	1	3	genetic	genetic	ADJ
bracis-19032	1	4	clustering	clustering	NOUN
bracis-19032	1	5	approach	approach	NOUN
bracis-19032	1	6	with	with	ADP
bracis-19032	1	7	a	a	DET
bracis-19032	1	8	cvi	cvi	NOUN
bracis-19032	1	9	-	-	PUNCT
bracis-19032	1	10	based	base	VERB
bracis-19032	1	11	objective	objective	ADJ
bracis-19032	1	12	function	function	NOUN
bracis-19032	1	13	|	|	NOUN
bracis-19032	1	14	springer	springer	NOUN
bracis-19032	1	15	nature	nature	PROPN
bracis-19032	1	16	link	link	PROPN
bracis-19032	1	17	(	(	PUNCT
bracis-19032	1	18	formerly	formerly	ADV
bracis-19032	1	19	springerlink	springerlink	NOUN
bracis-19032	1	20	)	)	PUNCT
bracis-19032	1	21	skip	skip	VERB
bracis-19032	1	22	to	to	ADP
bracis-19032	1	23	main	main	ADJ
bracis-19032	1	24	content	content	NOUN
bracis-19032	1	25	advertisement	advertisement	NOUN
bracis-19032	1	26	log	log	NOUN
bracis-19032	1	27	in	in	ADP
bracis-19032	1	28	menu	menu	NOUN
bracis-19032	1	29	find	find	VERB
bracis-19032	1	30	a	a	DET
bracis-19032	1	31	journal	journal	NOUN
bracis-19032	1	32	publish	publish	VERB
bracis-19032	1	33	with	with	ADP
bracis-19032	1	34	us	we	PRON
bracis-19032	1	35	track	track	VERB
bracis-19032	1	36	your	your	PRON
bracis-19032	1	37	research	research	NOUN
bracis-19032	1	38	search	search	NOUN
bracis-19032	1	39	cart	cart	NOUN
bracis-19032	1	40	home	home	NOUN
bracis-19032	1	41	intelligent	intelligent	ADJ
bracis-19032	1	42	systems	system	NOUN
bracis-19032	1	43	conference	conference	NOUN
bracis-19032	1	44	paper	paper	NOUN
bracis-19032	1	45	improving	improve	VERB
bracis-19032	1	46	a	a	DET
bracis-19032	1	47	genetic	genetic	ADJ
bracis-19032	1	48	clustering	clustering	NOUN
bracis-19032	1	49	approach	approach	NOUN
bracis-19032	1	50	with	with	ADP
bracis-19032	1	51	a	a	DET
bracis-19032	1	52	cvi	cvi	NOUN
bracis-19032	1	53	-	-	PUNCT
bracis-19032	1	54	based	base	VERB
bracis-19032	1	55	objective	objective	ADJ
bracis-19032	1	56	function	function	NOUN
bracis-19032	1	57	conference	conference	NOUN
bracis-19032	1	58	paper	paper	NOUN
bracis-19032	1	59	first	first	ADV
bracis-19032	1	60	online	online	ADV
bracis-19032	1	61	:	:	PUNCT
bracis-19032	1	62	28	28	NUM
bracis-19032	1	63	november	november	NOUN
bracis-19032	1	64	2021	2021	NUM
bracis-19032	1	65	pp	pp	ADP
bracis-19032	1	66	202–217	202–217	NUM
bracis-19032	1	67	cite	cite	VERB
bracis-19032	1	68	this	this	DET
bracis-19032	1	69	conference	conference	NOUN
bracis-19032	1	70	paper	paper	NOUN
bracis-19032	1	71	access	access	NOUN
bracis-19032	1	72	provided	provide	VERB
bracis-19032	1	73	by	by	ADP
bracis-19032	1	74	university	university	PROPN
bracis-19032	1	75	of	of	ADP
bracis-19032	1	76	notre	notre	PROPN
bracis-19032	1	77	dame	dame	PROPN
bracis-19032	1	78	hesburgh	hesburgh	PROPN
bracis-19032	1	79	library	library	PROPN
bracis-19032	1	80	download	download	PROPN
bracis-19032	1	81	book	book	NOUN
bracis-19032	1	82	pdf	pdf	PROPN
bracis-19032	1	83	download	download	NOUN
bracis-19032	1	84	book	book	NOUN
bracis-19032	1	85	epub	epub	PROPN
bracis-19032	1	86	intelligent	intelligent	ADJ
bracis-19032	1	87	systems	system	NOUN
bracis-19032	1	88	(	(	PUNCT
bracis-19032	1	89	bracis	bracis	NOUN
bracis-19032	1	90	2021	2021	NUM
bracis-19032	1	91	)	)	PUNCT
bracis-19032	1	92	improving	improve	VERB
bracis-19032	1	93	a	a	DET
bracis-19032	1	94	genetic	genetic	ADJ
bracis-19032	1	95	clustering	clustering	NOUN
bracis-19032	1	96	approach	approach	NOUN
bracis-19032	1	97	with	with	ADP
bracis-19032	1	98	a	a	DET
bracis-19032	1	99	cvi	cvi	NOUN
bracis-19032	1	100	-	-	PUNCT
bracis-19032	1	101	based	base	VERB
bracis-19032	1	102	objective	objective	ADJ
bracis-19032	1	103	function	function	NOUN
bracis-19032	1	104	download	download	NOUN
bracis-19032	1	105	book	book	NOUN
bracis-19032	1	106	pdf	pdf	PROPN
bracis-19032	1	107	download	download	NOUN
bracis-19032	1	108	book	book	PROPN
bracis-19032	1	109	epub	epub	PROPN
bracis-19032	1	110	caio	caio	PROPN
bracis-19032	1	111	flexa10	flexa10	PROPN
bracis-19032	1	112	,	,	PUNCT
bracis-19032	1	113	walisson	walisson	NOUN
bracis-19032	1	114	gomes10	gomes10	NOUN
bracis-19032	1	115	,	,	PUNCT
bracis-19032	1	116	igor	igor	PROPN
bracis-19032	1	117	moreira10	moreira10	NOUN
bracis-19032	1	118	,	,	PUNCT
bracis-19032	1	119	reginaldo	reginaldo	PROPN
bracis-19032	1	120	santos10	santos10	NOUN
bracis-19032	1	121	,	,	PUNCT
bracis-19032	1	122	claudomiro	claudomiro	NOUN
bracis-19032	1	123	sales10	sales10	PROPN
bracis-19032	1	124	&	&	CCONJ
bracis-19032	1	125	…	…	PUNCT
bracis-19032	1	126	moisés	moisés	NOUN
bracis-19032	1	127	silva10	silva10	NOUN
bracis-19032	1	128	  	  	SPACE
bracis-19032	1	129	show	show	VERB
bracis-19032	1	130	authors	author	NOUN
bracis-19032	1	131	part	part	NOUN
bracis-19032	1	132	of	of	ADP
bracis-19032	1	133	the	the	DET
bracis-19032	1	134	book	book	NOUN
bracis-19032	1	135	series	series	NOUN
bracis-19032	1	136	:	:	PUNCT
bracis-19032	1	137	lecture	lecture	NOUN
bracis-19032	1	138	notes	note	NOUN
bracis-19032	1	139	in	in	ADP
bracis-19032	1	140	computer	computer	NOUN
bracis-19032	1	141	science	science	NOUN
bracis-19032	1	142	(	(	PUNCT
bracis-19032	1	143	(	(	PUNCT
bracis-19032	1	144	lnai	lnai	ADJ
bracis-19032	1	145	,	,	PUNCT
bracis-19032	1	146	volume	volume	NOUN
bracis-19032	1	147	13073	13073	NUM
bracis-19032	1	148	)	)	PUNCT
bracis-19032	1	149	)	)	PUNCT
bracis-19032	1	150	included	include	VERB
bracis-19032	1	151	in	in	ADP
bracis-19032	1	152	the	the	DET
bracis-19032	1	153	following	follow	VERB
bracis-19032	1	154	conference	conference	NOUN
bracis-19032	1	155	series	series	NOUN
bracis-19032	1	156	:	:	PUNCT
bracis-19032	1	157	brazilian	brazilian	ADJ
bracis-19032	1	158	conference	conference	NOUN
bracis-19032	1	159	on	on	ADP
bracis-19032	1	160	intelligent	intelligent	ADJ
bracis-19032	1	161	systems	system	NOUN
bracis-19032	1	162	727	727	NUM
bracis-19032	1	163	accesses	access	VERB
bracis-19032	1	164	abstract	abstract	ADJ
bracis-19032	1	165	genetic	genetic	NOUN
bracis-19032	1	166	-	-	PUNCT
bracis-19032	1	167	based	base	VERB
bracis-19032	1	168	clustering	cluster	VERB
bracis-19032	1	169	meta	meta	ADJ
bracis-19032	1	170	-	-	PUNCT
bracis-19032	1	171	heuristics	heuristic	NOUN
bracis-19032	1	172	are	be	AUX
bracis-19032	1	173	important	important	ADJ
bracis-19032	1	174	bioinspired	bioinspire	VERB
bracis-19032	1	175	algorithms	algorithm	NOUN
bracis-19032	1	176	.	.	PUNCT
bracis-19032	2	1	one	one	NUM
bracis-19032	2	2	such	such	ADJ
bracis-19032	2	3	technique	technique	NOUN
bracis-19032	2	4	,	,	PUNCT
bracis-19032	2	5	termed	term	VERB
bracis-19032	2	6	genetic	genetic	ADJ
bracis-19032	2	7	algorithm	algorithm	NOUN
bracis-19032	2	8	for	for	ADP
bracis-19032	2	9	decision	decision	NOUN
bracis-19032	2	10	boundary	boundary	ADJ
bracis-19032	2	11	analysis	analysis	NOUN
bracis-19032	2	12	(	(	PUNCT
bracis-19032	2	13	gadba	gadba	NOUN
bracis-19032	2	14	)	)	PUNCT
bracis-19032	2	15	,	,	PUNCT
bracis-19032	2	16	was	be	AUX
bracis-19032	2	17	proposed	propose	VERB
bracis-19032	2	18	to	to	PART
bracis-19032	2	19	support	support	VERB
bracis-19032	2	20	structural	structural	ADJ
bracis-19032	2	21	health	health	NOUN
bracis-19032	2	22	monitoring	monitoring	NOUN
bracis-19032	2	23	(	(	PUNCT
bracis-19032	2	24	shm	shm	NOUN
bracis-19032	2	25	)	)	PUNCT
bracis-19032	2	26	processes	process	NOUN
bracis-19032	2	27	in	in	ADP
bracis-19032	2	28	bridges	bridge	NOUN
bracis-19032	2	29	.	.	PUNCT
bracis-19032	3	1	gadba	gadba	PROPN
bracis-19032	3	2	is	be	AUX
bracis-19032	3	3	an	an	DET
bracis-19032	3	4	unsupervised	unsupervised	ADJ
bracis-19032	3	5	,	,	PUNCT
bracis-19032	3	6	non	non	ADJ
bracis-19032	3	7	-	-	ADJ
bracis-19032	3	8	parametric	parametric	ADJ
bracis-19032	3	9	approach	approach	NOUN
bracis-19032	3	10	that	that	PRON
bracis-19032	3	11	groups	group	NOUN
bracis-19032	3	12	data	data	VERB
bracis-19032	3	13	into	into	ADP
bracis-19032	3	14	natural	natural	ADJ
bracis-19032	3	15	clusters	cluster	NOUN
bracis-19032	3	16	by	by	ADP
bracis-19032	3	17	means	mean	NOUN
bracis-19032	3	18	of	of	ADP
bracis-19032	3	19	a	a	DET
bracis-19032	3	20	specialized	specialized	ADJ
bracis-19032	3	21	objective	objective	ADJ
bracis-19032	3	22	function	function	NOUN
bracis-19032	3	23	.	.	PUNCT
bracis-19032	4	1	albeit	albeit	SCONJ
bracis-19032	4	2	it	it	PRON
bracis-19032	4	3	allows	allow	VERB
bracis-19032	4	4	a	a	DET
bracis-19032	4	5	competent	competent	ADJ
bracis-19032	4	6	identification	identification	NOUN
bracis-19032	4	7	of	of	ADP
bracis-19032	4	8	damage	damage	NOUN
bracis-19032	4	9	indicators	indicator	NOUN
bracis-19032	4	10	of	of	ADP
bracis-19032	4	11	shm	shm	NOUN
bracis-19032	4	12	-	-	PUNCT
bracis-19032	4	13	related	relate	VERB
bracis-19032	4	14	data	datum	NOUN
bracis-19032	4	15	,	,	PUNCT
bracis-19032	4	16	it	it	PRON
bracis-19032	4	17	achieves	achieve	VERB
bracis-19032	4	18	lackluster	lackluster	ADJ
bracis-19032	4	19	results	result	NOUN
bracis-19032	4	20	on	on	ADP
bracis-19032	4	21	more	more	ADV
bracis-19032	4	22	general	general	ADJ
bracis-19032	4	23	clustering	clustering	ADJ
bracis-19032	4	24	scenarios	scenario	NOUN
bracis-19032	4	25	.	.	PUNCT
bracis-19032	5	1	this	this	DET
bracis-19032	5	2	study	study	NOUN
bracis-19032	5	3	improves	improve	VERB
bracis-19032	5	4	the	the	DET
bracis-19032	5	5	objective	objective	ADJ
bracis-19032	5	6	function	function	NOUN
bracis-19032	5	7	of	of	ADP
bracis-19032	5	8	gadba	gadba	NOUN
bracis-19032	5	9	based	base	VERB
bracis-19032	5	10	on	on	ADP
bracis-19032	5	11	a	a	DET
bracis-19032	5	12	cluster	cluster	NOUN
bracis-19032	5	13	validity	validity	NOUN
bracis-19032	5	14	index	index	NOUN
bracis-19032	5	15	(	(	PUNCT
bracis-19032	5	16	cvi	cvi	NOUN
bracis-19032	5	17	)	)	PUNCT
bracis-19032	5	18	named	name	VERB
bracis-19032	5	19	mutual	mutual	ADJ
bracis-19032	5	20	equidistant	equidistant	ADJ
bracis-19032	5	21	-	-	PUNCT
bracis-19032	5	22	scattering	scatter	VERB
bracis-19032	5	23	criterion	criterion	NOUN
bracis-19032	5	24	(	(	PUNCT
bracis-19032	5	25	mec	mec	NOUN
bracis-19032	5	26	)	)	PUNCT
bracis-19032	5	27	to	to	PART
bracis-19032	5	28	expand	expand	VERB
bracis-19032	5	29	its	its	PRON
bracis-19032	5	30	applicability	applicability	NOUN
bracis-19032	5	31	to	to	ADP
bracis-19032	5	32	any	any	DET
bracis-19032	5	33	real	real	ADJ
bracis-19032	5	34	-	-	PUNCT
bracis-19032	5	35	world	world	NOUN
bracis-19032	5	36	problem	problem	NOUN
bracis-19032	5	37	.	.	PUNCT
bracis-19032	6	1	access	access	NOUN
bracis-19032	6	2	provided	provide	VERB
bracis-19032	6	3	by	by	ADP
bracis-19032	6	4	university	university	PROPN
bracis-19032	6	5	of	of	ADP
bracis-19032	6	6	notre	notre	PROPN
bracis-19032	6	7	dame	dame	PROPN
bracis-19032	6	8	hesburgh	hesburgh	PROPN
bracis-19032	6	9	library	library	PROPN
bracis-19032	6	10	.	.	PUNCT
bracis-19032	7	1	download	download	PROPN
bracis-19032	7	2	conference	conference	NOUN
bracis-19032	7	3	paper	paper	NOUN
bracis-19032	7	4	pdf	pdf	NOUN
bracis-19032	7	5	similar	similar	ADJ
bracis-19032	7	6	content	content	NOUN
bracis-19032	7	7	being	be	AUX
bracis-19032	7	8	viewed	view	VERB
bracis-19032	7	9	by	by	ADP
bracis-19032	7	10	others	other	NOUN
bracis-19032	7	11	a	a	DET
bracis-19032	7	12	novel	novel	ADJ
bracis-19032	7	13	genetic	genetic	ADJ
bracis-19032	7	14	algorithm	algorithm	NOUN
bracis-19032	7	15	with	with	ADP
bracis-19032	7	16	 	 	SPACE
bracis-19032	7	17	specialized	specialize	VERB
bracis-19032	7	18	genetic	genetic	ADJ
bracis-19032	7	19	operators	operator	NOUN
bracis-19032	7	20	for	for	ADP
bracis-19032	7	21	 	 	SPACE
bracis-19032	7	22	clustering	cluster	VERB
bracis-19032	7	23	chapter	chapter	NOUN
bracis-19032	7	24	©	©	PROPN
bracis-19032	7	25	2023	2023	NUM
bracis-19032	7	26	hybrid	hybrid	NOUN
bracis-19032	7	27	model	model	NOUN
bracis-19032	7	28	for	for	ADP
bracis-19032	7	29	tasks	task	NOUN
bracis-19032	7	30	scheduling	schedule	VERB
bracis-19032	7	31	in	in	ADP
bracis-19032	7	32	distributed	distribute	VERB
bracis-19032	7	33	real	real	ADJ
bracis-19032	7	34	time	time	NOUN
bracis-19032	7	35	system	system	NOUN
bracis-19032	7	36	article	article	NOUN
bracis-19032	7	37	19	19	NUM
bracis-19032	8	1	august	august	PROPN
bracis-19032	8	2	2020	2020	NUM
bracis-19032	8	3	hgasa	hgasa	PROPN
bracis-19032	8	4	:	:	PUNCT
bracis-19032	8	5	an	an	DET
bracis-19032	8	6	improved	improve	VERB
bracis-19032	8	7	hybrid	hybrid	ADJ
bracis-19032	8	8	self	self	NOUN
bracis-19032	8	9	-	-	PUNCT
bracis-19032	8	10	adaptive	adaptive	ADJ
bracis-19032	8	11	metaheuristic	metaheuristic	ADJ
bracis-19032	8	12	approach	approach	NOUN
bracis-19032	8	13	for	for	ADP
bracis-19032	8	14	data	datum	NOUN
bracis-19032	8	15	clustering	cluster	VERB
bracis-19032	8	16	article	article	NOUN
bracis-19032	8	17	26	26	NUM
bracis-19032	8	18	july	july	PROPN
bracis-19032	8	19	2025	2025	NUM
bracis-19032	8	20	explore	explore	VERB
bracis-19032	8	21	related	relate	VERB
bracis-19032	8	22	subjects	subject	NOUN
bracis-19032	8	23	discover	discover	VERB
bracis-19032	8	24	the	the	DET
bracis-19032	8	25	latest	late	ADJ
bracis-19032	8	26	articles	article	NOUN
bracis-19032	8	27	,	,	PUNCT
bracis-19032	8	28	books	book	NOUN
bracis-19032	8	29	and	and	CCONJ
bracis-19032	8	30	news	news	NOUN
bracis-19032	8	31	in	in	ADP
bracis-19032	8	32	related	related	ADJ
bracis-19032	8	33	subjects	subject	NOUN
bracis-19032	8	34	,	,	PUNCT
bracis-19032	8	35	suggested	suggest	VERB
bracis-19032	8	36	using	use	VERB
bracis-19032	8	37	machine	machine	NOUN
bracis-19032	8	38	learning	learning	NOUN
bracis-19032	8	39	.	.	PUNCT
bracis-19032	9	1	computational	computational	ADJ
bracis-19032	9	2	intelligence	intelligence	NOUN
bracis-19032	9	3	functional	functional	ADJ
bracis-19032	9	4	clustering	clustering	ADJ
bracis-19032	9	5	genetic	genetic	ADJ
bracis-19032	9	6	mapping	mapping	NOUN
bracis-19032	9	7	genetic	genetic	ADJ
bracis-19032	9	8	techniques	technique	NOUN
bracis-19032	9	9	bioinformatics	bioinformatics	NOUN
bracis-19032	9	10	genetic	genetic	ADJ
bracis-19032	9	11	databases	database	NOUN
bracis-19032	9	12	1	1	NUM
bracis-19032	9	13	introduction	introduction	NOUN
bracis-19032	9	14	the	the	DET
bracis-19032	9	15	world	world	NOUN
bracis-19032	9	16	is	be	AUX
bracis-19032	9	17	increasingly	increasingly	ADV
bracis-19032	9	18	filled	fill	VERB
bracis-19032	9	19	with	with	ADP
bracis-19032	9	20	fruitful	fruitful	ADJ
bracis-19032	9	21	data	datum	NOUN
bracis-19032	9	22	,	,	PUNCT
bracis-19032	9	23	most	most	ADJ
bracis-19032	9	24	of	of	ADP
bracis-19032	9	25	which	which	PRON
bracis-19032	9	26	daily	daily	ADV
bracis-19032	9	27	stored	store	VERB
bracis-19032	9	28	in	in	ADP
bracis-19032	9	29	electronic	electronic	ADJ
bracis-19032	9	30	media	medium	NOUN
bracis-19032	9	31	.	.	PUNCT
bracis-19032	10	1	as	as	ADP
bracis-19032	10	2	such	such	ADJ
bracis-19032	10	3	,	,	PUNCT
bracis-19032	10	4	there	there	PRON
bracis-19032	10	5	is	be	VERB
bracis-19032	10	6	a	a	DET
bracis-19032	10	7	high	high	ADJ
bracis-19032	10	8	potential	potential	NOUN
bracis-19032	10	9	of	of	ADP
bracis-19032	10	10	technique	technique	NOUN
bracis-19032	10	11	research	research	NOUN
bracis-19032	10	12	and	and	CCONJ
bracis-19032	10	13	development	development	NOUN
bracis-19032	10	14	for	for	ADP
bracis-19032	10	15	automated	automate	VERB
bracis-19032	10	16	data	datum	NOUN
bracis-19032	10	17	retrieval	retrieval	NOUN
bracis-19032	10	18	,	,	PUNCT
bracis-19032	10	19	analysis	analysis	NOUN
bracis-19032	10	20	,	,	PUNCT
bracis-19032	10	21	and	and	CCONJ
bracis-19032	10	22	classification	classification	NOUN
bracis-19032	10	23	[	[	X
bracis-19032	10	24	15	15	NUM
bracis-19032	10	25	]	]	PUNCT
bracis-19032	10	26	.	.	PUNCT
bracis-19032	11	1	around	around	ADV
bracis-19032	11	2	90	90	NUM
bracis-19032	11	3	%	%	NOUN
bracis-19032	11	4	of	of	ADP
bracis-19032	11	5	the	the	DET
bracis-19032	11	6	data	datum	NOUN
bracis-19032	11	7	produced	produce	VERB
bracis-19032	11	8	up	up	ADP
bracis-19032	11	9	 	 	SPACE
bracis-19032	11	10	to	to	ADP
bracis-19032	11	11	2017	2017	NUM
bracis-19032	11	12	were	be	AUX
bracis-19032	11	13	generated	generate	VERB
bracis-19032	11	14	in	in	ADP
bracis-19032	11	15	2015	2015	NUM
bracis-19032	11	16	and	and	CCONJ
bracis-19032	11	17	2016	2016	NUM
bracis-19032	11	18	,	,	PUNCT
bracis-19032	11	19	and	and	CCONJ
bracis-19032	11	20	the	the	DET
bracis-19032	11	21	tendency	tendency	NOUN
bracis-19032	11	22	is	be	AUX
bracis-19032	11	23	to	to	PART
bracis-19032	11	24	biennially	biennially	VERB
bracis-19032	11	25	double	double	VERB
bracis-19032	11	26	this	this	DET
bracis-19032	11	27	amount	amount	NOUN
bracis-19032	11	28	[	[	X
bracis-19032	11	29	17	17	NUM
bracis-19032	11	30	]	]	PUNCT
bracis-19032	11	31	.	.	PUNCT
bracis-19032	12	1	the	the	DET
bracis-19032	12	2	exponential	exponential	ADJ
bracis-19032	12	3	increase	increase	NOUN
bracis-19032	12	4	in	in	ADP
bracis-19032	12	5	size	size	NOUN
bracis-19032	12	6	and	and	CCONJ
bracis-19032	12	7	complexity	complexity	NOUN
bracis-19032	12	8	of	of	ADP
bracis-19032	12	9	big	big	ADJ
bracis-19032	12	10	data	datum	NOUN
bracis-19032	12	11	are	be	AUX
bracis-19032	12	12	aspects	aspect	NOUN
bracis-19032	12	13	worthy	worthy	ADJ
bracis-19032	12	14	of	of	ADP
bracis-19032	12	15	attention	attention	NOUN
bracis-19032	12	16	.	.	PUNCT
bracis-19032	13	1	latent	latent	ADJ
bracis-19032	13	2	potentialities	potentiality	NOUN
bracis-19032	13	3	for	for	ADP
bracis-19032	13	4	decision	decision	NOUN
bracis-19032	13	5	-	-	PUNCT
bracis-19032	13	6	making	making	NOUN
bracis-19032	13	7	based	base	VERB
bracis-19032	13	8	on	on	ADP
bracis-19032	13	9	insights	insight	NOUN
bracis-19032	13	10	learned	learn	VERB
bracis-19032	13	11	from	from	ADP
bracis-19032	13	12	historical	historical	ADJ
bracis-19032	13	13	data	datum	NOUN
bracis-19032	13	14	are	be	AUX
bracis-19032	13	15	only	only	ADV
bracis-19032	13	16	actually	actually	ADV
bracis-19032	13	17	exploited	exploit	VERB
bracis-19032	13	18	if	if	SCONJ
bracis-19032	13	19	pushed	push	VERB
bracis-19032	13	20	into	into	ADP
bracis-19032	13	21	practice	practice	NOUN
bracis-19032	13	22	.	.	PUNCT
bracis-19032	14	1	a	a	DET
bracis-19032	14	2	comprehensive	comprehensive	ADJ
bracis-19032	14	3	information	information	NOUN
bracis-19032	14	4	extraction	extraction	NOUN
bracis-19032	14	5	procedure	procedure	NOUN
bracis-19032	14	6	is	be	AUX
bracis-19032	14	7	composed	compose	VERB
bracis-19032	14	8	of	of	ADP
bracis-19032	14	9	two	two	NUM
bracis-19032	14	10	sub	sub	NOUN
bracis-19032	14	11	-	-	NOUN
bracis-19032	14	12	processes	process	NOUN
bracis-19032	14	13	:	:	PUNCT
bracis-19032	14	14	data	datum	NOUN
bracis-19032	14	15	management	management	NOUN
bracis-19032	14	16	and	and	CCONJ
bracis-19032	14	17	data	datum	NOUN
bracis-19032	14	18	analysis	analysis	NOUN
bracis-19032	14	19	[	[	X
bracis-19032	14	20	15	15	NUM
bracis-19032	14	21	]	]	PUNCT
bracis-19032	14	22	.	.	PUNCT
bracis-19032	15	1	management	management	NOUN
bracis-19032	15	2	supports	support	VERB
bracis-19032	15	3	data	data	NOUN
bracis-19032	15	4	acquisition	acquisition	NOUN
bracis-19032	15	5	,	,	PUNCT
bracis-19032	15	6	handling	handling	NOUN
bracis-19032	15	7	,	,	PUNCT
bracis-19032	15	8	storage	storage	NOUN
bracis-19032	15	9	,	,	PUNCT
bracis-19032	15	10	and	and	CCONJ
bracis-19032	15	11	retrieval	retrieval	NOUN
bracis-19032	15	12	for	for	ADP
bracis-19032	15	13	analysis	analysis	NOUN
bracis-19032	15	14	[	[	X
bracis-19032	15	15	18	18	NUM
bracis-19032	15	16	,	,	PUNCT
bracis-19032	15	17	29	29	NUM
bracis-19032	15	18	]	]	PUNCT
bracis-19032	15	19	;	;	PUNCT
bracis-19032	15	20	in	in	ADP
bracis-19032	15	21	contrast	contrast	NOUN
bracis-19032	15	22	,	,	PUNCT
bracis-19032	15	23	data	datum	NOUN
bracis-19032	15	24	analysis	analysis	NOUN
bracis-19032	15	25	refers	refer	VERB
bracis-19032	15	26	to	to	ADP
bracis-19032	15	27	the	the	DET
bracis-19032	15	28	evaluation	evaluation	NOUN
bracis-19032	15	29	and	and	CCONJ
bracis-19032	15	30	acquisition	acquisition	NOUN
bracis-19032	15	31	of	of	ADP
bracis-19032	15	32	intelligence	intelligence	NOUN
bracis-19032	15	33	from	from	ADP
bracis-19032	15	34	data	data	PROPN
bracis-19032	15	35	.	.	PUNCT
bracis-19032	16	1	it	it	PRON
bracis-19032	16	2	was	be	AUX
bracis-19032	16	3	pointed	point	VERB
bracis-19032	16	4	out	out	ADP
bracis-19032	16	5	by	by	ADP
bracis-19032	16	6	[	[	X
bracis-19032	16	7	17	17	NUM
bracis-19032	16	8	]	]	PUNCT
bracis-19032	16	9	that	that	SCONJ
bracis-19032	16	10	researchers	researcher	NOUN
bracis-19032	16	11	of	of	ADP
bracis-19032	16	12	various	various	ADJ
bracis-19032	16	13	subjects	subject	NOUN
bracis-19032	16	14	have	have	AUX
bracis-19032	16	15	been	be	AUX
bracis-19032	16	16	adopting	adopt	VERB
bracis-19032	16	17	methods	method	NOUN
bracis-19032	16	18	from	from	ADP
bracis-19032	16	19	machine	machine	NOUN
bracis-19032	16	20	learning	learning	NOUN
bracis-19032	16	21	(	(	PUNCT
bracis-19032	16	22	ml	ml	NOUN
bracis-19032	16	23	)	)	PUNCT
bracis-19032	17	1	[	[	X
bracis-19032	17	2	5	5	NUM
bracis-19032	17	3	,	,	PUNCT
bracis-19032	17	4	10	10	NUM
bracis-19032	17	5	]	]	PUNCT
bracis-19032	17	6	and	and	CCONJ
bracis-19032	17	7	data	datum	NOUN
bracis-19032	17	8	mining	mining	NOUN
bracis-19032	17	9	(	(	PUNCT
bracis-19032	17	10	dm	dm	NOUN
bracis-19032	17	11	)	)	PUNCT
bracis-19032	18	1	[	[	X
bracis-19032	18	2	31	31	NUM
bracis-19032	18	3	]	]	PUNCT
bracis-19032	18	4	.	.	PUNCT
bracis-19032	19	1	many	many	ADJ
bracis-19032	19	2	of	of	ADP
bracis-19032	19	3	them	they	PRON
bracis-19032	19	4	did	do	VERB
bracis-19032	19	5	so	so	ADV
bracis-19032	19	6	in	in	ADP
bracis-19032	19	7	big	big	ADJ
bracis-19032	19	8	data	datum	NOUN
bracis-19032	19	9	contexts	context	NOUN
bracis-19032	19	10	such	such	ADJ
bracis-19032	19	11	as	as	ADP
bracis-19032	19	12	stock	stock	NOUN
bracis-19032	19	13	data	datum	NOUN
bracis-19032	19	14	monitoring	monitoring	NOUN
bracis-19032	19	15	,	,	PUNCT
bracis-19032	19	16	financial	financial	ADJ
bracis-19032	19	17	analysis	analysis	NOUN
bracis-19032	19	18	,	,	PUNCT
bracis-19032	19	19	traffic	traffic	NOUN
bracis-19032	19	20	monitoring	monitoring	NOUN
bracis-19032	19	21	,	,	PUNCT
bracis-19032	19	22	and	and	CCONJ
bracis-19032	19	23	structural	structural	ADJ
bracis-19032	19	24	health	health	NOUN
bracis-19032	19	25	monitoring	monitoring	NOUN
bracis-19032	19	26	(	(	PUNCT
bracis-19032	19	27	shm	shm	NOUN
bracis-19032	19	28	)	)	PUNCT
bracis-19032	19	29	[	[	X
bracis-19032	19	30	14	14	NUM
bracis-19032	19	31	]	]	PUNCT
bracis-19032	19	32	.	.	PUNCT
bracis-19032	20	1	[	[	X
bracis-19032	20	2	6	6	NUM
bracis-19032	20	3	]	]	PUNCT
bracis-19032	20	4	demonstrated	demonstrate	VERB
bracis-19032	20	5	the	the	DET
bracis-19032	20	6	relationships	relationship	NOUN
bracis-19032	20	7	between	between	ADP
bracis-19032	20	8	the	the	DET
bracis-19032	20	9	data	data	NOUN
bracis-19032	20	10	management	management	NOUN
bracis-19032	20	11	and	and	CCONJ
bracis-19032	20	12	analysis	analysis	NOUN
bracis-19032	20	13	sub	sub	NOUN
bracis-19032	20	14	-	-	NOUN
bracis-19032	20	15	processes	process	NOUN
bracis-19032	20	16	in	in	ADP
bracis-19032	20	17	practice	practice	NOUN
bracis-19032	20	18	,	,	PUNCT
bracis-19032	20	19	with	with	ADP
bracis-19032	20	20	a	a	DET
bracis-19032	20	21	specific	specific	ADJ
bracis-19032	20	22	focus	focus	NOUN
bracis-19032	20	23	on	on	ADP
bracis-19032	20	24	the	the	DET
bracis-19032	20	25	application	application	NOUN
bracis-19032	20	26	herein	herein	NOUN
bracis-19032	20	27	highlighted	highlight	VERB
bracis-19032	20	28	.	.	PUNCT
bracis-19032	21	1	on	on	ADP
bracis-19032	21	2	one	one	NUM
bracis-19032	21	3	hand	hand	NOUN
bracis-19032	21	4	,	,	PUNCT
bracis-19032	21	5	this	this	DET
bracis-19032	21	6	work	work	NOUN
bracis-19032	21	7	claims	claim	VERB
bracis-19032	21	8	that	that	SCONJ
bracis-19032	21	9	big	big	ADJ
bracis-19032	21	10	data	datum	NOUN
bracis-19032	21	11	is	be	AUX
bracis-19032	21	12	not	not	PART
bracis-19032	21	13	restricted	restrict	VERB
bracis-19032	21	14	to	to	ADP
bracis-19032	21	15	a	a	DET
bracis-19032	21	16	computerized	computerized	ADJ
bracis-19032	21	17	manipulation	manipulation	NOUN
bracis-19032	21	18	of	of	ADP
bracis-19032	21	19	massive	massive	ADJ
bracis-19032	21	20	data	datum	NOUN
bracis-19032	21	21	streams	stream	NOUN
bracis-19032	21	22	;	;	PUNCT
bracis-19032	21	23	on	on	ADP
bracis-19032	21	24	the	the	DET
bracis-19032	21	25	other	other	ADJ
bracis-19032	21	26	hand	hand	NOUN
bracis-19032	21	27	,	,	PUNCT
bracis-19032	21	28	it	it	PRON
bracis-19032	21	29	emphasizes	emphasize	VERB
bracis-19032	21	30	that	that	SCONJ
bracis-19032	21	31	shm	shm	PROPN
bracis-19032	21	32	can	can	AUX
bracis-19032	21	33	learn	learn	VERB
bracis-19032	21	34	ipsis	ipsis	NOUN
bracis-19032	21	35	litteris	litteris	NOUN
bracis-19032	21	36	with	with	ADP
bracis-19032	21	37	the	the	DET
bracis-19032	21	38	conscientious	conscientious	ADJ
bracis-19032	21	39	use	use	NOUN
bracis-19032	21	40	of	of	ADP
bracis-19032	21	41	ml	ml	NOUN
bracis-19032	21	42	.	.	PUNCT
bracis-19032	22	1	the	the	DET
bracis-19032	22	2	problem	problem	NOUN
bracis-19032	22	3	of	of	ADP
bracis-19032	22	4	data	data	NOUN
bracis-19032	22	5	grouping	grouping	NOUN
bracis-19032	22	6	(	(	PUNCT
bracis-19032	22	7	i.e.	i.e.	X
bracis-19032	22	8	,	,	PUNCT
bracis-19032	22	9	data	datum	NOUN
bracis-19032	22	10	clustering	clustering	NOUN
bracis-19032	22	11	)	)	PUNCT
bracis-19032	22	12	is	be	AUX
bracis-19032	22	13	one	one	NUM
bracis-19032	22	14	of	of	ADP
bracis-19032	22	15	the	the	DET
bracis-19032	22	16	main	main	ADJ
bracis-19032	22	17	tasks	task	NOUN
bracis-19032	22	18	in	in	ADP
bracis-19032	22	19	ml	ml	PROPN
bracis-19032	22	20	[	[	X
bracis-19032	22	21	2	2	NUM
bracis-19032	22	22	,	,	PUNCT
bracis-19032	22	23	5	5	NUM
bracis-19032	22	24	]	]	PUNCT
bracis-19032	22	25	and	and	CCONJ
bracis-19032	22	26	dm	dm	X
bracis-19032	23	1	[	[	X
bracis-19032	23	2	31	31	NUM
bracis-19032	23	3	]	]	PUNCT
bracis-19032	23	4	,	,	PUNCT
bracis-19032	23	5	prevailing	prevail	VERB
bracis-19032	23	6	in	in	ADP
bracis-19032	23	7	any	any	DET
bracis-19032	23	8	discipline	discipline	NOUN
bracis-19032	23	9	involving	involve	VERB
bracis-19032	23	10	multivariate	multivariate	NOUN
bracis-19032	23	11	data	datum	NOUN
bracis-19032	23	12	analysis	analysis	NOUN
bracis-19032	23	13	[	[	X
bracis-19032	23	14	21	21	NUM
bracis-19032	23	15	]	]	PUNCT
bracis-19032	23	16	.	.	PUNCT
bracis-19032	24	1	it	it	PRON
bracis-19032	24	2	gained	gain	VERB
bracis-19032	24	3	a	a	DET
bracis-19032	24	4	prominent	prominent	ADJ
bracis-19032	24	5	place	place	NOUN
bracis-19032	24	6	in	in	ADP
bracis-19032	24	7	many	many	ADJ
bracis-19032	24	8	applications	application	NOUN
bracis-19032	24	9	lately	lately	ADV
bracis-19032	24	10	,	,	PUNCT
bracis-19032	24	11	especially	especially	ADV
bracis-19032	24	12	in	in	ADP
bracis-19032	24	13	speech	speech	NOUN
bracis-19032	24	14	recognition	recognition	NOUN
bracis-19032	24	15	[	[	X
bracis-19032	24	16	11	11	NUM
bracis-19032	24	17	]	]	PUNCT
bracis-19032	24	18	,	,	PUNCT
bracis-19032	24	19	web	web	NOUN
bracis-19032	24	20	applications	application	NOUN
bracis-19032	24	21	[	[	X
bracis-19032	24	22	35	35	NUM
bracis-19032	24	23	]	]	PUNCT
bracis-19032	24	24	,	,	PUNCT
bracis-19032	24	25	image	image	NOUN
bracis-19032	24	26	processing	processing	NOUN
bracis-19032	24	27	[	[	X
bracis-19032	24	28	3	3	NUM
bracis-19032	24	29	]	]	PUNCT
bracis-19032	24	30	,	,	PUNCT
bracis-19032	24	31	outlier	outlier	NOUN
bracis-19032	24	32	detection	detection	NOUN
bracis-19032	24	33	[	[	X
bracis-19032	24	34	23	23	NUM
bracis-19032	24	35	]	]	PUNCT
bracis-19032	24	36	,	,	PUNCT
bracis-19032	24	37	bioinformatics	bioinformatic	NOUN
bracis-19032	24	38	[	[	X
bracis-19032	24	39	1	1	NUM
bracis-19032	24	40	]	]	PUNCT
bracis-19032	24	41	,	,	PUNCT
bracis-19032	24	42	and	and	CCONJ
bracis-19032	24	43	shm	shm	X
bracis-19032	25	1	[	[	X
bracis-19032	25	2	9	9	NUM
bracis-19032	25	3	]	]	PUNCT
bracis-19032	25	4	.	.	PUNCT
bracis-19032	26	1	a	a	DET
bracis-19032	26	2	wide	wide	ADJ
bracis-19032	26	3	variety	variety	NOUN
bracis-19032	26	4	of	of	ADP
bracis-19032	26	5	genetic	genetic	ADJ
bracis-19032	26	6	algorithm	algorithm	NOUN
bracis-19032	26	7	(	(	PUNCT
bracis-19032	26	8	ga)-based	ga)-base	VERB
bracis-19032	26	9	clustering	clustering	NOUN
bracis-19032	26	10	techniques	technique	NOUN
bracis-19032	26	11	have	have	AUX
bracis-19032	26	12	been	be	AUX
bracis-19032	26	13	proposed	propose	VERB
bracis-19032	26	14	in	in	ADP
bracis-19032	26	15	recent	recent	ADJ
bracis-19032	26	16	times	time	NOUN
bracis-19032	26	17	[	[	X
bracis-19032	26	18	25	25	NUM
bracis-19032	26	19	,	,	PUNCT
bracis-19032	26	20	28	28	NUM
bracis-19032	26	21	,	,	PUNCT
bracis-19032	26	22	42	42	NUM
bracis-19032	26	23	]	]	PUNCT
bracis-19032	26	24	.	.	PUNCT
bracis-19032	27	1	their	their	PRON
bracis-19032	27	2	search	search	NOUN
bracis-19032	27	3	ability	ability	NOUN
bracis-19032	27	4	is	be	AUX
bracis-19032	27	5	commonly	commonly	ADV
bracis-19032	27	6	exploited	exploit	VERB
bracis-19032	27	7	to	to	PART
bracis-19032	27	8	find	find	VERB
bracis-19032	27	9	suitable	suitable	ADJ
bracis-19032	27	10	prototypes	prototype	NOUN
bracis-19032	27	11	in	in	ADP
bracis-19032	27	12	the	the	DET
bracis-19032	27	13	feature	feature	NOUN
bracis-19032	27	14	space	space	NOUN
bracis-19032	27	15	such	such	ADJ
bracis-19032	27	16	that	that	SCONJ
bracis-19032	27	17	a	a	DET
bracis-19032	27	18	per	per	ADP
bracis-19032	27	19	-	-	PUNCT
bracis-19032	27	20	chromosome	chromosome	NOUN
bracis-19032	27	21	measure	measure	NOUN
bracis-19032	27	22	of	of	ADP
bracis-19032	27	23	the	the	DET
bracis-19032	27	24	clustering	clustering	ADJ
bracis-19032	27	25	results	result	NOUN
bracis-19032	27	26	is	be	AUX
bracis-19032	27	27	optimized	optimize	VERB
bracis-19032	27	28	in	in	ADP
bracis-19032	27	29	each	each	DET
bracis-19032	27	30	generation	generation	NOUN
bracis-19032	27	31	.	.	PUNCT
bracis-19032	28	1	in	in	ADP
bracis-19032	28	2	[	[	X
bracis-19032	28	3	2	2	NUM
bracis-19032	28	4	]	]	PUNCT
bracis-19032	28	5	,	,	PUNCT
bracis-19032	28	6	two	two	NUM
bracis-19032	28	7	conflicting	conflict	VERB
bracis-19032	28	8	functions	function	NOUN
bracis-19032	28	9	were	be	AUX
bracis-19032	28	10	proposed	propose	VERB
bracis-19032	28	11	and	and	CCONJ
bracis-19032	28	12	defined	define	VERB
bracis-19032	28	13	based	base	VERB
bracis-19032	28	14	on	on	ADP
bracis-19032	28	15	cluster	cluster	NOUN
bracis-19032	28	16	cohesion	cohesion	NOUN
bracis-19032	28	17	and	and	CCONJ
bracis-19032	28	18	connectivity	connectivity	NOUN
bracis-19032	28	19	.	.	PUNCT
bracis-19032	29	1	the	the	DET
bracis-19032	29	2	goal	goal	NOUN
bracis-19032	29	3	was	be	AUX
bracis-19032	29	4	to	to	PART
bracis-19032	29	5	reach	reach	VERB
bracis-19032	29	6	well	well	ADV
bracis-19032	29	7	-	-	PUNCT
bracis-19032	29	8	separated	separate	VERB
bracis-19032	29	9	,	,	PUNCT
bracis-19032	29	10	connected	connect	VERB
bracis-19032	29	11	,	,	PUNCT
bracis-19032	29	12	and	and	CCONJ
bracis-19032	29	13	compact	compact	ADJ
bracis-19032	29	14	clusters	cluster	NOUN
bracis-19032	29	15	by	by	ADP
bracis-19032	29	16	means	mean	NOUN
bracis-19032	29	17	of	of	ADP
bracis-19032	29	18	two	two	NUM
bracis-19032	29	19	criteria	criterion	NOUN
bracis-19032	29	20	in	in	ADP
bracis-19032	29	21	an	an	DET
bracis-19032	29	22	efficient	efficient	ADJ
bracis-19032	29	23	,	,	PUNCT
bracis-19032	29	24	multi	multi	ADJ
bracis-19032	29	25	-	-	ADJ
bracis-19032	29	26	objective	objective	ADJ
bracis-19032	29	27	particle	particle	NOUN
bracis-19032	29	28	swarm	swarm	NOUN
bracis-19032	29	29	optimization	optimization	NOUN
bracis-19032	29	30	algorithm	algorithm	NOUN
bracis-19032	29	31	.	.	PUNCT
bracis-19032	30	1	more	more	ADV
bracis-19032	30	2	recently	recently	ADV
bracis-19032	30	3	,	,	PUNCT
bracis-19032	30	4	[	[	X
bracis-19032	30	5	20	20	NUM
bracis-19032	30	6	]	]	PUNCT
bracis-19032	30	7	combined	combined	ADJ
bracis-19032	30	8	k	k	PROPN
bracis-19032	30	9	-means	-means	PROPN
bracis-19032	30	10	and	and	CCONJ
bracis-19032	30	11	a	a	DET
bracis-19032	30	12	ga	ga	NOUN
bracis-19032	30	13	through	through	ADP
bracis-19032	30	14	a	a	DET
bracis-19032	30	15	differentiate	differentiate	ADJ
bracis-19032	30	16	arrangement	arrangement	NOUN
bracis-19032	30	17	of	of	ADP
bracis-19032	30	18	genetic	genetic	ADJ
bracis-19032	30	19	operators	operator	NOUN
bracis-19032	30	20	to	to	PART
bracis-19032	30	21	conglomerate	conglomerate	VERB
bracis-19032	30	22	different	different	ADJ
bracis-19032	30	23	solutions	solution	NOUN
bracis-19032	30	24	,	,	PUNCT
bracis-19032	30	25	with	with	ADP
bracis-19032	30	26	the	the	DET
bracis-19032	30	27	intervention	intervention	NOUN
bracis-19032	30	28	of	of	ADP
bracis-19032	30	29	fast	fast	ADJ
bracis-19032	30	30	hill	hill	NOUN
bracis-19032	30	31	-	-	PUNCT
bracis-19032	30	32	climbing	climb	VERB
bracis-19032	30	33	cycles	cycle	NOUN
bracis-19032	30	34	of	of	ADP
bracis-19032	30	35	k	k	PROPN
bracis-19032	30	36	-means	-means	PROPN
bracis-19032	30	37	.	.	PUNCT
bracis-19032	31	1	an	an	DET
bracis-19032	31	2	unsupervised	unsupervised	ADJ
bracis-19032	31	3	,	,	PUNCT
bracis-19032	31	4	non	non	ADJ
bracis-19032	31	5	-	-	ADJ
bracis-19032	31	6	parametric	parametric	ADJ
bracis-19032	31	7	,	,	PUNCT
bracis-19032	31	8	ga	ga	NOUN
bracis-19032	31	9	-	-	PUNCT
bracis-19032	31	10	based	base	VERB
bracis-19032	31	11	approach	approach	NOUN
bracis-19032	31	12	to	to	PART
bracis-19032	31	13	support	support	VERB
bracis-19032	31	14	the	the	DET
bracis-19032	31	15	shm	shm	NOUN
bracis-19032	31	16	process	process	NOUN
bracis-19032	31	17	in	in	ADP
bracis-19032	31	18	bridges	bridge	NOUN
bracis-19032	31	19	termed	term	VERB
bracis-19032	31	20	genetic	genetic	ADJ
bracis-19032	31	21	algorithm	algorithm	NOUN
bracis-19032	31	22	for	for	ADP
bracis-19032	31	23	decision	decision	NOUN
bracis-19032	31	24	boundary	boundary	ADJ
bracis-19032	31	25	analysis	analysis	NOUN
bracis-19032	31	26	(	(	PUNCT
bracis-19032	31	27	gadba	gadba	NOUN
bracis-19032	31	28	)	)	PUNCT
bracis-19032	31	29	,	,	PUNCT
bracis-19032	31	30	which	which	PRON
bracis-19032	31	31	was	be	AUX
bracis-19032	31	32	proposed	propose	VERB
bracis-19032	31	33	by	by	ADP
bracis-19032	31	34	[	[	X
bracis-19032	31	35	36	36	NUM
bracis-19032	31	36	]	]	PUNCT
bracis-19032	31	37	,	,	PUNCT
bracis-19032	31	38	aims	aim	VERB
bracis-19032	31	39	to	to	ADP
bracis-19032	31	40	group	group	NOUN
bracis-19032	31	41	data	datum	NOUN
bracis-19032	31	42	into	into	ADP
bracis-19032	31	43	natural	natural	ADJ
bracis-19032	31	44	clusters	cluster	NOUN
bracis-19032	31	45	.	.	PUNCT
bracis-19032	32	1	the	the	DET
bracis-19032	32	2	algorithm	algorithm	NOUN
bracis-19032	32	3	is	be	AUX
bracis-19032	32	4	also	also	ADV
bracis-19032	32	5	supported	support	VERB
bracis-19032	32	6	by	by	ADP
bracis-19032	32	7	a	a	DET
bracis-19032	32	8	method	method	NOUN
bracis-19032	32	9	based	base	VERB
bracis-19032	32	10	on	on	ADP
bracis-19032	32	11	spatial	spatial	ADJ
bracis-19032	32	12	geometry	geometry	NOUN
bracis-19032	32	13	to	to	PART
bracis-19032	32	14	eliminate	eliminate	VERB
