id	sid	tid	token	lemma	pos
cana-1242	1	1	communications	communication	NOUN
cana-1242	1	2	on	on	ADP
cana-1242	1	3	applied	apply	VERB
cana-1242	1	4	nonlinear	nonlinear	ADJ
cana-1242	1	5	analysis	analysis	NOUN
cana-1242	1	6	issn	issn	NOUN
cana-1242	1	7	:	:	PUNCT
cana-1242	1	8	1074	1074	NUM
cana-1242	1	9	-	-	PUNCT
cana-1242	1	10	133x	133x	NUM
cana-1242	1	11	vol	vol	NOUN
cana-1242	1	12	31	31	NUM
cana-1242	1	13	no	no	NOUN
cana-1242	1	14	.	.	PUNCT
cana-1242	2	1	6s	6s	NUM
cana-1242	2	2	(	(	PUNCT
cana-1242	2	3	2024	2024	NUM
cana-1242	2	4	)	)	PUNCT
cana-1242	2	5	538	538	NUM
cana-1242	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	2	7	fuzzy	fuzzy	ADJ
cana-1242	2	8	membership	membership	NOUN
cana-1242	2	9	partition	partition	NOUN
cana-1242	2	10	based	base	VERB
cana-1242	2	11	effective	effective	ADJ
cana-1242	2	12	hierarchical	hierarchical	ADJ
cana-1242	2	13	agglomerative	agglomerative	ADJ
cana-1242	2	14	flat	flat	ADJ
cana-1242	2	15	clustering	clustering	NOUN
cana-1242	2	16	method	method	NOUN
cana-1242	2	17	for	for	ADP
cana-1242	2	18	high	high	ADJ
cana-1242	2	19	dimensional	dimensional	ADJ
cana-1242	2	20	data	datum	NOUN
cana-1242	2	21	1s.sivasankari	1s.sivasankari	NUM
cana-1242	2	22	,	,	PUNCT
cana-1242	2	23	2dr.s.sukumaran	2dr.s.sukumaran	NUM
cana-1242	2	24	1ph.d	1ph.d	NUM
cana-1242	2	25	research	research	NOUN
cana-1242	2	26	scholar	scholar	NOUN
cana-1242	2	27	,	,	PUNCT
cana-1242	2	28	erode	erode	NOUN
cana