bracis-19032	32	15	redundant	redundant	ADJ
bracis-19032	32	16	clusters	cluster	NOUN
bracis-19032	32	17	.	.	PUNCT
bracis-19032	33	1	upon	upon	SCONJ
bracis-19032	33	2	testing	testing	NOUN
bracis-19032	33	3	,	,	PUNCT
bracis-19032	33	4	gadba	gadba	PROPN
bracis-19032	33	5	was	be	AUX
bracis-19032	33	6	more	more	ADV
bracis-19032	33	7	efficient	efficient	ADJ
bracis-19032	33	8	in	in	ADP
bracis-19032	33	9	the	the	DET
bracis-19032	33	10	task	task	NOUN
bracis-19032	33	11	of	of	ADP
bracis-19032	33	12	fitting	fit	VERB
bracis-19032	33	13	the	the	DET
bracis-19032	33	14	normal	normal	ADJ
bracis-19032	33	15	condition	condition	NOUN
bracis-19032	33	16	than	than	ADP
bracis-19032	33	17	its	its	PRON
bracis-19032	33	18	state	state	NOUN
bracis-19032	33	19	-	-	PUNCT
bracis-19032	33	20	of	of	ADP
bracis-19032	33	21	-	-	PUNCT
bracis-19032	33	22	the	the	DET
bracis-19032	33	23	-	-	PUNCT
bracis-19032	33	24	art	art	NOUN
bracis-19032	33	25	counterparts	counterpart	NOUN
bracis-19032	33	26	in	in	ADP
bracis-19032	33	27	shm	shm	NOUN
bracis-19032	33	28	contexts	contexts	NOUN
bracis-19032	33	29	.	.	PUNCT
bracis-19032	34	1	however	however	ADV
bracis-19032	34	2	,	,	PUNCT
bracis-19032	34	3	due	due	ADP
bracis-19032	34	4	to	to	ADP
bracis-19032	34	5	the	the	DET
bracis-19032	34	6	specialization	specialization	NOUN
bracis-19032	34	7	of	of	ADP
bracis-19032	34	8	its	its	PRON
bracis-19032	34	9	objective	objective	ADJ
bracis-19032	34	10	function	function	NOUN
bracis-19032	34	11	to	to	ADP
bracis-19032	34	12	shm	shm	NOUN
bracis-19032	34	13	contexts	contexts	NOUN
bracis-19032	34	14	,	,	PUNCT
bracis-19032	34	15	gadba	gadba	PROPN
bracis-19032	34	16	is	be	AUX
bracis-19032	34	17	lackluster	lackluster	ADJ
bracis-19032	34	18	on	on	ADP
bracis-19032	34	19	more	more	ADV
bracis-19032	34	20	general	general	ADJ
bracis-19032	34	21	clustering	clustering	ADJ
bracis-19032	34	22	scenarios	scenario	NOUN
bracis-19032	34	23	.	.	PUNCT
bracis-19032	35	1	this	this	DET
bracis-19032	35	2	work	work	NOUN
bracis-19032	35	3	aims	aim	VERB
bracis-19032	35	4	to	to	PART
bracis-19032	35	5	improve	improve	VERB
bracis-19032	35	6	the	the	DET
bracis-19032	35	7	objective	objective	ADJ
bracis-19032	35	8	function	function	NOUN
bracis-19032	35	9	of	of	ADP
bracis-19032	35	10	gadba	gadba	NOUN
bracis-19032	35	11	to	to	PART
bracis-19032	35	12	expand	expand	VERB
bracis-19032	35	13	its	its	PRON
bracis-19032	35	14	application	application	NOUN
bracis-19032	35	15	potential	potential	NOUN
bracis-19032	35	16	to	to	ADP
bracis-19032	35	17	a	a	DET
bracis-19032	35	18	wider	wide	ADJ
bracis-19032	35	19	range	range	NOUN
bracis-19032	35	20	real	real	ADJ
bracis-19032	35	21	-	-	PUNCT
bracis-19032	35	22	world	world	NOUN
bracis-19032	35	23	problems	problem	NOUN
bracis-19032	35	24	.	.	PUNCT
bracis-19032	36	1	in	in	ADP
bracis-19032	36	2	this	this	DET
bracis-19032	36	3	sense	sense	NOUN
bracis-19032	36	4	,	,	PUNCT
bracis-19032	36	5	a	a	DET
bracis-19032	36	6	version	version	NOUN
bracis-19032	36	7	of	of	ADP
bracis-19032	36	8	gadba	gadba	NOUN
bracis-19032	36	9	based	base	VERB
bracis-19032	36	10	on	on	ADP
bracis-19032	36	11	the	the	DET
bracis-19032	36	12	mutual	mutual	ADJ
bracis-19032	36	13	equidistant	equidistant	ADV
bracis-19032	36	14	-	-	PUNCT
bracis-19032	36	15	scattering	scatter	VERB
bracis-19032	36	16	criterion	criterion	NOUN
bracis-19032	36	17	(	(	PUNCT
bracis-19032	36	18	mec	mec	NOUN
bracis-19032	36	19	)	)	PUNCT
bracis-19032	36	20	is	be	AUX
bracis-19032	36	21	proposed	propose	VERB
bracis-19032	36	22	as	as	ADP
bracis-19032	36	23	a	a	DET
bracis-19032	36	24	general	general	ADJ
bracis-19032	36	25	-	-	PUNCT
bracis-19032	36	26	purpose	purpose	NOUN
bracis-19032	36	27	clustering	clustering	NOUN
bracis-19032	36	28	approach	approach	NOUN
bracis-19032	36	29	.	.	PUNCT
bracis-19032	37	1	four	four	NUM
bracis-19032	37	2	clustering	cluster	VERB
bracis-19032	37	3	algorithms	algorithm	NOUN
bracis-19032	37	4	are	be	AUX
bracis-19032	37	5	compared	compare	VERB
bracis-19032	37	6	against	against	ADP
bracis-19032	37	7	the	the	DET
bracis-19032	37	8	new	new	ADJ
bracis-19032	37	9	proposal	proposal	NOUN
bracis-19032	37	10	:	:	PUNCT
bracis-19032	37	11	k	k	X
bracis-19032	37	12	-means	-mean	NOUN
bracis-19032	37	13	[	[	X
bracis-19032	37	14	26	26	NUM
bracis-19032	37	15	]	]	PUNCT
bracis-19032	37	16	,	,	PUNCT
bracis-19032	37	17	gaussian	gaussian	ADJ
bracis-19032	37	18	mixture	mixture	NOUN
bracis-19032	37	19	models	model	NOUN
bracis-19032	37	20	(	(	PUNCT
bracis-19032	37	21	gmm	gmm	X
bracis-19032	37	22	)	)	PUNCT
bracis-19032	38	1	[	[	X
bracis-19032	38	2	30	30	NUM
bracis-19032	38	3	]	]	PUNCT
bracis-19032	38	4	,	,	PUNCT
bracis-19032	38	5	linkage	linkage	NOUN
bracis-19032	38	6	[	[	X
bracis-19032	38	7	22	22	NUM
bracis-19032	38	8	]	]	PUNCT
bracis-19032	38	9	,	,	PUNCT
bracis-19032	38	10	and	and	CCONJ
bracis-19032	38	11	gadba	gadba	ADJ
bracis-19032	38	12	,	,	PUNCT
bracis-19032	38	13	of	of	ADP
bracis-19032	38	14	which	which	PRON
bracis-19032	38	15	the	the	DET
bracis-19032	38	16	first	first	ADJ
bracis-19032	38	17	three	three	NUM
bracis-19032	38	18	are	be	AUX
bracis-19032	38	19	well	well	ADV
bracis-19032	38	20	-	-	PUNCT
bracis-19032	38	21	known	know	VERB
bracis-19032	38	22	and	and	CCONJ
bracis-19032	38	23	explored	explore	VERB
bracis-19032	38	24	in	in	ADP
bracis-19032	38	25	literature	literature	NOUN
bracis-19032	38	26	.	.	PUNCT
bracis-19032	39	1	the	the	DET
bracis-19032	39	2	remaining	remain	VERB
bracis-19032	39	3	sections	section	NOUN
bracis-19032	39	4	of	of	ADP
bracis-19032	39	5	this	this	DET
bracis-19032	39	6	paper	paper	NOUN
bracis-19032	39	7	are	be	AUX
bracis-19032	39	8	divided	divide	VERB
bracis-19032	39	9	as	as	ADP
bracis-19032	39	10	follows	follow	VERB
bracis-19032	39	11	.	.	PUNCT
bracis-19032	40	1	section	section	NOUN
bracis-19032	40	2	 	 	SPACE
bracis-19032	40	3	2	2	NUM
bracis-19032	40	4	and	and	CCONJ
bracis-19032	40	5	sect	sect	NOUN
bracis-19032	40	6	.	.	PUNCT
bracis-19032	40	7	 	 	SPACE
bracis-19032	40	8	3	3	NUM
bracis-19032	40	9	respectively	respectively	ADV
bracis-19032	40	10	define	define	VERB
bracis-19032	40	11	gadba	gadba	NOUN
bracis-19032	40	12	and	and	CCONJ
bracis-19032	40	13	mec	mec	PROPN
bracis-19032	40	14	.	.	PROPN
bracis-19032	40	15	section	section	NOUN
bracis-19032	40	16	 	 	SPACE
bracis-19032	40	17	4	4	NUM
bracis-19032	40	18	discusses	discuss	VERB
bracis-19032	40	19	the	the	DET
bracis-19032	40	20	performance	performance	NOUN
bracis-19032	40	21	of	of	ADP
bracis-19032	40	22	the	the	DET
bracis-19032	40	23	new	new	ADJ
bracis-19032	40	24	proposal	proposal	NOUN
bracis-19032	40	25	under	under	ADP
bracis-19032	40	26	some	some	DET
bracis-19032	40	27	experimental	experimental	ADJ
bracis-19032	40	28	evaluations	evaluation	NOUN
bracis-19032	40	29	.	.	PUNCT
bracis-19032	41	1	finally	finally	ADV
bracis-19032	41	2	,	,	PUNCT
bracis-19032	41	3	sect	sect	NOUN
bracis-19032	41	4	.	.	PUNCT
bracis-19032	41	5	 	 	SPACE
bracis-19032	42	1	5	5	NUM
bracis-19032	42	2	summarizes	summarize	NOUN
bracis-19032	42	3	and	and	CCONJ
bracis-19032	42	4	ends	end	VERB
bracis-19032	42	5	the	the	DET
bracis-19032	42	6	paper	paper	NOUN
bracis-19032	42	7	.	.	PUNCT
bracis-19032	43	1	2	2	NUM
bracis-19032	43	2	genetic	genetic	ADJ
bracis-19032	43	3	algorithm	algorithm	NOUN
bracis-19032	43	4	for	for	ADP
bracis-19032	43	5	decision	decision	NOUN
bracis-19032	43	6	boundary	boundary	ADJ
bracis-19032	43	7	analysis	analysis	NOUN
bracis-19032	43	8	given	give	VERB
bracis-19032	43	9	a	a	DET
bracis-19032	43	10	minimum	minimum	NOUN
bracis-19032	43	11	(	(	PUNCT
bracis-19032	43	12	\(k_{min}\	\(k_{min}\	NOUN
bracis-19032	43	13	)	)	PUNCT
bracis-19032	43	14	)	)	PUNCT
bracis-19032	43	15	and	and	CCONJ
bracis-19032	43	16	maximum	maximum	ADJ
bracis-19032	43	17	(	(	PUNCT
bracis-19032	43	18	\(k_{max}\	\(k_{max}\	PROPN
bracis-19032	43	19	)	)	PUNCT
bracis-19032	43	20	)	)	PUNCT
bracis-19032	43	21	number	number	NOUN
bracis-19032	43	22	of	of	ADP
bracis-19032	43	23	clusters	cluster	NOUN
bracis-19032	43	24	,	,	PUNCT
bracis-19032	43	25	clustering	clustering	NOUN
bracis-19032	43	26	is	be	AUX
bracis-19032	43	27	done	do	VERB
bracis-19032	43	28	by	by	ADP
bracis-19032	43	29	the	the	DET
bracis-19032	43	30	combination	combination	NOUN
bracis-19032	43	31	of	of	ADP
bracis-19032	43	32	a	a	DET
bracis-19032	43	33	ga	ga	NOUN
bracis-19032	43	34	to	to	PART
bracis-19032	43	35	dispose	dispose	VERB
bracis-19032	43	36	their	their	PRON
bracis-19032	43	37	centroids	centroid	NOUN
bracis-19032	43	38	in	in	ADP
bracis-19032	43	39	the	the	DET
bracis-19032	43	40	m	m	ADJ
bracis-19032	43	41	-	-	ADJ
bracis-19032	43	42	dimensional	dimensional	ADJ
bracis-19032	43	43	feature	feature	NOUN
bracis-19032	43	44	space	space	NOUN
bracis-19032	43	45	,	,	PUNCT
bracis-19032	43	46	and	and	CCONJ
bracis-19032	43	47	a	a	DET
bracis-19032	43	48	method	method	NOUN
bracis-19032	43	49	called	call	VERB
bracis-19032	43	50	concentric	concentric	ADJ
bracis-19032	43	51	hypersphere	hypersphere	X
bracis-19032	43	52	(	(	PUNCT
bracis-19032	43	53	ch	ch	NOUN
bracis-19032	43	54	)	)	PUNCT
bracis-19032	43	55	to	to	PART
bracis-19032	43	56	agglutinate	agglutinate	VERB
bracis-19032	43	57	clusters	cluster	NOUN
bracis-19032	43	58	,	,	PUNCT
bracis-19032	43	59	to	to	PART
bracis-19032	43	60	choose	choose	VERB
bracis-19032	43	61	an	an	DET
bracis-19032	43	62	appropriate	appropriate	ADJ
bracis-19032	43	63	\(k	\(k	NOUN
bracis-19032	43	64	\in	\in	ADJ
bracis-19032	43	65	[	[	X
bracis-19032	43	66	k_{min	k_{min	NOUN
bracis-19032	43	67	}	}	PUNCT
bracis-19032	43	68	,	,	PUNCT
bracis-19032	43	69	k_{max}]\	k_{max}]\	NOUN
bracis-19032	43	70	)	)	PUNCT
bracis-19032	44	1	[	[	X
bracis-19032	44	2	37	37	NUM
bracis-19032	44	3	]	]	PUNCT
bracis-19032	44	4	.	.	PUNCT
bracis-19032	45	1	the	the	DET
bracis-19032	45	2	initial	initial	ADJ
bracis-19032	45	3	population	population	NOUN
bracis-19032	45	4	\(\mathbf	\(\mathbf	VERB
bracis-19032	45	5	{	{	PUNCT
bracis-19032	45	6	p}(t{=}0)\	p}(t{=}0)\	NOUN
bracis-19032	45	7	)	)	PUNCT
bracis-19032	45	8	is	be	AUX
bracis-19032	45	9	randomly	randomly	ADV
bracis-19032	45	10	created	create	VERB
bracis-19032	45	11	and	and	CCONJ
bracis-19032	45	12	each	each	DET
bracis-19032	45	13	individual	individual	NOUN
bracis-19032	45	14	represents	represent	VERB
bracis-19032	45	15	a	a	DET
bracis-19032	45	16	set	set	NOUN
bracis-19032	45	17	of	of	ADP
bracis-19032	45	18	k	k	PROPN
bracis-19032	45	19	centroids	centroid	NOUN
bracis-19032	45	20	,	,	PUNCT
bracis-19032	45	21	where	where	SCONJ
bracis-19032	45	22	k	k	PROPN
bracis-19032	45	23	is	be	AUX
bracis-19032	45	24	randomly	randomly	ADV
bracis-19032	45	25	selected	select	VERB
bracis-19032	45	26	.	.	PUNCT
bracis-19032	46	1	the	the	DET
bracis-19032	46	2	chromosome	chromosome	NOUN
bracis-19032	46	3	is	be	AUX
bracis-19032	46	4	then	then	ADV
bracis-19032	46	5	formed	form	VERB
bracis-19032	46	6	by	by	ADP
bracis-19032	46	7	concatenating	concatenate	VERB
bracis-19032	46	8	k	k	PROPN
bracis-19032	46	9	feature	feature	NOUN
bracis-19032	46	10	vectors	vector	NOUN
bracis-19032	46	11	(	(	PUNCT
bracis-19032	46	12	fig	fig	NOUN
bracis-19032	46	13	.	.	PUNCT
bracis-19032	46	14	 	 	SPACE
bracis-19032	46	15	1	1	NUM
bracis-19032	46	16	)	)	PUNCT
bracis-19032	46	17	,	,	PUNCT
bracis-19032	46	18	whose	whose	DET
bracis-19032	46	19	values	value	NOUN
bracis-19032	46	20	are	be	AUX
bracis-19032	46	21	initialized	initialize	VERB
bracis-19032	46	22	by	by	ADP
bracis-19032	46	23	randomly	randomly	ADV
bracis-19032	46	24	selecting	select	VERB
bracis-19032	46	25	k	k	PROPN
bracis-19032	46	26	data	datum	NOUN
bracis-19032	46	27	points	point	NOUN
bracis-19032	46	28	from	from	ADP
bracis-19032	46	29	the	the	DET
bracis-19032	46	30	training	training	NOUN
bracis-19032	46	31	set	set	NOUN
bracis-19032	46	32	.	.	PUNCT
bracis-19032	47	1	a	a	DET
bracis-19032	47	2	length	length	NOUN
bracis-19032	47	3	ratio	ratio	NOUN
bracis-19032	47	4	is	be	AUX
bracis-19032	47	5	defined	define	VERB
bracis-19032	47	6	as	as	ADP
bracis-19032	47	7	\(\gamma	\(\gamma	VERB
bracis-19032	47	8	_	_	PUNCT
bracis-19032	47	9	{	{	PUNCT
bracis-19032	47	10	i	i	NOUN
bracis-19032	47	11	}	}	PUNCT
bracis-19032	47	12	=	=	PUNCT
bracis-19032	47	13	k_{i	k_{i	PROPN
bracis-19032	47	14	}	}	PUNCT
bracis-19032	47	15	/	/	SYM
bracis-19032	47	16	k_{max}\	k_{max}\	PROPN
bracis-19032	47	17	)	)	PUNCT
bracis-19032	47	18	,	,	PUNCT
bracis-19032	47	19	where	where	SCONJ
bracis-19032	47	20	\(k_{i}\	\(k_{i}\	NOUN
bracis-19032	47	21	)	)	PUNCT
bracis-19032	47	22	is	be	AUX
bracis-19032	47	23	the	the	DET
bracis-19032	47	24	number	number	NOUN
bracis-19032	47	25	of	of	ADP
bracis-19032	47	26	active	active	ADJ
bracis-19032	47	27	centroids	centroid	NOUN
bracis-19032	47	28	in	in	ADP
bracis-19032	47	29	individual	individual	ADJ
bracis-19032	47	30	i.	i.	NOUN
bracis-19032	47	31	the	the	DET
bracis-19032	47	32	role	role	NOUN
bracis-19032	47	33	of	of	ADP
bracis-19032	47	34	\(\gamma	\(\gamma	X
bracis-19032	47	35	\	\	NOUN
bracis-19032	47	36	)	)	PUNCT
bracis-19032	47	37	is	be	AUX
bracis-19032	47	38	to	to	PART
bracis-19032	47	39	define	define	VERB
bracis-19032	47	40	the	the	DET
bracis-19032	47	41	number	number	NOUN
bracis-19032	47	42	of	of	ADP
bracis-19032	47	43	active	active	ADJ
bracis-19032	47	44	centroids	centroid	NOUN
bracis-19032	47	45	for	for	ADP
bracis-19032	47	46	a	a	DET
bracis-19032	47	47	given	give	VERB
bracis-19032	47	48	candidate	candidate	NOUN
bracis-19032	47	49	solution	solution	NOUN
bracis-19032	47	50	,	,	PUNCT
bracis-19032	47	51	since	since	SCONJ
bracis-19032	47	52	a	a	DET
bracis-19032	47	53	single	single	ADJ
bracis-19032	47	54	individual	individual	NOUN
bracis-19032	47	55	might	might	AUX
bracis-19032	47	56	have	have	AUX
bracis-19032	47	57	enabled	enable	VERB
bracis-19032	47	58	/	/	SYM
bracis-19032	47	59	disabled	disabled	ADJ
bracis-19032	47	60	centroids	centroid	NOUN
bracis-19032	47	61	during	during	ADP
bracis-19032	47	62	the	the	DET
bracis-19032	47	63	recombination	recombination	NOUN
bracis-19032	47	64	process	process	NOUN
bracis-19032	47	65	.	.	PUNCT
bracis-19032	48	1	fig	fig	NOUN
bracis-19032	48	2	.	.	PUNCT
bracis-19032	49	1	1	1	X
bracis-19032	49	2	.	.	X
bracis-19032	49	3	chromosome	chromosome	NOUN
bracis-19032	49	4	organization	organization	NOUN
bracis-19032	49	5	in	in	ADP
bracis-19032	49	6	gadba	gadba	PROPN
bracis-19032	49	7	.	.	PUNCT
bracis-19032	50	1	full	full	ADJ
bracis-19032	50	2	size	size	NOUN
bracis-19032	50	3	image	image	NOUN
bracis-19032	50	4	the	the	DET
bracis-19032	50	5	parent	parent	NOUN
bracis-19032	50	6	selection	selection	NOUN
bracis-19032	50	7	is	be	AUX
bracis-19032	50	8	based	base	VERB
bracis-19032	50	9	on	on	ADP
bracis-19032	50	10	tournament	tournament	NOUN
bracis-19032	50	11	with	with	ADP
bracis-19032	50	12	reposition	reposition	NOUN
bracis-19032	50	13	,	,	PUNCT
bracis-19032	50	14	where	where	SCONJ
bracis-19032	50	15	r	r	NOUN
bracis-19032	50	16	individuals	individual	NOUN
bracis-19032	50	17	are	be	AUX
bracis-19032	50	18	randomly	randomly	ADV
bracis-19032	50	19	selected	select	VERB
bracis-19032	50	20	and	and	CCONJ
bracis-19032	50	21	the	the	DET
bracis-19032	50	22	fittest	fit	ADJ
bracis-19032	50	23	one	one	NOUN
bracis-19032	50	24	is	be	AUX
bracis-19032	50	25	chosen	choose	VERB
bracis-19032	50	26	to	to	PART
bracis-19032	50	27	recombine	recombine	VERB
bracis-19032	50	28	with	with	ADP
bracis-19032	50	29	other	other	ADJ
bracis-19032	50	30	individual	individual	NOUN
bracis-19032	50	31	chosen	choose	VERB
bracis-19032	50	32	in	in	ADP
bracis-19032	50	33	the	the	DET
bracis-19032	50	34	same	same	ADJ
bracis-19032	50	35	way	way	NOUN
bracis-19032	50	36	.	.	PUNCT
bracis-19032	51	1	the	the	DET
bracis-19032	51	2	recombination	recombination	NOUN
bracis-19032	51	3	is	be	AUX
bracis-19032	51	4	conducted	conduct	VERB
bracis-19032	51	5	in	in	ADP
bracis-19032	51	6	three	three	NUM
bracis-19032	51	7	steps	step	NOUN
bracis-19032	51	8	for	for	ADP
bracis-19032	51	9	each	each	DET
bracis-19032	51	10	pair	pair	NOUN
bracis-19032	51	11	of	of	ADP
bracis-19032	51	12	parents	parent	NOUN
bracis-19032	51	13	\(p_i\	\(p_i\	NOUN
bracis-19032	51	14	)	)	PUNCT
bracis-19032	51	15	and	and	CCONJ
bracis-19032	51	16	\(p_j\	\(p_j\	PROPN
bracis-19032	51	17	)	)	PUNCT
bracis-19032	51	18	to	to	PART
bracis-19032	51	19	generate	generate	VERB
bracis-19032	51	20	a	a	DET
bracis-19032	51	21	pair	pair	NOUN
bracis-19032	51	22	of	of	ADP
bracis-19032	51	23	descendants	descendant	NOUN
bracis-19032	51	24	:	:	PUNCT
bracis-19032	52	1	1	1	X
bracis-19032	52	2	.	.	X
bracis-19032	52	3	a	a	DET
bracis-19032	52	4	random	random	ADJ
bracis-19032	52	5	number	number	NOUN
bracis-19032	52	6	\(r	\(r	VERB
bracis-19032	52	7	\in	\in	ADJ
bracis-19032	52	8	[	[	X
bracis-19032	52	9	0,1]\	0,1]\	NUM
bracis-19032	52	10	)	)	PUNCT
bracis-19032	52	11	is	be	AUX
bracis-19032	52	12	compared	compare	VERB
bracis-19032	52	13	with	with	ADP
bracis-19032	52	14	\(p_{rec}\	\(p_{rec}\	NOUN
bracis-19032	52	15	)	)	PUNCT
bracis-19032	52	16	defined	define	VERB
bracis-19032	52	17	a	a	DET
bracis-19032	52	18	priori	priori	NOUN
bracis-19032	52	19	.	.	PUNCT
bracis-19032	53	1	if	if	SCONJ
bracis-19032	53	2	\(r	\(r	NOUN
bracis-19032	53	3	\le	\le	PROPN
bracis-19032	53	4	p_{rec}\	p_{rec}\	PROPN
bracis-19032	53	5	)	)	PUNCT
bracis-19032	53	6	,	,	PUNCT
bracis-19032	53	7	then	then	ADV
bracis-19032	53	8	two	two	NUM
bracis-19032	53	9	cut	cut	NOUN
bracis-19032	53	10	points	point	NOUN
bracis-19032	53	11	\(\pi	\(\pi	PROPN
bracis-19032	54	1	_	_	NOUN
bracis-19032	54	2	1\	1\	NUM
bracis-19032	54	3	)	)	PUNCT
bracis-19032	54	4	and	and	CCONJ
bracis-19032	54	5	\(\pi	\(\pi	ADP
bracis-19032	54	6	_	_	NOUN
bracis-19032	54	7	2\	2\	X
bracis-19032	54	8	)	)	PUNCT
bracis-19032	54	9	are	be	AUX
bracis-19032	54	10	selected	select	VERB
bracis-19032	54	11	such	such	ADJ
bracis-19032	54	12	that	that	SCONJ
bracis-19032	54	13	\(1	\(1	PROPN
bracis-19032	54	14	\le	\le	PROPN
bracis-19032	54	15	\pi	\pi	PROPN
bracis-19032	54	16	_	_	PROPN
bracis-19032	54	17	1	1	NUM
bracis-19032	54	18	<	<	X
bracis-19032	54	19	\pi	\pi	X
bracis-19032	54	20	_	_	NOUN
bracis-19032	54	21	2	2	NUM
bracis-19032	54	22	\le	\le	PROPN
bracis-19032	54	23	min(k_i	min(k_i	NOUN
bracis-19032	54	24	,	,	PUNCT
bracis-19032	54	25	k_j)\	k_j)\	NOUN
bracis-19032	54	26	)	)	PUNCT
bracis-19032	54	27	.	.	PUNCT
bracis-19032	55	1	the	the	DET
bracis-19032	55	2	centroids	centroid	NOUN
bracis-19032	55	3	in	in	ADP
bracis-19032	55	4	the	the	DET
bracis-19032	55	5	range	range	NOUN
bracis-19032	55	6	are	be	AUX
bracis-19032	55	7	then	then	ADV
bracis-19032	55	8	swapped	swap	VERB
bracis-19032	55	9	.	.	PUNCT
bracis-19032	56	1	if	if	SCONJ
bracis-19032	56	2	\(r	\(r	NOUN
bracis-19032	56	3	>	>	X
bracis-19032	56	4	p_{rec}\	p_{rec}\	PROPN
bracis-19032	56	5	)	)	PUNCT
bracis-19032	56	6	,	,	PUNCT
bracis-19032	56	7	the	the	DET
bracis-19032	56	8	parents	parent	NOUN
bracis-19032	56	9	remain	remain	VERB
bracis-19032	56	10	untouched	untouched	ADJ
bracis-19032	56	11	.	.	PUNCT
bracis-19032	57	1	2	2	X
bracis-19032	57	2	.	.	X
bracis-19032	57	3	likewise	likewise	ADV
bracis-19032	57	4	,	,	PUNCT
bracis-19032	57	5	two	two	NUM
bracis-19032	57	6	random	random	ADJ
bracis-19032	57	7	numbers	number	NOUN
bracis-19032	57	8	\(r	\(r	ADJ
bracis-19032	57	9	,	,	PUNCT
bracis-19032	57	10	t	t	NOUN
bracis-19032	57	11	\in	\in	PROPN
bracis-19032	58	1	[	[	X
bracis-19032	58	2	0,1]\	0,1]\	NOUN
bracis-19032	58	3	)	)	PUNCT
bracis-19032	58	4	are	be	AUX
bracis-19032	58	5	picked	pick	VERB
bracis-19032	58	6	for	for	ADP
bracis-19032	58	7	each	each	DET
bracis-19032	58	8	centroid	centroid	NOUN
bracis-19032	58	9	position	position	NOUN
bracis-19032	58	10	in	in	ADP
bracis-19032	58	11	the	the	DET
bracis-19032	58	12	parents	parent	NOUN
bracis-19032	58	13	and	and	CCONJ
bracis-19032	58	14	,	,	PUNCT
bracis-19032	58	15	if	if	SCONJ
bracis-19032	58	16	\(r	\(r	NOUN
bracis-19032	58	17	\le	\le	PROPN
bracis-19032	58	18	p_{pos}\	p_{pos}\	PROPN
bracis-19032	58	19	)	)	PUNCT
bracis-19032	58	20	,	,	PUNCT
bracis-19032	58	21	defined	define	VERB
bracis-19032	58	22	a	a	DET
bracis-19032	58	23	priori	priori	ADV
bracis-19032	58	24	,	,	PUNCT
bracis-19032	58	25	an	an	DET
bracis-19032	58	26	arithmetic	arithmetic	ADJ
bracis-19032	58	27	recombination	recombination	NOUN
bracis-19032	58	28	is	be	AUX
bracis-19032	58	29	conducted	conduct	VERB
bracis-19032	58	30	as	as	SCONJ
bracis-19032	58	31	follows	follow	VERB
bracis-19032	58	32	:	:	PUNCT
bracis-19032	59	1	$	$	SYM
bracis-19032	59	2	$	$	SYM
bracis-19032	59	3	\begin{aligned	\begin{aligne	VERB
bracis-19032	59	4	}	}	PUNCT
bracis-19032	59	5	f_{\mathbf	f_{\mathbf	VERB
bracis-19032	59	6	{	{	PUNCT
bracis-19032	59	7	x},t}^{i	x},t}^{i	PROPN
bracis-19032	59	8	}	}	PUNCT
bracis-19032	59	9	=	=	VERB
bracis-19032	59	10	f_{\mathbf	f_{\mathbf	NOUN
bracis-19032	59	11	{	{	PUNCT
bracis-19032	59	12	x},t}^{i	x},t}^{i	PROPN
bracis-19032	59	13	}	}	PUNCT
bracis-19032	59	14	+	+	CCONJ
bracis-19032	59	15	(	(	PUNCT
bracis-19032	59	16	f_{\mathbf	f_{\mathbf	PUNCT
bracis-19032	59	17	{	{	PUNCT
bracis-19032	59	18	y},t}^{j}-f_{\mathbf	y},t}^{j}-f_{\mathbf	NOUN
bracis-19032	59	19	{	{	PUNCT
bracis-19032	59	20	x},t}^{i})t	x},t}^{i})t	PROPN
bracis-19032	59	21	,	,	PUNCT
bracis-19032	59	22	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	59	23	(	(	PUNCT
bracis-19032	59	24	1	1	NUM
bracis-19032	59	25	)	)	PUNCT
bracis-19032	59	26	$	$	SYM
bracis-19032	59	27	$	$	SYM
bracis-19032	59	28	\begin{aligned	\begin{aligne	VERB
bracis-19032	59	29	}	}	PUNCT
bracis-19032	59	30	f_{\mathbf	f_{\mathbf	VERB
bracis-19032	59	31	{	{	PUNCT
bracis-19032	59	32	x},t}^{j	x},t}^{j	NOUN
bracis-19032	59	33	}	}	PUNCT
bracis-19032	59	34	=	=	SYM
bracis-19032	59	35	f_{\mathbf	f_{\mathbf	NOUN
bracis-19032	59	36	{	{	PUNCT
bracis-19032	59	37	x},t}^{j	x},t}^{j	NOUN
bracis-19032	59	38	}	}	PUNCT
bracis-19032	59	39	+	+	CCONJ
bracis-19032	59	40	(	(	PUNCT
bracis-19032	59	41	f_{\mathbf	f_{\mathbf	PUNCT
bracis-19032	59	42	{	{	PUNCT
bracis-19032	59	43	y},t}^{i}-f_{\mathbf	y},t}^{i}-f_{\mathbf	NOUN
bracis-19032	59	44	{	{	PUNCT
bracis-19032	59	45	x},t}^{j})t	x},t}^{j})t	PROPN
bracis-19032	59	46	,	,	PUNCT
bracis-19032	59	47	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	59	48	(	(	PUNCT
bracis-19032	59	49	2	2	NUM
bracis-19032	59	50	)	)	PUNCT
bracis-19032	59	51	where	where	SCONJ
bracis-19032	59	52	\(f_{\mathbf	\(f_{\mathbf	NOUN
bracis-19032	59	53	{	{	PUNCT
bracis-19032	59	54	x},t}^{i}\	x},t}^{i}\	X
bracis-19032	59	55	)	)	PUNCT
bracis-19032	59	56	and	and	CCONJ
bracis-19032	59	57	\(f_{\mathbf	\(f_{\mathbf	NOUN
bracis-19032	59	58	{	{	PUNCT
bracis-19032	59	59	x},t}^{j}\	x},t}^{j}\	X
bracis-19032	59	60	)	)	PUNCT
bracis-19032	59	61	are	be	AUX
bracis-19032	59	62	the	the	DET
bracis-19032	59	63	values	value	NOUN
bracis-19032	59	64	in	in	ADP
bracis-19032	59	65	the	the	DET
bracis-19032	59	66	tth	tth	NOUN
bracis-19032	59	67	position	position	NOUN
bracis-19032	59	68	of	of	ADP
bracis-19032	59	69	\(\mathbf	\(\mathbf	PROPN
bracis-19032	59	70	{	{	PUNCT
bracis-19032	59	71	x}\)th	x}\)th	PROPN
bracis-19032	59	72	centroid	centroid	PROPN
bracis-19032	59	73	from	from	ADP
bracis-19032	59	74	parents	parent	NOUN
bracis-19032	59	75	\(p_i\	\(p_i\	NOUN
bracis-19032	59	76	)	)	PUNCT
bracis-19032	59	77	and	and	CCONJ
bracis-19032	59	78	\(p_j\	\(p_j\	PROPN
bracis-19032	59	79	)	)	PUNCT
bracis-19032	59	80	,	,	PUNCT
bracis-19032	59	81	respectively	respectively	ADV
bracis-19032	59	82	.	.	PUNCT
bracis-19032	60	1	similarly	similarly	ADV
bracis-19032	60	2	,	,	PUNCT
bracis-19032	60	3	\(f_{\mathbf	\(f_{\mathbf	NOUN
bracis-19032	60	4	{	{	PUNCT
bracis-19032	60	5	y},t}^{i}\	y},t}^{i}\	X
bracis-19032	60	6	)	)	PUNCT
bracis-19032	60	7	and	and	CCONJ
bracis-19032	60	8	\(f_{\mathbf	\(f_{\mathbf	NOUN
bracis-19032	60	9	{	{	PUNCT
bracis-19032	60	10	y},t}^{j}\	y},t}^{j}\	NOUN
bracis-19032	60	11	)	)	PUNCT
bracis-19032	60	12	respectively	respectively	ADV
bracis-19032	60	13	correspond	correspond	VERB
bracis-19032	60	14	to	to	ADP
bracis-19032	60	15	the	the	DET
bracis-19032	60	16	yth	yth	PROPN
bracis-19032	60	17	centroid	centroid	NOUN
bracis-19032	60	18	of	of	ADP
bracis-19032	60	19	the	the	DET
bracis-19032	60	20	i	i	PROPN
bracis-19032	60	21	and	and	CCONJ
bracis-19032	60	22	jth	jth	PROPN
bracis-19032	60	23	parents	parent	NOUN
bracis-19032	60	24	.	.	PUNCT
bracis-19032	61	1	a	a	DET
bracis-19032	61	2	pair	pair	NOUN
bracis-19032	61	3	of	of	ADP
bracis-19032	61	4	parents	parent	NOUN
bracis-19032	61	5	can	can	AUX
bracis-19032	61	6	recombine	recombine	VERB
bracis-19032	61	7	even	even	ADV
bracis-19032	61	8	if	if	SCONJ
bracis-19032	61	9	they	they	PRON
bracis-19032	61	10	have	have	VERB
bracis-19032	61	11	a	a	DET
bracis-19032	61	12	different	different	ADJ
bracis-19032	61	13	number	number	NOUN
bracis-19032	61	14	of	of	ADP
bracis-19032	61	15	genes	gene	NOUN
bracis-19032	61	16	.	.	PUNCT
bracis-19032	62	1	3	3	X
bracis-19032	62	2	.	.	X
bracis-19032	62	3	finally	finally	ADV
bracis-19032	62	4	,	,	PUNCT
bracis-19032	62	5	the	the	DET
bracis-19032	62	6	last	last	ADJ
bracis-19032	62	7	step	step	NOUN
bracis-19032	62	8	consists	consist	VERB
bracis-19032	62	9	in	in	ADP
bracis-19032	62	10	arithmetically	arithmetically	ADV
bracis-19032	62	11	recombining	recombine	VERB
bracis-19032	62	12	the	the	DET
bracis-19032	62	13	parents	parent	NOUN
bracis-19032	62	14	’	’	PART
bracis-19032	62	15	length	length	NOUN
bracis-19032	62	16	ratio	ratio	NOUN
bracis-19032	62	17	to	to	PART
bracis-19032	62	18	define	define	VERB
bracis-19032	62	19	the	the	DET
bracis-19032	62	20	length	length	NOUN
bracis-19032	62	21	ratios	ratio	NOUN
bracis-19032	62	22	of	of	ADP
bracis-19032	62	23	the	the	DET
bracis-19032	62	24	offspring	offspring	NOUN
bracis-19032	62	25	individuals	individual	NOUN
bracis-19032	62	26	.	.	PUNCT
bracis-19032	63	1	the	the	DET
bracis-19032	63	2	mutation	mutation	NOUN
bracis-19032	63	3	is	be	AUX
bracis-19032	63	4	the	the	DET
bracis-19032	63	5	result	result	NOUN
bracis-19032	63	6	of	of	ADP
bracis-19032	63	7	a	a	DET
bracis-19032	63	8	personalized	personalized	ADJ
bracis-19032	63	9	two	two	NUM
bracis-19032	63	10	-	-	PUNCT
bracis-19032	63	11	step	step	NOUN
bracis-19032	63	12	process	process	NOUN
bracis-19032	63	13	:	:	PUNCT
bracis-19032	63	14	1	1	X
bracis-19032	63	15	.	.	X
bracis-19032	63	16	let	let	AUX
bracis-19032	63	17	\(t_{\mathbf	\(t_{\mathbf	VERB
bracis-19032	63	18	{	{	PUNCT
bracis-19032	63	19	x	x	NOUN
bracis-19032	63	20	}	}	PUNCT
bracis-19032	63	21	}	}	PUNCT
bracis-19032	63	22	=	=	SYM
bracis-19032	63	23	k_{max}^{-1}\	k_{max}^{-1}\	X
bracis-19032	63	24	)	)	PUNCT
bracis-19032	63	25	and	and	CCONJ
bracis-19032	63	26	\(t_r\	\(t_r\	PROPN
bracis-19032	63	27	)	)	PUNCT
bracis-19032	63	28	be	be	VERB
bracis-19032	63	29	a	a	DET
bracis-19032	63	30	random	random	ADJ
bracis-19032	63	31	number	number	NOUN
bracis-19032	63	32	on	on	ADP
bracis-19032	63	33	interval	interval	NOUN
bracis-19032	63	34	[	[	X
bracis-19032	63	35	0	0	NUM
bracis-19032	63	36	,	,	PUNCT
bracis-19032	63	37	 	 	SPACE
bracis-19032	63	38	1	1	NUM
bracis-19032	63	39	]	]	PUNCT
bracis-19032	63	40	.	.	PUNCT
bracis-19032	64	1	the	the	DET
bracis-19032	64	2	number	number	NOUN
bracis-19032	64	3	of	of	ADP
bracis-19032	64	4	centroids	centroid	NOUN
bracis-19032	64	5	to	to	PART
bracis-19032	64	6	be	be	AUX
bracis-19032	64	7	enabled	enable	VERB
bracis-19032	64	8	in	in	ADP
bracis-19032	64	9	an	an	DET
bracis-19032	64	10	offspring	offspring	NOUN
bracis-19032	64	11	individual	individual	NOUN
bracis-19032	64	12	is	be	AUX
bracis-19032	64	13	.	.	PUNCT
bracis-19032	65	1	when	when	SCONJ
bracis-19032	65	2	\(k	\(k	NOUN
bracis-19032	65	3	<	<	X
bracis-19032	65	4	k_{new	k_{new	ADJ
bracis-19032	65	5	}	}	PUNCT
bracis-19032	65	6	\le	\le	PROPN
bracis-19032	65	7	k_{max}\	k_{max}\	PROPN
bracis-19032	65	8	)	)	PUNCT
bracis-19032	65	9	,	,	PUNCT
bracis-19032	65	10	the	the	DET
bracis-19032	65	11	missing	miss	VERB
bracis-19032	65	12	positions	position	NOUN
bracis-19032	65	13	are	be	AUX
bracis-19032	65	14	filled	fill	VERB
bracis-19032	65	15	with	with	ADP
bracis-19032	65	16	the	the	DET
bracis-19032	65	17	information	information	NOUN
bracis-19032	65	18	of	of	ADP
bracis-19032	65	19	\(k_{new}-k\	\(k_{new}-k\	NOUN
bracis-19032	65	20	)	)	PUNCT
bracis-19032	65	21	data	data	NOUN
bracis-19032	65	22	points	point	NOUN
bracis-19032	65	23	chosen	choose	VERB
bracis-19032	65	24	at	at	ADP
bracis-19032	65	25	random	random	ADJ
bracis-19032	65	26	.	.	PUNCT
bracis-19032	66	1	2	2	X
bracis-19032	66	2	.	.	X
bracis-19032	66	3	each	each	DET
bracis-19032	66	4	centroid	centroid	NOUN
bracis-19032	66	5	position	position	NOUN
bracis-19032	66	6	can	can	AUX
bracis-19032	66	7	be	be	AUX
bracis-19032	66	8	mutated	mutate	VERB
bracis-19032	66	9	with	with	ADP
bracis-19032	66	10	a	a	DET
bracis-19032	66	11	probability	probability	NOUN
bracis-19032	66	12	\(p_{mut}\	\(p_{mut}\	NOUN
bracis-19032	66	13	)	)	PUNCT
bracis-19032	66	14	,	,	PUNCT
bracis-19032	66	15	defined	define	VERB
bracis-19032	66	16	a	a	DET
bracis-19032	66	17	priori	priori	ADV
bracis-19032	66	18	,	,	PUNCT
bracis-19032	66	19	in	in	ADP
bracis-19032	66	20	which	which	PRON
bracis-19032	66	21	a	a	DET
bracis-19032	66	22	gaussian	gaussian	ADJ
bracis-19032	66	23	mutation	mutation	NOUN
bracis-19032	66	24	is	be	AUX
bracis-19032	66	25	applied	apply	VERB
bracis-19032	66	26	by	by	ADP
bracis-19032	66	27	using	use	VERB
bracis-19032	66	28	$	$	SYM
bracis-19032	66	29	$	$	SYM
bracis-19032	66	30	\begin{aligned	\begin{aligne	VERB
bracis-19032	66	31	}	}	PUNCT
bracis-19032	66	32	f_{\mathbf	f_{\mathbf	VERB
bracis-19032	66	33	{	{	PUNCT
bracis-19032	66	34	x},t}^{j	x},t}^{j	NOUN
bracis-19032	66	35	}	}	PUNCT
bracis-19032	66	36	=	=	SYM
bracis-19032	66	37	f_{\mathbf	f_{\mathbf	NOUN
bracis-19032	66	38	{	{	PUNCT
bracis-19032	66	39	x},t}^{j	x},t}^{j	NOUN
bracis-19032	66	40	}	}	PUNCT
bracis-19032	66	41	+	+	X
bracis-19032	66	42	\mathcal	\mathcal	ADJ
bracis-19032	66	43	{	{	PUNCT
bracis-19032	66	44	n}(0,1	n}(0,1	NOUN
bracis-19032	66	45	)	)	PUNCT
bracis-19032	66	46	,	,	PUNCT
bracis-19032	66	47	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	66	48	(	(	PUNCT
bracis-19032	66	49	3	3	NUM
bracis-19032	66	50	)	)	PUNCT
bracis-19032	66	51	where	where	SCONJ
bracis-19032	66	52	\(\mathcal	\(\mathcal	ADJ
bracis-19032	66	53	{	{	PUNCT
bracis-19032	66	54	n}(0,1)\	n}(0,1)\	PROPN
bracis-19032	66	55	)	)	PUNCT
bracis-19032	66	56	is	be	AUX
bracis-19032	66	57	a	a	DET
bracis-19032	66	58	random	random	ADJ
bracis-19032	66	59	number	number	NOUN
bracis-19032	66	60	from	from	ADP
bracis-19032	66	61	a	a	DET
bracis-19032	66	62	standard	standard	ADJ
bracis-19032	66	63	gaussian	gaussian	ADJ
bracis-19032	66	64	distribution	distribution	NOUN
bracis-19032	66	65	and	and	CCONJ
bracis-19032	66	66	\(f_{\mathbf	\(f_{\mathbf	NOUN
bracis-19032	66	67	{	{	PUNCT
bracis-19032	66	68	x},t}^{j}\	x},t}^{j}\	X
bracis-19032	66	69	)	)	PUNCT
bracis-19032	66	70	is	be	AUX
bracis-19032	66	71	the	the	DET
bracis-19032	66	72	value	value	NOUN
bracis-19032	66	73	in	in	ADP
bracis-19032	66	74	the	the	DET
bracis-19032	66	75	tth	tth	NOUN
bracis-19032	66	76	position	position	NOUN
bracis-19032	66	77	of	of	ADP
bracis-19032	66	78	\(\mathbf	\(\mathbf	PROPN
bracis-19032	66	79	{	{	PUNCT
bracis-19032	66	80	x}\)th	x}\)th	PROPN
bracis-19032	66	81	centroid	centroid	PROPN
bracis-19032	66	82	.	.	PUNCT
bracis-19032	67	1	survivor	survivor	NOUN
bracis-19032	67	2	selection	selection	NOUN
bracis-19032	67	3	is	be	AUX
bracis-19032	67	4	based	base	VERB
bracis-19032	67	5	on	on	ADP
bracis-19032	67	6	elitism	elitism	NOUN
bracis-19032	67	7	,	,	PUNCT
bracis-19032	67	8	where	where	SCONJ
bracis-19032	67	9	the	the	DET
bracis-19032	67	10	parents	parent	NOUN
bracis-19032	67	11	\(\mathbf	\(\mathbf	VERB
bracis-19032	67	12	{	{	PUNCT
bracis-19032	67	13	i}^{(t)}_p\	i}^{(t)}_p\	PROPN
bracis-19032	67	14	)	)	PUNCT
bracis-19032	67	15	and	and	CCONJ
bracis-19032	67	16	offspring	offspring	NOUN
bracis-19032	67	17	\(\mathbf	\(\mathbf	VERB
bracis-19032	67	18	{	{	PUNCT
bracis-19032	67	19	i}^{(t)}_c\	i}^{(t)}_c\	NOUN
bracis-19032	67	20	)	)	PUNCT
bracis-19032	67	21	are	be	AUX
bracis-19032	67	22	concatenated	concatenate	VERB
bracis-19032	67	23	into	into	ADP
bracis-19032	67	24	\(\mathbf	\(\mathbf	VERB
bracis-19032	67	25	{	{	PUNCT
bracis-19032	67	26	i}^{(t+1)}_p	i}^{(t+1)}_p	PROPN
bracis-19032	67	27	=	=	SYM
bracis-19032	67	28	\mathbf	\mathbf	PROPN
bracis-19032	67	29	{	{	PUNCT
bracis-19032	67	30	i}^{(t)}_p	i}^{(t)}_p	NOUN
bracis-19032	67	31	\cup	\cup	VERB
bracis-19032	67	32	\mathbf	\mathbf	PROPN
bracis-19032	67	33	{	{	PUNCT
bracis-19032	67	34	i}^{(t)}_c\	i}^{(t)}_c\	NOUN
bracis-19032	67	35	)	)	PUNCT
bracis-19032	67	36	,	,	PUNCT
bracis-19032	67	37	which	which	PRON
bracis-19032	67	38	is	be	AUX
bracis-19032	67	39	then	then	ADV
bracis-19032	67	40	sorted	sort	VERB
bracis-19032	67	41	according	accord	VERB
bracis-19032	67	42	to	to	ADP
bracis-19032	67	43	a	a	DET
bracis-19032	67	44	fitness	fitness	NOUN
bracis-19032	67	45	measure	measure	NOUN
bracis-19032	67	46	based	base	VERB
bracis-19032	67	47	on	on	ADP
bracis-19032	67	48	pareto	pareto	ADJ
bracis-19032	67	49	front	front	NOUN
bracis-19032	67	50	and	and	CCONJ
bracis-19032	67	51	crowding	crowd	VERB
bracis-19032	67	52	distance	distance	NOUN
bracis-19032	67	53	.	.	PUNCT
bracis-19032	68	1	the	the	DET
bracis-19032	68	2	new	new	ADJ
bracis-19032	68	3	population	population	NOUN
bracis-19032	68	4	\(\mathbf	\(\mathbf	VERB
bracis-19032	68	5	{	{	PUNCT
bracis-19032	68	6	p}(t+1)\	p}(t+1)\	X
bracis-19032	68	7	)	)	PUNCT
bracis-19032	68	8	is	be	AUX
bracis-19032	68	9	composed	compose	VERB
bracis-19032	68	10	by	by	ADP
bracis-19032	68	11	the	the	DET
bracis-19032	68	12	\(|\mathbf	\(|\mathbf	PROPN
bracis-19032	68	13	{	{	PUNCT
bracis-19032	68	14	p}|\	p}|\	NOUN
bracis-19032	68	15	)	)	PUNCT
bracis-19032	68	16	best	good	ADJ
bracis-19032	68	17	individuals	individual	NOUN
bracis-19032	68	18	[	[	X
bracis-19032	68	19	8	8	NUM
bracis-19032	68	20	]	]	PUNCT
bracis-19032	68	21	.	.	PUNCT
bracis-19032	69	1	parent	parent	NOUN
bracis-19032	69	2	selection	selection	NOUN
bracis-19032	69	3	,	,	PUNCT
bracis-19032	69	4	recombination	recombination	NOUN
bracis-19032	69	5	,	,	PUNCT
bracis-19032	69	6	mutation	mutation	NOUN
bracis-19032	69	7	,	,	PUNCT
bracis-19032	69	8	and	and	CCONJ
bracis-19032	69	9	survivor	survivor	NOUN
bracis-19032	69	10	selection	selection	NOUN
bracis-19032	69	11	are	be	AUX
bracis-19032	69	12	repeated	repeat	VERB
bracis-19032	69	13	until	until	SCONJ
bracis-19032	69	14	a	a	DET
bracis-19032	69	15	maximum	maximum	ADJ
bracis-19032	69	16	number	number	NOUN
bracis-19032	69	17	of	of	ADP
bracis-19032	69	18	iterations	iteration	NOUN
bracis-19032	69	19	is	be	AUX
bracis-19032	69	20	reached	reach	VERB
bracis-19032	69	21	and/or	and/or	CCONJ
bracis-19032	69	22	the	the	DET
bracis-19032	69	23	difference	difference	NOUN
bracis-19032	69	24	of	of	ADP
bracis-19032	69	25	the	the	DET
bracis-19032	69	26	current	current	ADJ
bracis-19032	69	27	solution	solution	NOUN
bracis-19032	69	28	against	against	ADP
bracis-19032	69	29	the	the	DET
bracis-19032	69	30	last	last	ADJ
bracis-19032	69	31	one	one	NOUN
bracis-19032	69	32	is	be	AUX
bracis-19032	69	33	smaller	small	ADJ
bracis-19032	69	34	than	than	ADP
bracis-19032	69	35	a	a	DET
bracis-19032	69	36	given	give	VERB
bracis-19032	69	37	threshold	threshold	NOUN
bracis-19032	69	38	\(\epsilon	\(\epsilon	NOUN
bracis-19032	69	39	\	\	NOUN
bracis-19032	69	40	)	)	PUNCT
bracis-19032	69	41	.	.	PUNCT
bracis-19032	70	1	as	as	SCONJ
bracis-19032	70	2	mentioned	mention	VERB
bracis-19032	70	3	,	,	PUNCT
bracis-19032	70	4	the	the	DET
bracis-19032	70	5	ch	ch	NOUN
bracis-19032	70	6	algorithm	algorithm	NOUN
bracis-19032	70	7	is	be	AUX
bracis-19032	70	8	used	use	VERB
bracis-19032	70	9	to	to	PART
bracis-19032	70	10	regularize	regularize	VERB
bracis-19032	70	11	the	the	DET
bracis-19032	70	12	number	number	NOUN
bracis-19032	70	13	of	of	ADP
bracis-19032	70	14	clusters	cluster	NOUN
bracis-19032	70	15	encoded	encode	VERB
bracis-19032	70	16	in	in	ADP
bracis-19032	70	17	the	the	DET
bracis-19032	70	18	individuals	individual	NOUN
bracis-19032	70	19	.	.	PUNCT
bracis-19032	71	1	it	it	PRON
bracis-19032	71	2	is	be	AUX
bracis-19032	71	3	executed	execute	VERB
bracis-19032	71	4	in	in	ADP
bracis-19032	71	5	each	each	DET
bracis-19032	71	6	individual	individual	NOUN
bracis-19032	71	7	prior	prior	ADV
bracis-19032	71	8	to	to	ADP
bracis-19032	71	9	their	their	PRON
bracis-19032	71	10	evaluation	evaluation	NOUN
bracis-19032	71	11	by	by	ADP
bracis-19032	71	12	determining	determine	VERB
bracis-19032	71	13	the	the	DET
bracis-19032	71	14	regions	region	NOUN
bracis-19032	71	15	that	that	PRON
bracis-19032	71	16	limit	limit	VERB
bracis-19032	71	17	each	each	DET
bracis-19032	71	18	cluster	cluster	NOUN
bracis-19032	71	19	in	in	ADP
bracis-19032	71	20	three	three	NUM
bracis-19032	71	21	steps	step	NOUN
bracis-19032	71	22	:	:	PUNCT
bracis-19032	71	23	1	1	X
bracis-19032	71	24	.	.	X
bracis-19032	71	25	for	for	ADP
bracis-19032	71	26	each	each	DET
bracis-19032	71	27	cluster	cluster	NOUN
bracis-19032	71	28	,	,	PUNCT
bracis-19032	71	29	its	its	PRON
bracis-19032	71	30	centroid	centroid	NOUN
bracis-19032	71	31	is	be	AUX
bracis-19032	71	32	dislocated	dislocate	VERB
bracis-19032	71	33	to	to	ADP
bracis-19032	71	34	the	the	DET
bracis-19032	71	35	mean	mean	NOUN
bracis-19032	71	36	of	of	ADP
bracis-19032	71	37	its	its	PRON
bracis-19032	71	38	data	data	NOUN
bracis-19032	71	39	points	point	NOUN
bracis-19032	71	40	.	.	PUNCT
bracis-19032	72	1	2	2	X
bracis-19032	72	2	.	.	X
bracis-19032	72	3	each	each	DET
bracis-19032	72	4	centroid	centroid	NOUN
bracis-19032	72	5	is	be	AUX
bracis-19032	72	6	the	the	DET
bracis-19032	72	7	center	center	NOUN
bracis-19032	72	8	of	of	ADP
bracis-19032	72	9	a	a	DET
bracis-19032	72	10	hypersphere	hypersphere	NOUN
bracis-19032	72	11	whose	whose	DET
bracis-19032	72	12	radius	radius	NOUN
bracis-19032	72	13	will	will	AUX
bracis-19032	72	14	increase	increase	VERB
bracis-19032	72	15	while	while	SCONJ
bracis-19032	72	16	the	the	DET
bracis-19032	72	17	difference	difference	NOUN
bracis-19032	72	18	of	of	ADP
bracis-19032	72	19	density	density	NOUN
bracis-19032	72	20	between	between	ADP
bracis-19032	72	21	two	two	NUM
bracis-19032	72	22	consecutive	consecutive	ADJ
bracis-19032	72	23	inflations	inflation	NOUN
bracis-19032	72	24	is	be	AUX
bracis-19032	72	25	positive	positive	ADJ
bracis-19032	72	26	.	.	PUNCT
bracis-19032	73	1	3	3	X
bracis-19032	73	2	.	.	X
bracis-19032	73	3	if	if	SCONJ
bracis-19032	73	4	more	more	ADJ
bracis-19032	73	5	than	than	ADP
bracis-19032	73	6	one	one	NUM
bracis-19032	73	7	centroid	centroid	NOUN
bracis-19032	73	8	is	be	AUX
bracis-19032	73	9	found	find	VERB
bracis-19032	73	10	inside	inside	ADP
bracis-19032	73	11	a	a	DET
bracis-19032	73	12	hypersphere	hypersphere	NOUN
bracis-19032	73	13	,	,	PUNCT
bracis-19032	73	14	they	they	PRON
bracis-19032	73	15	are	be	AUX
bracis-19032	73	16	agglutinated	agglutinate	VERB
bracis-19032	73	17	into	into	ADP
bracis-19032	73	18	a	a	DET
bracis-19032	73	19	centroid	centroid	NOUN
bracis-19032	73	20	located	locate	VERB
bracis-19032	73	21	at	at	ADP
bracis-19032	73	22	their	their	PRON
bracis-19032	73	23	mean	mean	ADJ
bracis-19032	73	24	point	point	NOUN
bracis-19032	73	25	.	.	PUNCT
bracis-19032	74	1	3	3	NUM
bracis-19032	74	2	a	a	DET
bracis-19032	74	3	new	new	ADJ
bracis-19032	74	4	objective	objective	ADJ
bracis-19032	74	5	function	function	NOUN
bracis-19032	74	6	3.1	3.1	NUM
bracis-19032	74	7	basic	basic	ADJ
bracis-19032	74	8	notations	notation	NOUN
bracis-19032	74	9	and	and	CCONJ
bracis-19032	74	10	definitions	definition	NOUN
bracis-19032	74	11	the	the	DET
bracis-19032	74	12	objective	objective	NOUN
bracis-19032	74	13	of	of	ADP
bracis-19032	74	14	clustering	clustering	NOUN
bracis-19032	74	15	is	be	AUX
bracis-19032	74	16	to	to	PART
bracis-19032	74	17	find	find	VERB
bracis-19032	74	18	out	out	ADP
bracis-19032	74	19	the	the	DET
bracis-19032	74	20	best	good	ADJ
bracis-19032	74	21	way	way	NOUN
bracis-19032	74	22	to	to	PART
bracis-19032	74	23	split	split	VERB
bracis-19032	74	24	a	a	DET
bracis-19032	74	25	given	give	VERB
bracis-19032	74	26	data	datum	NOUN
bracis-19032	74	27	set	set	VERB
bracis-19032	74	28	\(\mathcal	\(\mathcal	ADJ
bracis-19032	74	29	{	{	PUNCT
bracis-19032	74	30	x	x	ADJ
bracis-19032	74	31	}	}	PUNCT
bracis-19032	74	32	\in	\in	ADJ
bracis-19032	74	33	\mathbb	\mathbb	PROPN
bracis-19032	74	34	{	{	PUNCT
bracis-19032	74	35	r}^{n	r}^{n	PROPN
bracis-19032	74	36	\times	\times	ADP
bracis-19032	74	37	m}\	m}\	PROPN
bracis-19032	74	38	)	)	PUNCT
bracis-19032	74	39	,	,	PUNCT
bracis-19032	74	40	with	with	ADP
bracis-19032	74	41	n	n	CCONJ
bracis-19032	74	42	input	input	NOUN
bracis-19032	74	43	vectors	vector	NOUN
bracis-19032	74	44	in	in	ADP
bracis-19032	74	45	an	an	DET
bracis-19032	74	46	m	m	ADJ
bracis-19032	74	47	-	-	ADJ
bracis-19032	74	48	dimensional	dimensional	ADJ
bracis-19032	74	49	real	real	ADV
bracis-19032	74	50	-	-	PUNCT
bracis-19032	74	51	valued	value	VERB
bracis-19032	74	52	feature	feature	NOUN
bracis-19032	74	53	space	space	NOUN
bracis-19032	74	54	,	,	PUNCT
bracis-19032	74	55	into	into	ADP
bracis-19032	74	56	k	k	PROPN
bracis-19032	74	57	mutually	mutually	ADV
bracis-19032	74	58	disjoint	disjoint	NOUN
bracis-19032	74	59	subsets	subset	NOUN
bracis-19032	74	60	(	(	PUNCT
bracis-19032	74	61	\(k	\(k	NOUN
bracis-19032	74	62	\le	\le	NOUN
bracis-19032	74	63	n\	n\	NOUN
bracis-19032	74	64	)	)	PUNCT
bracis-19032	74	65	)	)	PUNCT
bracis-19032	74	66	.	.	PUNCT
bracis-19032	75	1	assume	assume	VERB
bracis-19032	75	2	the	the	DET
bracis-19032	75	3	vectors	vector	NOUN
bracis-19032	75	4	in	in	ADP
bracis-19032	75	5	\(\mathcal	\(\mathcal	ADJ
bracis-19032	75	6	{	{	PUNCT
bracis-19032	75	7	x}\	x}\	PROPN
bracis-19032	75	8	)	)	PUNCT
bracis-19032	75	9	have	have	VERB
bracis-19032	75	10	hard	hard	ADJ
bracis-19032	75	11	labels	label	NOUN
bracis-19032	75	12	marking	mark	VERB
bracis-19032	75	13	them	they	PRON
bracis-19032	75	14	as	as	ADP
bracis-19032	75	15	members	member	NOUN
bracis-19032	75	16	of	of	ADP
bracis-19032	75	17	one	one	NUM
bracis-19032	75	18	cluster	cluster	NOUN
bracis-19032	75	19	.	.	PUNCT
bracis-19032	76	1	a	a	DET
bracis-19032	76	2	set	set	NOUN
bracis-19032	76	3	of	of	ADP
bracis-19032	76	4	prototypes	prototype	NOUN
bracis-19032	76	5	\(\vartheta	\(\vartheta	ADJ
bracis-19032	76	6	\	\	PROPN
bracis-19032	76	7	)	)	PUNCT
bracis-19032	76	8	is	be	AUX
bracis-19032	76	9	described	describe	VERB
bracis-19032	76	10	as	as	ADP
bracis-19032	76	11	a	a	DET
bracis-19032	76	12	function	function	NOUN
bracis-19032	76	13	of	of	ADP
bracis-19032	76	14	\(\mathcal	\(\mathcal	ADJ
bracis-19032	76	15	{	{	PUNCT
bracis-19032	76	16	x}\	x}\	PROPN
bracis-19032	76	17	)	)	PUNCT
bracis-19032	76	18	and	and	CCONJ
bracis-19032	76	19	k	k	NOUN
bracis-19032	76	20	as	as	ADP
bracis-19032	76	21	$	$	SYM
bracis-19032	76	22	$	$	SYM
bracis-19032	76	23	\begin{aligned	\begin{aligne	VERB
bracis-19032	76	24	}	}	PUNCT
bracis-19032	76	25	\vartheta	\vartheta	PROPN
bracis-19032	76	26	\in	\in	PROPN
bracis-19032	76	27	\mathbb	\mathbb	PROPN
bracis-19032	76	28	{	{	PUNCT
bracis-19032	76	29	r}^{k	r}^{k	VERB
bracis-19032	76	30	\times	\time	VERB
bracis-19032	76	31	m	m	NOUN
bracis-19032	76	32	}	}	PUNCT
bracis-19032	76	33	=	=	PUNCT
bracis-19032	76	34	\vartheta	\vartheta	PROPN
bracis-19032	76	35	(	(	PUNCT
bracis-19032	76	36	\mathcal	\mathcal	PROPN
bracis-19032	76	37	{	{	PUNCT
bracis-19032	76	38	x	x	NOUN
bracis-19032	76	39	}	}	PUNCT
bracis-19032	76	40	)	)	PUNCT
bracis-19032	76	41	,	,	PUNCT
bracis-19032	76	42	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	76	43	(	(	PUNCT
bracis-19032	76	44	4	4	NUM
bracis-19032	76	45	)	)	PUNCT
bracis-19032	76	46	whereupon	whereupon	ADV
bracis-19032	76	47	\(\vartheta	\(\vartheta	ADJ
bracis-19032	76	48	\	\	NOUN
bracis-19032	76	49	)	)	PUNCT
bracis-19032	76	50	contains	contain	VERB
bracis-19032	76	51	k	k	PROPN
bracis-19032	76	52	representative	representative	ADJ
bracis-19032	76	53	vectors	vector	NOUN
bracis-19032	76	54	.	.	PUNCT
bracis-19032	77	1	let	let	VERB
bracis-19032	77	2	the	the	DET
bracis-19032	77	3	hard	hard	ADJ
bracis-19032	77	4	label	label	NOUN
bracis-19032	77	5	for	for	ADP
bracis-19032	77	6	cluster	cluster	NOUN
bracis-19032	77	7	\(\kappa	\(\kappa	NOUN
bracis-19032	77	8	\	\	PROPN
bracis-19032	77	9	)	)	PUNCT
bracis-19032	77	10	be	be	VERB
bracis-19032	77	11	the	the	DET
bracis-19032	77	12	prototypes	prototype	NOUN
bracis-19032	77	13	are	be	AUX
bracis-19032	77	14	computed	compute	VERB
bracis-19032	77	15	whereby	whereby	SCONJ
bracis-19032	77	16	n	n	NUM
bracis-19032	77	17	label	label	NOUN
bracis-19032	77	18	vectors	vector	NOUN
bracis-19032	77	19	are	be	AUX
bracis-19032	77	20	organized	organize	VERB
bracis-19032	77	21	into	into	ADP
bracis-19032	77	22	a	a	DET
bracis-19032	77	23	partition	partition	NOUN
bracis-19032	77	24	over	over	ADP
bracis-19032	77	25	the	the	DET
bracis-19032	77	26	vectors	vector	NOUN
bracis-19032	77	27	in	in	ADP
bracis-19032	77	28	\(\mathcal	\(\mathcal	ADJ
bracis-19032	77	29	{	{	PUNCT
bracis-19032	77	30	x}\	x}\	PROPN
bracis-19032	77	31	)	)	PUNCT
bracis-19032	77	32	such	such	ADJ
bracis-19032	77	33	that	that	SCONJ
bracis-19032	77	34	$	$	SYM
bracis-19032	77	35	$	$	SYM
bracis-19032	77	36	\begin{aligned	\begin{aligne	VERB
bracis-19032	77	37	}	}	PUNCT
bracis-19032	77	38	u	u	NOUN
bracis-19032	77	39	\in	\in	PROPN
bracis-19032	77	40	\mathbb	\mathbb	PROPN
bracis-19032	77	41	{	{	PUNCT
bracis-19032	77	42	z}^{n	z}^{n	PROPN
bracis-19032	77	43	\times	\time	NOUN
bracis-19032	77	44	m	m	NOUN
bracis-19032	77	45	}	}	PUNCT
bracis-19032	77	46	=	=	PUNCT
bracis-19032	77	47	u(\mathcal	u(\mathcal	ADJ
bracis-19032	77	48	{	{	PUNCT
bracis-19032	77	49	x	x	NOUN
bracis-19032	77	50	}	}	PUNCT
bracis-19032	77	51	)	)	PUNCT
bracis-19032	77	52	,	,	PUNCT
bracis-19032	77	53	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	77	54	(	(	PUNCT
bracis-19032	77	55	5	5	NUM
bracis-19032	77	56	)	)	PUNCT
bracis-19032	77	57	subject	subject	NOUN
bracis-19032	77	58	to	to	ADP
bracis-19032	77	59	$	$	SYM
bracis-19032	77	60	$	$	SYM
bracis-19032	77	61	\begin{aligned	\begin{aligne	VERB
bracis-19032	77	62	}	}	PUNCT
bracis-19032	77	63	u	u	NOUN
bracis-19032	77	64	=	=	SYM
bracis-19032	77	65	\left	\left	PROPN
bracis-19032	77	66	[	[	PUNCT
bracis-19032	77	67	\mu	\mu	PROPN
bracis-19032	77	68	_	_	PROPN
bracis-19032	77	69	{	{	PUNCT
bracis-19032	77	70	i	i	PRON
bracis-19032	77	71	\kappa	\kappa	VERB
bracis-19032	77	72	}	}	PUNCT
bracis-19032	77	73	\right	\right	PROPN
bracis-19032	77	74	]	]	X
bracis-19032	77	75	_	_	NOUN
bracis-19032	77	76	{	{	PUNCT
bracis-19032	77	77	n	n	ADP
bracis-19032	77	78	\times	\times	ADP
bracis-19032	77	79	k	k	ADJ
bracis-19032	77	80	}	}	PUNCT
bracis-19032	77	81	\in	\in	PROPN
bracis-19032	77	82	\{0,1\	\{0,1\	NOUN
bracis-19032	77	83	}	}	PUNCT
bracis-19032	77	84	,	,	PUNCT
bracis-19032	77	85	\quad	\quad	PROPN
bracis-19032	77	86	i	i	NOUN
bracis-19032	77	87	=	=	SYM
bracis-19032	77	88	1,\dots	1,\dot	NOUN
bracis-19032	77	89	,	,	PUNCT
bracis-19032	77	90	n	n	CCONJ
bracis-19032	77	91	,	,	PUNCT
bracis-19032	77	92	\end{aligned}$$	\end{aligned}$$	VERB
bracis-19032	77	93	where	where	SCONJ
bracis-19032	77	94	\(\mu	\(\mu	PROPN
bracis-19032	77	95	_	_	NOUN
bracis-19032	78	1	i	i	PRON
bracis-19032	78	2	=	=	PUNCT
bracis-19032	79	1	y_\kappa	y_\kappa	PROPN
bracis-19032	79	2	\leftrightarrow	\leftrightarrow	NOUN
bracis-19032	79	3	x_i\	x_i\	NOUN
bracis-19032	79	4	)	)	PUNCT
bracis-19032	79	5	is	be	AUX
bracis-19032	79	6	in	in	ADP
bracis-19032	79	7	cluster	cluster	NOUN
bracis-19032	79	8	\(\kappa	\(\kappa	NOUN
bracis-19032	79	9	\	\	PROPN
bracis-19032	79	10	)	)	PUNCT
bracis-19032	79	11	.	.	PUNCT
bracis-19032	80	1	put	put	VERB
bracis-19032	80	2	another	another	DET
bracis-19032	80	3	way	way	NOUN
bracis-19032	80	4	,	,	PUNCT
bracis-19032	80	5	the	the	DET
bracis-19032	80	6	membership	membership	NOUN
bracis-19032	80	7	of	of	ADP
bracis-19032	80	8	\(x_i\	\(x_i\	NOUN
bracis-19032	80	9	)	)	PUNCT
bracis-19032	80	10	to	to	PART
bracis-19032	80	11	cluster	cluster	VERB
bracis-19032	80	12	\(\kappa	\(\kappa	NOUN
bracis-19032	80	13	\	\	PROPN
bracis-19032	80	14	)	)	PUNCT
bracis-19032	80	15	,	,	PUNCT
bracis-19032	80	16	\(\mu	\(\mu	PROPN
bracis-19032	80	17	_	_	PUNCT
bracis-19032	80	18	{	{	PUNCT
bracis-19032	80	19	i	i	PRON
bracis-19032	80	20	\kappa	\kappa	PROPN
bracis-19032	80	21	}	}	PUNCT
bracis-19032	80	22	\	\	NOUN
bracis-19032	80	23	)	)	PUNCT
bracis-19032	80	24	,	,	PUNCT
bracis-19032	80	25	is	be	AUX
bracis-19032	80	26	either	either	DET
bracis-19032	80	27	1	1	NUM
bracis-19032	80	28	if	if	SCONJ
bracis-19032	80	29	the	the	DET
bracis-19032	80	30	ith	ith	ADJ
bracis-19032	80	31	object	object	NOUN
bracis-19032	80	32	belongs	belong	VERB
bracis-19032	80	33	to	to	ADP
bracis-19032	80	34	the	the	DET
bracis-19032	80	35	\(\kappa	\(\kappa	NOUN
bracis-19032	80	36	\)th	\)th	PROPN
bracis-19032	80	37	cluster	cluster	NOUN
bracis-19032	80	38	,	,	PUNCT
bracis-19032	80	39	or	or	CCONJ
bracis-19032	80	40	0	0	NUM
bracis-19032	80	41	otherwise	otherwise	ADV
bracis-19032	80	42	.	.	PUNCT
bracis-19032	81	1	accordingly	accordingly	ADV
bracis-19032	81	2	,	,	PUNCT
bracis-19032	81	3	\(\mu	\(\mu	PROPN
bracis-19032	81	4	_	_	PUNCT
bracis-19032	81	5	{	{	PUNCT
bracis-19032	81	6	i	i	PRON
bracis-19032	81	7	\kappa	\kappa	VERB
bracis-19032	81	8	}	}	PUNCT
bracis-19032	81	9	=	=	SYM
bracis-19032	81	10	1\	1\	NUM
bracis-19032	81	11	)	)	PUNCT
bracis-19032	81	12	for	for	ADP
bracis-19032	81	13	one	one	NUM
bracis-19032	81	14	value	value	NOUN
bracis-19032	81	15	of	of	ADP
bracis-19032	81	16	\(\kappa	\(\kappa	PROPN
bracis-19032	81	17	\	\	NOUN
bracis-19032	81	18	)	)	PUNCT
bracis-19032	82	1	only	only	ADV
bracis-19032	82	2	,	,	PUNCT
bracis-19032	82	3	such	such	ADJ
bracis-19032	82	4	that	that	SCONJ
bracis-19032	82	5	[	[	X
bracis-19032	82	6	41	41	NUM
bracis-19032	82	7	]	]	PUNCT
bracis-19032	82	8	the	the	DET
bracis-19032	82	9	resulting	result	VERB
bracis-19032	82	10	grouping	grouping	NOUN
bracis-19032	82	11	in	in	ADP
bracis-19032	82	12	this	this	DET
bracis-19032	82	13	structure	structure	NOUN
bracis-19032	82	14	is	be	AUX
bracis-19032	82	15	hard	hard	ADJ
bracis-19032	82	16	[	[	X
bracis-19032	82	17	24	24	NUM
bracis-19032	82	18	]	]	PUNCT
bracis-19032	82	19	,	,	PUNCT
bracis-19032	82	20	since	since	SCONJ
bracis-19032	82	21	one	one	NUM
bracis-19032	82	22	object	object	NOUN
bracis-19032	82	23	belonging	belong	VERB
bracis-19032	82	24	to	to	ADP
bracis-19032	82	25	one	one	NUM
bracis-19032	82	26	cluster	cluster	NOUN
bracis-19032	82	27	can	can	AUX
bracis-19032	82	28	not	not	PART
bracis-19032	82	29	simultaneously	simultaneously	ADV
bracis-19032	82	30	belong	belong	VERB
bracis-19032	82	31	to	to	ADP
bracis-19032	82	32	another	another	PRON
bracis-19032	82	33	.	.	PUNCT
bracis-19032	83	1	in	in	ADP
bracis-19032	83	2	general	general	ADJ
bracis-19032	83	3	,	,	PUNCT
bracis-19032	83	4	data	datum	NOUN
bracis-19032	83	5	clustering	clustering	NOUN
bracis-19032	83	6	involves	involve	VERB
bracis-19032	83	7	finding	find	VERB
bracis-19032	83	8	\(\{u,\vartheta	\(\{u,\vartheta	ADJ
bracis-19032	83	9	\}\	\}\	NOUN
bracis-19032	83	10	)	)	PUNCT
bracis-19032	83	11	to	to	PART
bracis-19032	83	12	partition	partition	VERB
bracis-19032	83	13	\(\mathcal	\(\mathcal	ADJ
bracis-19032	83	14	{	{	PUNCT
bracis-19032	83	15	x}\	x}\	PROPN
bracis-19032	83	16	)	)	PUNCT
bracis-19032	83	17	somehow	somehow	ADV
bracis-19032	83	18	.	.	PUNCT
bracis-19032	84	1	for	for	ADP
bracis-19032	84	2	a	a	DET
bracis-19032	84	3	given	give	VERB
bracis-19032	84	4	initial	initial	ADJ
bracis-19032	84	5	\(\vartheta	\(\vartheta	ADJ
bracis-19032	84	6	\	\	NOUN
bracis-19032	84	7	)	)	PUNCT
bracis-19032	84	8	,	,	PUNCT
bracis-19032	84	9	the	the	DET
bracis-19032	84	10	optimal	optimal	ADJ
bracis-19032	84	11	set	set	NOUN
bracis-19032	84	12	of	of	ADP
bracis-19032	84	13	prototypes	prototype	NOUN
bracis-19032	84	14	can	can	AUX
bracis-19032	84	15	be	be	AUX
bracis-19032	84	16	represented	represent	VERB
bracis-19032	84	17	by	by	ADP
bracis-19032	84	18	centroids	centroid	NOUN
bracis-19032	84	19	,	,	PUNCT
bracis-19032	84	20	medians	median	NOUN
bracis-19032	84	21	,	,	PUNCT
bracis-19032	84	22	medoids	medoid	NOUN
bracis-19032	84	23	,	,	PUNCT
bracis-19032	84	24	and	and	CCONJ
bracis-19032	84	25	others	other	NOUN
bracis-19032	84	26	,	,	PUNCT
bracis-19032	84	27	in	in	ADP
bracis-19032	84	28	which	which	PRON
bracis-19032	84	29	the	the	DET
bracis-19032	84	30	optimized	optimize	VERB
bracis-19032	84	31	partition	partition	NOUN
bracis-19032	84	32	u	u	NOUN
bracis-19032	84	33	is	be	AUX
bracis-19032	84	34	obtained	obtain	VERB
bracis-19032	84	35	by	by	ADP
bracis-19032	84	36	assigning	assign	VERB
bracis-19032	84	37	each	each	DET
bracis-19032	84	38	input	input	NOUN
bracis-19032	84	39	vector	vector	NOUN
bracis-19032	84	40	to	to	ADP
bracis-19032	84	41	the	the	DET
bracis-19032	84	42	cluster	cluster	NOUN
bracis-19032	84	43	with	with	ADP
bracis-19032	84	44	the	the	DET
bracis-19032	84	45	nearest	near	ADJ
bracis-19032	84	46	prototype	prototype	NOUN
bracis-19032	84	47	.	.	PUNCT
bracis-19032	85	1	both	both	PRON
bracis-19032	85	2	u	u	NOUN
bracis-19032	85	3	and	and	CCONJ
bracis-19032	85	4	\(\vartheta	\(\vartheta	ADJ
bracis-19032	85	5	\	\	NOUN
bracis-19032	85	6	)	)	PUNCT
bracis-19032	85	7	comprise	comprise	VERB
bracis-19032	85	8	a	a	DET
bracis-19032	85	9	dual	dual	ADJ
bracis-19032	85	10	structure	structure	NOUN
bracis-19032	85	11	(	(	PUNCT
bracis-19032	85	12	if	if	SCONJ
bracis-19032	85	13	one	one	NUM
bracis-19032	85	14	of	of	ADP
bracis-19032	85	15	them	they	PRON
bracis-19032	85	16	is	be	AUX
bracis-19032	85	17	known	know	VERB
bracis-19032	85	18	,	,	PUNCT
bracis-19032	85	19	the	the	DET
bracis-19032	85	20	other	other	ADJ
bracis-19032	85	21	one	one	NOUN
bracis-19032	85	22	will	will	AUX
bracis-19032	85	23	also	also	ADV
bracis-19032	85	24	be	be	AUX
bracis-19032	85	25	)	)	PUNCT
bracis-19032	85	26	named	name	VERB
bracis-19032	85	27	clustering	cluster	VERB
bracis-19032	85	28	solution	solution	NOUN
bracis-19032	85	29	.	.	PUNCT
bracis-19032	86	1	3.2	3.2	NUM
bracis-19032	86	2	cluster	cluster	NOUN
bracis-19032	86	3	validation	validation	NOUN
bracis-19032	86	4	most	most	ADJ
bracis-19032	86	5	researchers	researcher	NOUN
bracis-19032	86	6	have	have	VERB
bracis-19032	86	7	some	some	DET
bracis-19032	86	8	theoretical	theoretical	ADJ
bracis-19032	86	9	difficulty	difficulty	NOUN
bracis-19032	86	10	in	in	ADP
bracis-19032	86	11	describing	describe	VERB
bracis-19032	86	12	what	what	PRON
bracis-19032	86	13	a	a	DET
bracis-19032	86	14	cluster	cluster	NOUN
bracis-19032	86	15	is	be	AUX
bracis-19032	86	16	without	without	ADP
bracis-19032	86	17	assuming	assume	VERB
bracis-19032	86	18	an	an	DET
bracis-19032	86	19	induction	induction	NOUN
bracis-19032	86	20	principle	principle	NOUN
bracis-19032	86	21	(	(	PUNCT
bracis-19032	86	22	i.e.	i.e.	X
bracis-19032	86	23	,	,	PUNCT
bracis-19032	86	24	a	a	DET
bracis-19032	86	25	criterion	criterion	NOUN
bracis-19032	86	26	)	)	PUNCT
bracis-19032	87	1	[	[	X
bracis-19032	87	2	21	21	NUM
bracis-19032	87	3	]	]	PUNCT
bracis-19032	87	4	.	.	PUNCT
bracis-19032	88	1	a	a	DET
bracis-19032	88	2	classic	classic	ADJ
bracis-19032	88	3	definition	definition	NOUN
bracis-19032	88	4	for	for	ADP
bracis-19032	88	5	them	they	PRON
bracis-19032	88	6	is	be	AUX
bracis-19032	88	7	:	:	PUNCT
bracis-19032	88	8	“	"	PUNCT
bracis-19032	88	9	objects	object	NOUN
bracis-19032	88	10	are	be	AUX
bracis-19032	88	11	grouped	group	VERB
bracis-19032	88	12	based	base	VERB
bracis-19032	88	13	on	on	ADP
bracis-19032	88	14	the	the	DET
bracis-19032	88	15	principle	principle	NOUN
bracis-19032	88	16	of	of	ADP
bracis-19032	88	17	maximizing	maximize	VERB
bracis-19032	88	18	intra	intra	ADJ
bracis-19032	88	19	-	-	ADJ
bracis-19032	88	20	class	class	ADJ
bracis-19032	88	21	similarity	similarity	NOUN
bracis-19032	88	22	and	and	CCONJ
bracis-19032	88	23	minimizing	minimize	VERB
bracis-19032	88	24	inter	inter	ADJ
bracis-19032	88	25	-	-	ADJ
bracis-19032	88	26	class	class	ADJ
bracis-19032	88	27	similarity	similarity	NOUN
bracis-19032	88	28	”	"	PUNCT
bracis-19032	88	29	.	.	PUNCT
bracis-19032	89	1	another	another	DET
bracis-19032	89	2	cluster	cluster	NOUN
bracis-19032	89	3	definition	definition	NOUN
bracis-19032	89	4	involving	involve	VERB
bracis-19032	89	5	density	density	NOUN
bracis-19032	89	6	defines	define	VERB
bracis-19032	89	7	it	it	PRON
bracis-19032	89	8	as	as	ADP
bracis-19032	89	9	a	a	DET
bracis-19032	89	10	connected	connect	VERB
bracis-19032	89	11	,	,	PUNCT
bracis-19032	89	12	dense	dense	ADJ
bracis-19032	89	13	component	component	NOUN
bracis-19032	89	14	such	such	ADJ
bracis-19032	89	15	that	that	DET
bracis-19032	89	16	high	high	ADJ
bracis-19032	89	17	-	-	PUNCT
bracis-19032	89	18	density	density	NOUN
bracis-19032	89	19	regions	region	NOUN
bracis-19032	89	20	are	be	AUX
bracis-19032	89	21	separated	separate	VERB
bracis-19032	89	22	by	by	ADP
bracis-19032	89	23	low	low	ADJ
bracis-19032	89	24	-	-	PUNCT
bracis-19032	89	25	density	density	NOUN
bracis-19032	89	26	ones	one	NOUN
bracis-19032	89	27	[	[	X
bracis-19032	89	28	1	1	NUM
bracis-19032	89	29	,	,	PUNCT
bracis-19032	89	30	19	19	NUM
bracis-19032	89	31	]	]	PUNCT
bracis-19032	89	32	.	.	PUNCT
bracis-19032	90	1	in	in	ADP
bracis-19032	90	2	clustering	clustering	ADJ
bracis-19032	90	3	algorithms	algorithm	NOUN
bracis-19032	90	4	,	,	PUNCT
bracis-19032	90	5	k	k	PROPN
bracis-19032	90	6	is	be	AUX
bracis-19032	90	7	usually	usually	ADV
bracis-19032	90	8	assumed	assume	VERB
bracis-19032	90	9	to	to	PART
bracis-19032	90	10	be	be	AUX
bracis-19032	90	11	unknown	unknown	ADJ
bracis-19032	90	12	.	.	PUNCT
bracis-19032	91	1	since	since	SCONJ
bracis-19032	91	2	clustering	cluster	VERB
bracis-19032	91	3	is	be	AUX
bracis-19032	91	4	an	an	DET
bracis-19032	91	5	unsupervised	unsupervised	ADJ
bracis-19032	91	6	learning	learning	NOUN
bracis-19032	91	7	procedure	procedure	NOUN
bracis-19032	91	8	(	(	PUNCT
bracis-19032	91	9	i.e.	i.e.	X
bracis-19032	91	10	,	,	PUNCT
bracis-19032	91	11	there	there	PRON
bracis-19032	91	12	is	be	VERB
bracis-19032	91	13	no	no	DET
bracis-19032	91	14	prior	prior	ADJ
bracis-19032	91	15	knowledge	knowledge	NOUN
bracis-19032	91	16	on	on	ADP
bracis-19032	91	17	data	datum	NOUN
bracis-19032	91	18	distribution	distribution	NOUN
bracis-19032	91	19	)	)	PUNCT
bracis-19032	91	20	,	,	PUNCT
bracis-19032	91	21	the	the	DET
bracis-19032	91	22	significance	significance	NOUN
bracis-19032	91	23	of	of	ADP
bracis-19032	91	24	the	the	DET
bracis-19032	91	25	defined	define	VERB
bracis-19032	91	26	clusters	cluster	NOUN
bracis-19032	91	27	must	must	AUX
bracis-19032	91	28	be	be	AUX
bracis-19032	91	29	validated	validate	VERB
bracis-19032	91	30	for	for	ADP
bracis-19032	91	31	the	the	DET
bracis-19032	91	32	data	datum	NOUN
bracis-19032	91	33	[	[	X
bracis-19032	91	34	33	33	NUM
bracis-19032	91	35	]	]	PUNCT
bracis-19032	91	36	.	.	PUNCT
bracis-19032	92	1	therefore	therefore	ADV
bracis-19032	92	2	,	,	PUNCT
bracis-19032	92	3	one	one	NUM
bracis-19032	92	4	of	of	ADP
bracis-19032	92	5	the	the	DET
bracis-19032	92	6	most	most	ADV
bracis-19032	92	7	challenging	challenging	ADJ
bracis-19032	92	8	aspects	aspect	NOUN
bracis-19032	92	9	of	of	ADP
bracis-19032	92	10	clustering	clustering	NOUN
bracis-19032	92	11	is	be	AUX
bracis-19032	92	12	the	the	DET
bracis-19032	92	13	quantitative	quantitative	ADJ
bracis-19032	92	14	examination	examination	NOUN
bracis-19032	92	15	of	of	ADP
bracis-19032	92	16	clustering	clustering	ADJ
bracis-19032	92	17	results	result	NOUN
bracis-19032	92	18	[	[	X
bracis-19032	92	19	31	31	NUM
bracis-19032	92	20	]	]	PUNCT
bracis-19032	92	21	.	.	PUNCT
bracis-19032	93	1	this	this	DET
bracis-19032	93	2	procedure	procedure	NOUN
bracis-19032	93	3	is	be	AUX
bracis-19032	93	4	performed	perform	VERB
bracis-19032	93	5	by	by	ADP
bracis-19032	93	6	cluster	cluster	NOUN
bracis-19032	93	7	validity	validity	NOUN
bracis-19032	93	8	indices	index	NOUN
bracis-19032	93	9	(	(	PUNCT
bracis-19032	93	10	cvis	cvis	PROPN
bracis-19032	93	11	)	)	PUNCT
bracis-19032	93	12	,	,	PUNCT
bracis-19032	93	13	sometimes	sometimes	ADV
bracis-19032	93	14	called	call	VERB
bracis-19032	93	15	criteria	criterion	NOUN
bracis-19032	93	16	,	,	PUNCT
bracis-19032	93	17	which	which	PRON
bracis-19032	93	18	also	also	ADV
bracis-19032	93	19	targets	target	VERB
bracis-19032	93	20	hard	hard	ADJ
bracis-19032	93	21	problems	problem	NOUN
bracis-19032	93	22	such	such	ADJ
bracis-19032	93	23	as	as	ADP
bracis-19032	93	24	cluster	cluster	NOUN
bracis-19032	93	25	quality	quality	NOUN
bracis-19032	93	26	assessment	assessment	NOUN
bracis-19032	93	27	and	and	CCONJ
bracis-19032	93	28	the	the	DET
bracis-19032	93	29	degree	degree	NOUN
bracis-19032	93	30	wherewith	wherewith	ADP
bracis-19032	93	31	a	a	DET
bracis-19032	93	32	clustering	cluster	VERB
bracis-19032	93	33	scheme	scheme	NOUN
bracis-19032	93	34	fits	fit	VERB
bracis-19032	93	35	into	into	ADP
bracis-19032	93	36	a	a	DET
bracis-19032	93	37	specific	specific	ADJ
bracis-19032	93	38	data	data	NOUN
bracis-19032	93	39	set	set	VERB
bracis-19032	93	40	.	.	PUNCT
bracis-19032	94	1	the	the	DET
bracis-19032	94	2	most	most	ADV
bracis-19032	94	3	common	common	ADJ
bracis-19032	94	4	application	application	NOUN
bracis-19032	94	5	of	of	ADP
bracis-19032	94	6	cvis	cvis	NOUN
bracis-19032	94	7	is	be	AUX
bracis-19032	94	8	to	to	ADP
bracis-19032	94	9	fine	fine	ADJ
bracis-19032	94	10	-	-	PUNCT
bracis-19032	94	11	tune	tune	NOUN
bracis-19032	94	12	k.	k.	NOUN
bracis-19032	94	13	given	give	VERB
bracis-19032	94	14	\(\mathcal	\(\mathcal	ADJ
bracis-19032	94	15	{	{	PUNCT
bracis-19032	94	16	x}\	x}\	PROPN
bracis-19032	94	17	)	)	PUNCT
bracis-19032	94	18	,	,	PUNCT
bracis-19032	94	19	a	a	DET
bracis-19032	94	20	specific	specific	ADJ
bracis-19032	94	21	clustering	clustering	ADJ
bracis-19032	94	22	algorithm	algorithm	NOUN
bracis-19032	94	23	and	and	CCONJ
bracis-19032	94	24	a	a	DET
bracis-19032	94	25	range	range	NOUN
bracis-19032	94	26	of	of	ADP
bracis-19032	94	27	values	value	NOUN
bracis-19032	94	28	of	of	ADP
bracis-19032	94	29	k	k	NOUN
bracis-19032	94	30	,	,	PUNCT
bracis-19032	94	31	these	these	DET
bracis-19032	94	32	steps	step	NOUN
bracis-19032	94	33	are	be	AUX
bracis-19032	94	34	executed	execute	VERB
bracis-19032	94	35	[	[	PUNCT
bracis-19032	94	36	10	10	NUM
bracis-19032	94	37	,	,	PUNCT
bracis-19032	94	38	43	43	NUM
bracis-19032	94	39	]	]	SYM
bracis-19032	94	40	:	:	PUNCT
bracis-19032	94	41	1	1	X
bracis-19032	94	42	.	.	X
bracis-19032	94	43	successively	successively	ADV
bracis-19032	94	44	repeat	repeat	VERB
bracis-19032	94	45	a	a	DET
bracis-19032	94	46	clustering	clustering	ADJ
bracis-19032	94	47	algorithm	algorithm	NOUN
bracis-19032	94	48	according	accord	VERB
bracis-19032	94	49	to	to	ADP
bracis-19032	94	50	a	a	DET
bracis-19032	94	51	number	number	NOUN
bracis-19032	94	52	of	of	ADP
bracis-19032	94	53	clusters	cluster	NOUN
bracis-19032	94	54	from	from	ADP
bracis-19032	94	55	a	a	DET
bracis-19032	94	56	fixed	fix	VERB
bracis-19032	94	57	range	range	NOUN
bracis-19032	94	58	of	of	ADP
bracis-19032	94	59	values	value	NOUN
bracis-19032	94	60	defined	define	VERB
bracis-19032	94	61	a	a	DET
bracis-19032	94	62	priori	priori	ADV
bracis-19032	94	63	:	:	PUNCT
bracis-19032	94	64	\(k	\(k	NOUN
bracis-19032	94	65	\in	\in	ADJ
bracis-19032	94	66	[	[	X
bracis-19032	94	67	k_{min},k_{max}]\	k_{min},k_{max}]\	NOUN
bracis-19032	94	68	)	)	PUNCT
bracis-19032	94	69	;	;	PUNCT
bracis-19032	94	70	2	2	X
bracis-19032	94	71	.	.	X
bracis-19032	94	72	obtain	obtain	VERB
bracis-19032	94	73	the	the	DET
bracis-19032	94	74	clustering	clustering	ADJ
bracis-19032	94	75	result	result	NOUN
bracis-19032	94	76	\(\{u,\vartheta	\(\{u,\vartheta	VERB
bracis-19032	94	77	\}\	\}\	NOUN
bracis-19032	94	78	)	)	PUNCT
bracis-19032	94	79	for	for	ADP
bracis-19032	94	80	each	each	DET
bracis-19032	94	81	k	k	PROPN
bracis-19032	94	82	in	in	ADP
bracis-19032	94	83	the	the	DET
bracis-19032	94	84	range	range	NOUN
bracis-19032	94	85	;	;	PUNCT
bracis-19032	94	86	3	3	X
bracis-19032	94	87	.	.	X
bracis-19032	94	88	calculate	calculate	VERB
bracis-19032	94	89	the	the	DET
bracis-19032	94	90	validity	validity	NOUN
bracis-19032	94	91	index	index	NOUN
bracis-19032	94	92	score	score	NOUN
bracis-19032	94	93	for	for	ADP
bracis-19032	94	94	all	all	DET
bracis-19032	94	95	solutions	solution	NOUN
bracis-19032	94	96	;	;	PUNCT
bracis-19032	94	97	and	and	CCONJ
bracis-19032	94	98	4	4	X
bracis-19032	94	99	.	.	NOUN
bracis-19032	94	100	select	select	ADJ
bracis-19032	94	101	\(k_{opt}\	\(k_{opt}\	PROPN
bracis-19032	94	102	)	)	PUNCT
bracis-19032	94	103	for	for	ADP
bracis-19032	94	104	which	which	PRON
bracis-19032	94	105	data	datum	NOUN
bracis-19032	94	106	partitioning	partitioning	NOUN
bracis-19032	94	107	provides	provide	VERB
bracis-19032	94	108	the	the	DET
bracis-19032	94	109	best	good	ADJ
bracis-19032	94	110	clustering	clustering	ADJ
bracis-19032	94	111	result	result	NOUN
bracis-19032	94	112	.	.	PUNCT
bracis-19032	95	1	cvis	cvis	PROPN
bracis-19032	95	2	are	be	AUX
bracis-19032	95	3	considered	consider	VERB
bracis-19032	95	4	to	to	PART
bracis-19032	95	5	be	be	AUX
bracis-19032	95	6	independent	independent	ADJ
bracis-19032	95	7	of	of	ADP
bracis-19032	95	8	the	the	DET
bracis-19032	95	9	clustering	cluster	VERB
bracis-19032	95	10	algorithms	algorithm	NOUN
bracis-19032	95	11	used	use	VERB
bracis-19032	95	12	[	[	X
bracis-19032	95	13	40	40	NUM
bracis-19032	95	14	]	]	PUNCT
bracis-19032	95	15	and	and	CCONJ
bracis-19032	95	16	usually	usually	ADV
bracis-19032	95	17	fall	fall	VERB
bracis-19032	95	18	into	into	ADP
bracis-19032	95	19	one	one	NUM
bracis-19032	95	20	of	of	ADP
bracis-19032	95	21	two	two	NUM
bracis-19032	95	22	categories	category	NOUN
bracis-19032	95	23	:	:	PUNCT
bracis-19032	95	24	internal	internal	ADJ
bracis-19032	95	25	and	and	CCONJ
bracis-19032	95	26	external	external	ADJ
bracis-19032	95	27	[	[	X
bracis-19032	95	28	27	27	NUM
bracis-19032	95	29	,	,	PUNCT
bracis-19032	95	30	32	32	NUM
bracis-19032	95	31	]	]	PUNCT
bracis-19032	95	32	.	.	PUNCT
bracis-19032	96	1	internal	internal	ADJ
bracis-19032	96	2	validation	validation	NOUN
bracis-19032	96	3	does	do	AUX
bracis-19032	96	4	not	not	PART
bracis-19032	96	5	require	require	VERB
bracis-19032	96	6	knowledge	knowledge	NOUN
bracis-19032	96	7	about	about	ADP
bracis-19032	96	8	the	the	DET
bracis-19032	96	9	problem	problem	NOUN
bracis-19032	96	10	for	for	ADP
bracis-19032	96	11	it	it	PRON
bracis-19032	96	12	only	only	ADV
bracis-19032	96	13	uses	use	VERB
bracis-19032	96	14	information	information	NOUN
bracis-19032	96	15	intrinsic	intrinsic	ADJ
bracis-19032	96	16	to	to	ADP
bracis-19032	96	17	the	the	DET
bracis-19032	96	18	data	datum	NOUN
bracis-19032	96	19	;	;	PUNCT
bracis-19032	96	20	hence	hence	ADV
bracis-19032	96	21	,	,	PUNCT
bracis-19032	96	22	it	it	PRON
bracis-19032	96	23	has	have	VERB
bracis-19032	96	24	a	a	DET
bracis-19032	96	25	practical	practical	ADJ
bracis-19032	96	26	appeal	appeal	NOUN
bracis-19032	96	27	.	.	PUNCT
bracis-19032	97	1	conversely	conversely	ADV
bracis-19032	97	2	,	,	PUNCT
bracis-19032	97	3	external	external	ADJ
bracis-19032	97	4	validation	validation	NOUN
bracis-19032	97	5	is	be	AUX
bracis-19032	97	6	more	more	ADV
bracis-19032	97	7	accurate	accurate	ADJ
bracis-19032	97	8	,	,	PUNCT
bracis-19032	97	9	but	but	CCONJ
bracis-19032	97	10	not	not	PART
bracis-19032	97	11	always	always	ADV
bracis-19032	97	12	feasible	feasible	ADJ
bracis-19032	97	13	[	[	PUNCT
bracis-19032	97	14	32	32	NUM
bracis-19032	97	15	]	]	PUNCT
bracis-19032	97	16	.	.	PUNCT
bracis-19032	98	1	knowing	know	VERB
bracis-19032	98	2	this	this	PRON
bracis-19032	98	3	,	,	PUNCT
bracis-19032	98	4	it	it	PRON
bracis-19032	98	5	can	can	AUX
bracis-19032	98	6	be	be	AUX
bracis-19032	98	7	evaluated	evaluate	VERB
bracis-19032	98	8	how	how	SCONJ
bracis-19032	98	9	well	well	ADV
bracis-19032	98	10	the	the	DET
bracis-19032	98	11	achieved	achieve	VERB
bracis-19032	98	12	solution	solution	NOUN
bracis-19032	98	13	approaches	approach	VERB
bracis-19032	98	14	a	a	DET
bracis-19032	98	15	predefined	predefine	VERB
bracis-19032	98	16	structure	structure	NOUN
bracis-19032	98	17	based	base	VERB
bracis-19032	98	18	on	on	ADP
bracis-19032	98	19	previous	previous	ADJ
bracis-19032	98	20	and	and	CCONJ
bracis-19032	98	21	intuitive	intuitive	ADJ
bracis-19032	98	22	understanding	understanding	NOUN
bracis-19032	98	23	regarding	regard	VERB
bracis-19032	98	24	natural	natural	ADJ
bracis-19032	98	25	clusters	cluster	NOUN
bracis-19032	98	26	.	.	PUNCT
bracis-19032	99	1	3.3	3.3	NUM
bracis-19032	99	2	mutual	mutual	ADJ
bracis-19032	99	3	equidistant	equidistant	ADV
bracis-19032	99	4	-	-	PUNCT
bracis-19032	99	5	scattering	scatter	VERB
bracis-19032	99	6	criterion	criterion	NOUN
bracis-19032	99	7	this	this	DET
bracis-19032	99	8	work	work	NOUN
bracis-19032	99	9	proposes	propose	VERB
bracis-19032	99	10	the	the	DET
bracis-19032	99	11	replacement	replacement	NOUN
bracis-19032	99	12	of	of	ADP
bracis-19032	99	13	the	the	DET
bracis-19032	99	14	objective	objective	ADJ
bracis-19032	99	15	function	function	NOUN
bracis-19032	99	16	of	of	ADP
bracis-19032	99	17	gadba	gadba	NOUN
bracis-19032	99	18	with	with	ADP
bracis-19032	99	19	a	a	DET
bracis-19032	99	20	cvi	cvi	NOUN
bracis-19032	99	21	called	call	VERB
bracis-19032	99	22	mec	mec	PROPN
bracis-19032	100	1	[	[	X
bracis-19032	100	2	12	12	NUM
bracis-19032	100	3	]	]	PUNCT
bracis-19032	100	4	.	.	PUNCT
bracis-19032	101	1	mec	mec	PROPN
bracis-19032	101	2	is	be	AUX
bracis-19032	101	3	a	a	DET
bracis-19032	101	4	non	non	ADJ
bracis-19032	101	5	-	-	ADJ
bracis-19032	101	6	parametric	parametric	ADJ
bracis-19032	101	7	,	,	PUNCT
bracis-19032	101	8	internal	internal	ADJ
bracis-19032	101	9	validation	validation	NOUN
bracis-19032	101	10	index	index	NOUN
bracis-19032	101	11	for	for	ADP
bracis-19032	101	12	crisp	crisp	ADJ
bracis-19032	101	13	clustering	clustering	NOUN
bracis-19032	101	14	.	.	PUNCT
bracis-19032	102	1	an	an	DET
bracis-19032	102	2	immediate	immediate	ADJ
bracis-19032	102	3	benefit	benefit	NOUN
bracis-19032	102	4	of	of	ADP
bracis-19032	102	5	mec	mec	PROPN
bracis-19032	102	6	is	be	AUX
bracis-19032	102	7	the	the	DET
bracis-19032	102	8	absence	absence	NOUN
bracis-19032	102	9	of	of	ADP
bracis-19032	102	10	fine	fine	ADV
bracis-19032	102	11	-	-	PUNCT
bracis-19032	102	12	tuning	tune	VERB
bracis-19032	102	13	hyper	hyper	NOUN
bracis-19032	102	14	-	-	NOUN
bracis-19032	102	15	parameters	parameter	NOUN
bracis-19032	102	16	,	,	PUNCT
bracis-19032	102	17	thus	thus	ADV
bracis-19032	102	18	mitigating	mitigate	VERB
bracis-19032	102	19	the	the	DET
bracis-19032	102	20	user	user	NOUN
bracis-19032	102	21	’s	’s	PART
bracis-19032	102	22	effort	effort	NOUN
bracis-19032	102	23	in	in	ADP
bracis-19032	102	24	operational	operational	ADJ
bracis-19032	102	25	terms	term	NOUN
bracis-19032	102	26	and	and	CCONJ
bracis-19032	102	27	enabling	enable	VERB
bracis-19032	102	28	the	the	DET
bracis-19032	102	29	use	use	NOUN
bracis-19032	102	30	of	of	ADP
bracis-19032	102	31	gadba	gadba	NOUN
bracis-19032	102	32	to	to	PART
bracis-19032	102	33	cluster	cluster	VERB
bracis-19032	102	34	real	real	ADJ
bracis-19032	102	35	-	-	PUNCT
bracis-19032	102	36	world	world	NOUN
bracis-19032	102	37	data	datum	NOUN
bracis-19032	102	38	whose	whose	DET
bracis-19032	102	39	structure	structure	NOUN
bracis-19032	102	40	is	be	AUX
bracis-19032	102	41	unknown	unknown	ADJ
bracis-19032	102	42	.	.	PUNCT
bracis-19032	103	1	mec	mec	PROPN
bracis-19032	103	2	assumes	assume	VERB
bracis-19032	103	3	that	that	SCONJ
bracis-19032	103	4	“	"	PUNCT
bracis-19032	103	5	objects	object	VERB
bracis-19032	103	6	belonging	belong	VERB
bracis-19032	103	7	to	to	ADP
bracis-19032	103	8	the	the	DET
bracis-19032	103	9	same	same	ADJ
bracis-19032	103	10	data	data	NOUN
bracis-19032	103	11	cluster	cluster	NOUN
bracis-19032	103	12	will	will	AUX
bracis-19032	103	13	tend	tend	VERB
bracis-19032	103	14	to	to	PART
bracis-19032	103	15	be	be	AUX
bracis-19032	103	16	more	more	ADV
bracis-19032	103	17	equidistantly	equidistantly	ADV
bracis-19032	103	18	scattered	scatter	VERB
bracis-19032	103	19	among	among	ADP
bracis-19032	103	20	themselves	themselves	PRON
bracis-19032	103	21	compared	compare	VERB
bracis-19032	103	22	to	to	ADP
bracis-19032	103	23	data	datum	NOUN
bracis-19032	103	24	points	point	NOUN
bracis-19032	103	25	of	of	ADP
bracis-19032	103	26	distinct	distinct	ADJ
bracis-19032	103	27	clusters	cluster	NOUN
bracis-19032	103	28	”	"	PUNCT
bracis-19032	104	1	[	[	X
bracis-19032	104	2	12	12	NUM
bracis-19032	104	3	]	]	PUNCT
bracis-19032	104	4	.	.	PUNCT
bracis-19032	105	1	as	as	ADP
bracis-19032	105	2	such	such	ADJ
bracis-19032	105	3	,	,	PUNCT
bracis-19032	105	4	the	the	DET
bracis-19032	105	5	mean	mean	ADJ
bracis-19032	105	6	absolute	absolute	ADJ
bracis-19032	105	7	difference	difference	NOUN
bracis-19032	105	8	\(\mathcal	\(\mathcal	ADJ
bracis-19032	105	9	{	{	PUNCT
bracis-19032	105	10	m}_\kappa	m}_\kappa	NOUN
bracis-19032	105	11	\	\	NOUN
bracis-19032	105	12	)	)	PUNCT
bracis-19032	105	13	is	be	AUX
bracis-19032	105	14	applied	apply	VERB
bracis-19032	105	15	using	use	VERB
bracis-19032	105	16	multi	multi	ADJ
bracis-19032	105	17	-	-	ADJ
bracis-19032	105	18	representative	representative	ADJ
bracis-19032	105	19	data	datum	NOUN
bracis-19032	105	20	in	in	ADP
bracis-19032	105	21	every	every	DET
bracis-19032	105	22	clustering	clustering	ADJ
bracis-19032	105	23	solution	solution	NOUN
bracis-19032	105	24	\(\{u,\vartheta	\(\{u,\vartheta	VERB
bracis-19032	105	25	\}\	\}\	NOUN
bracis-19032	105	26	)	)	PUNCT
bracis-19032	105	27	obtained	obtain	VERB
bracis-19032	105	28	from	from	ADP
bracis-19032	105	29	a	a	DET
bracis-19032	105	30	pre	pre	ADJ
bracis-19032	105	31	-	-	ADJ
bracis-19032	105	32	determined	determined	ADJ
bracis-19032	105	33	k.	k.	PROPN
bracis-19032	105	34	mec	mec	PROPN
bracis-19032	105	35	is	be	AUX
bracis-19032	105	36	weighted	weight	VERB
bracis-19032	105	37	by	by	ADP
bracis-19032	105	38	a	a	DET
bracis-19032	105	39	penalty	penalty	NOUN
bracis-19032	105	40	of	of	ADP
bracis-19032	105	41	local	local	ADJ
bracis-19032	105	42	restrictive	restrictive	ADJ
bracis-19032	105	43	nature	nature	NOUN
bracis-19032	105	44	to	to	ADP
bracis-19032	105	45	each	each	DET
bracis-19032	105	46	cluster	cluster	NOUN
bracis-19032	105	47	\(\kappa	\(\kappa	NOUN
bracis-19032	105	48	\	\	PROPN
bracis-19032	105	49	)	)	PUNCT
bracis-19032	105	50	as	as	ADV
bracis-19032	105	51	well	well	ADV
bracis-19032	105	52	,	,	PUNCT
bracis-19032	105	53	while	while	SCONJ
bracis-19032	105	54	a	a	DET
bracis-19032	105	55	global	global	ADJ
bracis-19032	105	56	penalty	penalty	NOUN
bracis-19032	105	57	is	be	AUX
bracis-19032	105	58	then	then	ADV
bracis-19032	105	59	applied	apply	VERB
bracis-19032	105	60	a	a	DET
bracis-19032	105	61	posteriori	posteriori	NOUN
bracis-19032	105	62	.	.	PUNCT
bracis-19032	106	1	such	such	ADJ
bracis-19032	106	2	penalties	penalty	NOUN
bracis-19032	106	3	are	be	AUX
bracis-19032	106	4	a	a	DET
bracis-19032	106	5	measure	measure	NOUN
bracis-19032	106	6	of	of	ADP
bracis-19032	106	7	intra	intra	ADJ
bracis-19032	106	8	-	-	ADJ
bracis-19032	106	9	cluster	cluster	NOUN
bracis-19032	106	10	homogeneity	homogeneity	NOUN
bracis-19032	106	11	and	and	CCONJ
bracis-19032	106	12	inter	inter	ADJ
bracis-19032	106	13	-	-	ADJ
bracis-19032	106	14	cluster	cluster	NOUN
bracis-19032	106	15	separation	separation	NOUN
bracis-19032	106	16	.	.	PUNCT
bracis-19032	107	1	mathematical	mathematical	ADJ
bracis-19032	107	2	formulations	formulation	NOUN
bracis-19032	107	3	.	.	PUNCT
bracis-19032	108	1	the	the	DET
bracis-19032	108	2	mean	mean	ADJ
bracis-19032	108	3	absolute	absolute	ADJ
bracis-19032	108	4	difference	difference	NOUN
bracis-19032	108	5	is	be	AUX
bracis-19032	108	6	calculated	calculate	VERB
bracis-19032	108	7	between	between	ADP
bracis-19032	108	8	any	any	DET
bracis-19032	108	9	possible	possible	ADJ
bracis-19032	108	10	pair	pair	NOUN
bracis-19032	108	11	of	of	ADP
bracis-19032	108	12	intra	intra	ADJ
bracis-19032	108	13	-	-	ADJ
bracis-19032	108	14	cluster	cluster	NOUN
bracis-19032	108	15	dissimilarities	dissimilarity	NOUN
bracis-19032	108	16	(	(	PUNCT
bracis-19032	108	17	6	6	NUM
bracis-19032	108	18	)	)	PUNCT
bracis-19032	108	19	where	where	SCONJ
bracis-19032	108	20	\(n_\kappa	\(n_\kappa	PROPN
bracis-19032	108	21	\	\	PROPN
bracis-19032	108	22	)	)	PUNCT
bracis-19032	108	23	objects	object	NOUN
bracis-19032	108	24	within	within	ADP
bracis-19032	108	25	the	the	DET
bracis-19032	108	26	cluster	cluster	NOUN
bracis-19032	108	27	are	be	AUX
bracis-19032	108	28	considered	consider	VERB
bracis-19032	108	29	as	as	ADP
bracis-19032	108	30	representative	representative	ADJ
bracis-19032	108	31	data	datum	NOUN
bracis-19032	108	32	in	in	ADP
bracis-19032	108	33	formulation	formulation	NOUN
bracis-19032	108	34	(	(	PUNCT
bracis-19032	108	35	thereby	thereby	ADV
bracis-19032	108	36	multi	multi	ADJ
bracis-19032	108	37	-	-	NOUN
bracis-19032	108	38	representative	representative	ADJ
bracis-19032	108	39	)	)	PUNCT
bracis-19032	108	40	.	.	PUNCT
bracis-19032	109	1	that	that	PRON
bracis-19032	109	2	is	be	AUX
bracis-19032	109	3	,	,	PUNCT
bracis-19032	109	4	\(d_\kappa	\(d_\kappa	PROPN
bracis-19032	109	5	\	\	PROPN
bracis-19032	109	6	)	)	PUNCT
bracis-19032	110	1	is	be	AUX
bracis-19032	110	2	a	a	DET
bracis-19032	110	3	strictly	strictly	ADV
bracis-19032	110	4	upper	upper	ADJ
bracis-19032	110	5	triangular	triangular	NOUN
bracis-19032	110	6	matrix	matrix	NOUN
bracis-19032	110	7	of	of	ADP
bracis-19032	110	8	order	order	NOUN
bracis-19032	110	9	\(n_\kappa	\(n_\kappa	PROPN
bracis-19032	110	10	\	\	PROPN
bracis-19032	110	11	)	)	PUNCT
bracis-19032	110	12	.	.	PUNCT
bracis-19032	111	1	nevertheless	nevertheless	ADV
bracis-19032	111	2	,	,	PUNCT
bracis-19032	111	3	only	only	ADV
bracis-19032	111	4	the	the	DET
bracis-19032	111	5	pairwise	pairwise	NOUN
bracis-19032	111	6	distances	distance	NOUN
bracis-19032	111	7	matter	matter	NOUN
bracis-19032	111	8	in	in	ADP
bracis-19032	111	9	\(\mathcal	\(\mathcal	ADJ
bracis-19032	111	10	{	{	PUNCT
bracis-19032	111	11	m}_\kappa	m}_\kappa	PROPN
bracis-19032	111	12	\	\	NOUN
bracis-19032	111	13	)	)	PUNCT
bracis-19032	111	14	.	.	PUNCT
bracis-19032	112	1	thus	thus	ADV
bracis-19032	112	2	,	,	PUNCT
bracis-19032	112	3	\(\varupsilon	\(\varupsilon	NOUN
bracis-19032	112	4	(	(	PUNCT
bracis-19032	112	5	\cdot	\cdot	NOUN
bracis-19032	112	6	)	)	PUNCT
bracis-19032	112	7	\	\	NOUN
bracis-19032	112	8	)	)	PUNCT
bracis-19032	112	9	reshapes	reshape	VERB
bracis-19032	112	10	all	all	DET
bracis-19032	112	11	elements	element	NOUN
bracis-19032	112	12	above	above	ADP
bracis-19032	112	13	the	the	DET
bracis-19032	112	14	main	main	ADJ
bracis-19032	112	15	diagonal	diagonal	NOUN
bracis-19032	112	16	of	of	ADP
bracis-19032	112	17	\(d_\kappa	\(d_\kappa	PROPN
bracis-19032	112	18	\	\	PROPN
bracis-19032	112	19	)	)	PUNCT
bracis-19032	112	20	(	(	PUNCT
bracis-19032	112	21	eq	eq	NOUN
bracis-19032	112	22	.	.	PUNCT
bracis-19032	112	23	 	 	SPACE
bracis-19032	112	24	6	6	NUM
bracis-19032	112	25	)	)	PUNCT
bracis-19032	112	26	into	into	ADP
bracis-19032	112	27	a	a	DET
bracis-19032	112	28	column	column	NOUN
bracis-19032	112	29	vector	vector	NOUN
bracis-19032	112	30	$	$	SYM
bracis-19032	112	31	$	$	SYM
bracis-19032	112	32	\begin{aligned	\begin{aligne	VERB
bracis-19032	112	33	}	}	PUNCT
bracis-19032	112	34	\begin{bmatrix	\begin{bmatrix	ADJ
bracis-19032	112	35	}	}	PUNCT
bracis-19032	112	36	d_{1	d_{1	ADJ
bracis-19032	112	37	\kappa	\kappa	PROPN
bracis-19032	112	38	}	}	PUNCT
bracis-19032	112	39	\\	\\	NOUN
bracis-19032	112	40	d_{2	d_{2	ADV
bracis-19032	112	41	\kappa	\kappa	ADP
bracis-19032	112	42	}	}	PUNCT
bracis-19032	112	43	\\	\\	NOUN
bracis-19032	112	44	\vdots	\vdot	NOUN
bracis-19032	112	45	\\	\\	PROPN
bracis-19032	112	46	d_{l_\kappa	d_{l_\kappa	PROPN
bracis-19032	112	47	\kappa	\kappa	PROPN
bracis-19032	112	48	}	}	PUNCT
bracis-19032	112	49	\end{bmatrix	\end{bmatrix	NOUN
bracis-19032	112	50	}	}	PUNCT
bracis-19032	112	51	=	=	SYM
bracis-19032	112	52	\varupsilon	\varupsilon	NOUN
bracis-19032	112	53	(	(	PUNCT
bracis-19032	112	54	d_\kappa	d_\kappa	PROPN
bracis-19032	112	55	)	)	PUNCT
bracis-19032	112	56	,	,	PUNCT
bracis-19032	112	57	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	112	58	(	(	PUNCT
bracis-19032	112	59	7	7	NUM
bracis-19032	112	60	)	)	PUNCT
bracis-19032	112	61	denoted	denote	VERB
bracis-19032	112	62	by	by	ADP
bracis-19032	112	63	\(l_\kappa	\(l_\kappa	PROPN
bracis-19032	112	64	=	=	SYM
bracis-19032	112	65	\frac{n_\kappa	\frac{n_\kappa	PROPN
bracis-19032	112	66	(	(	PUNCT
bracis-19032	112	67	n_\kappa	n_\kappa	PROPN
bracis-19032	112	68	-1)}{2}\	-1)}{2}\	NOUN
bracis-19032	112	69	)	)	PUNCT
bracis-19032	112	70	intra	intra	ADJ
bracis-19032	112	71	-	-	ADJ
bracis-19032	112	72	cluster	cluster	ADJ
bracis-19032	112	73	euclidean	euclidean	ADJ
bracis-19032	112	74	distances	distance	NOUN
bracis-19032	112	75	.	.	PUNCT
bracis-19032	113	1	the	the	DET
bracis-19032	113	2	key	key	ADJ
bracis-19032	113	3	part	part	NOUN
bracis-19032	113	4	of	of	ADP
bracis-19032	113	5	mec	mec	PROPN
bracis-19032	113	6	is	be	AUX
bracis-19032	113	7	then	then	ADV
bracis-19032	113	8	defined	define	VERB
bracis-19032	113	9	in	in	ADP
bracis-19032	113	10	eq	eq	PROPN
bracis-19032	113	11	.	.	PUNCT
bracis-19032	113	12	 	 	SPACE
bracis-19032	113	13	8	8	NUM
bracis-19032	113	14	as	as	ADP
bracis-19032	113	15	(	(	PUNCT
bracis-19032	113	16	8)	8)	NUM
bracis-19032	113	17	where	where	SCONJ
bracis-19032	113	18	\(l_\kappa	\(l_\kappa	PROPN
bracis-19032	113	19	>	>	X
bracis-19032	113	20	1	1	NUM
bracis-19032	113	21	\leftrightarrow	\leftrightarrow	NOUN
bracis-19032	113	22	n_\kappa	n_\kappa	ADP
bracis-19032	113	23	>	>	X
bracis-19032	113	24	2\	2\	PROPN
bracis-19032	113	25	)	)	PUNCT
bracis-19032	113	26	,	,	PUNCT
bracis-19032	113	27	is	be	AUX
bracis-19032	113	28	the	the	DET
bracis-19032	113	29	absolute	absolute	ADJ
bracis-19032	113	30	value	value	NOUN
bracis-19032	113	31	and	and	CCONJ
bracis-19032	113	32	\(\eta	\(\eta	NOUN
bracis-19032	113	33	_	_	X
bracis-19032	113	34	\kappa	\kappa	NOUN
bracis-19032	113	35	=	=	SYM
bracis-19032	113	36	\frac{l_\kappa	\frac{l_\kappa	NOUN
bracis-19032	113	37	(	(	PUNCT
bracis-19032	113	38	l_\kappa	l_\kappa	PROPN
bracis-19032	113	39	-1)}{2}\	-1)}{2}\	PROPN
bracis-19032	113	40	)	)	PUNCT
bracis-19032	113	41	stands	stand	VERB
bracis-19032	113	42	for	for	ADP
bracis-19032	113	43	the	the	DET
bracis-19032	113	44	total	total	ADJ
bracis-19032	113	45	number	number	NOUN
bracis-19032	113	46	of	of	ADP
bracis-19032	113	47	differences	difference	NOUN
bracis-19032	113	48	for	for	ADP
bracis-19032	113	49	a	a	DET
bracis-19032	113	50	single	single	ADJ
bracis-19032	113	51	cluster	cluster	NOUN
bracis-19032	113	52	.	.	PUNCT
bracis-19032	114	1	an	an	DET
bracis-19032	114	2	exponential	exponential	ADJ
bracis-19032	114	3	-	-	PUNCT
bracis-19032	114	4	like	like	ADJ
bracis-19032	114	5	distance	distance	NOUN
bracis-19032	114	6	measure	measure	NOUN
bracis-19032	114	7	provides	provide	VERB
bracis-19032	114	8	a	a	DET
bracis-19032	114	9	robust	robust	ADJ
bracis-19032	114	10	property	property	NOUN
bracis-19032	114	11	based	base	VERB
bracis-19032	114	12	on	on	ADP
bracis-19032	114	13	the	the	DET
bracis-19032	114	14	analysis	analysis	NOUN
bracis-19032	114	15	of	of	ADP
bracis-19032	114	16	the	the	DET
bracis-19032	114	17	influence	influence	NOUN
bracis-19032	114	18	function	function	NOUN
bracis-19032	114	19	[	[	X
bracis-19032	114	20	39	39	NUM
bracis-19032	114	21	]	]	PUNCT
bracis-19032	114	22	.	.	PUNCT
bracis-19032	115	1	[	[	X
bracis-19032	115	2	12	12	NUM
bracis-19032	115	3	]	]	PUNCT
bracis-19032	115	4	empirically	empirically	ADV
bracis-19032	115	5	observed	observe	VERB
bracis-19032	115	6	that	that	SCONJ
bracis-19032	115	7	it	it	PRON
bracis-19032	115	8	works	work	VERB
bracis-19032	115	9	properly	properly	ADV
bracis-19032	115	10	,	,	PUNCT
bracis-19032	115	11	particularly	particularly	ADV
bracis-19032	115	12	when	when	SCONJ
bracis-19032	115	13	we	we	PRON
bracis-19032	115	14	look	look	VERB
bracis-19032	115	15	for	for	ADP
bracis-19032	115	16	\(k_{opt}\	\(k_{opt}\	NOUN
bracis-19032	115	17	)	)	PUNCT
bracis-19032	115	18	within	within	ADP
bracis-19032	115	19	a	a	DET
bracis-19032	115	20	hierarchical	hierarchical	ADJ
bracis-19032	115	21	data	datum	NOUN
bracis-19032	115	22	set	set	VERB
bracis-19032	115	23	.	.	PUNCT
bracis-19032	116	1	therefore	therefore	ADV
bracis-19032	116	2	,	,	PUNCT
bracis-19032	116	3	a	a	DET
bracis-19032	116	4	new	new	ADJ
bracis-19032	116	5	homogeneity	homogeneity	NOUN
bracis-19032	116	6	measure	measure	NOUN
bracis-19032	116	7	\(\varsigma	\(\varsigma	X
bracis-19032	116	8	_	_	PUNCT
bracis-19032	116	9	\kappa	\kappa	PROPN
bracis-19032	116	10	\	\	NOUN
bracis-19032	116	11	)	)	PUNCT
bracis-19032	116	12	of	of	ADP
bracis-19032	116	13	non	non	ADJ
bracis-19032	116	14	-	-	ADJ
bracis-19032	116	15	negative	negative	ADJ
bracis-19032	116	16	exponential	exponential	ADJ
bracis-19032	116	17	type	type	NOUN
bracis-19032	116	18	was	be	AUX
bracis-19032	116	19	modelled	model	VERB
bracis-19032	116	20	as	as	ADP
bracis-19032	116	21	a	a	DET
bracis-19032	116	22	penalty	penalty	NOUN
bracis-19032	116	23	over	over	ADP
bracis-19032	116	24	\(\mathcal	\(\mathcal	ADJ
bracis-19032	116	25	{	{	PUNCT
bracis-19032	116	26	m}_\kappa	m}_\kappa	NOUN
bracis-19032	116	27	\	\	NOUN
bracis-19032	116	28	)	)	PUNCT
bracis-19032	116	29	as	as	ADP
bracis-19032	116	30	(	(	PUNCT
bracis-19032	116	31	9	9	NUM
bracis-19032	116	32	)	)	PUNCT
bracis-19032	116	33	where	where	SCONJ
bracis-19032	116	34	\(\sigma	\(\sigma	NOUN
bracis-19032	116	35	_	_	PRON
bracis-19032	116	36	\kappa	\kappa	NOUN
bracis-19032	116	37	^2\	^2\	NOUN
bracis-19032	116	38	)	)	PUNCT
bracis-19032	116	39	is	be	AUX
bracis-19032	116	40	the	the	DET
bracis-19032	116	41	variance	variance	NOUN
bracis-19032	116	42	of	of	ADP
bracis-19032	116	43	\(d_\kappa	\(d_\kappa	PROPN
bracis-19032	116	44	\	\	PROPN
bracis-19032	116	45	)	)	PUNCT
bracis-19032	116	46	.	.	PUNCT
bracis-19032	117	1	one	one	PRON
bracis-19032	117	2	can	can	AUX
bracis-19032	117	3	observe	observe	VERB
bracis-19032	117	4	that	that	SCONJ
bracis-19032	117	5	the	the	DET
bracis-19032	117	6	homogeneity	homogeneity	NOUN
bracis-19032	117	7	measure	measure	NOUN
bracis-19032	117	8	gets	get	VERB
bracis-19032	117	9	closer	close	ADJ
bracis-19032	117	10	to	to	ADP
bracis-19032	117	11	zero	zero	NUM
bracis-19032	117	12	with	with	ADP
bracis-19032	117	13	the	the	DET
bracis-19032	117	14	approximation	approximation	NOUN
bracis-19032	117	15	of	of	ADP
bracis-19032	117	16	the	the	DET
bracis-19032	117	17	ideal	ideal	ADJ
bracis-19032	117	18	model	model	NOUN
bracis-19032	117	19	solution	solution	NOUN
bracis-19032	117	20	,	,	PUNCT
bracis-19032	117	21	where	where	SCONJ
bracis-19032	117	22	the	the	DET
bracis-19032	117	23	criterion	criterion	NOUN
bracis-19032	117	24	value	value	NOUN
bracis-19032	117	25	is	be	AUX
bracis-19032	117	26	zero	zero	NUM
bracis-19032	117	27	and	and	CCONJ
bracis-19032	117	28	,	,	PUNCT
bracis-19032	117	29	therefore	therefore	ADV
bracis-19032	117	30	,	,	PUNCT
bracis-19032	117	31	the	the	DET
bracis-19032	117	32	loss	loss	NOUN
bracis-19032	117	33	of	of	ADP
bracis-19032	117	34	information	information	NOUN
bracis-19032	117	35	is	be	AUX
bracis-19032	117	36	null	null	ADJ
bracis-19032	117	37	.	.	PUNCT
bracis-19032	118	1	thus	thus	ADV
bracis-19032	118	2	,	,	PUNCT
bracis-19032	118	3	we	we	PRON
bracis-19032	118	4	have	have	VERB
bracis-19032	118	5	mec	mec	PROPN
bracis-19032	118	6	defined	define	VERB
bracis-19032	118	7	as	as	ADP
bracis-19032	118	8	$	$	SYM
bracis-19032	118	9	$	$	SYM
bracis-19032	118	10	\begin{aligned	\begin{aligne	VERB
bracis-19032	118	11	}	}	PUNCT
bracis-19032	118	12	\mathrm	\mathrm	PROPN
bracis-19032	118	13	{	{	PUNCT
bracis-19032	118	14	mec}(k	mec}(k	PROPN
bracis-19032	118	15	)	)	PUNCT
bracis-19032	119	1	=	=	SYM
bracis-19032	119	2	\lambda	\lambda	PROPN
bracis-19032	119	3	\sum	\sum	NOUN
bracis-19032	119	4	_	_	PUNCT
bracis-19032	119	5	{	{	PUNCT
bracis-19032	119	6	\kappa	\kappa	PROPN
bracis-19032	119	7	=	=	NOUN
bracis-19032	119	8	1}^{k	1}^{k	NUM
bracis-19032	119	9	}	}	PUNCT
bracis-19032	119	10	\varsigma	\varsigma	NUM
bracis-19032	120	1	_	_	PUNCT
bracis-19032	120	2	\kappa	\kappa	PUNCT
bracis-19032	120	3	\times	\times	ADP
bracis-19032	120	4	\mathcal	\mathcal	PROPN
bracis-19032	120	5	{	{	PUNCT
bracis-19032	120	6	m}_\kappa	m}_\kappa	PROPN
bracis-19032	120	7	,	,	PUNCT
bracis-19032	120	8	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	120	9	(	(	PUNCT
bracis-19032	120	10	10	10	NUM
bracis-19032	120	11	)	)	PUNCT
bracis-19032	120	12	where	where	SCONJ
bracis-19032	120	13	(	(	PUNCT
bracis-19032	120	14	11	11	NUM
bracis-19032	120	15	)	)	PUNCT
bracis-19032	120	16	the	the	DET
bracis-19032	120	17	measure	measure	NOUN
bracis-19032	120	18	of	of	ADP
bracis-19032	120	19	global	global	ADJ
bracis-19032	120	20	separation	separation	NOUN
bracis-19032	120	21	and	and	CCONJ
bracis-19032	120	22	penalty	penalty	NOUN
bracis-19032	120	23	\(\lambda	\(\lambda	NOUN
bracis-19032	120	24	\	\	NOUN
bracis-19032	120	25	)	)	PUNCT
bracis-19032	120	26	,	,	PUNCT
bracis-19032	120	27	therefore	therefore	ADV
bracis-19032	120	28	,	,	PUNCT
bracis-19032	120	29	does	do	AUX
bracis-19032	120	30	not	not	PART
bracis-19032	120	31	depend	depend	VERB
bracis-19032	120	32	exclusively	exclusively	ADV
bracis-19032	120	33	on	on	ADP
bracis-19032	120	34	the	the	DET
bracis-19032	120	35	\(\kappa	\(\kappa	NOUN
bracis-19032	120	36	\)th	\)th	PROPN
bracis-19032	120	37	cluster	cluster	NOUN
bracis-19032	120	38	,	,	PUNCT
bracis-19032	120	39	but	but	CCONJ
bracis-19032	120	40	on	on	ADP
bracis-19032	120	41	the	the	DET
bracis-19032	120	42	greater	great	ADJ
bracis-19032	120	43	distance	distance	NOUN
bracis-19032	120	44	between	between	ADP
bracis-19032	120	45	the	the	DET
bracis-19032	120	46	pairs	pair	NOUN
bracis-19032	120	47	of	of	ADP
bracis-19032	120	48	representative	representative	ADJ
bracis-19032	120	49	points	point	NOUN
bracis-19032	120	50	of	of	ADP
bracis-19032	120	51	each	each	DET
bracis-19032	120	52	data	datum	NOUN
bracis-19032	120	53	cluster	cluster	NOUN
bracis-19032	120	54	(	(	PUNCT
bracis-19032	120	55	e.g.	e.g.	ADV
bracis-19032	120	56	,	,	PUNCT
bracis-19032	120	57	centroids	centroid	NOUN
bracis-19032	120	58	)	)	PUNCT
bracis-19032	120	59	.	.	PUNCT
bracis-19032	121	1	in	in	ADP
bracis-19032	121	2	a	a	DET
bracis-19032	121	3	few	few	ADJ
bracis-19032	121	4	words	word	NOUN
bracis-19032	121	5	,	,	PUNCT
bracis-19032	121	6	\(\lambda	\(\lambda	NOUN
bracis-19032	121	7	\	\	NOUN
bracis-19032	121	8	)	)	PUNCT
bracis-19032	121	9	globally	globally	ADV
bracis-19032	121	10	weights	weight	VERB
bracis-19032	121	11	the	the	DET
bracis-19032	121	12	result	result	NOUN
bracis-19032	121	13	of	of	ADP
bracis-19032	121	14	the	the	DET
bracis-19032	121	15	solution	solution	NOUN
bracis-19032	121	16	.	.	PUNCT
bracis-19032	122	1	the	the	DET
bracis-19032	122	2	presence	presence	NOUN
bracis-19032	122	3	of	of	ADP
bracis-19032	122	4	k	k	PROPN
bracis-19032	122	5	,	,	PUNCT
bracis-19032	122	6	in	in	ADP
bracis-19032	122	7	eq	eq	ADP
bracis-19032	122	8	.	.	PUNCT
bracis-19032	122	9	 	 	SPACE
bracis-19032	122	10	11	11	NUM
bracis-19032	122	11	,	,	PUNCT
bracis-19032	122	12	is	be	AUX
bracis-19032	122	13	a	a	DET
bracis-19032	122	14	simple	simple	ADJ
bracis-19032	122	15	way	way	NOUN
bracis-19032	122	16	to	to	PART
bracis-19032	122	17	avoid	avoid	VERB
bracis-19032	122	18	overfitting	overfitte	VERB
bracis-19032	122	19	as	as	ADP
bracis-19032	122	20	a	a	DET
bracis-19032	122	21	result	result	NOUN
bracis-19032	122	22	of	of	ADP
bracis-19032	122	23	clustering	clustering	ADJ
bracis-19032	122	24	solutions	solution	NOUN
bracis-19032	122	25	already	already	ADV
bracis-19032	122	26	sufficiently	sufficiently	ADV
bracis-19032	122	27	accommodated	accommodate	VERB
bracis-19032	122	28	to	to	ADP
bracis-19032	122	29	the	the	DET
bracis-19032	122	30	data	datum	NOUN
bracis-19032	122	31	.	.	PUNCT
bracis-19032	123	1	in	in	ADP
bracis-19032	123	2	addition	addition	NOUN
bracis-19032	123	3	to	to	ADP
bracis-19032	123	4	avoiding	avoid	VERB
bracis-19032	123	5	overfitting	overfitte	VERB
bracis-19032	123	6	,	,	PUNCT
bracis-19032	123	7	an	an	DET
bracis-19032	123	8	improvement	improvement	NOUN
bracis-19032	123	9	over	over	ADP
bracis-19032	123	10	other	other	ADJ
bracis-19032	123	11	indices	index	NOUN
bracis-19032	123	12	is	be	AUX
bracis-19032	123	13	the	the	DET
bracis-19032	123	14	possibility	possibility	NOUN
bracis-19032	123	15	of	of	ADP
bracis-19032	123	16	evaluating	evaluate	VERB
bracis-19032	123	17	the	the	DET
bracis-19032	123	18	clustering	clustering	ADJ
bracis-19032	123	19	tendency	tendency	NOUN
bracis-19032	123	20	(	(	PUNCT
bracis-19032	123	21	\(k{=}1\	\(k{=}1\	NOUN
bracis-19032	123	22	)	)	PUNCT
bracis-19032	123	23	)	)	PUNCT
bracis-19032	123	24	without	without	ADP
bracis-19032	123	25	resorting	resort	VERB
bracis-19032	123	26	to	to	ADP
bracis-19032	123	27	additional	additional	ADJ
bracis-19032	123	28	,	,	PUNCT
bracis-19032	123	29	external	external	ADJ
bracis-19032	123	30	techniques	technique	NOUN
bracis-19032	123	31	[	[	X
bracis-19032	123	32	43	43	NUM
bracis-19032	123	33	]	]	PUNCT
bracis-19032	123	34	.	.	PUNCT
bracis-19032	124	1	fig	fig	NOUN
bracis-19032	124	2	.	.	PUNCT
bracis-19032	125	1	2	2	X
bracis-19032	125	2	.	.	X
bracis-19032	125	3	mec	mec	PROPN
bracis-19032	125	4	results	result	NOUN
bracis-19032	125	5	for	for	ADP
bracis-19032	125	6	a	a	DET
bracis-19032	125	7	small	small	ADJ
bracis-19032	125	8	set	set	NOUN
bracis-19032	125	9	of	of	ADP
bracis-19032	125	10	twelve	twelve	NUM
bracis-19032	125	11	data	datum	NOUN
bracis-19032	125	12	points	point	NOUN
bracis-19032	125	13	:	:	PUNCT
bracis-19032	125	14	(	(	PUNCT
bracis-19032	125	15	a	a	X
bracis-19032	125	16	)	)	PUNCT
bracis-19032	125	17	\(k	\(k	NOUN
bracis-19032	125	18	=	=	SYM
bracis-19032	125	19	1\	1\	NUM
bracis-19032	125	20	)	)	PUNCT
bracis-19032	125	21	;	;	PUNCT
bracis-19032	125	22	(	(	PUNCT
bracis-19032	125	23	b	b	X
bracis-19032	125	24	)	)	PUNCT
bracis-19032	125	25	\(k	\(k	NOUN
bracis-19032	125	26	=	=	SYM
bracis-19032	125	27	2\	2\	NUM
bracis-19032	125	28	)	)	PUNCT
bracis-19032	125	29	;	;	PUNCT
bracis-19032	125	30	(	(	PUNCT
bracis-19032	125	31	c	c	X
bracis-19032	125	32	)	)	PUNCT
bracis-19032	125	33	\(k	\(k	NOUN
bracis-19032	125	34	=	=	SYM
bracis-19032	125	35	4\	4\	PROPN
bracis-19032	125	36	)	)	PUNCT
bracis-19032	125	37	.	.	PUNCT
bracis-19032	126	1	full	full	ADJ
bracis-19032	126	2	size	size	NOUN
bracis-19032	126	3	image	image	NOUN
bracis-19032	126	4	to	to	PART
bracis-19032	126	5	illustrate	illustrate	VERB
bracis-19032	126	6	,	,	PUNCT
bracis-19032	126	7	fig	fig	NOUN
bracis-19032	126	8	.	.	PUNCT
bracis-19032	126	9	 	 	SPACE
bracis-19032	127	1	2	2	NUM
bracis-19032	127	2	shows	show	VERB
bracis-19032	127	3	the	the	DET
bracis-19032	127	4	mec	mec	PROPN
bracis-19032	127	5	composition	composition	NOUN
bracis-19032	127	6	for	for	ADP
bracis-19032	127	7	three	three	NUM
bracis-19032	127	8	feasible	feasible	ADJ
bracis-19032	127	9	cluster	cluster	NOUN
bracis-19032	127	10	solutions	solution	NOUN
bracis-19032	127	11	,	,	PUNCT
bracis-19032	127	12	where	where	SCONJ
bracis-19032	127	13	each	each	DET
bracis-19032	127	14	dotted	dotted	ADJ
bracis-19032	127	15	line	line	NOUN
bracis-19032	127	16	represents	represent	VERB
bracis-19032	127	17	one	one	NUM
bracis-19032	127	18	measure	measure	NOUN
bracis-19032	127	19	of	of	ADP
bracis-19032	127	20	intra	intra	ADJ
bracis-19032	127	21	-	-	ADJ
bracis-19032	127	22	cluster	cluster	NOUN
bracis-19032	127	23	dissimilarity	dissimilarity	NOUN
bracis-19032	127	24	and	and	CCONJ
bracis-19032	127	25	each	each	DET
bracis-19032	127	26	cluster	cluster	NOUN
bracis-19032	127	27	is	be	AUX
bracis-19032	127	28	depicted	depict	VERB
bracis-19032	127	29	by	by	ADP
bracis-19032	127	30	a	a	DET
bracis-19032	127	31	quadratic	quadratic	ADJ
bracis-19032	127	32	centroid	centroid	NOUN
bracis-19032	127	33	.	.	PUNCT
bracis-19032	128	1	the	the	DET
bracis-19032	128	2	operating	operating	NOUN
bracis-19032	128	3	mechanism	mechanism	NOUN
bracis-19032	128	4	of	of	ADP
bracis-19032	128	5	mec	mec	PROPN
bracis-19032	128	6	,	,	PUNCT
bracis-19032	128	7	which	which	PRON
bracis-19032	128	8	encompasses	encompass	VERB
bracis-19032	128	9	both	both	DET
bracis-19032	128	10	homogeneity	homogeneity	NOUN
bracis-19032	128	11	(	(	PUNCT
bracis-19032	128	12	eq	eq	NOUN
bracis-19032	128	13	.	.	PUNCT
bracis-19032	128	14	 	 	SPACE
bracis-19032	128	15	9	9	NUM
bracis-19032	128	16	)	)	PUNCT
bracis-19032	128	17	and	and	CCONJ
bracis-19032	128	18	separation	separation	NOUN
bracis-19032	128	19	(	(	PUNCT
bracis-19032	128	20	eq	eq	NOUN
bracis-19032	128	21	.	.	PUNCT
bracis-19032	128	22	 	 	SPACE
bracis-19032	128	23	11	11	NUM
bracis-19032	128	24	)	)	PUNCT
bracis-19032	128	25	,	,	PUNCT
bracis-19032	128	26	is	be	AUX
bracis-19032	128	27	visualised	visualise	VERB
bracis-19032	128	28	for	for	ADP
bracis-19032	128	29	\(k	\(k	NOUN
bracis-19032	128	30	=	=	SYM
bracis-19032	128	31	1	1	NUM
bracis-19032	128	32	,	,	PUNCT
bracis-19032	128	33	2	2	NUM
bracis-19032	128	34	,	,	PUNCT
bracis-19032	128	35	4\	4\	NUM
bracis-19032	128	36	)	)	PUNCT
bracis-19032	128	37	(	(	PUNCT
bracis-19032	128	38	figs	fig	NOUN
bracis-19032	128	39	.	.	PUNCT
bracis-19032	128	40	 	 	SPACE
bracis-19032	129	1	2a	2a	NUM
bracis-19032	129	2	,	,	PUNCT
bracis-19032	129	3	2b	2b	NOUN
bracis-19032	129	4	,	,	PUNCT
bracis-19032	129	5	and	and	CCONJ
bracis-19032	129	6	2c	2c	NOUN
bracis-19032	129	7	,	,	PUNCT
bracis-19032	129	8	respectively	respectively	ADV
bracis-19032	129	9	)	)	PUNCT
bracis-19032	129	10	.	.	PUNCT
bracis-19032	130	1	the	the	DET
bracis-19032	130	2	motivation	motivation	NOUN
bracis-19032	130	3	is	be	AUX
bracis-19032	130	4	that	that	SCONJ
bracis-19032	130	5	the	the	DET
bracis-19032	130	6	dissimilarity	dissimilarity	NOUN
bracis-19032	130	7	measures	measure	NOUN
bracis-19032	130	8	should	should	AUX
bracis-19032	130	9	be	be	AUX
bracis-19032	130	10	similar	similar	ADJ
bracis-19032	130	11	to	to	ADP
bracis-19032	130	12	each	each	DET
bracis-19032	130	13	other	other	ADJ
bracis-19032	130	14	when	when	SCONJ
bracis-19032	130	15	looking	look	VERB
bracis-19032	130	16	at	at	ADP
bracis-19032	130	17	each	each	DET
bracis-19032	130	18	cluster	cluster	NOUN
bracis-19032	130	19	.	.	PUNCT
bracis-19032	131	1	in	in	ADP
bracis-19032	131	2	this	this	DET
bracis-19032	131	3	case	case	NOUN
bracis-19032	131	4	,	,	PUNCT
bracis-19032	131	5	fig	fig	NOUN
bracis-19032	131	6	.	.	PUNCT
bracis-19032	131	7	 	 	SPACE
bracis-19032	131	8	2a	2a	PROPN
bracis-19032	131	9	contains	contain	VERB
bracis-19032	131	10	the	the	DET
bracis-19032	131	11	least	least	ADV
bracis-19032	131	12	suitable	suitable	ADJ
bracis-19032	131	13	solution	solution	NOUN
bracis-19032	131	14	among	among	ADP
bracis-19032	131	15	those	those	PRON
bracis-19032	131	16	shown	show	VERB
bracis-19032	131	17	graphically	graphically	ADV
bracis-19032	131	18	,	,	PUNCT
bracis-19032	131	19	as	as	SCONJ
bracis-19032	131	20	their	their	PRON
bracis-19032	131	21	dissimilarity	dissimilarity	NOUN
bracis-19032	131	22	measures	measure	NOUN
bracis-19032	131	23	are	be	AUX
bracis-19032	131	24	more	more	ADV
bracis-19032	131	25	divergent	divergent	ADJ
bracis-19032	131	26	in	in	ADP
bracis-19032	131	27	magnitude	magnitude	NOUN
bracis-19032	131	28	than	than	ADP
bracis-19032	131	29	those	those	PRON
bracis-19032	131	30	in	in	ADP
bracis-19032	131	31	fig	fig	NOUN
bracis-19032	131	32	.	.	PUNCT
bracis-19032	131	33	 	 	SPACE
bracis-19032	131	34	2b	2b	NOUN
bracis-19032	131	35	and	and	CCONJ
bracis-19032	131	36	2c	2c	NUM
bracis-19032	131	37	.	.	PUNCT
bracis-19032	132	1	the	the	DET
bracis-19032	132	2	four	four	NUM
bracis-19032	132	3	-	-	PUNCT
bracis-19032	132	4	cluster	cluster	NOUN
bracis-19032	132	5	solution	solution	NOUN
bracis-19032	132	6	(	(	PUNCT
bracis-19032	132	7	fig	fig	NOUN
bracis-19032	132	8	.	.	PUNCT
bracis-19032	132	9	 	 	SPACE
bracis-19032	132	10	2c	2c	NOUN
bracis-19032	132	11	)	)	PUNCT
bracis-19032	132	12	is	be	AUX
bracis-19032	132	13	the	the	DET
bracis-19032	132	14	best	good	ADJ
bracis-19032	132	15	within	within	ADP
bracis-19032	132	16	the	the	DET
bracis-19032	132	17	solution	solution	NOUN
bracis-19032	132	18	set	set	VERB
bracis-19032	132	19	,	,	PUNCT
bracis-19032	132	20	as	as	SCONJ
bracis-19032	132	21	the	the	DET
bracis-19032	132	22	distances	distance	NOUN
bracis-19032	132	23	among	among	ADP
bracis-19032	132	24	objects	object	NOUN
bracis-19032	132	25	are	be	AUX
bracis-19032	132	26	exactly	exactly	ADV
bracis-19032	132	27	the	the	DET
bracis-19032	132	28	same	same	ADJ
bracis-19032	132	29	in	in	ADP
bracis-19032	132	30	each	each	DET
bracis-19032	132	31	cluster	cluster	NOUN
bracis-19032	132	32	.	.	PUNCT
bracis-19032	133	1	at	at	ADP
bracis-19032	133	2	last	last	ADV
bracis-19032	133	3	,	,	PUNCT
bracis-19032	133	4	it	it	PRON
bracis-19032	133	5	is	be	AUX
bracis-19032	133	6	worth	worth	ADJ
bracis-19032	133	7	noting	note	VERB
bracis-19032	133	8	that	that	SCONJ
bracis-19032	133	9	eq	eq	ADP
bracis-19032	133	10	.	.	PUNCT
bracis-19032	133	11	 	 	SPACE
bracis-19032	133	12	10	10	NUM
bracis-19032	133	13	should	should	AUX
bracis-19032	133	14	be	be	AUX
bracis-19032	133	15	minimized	minimize	VERB
bracis-19032	133	16	,	,	PUNCT
bracis-19032	133	17	$	$	SYM
bracis-19032	133	18	$	$	SYM
bracis-19032	133	19	\begin{aligned	\begin{aligne	VERB
bracis-19032	133	20	}	}	PUNCT
bracis-19032	133	21	\hat{k	\hat{k	ADJ
bracis-19032	133	22	}	}	PUNCT
bracis-19032	133	23	=	=	PUNCT
bracis-19032	133	24	\arg	\arg	ADP
bracis-19032	133	25	\min	\min	PROPN
bracis-19032	133	26	\mathrm	\mathrm	PROPN
bracis-19032	133	27	{	{	PUNCT
bracis-19032	133	28	mec}(k	mec}(k	PROPN
bracis-19032	133	29	)	)	PUNCT
bracis-19032	133	30	,	,	PUNCT
bracis-19032	133	31	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	133	32	(	(	PUNCT
bracis-19032	133	33	12	12	NUM
bracis-19032	133	34	)	)	PUNCT
bracis-19032	133	35	where	where	SCONJ
bracis-19032	133	36	\(k	\(k	NOUN
bracis-19032	133	37	\in	\in	ADJ
bracis-19032	133	38	[	[	X
bracis-19032	133	39	k_{min},k_{max}]\	k_{min},k_{max}]\	NOUN
bracis-19032	133	40	)	)	PUNCT
bracis-19032	133	41	and	and	CCONJ
bracis-19032	133	42	\(\hat{k}\	\(\hat{k}\	PROPN
bracis-19032	133	43	)	)	PUNCT
bracis-19032	133	44	is	be	AUX
bracis-19032	133	45	inferred	infer	VERB
bracis-19032	133	46	by	by	ADP
bracis-19032	133	47	the	the	DET
bracis-19032	133	48	variation	variation	NOUN
bracis-19032	133	49	of	of	ADP
bracis-19032	133	50	k	k	PROPN
bracis-19032	133	51	which	which	PRON
bracis-19032	133	52	determines	determine	VERB
bracis-19032	133	53	the	the	DET
bracis-19032	133	54	lowest	low	ADJ
bracis-19032	133	55	mec	mec	NOUN
bracis-19032	133	56	value	value	NOUN
bracis-19032	133	57	,	,	PUNCT
bracis-19032	133	58	regardless	regardless	ADV
bracis-19032	133	59	of	of	ADP
bracis-19032	133	60	the	the	DET
bracis-19032	133	61	clustering	cluster	VERB
bracis-19032	133	62	algorithm	algorithm	NOUN
bracis-19032	133	63	.	.	PUNCT
bracis-19032	134	1	improving	improve	VERB
bracis-19032	134	2	the	the	DET
bracis-19032	134	3	time	time	NOUN
bracis-19032	134	4	-	-	PUNCT
bracis-19032	134	5	complexity	complexity	NOUN
bracis-19032	134	6	of	of	ADP
bracis-19032	134	7	mec	mec	PROPN
bracis-19032	134	8	.	.	PROPN
bracis-19032	134	9	equation	equation	NOUN
bracis-19032	134	10	 	 	SPACE
bracis-19032	134	11	8	8	NUM
bracis-19032	134	12	can	can	AUX
bracis-19032	134	13	be	be	AUX
bracis-19032	134	14	equivalently	equivalently	ADV
bracis-19032	134	15	computed	compute	VERB
bracis-19032	134	16	in	in	ADP
bracis-19032	134	17	terms	term	NOUN
bracis-19032	134	18	of	of	ADP
bracis-19032	134	19	a	a	DET
bracis-19032	134	20	log	log	NOUN
bracis-19032	134	21	-	-	PUNCT
bracis-19032	134	22	linear	linear	NOUN
bracis-19032	134	23	time	time	NOUN
bracis-19032	134	24	complexity	complexity	NOUN
bracis-19032	134	25	as	as	ADP
bracis-19032	134	26	a	a	DET
bracis-19032	134	27	function	function	NOUN
bracis-19032	134	28	of	of	ADP
bracis-19032	134	29	\(l_\kappa	\(l_\kappa	PROPN
bracis-19032	134	30	\	\	NOUN
bracis-19032	134	31	)	)	PUNCT
bracis-19032	134	32	,	,	PUNCT
bracis-19032	134	33	to	to	PART
bracis-19032	134	34	improve	improve	VERB
bracis-19032	134	35	the	the	DET
bracis-19032	134	36	computational	computational	ADJ
bracis-19032	134	37	efficiency	efficiency	NOUN
bracis-19032	134	38	of	of	ADP
bracis-19032	134	39	mec	mec	PROPN
bracis-19032	134	40	.	.	PROPN
bracis-19032	134	41	to	to	PART
bracis-19032	134	42	do	do	VERB
bracis-19032	134	43	so	so	ADV
bracis-19032	134	44	,	,	PUNCT
bracis-19032	134	45	eq	eq	NOUN
bracis-19032	134	46	.	.	PUNCT
bracis-19032	134	47	 	 	SPACE
bracis-19032	134	48	8	8	NUM
bracis-19032	134	49	can	can	AUX
bracis-19032	134	50	be	be	AUX
bracis-19032	134	51	reformulated	reformulate	VERB
bracis-19032	134	52	to	to	PART
bracis-19032	134	53	generate	generate	VERB
bracis-19032	134	54	an	an	DET
bracis-19032	134	55	auxiliary	auxiliary	ADJ
bracis-19032	134	56	vector	vector	NOUN
bracis-19032	134	57	,	,	PUNCT
bracis-19032	134	58	as	as	ADV
bracis-19032	134	59	well	well	ADV
bracis-19032	134	60	as	as	ADP
bracis-19032	134	61	in	in	ADP
bracis-19032	134	62	sorting	sort	VERB
bracis-19032	134	63	\(d_\kappa	\(d_\kappa	PROPN
bracis-19032	134	64	\	\	NOUN
bracis-19032	134	65	)	)	PUNCT
bracis-19032	134	66	with	with	ADP
bracis-19032	134	67	an	an	DET
bracis-19032	134	68	algorithm	algorithm	NOUN
bracis-19032	134	69	of	of	ADP
bracis-19032	134	70	same	same	ADJ
bracis-19032	134	71	complexity	complexity	NOUN
bracis-19032	134	72	(	(	PUNCT
bracis-19032	134	73	e.g.	e.g.	ADV
bracis-19032	134	74	,	,	PUNCT
bracis-19032	134	75	heapsort	heapsort	NOUN
bracis-19032	134	76	)	)	PUNCT
bracis-19032	134	77	.	.	PUNCT
bracis-19032	135	1	in	in	ADP
bracis-19032	135	2	fact	fact	NOUN
bracis-19032	135	3	,	,	PUNCT
bracis-19032	135	4	the	the	DET
bracis-19032	135	5	time	time	NOUN
bracis-19032	135	6	complexity	complexity	NOUN
bracis-19032	135	7	of	of	ADP
bracis-19032	135	8	mec	mec	PROPN
bracis-19032	135	9	will	will	AUX
bracis-19032	135	10	be	be	AUX
bracis-19032	135	11	entirely	entirely	ADV
bracis-19032	135	12	dependent	dependent	ADJ
bracis-19032	135	13	on	on	ADP
bracis-19032	135	14	the	the	DET
bracis-19032	135	15	complexity	complexity	NOUN
bracis-19032	135	16	of	of	ADP
bracis-19032	135	17	the	the	DET
bracis-19032	135	18	chosen	choose	VERB
bracis-19032	135	19	sorting	sorting	NOUN
bracis-19032	135	20	algorithm	algorithm	NOUN
bracis-19032	135	21	.	.	PUNCT
bracis-19032	136	1	as	as	ADP
bracis-19032	136	2	such	such	ADJ
bracis-19032	136	3	,	,	PUNCT
bracis-19032	136	4	we	we	PRON
bracis-19032	136	5	have	have	VERB
bracis-19032	136	6	a	a	DET
bracis-19032	136	7	complexity	complexity	NOUN
bracis-19032	136	8	of	of	ADP
bracis-19032	136	9	\(\mathcal	\(\mathcal	ADJ
bracis-19032	136	10	{	{	PUNCT
bracis-19032	136	11	o}(l_\kappa	o}(l_\kappa	PROPN
bracis-19032	136	12	\log	\log	PROPN
bracis-19032	136	13	{	{	PUNCT
bracis-19032	136	14	}	}	PUNCT
bracis-19032	136	15	l_\kappa	l_\kappa	PROPN
bracis-19032	136	16	)	)	PUNCT
bracis-19032	136	17	\	\	NOUN
bracis-19032	136	18	)	)	PUNCT
bracis-19032	136	19	with	with	ADP
bracis-19032	136	20	the	the	DET
bracis-19032	136	21	heap	heap	NOUN
bracis-19032	136	22	-	-	PUNCT
bracis-19032	136	23	sort	sort	NOUN
bracis-19032	136	24	algorithm	algorithm	NOUN
bracis-19032	136	25	,	,	PUNCT
bracis-19032	136	26	or	or	CCONJ
bracis-19032	136	27	even	even	ADV
bracis-19032	136	28	\(\mathcal	\(\mathcal	ADJ
bracis-19032	136	29	{	{	PUNCT
bracis-19032	136	30	o}(n^2)\	o}(n^2)\	NOUN
bracis-19032	136	31	)	)	PUNCT
bracis-19032	136	32	,	,	PUNCT
bracis-19032	136	33	by	by	ADP
bracis-19032	136	34	the	the	DET
bracis-19032	136	35	reformulated	reformulate	VERB
bracis-19032	136	36	$	$	SYM
bracis-19032	136	37	$	$	SYM
bracis-19032	136	38	\begin{aligned	\begin{aligne	VERB
bracis-19032	136	39	}	}	PUNCT
bracis-19032	136	40	\mathcal	\mathcal	ADJ
bracis-19032	136	41	{	{	PUNCT
bracis-19032	136	42	m}_\kappa	m}_\kappa	PROPN
bracis-19032	136	43	=	=	NOUN
bracis-19032	137	1	\eta	\eta	PROPN
bracis-19032	137	2	_	_	PUNCT
bracis-19032	137	3	\kappa	\kappa	NUM
bracis-19032	137	4	^{-1	^{-1	ADJ
bracis-19032	137	5	}	}	PUNCT
bracis-19032	137	6	\sum	\sum	NOUN
bracis-19032	137	7	^{\tilde{l}_\kappa	^{\tilde{l}_\kappa	PUNCT
bracis-19032	137	8	}	}	PUNCT
bracis-19032	137	9	_	_	PUNCT
bracis-19032	137	10	{	{	PUNCT
bracis-19032	137	11	l=1	l=1	NOUN
bracis-19032	137	12	}	}	PUNCT
bracis-19032	137	13	\left	\left	PROPN
bracis-19032	137	14	(	(	PUNCT
bracis-19032	137	15	c_{l	c_{l	PROPN
bracis-19032	137	16	\kappa	\kappa	PROPN
bracis-19032	137	17	}	}	PUNCT
bracis-19032	137	18	\hat{d}_{l	\hat{d}_{l	NOUN
bracis-19032	137	19	\kappa	\kappa	NOUN
bracis-19032	137	20	}	}	PUNCT
bracis-19032	137	21	\times	\times	ADP
bracis-19032	137	22	\left	\left	PROPN
bracis-19032	137	23	(	(	PUNCT
bracis-19032	137	24	l_\kappa	l_\kappa	PROPN
bracis-19032	137	25	l	l	PROPN
bracis-19032	137	26	\right	\right	PROPN
bracis-19032	137	27	)	)	PUNCT
bracis-19032	137	28	\right	\right	NOUN
bracis-19032	137	29	)	)	PUNCT
bracis-19032	137	30	,	,	PUNCT
bracis-19032	137	31	\end{aligned}$$	\end{aligned}$$	X
bracis-19032	137	32	(	(	PUNCT
bracis-19032	137	33	13	13	NUM
bracis-19032	137	34	)	)	PUNCT
bracis-19032	137	35	where	where	SCONJ
bracis-19032	137	36	\(\hat{d_\kappa	\(\hat{d_\kappa	ADJ
bracis-19032	137	37	}	}	PUNCT
bracis-19032	137	38	\	\	NOUN
bracis-19032	137	39	)	)	PUNCT
bracis-19032	137	40	is	be	AUX
bracis-19032	137	41	the	the	DET
bracis-19032	137	42	increasing	increase	VERB
bracis-19032	137	43	ordering	ordering	NOUN
bracis-19032	137	44	of	of	ADP
bracis-19032	137	45	the	the	DET
bracis-19032	137	46	values	value	NOUN
bracis-19032	137	47	of	of	ADP
bracis-19032	137	48	\(d_\kappa	\(d_\kappa	PROPN
bracis-19032	137	49	\	\	PROPN
bracis-19032	137	50	)	)	PUNCT
bracis-19032	137	51	and	and	CCONJ
bracis-19032	137	52	\(\tilde{l}_\kappa	\(\tilde{l}_\kappa	X
bracis-19032	137	53	=	=	SYM
bracis-19032	137	54	l_\kappa	l_\kappa	ADJ
bracis-19032	137	55	1	1	X
bracis-19032	137	56	=	=	SYM
bracis-19032	137	57	\left|	\left|	NOUN
bracis-19032	137	58	c_\kappa	c_\kappa	NOUN
bracis-19032	137	59	\right|	\right|	PROPN
bracis-19032	137	60	\	\	PROPN
bracis-19032	137	61	)	)	PUNCT
bracis-19032	138	1	;	;	PUNCT
bracis-19032	138	2	\(c_\kappa	\(c_\kappa	PROPN
bracis-19032	138	3	\	\	PROPN
bracis-19032	138	4	)	)	PUNCT
bracis-19032	138	5	is	be	AUX
bracis-19032	138	6	an	an	DET
bracis-19032	138	7	auxiliary	auxiliary	ADJ
bracis-19032	138	8	variable	variable	NOUN
bracis-19032	138	9	that	that	PRON
bracis-19032	138	10	consists	consist	VERB
bracis-19032	138	11	of	of	ADP
bracis-19032	138	12	a	a	DET
bracis-19032	138	13	cumulative	cumulative	ADJ
bracis-19032	138	14	and	and	CCONJ
bracis-19032	138	15	naturally	naturally	ADV
bracis-19032	138	16	ordered	order	VERB
bracis-19032	138	17	vector	vector	NOUN
bracis-19032	138	18	of	of	ADP
bracis-19032	138	19	\(\hat{d_\kappa	\(\hat{d_\kappa	ADJ
bracis-19032	138	20	}	}	PUNCT
bracis-19032	138	21	\	\	NOUN
bracis-19032	138	22	)	)	PUNCT
bracis-19032	138	23	defined	define	VERB
bracis-19032	138	24	as	as	ADP
bracis-19032	138	25	fig	fig	NOUN
bracis-19032	138	26	.	.	PUNCT
bracis-19032	139	1	3	3	X
bracis-19032	139	2	.	.	X
bracis-19032	139	3	element	element	NOUN
bracis-19032	139	4	assignment	assignment	NOUN
bracis-19032	139	5	of	of	ADP
bracis-19032	139	6	\(c_\kappa	\(c_\kappa	PROPN
bracis-19032	139	7	\	\	PROPN
bracis-19032	139	8	)	)	PUNCT
bracis-19032	139	9	.	.	PUNCT
bracis-19032	140	1	full	full	ADJ
bracis-19032	140	2	size	size	NOUN
bracis-19032	140	3	image	image	NOUN
bracis-19032	140	4	looking	look	VERB
bracis-19032	140	5	at	at	ADP
bracis-19032	140	6	fig	fig	NOUN
bracis-19032	140	7	.	.	PUNCT
bracis-19032	140	8	 	 	SPACE
bracis-19032	141	1	3	3	NUM
bracis-19032	141	2	,	,	PUNCT
bracis-19032	141	3	each	each	DET
bracis-19032	141	4	square	square	NOUN
bracis-19032	141	5	and	and	CCONJ
bracis-19032	141	6	value	value	NOUN
bracis-19032	141	7	between	between	ADP
bracis-19032	141	8	square	square	ADJ
bracis-19032	141	9	brackets	bracket	NOUN
bracis-19032	141	10	depicts	depict	VERB
bracis-19032	141	11	some	some	DET
bracis-19032	141	12	vector	vector	NOUN
bracis-19032	141	13	position	position	NOUN
bracis-19032	141	14	(	(	PUNCT
bracis-19032	141	15	l	l	NOUN
bracis-19032	141	16	notation	notation	NOUN
bracis-19032	141	17	)	)	PUNCT
bracis-19032	141	18	.	.	PUNCT
bracis-19032	142	1	in	in	ADP
bracis-19032	142	2	eq	eq	PROPN
bracis-19032	142	3	.	.	PUNCT
bracis-19032	142	4	 	 	SPACE
bracis-19032	142	5	13	13	NUM
bracis-19032	142	6	,	,	PUNCT
bracis-19032	142	7	the	the	DET
bracis-19032	142	8	general	general	ADJ
bracis-19032	142	9	form	form	NOUN
bracis-19032	142	10	(	(	PUNCT
bracis-19032	142	11	\(l_\kappa	\(l_\kappa	PROPN
bracis-19032	142	12	-l\	-l\	NOUN
bracis-19032	142	13	)	)	PUNCT
bracis-19032	142	14	)	)	PUNCT
bracis-19032	142	15	consists	consist	VERB
bracis-19032	142	16	of	of	ADP
bracis-19032	142	17	the	the	DET
bracis-19032	142	18	number	number	NOUN
bracis-19032	142	19	of	of	ADP
bracis-19032	142	20	subtractions	subtraction	NOUN
bracis-19032	142	21	(	(	PUNCT
bracis-19032	142	22	eq	eq	NOUN
bracis-19032	142	23	.	.	PUNCT
bracis-19032	142	24	 	 	SPACE
bracis-19032	142	25	8)	8)	NUM
bracis-19032	142	26	represented	represent	VERB
bracis-19032	142	27	by	by	ADP
bracis-19032	142	28	arrows	arrow	NOUN
bracis-19032	142	29	in	in	ADP
bracis-19032	142	30	the	the	DET
bracis-19032	142	31	figure	figure	NOUN
bracis-19032	142	32	,	,	PUNCT
bracis-19032	142	33	with	with	ADP
bracis-19032	142	34	\(\hat{d}_{l	\(\hat{d}_{l	ADJ
bracis-19032	142	35	\kappa	\kappa	ADJ
bracis-19032	142	36	}	}	PUNCT
bracis-19032	142	37	\	\	NOUN
bracis-19032	142	38	)	)	PUNCT
bracis-19032	142	39	depending	depend	VERB
bracis-19032	142	40	on	on	ADP
bracis-19032	142	41	its	its	PRON
bracis-19032	142	42	location	location	NOUN
bracis-19032	142	43	.	.	PUNCT
bracis-19032	143	1	the	the	DET
bracis-19032	143	2	ordered	order	VERB
bracis-19032	143	3	\(\hat{d}_\kappa	\(\hat{d}_\kappa	PROPN
bracis-19032	143	4	\	\	PROPN
bracis-19032	143	5	)	)	PUNCT
bracis-19032	143	6	ensures	ensure	VERB
bracis-19032	143	7	that	that	SCONJ
bracis-19032	143	8	\(\hat{d}_{l	\(\hat{d}_{l	ADJ
bracis-19032	143	9	\kappa	\kappa	X
bracis-19032	143	10	}	}	PUNCT
bracis-19032	143	11	\le	\le	PROPN
bracis-19032	143	12	\hat{d}_{l+1,\kappa	\hat{d}_{l+1,\kappa	ADJ
bracis-19032	143	13	}	}	PUNCT
bracis-19032	143	14	\	\	NOUN
bracis-19032	143	15	)	)	PUNCT
bracis-19032	143	16	.	.	PUNCT
bracis-19032	144	1	by	by	ADP
bracis-19032	144	2	transitivity	transitivity	NOUN
bracis-19032	144	3	we	we	PRON
bracis-19032	144	4	have	have	VERB
bracis-19032	144	5	that	that	PRON
bracis-19032	144	6	,	,	PUNCT
bracis-19032	144	7	in	in	ADP
bracis-19032	144	8	eq	eq	ADP
bracis-19032	144	9	.	.	PUNCT
bracis-19032	144	10	 	 	SPACE
bracis-19032	144	11	13	13	NUM
bracis-19032	144	12	,	,	PUNCT
bracis-19032	144	13	$	$	SYM
bracis-19032	144	14	$	$	SYM
bracis-19032	144	15	\hat{d}_{l	\hat{d}_{l	NOUN
bracis-19032	144	16	\kappa	\kappa	NOUN
bracis-19032	144	17	}	}	PUNCT
bracis-19032	144	18	\times	\times	ADP
bracis-19032	144	19	\left	\left	PROPN
bracis-19032	144	20	(	(	PUNCT
bracis-19032	144	21	l_\kappa	l_\kappa	PROPN
bracis-19032	144	22	l	l	PROPN
bracis-19032	144	23	\right	\right	PROPN
bracis-19032	144	24	)	)	PUNCT
bracis-19032	144	25	\le	\le	PROPN
bracis-19032	144	26	c_{l	c_{l	NOUN
bracis-19032	144	27	\kappa	\kappa	PROPN
bracis-19032	144	28	}	}	PUNCT
bracis-19032	144	29	,	,	PUNCT
bracis-19032	144	30	\quad	\quad	PROPN
bracis-19032	144	31	l	l	NOUN
bracis-19032	144	32	=	=	SYM
bracis-19032	144	33	1,\dots	1,\dot	NOUN
bracis-19032	144	34	,	,	PUNCT
bracis-19032	144	35	\tilde{l}.$$	\tilde{l}.$$	VERB
bracis-19032	144	36	hence	hence	ADV
bracis-19032	144	37	,	,	PUNCT
bracis-19032	144	38	\(\hat{d}_\kappa	\(\hat{d}_\kappa	PROPN
bracis-19032	144	39	\	\	NOUN
bracis-19032	144	40	)	)	PUNCT
bracis-19032	144	41	is	be	AUX
bracis-19032	144	42	sensibly	sensibly	ADV
bracis-19032	144	43	less	less	ADV
bracis-19032	144	44	accessed	access	VERB
bracis-19032	144	45	,	,	PUNCT
bracis-19032	144	46	thus	thus	ADV
bracis-19032	144	47	reducing	reduce	VERB
bracis-19032	144	48	the	the	DET
bracis-19032	144	49	time	time	NOUN
bracis-19032	144	50	complexity	complexity	NOUN
bracis-19032	144	51	of	of	ADP
bracis-19032	144	52	mec	mec	PROPN
bracis-19032	144	53	.	.	PROPN
bracis-19032	144	54	4	4	NUM
bracis-19032	144	55	results	result	NOUN
bracis-19032	144	56	and	and	CCONJ
bracis-19032	144	57	analyses	analyse	VERB
bracis-19032	144	58	this	this	DET
bracis-19032	144	59	section	section	NOUN
bracis-19032	144	60	describes	describe	VERB
bracis-19032	144	61	the	the	DET
bracis-19032	144	62	results	result	NOUN
bracis-19032	144	63	achieved	achieve	VERB
bracis-19032	144	64	by	by	ADP
bracis-19032	144	65	the	the	DET
bracis-19032	144	66	five	five	NUM
bracis-19032	144	67	algorithms	algorithm	NOUN
bracis-19032	144	68	compared	compare	VERB
bracis-19032	144	69	in	in	ADP
bracis-19032	144	70	this	this	DET
bracis-19032	144	71	study	study	NOUN
bracis-19032	144	72	:	:	PUNCT
bracis-19032	144	73	gadba	gadba	ADJ
bracis-19032	144	74	,	,	PUNCT
bracis-19032	144	75	its	its	PRON
bracis-19032	144	76	new	new	ADJ
bracis-19032	144	77	version	version	NOUN
bracis-19032	144	78	gadba	gadba	PROPN
bracis-19032	144	79	-	-	PUNCT
bracis-19032	144	80	mec	mec	NOUN
bracis-19032	144	81	,	,	PUNCT
bracis-19032	144	82	k	k	PROPN
bracis-19032	144	83	-means	-means	PROPN
bracis-19032	144	84	,	,	PUNCT
bracis-19032	144	85	gmm	gmm	NOUN
bracis-19032	144	86	,	,	PUNCT
bracis-19032	144	87	and	and	CCONJ
bracis-19032	144	88	linkage	linkage	NOUN
bracis-19032	144	89	.	.	PUNCT
bracis-19032	145	1	since	since	SCONJ
bracis-19032	145	2	none	none	NOUN
bracis-19032	145	3	of	of	ADP
bracis-19032	145	4	the	the	DET
bracis-19032	145	5	last	last	ADJ
bracis-19032	145	6	three	three	NUM
bracis-19032	145	7	techniques	technique	NOUN
bracis-19032	145	8	automatically	automatically	ADV
bracis-19032	145	9	finds	find	VERB
bracis-19032	145	10	\(\hat{k}\	\(\hat{k}\	NOUN
bracis-19032	145	11	)	)	PUNCT
bracis-19032	145	12	,	,	PUNCT
bracis-19032	145	13	the	the	DET
bracis-19032	145	14	calinski	calinski	PROPN
bracis-19032	145	15	and	and	CCONJ
bracis-19032	145	16	harabasz	harabasz	PROPN
bracis-19032	145	17	cluster	cluster	NOUN
bracis-19032	145	18	validity	validity	NOUN
bracis-19032	145	19	index	index	NOUN
bracis-19032	145	20	(	(	PUNCT
bracis-19032	145	21	cvi	cvi	NOUN
bracis-19032	145	22	)	)	PUNCT
bracis-19032	145	23	is	be	AUX
bracis-19032	145	24	used	use	VERB
bracis-19032	145	25	to	to	PART
bracis-19032	145	26	optimize	optimize	VERB
bracis-19032	145	27	\(\hat{k}\	\(\hat{k}\	NOUN
bracis-19032	145	28	)	)	PUNCT
bracis-19032	145	29	through	through	ADP
bracis-19032	145	30	cluster	cluster	NOUN
bracis-19032	145	31	validation	validation	NOUN
bracis-19032	145	32	(	(	PUNCT
bracis-19032	145	33	sect	sect	NOUN
bracis-19032	145	34	.	.	PUNCT
bracis-19032	145	35	 	 	SPACE
bracis-19032	145	36	3.2	3.2	NUM
bracis-19032	145	37	)	)	PUNCT
bracis-19032	145	38	.	.	PUNCT
bracis-19032	146	1	section	section	NOUN
bracis-19032	146	2	4.1	4.1	NUM
bracis-19032	146	3	presents	present	VERB
bracis-19032	146	4	the	the	DET
bracis-19032	146	5	methodology	methodology	NOUN
bracis-19032	146	6	as	as	ADP
bracis-19032	146	7	how	how	SCONJ
bracis-19032	146	8	to	to	PART
bracis-19032	146	9	,	,	PUNCT
bracis-19032	146	10	and	and	CCONJ
bracis-19032	146	11	by	by	ADP
bracis-19032	146	12	what	what	PRON
bracis-19032	146	13	means	mean	VERB
bracis-19032	146	14	,	,	PUNCT
bracis-19032	146	15	the	the	DET
bracis-19032	146	16	results	result	NOUN
bracis-19032	146	17	were	be	AUX
bracis-19032	146	18	generated	generate	VERB
bracis-19032	146	19	;	;	PUNCT
bracis-19032	146	20	sect	sect	NOUN
bracis-19032	146	21	.	.	PUNCT
bracis-19032	146	22	 	 	SPACE
bracis-19032	147	1	4.2	4.2	NUM
bracis-19032	147	2	discusses	discuss	VERB
bracis-19032	147	3	the	the	DET
bracis-19032	147	4	results	result	NOUN
bracis-19032	147	5	highlighting	highlight	VERB
bracis-19032	147	6	the	the	DET
bracis-19032	147	7	techniques	technique	NOUN
bracis-19032	147	8	that	that	PRON
bracis-19032	147	9	clustered	cluster	VERB
bracis-19032	147	10	the	the	DET
bracis-19032	147	11	data	datum	NOUN
bracis-19032	147	12	;	;	PUNCT
bracis-19032	147	13	and	and	CCONJ
bracis-19032	147	14	the	the	DET
bracis-19032	147	15	statistical	statistical	ADJ
bracis-19032	147	16	significance	significance	NOUN
bracis-19032	147	17	of	of	ADP
bracis-19032	147	18	the	the	DET
bracis-19032	147	19	results	result	NOUN
bracis-19032	147	20	is	be	AUX
bracis-19032	147	21	analysed	analyse	VERB
bracis-19032	147	22	in	in	ADP
bracis-19032	147	23	sect	sect	NOUN
bracis-19032	147	24	.	.	PUNCT
bracis-19032	147	25	 	 	SPACE
bracis-19032	148	1	4.3	4.3	NUM
bracis-19032	148	2	.	.	NOUN
bracis-19032	148	3	4.1	4.1	NUM
bracis-19032	148	4	applied	apply	VERB
bracis-19032	148	5	methodology	methodology	NOUN
bracis-19032	148	6	the	the	DET
bracis-19032	148	7	accuracy	accuracy	NOUN
bracis-19032	148	8	of	of	ADP
bracis-19032	148	9	the	the	DET
bracis-19032	148	10	clustering	clustering	ADJ
bracis-19032	148	11	algorithms	algorithms	NOUN
bracis-19032	148	12	is	be	AUX
bracis-19032	148	13	explained	explain	VERB
bracis-19032	148	14	in	in	ADP
bracis-19032	148	15	a	a	DET
bracis-19032	148	16	set	set	NOUN
bracis-19032	148	17	of	of	ADP
bracis-19032	148	18	statistical	statistical	ADJ
bracis-19032	148	19	indicators	indicator	NOUN
bracis-19032	148	20	,	,	PUNCT
bracis-19032	148	21	such	such	ADJ
bracis-19032	148	22	as	as	ADP
bracis-19032	148	23	absolute	absolute	ADJ
bracis-19032	148	24	frequency	frequency	NOUN
bracis-19032	148	25	,	,	PUNCT
bracis-19032	148	26	mean	mean	ADJ
bracis-19032	148	27	and	and	CCONJ
bracis-19032	148	28	standard	standard	ADJ
bracis-19032	148	29	deviation	deviation	NOUN
bracis-19032	148	30	of	of	ADP
bracis-19032	148	31	\(\hat{k}\	\(\hat{k}\	NOUN
bracis-19032	148	32	)	)	PUNCT
bracis-19032	148	33	,	,	PUNCT
bracis-19032	148	34	in	in	ADP
bracis-19032	148	35	twenty	twenty	NUM
bracis-19032	148	36	clustering	clustering	ADJ
bracis-19032	148	37	validations	validation	NOUN
bracis-19032	148	38	for	for	ADP
bracis-19032	148	39	each	each	DET
bracis-19032	148	40	data	datum	NOUN
bracis-19032	148	41	set	set	VERB
bracis-19032	148	42	(	(	PUNCT
bracis-19032	148	43	i.e.	i.e.	X
bracis-19032	148	44	,	,	PUNCT
bracis-19032	148	45	\(n_r	\(n_r	ADJ
bracis-19032	148	46	=	=	SYM
bracis-19032	148	47	20\	20\	NUM
bracis-19032	148	48	)	)	PUNCT
bracis-19032	148	49	)	)	PUNCT
bracis-19032	148	50	.	.	PUNCT
bracis-19032	149	1	the	the	DET
bracis-19032	149	2	mean	mean	ADJ
bracis-19032	149	3	absolute	absolute	ADJ
bracis-19032	149	4	percentage	percentage	NOUN
bracis-19032	149	5	error	error	NOUN
bracis-19032	149	6	(	(	PUNCT
bracis-19032	149	7	mape	mape	NOUN
bracis-19032	149	8	)	)	PUNCT
bracis-19032	149	9	was	be	AUX
bracis-19032	149	10	then	then	ADV
bracis-19032	149	11	estimated	estimate	VERB
bracis-19032	149	12	between	between	ADP
bracis-19032	149	13	the	the	DET
bracis-19032	149	14	desired	desire	VERB
bracis-19032	149	15	(	(	PUNCT
bracis-19032	149	16	\(k_{opt}\	\(k_{opt}\	PROPN
bracis-19032	149	17	)	)	PUNCT
bracis-19032	149	18	)	)	PUNCT
bracis-19032	149	19	and	and	CCONJ
bracis-19032	149	20	optimized	optimize	VERB
bracis-19032	149	21	(	(	PUNCT
bracis-19032	149	22	\(\hat{k}\	\(\hat{k}\	NOUN
bracis-19032	149	23	)	)	PUNCT
bracis-19032	149	24	)	)	PUNCT
bracis-19032	149	25	number	number	NOUN
bracis-19032	149	26	of	of	ADP
bracis-19032	149	27	clusters	cluster	NOUN
bracis-19032	149	28	in	in	ADP
bracis-19032	149	29	sect	sect	NOUN
bracis-19032	149	30	.	.	PUNCT
bracis-19032	149	31	 	 	SPACE
bracis-19032	150	1	4.3	4.3	NUM
bracis-19032	150	2	.	.	PUNCT
bracis-19032	151	1	it	it	PRON
bracis-19032	151	2	generally	generally	ADV
bracis-19032	151	3	expresses	express	VERB
bracis-19032	151	4	accuracy	accuracy	NOUN
bracis-19032	151	5	as	as	ADP
bracis-19032	151	6	a	a	DET
bracis-19032	151	7	percentage	percentage	NOUN
bracis-19032	151	8	which	which	PRON
bracis-19032	151	9	is	be	AUX
bracis-19032	151	10	designated	designate	VERB
bracis-19032	151	11	by	by	ADP
bracis-19032	151	12	(	(	PUNCT
bracis-19032	151	13	15	15	NUM
bracis-19032	151	14	)	)	PUNCT
bracis-19032	151	15	table	table	NOUN
bracis-19032	151	16	 	 	SPACE
bracis-19032	151	17	1	1	NUM
bracis-19032	151	18	presents	present	NOUN
bracis-19032	151	19	data	data	NOUN
bracis-19032	151	20	sets	set	NOUN
bracis-19032	151	21	from	from	ADP
bracis-19032	151	22	different	different	ADJ
bracis-19032	151	23	benchmarks	benchmark	NOUN
bracis-19032	151	24	used	use	VERB
bracis-19032	151	25	for	for	ADP
bracis-19032	151	26	performance	performance	NOUN
bracis-19032	151	27	analysis	analysis	NOUN
bracis-19032	151	28	when	when	SCONJ
bracis-19032	151	29	comparing	compare	VERB
bracis-19032	151	30	clustering	clustering	ADJ
bracis-19032	151	31	algorithms	algorithm	NOUN
bracis-19032	151	32	.	.	PUNCT
bracis-19032	152	1	to	to	PART
bracis-19032	152	2	evaluate	evaluate	VERB
bracis-19032	152	3	the	the	DET
bracis-19032	152	4	algorithms	algorithm	NOUN
bracis-19032	152	5	,	,	PUNCT
bracis-19032	152	6	ten	ten	NUM
bracis-19032	152	7	sets	set	NOUN
bracis-19032	152	8	were	be	AUX
bracis-19032	152	9	selected	select	VERB
bracis-19032	152	10	as	as	ADP
bracis-19032	152	11	archetypes	archetype	NOUN
bracis-19032	152	12	of	of	ADP
bracis-19032	152	13	real	real	ADJ
bracis-19032	152	14	challenges	challenge	NOUN
bracis-19032	152	15	faced	face	VERB
bracis-19032	152	16	in	in	ADP
bracis-19032	152	17	cluster	cluster	NOUN
bracis-19032	152	18	validation	validation	NOUN
bracis-19032	152	19	(	(	PUNCT
bracis-19032	152	20	e.g.	e.g.	ADV
bracis-19032	152	21	,	,	PUNCT
bracis-19032	152	22	data	datum	NOUN
bracis-19032	152	23	hierarchy	hierarchy	NOUN
bracis-19032	152	24	,	,	PUNCT
bracis-19032	152	25	clustering	cluster	VERB
bracis-19032	152	26	tendency	tendency	NOUN
bracis-19032	152	27	,	,	PUNCT
bracis-19032	152	28	different	different	ADJ
bracis-19032	152	29	densities	density	NOUN
bracis-19032	152	30	/	/	SYM
bracis-19032	152	31	sizes	size	NOUN
bracis-19032	152	32	)	)	PUNCT
bracis-19032	152	33	.	.	PUNCT
bracis-19032	153	1	table	table	NOUN
bracis-19032	153	2	1	1	NUM
bracis-19032	153	3	.	.	PUNCT
bracis-19032	154	1	properties	property	NOUN
bracis-19032	154	2	of	of	ADP
bracis-19032	154	3	test	test	NOUN
bracis-19032	154	4	data	datum	NOUN
bracis-19032	154	5	sets.full	sets.full	PRON
bracis-19032	154	6	size	size	NOUN
bracis-19032	154	7	table	table	NOUN
bracis-19032	154	8	the	the	DET
bracis-19032	154	9	gadba	gadba	PROPN
bracis-19032	154	10	-	-	PUNCT
bracis-19032	154	11	mec	mec	PROPN
bracis-19032	154	12	algorithm	algorithm	NOUN
bracis-19032	154	13	works	work	VERB
bracis-19032	154	14	through	through	ADP
bracis-19032	154	15	some	some	DET
bracis-19032	154	16	previously	previously	ADV
bracis-19032	154	17	specified	specify	VERB
bracis-19032	154	18	hyper	hyper	ADJ
bracis-19032	154	19	-	-	NOUN
bracis-19032	154	20	parameters	parameter	NOUN
bracis-19032	154	21	.	.	PUNCT
bracis-19032	155	1	considering	consider	VERB
bracis-19032	155	2	an	an	DET
bracis-19032	155	3	oscillation	oscillation	NOUN
bracis-19032	155	4	of	of	ADP
bracis-19032	155	5	the	the	DET
bracis-19032	155	6	best	good	ADJ
bracis-19032	155	7	fitness	fitness	NOUN
bracis-19032	155	8	in	in	ADP
bracis-19032	155	9	the	the	DET
bracis-19032	155	10	order	order	NOUN
bracis-19032	155	11	of	of	ADP
bracis-19032	155	12	\({1	\({1	PRON
bracis-19032	155	13	\times	\time	VERB
bracis-19032	155	14	10^{-4}}\	10^{-4}}\	NUM
bracis-19032	155	15	)	)	PUNCT
bracis-19032	155	16	,	,	PUNCT
bracis-19032	155	17	the	the	DET
bracis-19032	155	18	number	number	NOUN
bracis-19032	155	19	of	of	ADP
bracis-19032	155	20	generations	generation	NOUN
bracis-19032	155	21	needed	need	VERB
bracis-19032	155	22	to	to	PART
bracis-19032	155	23	infer	infer	VERB
bracis-19032	155	24	the	the	DET
bracis-19032	155	25	convergence	convergence	NOUN
bracis-19032	155	26	of	of	ADP
bracis-19032	155	27	the	the	DET
bracis-19032	155	28	fitness	fitness	NOUN
bracis-19032	155	29	value	value	NOUN
bracis-19032	155	30	is	be	AUX
bracis-19032	155	31	50	50	NUM
bracis-19032	155	32	.	.	PUNCT
bracis-19032	156	1	the	the	DET
bracis-19032	156	2	crossover	crossover	NOUN
bracis-19032	156	3	and	and	CCONJ
bracis-19032	156	4	mutation	mutation	NOUN
bracis-19032	156	5	probabilities	probability	NOUN
bracis-19032	156	6	are	be	AUX
bracis-19032	156	7	0.8	0.8	NUM
bracis-19032	156	8	and	and	CCONJ
bracis-19032	156	9	0.03	0.03	NUM
bracis-19032	156	10	,	,	PUNCT
bracis-19032	156	11	respectively	respectively	ADV
bracis-19032	156	12	.	.	PUNCT
bracis-19032	157	1	the	the	DET
bracis-19032	157	2	ring	ring	NOUN
bracis-19032	157	3	size	size	NOUN
bracis-19032	157	4	of	of	ADP
bracis-19032	157	5	the	the	DET
bracis-19032	157	6	tournament	tournament	NOUN
bracis-19032	157	7	method	method	NOUN
bracis-19032	157	8	for	for	ADP
bracis-19032	157	9	individual	individual	ADJ
bracis-19032	157	10	selection	selection	NOUN
bracis-19032	157	11	is	be	AUX
bracis-19032	157	12	set	set	VERB
bracis-19032	157	13	to	to	ADP
bracis-19032	157	14	3	3	NUM
bracis-19032	157	15	.	.	PUNCT
bracis-19032	158	1	the	the	DET
bracis-19032	158	2	population	population	NOUN
bracis-19032	158	3	size	size	NOUN
bracis-19032	158	4	and	and	CCONJ
bracis-19032	158	5	the	the	DET
bracis-19032	158	6	maximum	maximum	ADJ
bracis-19032	158	7	number	number	NOUN
bracis-19032	158	8	of	of	ADP
bracis-19032	158	9	clusters	cluster	NOUN
bracis-19032	158	10	are	be	AUX
bracis-19032	158	11	100	100	NUM
bracis-19032	158	12	and	and	CCONJ
bracis-19032	158	13	30	30	NUM
bracis-19032	158	14	,	,	PUNCT
bracis-19032	158	15	respectively	respectively	ADV
bracis-19032	158	16	.	.	PUNCT
bracis-19032	159	1	all	all	DET
bracis-19032	159	2	experiments	experiment	NOUN
bracis-19032	159	3	presented	present	VERB
bracis-19032	159	4	herein	herein	NOUN
bracis-19032	159	5	were	be	AUX
bracis-19032	159	6	conducted	conduct	VERB
bracis-19032	159	7	on	on	ADP
bracis-19032	159	8	a	a	DET
bracis-19032	159	9	computer	computer	NOUN
bracis-19032	159	10	with	with	ADP
bracis-19032	159	11	an	an	DET
bracis-19032	159	12	intel	intel	NOUN
bracis-19032	159	13	©	©	PROPN
bracis-19032	159	14	coretm	coretm	NOUN
bracis-19032	159	15	i5	i5	PROPN
bracis-19032	159	16	cpu	cpu	NOUN
bracis-19032	159	17	@	@	ADP
bracis-19032	159	18	3.00	3.00	NUM
bracis-19032	159	19	 	 	SPACE
bracis-19032	159	20	ghz	ghz	NOUN
bracis-19032	159	21	with	with	ADP
bracis-19032	159	22	8	8	NUM
bracis-19032	159	23	gb	gb	NOUN
bracis-19032	159	24	of	of	ADP
bracis-19032	159	25	memory	memory	NOUN
bracis-19032	159	26	running	run	VERB
bracis-19032	159	27	matlab	matlab	PROPN
bracis-19032	159	28	®	®	NOUN
bracis-19032	159	29	2017a	2017a	NUM
bracis-19032	159	30	.	.	PUNCT
bracis-19032	160	1	most	most	ADJ
bracis-19032	160	2	packages	package	NOUN
bracis-19032	160	3	used	use	VERB
bracis-19032	160	4	in	in	ADP
bracis-19032	160	5	our	our	PRON
bracis-19032	160	6	tests	test	NOUN
bracis-19032	160	7	are	be	AUX
bracis-19032	160	8	internal	internal	ADJ
bracis-19032	160	9	to	to	ADP
bracis-19032	160	10	matlab	matlab	PROPN
bracis-19032	160	11	®	®	PROPN
bracis-19032	160	12	.	.	PUNCT
bracis-19032	161	1	4.2	4.2	NUM
bracis-19032	161	2	cluster	cluster	NOUN
bracis-19032	161	3	detection	detection	NOUN
bracis-19032	161	4	results	result	VERB
bracis-19032	161	5	one	one	NUM
bracis-19032	161	6	approach	approach	NOUN
bracis-19032	161	7	to	to	PART
bracis-19032	161	8	evaluate	evaluate	VERB
bracis-19032	161	9	the	the	DET
bracis-19032	161	10	performance	performance	NOUN
bracis-19032	161	11	of	of	ADP
bracis-19032	161	12	the	the	DET
bracis-19032	161	13	clustering	clustering	ADJ
bracis-19032	161	14	algorithms	algorithms	NOUN
bracis-19032	161	15	is	be	AUX
bracis-19032	161	16	to	to	PART
bracis-19032	161	17	analyse	analyse	VERB
bracis-19032	161	18	how	how	SCONJ
bracis-19032	161	19	frequently	frequently	ADV
bracis-19032	161	20	\(\hat{k	\(\hat{k	VERB
bracis-19032	161	21	}	}	PUNCT
bracis-19032	161	22	=	=	SYM
bracis-19032	161	23	k_{opt}\	k_{opt}\	PROPN
bracis-19032	161	24	)	)	PUNCT
bracis-19032	161	25	.	.	PUNCT
bracis-19032	162	1	in	in	ADP
bracis-19032	162	2	this	this	DET
bracis-19032	162	3	sense	sense	NOUN
bracis-19032	162	4	,	,	PUNCT
bracis-19032	162	5	table	table	NOUN
bracis-19032	162	6	 	 	SPACE
bracis-19032	162	7	2	2	NUM
bracis-19032	162	8	shows	show	VERB
bracis-19032	162	9	the	the	DET
bracis-19032	162	10	frequency	frequency	NOUN
bracis-19032	162	11	of	of	ADP
bracis-19032	162	12	\(k_{opt}\	\(k_{opt}\	PROPN
bracis-19032	162	13	)	)	PUNCT
bracis-19032	162	14	with	with	ADP
bracis-19032	162	15	emphasis	emphasis	NOUN
bracis-19032	162	16	on	on	ADP
bracis-19032	162	17	the	the	DET
bracis-19032	162	18	highest	high	ADJ
bracis-19032	162	19	absolute	absolute	ADJ
bracis-19032	162	20	frequency	frequency	NOUN
bracis-19032	162	21	by	by	ADP
bracis-19032	162	22	algorithm	algorithm	NOUN
bracis-19032	162	23	in	in	ADP
bracis-19032	162	24	blue	blue	ADJ
bracis-19032	162	25	.	.	PUNCT
bracis-19032	163	1	table	table	NOUN
bracis-19032	163	2	2	2	NUM
bracis-19032	163	3	.	.	PUNCT
bracis-19032	163	4	cluster	cluster	NOUN
bracis-19032	163	5	detection	detection	NOUN
bracis-19032	163	6	results	result	NOUN
bracis-19032	163	7	taken	take	VERB
bracis-19032	163	8	from	from	ADP
bracis-19032	163	9	the	the	DET
bracis-19032	163	10	data	datum	NOUN
bracis-19032	163	11	sets.full	sets.full	PRON
bracis-19032	163	12	size	size	NOUN
bracis-19032	163	13	table	table	NOUN
bracis-19032	163	14	only	only	ADV
bracis-19032	163	15	gadba	gadba	NOUN
bracis-19032	163	16	is	be	AUX
bracis-19032	163	17	inconsistent	inconsistent	ADJ
bracis-19032	163	18	with	with	ADP
bracis-19032	163	19	\(k_{opt}\	\(k_{opt}\	NOUN
bracis-19032	163	20	)	)	PUNCT
bracis-19032	163	21	overall	overall	ADJ
bracis-19032	163	22	due	due	ADP
bracis-19032	163	23	to	to	ADP
bracis-19032	163	24	its	its	PRON
bracis-19032	163	25	shm	shm	ADV
bracis-19032	163	26	-	-	PUNCT
bracis-19032	163	27	related	relate	VERB
bracis-19032	163	28	objective	objective	ADJ
bracis-19032	163	29	function	function	NOUN
bracis-19032	163	30	,	,	PUNCT
bracis-19032	163	31	as	as	SCONJ
bracis-19032	163	32	proven	prove	VERB
bracis-19032	163	33	by	by	ADP
bracis-19032	163	34	the	the	DET
bracis-19032	163	35	performance	performance	NOUN
bracis-19032	163	36	of	of	ADP
bracis-19032	163	37	gadba	gadba	PROPN
bracis-19032	163	38	-	-	PUNCT
bracis-19032	163	39	mec	mec	NOUN
bracis-19032	163	40	.	.	PUNCT
bracis-19032	164	1	moreover	moreover	ADV
bracis-19032	164	2	,	,	PUNCT
bracis-19032	164	3	gadba	gadba	PROPN
bracis-19032	164	4	is	be	AUX
bracis-19032	164	5	the	the	DET
bracis-19032	164	6	most	most	ADV
bracis-19032	164	7	unstable	unstable	ADJ
bracis-19032	164	8	algorithm	algorithm	NOUN
bracis-19032	164	9	,	,	PUNCT
bracis-19032	164	10	as	as	SCONJ
bracis-19032	164	11	shown	show	VERB
bracis-19032	164	12	by	by	ADP
bracis-19032	164	13	the	the	DET
bracis-19032	164	14	standard	standard	ADJ
bracis-19032	164	15	deviation	deviation	NOUN
bracis-19032	164	16	values	value	NOUN
bracis-19032	164	17	.	.	PUNCT
bracis-19032	165	1	the	the	DET
bracis-19032	165	2	only	only	ADJ
bracis-19032	165	3	highlight	highlight	NOUN
bracis-19032	165	4	of	of	ADP
bracis-19032	165	5	gadba	gadba	PROPN
bracis-19032	165	6	was	be	AUX
bracis-19032	165	7	reached	reach	VERB
bracis-19032	165	8	in	in	ADP
bracis-19032	165	9	iris	iris	NOUN
bracis-19032	165	10	,	,	PUNCT
bracis-19032	165	11	although	although	SCONJ
bracis-19032	165	12	this	this	PRON
bracis-19032	165	13	might	might	AUX
bracis-19032	165	14	be	be	AUX
bracis-19032	165	15	explained	explain	VERB
bracis-19032	165	16	by	by	ADP
bracis-19032	165	17	its	its	PRON
bracis-19032	165	18	tendency	tendency	NOUN
bracis-19032	165	19	of	of	ADP
bracis-19032	165	20	settling	settle	VERB
bracis-19032	165	21	on	on	ADP
bracis-19032	165	22	lower	low	ADJ
bracis-19032	165	23	k	k	PROPN
bracis-19032	165	24	values	value	NOUN
bracis-19032	165	25	.	.	PUNCT
bracis-19032	166	1	thus	thus	ADV
bracis-19032	166	2	,	,	PUNCT
bracis-19032	166	3	a	a	DET
bracis-19032	166	4	new	new	ADJ
bracis-19032	166	5	version	version	NOUN
bracis-19032	166	6	is	be	AUX
bracis-19032	166	7	justified	justify	VERB
bracis-19032	166	8	ex	ex	PRON
bracis-19032	166	9	post	post	NOUN
bracis-19032	166	10	facto	facto	X
bracis-19032	166	11	,	,	PUNCT
bracis-19032	166	12	attesting	attest	VERB
bracis-19032	166	13	to	to	ADP
bracis-19032	166	14	the	the	DET
bracis-19032	166	15	generalization	generalization	NOUN
bracis-19032	166	16	potential	potential	NOUN
bracis-19032	166	17	of	of	ADP
bracis-19032	166	18	gadba	gadba	PROPN
bracis-19032	166	19	-	-	PUNCT
bracis-19032	166	20	mec	mec	NOUN
bracis-19032	166	21	.	.	PUNCT
bracis-19032	167	1	an	an	DET
bracis-19032	167	2	important	important	ADJ
bracis-19032	167	3	highlight	highlight	NOUN
bracis-19032	167	4	of	of	ADP
bracis-19032	167	5	the	the	DET
bracis-19032	167	6	proposed	propose	VERB
bracis-19032	167	7	version	version	NOUN
bracis-19032	167	8	is	be	AUX
bracis-19032	167	9	the	the	DET
bracis-19032	167	10	detection	detection	NOUN
bracis-19032	167	11	of	of	ADP
bracis-19032	167	12	low	low	ADJ
bracis-19032	167	13	-	-	PUNCT
bracis-19032	167	14	separation	separation	NOUN
bracis-19032	167	15	hierarchical	hierarchical	ADJ
bracis-19032	167	16	data	datum	NOUN
bracis-19032	167	17	in	in	ADP
bracis-19032	167	18	h\(_1\	h\(_1\	NOUN
bracis-19032	167	19	)	)	PUNCT
bracis-19032	167	20	.	.	PUNCT
bracis-19032	168	1	virtually	virtually	ADV
bracis-19032	168	2	all	all	DET
bracis-19032	168	3	other	other	ADJ
bracis-19032	168	4	techniques	technique	NOUN
bracis-19032	168	5	tended	tend	VERB
bracis-19032	168	6	to	to	PART
bracis-19032	168	7	settle	settle	VERB
bracis-19032	168	8	on	on	ADP
bracis-19032	168	9	expected	expected	ADJ
bracis-19032	168	10	sub	sub	ADJ
bracis-19032	168	11	-	-	ADJ
bracis-19032	168	12	optimal	optimal	ADJ
bracis-19032	168	13	k	k	PROPN
bracis-19032	168	14	values	value	NOUN
bracis-19032	168	15	.	.	PUNCT
bracis-19032	169	1	contrastingly	contrastingly	ADV
bracis-19032	169	2	,	,	PUNCT
bracis-19032	169	3	in	in	ADP
bracis-19032	169	4	cases	case	NOUN
bracis-19032	169	5	where	where	SCONJ
bracis-19032	169	6	gadba	gadba	PROPN
bracis-19032	169	7	-	-	PUNCT
bracis-19032	169	8	mec	mec	PROPN
bracis-19032	169	9	did	do	AUX
bracis-19032	169	10	not	not	PART
bracis-19032	169	11	reach	reach	VERB
bracis-19032	169	12	the	the	DET
bracis-19032	169	13	highest	high	ADJ
bracis-19032	169	14	frequency	frequency	NOUN
bracis-19032	169	15	(	(	PUNCT
bracis-19032	169	16	i.e.	i.e.	X
bracis-19032	169	17	,	,	PUNCT
bracis-19032	169	18	dim-32	dim-32	NOUN
bracis-19032	169	19	,	,	PUNCT
bracis-19032	169	20	hepta	hepta	NOUN
bracis-19032	169	21	,	,	PUNCT
bracis-19032	169	22	and	and	CCONJ
bracis-19032	169	23	iris	iris	NOUN
bracis-19032	169	24	)	)	PUNCT
bracis-19032	169	25	,	,	PUNCT
bracis-19032	169	26	it	it	PRON
bracis-19032	169	27	at	at	ADV
bracis-19032	169	28	least	least	ADV
bracis-19032	169	29	approached	approach	VERB
bracis-19032	169	30	the	the	DET
bracis-19032	169	31	expected	expect	VERB
bracis-19032	169	32	result	result	NOUN
bracis-19032	169	33	in	in	ADP
bracis-19032	169	34	a	a	DET
bracis-19032	169	35	stable	stable	ADJ
bracis-19032	169	36	manner	manner	NOUN
bracis-19032	169	37	,	,	PUNCT
bracis-19032	169	38	unlike	unlike	ADP
bracis-19032	169	39	gadba	gadba	NOUN
bracis-19032	169	40	.	.	PUNCT
bracis-19032	170	1	for	for	ADP
bracis-19032	170	2	the	the	DET
bracis-19032	170	3	rest	rest	NOUN
bracis-19032	170	4	of	of	ADP
bracis-19032	170	5	the	the	DET
bracis-19032	170	6	algorithms	algorithm	NOUN
bracis-19032	170	7	,	,	PUNCT
bracis-19032	170	8	it	it	PRON
bracis-19032	170	9	should	should	AUX
bracis-19032	170	10	be	be	AUX
bracis-19032	170	11	noted	note	VERB
bracis-19032	170	12	that	that	SCONJ
bracis-19032	170	13	linkage	linkage	NOUN
bracis-19032	170	14	is	be	AUX
bracis-19032	170	15	deterministic	deterministic	ADJ
bracis-19032	170	16	,	,	PUNCT
bracis-19032	170	17	so	so	CCONJ
bracis-19032	170	18	its	its	PRON
bracis-19032	170	19	null	null	ADJ
bracis-19032	170	20	standard	standard	ADJ
bracis-19032	170	21	deviation	deviation	NOUN
bracis-19032	170	22	is	be	AUX
bracis-19032	170	23	expected	expect	VERB
bracis-19032	170	24	.	.	PUNCT
bracis-19032	171	1	it	it	PRON
bracis-19032	171	2	was	be	AUX
bracis-19032	171	3	the	the	DET
bracis-19032	171	4	second	second	ADJ
bracis-19032	171	5	best	good	ADJ
bracis-19032	171	6	in	in	ADP
bracis-19032	171	7	finding	find	VERB
bracis-19032	171	8	\(k_{opt}\	\(k_{opt}\	NOUN
bracis-19032	171	9	)	)	PUNCT
bracis-19032	171	10	,	,	PUNCT
bracis-19032	171	11	although	although	SCONJ
bracis-19032	171	12	it	it	PRON
bracis-19032	171	13	failed	fail	VERB
bracis-19032	171	14	to	to	PART
bracis-19032	171	15	assess	assess	VERB
bracis-19032	171	16	clustering	cluster	VERB
bracis-19032	171	17	tendency	tendency	NOUN
bracis-19032	171	18	.	.	PUNCT
bracis-19032	172	1	in	in	ADP
bracis-19032	172	2	this	this	DET
bracis-19032	172	3	regard	regard	NOUN
bracis-19032	172	4	,	,	PUNCT
bracis-19032	172	5	only	only	ADV
bracis-19032	172	6	gadba	gadba	PROPN
bracis-19032	172	7	-	-	PUNCT
bracis-19032	172	8	mec	mec	PROPN
bracis-19032	172	9	determined	determine	VERB
bracis-19032	172	10	that	that	SCONJ
bracis-19032	172	11	\(\hat{k	\(\hat{k	NOUN
bracis-19032	172	12	}	}	PUNCT
bracis-19032	172	13	=	=	SYM
bracis-19032	172	14	1\	1\	NUM
bracis-19032	172	15	)	)	PUNCT
bracis-19032	172	16	in	in	ADP
bracis-19032	172	17	golfball	golfball	NOUN
bracis-19032	172	18	and	and	CCONJ
bracis-19032	172	19	one	one	NUM
bracis-19032	172	20	-	-	PUNCT
bracis-19032	172	21	g.	g.	NOUN
bracis-19032	172	22	4.3	4.3	NUM
bracis-19032	172	23	statistical	statistical	ADJ
bracis-19032	172	24	significance	significance	NOUN
bracis-19032	172	25	analyses	analyse	VERB
bracis-19032	172	26	friedman	friedman	PROPN
bracis-19032	172	27	’s	’s	PART
bracis-19032	172	28	test	test	NOUN
bracis-19032	172	29	is	be	AUX
bracis-19032	172	30	a	a	DET
bracis-19032	172	31	non	non	ADJ
bracis-19032	172	32	-	-	ADJ
bracis-19032	172	33	parametric	parametric	ADJ
bracis-19032	172	34	statistical	statistical	ADJ
bracis-19032	172	35	test	test	NOUN
bracis-19032	172	36	analogue	analogue	NOUN
bracis-19032	172	37	to	to	ADP
bracis-19032	172	38	the	the	DET
bracis-19032	172	39	two	two	NUM
bracis-19032	172	40	-	-	PUNCT
bracis-19032	172	41	way	way	NOUN
bracis-19032	172	42	anova	anova	X
bracis-19032	172	43	(	(	PUNCT
bracis-19032	172	44	analysis	analysis	NOUN
bracis-19032	172	45	of	of	ADP
bracis-19032	172	46	variance	variance	NOUN
bracis-19032	172	47	)	)	PUNCT
bracis-19032	173	1	[	[	X
bracis-19032	173	2	1	1	NUM
bracis-19032	173	3	,	,	PUNCT
bracis-19032	173	4	16	16	NUM
bracis-19032	173	5	]	]	PUNCT
bracis-19032	173	6	.	.	PUNCT
bracis-19032	174	1	this	this	DET
bracis-19032	174	2	statistical	statistical	ADJ
bracis-19032	174	3	test	test	NOUN
bracis-19032	174	4	is	be	AUX
bracis-19032	174	5	used	use	VERB
bracis-19032	174	6	to	to	PART
bracis-19032	174	7	determine	determine	VERB
bracis-19032	174	8	whether	whether	SCONJ
bracis-19032	174	9	there	there	PRON
bracis-19032	174	10	are	be	VERB
bracis-19032	174	11	any	any	DET
bracis-19032	174	12	statistically	statistically	ADV
bracis-19032	174	13	significant	significant	ADJ
bracis-19032	174	14	differences	difference	NOUN
bracis-19032	174	15	among	among	ADP
bracis-19032	174	16	algorithms	algorithms	NOUN
bracis-19032	174	17	from	from	ADP
bracis-19032	174	18	sample	sample	NOUN
bracis-19032	174	19	evidences	evidence	NOUN
bracis-19032	174	20	.	.	PUNCT
bracis-19032	175	1	the	the	DET
bracis-19032	175	2	samples	sample	NOUN
bracis-19032	175	3	to	to	PART
bracis-19032	175	4	be	be	AUX
bracis-19032	175	5	considered	consider	VERB
bracis-19032	175	6	are	be	AUX
bracis-19032	175	7	clustering	cluster	VERB
bracis-19032	175	8	algorithm	algorithm	NOUN
bracis-19032	175	9	performance	performance	NOUN
bracis-19032	175	10	results	result	NOUN
bracis-19032	175	11	collected	collect	VERB
bracis-19032	175	12	over	over	ADP
bracis-19032	175	13	the	the	DET
bracis-19032	175	14	data	data	NOUN
bracis-19032	175	15	sets	set	NOUN
bracis-19032	175	16	,	,	PUNCT
bracis-19032	175	17	where	where	SCONJ
bracis-19032	175	18	the	the	DET
bracis-19032	175	19	null	null	ADJ
bracis-19032	175	20	hypothesis	hypothesis	NOUN
bracis-19032	175	21	\(h_0\	\(h_0\	PROPN
bracis-19032	175	22	)	)	PUNCT
bracis-19032	175	23	,	,	PUNCT
bracis-19032	175	24	to	to	PART
bracis-19032	175	25	be	be	AUX
bracis-19032	175	26	considered	consider	VERB
bracis-19032	175	27	is	be	AUX
bracis-19032	175	28	that	that	SCONJ
bracis-19032	175	29	all	all	DET
bracis-19032	175	30	algorithms	algorithm	NOUN
bracis-19032	175	31	obtained	obtain	VERB
bracis-19032	175	32	similar	similar	ADJ
bracis-19032	175	33	results	result	NOUN
bracis-19032	175	34	.	.	PUNCT
bracis-19032	176	1	friedman	friedman	PROPN
bracis-19032	176	2	’s	’s	PART
bracis-19032	176	3	test	test	NOUN
bracis-19032	176	4	converts	convert	VERB
bracis-19032	176	5	all	all	DET
bracis-19032	176	6	results	result	NOUN
bracis-19032	176	7	to	to	PART
bracis-19032	176	8	ranks	rank	NOUN
bracis-19032	176	9	where	where	SCONJ
bracis-19032	176	10	all	all	DET
bracis-19032	176	11	algorithms	algorithm	NOUN
bracis-19032	176	12	are	be	AUX
bracis-19032	176	13	classified	classify	VERB
bracis-19032	176	14	for	for	ADP
bracis-19032	176	15	each	each	DET
bracis-19032	176	16	problem	problem	NOUN
bracis-19032	176	17	according	accord	VERB
bracis-19032	176	18	to	to	ADP
bracis-19032	176	19	its	its	PRON
bracis-19032	176	20	performance	performance	NOUN
bracis-19032	176	21	.	.	PUNCT
bracis-19032	177	1	as	as	ADP
bracis-19032	177	2	such	such	ADJ
bracis-19032	177	3	,	,	PUNCT
bracis-19032	177	4	p	p	X
bracis-19032	177	5	-	-	PUNCT
bracis-19032	177	6	values	value	NOUN
bracis-19032	177	7	can	can	AUX
bracis-19032	177	8	be	be	AUX
bracis-19032	177	9	computed	compute	VERB
bracis-19032	177	10	for	for	ADP
bracis-19032	177	11	hypothesis	hypothesis	NOUN
bracis-19032	177	12	testing	testing	NOUN
bracis-19032	177	13	.	.	PUNCT
bracis-19032	178	1	the	the	DET
bracis-19032	178	2	p	p	NOUN
bracis-19032	178	3	-	-	PUNCT
bracis-19032	178	4	value	value	NOUN
bracis-19032	178	5	represents	represent	VERB
bracis-19032	178	6	the	the	DET
bracis-19032	178	7	probability	probability	NOUN
bracis-19032	178	8	of	of	ADP
bracis-19032	178	9	obtaining	obtain	VERB
bracis-19032	178	10	a	a	DET
bracis-19032	178	11	result	result	NOUN
bracis-19032	178	12	as	as	ADV
bracis-19032	178	13	extreme	extreme	ADJ
bracis-19032	178	14	as	as	SCONJ
bracis-19032	178	15	the	the	DET
bracis-19032	178	16	one	one	NUM
bracis-19032	178	17	observed	observe	VERB
bracis-19032	178	18	,	,	PUNCT
bracis-19032	178	19	given	give	VERB
bracis-19032	178	20	\(h_0\	\(h_0\	NOUN
bracis-19032	178	21	)	)	PUNCT
bracis-19032	179	1	[	[	X
bracis-19032	179	2	7	7	NUM
bracis-19032	179	3	]	]	PUNCT
bracis-19032	179	4	.	.	PUNCT
bracis-19032	180	1	specifically	specifically	ADV
bracis-19032	180	2	,	,	PUNCT
bracis-19032	180	3	given	give	VERB
bracis-19032	180	4	the	the	DET
bracis-19032	180	5	significance	significance	NOUN
bracis-19032	180	6	level	level	NOUN
bracis-19032	180	7	\(\alpha	\(\alpha	NOUN
bracis-19032	180	8	=	=	SYM
bracis-19032	180	9	0.05\	0.05\	NUM
bracis-19032	180	10	)	)	PUNCT
bracis-19032	180	11	,	,	PUNCT
bracis-19032	180	12	the	the	DET
bracis-19032	180	13	null	null	ADJ
bracis-19032	180	14	hypothesis	hypothesis	NOUN
bracis-19032	180	15	is	be	AUX
bracis-19032	180	16	rejected	reject	VERB
bracis-19032	180	17	if	if	SCONJ
bracis-19032	180	18	\(p	\(p	PROPN
bracis-19032	180	19	<	<	X
bracis-19032	180	20	\alpha	\alpha	ADJ
bracis-19032	180	21	\	\	PROPN
bracis-19032	180	22	)	)	PUNCT
bracis-19032	180	23	.	.	PUNCT
bracis-19032	181	1	table	table	NOUN
bracis-19032	181	2	3	3	NUM
bracis-19032	181	3	.	.	X
bracis-19032	181	4	mape	mape	NOUN
bracis-19032	181	5	(	(	PUNCT
bracis-19032	181	6	%	%	INTJ
bracis-19032	181	7	)	)	PUNCT
bracis-19032	181	8	taken	take	VERB
bracis-19032	181	9	from	from	ADP
bracis-19032	181	10	the	the	DET
bracis-19032	181	11	data	data	NOUN
bracis-19032	181	12	sets	set	NOUN
bracis-19032	181	13	with	with	ADP
bracis-19032	181	14	emphasis	emphasis	NOUN
bracis-19032	181	15	on	on	ADP
bracis-19032	181	16	values	value	NOUN
bracis-19032	181	17	above	above	ADP
bracis-19032	181	18	100%.full	100%.full	NUM
bracis-19032	181	19	size	size	NOUN
bracis-19032	181	20	table	table	NOUN
bracis-19032	181	21	table	table	NOUN
bracis-19032	181	22	4	4	NUM
bracis-19032	181	23	.	.	PUNCT
bracis-19032	182	1	friedman	friedman	PROPN
bracis-19032	182	2	’s	’s	PART
bracis-19032	182	3	test	test	NOUN
bracis-19032	182	4	on	on	ADP
bracis-19032	182	5	the	the	DET
bracis-19032	182	6	data	datum	NOUN
bracis-19032	182	7	set	set	VERB
bracis-19032	182	8	results.full	results.full	NOUN
bracis-19032	182	9	size	size	NOUN
bracis-19032	182	10	table	table	NOUN
bracis-19032	182	11	table	table	NOUN
bracis-19032	182	12	5	5	NUM
bracis-19032	182	13	.	.	PUNCT
bracis-19032	183	1	friedman	friedman	PROPN
bracis-19032	183	2	’s	’s	PART
bracis-19032	183	3	post	post	ADJ
bracis-19032	183	4	-	-	ADJ
bracis-19032	183	5	hoc	hoc	ADJ
bracis-19032	183	6	pairwise	pairwise	NOUN
bracis-19032	183	7	comparisons	comparison	NOUN
bracis-19032	183	8	on	on	ADP
bracis-19032	183	9	the	the	DET
bracis-19032	183	10	data	datum	NOUN
bracis-19032	183	11	set	set	VERB
bracis-19032	183	12	results	result	NOUN
bracis-19032	183	13	,	,	PUNCT
bracis-19032	183	14	with	with	ADP
bracis-19032	183	15	emphasis	emphasis	NOUN
bracis-19032	183	16	on	on	ADP
bracis-19032	183	17	significant	significant	ADJ
bracis-19032	183	18	comparisons.full	comparisons.full	NOUN
bracis-19032	183	19	size	size	NOUN
bracis-19032	183	20	table	table	NOUN
bracis-19032	183	21	since	since	SCONJ
bracis-19032	183	22	we	we	PRON
bracis-19032	183	23	want	want	VERB
bracis-19032	183	24	to	to	PART
bracis-19032	183	25	know	know	VERB
bracis-19032	183	26	which	which	DET
bracis-19032	183	27	algorithms	algorithm	NOUN
bracis-19032	183	28	are	be	AUX
bracis-19032	183	29	significantly	significantly	ADV
bracis-19032	183	30	different	different	ADJ
bracis-19032	183	31	from	from	ADP
bracis-19032	183	32	each	each	DET
bracis-19032	183	33	other	other	ADJ
bracis-19032	183	34	when	when	SCONJ
bracis-19032	183	35	\(h_0\	\(h_0\	PROPN
bracis-19032	183	36	)	)	PUNCT
bracis-19032	183	37	is	be	AUX
bracis-19032	183	38	rejected	reject	VERB
bracis-19032	183	39	,	,	PUNCT
bracis-19032	183	40	a	a	DET
bracis-19032	183	41	post	post	ADJ
bracis-19032	183	42	-	-	ADJ
bracis-19032	183	43	hoc	hoc	ADJ
bracis-19032	183	44	procedure	procedure	NOUN
bracis-19032	183	45	is	be	AUX
bracis-19032	183	46	necessary	necessary	ADJ
bracis-19032	183	47	to	to	PART
bracis-19032	183	48	compare	compare	VERB
bracis-19032	183	49	all	all	DET
bracis-19032	183	50	possible	possible	ADJ
bracis-19032	183	51	algorithm	algorithm	NOUN
bracis-19032	183	52	pairs	pair	NOUN
bracis-19032	183	53	.	.	PUNCT
bracis-19032	184	1	in	in	ADP
bracis-19032	184	2	this	this	DET
bracis-19032	184	3	work	work	NOUN
bracis-19032	184	4	,	,	PUNCT
bracis-19032	184	5	the	the	DET
bracis-19032	184	6	procedure	procedure	NOUN
bracis-19032	184	7	presented	present	VERB
bracis-19032	184	8	in	in	ADP
bracis-19032	184	9	[	[	X
bracis-19032	184	10	16	16	NUM
bracis-19032	184	11	]	]	PUNCT
bracis-19032	184	12	is	be	AUX
bracis-19032	184	13	employed	employ	VERB
bracis-19032	184	14	,	,	PUNCT
bracis-19032	184	15	in	in	ADP
bracis-19032	184	16	which	which	PRON
bracis-19032	184	17	the	the	DET
bracis-19032	184	18	means	mean	NOUN
bracis-19032	184	19	of	of	ADP
bracis-19032	184	20	critical	critical	ADJ
bracis-19032	184	21	values	value	NOUN
bracis-19032	184	22	at	at	ADP
bracis-19032	184	23	\(\alpha	\(\alpha	NOUN
bracis-19032	184	24	\	\	NOUN
bracis-19032	184	25	)	)	PUNCT
bracis-19032	184	26	are	be	AUX
bracis-19032	184	27	compared	compare	VERB
bracis-19032	184	28	to	to	ADP
bracis-19032	184	29	each	each	DET
bracis-19032	184	30	absolute	absolute	ADJ
bracis-19032	184	31	difference	difference	NOUN
bracis-19032	184	32	on	on	ADP
bracis-19032	184	33	mean	mean	NOUN
bracis-19032	184	34	ranks	rank	NOUN
bracis-19032	184	35	as	as	ADP
bracis-19032	184	36	,	,	PUNCT
bracis-19032	184	37	\(i	\(i	NOUN
bracis-19032	184	38	\ne	\ne	PROPN
bracis-19032	184	39	j\	j\	PROPN
bracis-19032	184	40	)	)	PUNCT
bracis-19032	184	41	.	.	PUNCT
bracis-19032	185	1	the	the	DET
bracis-19032	185	2	absolute	absolute	ADJ
bracis-19032	185	3	difference	difference	NOUN
bracis-19032	185	4	must	must	AUX
bracis-19032	185	5	be	be	AUX
bracis-19032	185	6	greater	great	ADJ
bracis-19032	185	7	than	than	ADP
bracis-19032	185	8	\(\alpha	\(\alpha	NOUN
bracis-19032	185	9	\	\	NOUN
bracis-19032	185	10	)	)	PUNCT
bracis-19032	185	11	to	to	PART
bracis-19032	185	12	determine	determine	VERB
bracis-19032	185	13	statistical	statistical	ADJ
bracis-19032	185	14	significance	significance	NOUN
bracis-19032	185	15	.	.	PUNCT
bracis-19032	186	1	in	in	ADP
bracis-19032	186	2	this	this	DET
bracis-19032	186	3	section	section	NOUN
bracis-19032	186	4	,	,	PUNCT
bracis-19032	186	5	we	we	PRON
bracis-19032	186	6	verify	verify	VERB
bracis-19032	186	7	the	the	DET
bracis-19032	186	8	significance	significance	NOUN
bracis-19032	186	9	of	of	ADP
bracis-19032	186	10	gadba	gadba	PROPN
bracis-19032	186	11	-	-	PUNCT
bracis-19032	186	12	mec	mec	PROPN
bracis-19032	186	13	using	use	VERB
bracis-19032	186	14	the	the	DET
bracis-19032	186	15	friedman	friedman	NOUN
bracis-19032	186	16	’s	’s	PART
bracis-19032	186	17	test	test	PROPN
bracis-19032	186	18	f.	f.	PROPN
bracis-19032	186	19	for	for	ADP
bracis-19032	186	20	this	this	DET
bracis-19032	186	21	purpose	purpose	NOUN
bracis-19032	186	22	,	,	PUNCT
bracis-19032	186	23	we	we	PRON
bracis-19032	186	24	calculate	calculate	VERB
bracis-19032	186	25	the	the	DET
bracis-19032	186	26	mape	mape	NOUN
bracis-19032	186	27	of	of	ADP
bracis-19032	186	28	each	each	DET
bracis-19032	186	29	data	datum	NOUN
bracis-19032	186	30	set	set	VERB
bracis-19032	186	31	.	.	PUNCT
bracis-19032	187	1	once	once	SCONJ
bracis-19032	187	2	the	the	DET
bracis-19032	187	3	algorithm	algorithm	NOUN
bracis-19032	187	4	with	with	ADP
bracis-19032	187	5	the	the	DET
bracis-19032	187	6	smallest	small	ADJ
bracis-19032	187	7	error	error	NOUN
bracis-19032	187	8	is	be	AUX
bracis-19032	187	9	determined	determine	VERB
bracis-19032	187	10	,	,	PUNCT
bracis-19032	187	11	the	the	DET
bracis-19032	187	12	statistical	statistical	ADJ
bracis-19032	187	13	significance	significance	NOUN
bracis-19032	187	14	test	test	NOUN
bracis-19032	187	15	is	be	AUX
bracis-19032	187	16	applied	apply	VERB
bracis-19032	187	17	to	to	PART
bracis-19032	187	18	verify	verify	VERB
bracis-19032	187	19	if	if	SCONJ
bracis-19032	187	20	the	the	DET
bracis-19032	187	21	obtained	obtain	VERB
bracis-19032	187	22	difference	difference	NOUN
bracis-19032	187	23	is	be	AUX
bracis-19032	187	24	substantial	substantial	ADJ
bracis-19032	187	25	.	.	PUNCT
bracis-19032	188	1	if	if	SCONJ
bracis-19032	188	2	this	this	PRON
bracis-19032	188	3	is	be	AUX
bracis-19032	188	4	the	the	DET
bracis-19032	188	5	case	case	NOUN
bracis-19032	188	6	,	,	PUNCT
bracis-19032	188	7	one	one	PRON
bracis-19032	188	8	can	can	AUX
bracis-19032	188	9	justify	justify	VERB
bracis-19032	188	10	using	use	VERB
bracis-19032	188	11	one	one	NUM
bracis-19032	188	12	algorithm	algorithm	NOUN
bracis-19032	188	13	instead	instead	ADV
bracis-19032	188	14	of	of	ADP
bracis-19032	188	15	another	another	PRON
bracis-19032	188	16	with	with	ADP
bracis-19032	188	17	more	more	ADJ
bracis-19032	188	18	confidence	confidence	NOUN
bracis-19032	188	19	.	.	PUNCT
bracis-19032	189	1	table	table	NOUN
bracis-19032	189	2	 	 	SPACE
bracis-19032	189	3	3	3	NUM
bracis-19032	189	4	summarizes	summarize	NOUN
bracis-19032	189	5	mape	mape	NOUN
bracis-19032	189	6	per	per	ADP
bracis-19032	189	7	data	datum	NOUN
bracis-19032	189	8	set	set	VERB
bracis-19032	189	9	emphasizing	emphasize	VERB
bracis-19032	189	10	values	value	NOUN
bracis-19032	189	11	above	above	ADP
bracis-19032	189	12	100	100	NUM
bracis-19032	189	13	%	%	NOUN
bracis-19032	189	14	.	.	PUNCT
bracis-19032	190	1	all	all	DET
bracis-19032	190	2	algorithms	algorithm	NOUN
bracis-19032	190	3	had	have	VERB
bracis-19032	190	4	error	error	NOUN
bracis-19032	190	5	rates	rate	NOUN
bracis-19032	190	6	above	above	ADP
bracis-19032	190	7	100	100	NUM
bracis-19032	190	8	%	%	NOUN
bracis-19032	190	9	,	,	PUNCT
bracis-19032	190	10	except	except	SCONJ
bracis-19032	190	11	gadba	gadba	PROPN
bracis-19032	190	12	-	-	PUNCT
bracis-19032	190	13	mec	mec	PROPN
bracis-19032	190	14	with	with	ADP
bracis-19032	190	15	the	the	DET
bracis-19032	190	16	lowest	low	ADJ
bracis-19032	190	17	overall	overall	ADJ
bracis-19032	190	18	value	value	NOUN
bracis-19032	190	19	(	(	PUNCT
bracis-19032	190	20	4.99	4.99	NUM
bracis-19032	190	21	%	%	NOUN
bracis-19032	190	22	)	)	PUNCT
bracis-19032	190	23	.	.	PUNCT
bracis-19032	191	1	table	table	NOUN
bracis-19032	191	2	 	 	SPACE
bracis-19032	191	3	4	4	NUM
bracis-19032	191	4	focuses	focus	VERB
bracis-19032	191	5	on	on	ADP
bracis-19032	191	6	these	these	DET
bracis-19032	191	7	errors	error	NOUN
bracis-19032	191	8	,	,	PUNCT
bracis-19032	191	9	for	for	ADP
bracis-19032	191	10	which	which	PRON
bracis-19032	191	11	the	the	DET
bracis-19032	191	12	friedman	friedman	NOUN
bracis-19032	191	13	’s	’s	PART
bracis-19032	191	14	test	test	NOUN
bracis-19032	191	15	rejects	reject	VERB
bracis-19032	191	16	the	the	DET
bracis-19032	191	17	null	null	ADJ
bracis-19032	191	18	hypothesis	hypothesis	NOUN
bracis-19032	191	19	for	for	ADP
bracis-19032	191	20	an	an	DET
bracis-19032	191	21	obtained	obtain	VERB
bracis-19032	191	22	p	p	NOUN
bracis-19032	191	23	-	-	PUNCT
bracis-19032	191	24	value	value	NOUN
bracis-19032	191	25	\(\ll	\(\ll	PROPN
bracis-19032	191	26	\alpha	\alpha	ADP
bracis-19032	191	27	=	=	ADJ
bracis-19032	191	28	0.05\	0.05\	PROPN
bracis-19032	191	29	)	)	PUNCT
bracis-19032	191	30	.	.	PUNCT
bracis-19032	192	1	accordingly	accordingly	ADV
bracis-19032	192	2	,	,	PUNCT
bracis-19032	192	3	friedman	friedman	PROPN
bracis-19032	192	4	’s	’s	PART
bracis-19032	192	5	post	post	ADJ
bracis-19032	192	6	-	-	ADJ
bracis-19032	192	7	hoc	hoc	ADJ
bracis-19032	192	8	test	test	NOUN
bracis-19032	192	9	shows	show	VERB
bracis-19032	192	10	that	that	SCONJ
bracis-19032	192	11	there	there	PRON
bracis-19032	192	12	are	be	VERB
bracis-19032	192	13	significant	significant	ADJ
bracis-19032	192	14	improvements	improvement	NOUN
bracis-19032	192	15	of	of	ADP
bracis-19032	192	16	the	the	DET
bracis-19032	192	17	proposed	propose	VERB
bracis-19032	192	18	version	version	NOUN
bracis-19032	192	19	in	in	ADP
bracis-19032	192	20	terms	term	NOUN
bracis-19032	192	21	of	of	ADP
bracis-19032	192	22	mape	mape	NOUN
bracis-19032	192	23	(	(	PUNCT
bracis-19032	192	24	table	table	NOUN
bracis-19032	192	25	 	 	SPACE
bracis-19032	192	26	5	5	NUM
bracis-19032	192	27	)	)	PUNCT
bracis-19032	192	28	,	,	PUNCT
bracis-19032	192	29	as	as	ADV
bracis-19032	192	30	well	well	ADV
bracis-19032	192	31	as	as	ADP
bracis-19032	192	32	the	the	DET
bracis-19032	192	33	fact	fact	NOUN
bracis-19032	192	34	that	that	SCONJ
bracis-19032	192	35	significant	significant	ADJ
bracis-19032	192	36	differences	difference	NOUN
bracis-19032	192	37	are	be	AUX
bracis-19032	192	38	shown	show	VERB
bracis-19032	192	39	in	in	ADP
bracis-19032	192	40	virtually	virtually	ADV
bracis-19032	192	41	all	all	PRON
bracis-19032	192	42	algorithm	algorithm	NOUN
bracis-19032	192	43	pairs	pair	NOUN
bracis-19032	192	44	.	.	PUNCT
bracis-19032	193	1	5	5	NUM
bracis-19032	193	2	conclusions	conclusion	NOUN
bracis-19032	193	3	and	and	CCONJ
bracis-19032	193	4	further	further	ADJ
bracis-19032	193	5	work	work	VERB
bracis-19032	193	6	genetic	genetic	NOUN
bracis-19032	193	7	-	-	PUNCT
bracis-19032	193	8	based	base	VERB
bracis-19032	193	9	clustering	clustering	ADJ
bracis-19032	193	10	approaches	approach	NOUN
bracis-19032	193	11	play	play	VERB
bracis-19032	193	12	an	an	DET
bracis-19032	193	13	important	important	ADJ
bracis-19032	193	14	role	role	NOUN
bracis-19032	193	15	in	in	ADP
bracis-19032	193	16	natural	natural	ADJ
bracis-19032	193	17	computing	computing	NOUN
bracis-19032	193	18	.	.	PUNCT
bracis-19032	194	1	in	in	ADP
bracis-19032	194	2	this	this	DET
bracis-19032	194	3	sense	sense	NOUN
bracis-19032	194	4	,	,	PUNCT
bracis-19032	194	5	gadba	gadba	PROPN
bracis-19032	194	6	was	be	AUX
bracis-19032	194	7	introduced	introduce	VERB
bracis-19032	194	8	as	as	ADP
bracis-19032	194	9	an	an	DET
bracis-19032	194	10	efficient	efficient	ADJ
bracis-19032	194	11	,	,	PUNCT
bracis-19032	194	12	bioinspired	bioinspired	ADJ
bracis-19032	194	13	approach	approach	NOUN
bracis-19032	194	14	to	to	ADP
bracis-19032	194	15	cluster	cluster	NOUN
bracis-19032	194	16	data	datum	NOUN
bracis-19032	194	17	in	in	ADP
bracis-19032	194	18	shm	shm	NOUN
bracis-19032	194	19	.	.	PUNCT
bracis-19032	195	1	despite	despite	SCONJ
bracis-19032	195	2	its	its	PRON
bracis-19032	195	3	competitive	competitive	ADJ
bracis-19032	195	4	performance	performance	NOUN
bracis-19032	195	5	identifying	identify	VERB
bracis-19032	195	6	structural	structural	ADJ
bracis-19032	195	7	components	component	NOUN
bracis-19032	195	8	,	,	PUNCT
bracis-19032	195	9	it	it	PRON
bracis-19032	195	10	produces	produce	VERB
bracis-19032	195	11	poor	poor	ADJ
bracis-19032	195	12	results	result	NOUN
bracis-19032	195	13	on	on	ADP
bracis-19032	195	14	more	more	ADV
bracis-19032	195	15	general	general	ADJ
bracis-19032	195	16	clustering	clustering	ADJ
bracis-19032	195	17	scenarios	scenario	NOUN
bracis-19032	195	18	.	.	PUNCT
bracis-19032	196	1	for	for	ADP
bracis-19032	196	2	this	this	DET
bracis-19032	196	3	reason	reason	NOUN
bracis-19032	196	4	,	,	PUNCT
bracis-19032	196	5	this	this	DET
bracis-19032	196	6	study	study	NOUN
bracis-19032	196	7	proposed	propose	VERB
bracis-19032	196	8	the	the	DET
bracis-19032	196	9	replacement	replacement	NOUN
bracis-19032	196	10	of	of	ADP
bracis-19032	196	11	its	its	PRON
bracis-19032	196	12	objective	objective	ADJ
bracis-19032	196	13	function	function	NOUN
bracis-19032	196	14	for	for	ADP
bracis-19032	196	15	mec	mec	PROPN
bracis-19032	196	16	,	,	PUNCT
bracis-19032	196	17	a	a	DET
bracis-19032	196	18	recently	recently	ADV
bracis-19032	196	19	developed	develop	VERB
bracis-19032	196	20	cvi	cvi	PROPN
bracis-19032	196	21	based	base	VERB
bracis-19032	196	22	on	on	ADP
bracis-19032	196	23	mutual	mutual	ADJ
bracis-19032	196	24	equidistant	equidistant	ADV
bracis-19032	196	25	-	-	PUNCT
bracis-19032	196	26	scattering	scatter	VERB
bracis-19032	196	27	analysis	analysis	NOUN
bracis-19032	196	28	.	.	PUNCT
bracis-19032	197	1	gadba	gadba	ADJ
bracis-19032	197	2	-	-	PUNCT
bracis-19032	197	3	mec	mec	PROPN
bracis-19032	197	4	outperforms	outperform	NOUN
bracis-19032	197	5	conventional	conventional	ADJ
bracis-19032	197	6	clustering	clustering	ADJ
bracis-19032	197	7	algorithms	algorithms	NOUN
bracis-19032	197	8	when	when	SCONJ
bracis-19032	197	9	statistically	statistically	ADV
bracis-19032	197	10	evaluated	evaluate	VERB
bracis-19032	197	11	across	across	ADP
bracis-19032	197	12	various	various	ADJ
bracis-19032	197	13	data	datum	NOUN
bracis-19032	197	14	sets	set	NOUN
bracis-19032	197	15	,	,	PUNCT
bracis-19032	197	16	attaining	attain	VERB
bracis-19032	197	17	the	the	DET
bracis-19032	197	18	expected	expect	VERB
bracis-19032	197	19	number	number	NOUN
bracis-19032	197	20	of	of	ADP
bracis-19032	197	21	clusters	cluster	NOUN
bracis-19032	197	22	more	more	ADV
bracis-19032	197	23	often	often	ADV
bracis-19032	197	24	than	than	ADP
bracis-19032	197	25	others	other	NOUN
bracis-19032	197	26	.	.	PUNCT
bracis-19032	198	1	the	the	DET
bracis-19032	198	2	results	result	NOUN
bracis-19032	198	3	showed	show	VERB
bracis-19032	198	4	that	that	SCONJ
bracis-19032	198	5	gadba	gadba	PROPN
bracis-19032	198	6	-	-	PUNCT
bracis-19032	198	7	mec	mec	PROPN
bracis-19032	198	8	yielded	yield	VERB
bracis-19032	198	9	better	well	ADJ
bracis-19032	198	10	results	result	NOUN
bracis-19032	198	11	in	in	ADP
bracis-19032	198	12	terms	term	NOUN
bracis-19032	198	13	of	of	ADP
bracis-19032	198	14	cluster	cluster	NOUN
bracis-19032	198	15	validation	validation	NOUN
bracis-19032	198	16	and	and	CCONJ
bracis-19032	198	17	mape	mape	NOUN
bracis-19032	198	18	errors	error	NOUN
bracis-19032	198	19	,	,	PUNCT
bracis-19032	198	20	in	in	ADP
bracis-19032	198	21	particular	particular	ADJ
bracis-19032	198	22	when	when	SCONJ
bracis-19032	198	23	handling	handle	VERB
bracis-19032	198	24	hierarchical	hierarchical	ADJ
bracis-19032	198	25	data	datum	NOUN
bracis-19032	198	26	and	and	CCONJ
bracis-19032	198	27	data	datum	NOUN
bracis-19032	198	28	with	with	ADP
bracis-19032	198	29	low	low	ADJ
bracis-19032	198	30	separation	separation	NOUN
bracis-19032	198	31	.	.	PUNCT
bracis-19032	199	1	also	also	ADV
bracis-19032	199	2	,	,	PUNCT
bracis-19032	199	3	only	only	ADV
bracis-19032	199	4	gadba	gadba	PROPN
bracis-19032	199	5	-	-	PUNCT
bracis-19032	199	6	mec	mec	PROPN
bracis-19032	199	7	is	be	AUX
bracis-19032	199	8	able	able	ADJ
bracis-19032	199	9	to	to	PART
bracis-19032	199	10	verify	verify	VERB
bracis-19032	199	11	the	the	DET
bracis-19032	199	12	clustering	clustering	ADJ
bracis-19032	199	13	tendency	tendency	NOUN
bracis-19032	199	14	in	in	ADP
bracis-19032	199	15	the	the	DET
bracis-19032	199	16	data	data	NOUN
bracis-19032	199	17	sets	set	NOUN
bracis-19032	199	18	addressed	address	VERB
bracis-19032	199	19	.	.	PUNCT
bracis-19032	200	1	as	as	ADP
bracis-19032	200	2	future	future	ADJ
bracis-19032	200	3	work	work	NOUN
bracis-19032	200	4	,	,	PUNCT
bracis-19032	200	5	we	we	PRON
bracis-19032	200	6	intend	intend	VERB
bracis-19032	200	7	to	to	PART
bracis-19032	200	8	expand	expand	VERB
bracis-19032	200	9	gadba	gadba	ADJ
bracis-19032	200	10	-	-	PUNCT
bracis-19032	200	11	mec	mec	NOUN
bracis-19032	200	12	to	to	PART
bracis-19032	200	13	multi	multi	ADJ
bracis-19032	200	14	-	-	ADJ
bracis-19032	200	15	objective	objective	ADJ
bracis-19032	200	16	optimization	optimization	NOUN
bracis-19032	200	17	contexts	contexts	NOUN
bracis-19032	200	18	.	.	PUNCT
bracis-19032	201	1	it	it	PRON
bracis-19032	201	2	is	be	AUX
bracis-19032	201	3	also	also	ADV
bracis-19032	201	4	relevant	relevant	ADJ
bracis-19032	201	5	to	to	PART
bracis-19032	201	6	apply	apply	VERB
bracis-19032	201	7	gadba	gadba	ADJ
bracis-19032	201	8	-	-	PUNCT
bracis-19032	201	9	mec	mec	PROPN
bracis-19032	201	10	in	in	ADP
bracis-19032	201	11	real	real	ADJ
bracis-19032	201	12	-	-	PUNCT
bracis-19032	201	13	world	world	NOUN
bracis-19032	201	14	problems	problem	NOUN
bracis-19032	201	15	to	to	PART
bracis-19032	201	16	validate	validate	VERB
bracis-19032	201	17	its	its	PRON
bracis-19032	201	18	efficiency	efficiency	NOUN
bracis-19032	201	19	in	in	ADP
bracis-19032	201	20	finding	find	VERB
bracis-19032	201	21	natural	natural	ADJ
bracis-19032	201	22	clusters	cluster	NOUN
bracis-19032	201	23	.	.	PUNCT
bracis-19032	202	1	finally	finally	ADV
bracis-19032	202	2	,	,	PUNCT
bracis-19032	202	3	comparing	compare	VERB
bracis-19032	202	4	other	other	ADJ
bracis-19032	202	5	cvi	cvi	PROPN
bracis-19032	202	6	’s	’s	PART
bracis-19032	202	7	and	and	CCONJ
bracis-19032	202	8	bioinspired	bioinspired	ADJ
bracis-19032	202	9	algorithms	algorithm	NOUN
bracis-19032	202	10	would	would	AUX
bracis-19032	202	11	be	be	AUX
bracis-19032	202	12	pertinent	pertinent	ADJ
bracis-19032	202	13	as	as	ADV
bracis-19032	202	14	well	well	ADV
bracis-19032	202	15	.	.	PUNCT
bracis-19032	203	1	references	reference	NOUN
bracis-19032	203	2	alswaitti	alswaitti	NOUN
bracis-19032	203	3	,	,	PUNCT
bracis-19032	203	4	m.	m.	NOUN
bracis-19032	203	5	,	,	PUNCT
bracis-19032	203	6	albughdadi	albughdadi	NOUN
bracis-19032	203	7	,	,	PUNCT
bracis-19032	203	8	m.	m.	NOUN
bracis-19032	203	9	,	,	PUNCT
bracis-19032	203	10	isa	isa	PROPN
bracis-19032	203	11	,	,	PUNCT
bracis-19032	203	12	n.a.m	n.a.m	ADJ
bracis-19032	203	13	.	.	PUNCT
bracis-19032	203	14	:	:	PUNCT
bracis-19032	204	1	density	density	NOUN
bracis-19032	204	2	-	-	PUNCT
bracis-19032	204	3	based	base	VERB
bracis-19032	204	4	particle	particle	NOUN
bracis-19032	204	5	swarm	swarm	NOUN
bracis-19032	204	6	optimization	optimization	NOUN
bracis-19032	204	7	algorithm	algorithm	NOUN
bracis-19032	204	8	for	for	ADP
bracis-19032	204	9	data	datum	NOUN
bracis-19032	204	10	clustering	cluster	VERB
bracis-19032	204	11	.	.	PUNCT
bracis-19032	205	1	eswa	eswa	NOUN
bracis-19032	205	2	91	91	NUM
bracis-19032	205	3	,	,	PUNCT
bracis-19032	205	4	170–186	170–186	NUM
bracis-19032	205	5	(	(	PUNCT
bracis-19032	205	6	2018	2018	NUM
bracis-19032	205	7	)	)	PUNCT
bracis-19032	205	8	google	google	PROPN
bracis-19032	205	9	scholar	scholar	NOUN
bracis-19032	205	10	  	  	SPACE
bracis-19032	205	11	armano	armano	PROPN
bracis-19032	205	12	,	,	PUNCT
bracis-19032	205	13	g.	g.	PROPN
bracis-19032	205	14	,	,	PUNCT
bracis-19032	205	15	farmani	farmani	PROPN
bracis-19032	205	16	,	,	PUNCT
bracis-19032	205	17	m.r	m.r	PROPN
bracis-19032	205	18	.	.	PROPN
bracis-19032	205	19	:	:	PUNCT
bracis-19032	206	1	multiobjective	multiobjective	ADJ
bracis-19032	206	2	clustering	clustering	NOUN
bracis-19032	206	3	analysis	analysis	NOUN
bracis-19032	206	4	using	use	VERB
bracis-19032	206	5	particle	particle	NOUN
bracis-19032	206	6	swarm	swarm	NOUN
bracis-19032	206	7	optimization	optimization	NOUN
bracis-19032	206	8	.	.	PUNCT
bracis-19032	207	1	expert	expert	NOUN
bracis-19032	207	2	syst	syst	PROPN
bracis-19032	207	3	.	.	PUNCT
bracis-19032	208	1	appl	appl	PROPN
bracis-19032	208	2	.	.	PUNCT
bracis-19032	209	1	55	55	NUM
bracis-19032	209	2	,	,	PUNCT
bracis-19032	209	3	184–193	184–193	NUM
bracis-19032	209	4	(	(	PUNCT
bracis-19032	209	5	2016	2016	NUM
bracis-19032	209	6	)	)	PUNCT
bracis-19032	209	7	article	article	NOUN
bracis-19032	209	8	  	  	SPACE
bracis-19032	209	9	google	google	PROPN
bracis-19032	209	10	scholar	scholar	NOUN
bracis-19032	209	11	  	  	SPACE
bracis-19032	209	12	bayá	bayá	PROPN
bracis-19032	209	13	,	,	PUNCT
bracis-19032	209	14	a.e	a.e	PROPN
bracis-19032	209	15	.	.	PROPN
bracis-19032	209	16	,	,	PUNCT
bracis-19032	209	17	larese	larese	PROPN
bracis-19032	209	18	,	,	PUNCT
bracis-19032	209	19	m.g	m.g	PROPN
bracis-19032	209	20	.	.	PROPN
bracis-19032	209	21	,	,	PUNCT
bracis-19032	209	22	namías	namías	PROPN
bracis-19032	209	23	,	,	PUNCT
bracis-19032	209	24	r.	r.	PROPN
bracis-19032	209	25	:	:	PUNCT
bracis-19032	209	26	clustering	cluster	VERB
bracis-19032	209	27	stability	stability	NOUN
bracis-19032	209	28	for	for	ADP
bracis-19032	209	29	automated	automate	VERB
bracis-19032	209	30	color	color	NOUN
bracis-19032	209	31	image	image	NOUN
bracis-19032	209	32	segmentation	segmentation	NOUN
bracis-19032	209	33	.	.	PUNCT
bracis-19032	210	1	expert	expert	NOUN
bracis-19032	210	2	syst	syst	PROPN
bracis-19032	210	3	.	.	PUNCT
bracis-19032	211	1	appl	appl	PROPN
bracis-19032	211	2	.	.	PROPN
bracis-19032	212	1	86	86	NUM
bracis-19032	212	2	,	,	PUNCT
bracis-19032	212	3	258–273	258–273	NUM
bracis-19032	212	4	(	(	PUNCT
bracis-19032	212	5	2017	2017	NUM
bracis-19032	212	6	)	)	PUNCT
bracis-19032	212	7	article	article	NOUN
bracis-19032	212	8	  	  	SPACE
bracis-19032	212	9	google	google	PROPN
bracis-19032	212	10	scholar	scholar	NOUN
bracis-19032	212	11	  	  	SPACE
bracis-19032	212	12	bezdek	bezdek	PROPN
bracis-19032	212	13	,	,	PUNCT
bracis-19032	212	14	j.c	j.c	PROPN
bracis-19032	212	15	.	.	PROPN
bracis-19032	212	16	,	,	PUNCT
bracis-19032	212	17	pal	pal	NOUN
bracis-19032	212	18	,	,	PUNCT
bracis-19032	212	19	n.r	n.r	PROPN
bracis-19032	212	20	.	.	PROPN
bracis-19032	212	21	:	:	PUNCT
bracis-19032	213	1	some	some	DET
bracis-19032	213	2	new	new	ADJ
bracis-19032	213	3	indexes	index	NOUN
bracis-19032	213	4	of	of	ADP
bracis-19032	213	5	cluster	cluster	NOUN
bracis-19032	213	6	validity	validity	NOUN
bracis-19032	213	7	.	.	PUNCT
bracis-19032	214	1	tsmc	tsmc	PROPN
bracis-19032	214	2	-	-	PUNCT
bracis-19032	214	3	b	b	PROPN
bracis-19032	214	4	(	(	PUNCT
bracis-19032	214	5	1998	1998	NUM
bracis-19032	214	6	)	)	PUNCT
bracis-19032	214	7	google	google	PROPN
bracis-19032	214	8	scholar	scholar	NOUN
bracis-19032	214	9	  	  	SPACE
bracis-19032	214	10	campello	campello	PROPN
bracis-19032	214	11	,	,	PUNCT
bracis-19032	214	12	r.	r.	PROPN
bracis-19032	214	13	:	:	PUNCT
bracis-19032	214	14	generalized	generalize	VERB
bracis-19032	214	15	external	external	ADJ
bracis-19032	214	16	indexes	index	NOUN
bracis-19032	214	17	for	for	ADP
bracis-19032	214	18	comparing	compare	VERB
bracis-19032	214	19	data	datum	NOUN
bracis-19032	214	20	partitions	partition	NOUN
bracis-19032	214	21	with	with	ADP
bracis-19032	214	22	overlapping	overlap	VERB
bracis-19032	214	23	categories	category	NOUN
bracis-19032	214	24	.	.	PUNCT
bracis-19032	215	1	pattern	pattern	NOUN
bracis-19032	215	2	recogn	recogn	VERB
bracis-19032	215	3	.	.	PUNCT
bracis-19032	216	1	lett	lett	PROPN
bracis-19032	216	2	.	.	PUNCT
bracis-19032	217	1	31(9	31(9	NUM
bracis-19032	217	2	)	)	PUNCT
bracis-19032	217	3	,	,	PUNCT
bracis-19032	217	4	966–975	966–975	NUM
bracis-19032	217	5	(	(	PUNCT
bracis-19032	217	6	2010	2010	NUM
bracis-19032	217	7	)	)	PUNCT
bracis-19032	217	8	article	article	NOUN
bracis-19032	217	9	  	  	SPACE
bracis-19032	217	10	google	google	PROPN
bracis-19032	217	11	scholar	scholar	NOUN
bracis-19032	217	12	  	  	SPACE
bracis-19032	217	13	cremona	cremona	PROPN
bracis-19032	217	14	,	,	PUNCT
bracis-19032	217	15	c.	c.	NOUN
bracis-19032	217	16	:	:	PUNCT
bracis-19032	217	17	big	big	ADJ
bracis-19032	217	18	data	datum	NOUN
bracis-19032	217	19	and	and	CCONJ
bracis-19032	217	20	structural	structural	ADJ
bracis-19032	217	21	health	health	NOUN
bracis-19032	217	22	monitoring	monitoring	NOUN
bracis-19032	217	23	.	.	PUNCT
bracis-19032	218	1	in	in	ADP
bracis-19032	218	2	:	:	PUNCT
bracis-19032	218	3	challenges	challenge	NOUN
bracis-19032	218	4	in	in	ADP
bracis-19032	218	5	design	design	NOUN
bracis-19032	218	6	and	and	CCONJ
bracis-19032	218	7	construction	construction	NOUN
bracis-19032	218	8	of	of	ADP
bracis-19032	218	9	an	an	DET
bracis-19032	218	10	innovative	innovative	ADJ
bracis-19032	218	11	and	and	CCONJ
bracis-19032	218	12	sustainable	sustainable	ADJ
bracis-19032	218	13	built	build	VERB
bracis-19032	218	14	environment	environment	NOUN
bracis-19032	218	15	,	,	PUNCT
bracis-19032	218	16	19th	19th	ADJ
bracis-19032	218	17	iabse	iabse	PROPN
bracis-19032	218	18	congress	congress	PROPN
bracis-19032	218	19	stockholm	stockholm	PROPN
bracis-19032	218	20	,	,	PUNCT
bracis-19032	218	21	pp	pp	X
bracis-19032	218	22	.	.	PUNCT
bracis-19032	219	1	1793–1801	1793–1801	NUM
bracis-19032	219	2	,	,	PUNCT
bracis-19032	219	3	september	september	PROPN
bracis-19032	219	4	2016	2016	NUM
bracis-19032	219	5	google	google	PROPN
bracis-19032	219	6	scholar	scholar	NOUN
bracis-19032	219	7	  	  	SPACE
bracis-19032	219	8	daniel	daniel	PROPN
bracis-19032	219	9	,	,	PUNCT
bracis-19032	219	10	w.w	w.w	PROPN
bracis-19032	219	11	.	.	PROPN
bracis-19032	219	12	:	:	PUNCT
bracis-19032	219	13	applied	apply	VERB
bracis-19032	219	14	nonparametric	nonparametric	NOUN
bracis-19032	219	15	statistics	statistic	NOUN
bracis-19032	219	16	.	.	PUNCT
bracis-19032	220	1	pws	pws	PROPN
bracis-19032	220	2	-	-	PUNCT
bracis-19032	220	3	kent	kent	PROPN
bracis-19032	220	4	,	,	PUNCT
bracis-19032	220	5	usa	usa	PROPN
bracis-19032	220	6	(	(	PUNCT
bracis-19032	220	7	1990	1990	NUM
bracis-19032	220	8	)	)	PUNCT
bracis-19032	220	9	google	google	PROPN
bracis-19032	220	10	scholar	scholar	NOUN
bracis-19032	220	11	  	  	SPACE
bracis-19032	220	12	deb	deb	PROPN
bracis-19032	220	13	,	,	PUNCT
bracis-19032	220	14	k.	k.	PROPN
bracis-19032	220	15	,	,	PUNCT
bracis-19032	220	16	pratap	pratap	PROPN
bracis-19032	220	17	,	,	PUNCT
bracis-19032	220	18	a.	a.	PROPN
bracis-19032	220	19	,	,	PUNCT
bracis-19032	220	20	agarwal	agarwal	PROPN
bracis-19032	220	21	,	,	PUNCT
bracis-19032	220	22	s.	s.	PROPN
bracis-19032	220	23	,	,	PUNCT
bracis-19032	220	24	meyarivan	meyarivan	NOUN
bracis-19032	220	25	,	,	PUNCT
bracis-19032	220	26	t.	t.	PROPN
bracis-19032	220	27	:	:	PUNCT
bracis-19032	220	28	a	a	DET
bracis-19032	220	29	fast	fast	ADJ
bracis-19032	220	30	and	and	CCONJ
bracis-19032	220	31	elitist	elitist	ADJ
bracis-19032	220	32	multiobjective	multiobjective	ADJ
bracis-19032	220	33	genetic	genetic	ADJ
bracis-19032	220	34	algorithm	algorithm	NOUN
bracis-19032	220	35	:	:	PUNCT
bracis-19032	220	36	nsga	nsga	PROPN
bracis-19032	220	37	-	-	PUNCT
bracis-19032	220	38	ii	ii	PROPN
bracis-19032	220	39	.	.	PUNCT
bracis-19032	221	1	ieee	ieee	PROPN
bracis-19032	221	2	tec	tec	PROPN
bracis-19032	221	3	6(2	6(2	NUM
bracis-19032	221	4	)	)	PUNCT
bracis-19032	221	5	,	,	PUNCT
bracis-19032	222	1	182–197	182–197	NUM
bracis-19032	222	2	(	(	PUNCT
bracis-19032	222	3	2002	2002	NUM
bracis-19032	222	4	)	)	PUNCT
bracis-19032	222	5	google	google	PROPN
bracis-19032	222	6	scholar	scholar	NOUN
bracis-19032	222	7	  	  	SPACE
bracis-19032	222	8	diez	diez	PROPN
bracis-19032	222	9	,	,	PUNCT
bracis-19032	222	10	a.	a.	NOUN
bracis-19032	222	11	,	,	PUNCT
bracis-19032	222	12	khoa	khoa	NOUN
bracis-19032	222	13	,	,	PUNCT
bracis-19032	222	14	n.l.d	n.l.d	NOUN
bracis-19032	222	15	.	.	PROPN
bracis-19032	222	16	,	,	PUNCT
bracis-19032	222	17	makki	makki	PROPN
bracis-19032	222	18	alamdari	alamdari	PROPN
bracis-19032	222	19	,	,	PUNCT
bracis-19032	222	20	m.	m.	NOUN
bracis-19032	222	21	,	,	PUNCT
bracis-19032	222	22	wang	wang	PROPN
bracis-19032	222	23	,	,	PUNCT
bracis-19032	222	24	y.	y.	PROPN
bracis-19032	222	25	,	,	PUNCT
bracis-19032	222	26	chen	chen	PROPN
bracis-19032	222	27	,	,	PUNCT
bracis-19032	222	28	f.	f.	PROPN
bracis-19032	222	29	,	,	PUNCT
bracis-19032	222	30	runcie	runcie	ADV
bracis-19032	222	31	,	,	PUNCT
bracis-19032	222	32	p.	p.	NOUN
bracis-19032	222	33	:	:	PUNCT
bracis-19032	222	34	a	a	DET
bracis-19032	222	35	clustering	cluster	VERB
bracis-19032	222	36	approach	approach	NOUN
bracis-19032	222	37	for	for	ADP
bracis-19032	222	38	structural	structural	ADJ
bracis-19032	222	39	health	health	NOUN
bracis-19032	222	40	monitoring	monitoring	NOUN
bracis-19032	222	41	on	on	ADP
bracis-19032	222	42	bridges	bridge	NOUN
bracis-19032	222	43	.	.	PUNCT
bracis-19032	223	1	jcshm	jcshm	NOUN
bracis-19032	223	2	(	(	PUNCT
bracis-19032	223	3	2016	2016	NUM
bracis-19032	223	4	)	)	PUNCT
bracis-19032	223	5	google	google	PROPN
bracis-19032	223	6	scholar	scholar	NOUN
bracis-19032	223	7	  	  	SPACE
bracis-19032	223	8	dziopa	dziopa	PROPN
bracis-19032	223	9	,	,	PUNCT
bracis-19032	223	10	t.	t.	PROPN
bracis-19032	223	11	:	:	PUNCT
bracis-19032	223	12	clustering	cluster	VERB
bracis-19032	223	13	validity	validity	NOUN
bracis-19032	223	14	indices	indice	VERB
bracis-19032	223	15	evaluation	evaluation	NOUN
bracis-19032	223	16	with	with	ADP
bracis-19032	223	17	regard	regard	NOUN
bracis-19032	223	18	to	to	ADP
bracis-19032	223	19	semantic	semantic	ADJ
bracis-19032	223	20	homogeneity	homogeneity	NOUN
bracis-19032	223	21	.	.	PUNCT
bracis-19032	224	1	in	in	ADP
bracis-19032	224	2	:	:	PUNCT
bracis-19032	224	3	fedcsis	fedcsis	NOUN
bracis-19032	224	4	2016	2016	NUM
bracis-19032	224	5	,	,	PUNCT
bracis-19032	224	6	gdańsk	gdańsk	NOUN
bracis-19032	224	7	,	,	PUNCT
bracis-19032	224	8	poland	poland	PROPN
bracis-19032	224	9	,	,	PUNCT
bracis-19032	224	10	11–14	11–14	NUM
bracis-19032	224	11	september	september	PROPN
bracis-19032	224	12	2016	2016	NUM
bracis-19032	224	13	,	,	PUNCT
bracis-19032	224	14	pp	pp	ADV
bracis-19032	224	15	.	.	PUNCT
bracis-19032	225	1	3–9	3–9	NUM
bracis-19032	225	2	(	(	PUNCT
bracis-19032	225	3	2016	2016	NUM
bracis-19032	225	4	)	)	PUNCT
bracis-19032	225	5	google	google	PROPN
bracis-19032	225	6	scholar	scholar	NOUN
bracis-19032	225	7	  	  	SPACE
bracis-19032	225	8	esfandian	esfandian	NOUN
bracis-19032	225	9	,	,	PUNCT
bracis-19032	225	10	n.	n.	NOUN
bracis-19032	225	11	,	,	PUNCT
bracis-19032	225	12	razzazi	razzazi	PROPN
bracis-19032	225	13	,	,	PUNCT
bracis-19032	225	14	f.	f.	PROPN
bracis-19032	225	15	,	,	PUNCT
bracis-19032	225	16	behrad	behrad	PROPN
bracis-19032	225	17	,	,	PUNCT
bracis-19032	225	18	a.	a.	NOUN
bracis-19032	225	19	:	:	PUNCT
bracis-19032	225	20	a	a	DET
bracis-19032	225	21	clustering	clustering	ADJ
bracis-19032	225	22	based	base	VERB
bracis-19032	225	23	feature	feature	NOUN
bracis-19032	225	24	selection	selection	NOUN
bracis-19032	225	25	method	method	NOUN
bracis-19032	225	26	in	in	ADP
bracis-19032	225	27	spectro	spectro	NOUN
bracis-19032	225	28	-	-	PUNCT
bracis-19032	225	29	temporal	temporal	ADJ
bracis-19032	225	30	domain	domain	NOUN
bracis-19032	225	31	for	for	ADP
bracis-19032	225	32	speech	speech	NOUN
bracis-19032	225	33	recognition	recognition	NOUN
bracis-19032	225	34	.	.	PUNCT
bracis-19032	226	1	eaai	eaai	PROPN
bracis-19032	226	2	25(6	25(6	NUM
bracis-19032	226	3	)	)	PUNCT
bracis-19032	226	4	,	,	PUNCT
bracis-19032	226	5	1194–1202	1194–1202	NUM
bracis-19032	226	6	(	(	PUNCT
bracis-19032	226	7	2012	2012	NUM
bracis-19032	226	8	)	)	PUNCT
bracis-19032	226	9	google	google	PROPN
bracis-19032	226	10	scholar	scholar	NOUN
bracis-19032	226	11	  	  	SPACE
bracis-19032	226	12	flexa	flexa	PROPN
bracis-19032	226	13	,	,	PUNCT
bracis-19032	226	14	c.	c.	PROPN
bracis-19032	226	15	,	,	PUNCT
bracis-19032	226	16	santos	santos	PROPN
bracis-19032	226	17	,	,	PUNCT
bracis-19032	226	18	r.	r.	PROPN
bracis-19032	226	19	,	,	PUNCT
bracis-19032	226	20	gomes	gomes	PROPN
bracis-19032	226	21	,	,	PUNCT
bracis-19032	226	22	w.	w.	PROPN
bracis-19032	226	23	,	,	PUNCT
bracis-19032	226	24	sales	sale	NOUN
bracis-19032	226	25	,	,	PUNCT
bracis-19032	226	26	c.	c.	NOUN
bracis-19032	226	27	,	,	PUNCT
bracis-19032	226	28	costa	costa	PROPN
bracis-19032	226	29	,	,	PUNCT
bracis-19032	226	30	j.c	j.c	PROPN
bracis-19032	226	31	.	.	PROPN
bracis-19032	226	32	:	:	PUNCT
bracis-19032	226	33	mutual	mutual	ADJ
bracis-19032	226	34	equidistant	equidistant	ADV
bracis-19032	226	35	-	-	PUNCT
bracis-19032	226	36	scattering	scatter	VERB
bracis-19032	226	37	criterion	criterion	NOUN
bracis-19032	226	38	:	:	PUNCT
bracis-19032	226	39	a	a	DET
bracis-19032	226	40	new	new	ADJ
bracis-19032	226	41	index	index	NOUN
bracis-19032	226	42	for	for	ADP
bracis-19032	226	43	crisp	crisp	ADJ
bracis-19032	226	44	clustering	clustering	NOUN
bracis-19032	226	45	.	.	PUNCT
bracis-19032	227	1	eswa	eswa	NOUN
bracis-19032	227	2	128	128	NUM
bracis-19032	227	3	,	,	PUNCT
bracis-19032	227	4	225–245	225–245	NUM
bracis-19032	227	5	(	(	PUNCT
bracis-19032	227	6	2019	2019	NUM
bracis-19032	227	7	)	)	PUNCT
bracis-19032	227	8	google	google	NOUN
bracis-19032	227	9	scholar	scholar	NOUN
bracis-19032	227	10	  	  	SPACE
bracis-19032	227	11	fränti	fränti	PROPN
bracis-19032	227	12	,	,	PUNCT
bracis-19032	227	13	p.	p.	NOUN
bracis-19032	227	14	,	,	PUNCT
bracis-19032	227	15	sieranoja	sieranoja	PROPN
bracis-19032	227	16	,	,	PUNCT
bracis-19032	227	17	s.	s.	PROPN
bracis-19032	227	18	:	:	PUNCT
bracis-19032	227	19	k	k	ADJ
bracis-19032	227	20	-	-	PUNCT
bracis-19032	227	21	means	mean	VERB
bracis-19032	227	22	properties	property	NOUN
bracis-19032	227	23	on	on	ADP
bracis-19032	227	24	six	six	NUM
bracis-19032	227	25	clustering	clustering	ADJ
bracis-19032	227	26	benchmark	benchmark	NOUN
bracis-19032	227	27	datasets	dataset	NOUN
bracis-19032	227	28	.	.	PUNCT
bracis-19032	228	1	appl	appl	PROPN
bracis-19032	228	2	.	.	PUNCT
bracis-19032	229	1	intell	intell	PROPN
bracis-19032	229	2	.	.	PUNCT
bracis-19032	230	1	48(12	48(12	NUM
bracis-19032	230	2	)	)	PUNCT
bracis-19032	230	3	,	,	PUNCT
bracis-19032	230	4	4743–4759	4743–4759	NUM
bracis-19032	230	5	(	(	PUNCT
bracis-19032	230	6	2018	2018	NUM
bracis-19032	230	7	)	)	PUNCT
bracis-19032	230	8	article	article	NOUN
bracis-19032	230	9	  	  	SPACE
bracis-19032	230	10	google	google	PROPN
bracis-19032	230	11	scholar	scholar	NOUN
bracis-19032	230	12	  	  	SPACE
bracis-19032	230	13	fumeo	fumeo	NOUN
bracis-19032	230	14	,	,	PUNCT
bracis-19032	230	15	e.	e.	PROPN
bracis-19032	230	16	,	,	PUNCT
bracis-19032	230	17	oneto	oneto	PROPN
bracis-19032	230	18	,	,	PUNCT
bracis-19032	230	19	l.	l.	PROPN
bracis-19032	230	20	,	,	PUNCT
bracis-19032	230	21	anguita	anguita	PROPN
bracis-19032	230	22	,	,	PUNCT
bracis-19032	230	23	d.	d.	PROPN
bracis-19032	230	24	:	:	PUNCT
bracis-19032	231	1	condition	condition	NOUN
bracis-19032	231	2	based	base	VERB
bracis-19032	231	3	maintenance	maintenance	NOUN
bracis-19032	231	4	in	in	ADP
bracis-19032	231	5	railway	railway	NOUN
bracis-19032	231	6	transportation	transportation	NOUN
bracis-19032	231	7	systems	system	NOUN
bracis-19032	231	8	based	base	VERB
bracis-19032	231	9	on	on	ADP
bracis-19032	231	10	big	big	ADJ
bracis-19032	231	11	data	datum	NOUN
bracis-19032	231	12	streaming	streaming	NOUN
bracis-19032	231	13	analysis	analysis	NOUN
bracis-19032	231	14	.	.	PUNCT
bracis-19032	232	1	pcs	pc	NOUN
bracis-19032	232	2	53	53	NUM
bracis-19032	232	3	,	,	PUNCT
bracis-19032	232	4	437–446	437–446	NUM
bracis-19032	232	5	(	(	PUNCT
bracis-19032	232	6	2015	2015	NUM
bracis-19032	232	7	)	)	PUNCT
bracis-19032	232	8	google	google	NOUN
bracis-19032	232	9	scholar	scholar	NOUN
bracis-19032	232	10	  	  	SPACE
bracis-19032	232	11	gandomi	gandomi	NOUN
bracis-19032	232	12	,	,	PUNCT
bracis-19032	232	13	a.	a.	NOUN
bracis-19032	232	14	,	,	PUNCT
bracis-19032	232	15	haider	haider	PROPN
bracis-19032	232	16	,	,	PUNCT
bracis-19032	232	17	m.	m.	NOUN
bracis-19032	232	18	:	:	PUNCT
bracis-19032	232	19	beyond	beyond	ADP
bracis-19032	232	20	the	the	DET
bracis-19032	232	21	hype	hype	NOUN
bracis-19032	232	22	:	:	PUNCT
bracis-19032	232	23	big	big	ADJ
bracis-19032	232	24	data	datum	NOUN
bracis-19032	232	25	concepts	concept	NOUN
bracis-19032	232	26	,	,	PUNCT
bracis-19032	232	27	methods	method	NOUN
bracis-19032	232	28	,	,	PUNCT
bracis-19032	232	29	and	and	CCONJ
bracis-19032	232	30	analytics	analytic	NOUN
bracis-19032	232	31	.	.	PUNCT
bracis-19032	233	1	int	int	NOUN
bracis-19032	233	2	.	.	PUNCT
bracis-19032	234	1	j.	j.	PROPN
bracis-19032	234	2	inf	inf	PROPN
bracis-19032	234	3	.	.	PUNCT
bracis-19032	234	4	manage	manage	VERB
bracis-19032	234	5	.	.	PUNCT
bracis-19032	235	1	35(2	35(2	NUM
bracis-19032	235	2	)	)	PUNCT
bracis-19032	235	3	,	,	PUNCT
bracis-19032	235	4	137–144	137–144	NUM
bracis-19032	235	5	(	(	PUNCT
bracis-19032	235	6	2015	2015	NUM
bracis-19032	235	7	)	)	PUNCT
bracis-19032	235	8	article	article	NOUN
bracis-19032	235	9	  	  	SPACE
bracis-19032	235	10	google	google	PROPN
bracis-19032	235	11	scholar	scholar	NOUN
bracis-19032	235	12	  	  	SPACE
bracis-19032	235	13	garcía	garcía	ADJ
bracis-19032	235	14	,	,	PUNCT
bracis-19032	235	15	s.	s.	PROPN
bracis-19032	235	16	,	,	PUNCT
bracis-19032	235	17	fernández	fernández	PROPN
bracis-19032	235	18	,	,	PUNCT
bracis-19032	235	19	a.	a.	NOUN
bracis-19032	235	20	,	,	PUNCT
bracis-19032	235	21	luengo	luengo	PROPN
bracis-19032	235	22	,	,	PUNCT
bracis-19032	235	23	j.	j.	PROPN
bracis-19032	235	24	,	,	PUNCT
bracis-19032	235	25	herrera	herrera	PROPN
bracis-19032	235	26	,	,	PUNCT
bracis-19032	235	27	f.	f.	PROPN
bracis-19032	235	28	:	:	PUNCT
bracis-19032	235	29	advanced	advanced	ADJ
bracis-19032	235	30	nonparametric	nonparametric	NOUN
bracis-19032	235	31	tests	test	NOUN
bracis-19032	235	32	for	for	ADP
bracis-19032	235	33	multiple	multiple	ADJ
bracis-19032	235	34	comparisons	comparison	NOUN
bracis-19032	235	35	in	in	ADP
bracis-19032	235	36	the	the	DET
bracis-19032	235	37	design	design	NOUN
bracis-19032	235	38	of	of	ADP
bracis-19032	235	39	experiments	experiment	NOUN
bracis-19032	235	40	in	in	ADP
bracis-19032	235	41	computational	computational	ADJ
bracis-19032	235	42	intelligence	intelligence	NOUN
bracis-19032	235	43	and	and	CCONJ
bracis-19032	235	44	data	datum	NOUN
bracis-19032	235	45	mining	mining	NOUN
bracis-19032	235	46	:	:	PUNCT
bracis-19032	235	47	experimental	experimental	ADJ
bracis-19032	235	48	analysis	analysis	NOUN
bracis-19032	235	49	of	of	ADP
bracis-19032	235	50	power	power	NOUN
bracis-19032	235	51	.	.	PUNCT
bracis-19032	236	1	is	be	AUX
bracis-19032	236	2	180(10	180(10	NUM
bracis-19032	236	3	)	)	PUNCT
bracis-19032	236	4	,	,	PUNCT
bracis-19032	236	5	2044–2064	2044–2064	NUM
bracis-19032	236	6	(	(	PUNCT
bracis-19032	236	7	2010	2010	NUM
bracis-19032	236	8	)	)	PUNCT
bracis-19032	236	9	google	google	PROPN
bracis-19032	236	10	scholar	scholar	NOUN
bracis-19032	236	11	  	  	SPACE
bracis-19032	236	12	gardiner	gardiner	NOUN
bracis-19032	236	13	,	,	PUNCT
bracis-19032	236	14	a.	a.	NOUN
bracis-19032	236	15	,	,	PUNCT
bracis-19032	236	16	aasheim	aasheim	NOUN
bracis-19032	236	17	,	,	PUNCT
bracis-19032	236	18	c.	c.	NOUN
bracis-19032	236	19	,	,	PUNCT
bracis-19032	236	20	rutner	rutner	NOUN
bracis-19032	236	21	,	,	PUNCT
bracis-19032	236	22	p.	p.	PROPN
bracis-19032	236	23	,	,	PUNCT
bracis-19032	236	24	williams	williams	PROPN
bracis-19032	236	25	,	,	PUNCT
bracis-19032	236	26	s.	s.	PROPN
bracis-19032	236	27	:	:	PUNCT
bracis-19032	237	1	skill	skill	NOUN
bracis-19032	237	2	requirements	requirement	NOUN
bracis-19032	237	3	in	in	ADP
bracis-19032	237	4	big	big	ADJ
bracis-19032	237	5	data	datum	NOUN
bracis-19032	237	6	:	:	PUNCT
bracis-19032	237	7	a	a	DET
bracis-19032	237	8	content	content	NOUN
bracis-19032	237	9	analysis	analysis	NOUN
bracis-19032	237	10	of	of	ADP
bracis-19032	237	11	job	job	NOUN
bracis-19032	237	12	advertisements	advertisement	NOUN
bracis-19032	237	13	.	.	PUNCT
bracis-19032	238	1	jcif	jcif	PROPN
bracis-19032	238	2	58(4	58(4	NUM
bracis-19032	238	3	)	)	PUNCT
bracis-19032	238	4	,	,	PUNCT
bracis-19032	238	5	374–384	374–384	NUM
bracis-19032	238	6	(	(	PUNCT
bracis-19032	238	7	2018	2018	NUM
bracis-19032	238	8	)	)	PUNCT
bracis-19032	238	9	google	google	PROPN
bracis-19032	238	10	scholar	scholar	NOUN
bracis-19032	238	11	  	  	SPACE
bracis-19032	238	12	gil	gil	PROPN
bracis-19032	238	13	,	,	PUNCT
bracis-19032	238	14	d.	d.	PROPN
bracis-19032	238	15	,	,	PUNCT
bracis-19032	238	16	songi	songi	PROPN
bracis-19032	238	17	,	,	PUNCT
bracis-19032	238	18	i.y	i.y	PROPN
bracis-19032	238	19	.	.	PUNCT
bracis-19032	238	20	:	:	PUNCT
bracis-19032	238	21	modeling	modeling	NOUN
bracis-19032	238	22	and	and	CCONJ
bracis-19032	238	23	management	management	NOUN
bracis-19032	238	24	of	of	ADP
bracis-19032	238	25	big	big	ADJ
bracis-19032	238	26	data	datum	NOUN
bracis-19032	238	27	:	:	PUNCT
bracis-19032	238	28	challenges	challenge	NOUN
bracis-19032	238	29	and	and	CCONJ
bracis-19032	238	30	opportunities	opportunity	NOUN
bracis-19032	238	31	.	.	PUNCT
bracis-19032	239	1	futur	futur	PROPN
bracis-19032	239	2	.	.	PUNCT
bracis-19032	239	3	gener	gener	PROPN
bracis-19032	239	4	.	.	PUNCT
bracis-19032	240	1	comput	comput	PROPN
bracis-19032	240	2	.	.	PUNCT
bracis-19032	241	1	syst	syst	PROPN
bracis-19032	241	2	.	.	PUNCT
bracis-19032	242	1	63	63	NUM
bracis-19032	242	2	,	,	PUNCT
bracis-19032	242	3	96–99	96–99	NUM
bracis-19032	242	4	(	(	PUNCT
bracis-19032	242	5	2016	2016	NUM
bracis-19032	242	6	)	)	PUNCT
bracis-19032	242	7	article	article	NOUN
bracis-19032	242	8	  	  	SPACE
bracis-19032	242	9	google	google	PROPN
bracis-19032	242	10	scholar	scholar	NOUN
bracis-19032	242	11	  	  	SPACE
bracis-19032	242	12	güngör	güngör	PROPN
bracis-19032	242	13	,	,	PUNCT
bracis-19032	242	14	e.	e.	PROPN
bracis-19032	242	15	,	,	PUNCT
bracis-19032	242	16	özmen	özman	NOUN
bracis-19032	242	17	,	,	PUNCT
bracis-19032	242	18	a.	a.	NOUN
bracis-19032	242	19	:	:	PUNCT
bracis-19032	242	20	distance	distance	NOUN
bracis-19032	242	21	and	and	CCONJ
bracis-19032	242	22	density	density	NOUN
bracis-19032	242	23	based	base	VERB
bracis-19032	242	24	clustering	cluster	VERB
bracis-19032	242	25	algorithm	algorithm	NOUN
bracis-19032	242	26	using	use	VERB
bracis-19032	242	27	gaussian	gaussian	ADJ
bracis-19032	242	28	kernel	kernel	NOUN
bracis-19032	242	29	.	.	PUNCT
bracis-19032	243	1	expert	expert	NOUN
bracis-19032	243	2	syst	syst	PROPN
bracis-19032	243	3	.	.	PUNCT
bracis-19032	244	1	appl	appl	PROPN
bracis-19032	244	2	.	.	PROPN
bracis-19032	245	1	69	69	NUM
bracis-19032	245	2	,	,	PUNCT
bracis-19032	245	3	10–20	10–20	NUM
bracis-19032	245	4	(	(	PUNCT
bracis-19032	245	5	2017	2017	NUM
bracis-19032	245	6	)	)	PUNCT
bracis-19032	245	7	article	article	NOUN
bracis-19032	245	8	  	  	SPACE
bracis-19032	245	9	google	google	PROPN
bracis-19032	245	10	scholar	scholar	NOUN
bracis-19032	245	11	  	  	SPACE
bracis-19032	245	12	islam	islam	PROPN
bracis-19032	245	13	,	,	PUNCT
bracis-19032	245	14	m.z	m.z	PROPN
bracis-19032	245	15	.	.	PROPN
bracis-19032	245	16	,	,	PUNCT
bracis-19032	245	17	estivill	estivill	NOUN
bracis-19032	245	18	-	-	PUNCT
bracis-19032	245	19	castro	castro	PROPN
bracis-19032	245	20	,	,	PUNCT
bracis-19032	245	21	v.	v.	PROPN
bracis-19032	245	22	,	,	PUNCT
bracis-19032	245	23	rahman	rahman	PROPN
bracis-19032	245	24	,	,	PUNCT
bracis-19032	245	25	m.a	m.a	PROPN
bracis-19032	245	26	.	.	PROPN
bracis-19032	245	27	,	,	PUNCT
bracis-19032	245	28	bossomaier	bossomaier	NOUN
bracis-19032	245	29	,	,	PUNCT
bracis-19032	245	30	t.	t.	PROPN
bracis-19032	245	31	:	:	PUNCT
bracis-19032	245	32	combining	combine	VERB
bracis-19032	245	33	k	k	NOUN
bracis-19032	245	34	-	-	PUNCT
bracis-19032	245	35	means	mean	NOUN
bracis-19032	245	36	and	and	CCONJ
bracis-19032	245	37	a	a	DET
bracis-19032	245	38	genetic	genetic	ADJ
bracis-19032	245	39	algorithm	algorithm	NOUN
bracis-19032	245	40	through	through	ADP
bracis-19032	245	41	a	a	DET
bracis-19032	245	42	novel	novel	ADJ
bracis-19032	245	43	arrangement	arrangement	NOUN
bracis-19032	245	44	of	of	ADP
bracis-19032	245	45	genetic	genetic	ADJ
bracis-19032	245	46	operators	operator	NOUN
bracis-19032	245	47	for	for	ADP
bracis-19032	245	48	high	high	ADJ
bracis-19032	245	49	quality	quality	NOUN
bracis-19032	245	50	clustering	clustering	NOUN
bracis-19032	245	51	.	.	PUNCT
bracis-19032	246	1	expert	expert	NOUN
bracis-19032	246	2	syst	syst	PROPN
bracis-19032	246	3	.	.	PUNCT
bracis-19032	247	1	appl	appl	PROPN
bracis-19032	247	2	.	.	PROPN
bracis-19032	248	1	91	91	NUM
bracis-19032	248	2	,	,	PUNCT
bracis-19032	248	3	402–417	402–417	NUM
bracis-19032	248	4	(	(	PUNCT
bracis-19032	248	5	2018	2018	NUM
bracis-19032	248	6	)	)	PUNCT
bracis-19032	248	7	article	article	NOUN
bracis-19032	248	8	  	  	SPACE
bracis-19032	248	9	google	google	PROPN
bracis-19032	248	10	scholar	scholar	NOUN
bracis-19032	248	11	  	  	SPACE
bracis-19032	248	12	jain	jain	PROPN
bracis-19032	248	13	,	,	PUNCT
bracis-19032	248	14	a.k	a.k	PROPN
bracis-19032	248	15	.	.	PROPN
bracis-19032	248	16	:	:	PUNCT
bracis-19032	249	1	data	datum	NOUN
bracis-19032	249	2	clustering	cluster	VERB
bracis-19032	249	3	:	:	PUNCT
bracis-19032	249	4	50	50	NUM
bracis-19032	249	5	years	year	NOUN
bracis-19032	249	6	beyond	beyond	ADP
bracis-19032	249	7	k	k	NOUN
bracis-19032	249	8	-	-	PUNCT
bracis-19032	249	9	means	means	NOUN
bracis-19032	249	10	.	.	PUNCT
bracis-19032	250	1	prl	prl	PROPN
bracis-19032	250	2	31(8	31(8	NUM
bracis-19032	250	3	)	)	PUNCT
bracis-19032	250	4	,	,	PUNCT
bracis-19032	250	5	651–666	651–666	NUM
bracis-19032	250	6	(	(	PUNCT
bracis-19032	250	7	2010	2010	NUM
bracis-19032	250	8	)	)	PUNCT
bracis-19032	250	9	article	article	NOUN
bracis-19032	250	10	  	  	SPACE
bracis-19032	250	11	google	google	PROPN
bracis-19032	250	12	scholar	scholar	NOUN
bracis-19032	250	13	  	  	SPACE
bracis-19032	250	14	johnson	johnson	PROPN
bracis-19032	250	15	,	,	PUNCT
bracis-19032	250	16	s.c	s.c	PROPN
bracis-19032	250	17	.	.	PROPN
bracis-19032	250	18	:	:	PUNCT
bracis-19032	250	19	hierarchical	hierarchical	ADJ
bracis-19032	250	20	clustering	clustering	ADJ
bracis-19032	250	21	schemes	scheme	NOUN
bracis-19032	250	22	.	.	PUNCT
bracis-19032	251	1	psychometrika	psychometrika	NOUN
bracis-19032	251	2	,	,	PUNCT
bracis-19032	251	3	pp	pp	ADV
bracis-19032	251	4	.	.	PUNCT
bracis-19032	252	1	241–254	241–254	NUM
bracis-19032	252	2	(	(	PUNCT
bracis-19032	252	3	1967	1967	NUM
bracis-19032	252	4	)	)	PUNCT
bracis-19032	252	5	google	google	PROPN
bracis-19032	252	6	scholar	scholar	NOUN
bracis-19032	252	7	  	  	SPACE
bracis-19032	252	8	langone	langone	NOUN
bracis-19032	252	9	,	,	PUNCT
bracis-19032	252	10	r.	r.	PROPN
bracis-19032	252	11	,	,	PUNCT
bracis-19032	252	12	reynders	reynder	NOUN
bracis-19032	252	13	,	,	PUNCT
bracis-19032	252	14	e.	e.	PROPN
bracis-19032	252	15	,	,	PUNCT
bracis-19032	252	16	mehrkanoon	mehrkanoon	PROPN
bracis-19032	252	17	,	,	PUNCT
bracis-19032	252	18	s.	s.	PROPN
bracis-19032	252	19	,	,	PUNCT
bracis-19032	252	20	suykens	suykens	PROPN
bracis-19032	252	21	,	,	PUNCT
bracis-19032	252	22	j.a	j.a	PROPN
bracis-19032	252	23	.	.	PROPN
bracis-19032	252	24	:	:	PUNCT
bracis-19032	253	1	automated	automate	VERB
bracis-19032	253	2	structural	structural	ADJ
bracis-19032	253	3	health	health	NOUN
bracis-19032	253	4	monitoring	monitoring	NOUN
bracis-19032	253	5	based	base	VERB
bracis-19032	253	6	on	on	ADP
bracis-19032	253	7	adaptive	adaptive	ADJ
bracis-19032	253	8	kernel	kernel	PROPN
bracis-19032	253	9	spectral	spectral	ADJ
bracis-19032	253	10	clustering	clustering	NOUN
bracis-19032	253	11	.	.	PUNCT
bracis-19032	254	1	in	in	ADP
bracis-19032	254	2	:	:	PUNCT
bracis-19032	254	3	mssp	mssp	PROPN
bracis-19032	254	4	(	(	PUNCT
bracis-19032	254	5	2017	2017	NUM
bracis-19032	254	6	)	)	PUNCT
bracis-19032	254	7	google	google	PROPN
bracis-19032	254	8	scholar	scholar	NOUN
bracis-19032	254	9	  	  	SPACE
bracis-19032	254	10	lingras	lingra	NOUN
bracis-19032	254	11	,	,	PUNCT
bracis-19032	254	12	p.	p.	PROPN
bracis-19032	254	13	,	,	PUNCT
bracis-19032	254	14	chen	chen	PROPN
bracis-19032	254	15	,	,	PUNCT
bracis-19032	254	16	m.	m.	NOUN
bracis-19032	254	17	,	,	PUNCT
bracis-19032	254	18	miao	miao	NOUN
bracis-19032	254	19	,	,	PUNCT
bracis-19032	254	20	d.	d.	NOUN
bracis-19032	254	21	:	:	PUNCT
bracis-19032	254	22	qualitative	qualitative	ADJ
bracis-19032	254	23	and	and	CCONJ
bracis-19032	254	24	quantitative	quantitative	ADJ
bracis-19032	254	25	combinations	combination	NOUN
bracis-19032	254	26	of	of	ADP
bracis-19032	254	27	crisp	crisp	ADJ
bracis-19032	254	28	and	and	CCONJ
bracis-19032	254	29	rough	rough	ADJ
bracis-19032	254	30	clustering	clustering	ADJ
bracis-19032	254	31	schemes	scheme	NOUN
bracis-19032	254	32	using	use	VERB
bracis-19032	254	33	dominance	dominance	NOUN
bracis-19032	254	34	relations	relation	NOUN
bracis-19032	254	35	.	.	PUNCT
bracis-19032	255	1	in	in	ADP
bracis-19032	255	2	:	:	PUNCT
bracis-19032	255	3	ijar	ijar	NOUN
bracis-19032	255	4	,	,	PUNCT
bracis-19032	255	5	pp	pp	ADV
bracis-19032	255	6	.	.	PUNCT
bracis-19032	256	1	238–258	238–258	NUM
bracis-19032	256	2	(	(	PUNCT
bracis-19032	256	3	2014	2014	NUM
bracis-19032	256	4	)	)	PUNCT
bracis-19032	256	5	google	google	NOUN
bracis-19032	256	6	scholar	scholar	NOUN
bracis-19032	256	7	  	  	SPACE
bracis-19032	256	8	lucasius	lucasius	ADJ
bracis-19032	256	9	,	,	PUNCT
bracis-19032	256	10	c.	c.	NOUN
bracis-19032	256	11	,	,	PUNCT
bracis-19032	256	12	dane	dane	PROPN
bracis-19032	256	13	,	,	PUNCT
bracis-19032	256	14	a.	a.	PROPN
bracis-19032	256	15	,	,	PUNCT
bracis-19032	256	16	kateman	kateman	PROPN
bracis-19032	256	17	,	,	PUNCT
bracis-19032	256	18	g.	g.	PROPN
bracis-19032	256	19	:	:	PUNCT
bracis-19032	256	20	on	on	ADP
bracis-19032	256	21	k	k	PROPN
bracis-19032	256	22	-	-	PROPN
bracis-19032	256	23	medoid	medoid	NOUN
bracis-19032	256	24	clustering	clustering	NOUN
bracis-19032	256	25	of	of	ADP
bracis-19032	256	26	large	large	ADJ
bracis-19032	256	27	data	datum	NOUN
bracis-19032	256	28	sets	set	NOUN
bracis-19032	256	29	with	with	ADP
bracis-19032	256	30	the	the	DET
bracis-19032	256	31	aid	aid	NOUN
bracis-19032	256	32	of	of	ADP
bracis-19032	256	33	a	a	DET
bracis-19032	256	34	genetic	genetic	ADJ
bracis-19032	256	35	algorithm	algorithm	NOUN
bracis-19032	256	36	:	:	PUNCT
bracis-19032	256	37	background	background	NOUN
bracis-19032	256	38	,	,	PUNCT
bracis-19032	256	39	feasiblity	feasiblity	NOUN
bracis-19032	256	40	and	and	CCONJ
bracis-19032	256	41	comparison	comparison	NOUN
bracis-19032	256	42	.	.	PUNCT
bracis-19032	257	1	anal	anal	PROPN
bracis-19032	257	2	.	.	PUNCT
bracis-19032	258	1	chim	chim	PROPN
bracis-19032	258	2	.	.	PUNCT
bracis-19032	259	1	acta	acta	PROPN
bracis-19032	259	2	282(3	282(3	NUM
bracis-19032	259	3	)	)	PUNCT
bracis-19032	259	4	,	,	PUNCT
bracis-19032	259	5	647–669	647–669	NUM
bracis-19032	259	6	(	(	PUNCT
bracis-19032	259	7	1993	1993	NUM
bracis-19032	259	8	)	)	PUNCT
bracis-19032	259	9	article	article	NOUN
bracis-19032	259	10	  	  	SPACE
bracis-19032	259	11	google	google	PROPN
bracis-19032	259	12	scholar	scholar	NOUN
bracis-19032	259	13	  	  	SPACE
bracis-19032	259	14	macqueen	macqueen	PROPN
bracis-19032	259	15	,	,	PUNCT
bracis-19032	259	16	j.b	j.b	PROPN
bracis-19032	259	17	.	.	PUNCT
bracis-19032	259	18	:	:	PUNCT
bracis-19032	260	1	some	some	DET
bracis-19032	260	2	methods	method	NOUN
bracis-19032	260	3	for	for	ADP
bracis-19032	260	4	classification	classification	NOUN
bracis-19032	260	5	and	and	CCONJ
bracis-19032	260	6	analysis	analysis	NOUN
bracis-19032	260	7	of	of	ADP
bracis-19032	260	8	multivariate	multivariate	NOUN
bracis-19032	260	9	observations	observation	NOUN
bracis-19032	260	10	.	.	PUNCT
bracis-19032	261	1	in	in	ADP
bracis-19032	261	2	:	:	PUNCT
bracis-19032	261	3	bsmsp	bsmsp	ADJ
bracis-19032	261	4	,	,	PUNCT
bracis-19032	261	5	vol	vol	NOUN
bracis-19032	261	6	.	.	PROPN
bracis-19032	261	7	1	1	NUM
bracis-19032	261	8	,	,	PUNCT
bracis-19032	261	9	pp	pp	ADJ
bracis-19032	261	10	.	.	PUNCT
bracis-19032	262	1	281–297	281–297	NUM
bracis-19032	262	2	.	.	PUNCT
bracis-19032	263	1	university	university	PROPN
bracis-19032	263	2	of	of	ADP
bracis-19032	263	3	california	california	PROPN
bracis-19032	263	4	press	press	PROPN
bracis-19032	263	5	(	(	PUNCT
bracis-19032	263	6	1967	1967	NUM
bracis-19032	263	7	)	)	PUNCT
bracis-19032	263	8	google	google	PROPN
bracis-19032	263	9	scholar	scholar	NOUN
bracis-19032	263	10	  	  	SPACE
bracis-19032	263	11	mary	mary	PROPN
bracis-19032	263	12	,	,	PUNCT
bracis-19032	263	13	s.a.l	s.a.l	ADJ
bracis-19032	263	14	.	.	PROPN
bracis-19032	263	15	,	,	PUNCT
bracis-19032	263	16	sivagami	sivagami	PROPN
bracis-19032	263	17	,	,	PUNCT
bracis-19032	263	18	a.n	a.n	PROPN
bracis-19032	263	19	.	.	PROPN
bracis-19032	263	20	,	,	PUNCT
bracis-19032	263	21	rani	rani	PROPN
bracis-19032	263	22	,	,	PUNCT
bracis-19032	263	23	m.u	m.u	PROPN
bracis-19032	263	24	.	.	PROPN
bracis-19032	263	25	:	:	PUNCT
bracis-19032	264	1	cluster	cluster	NOUN
bracis-19032	264	2	validity	validity	NOUN
bracis-19032	264	3	measures	measure	VERB
bracis-19032	264	4	dynamic	dynamic	ADJ
bracis-19032	264	5	clustering	clustering	ADJ
bracis-19032	264	6	algorithms	algorithm	NOUN
bracis-19032	264	7	.	.	PUNCT
bracis-19032	265	1	arpn	arpn	VERB
bracis-19032	265	2	j.	j.	PROPN
bracis-19032	265	3	eng	eng	PROPN
bracis-19032	265	4	.	.	PROPN
bracis-19032	265	5	appl	appl	PROPN
bracis-19032	265	6	.	.	PUNCT
bracis-19032	266	1	sci	sci	PROPN
bracis-19032	266	2	.	.	PUNCT
bracis-19032	266	3	10(9	10(9	NUM
bracis-19032	266	4	)	)	PUNCT
bracis-19032	266	5	,	,	PUNCT
bracis-19032	266	6	4009–4012	4009–4012	NUM
bracis-19032	266	7	(	(	PUNCT
bracis-19032	266	8	2015	2015	NUM
bracis-19032	266	9	)	)	PUNCT
bracis-19032	266	10	google	google	NOUN
bracis-19032	266	11	scholar	scholar	NOUN
bracis-19032	266	12	  	  	SPACE
bracis-19032	266	13	maulik	maulik	NOUN
bracis-19032	266	14	,	,	PUNCT
bracis-19032	266	15	u.	u.	NOUN
bracis-19032	266	16	,	,	PUNCT
bracis-19032	266	17	bandyopadhyay	bandyopadhyay	NOUN
bracis-19032	266	18	,	,	PUNCT
bracis-19032	266	19	s.	s.	PROPN
bracis-19032	266	20	:	:	PUNCT
bracis-19032	266	21	genetic	genetic	ADJ
bracis-19032	266	22	algorithm	algorithm	NOUN
bracis-19032	266	23	-	-	PUNCT
bracis-19032	266	24	based	base	VERB
bracis-19032	266	25	clustering	clustering	ADJ
bracis-19032	266	26	technique	technique	NOUN
bracis-19032	266	27	.	.	PUNCT
bracis-19032	267	1	pattern	pattern	NOUN
bracis-19032	267	2	recogn	recogn	VERB
bracis-19032	267	3	.	.	PUNCT
bracis-19032	268	1	33(9	33(9	NUM
bracis-19032	268	2	)	)	PUNCT
bracis-19032	268	3	,	,	PUNCT
bracis-19032	268	4	1455–1465	1455–1465	NUM
bracis-19032	268	5	(	(	PUNCT
bracis-19032	268	6	2000	2000	NUM
bracis-19032	268	7	)	)	PUNCT
bracis-19032	268	8	article	article	NOUN
bracis-19032	268	9	  	  	SPACE
bracis-19032	268	10	google	google	PROPN
bracis-19032	268	11	scholar	scholar	NOUN
bracis-19032	268	12	  	  	SPACE
bracis-19032	268	13	mcafee	mcafee	NOUN
bracis-19032	268	14	,	,	PUNCT
bracis-19032	268	15	a.	a.	PROPN
bracis-19032	268	16	,	,	PUNCT
bracis-19032	268	17	brynjolfsson	brynjolfsson	PROPN
bracis-19032	268	18	,	,	PUNCT
bracis-19032	268	19	e.	e.	PROPN
bracis-19032	268	20	:	:	PUNCT
bracis-19032	268	21	big	big	ADJ
bracis-19032	268	22	data	datum	NOUN
bracis-19032	268	23	:	:	PUNCT
bracis-19032	269	1	the	the	DET
bracis-19032	269	2	management	management	NOUN
bracis-19032	269	3	revolution	revolution	NOUN
bracis-19032	269	4	(	(	PUNCT
bracis-19032	269	5	2012	2012	NUM
bracis-19032	269	6	)	)	PUNCT
bracis-19032	269	7	google	google	PROPN
bracis-19032	269	8	scholar	scholar	NOUN
bracis-19032	269	9	  	  	SPACE
bracis-19032	269	10	mclachlan	mclachlan	NOUN
bracis-19032	269	11	,	,	PUNCT
bracis-19032	269	12	g.	g.	PROPN
bracis-19032	269	13	,	,	PUNCT
bracis-19032	269	14	basford	basford	NOUN
bracis-19032	269	15	,	,	PUNCT
bracis-19032	269	16	k.	k.	NOUN
bracis-19032	269	17	:	:	PUNCT
bracis-19032	269	18	mixture	mixture	NOUN
bracis-19032	269	19	models	model	NOUN
bracis-19032	269	20	:	:	PUNCT
bracis-19032	269	21	inference	inference	NOUN
bracis-19032	269	22	and	and	CCONJ
bracis-19032	269	23	applications	application	NOUN
bracis-19032	269	24	to	to	ADP
bracis-19032	269	25	clustering	clustering	NOUN
bracis-19032	269	26	,	,	PUNCT
bracis-19032	269	27	vol	vol	NOUN
bracis-19032	269	28	.	.	PROPN
bracis-19032	269	29	38	38	NUM
bracis-19032	269	30	,	,	PUNCT
bracis-19032	269	31	january	january	PROPN
bracis-19032	269	32	1988	1988	NUM
bracis-19032	269	33	google	google	PROPN
bracis-19032	269	34	scholar	scholar	NOUN
bracis-19032	269	35	  	  	SPACE
bracis-19032	269	36	moulavi	moulavi	NOUN
bracis-19032	269	37	,	,	PUNCT
bracis-19032	269	38	d.	d.	PROPN
bracis-19032	269	39	,	,	PUNCT
bracis-19032	269	40	jaskowiak	jaskowiak	PROPN
bracis-19032	269	41	,	,	PUNCT
bracis-19032	269	42	p.a	p.a	PROPN
bracis-19032	269	43	.	.	PROPN
bracis-19032	269	44	,	,	PUNCT
bracis-19032	269	45	campello	campello	PROPN
bracis-19032	269	46	,	,	PUNCT
bracis-19032	269	47	r.j.g.b	r.j.g.b	PROPN
bracis-19032	269	48	.	.	PROPN
bracis-19032	269	49	,	,	PUNCT
bracis-19032	269	50	zimek	zimek	PROPN
bracis-19032	269	51	,	,	PUNCT
bracis-19032	269	52	a.	a.	NOUN
bracis-19032	269	53	,	,	PUNCT
bracis-19032	269	54	sander	sander	NOUN
bracis-19032	269	55	,	,	PUNCT
bracis-19032	269	56	j.	j.	PROPN
bracis-19032	269	57	:	:	PUNCT
bracis-19032	269	58	density	density	NOUN
bracis-19032	269	59	-	-	PUNCT
bracis-19032	269	60	based	base	VERB
bracis-19032	269	61	clustering	clustering	ADJ
bracis-19032	269	62	validation	validation	NOUN
bracis-19032	269	63	.	.	PUNCT
bracis-19032	270	1	in	in	ADP
bracis-19032	270	2	:	:	PUNCT
bracis-19032	270	3	14th	14th	ADJ
bracis-19032	270	4	siam	siam	ADJ
bracis-19032	270	5	icdm	icdm	NOUN
bracis-19032	270	6	,	,	PUNCT
bracis-19032	270	7	philadelphia	philadelphia	PROPN
bracis-19032	270	8	,	,	PUNCT
bracis-19032	270	9	pa	pa	PROPN
bracis-19032	270	10	(	(	PUNCT
bracis-19032	270	11	2014	2014	NUM
bracis-19032	270	12	)	)	PUNCT
bracis-19032	270	13	google	google	NOUN
bracis-19032	270	14	scholar	scholar	NOUN
bracis-19032	270	15	  	  	SPACE
bracis-19032	270	16	pagnuco	pagnuco	ADJ
bracis-19032	270	17	,	,	PUNCT
bracis-19032	270	18	i.a	i.a	PROPN
bracis-19032	270	19	.	.	PROPN
bracis-19032	270	20	,	,	PUNCT
bracis-19032	270	21	pastore	pastore	PROPN
bracis-19032	270	22	,	,	PUNCT
bracis-19032	270	23	j.i	j.i	PROPN
bracis-19032	270	24	.	.	PROPN
bracis-19032	270	25	,	,	PUNCT
bracis-19032	270	26	abras	abras	PROPN
bracis-19032	270	27	,	,	PUNCT
bracis-19032	270	28	g.	g.	PROPN
bracis-19032	270	29	,	,	PUNCT
bracis-19032	270	30	brun	brun	NOUN
bracis-19032	270	31	,	,	PUNCT
bracis-19032	270	32	m.	m.	NOUN
bracis-19032	270	33	,	,	PUNCT
bracis-19032	270	34	ballarin	ballarin	NOUN
bracis-19032	270	35	,	,	PUNCT
bracis-19032	270	36	v.l	v.l	PROPN
bracis-19032	270	37	.	.	PROPN
bracis-19032	270	38	:	:	PUNCT
bracis-19032	270	39	analysis	analysis	NOUN
bracis-19032	270	40	of	of	ADP
bracis-19032	270	41	genetic	genetic	ADJ
bracis-19032	270	42	association	association	NOUN
bracis-19032	270	43	using	use	VERB
bracis-19032	270	44	hierarchical	hierarchical	ADJ
bracis-19032	270	45	clustering	clustering	NOUN
bracis-19032	270	46	and	and	CCONJ
bracis-19032	270	47	cluster	cluster	NOUN
bracis-19032	270	48	validation	validation	NOUN
bracis-19032	270	49	indices	index	NOUN
bracis-19032	270	50	.	.	PUNCT
bracis-19032	271	1	genomics	genomic	NOUN
bracis-19032	271	2	109(5	109(5	NUM
bracis-19032	271	3	)	)	PUNCT
bracis-19032	271	4	,	,	PUNCT
bracis-19032	271	5	438–445	438–445	NUM
bracis-19032	271	6	(	(	PUNCT
bracis-19032	271	7	2017	2017	NUM
bracis-19032	271	8	)	)	PUNCT
bracis-19032	271	9	article	article	NOUN
bracis-19032	271	10	  	  	SPACE
bracis-19032	271	11	google	google	PROPN
bracis-19032	271	12	scholar	scholar	NOUN
bracis-19032	271	13	  	  	SPACE
bracis-19032	271	14	rubio	rubio	NOUN
bracis-19032	271	15	,	,	PUNCT
bracis-19032	271	16	e.	e.	PROPN
bracis-19032	271	17	,	,	PUNCT
bracis-19032	271	18	castillo	castillo	PROPN
bracis-19032	271	19	,	,	PUNCT
bracis-19032	271	20	o.	o.	PROPN
bracis-19032	271	21	,	,	PUNCT
bracis-19032	271	22	valdez	valdez	PROPN
bracis-19032	271	23	,	,	PUNCT
bracis-19032	271	24	f.	f.	PROPN
bracis-19032	271	25	,	,	PUNCT
bracis-19032	271	26	melin	melin	PROPN
bracis-19032	271	27	,	,	PUNCT
bracis-19032	271	28	p.	p.	PROPN
bracis-19032	271	29	,	,	PUNCT
bracis-19032	271	30	gonzalez	gonzalez	PROPN
bracis-19032	271	31	,	,	PUNCT
bracis-19032	271	32	c.i	c.i	PROPN
bracis-19032	271	33	.	.	PROPN
bracis-19032	271	34	,	,	PUNCT
bracis-19032	271	35	martinez	martinez	PROPN
bracis-19032	271	36	,	,	PUNCT
bracis-19032	271	37	g.	g.	PROPN
bracis-19032	271	38	:	:	PUNCT
bracis-19032	271	39	an	an	DET
bracis-19032	271	40	extension	extension	NOUN
bracis-19032	271	41	of	of	ADP
bracis-19032	271	42	the	the	DET
bracis-19032	271	43	fuzzy	fuzzy	ADJ
bracis-19032	271	44	possibilistic	possibilistic	ADJ
bracis-19032	271	45	clustering	cluster	VERB
bracis-19032	271	46	algorithm	algorithm	NOUN
bracis-19032	271	47	using	use	VERB
bracis-19032	271	48	type-2	type-2	NUM
bracis-19032	271	49	fuzzy	fuzzy	ADJ
bracis-19032	271	50	logic	logic	NOUN
bracis-19032	271	51	techniques	technique	NOUN
bracis-19032	271	52	.	.	PUNCT
bracis-19032	272	1	adv	adv	PROPN
bracis-19032	272	2	.	.	PUNCT
bracis-19032	272	3	fuzzy	fuzzy	PROPN
bracis-19032	272	4	sys	sys	PROPN
bracis-19032	272	5	.	.	PROPN
bracis-19032	272	6	2017	2017	NUM
bracis-19032	272	7	,	,	PUNCT
bracis-19032	272	8	7094046	7094046	NUM
bracis-19032	272	9	(	(	PUNCT
bracis-19032	272	10	2017	2017	NUM
bracis-19032	272	11	)	)	PUNCT
bracis-19032	272	12	google	google	PROPN
bracis-19032	272	13	scholar	scholar	NOUN
bracis-19032	272	14	  	  	SPACE
bracis-19032	272	15	salvador	salvador	NOUN
bracis-19032	272	16	,	,	PUNCT
bracis-19032	272	17	s.	s.	PROPN
bracis-19032	272	18	,	,	PUNCT
bracis-19032	272	19	chan	chan	PROPN
bracis-19032	272	20	,	,	PUNCT
bracis-19032	272	21	p.	p.	NOUN
bracis-19032	272	22	:	:	PUNCT
bracis-19032	272	23	determining	determine	VERB
bracis-19032	272	24	the	the	DET
bracis-19032	272	25	number	number	NOUN
bracis-19032	272	26	of	of	ADP
bracis-19032	272	27	clusters	cluster	NOUN
bracis-19032	272	28	/	/	SYM
bracis-19032	272	29	segments	segment	NOUN
bracis-19032	272	30	in	in	ADP
bracis-19032	272	31	hierarchical	hierarchical	ADJ
bracis-19032	272	32	clustering	clustering	ADJ
bracis-19032	272	33	/	/	SYM
bracis-19032	272	34	segmentation	segmentation	NOUN
bracis-19032	272	35	algorithms	algorithm	NOUN
bracis-19032	272	36	.	.	PUNCT
bracis-19032	273	1	in	in	ADP
bracis-19032	273	2	:	:	PUNCT
bracis-19032	273	3	16th	16th	ADJ
bracis-19032	273	4	ieee	ieee	NOUN
bracis-19032	273	5	ictai	ictai	PROPN
bracis-19032	273	6	,	,	PUNCT
bracis-19032	273	7	usa	usa	PROPN
bracis-19032	273	8	(	(	PUNCT
bracis-19032	273	9	2004	2004	NUM
bracis-19032	273	10	)	)	PUNCT
bracis-19032	273	11	google	google	PROPN
bracis-19032	273	12	scholar	scholar	NOUN
bracis-19032	273	13	  	  	SPACE
bracis-19032	273	14	silva	silva	NOUN
bracis-19032	273	15	,	,	PUNCT
bracis-19032	273	16	j.a	j.a	PROPN
bracis-19032	273	17	.	.	PROPN
bracis-19032	273	18	,	,	PUNCT
bracis-19032	273	19	hruschka	hruschka	PROPN
bracis-19032	273	20	,	,	PUNCT
bracis-19032	273	21	e.r	e.r	PROPN
bracis-19032	273	22	.	.	PROPN
bracis-19032	273	23	,	,	PUNCT
bracis-19032	273	24	gama	gama	PROPN
bracis-19032	273	25	,	,	PUNCT
bracis-19032	273	26	j.	j.	PROPN
bracis-19032	273	27	:	:	PUNCT
bracis-19032	273	28	an	an	DET
bracis-19032	273	29	evolutionary	evolutionary	ADJ
bracis-19032	273	30	algorithm	algorithm	NOUN
bracis-19032	273	31	for	for	ADP
bracis-19032	273	32	clustering	cluster	VERB
bracis-19032	273	33	data	datum	NOUN
bracis-19032	273	34	streams	stream	NOUN
bracis-19032	273	35	with	with	ADP
bracis-19032	273	36	a	a	DET
bracis-19032	273	37	variable	variable	ADJ
bracis-19032	273	38	number	number	NOUN
bracis-19032	273	39	of	of	ADP
bracis-19032	273	40	clusters	cluster	NOUN
bracis-19032	273	41	.	.	PUNCT
bracis-19032	274	1	eswa	eswa	NOUN
bracis-19032	274	2	67	67	NUM
bracis-19032	274	3	,	,	PUNCT
bracis-19032	274	4	228–238	228–238	NUM
bracis-19032	274	5	(	(	PUNCT
bracis-19032	274	6	2017	2017	NUM
bracis-19032	274	7	)	)	PUNCT
bracis-19032	274	8	google	google	PROPN
bracis-19032	274	9	scholar	scholar	NOUN
bracis-19032	274	10	  	  	SPACE
bracis-19032	274	11	silva	silva	NOUN
bracis-19032	274	12	,	,	PUNCT
bracis-19032	274	13	m.	m.	NOUN
bracis-19032	274	14	,	,	PUNCT
bracis-19032	274	15	santos	santos	PROPN
bracis-19032	274	16	,	,	PUNCT
bracis-19032	274	17	a.	a.	NOUN
bracis-19032	274	18	,	,	PUNCT
bracis-19032	274	19	figueiredo	figueiredo	PROPN
bracis-19032	274	20	,	,	PUNCT
bracis-19032	274	21	e.	e.	PROPN
bracis-19032	274	22	,	,	PUNCT
bracis-19032	274	23	santos	santos	PROPN
bracis-19032	274	24	,	,	PUNCT
bracis-19032	274	25	r.	r.	PROPN
bracis-19032	274	26	,	,	PUNCT
bracis-19032	274	27	sales	sale	NOUN
bracis-19032	274	28	,	,	PUNCT
bracis-19032	274	29	c.	c.	NOUN
bracis-19032	274	30	,	,	PUNCT
bracis-19032	274	31	costa	costa	PROPN
bracis-19032	274	32	,	,	PUNCT
bracis-19032	274	33	j.c.w.a	j.c.w.a	PROPN
bracis-19032	274	34	.	.	PROPN
bracis-19032	274	35	:	:	PUNCT
bracis-19032	274	36	a	a	DET
bracis-19032	274	37	novel	novel	ADJ
bracis-19032	274	38	unsupervised	unsupervised	ADJ
bracis-19032	274	39	approach	approach	NOUN
bracis-19032	274	40	based	base	VERB
bracis-19032	274	41	on	on	ADP
bracis-19032	274	42	a	a	DET
bracis-19032	274	43	genetic	genetic	ADJ
bracis-19032	274	44	algorithm	algorithm	NOUN
bracis-19032	274	45	for	for	ADP
bracis-19032	274	46	structural	structural	ADJ
bracis-19032	274	47	damage	damage	NOUN
bracis-19032	274	48	detection	detection	NOUN
bracis-19032	274	49	in	in	ADP
bracis-19032	274	50	bridges	bridge	NOUN
bracis-19032	274	51	.	.	PUNCT
bracis-19032	275	1	eng	eng	PROPN
bracis-19032	275	2	.	.	PROPN
bracis-19032	275	3	appl	appl	PROPN
bracis-19032	275	4	.	.	PUNCT
bracis-19032	276	1	artif	artif	PROPN
bracis-19032	276	2	.	.	PUNCT
bracis-19032	277	1	intell	intell	PROPN
bracis-19032	277	2	.	.	PUNCT
bracis-19032	278	1	52(c	52(c	NUM
bracis-19032	278	2	)	)	PUNCT
bracis-19032	278	3	,	,	PUNCT
bracis-19032	278	4	168–180	168–180	NUM
bracis-19032	278	5	(	(	PUNCT
bracis-19032	278	6	2016	2016	NUM
bracis-19032	278	7	)	)	PUNCT
bracis-19032	278	8	google	google	PROPN
bracis-19032	278	9	scholar	scholar	NOUN
bracis-19032	278	10	  	  	SPACE
bracis-19032	278	11	silva	silva	NOUN
bracis-19032	278	12	,	,	PUNCT
bracis-19032	278	13	m.	m.	NOUN
bracis-19032	278	14	,	,	PUNCT
bracis-19032	278	15	santos	santos	PROPN
bracis-19032	278	16	,	,	PUNCT
bracis-19032	278	17	a.	a.	NOUN
bracis-19032	278	18	,	,	PUNCT
bracis-19032	278	19	santos	santos	PROPN
bracis-19032	278	20	,	,	PUNCT
bracis-19032	278	21	r.	r.	PROPN
bracis-19032	278	22	,	,	PUNCT
bracis-19032	278	23	figueiredo	figueiredo	PROPN
bracis-19032	278	24	,	,	PUNCT
bracis-19032	278	25	e.	e.	PROPN
bracis-19032	278	26	,	,	PUNCT
bracis-19032	278	27	sales	sale	NOUN
bracis-19032	278	28	,	,	PUNCT
bracis-19032	278	29	c.	c.	NOUN
bracis-19032	278	30	,	,	PUNCT
bracis-19032	278	31	costa	costa	PROPN
bracis-19032	278	32	,	,	PUNCT
bracis-19032	278	33	j.c	j.c	PROPN
bracis-19032	278	34	.	.	PROPN
bracis-19032	278	35	:	:	PUNCT
bracis-19032	278	36	agglomerative	agglomerative	ADJ
bracis-19032	278	37	concentric	concentric	ADJ
bracis-19032	278	38	hypersphere	hypersphere	NOUN
bracis-19032	278	39	clustering	clustering	NOUN
bracis-19032	278	40	applied	apply	VERB
bracis-19032	278	41	to	to	ADP
bracis-19032	278	42	structural	structural	ADJ
bracis-19032	278	43	damage	damage	NOUN
bracis-19032	278	44	detection	detection	NOUN
bracis-19032	278	45	.	.	PUNCT
bracis-19032	279	1	mech	mech	PROPN
bracis-19032	279	2	.	.	PUNCT
bracis-19032	280	1	syst	syst	PROPN
bracis-19032	280	2	.	.	PUNCT
bracis-19032	280	3	signal	signal	PROPN
bracis-19032	280	4	process	process	NOUN
bracis-19032	280	5	.	.	PUNCT
bracis-19032	281	1	92	92	NUM
bracis-19032	281	2	,	,	PUNCT
bracis-19032	281	3	196–212	196–212	NUM
bracis-19032	281	4	(	(	PUNCT
bracis-19032	281	5	2017	2017	NUM
bracis-19032	281	6	)	)	PUNCT
bracis-19032	281	7	article	article	NOUN
bracis-19032	281	8	  	  	SPACE
bracis-19032	281	9	google	google	PROPN
bracis-19032	281	10	scholar	scholar	NOUN
bracis-19032	281	11	  	  	SPACE
bracis-19032	281	12	ultsch	ultsch	NOUN
bracis-19032	281	13	,	,	PUNCT
bracis-19032	281	14	a.	a.	NOUN
bracis-19032	281	15	:	:	PUNCT
bracis-19032	281	16	clustering	cluster	VERB
bracis-19032	281	17	with	with	ADP
bracis-19032	281	18	som	som	NOUN
bracis-19032	281	19	:	:	PUNCT
bracis-19032	281	20	u*c	u*c	NOUN
bracis-19032	281	21	.	.	PUNCT
bracis-19032	282	1	in	in	ADP
bracis-19032	282	2	:	:	PUNCT
bracis-19032	282	3	proceedings	proceeding	NOUN
bracis-19032	282	4	of	of	ADP
bracis-19032	282	5	workshop	workshop	NOUN
bracis-19032	282	6	on	on	ADP
bracis-19032	282	7	self	self	NOUN
bracis-19032	282	8	-	-	PUNCT
bracis-19032	282	9	organizing	organize	VERB
bracis-19032	282	10	maps	map	NOUN
bracis-19032	282	11	,	,	PUNCT
bracis-19032	282	12	pp	pp	ADJ
bracis-19032	282	13	.	.	PUNCT
bracis-19032	283	1	75–82	75–82	NUM
bracis-19032	283	2	,	,	PUNCT
bracis-19032	283	3	january	january	PROPN
bracis-19032	283	4	2005	2005	NUM
bracis-19032	283	5	google	google	PROPN
bracis-19032	283	6	scholar	scholar	NOUN
bracis-19032	283	7	  	  	SPACE
bracis-19032	283	8	wu	wu	PROPN
bracis-19032	283	9	,	,	PUNCT
bracis-19032	283	10	k.l	k.l	PROPN
bracis-19032	283	11	.	.	PROPN
bracis-19032	283	12	,	,	PUNCT
bracis-19032	283	13	yang	yang	PROPN
bracis-19032	283	14	,	,	PUNCT
bracis-19032	283	15	m.s	m.s	PROPN
bracis-19032	283	16	.	.	PUNCT
bracis-19032	283	17	:	:	PUNCT
bracis-19032	284	1	alternative	alternative	ADJ
bracis-19032	284	2	c	c	NOUN
bracis-19032	284	3	-	-	PUNCT
bracis-19032	284	4	means	mean	VERB
bracis-19032	284	5	clustering	clustering	ADJ
bracis-19032	284	6	algorithms	algorithm	NOUN
bracis-19032	284	7	.	.	PUNCT
bracis-19032	285	1	pattern	pattern	NOUN
bracis-19032	285	2	recogn	recogn	VERB
bracis-19032	285	3	.	.	PROPN
bracis-19032	286	1	35	35	NUM
bracis-19032	286	2	,	,	PUNCT
bracis-19032	286	3	2267–2278	2267–2278	NUM
bracis-19032	286	4	(	(	PUNCT
bracis-19032	286	5	2002	2002	NUM
bracis-19032	286	6	)	)	PUNCT
bracis-19032	286	7	article	article	NOUN
bracis-19032	286	8	  	  	SPACE
bracis-19032	286	9	google	google	PROPN
bracis-19032	286	10	scholar	scholar	NOUN
bracis-19032	286	11	  	  	SPACE
bracis-19032	286	12	wu	wu	PROPN
bracis-19032	286	13	,	,	PUNCT
bracis-19032	286	14	k.l	k.l	PROPN
bracis-19032	286	15	.	.	PROPN
bracis-19032	286	16	,	,	PUNCT
bracis-19032	286	17	yang	yang	PROPN
bracis-19032	286	18	,	,	PUNCT
bracis-19032	286	19	m.s	m.s	PROPN
bracis-19032	286	20	.	.	PROPN
bracis-19032	286	21	:	:	PUNCT
bracis-19032	287	1	a	a	DET
bracis-19032	287	2	cluster	cluster	NOUN
bracis-19032	287	3	validity	validity	NOUN
bracis-19032	287	4	index	index	NOUN
bracis-19032	287	5	for	for	ADP
bracis-19032	287	6	fuzzy	fuzzy	ADJ
bracis-19032	287	7	clustering	clustering	NOUN
bracis-19032	287	8	.	.	PUNCT
bracis-19032	288	1	prl	prl	PROPN
bracis-19032	288	2	(	(	PUNCT
bracis-19032	288	3	2005	2005	NUM
bracis-19032	288	4	)	)	PUNCT
bracis-19032	288	5	google	google	PROPN
bracis-19032	288	6	scholar	scholar	NOUN
bracis-19032	288	7	  	  	SPACE
bracis-19032	288	8	xu	xu	PROPN
bracis-19032	288	9	,	,	PUNCT
bracis-19032	288	10	r.	r.	PROPN
bracis-19032	288	11	,	,	PUNCT
bracis-19032	288	12	wunsch	wunsch	PROPN
bracis-19032	288	13	,	,	PUNCT
bracis-19032	288	14	d.	d.	PROPN
bracis-19032	288	15	,	,	PUNCT
bracis-19032	288	16	ii	ii	PROPN
bracis-19032	288	17	.	.	PUNCT
bracis-19032	288	18	:	:	PUNCT
bracis-19032	289	1	survey	survey	NOUN
bracis-19032	289	2	of	of	ADP
bracis-19032	289	3	clustering	clustering	ADJ
bracis-19032	289	4	algorithms	algorithm	NOUN
bracis-19032	289	5	.	.	PUNCT
bracis-19032	290	1	tnn	tnn	PROPN
bracis-19032	290	2	16(3	16(3	PROPN
bracis-19032	290	3	)	)	PUNCT
bracis-19032	290	4	,	,	PUNCT
bracis-19032	290	5	645–678	645–678	NUM
bracis-19032	290	6	(	(	PUNCT
bracis-19032	290	7	2005	2005	NUM
bracis-19032	290	8	)	)	PUNCT
bracis-19032	290	9	google	google	PROPN
bracis-19032	290	10	scholar	scholar	NOUN
bracis-19032	290	11	  	  	SPACE
bracis-19032	290	12	yang	yang	PROPN
bracis-19032	290	13	,	,	PUNCT
bracis-19032	290	14	c.l	c.l	PROPN
bracis-19032	290	15	.	.	PROPN
bracis-19032	290	16	,	,	PUNCT
bracis-19032	290	17	kuo	kuo	PROPN
bracis-19032	290	18	,	,	PUNCT
bracis-19032	290	19	r.	r.	PROPN
bracis-19032	290	20	,	,	PUNCT
bracis-19032	290	21	chien	chien	PROPN
bracis-19032	290	22	,	,	PUNCT
bracis-19032	290	23	c.h	c.h	PROPN
bracis-19032	290	24	.	.	PROPN
bracis-19032	290	25	,	,	PUNCT
bracis-19032	290	26	quyen	quyen	NOUN
bracis-19032	290	27	,	,	PUNCT
bracis-19032	290	28	n.t.p	n.t.p	NOUN
bracis-19032	290	29	.	.	PUNCT
bracis-19032	290	30	:	:	PUNCT
bracis-19032	290	31	non	non	ADJ
bracis-19032	290	32	-	-	ADJ
bracis-19032	290	33	dominated	dominated	ADJ
bracis-19032	290	34	sorting	sort	VERB
bracis-19032	290	35	genetic	genetic	ADJ
bracis-19032	290	36	algorithm	algorithm	NOUN
bracis-19032	290	37	using	use	VERB
bracis-19032	290	38	fuzzy	fuzzy	ADJ
bracis-19032	290	39	membership	membership	NOUN
bracis-19032	290	40	chromosome	chromosome	NOUN
bracis-19032	290	41	for	for	ADP
bracis-19032	290	42	categorical	categorical	ADJ
bracis-19032	290	43	data	datum	NOUN
bracis-19032	290	44	clustering	clustering	NOUN
bracis-19032	290	45	.	.	PUNCT
bracis-19032	291	1	appl	appl	PROPN
bracis-19032	291	2	.	.	PUNCT
bracis-19032	291	3	soft	soft	ADJ
bracis-19032	291	4	comput	comput	NOUN
bracis-19032	291	5	.	.	PUNCT
bracis-19032	292	1	30	30	NUM
bracis-19032	292	2	,	,	PUNCT
bracis-19032	292	3	113–122	113–122	NUM
bracis-19032	292	4	(	(	PUNCT
bracis-19032	292	5	2015	2015	NUM
bracis-19032	292	6	)	)	PUNCT
bracis-19032	292	7	article	article	NOUN
bracis-19032	292	8	  	  	SPACE
bracis-19032	292	9	google	google	PROPN
bracis-19032	292	10	scholar	scholar	NOUN
bracis-19032	292	11	  	  	SPACE
bracis-19032	292	12	zhao	zhao	PROPN
bracis-19032	292	13	,	,	PUNCT
bracis-19032	292	14	q.	q.	PROPN
bracis-19032	292	15	:	:	PUNCT
bracis-19032	292	16	cluster	cluster	NOUN
bracis-19032	292	17	validity	validity	NOUN
bracis-19032	292	18	in	in	ADP
bracis-19032	292	19	clustering	clustering	ADJ
bracis-19032	292	20	methods	method	NOUN
bracis-19032	292	21	.	.	PUNCT
bracis-19032	293	1	ph.d	ph.d	PROPN
bracis-19032	293	2	.	.	PUNCT
bracis-19032	294	1	thesis	thesis	NOUN
bracis-19032	294	2	,	,	PUNCT
bracis-19032	294	3	uef	uef	PROPN
bracis-19032	294	4	,	,	PUNCT
bracis-19032	294	5	june	june	PROPN
bracis-19032	294	6	2012	2012	NUM
bracis-19032	294	7	google	google	PROPN
bracis-19032	294	8	scholar	scholar	NOUN
bracis-19032	294	9	  	  	SPACE
bracis-19032	294	10	download	download	NOUN
bracis-19032	294	11	references	reference	NOUN
bracis-19032	294	12	author	author	NOUN
bracis-19032	294	13	information	information	NOUN
bracis-19032	294	14	authors	author	NOUN
bracis-19032	294	15	and	and	CCONJ
bracis-19032	294	16	affiliations	affiliation	NOUN
bracis-19032	294	17	applied	apply	VERB
bracis-19032	294	18	electromagnetism	electromagnetism	NOUN
bracis-19032	294	19	laboratory	laboratory	NOUN
bracis-19032	294	20	,	,	PUNCT
bracis-19032	294	21	federal	federal	ADJ
bracis-19032	294	22	university	university	PROPN
bracis-19032	294	23	of	of	ADP
bracis-19032	294	24	pará	pará	PROPN
bracis-19032	294	25	,	,	PUNCT
bracis-19032	294	26	01	01	NUM
bracis-19032	294	27	augusto	augusto	PROPN
bracis-19032	294	28	corrêa	corrêa	PROPN
bracis-19032	294	29	street	street	PROPN
bracis-19032	294	30	,	,	PUNCT
bracis-19032	294	31	guamá	guamá	NOUN
bracis-19032	294	32	,	,	PUNCT
bracis-19032	294	33	belém	belém	NOUN
bracis-19032	294	34	,	,	PUNCT
bracis-19032	294	35	pa	pa	PROPN
bracis-19032	294	36	,	,	PUNCT
bracis-19032	294	37	66.075	66.075	NUM
bracis-19032	294	38	-	-	SYM
bracis-19032	294	39	110	110	NUM
bracis-19032	294	40	,	,	PUNCT
bracis-19032	294	41	brazil	brazil	PROPN
bracis-19032	294	42	caio	caio	PROPN
bracis-19032	294	43	flexa	flexa	PROPN
bracis-19032	294	44	,	,	PUNCT
bracis-19032	294	45	 	 	SPACE
bracis-19032	294	46	walisson	walisson	NOUN
bracis-19032	294	47	gomes	gome	NOUN
bracis-19032	294	48	,	,	PUNCT
bracis-19032	294	49	 	 	SPACE
bracis-19032	294	50	igor	igor	PROPN
bracis-19032	294	51	moreira	moreira	PROPN
bracis-19032	294	52	,	,	PUNCT
bracis-19032	294	53	 	 	SPACE
bracis-19032	294	54	reginaldo	reginaldo	PROPN
bracis-19032	294	55	santos	santo	NOUN
bracis-19032	294	56	,	,	PUNCT
bracis-19032	294	57	 	 	SPACE
bracis-19032	294	58	claudomiro	claudomiro	NOUN
bracis-19032	294	59	sales	sale	NOUN
bracis-19032	294	60	 	 	SPACE
bracis-19032	294	61	&	&	CCONJ
bracis-19032	294	62	 	 	SPACE
bracis-19032	294	63	moisés	moisés	NOUN
bracis-19032	294	64	silva	silva	PROPN
bracis-19032	294	65	authors	author	NOUN
bracis-19032	294	66	caio	caio	PROPN
bracis-19032	294	67	flexaview	flexaview	PROPN
bracis-19032	294	68	author	author	NOUN
bracis-19032	294	69	publications	publication	NOUN
bracis-19032	294	70	search	search	NOUN
bracis-19032	294	71	author	author	NOUN
bracis-19032	294	72	on	on	ADP
bracis-19032	294	73	:	:	PUNCT
bracis-19032	294	74	pubmed	pubmed	PROPN
bracis-19032	294	75	 	 	SPACE
bracis-19032	294	76	google	google	PROPN
bracis-19032	294	77	scholar	scholar	PROPN
bracis-19032	294	78	walisson	walisson	NOUN
bracis-19032	294	79	gomesview	gomesview	NOUN
bracis-19032	294	80	author	author	NOUN
bracis-19032	294	81	publications	publication	NOUN
bracis-19032	294	82	search	search	NOUN
bracis-19032	294	83	author	author	NOUN
bracis-19032	294	84	on	on	ADP
bracis-19032	294	85	:	:	PUNCT
bracis-19032	294	86	pubmed	pubmed	PROPN
bracis-19032	294	87	 	 	SPACE
bracis-19032	294	88	google	google	PROPN
bracis-19032	294	89	scholar	scholar	PROPN
bracis-19032	294	90	igor	igor	PROPN
bracis-19032	294	91	moreiraview	moreiraview	PROPN
bracis-19032	294	92	author	author	NOUN
bracis-19032	294	93	publications	publication	NOUN
bracis-19032	294	94	search	search	NOUN
bracis-19032	294	95	author	author	NOUN
bracis-19032	294	96	on	on	ADP
bracis-19032	294	97	:	:	PUNCT
bracis-19032	294	98	pubmed	pubmed	PROPN
bracis-19032	294	99	 	 	SPACE
bracis-19032	294	100	google	google	PROPN
bracis-19032	294	101	scholar	scholar	NOUN
bracis-19032	294	102	reginaldo	reginaldo	NOUN
bracis-19032	294	103	santosview	santosview	NOUN
bracis-19032	294	104	author	author	NOUN
bracis-19032	294	105	publications	publication	NOUN
bracis-19032	294	106	search	search	NOUN
bracis-19032	294	107	author	author	NOUN
bracis-19032	294	108	on	on	ADP
bracis-19032	294	109	:	:	PUNCT
bracis-19032	294	110	pubmed	pubmed	PROPN
bracis-19032	294	111	 	 	SPACE
bracis-19032	294	112	google	google	PROPN
bracis-19032	294	113	scholar	scholar	PROPN
bracis-19032	294	114	claudomiro	claudomiro	PROPN
bracis-19032	294	115	salesview	salesview	PROPN
bracis-19032	294	116	author	author	NOUN
bracis-19032	294	117	publications	publication	NOUN
bracis-19032	294	118	search	search	NOUN
bracis-19032	294	119	author	author	NOUN
bracis-19032	294	120	on	on	ADP
bracis-19032	294	121	:	:	PUNCT
bracis-19032	294	122	pubmed	pubmed	PROPN
bracis-19032	294	123	 	 	SPACE
bracis-19032	294	124	google	google	PROPN
bracis-19032	294	125	scholar	scholar	NOUN
bracis-19032	294	126	moisés	moisés	NOUN
bracis-19032	294	127	silvaview	silvaview	NOUN
bracis-19032	294	128	author	author	NOUN
bracis-19032	294	129	publications	publication	NOUN
bracis-19032	294	130	search	search	NOUN
bracis-19032	294	131	author	author	NOUN
bracis-19032	294	132	on	on	ADP
bracis-19032	294	133	:	:	PUNCT
bracis-19032	294	134	pubmed	pubmed	PROPN
bracis-19032	294	135	 	 	SPACE
bracis-19032	294	136	google	google	PROPN
bracis-19032	294	137	scholar	scholar	NOUN
bracis-19032	294	138	corresponding	correspond	VERB
bracis-19032	294	139	author	author	NOUN
bracis-19032	294	140	correspondence	correspondence	NOUN
bracis-19032	294	141	to	to	ADP
bracis-19032	294	142	caio	caio	PROPN
bracis-19032	294	143	flexa	flexa	PROPN
bracis-19032	294	144	.	.	PUNCT
bracis-19032	295	1	editor	editor	NOUN
bracis-19032	295	2	information	information	NOUN
bracis-19032	295	3	editors	editor	NOUN
bracis-19032	295	4	and	and	CCONJ
bracis-19032	295	5	affiliations	affiliation	NOUN
bracis-19032	295	6	universidade	universidade	PROPN
bracis-19032	295	7	federal	federal	PROPN
bracis-19032	295	8	de	de	X
bracis-19032	295	9	sergipe	sergipe	PROPN
bracis-19032	295	10	,	,	PUNCT
bracis-19032	295	11	são	são	NOUN
bracis-19032	295	12	cristóvão	cristóvão	PROPN
bracis-19032	295	13	,	,	PUNCT
bracis-19032	295	14	brazil	brazil	PROPN
bracis-19032	295	15	andré	andré	PROPN
bracis-19032	295	16	britto	britto	PROPN
bracis-19032	295	17	universidade	universidade	PROPN
bracis-19032	295	18	de	de	PROPN
bracis-19032	295	19	são	são	PROPN
bracis-19032	295	20	paulo	paulo	PROPN
bracis-19032	295	21	,	,	PUNCT
bracis-19032	295	22	são	são	PROPN
bracis-19032	295	23	paulo	paulo	PROPN
bracis-19032	295	24	,	,	PUNCT
bracis-19032	295	25	brazil	brazil	PROPN
bracis-19032	295	26	karina	karina	PROPN
bracis-19032	295	27	valdivia	valdivia	PROPN
bracis-19032	295	28	delgado	delgado	VERB
bracis-19032	295	29	rights	right	NOUN
bracis-19032	295	30	and	and	CCONJ
bracis-19032	295	31	permissions	permission	NOUN
bracis-19032	295	32	reprints	reprint	NOUN
bracis-19032	295	33	and	and	CCONJ
bracis-19032	295	34	permissions	permission	VERB
bracis-19032	295	35	copyright	copyright	NOUN
bracis-19032	295	36	information	information	NOUN
bracis-19032	295	37	©	©	PROPN
bracis-19032	295	38	2021	2021	NUM
bracis-19032	295	39	springer	springer	NOUN
bracis-19032	295	40	nature	nature	NOUN
bracis-19032	295	41	switzerland	switzerland	PROPN
bracis-19032	295	42	ag	ag	PROPN
bracis-19032	295	43	about	about	ADP
bracis-19032	295	44	this	this	DET
bracis-19032	295	45	paper	paper	NOUN
bracis-19032	295	46	cite	cite	VERB
bracis-19032	295	47	this	this	DET
bracis-19032	295	48	paper	paper	NOUN
bracis-19032	295	49	flexa	flexa	NOUN
bracis-19032	295	50	,	,	PUNCT
bracis-19032	295	51	c.	c.	PROPN
bracis-19032	295	52	,	,	PUNCT
bracis-19032	295	53	gomes	gomes	PROPN
bracis-19032	295	54	,	,	PUNCT
bracis-19032	295	55	w.	w.	PROPN
bracis-19032	295	56	,	,	PUNCT
bracis-19032	295	57	moreira	moreira	PROPN
bracis-19032	295	58	,	,	PUNCT
bracis-19032	295	59	i.	i.	PROPN
bracis-19032	295	60	,	,	PUNCT
bracis-19032	295	61	santos	santos	PROPN
bracis-19032	295	62	,	,	PUNCT
bracis-19032	295	63	r.	r.	PROPN
bracis-19032	295	64	,	,	PUNCT
bracis-19032	295	65	sales	sale	NOUN
bracis-19032	295	66	,	,	PUNCT
bracis-19032	295	67	c.	c.	NOUN
bracis-19032	295	68	,	,	PUNCT
bracis-19032	295	69	silva	silva	PROPN
bracis-19032	295	70	,	,	PUNCT
bracis-19032	295	71	m.	m.	NOUN
bracis-19032	295	72	(	(	PUNCT
bracis-19032	295	73	2021	2021	NUM
bracis-19032	295	74	)	)	PUNCT
bracis-19032	295	75	.	.	PUNCT
bracis-19032	296	1	improving	improve	VERB
bracis-19032	296	2	a	a	DET
bracis-19032	296	3	genetic	genetic	ADJ
bracis-19032	296	4	clustering	clustering	NOUN
bracis-19032	296	5	approach	approach	NOUN
bracis-19032	296	6	with	with	ADP
bracis-19032	296	7	a	a	DET
bracis-19032	296	8	cvi	cvi	NOUN
bracis-19032	296	9	-	-	PUNCT
bracis-19032	296	10	based	base	VERB
bracis-19032	296	11	objective	objective	ADJ
bracis-19032	296	12	function	function	NOUN
bracis-19032	296	13	.	.	PUNCT
bracis-19032	297	1	in	in	ADP
bracis-19032	297	2	:	:	PUNCT
bracis-19032	297	3	britto	britto	PROPN
bracis-19032	297	4	,	,	PUNCT
bracis-19032	297	5	a.	a.	PROPN
bracis-19032	297	6	,	,	PUNCT
bracis-19032	297	7	valdivia	valdivia	PROPN
bracis-19032	297	8	delgado	delgado	PROPN
bracis-19032	297	9	,	,	PUNCT
bracis-19032	297	10	k.	k.	PROPN
bracis-19032	297	11	(	(	PUNCT
bracis-19032	297	12	eds	eds	PROPN
bracis-19032	297	13	)	)	PUNCT
bracis-19032	297	14	intelligent	intelligent	ADJ
bracis-19032	297	15	systems	system	NOUN
bracis-19032	297	16	.	.	PUNCT
bracis-19032	298	1	bracis	bracis	PROPN
bracis-19032	298	2	2021	2021	NUM
bracis-19032	298	3	.	.	PUNCT
bracis-19032	299	1	lecture	lecture	NOUN
bracis-19032	299	2	notes	note	NOUN
bracis-19032	299	3	in	in	ADP
bracis-19032	299	4	computer	computer	NOUN
bracis-19032	299	5	science	science	NOUN
bracis-19032	299	6	(	(	PUNCT
bracis-19032	299	7	)	)	PUNCT
bracis-19032	299	8	,	,	PUNCT
bracis-19032	299	9	vol	vol	NOUN
bracis-19032	299	10	13073	13073	NUM
bracis-19032	299	11	.	.	PUNCT
bracis-19032	300	1	springer	springer	NOUN
bracis-19032	300	2	,	,	PUNCT
bracis-19032	300	3	cham	cham	PROPN
bracis-19032	300	4	.	.	PUNCT
bracis-19032	301	1	https://doi.org/10.1007/978-3-030-91702-9_14	https://doi.org/10.1007/978-3-030-91702-9_14	AUX
bracis-19032	301	2	download	download	VERB
bracis-19032	301	3	citation	citation	NOUN
bracis-19032	301	4	.ris	.ris	PUNCT
bracis-19032	301	5	.enw	.enw	PROPN
bracis-19032	301	6	.bib	.bib	PUNCT
bracis-19032	302	1	doi	doi	PROPN
bracis-19032	302	2	:	:	PUNCT
bracis-19032	302	3	https://doi.org/10.1007/978-3-030-91702-9_14	https://doi.org/10.1007/978-3-030-91702-9_14	AUX
bracis-19032	302	4	published	publish	VERB
bracis-19032	302	5	:	:	PUNCT
bracis-19032	302	6	28	28	NUM
bracis-19032	302	7	november	november	PROPN
bracis-19032	302	8	2021	2021	NUM
bracis-19032	302	9	publisher	publisher	NOUN
bracis-19032	302	10	name	name	NOUN
bracis-19032	302	11	:	:	PUNCT
bracis-19032	302	12	springer	springer	NOUN
bracis-19032	302	13	,	,	PUNCT
bracis-19032	302	14	cham	cham	PROPN
bracis-19032	302	15	print	print	PROPN
bracis-19032	302	16	isbn	isbn	PROPN
bracis-19032	302	17	:	:	PUNCT
bracis-19032	302	18	978	978	NUM
bracis-19032	302	19	-	-	SYM
bracis-19032	302	20	3	3	NUM
bracis-19032	302	21	-	-	PUNCT
bracis-19032	302	22	030	030	NUM
bracis-19032	302	23	-	-	PUNCT
bracis-19032	302	24	91701	91701	NUM
bracis-19032	302	25	-	-	SYM
bracis-19032	302	26	2	2	NUM
bracis-19032	302	27	online	online	ADJ
bracis-19032	302	28	isbn	isbn	NOUN
bracis-19032	302	29	:	:	PUNCT
bracis-19032	302	30	978	978	NUM
bracis-19032	302	31	-	-	SYM
bracis-19032	302	32	3	3	NUM
bracis-19032	302	33	-	-	PUNCT
bracis-19032	302	34	030	030	NUM
bracis-19032	302	35	-	-	PUNCT
bracis-19032	302	36	91702	91702	NUM
bracis-19032	302	37	-	-	SYM
bracis-19032	302	38	9	9	NUM
bracis-19032	302	39	ebook	ebook	NOUN
bracis-19032	302	40	packages	package	NOUN
bracis-19032	302	41	:	:	PUNCT
bracis-19032	302	42	computer	computer	NOUN
bracis-19032	302	43	sciencecomputer	sciencecomputer	NOUN
bracis-19032	302	44	science	science	NOUN
bracis-19032	302	45	(	(	PUNCT
bracis-19032	302	46	r0	r0	NOUN
bracis-19032	302	47	)	)	PUNCT
bracis-19032	302	48	share	share	VERB
bracis-19032	302	49	this	this	DET
bracis-19032	302	50	paper	paper	NOUN
bracis-19032	302	51	anyone	anyone	PRON
bracis-19032	302	52	you	you	PRON
bracis-19032	302	53	share	share	VERB
bracis-19032	302	54	the	the	DET
bracis-19032	302	55	following	follow	VERB
bracis-19032	302	56	link	link	NOUN
bracis-19032	302	57	with	with	ADP
bracis-19032	302	58	will	will	AUX
bracis-19032	302	59	be	be	AUX
bracis-19032	302	60	able	able	ADJ
bracis-19032	302	61	to	to	PART
bracis-19032	302	62	read	read	VERB
bracis-19032	302	63	this	this	DET
bracis-19032	302	64	content	content	NOUN
bracis-19032	302	65	:	:	PUNCT
bracis-19032	302	66	get	get	VERB
bracis-19032	302	67	shareable	shareable	ADJ
bracis-19032	302	68	linksorry	linksorry	NOUN
bracis-19032	302	69	,	,	PUNCT
bracis-19032	302	70	a	a	DET
bracis-19032	302	71	shareable	shareable	ADJ
bracis-19032	302	72	link	link	NOUN
bracis-19032	302	73	is	be	AUX
bracis-19032	302	74	not	not	PART
bracis-19032	302	75	currently	currently	ADV
bracis-19032	302	76	available	available	ADJ
bracis-19032	302	77	for	for	ADP
bracis-19032	302	78	this	this	DET
bracis-19032	302	79	article	article	NOUN
bracis-19032	302	80	.	.	PUNCT
bracis-19032	303	1	copy	copy	VERB
bracis-19032	303	2	shareable	shareable	ADJ
bracis-19032	303	3	link	link	NOUN
bracis-19032	303	4	to	to	PART
bracis-19032	303	5	clipboard	clipboard	NOUN
bracis-19032	303	6	provided	provide	VERB
bracis-19032	303	7	by	by	ADP
bracis-19032	303	8	the	the	DET
bracis-19032	303	9	springer	springer	NOUN
bracis-19032	303	10	nature	nature	PROPN
bracis-19032	303	11	sharedit	sharedit	PROPN
bracis-19032	303	12	content	content	NOUN
bracis-19032	303	13	-	-	PUNCT
bracis-19032	303	14	sharing	share	VERB
bracis-19032	303	15	initiative	initiative	NOUN
bracis-19032	303	16	keywords	keyword	VERB
bracis-19032	303	17	genetic	genetic	ADJ
bracis-19032	303	18	algorithm	algorithm	NOUN
bracis-19032	303	19	automatic	automatic	ADJ
bracis-19032	303	20	clustering	clustering	ADJ
bracis-19032	303	21	algorithm	algorithm	NOUN
bracis-19032	303	22	decision	decision	NOUN
bracis-19032	303	23	boundary	boundary	ADJ
bracis-19032	303	24	analysis	analysis	NOUN
bracis-19032	303	25	mutual	mutual	ADJ
bracis-19032	303	26	equidistant	equidistant	ADV
bracis-19032	303	27	-	-	PUNCT
bracis-19032	303	28	scattering	scatter	VERB
bracis-19032	303	29	criterion	criterion	NOUN
bracis-19032	303	30	publish	publish	VERB
bracis-19032	303	31	with	with	ADP
bracis-19032	303	32	us	us	PROPN
bracis-19032	303	33	policies	policy	NOUN
bracis-19032	303	34	and	and	CCONJ
bracis-19032	303	35	ethics	ethic	NOUN
bracis-19032	303	36	profiles	profile	NOUN
bracis-19032	303	37	moisés	moisés	VERB
bracis-19032	303	38	silva	silva	NOUN
bracis-19032	303	39	view	view	NOUN
bracis-19032	303	40	author	author	NOUN
bracis-19032	303	41	profile	profile	NOUN
bracis-19032	303	42	search	search	NOUN
bracis-19032	303	43	search	search	NOUN
bracis-19032	303	44	by	by	ADP
bracis-19032	303	45	keyword	keyword	NOUN
bracis-19032	303	46	or	or	CCONJ
bracis-19032	303	47	author	author	NOUN
bracis-19032	303	48	search	search	NOUN
bracis-19032	303	49	navigation	navigation	NOUN
bracis-19032	303	50	find	find	VERB
bracis-19032	303	51	a	a	DET
bracis-19032	303	52	journal	journal	NOUN
bracis-19032	303	53	publish	publish	VERB
bracis-19032	303	54	with	with	ADP
bracis-19032	303	55	us	we	PRON
bracis-19032	303	56	track	track	VERB
bracis-19032	303	57	your	your	PRON
bracis-19032	303	58	research	research	NOUN
bracis-19032	303	59	discover	discover	VERB
bracis-19032	303	60	content	content	NOUN
bracis-19032	303	61	journals	journal	NOUN
bracis-19032	303	62	a	a	DET
bracis-19032	303	63	-	-	PUNCT
bracis-19032	303	64	z	z	NOUN
bracis-19032	303	65	books	book	NOUN
bracis-19032	303	66	a	a	DET
bracis-19032	303	67	-	-	PUNCT
bracis-19032	303	68	z	z	NOUN
bracis-19032	303	69	publish	publish	NOUN
bracis-19032	303	70	with	with	ADP
bracis-19032	303	71	us	us	PROPN
bracis-19032	303	72	journal	journal	PROPN
bracis-19032	303	73	finder	finder	PROPN
bracis-19032	303	74	publish	publish	VERB
bracis-19032	303	75	your	your	PRON
bracis-19032	303	76	research	research	NOUN
bracis-19032	303	77	language	language	NOUN
bracis-19032	303	78	editing	edit	VERB
bracis-19032	303	79	open	open	ADJ
bracis-19032	303	80	access	access	NOUN
bracis-19032	303	81	publishing	publishing	NOUN
bracis-19032	303	82	products	product	NOUN
bracis-19032	303	83	and	and	CCONJ
bracis-19032	303	84	services	service	NOUN
bracis-19032	303	85	our	our	PRON
bracis-19032	303	86	products	product	NOUN
bracis-19032	303	87	librarians	librarian	VERB
bracis-19032	303	88	societies	society	NOUN
bracis-19032	303	89	partners	partner	NOUN
bracis-19032	303	90	and	and	CCONJ
bracis-19032	303	91	advertisers	advertiser	NOUN
bracis-19032	303	92	our	our	PRON
bracis-19032	303	93	brands	brand	NOUN
bracis-19032	303	94	springer	springer	NOUN
bracis-19032	303	95	nature	nature	PROPN
bracis-19032	303	96	portfolio	portfolio	PROPN
bracis-19032	303	97	bmc	bmc	PROPN
bracis-19032	303	98	palgrave	palgrave	PROPN
bracis-19032	303	99	macmillan	macmillan	PROPN
bracis-19032	303	100	apress	apress	PROPN
bracis-19032	303	101	discover	discover	VERB
bracis-19032	303	102	your	your	PRON
bracis-19032	303	103	privacy	privacy	NOUN
bracis-19032	303	104	choices	choice	NOUN
bracis-19032	303	105	/	/	SYM
bracis-19032	303	106	manage	manage	NOUN
bracis-19032	303	107	cookies	cookie	NOUN
bracis-19032	303	108	your	your	PRON
bracis-19032	303	109	us	us	PROPN
bracis-19032	304	1	state	state	NOUN
bracis-19032	304	2	privacy	privacy	NOUN
bracis-19032	304	3	rights	right	NOUN
bracis-19032	304	4	accessibility	accessibility	NOUN
bracis-19032	304	5	statement	statement	NOUN
bracis-19032	304	6	terms	term	NOUN
bracis-19032	304	7	and	and	CCONJ
bracis-19032	304	8	conditions	condition	NOUN
bracis-19032	304	9	privacy	privacy	NOUN
bracis-19032	304	10	policy	policy	NOUN
bracis-19032	304	11	help	help	NOUN
bracis-19032	304	12	and	and	CCONJ
bracis-19032	304	13	support	support	VERB
bracis-19032	304	14	legal	legal	ADJ
bracis-19032	304	15	notice	notice	NOUN
bracis-19032	304	16	cancel	cancel	VERB
bracis-19032	304	17	contracts	contract	NOUN
bracis-19032	304	18	here	here	ADV
bracis-19032	304	19	129.74.145.123	129.74.145.123	NUM
bracis-19032	304	20	hesburgh	hesburgh	PROPN
bracis-19032	304	21	library	library	PROPN
bracis-19032	304	22	er	er	INTJ
bracis-19032	304	23	unit	unit	NOUN
bracis-19032	304	24	(	(	PUNCT
bracis-19032	304	25	3005732405	3005732405	NUM
bracis-19032	304	26	)	)	PUNCT
bracis-19032	304	27	northeast	northeast	ADJ
bracis-19032	304	28	research	research	NOUN
bracis-19032	304	29	libraries	library	NOUN
bracis-19032	304	30	(	(	PUNCT
bracis-19032	304	31	nerl	nerl	PROPN
bracis-19032	304	32	)	)	PUNCT
bracis-19032	304	33	(	(	PUNCT
bracis-19032	304	34	8200828607	8200828607	NUM
bracis-19032	304	35	)	)	PUNCT
bracis-19032	304	36	nerl	nerl	VERB
bracis-19032	304	37	ta	ta	X
bracis-19032	304	38	account	account	NOUN
bracis-19032	304	39	(	(	PUNCT
bracis-19032	304	40	3006206169	3006206169	NUM
bracis-19032	304	41	)	)	PUNCT
bracis-19032	304	42	university	university	NOUN
bracis-19032	304	43	of	of	ADP
bracis-19032	304	44	notre	notre	PROPN
bracis-19032	304	45	dame	dame	PROPN
bracis-19032	304	46	hesburgh	hesburgh	PROPN
bracis-19032	304	47	library	library	NOUN
bracis-19032	304	48	(	(	PUNCT
bracis-19032	304	49	3000184373	3000184373	NUM
bracis-19032	304	50	)	)	PUNCT
bracis-19032	305	1	©	©	ADP
bracis-19032	305	2	2025	2025	NUM
bracis-19032	305	3	springer	springer	NOUN
bracis-19032	305	4	nature	nature	NOUN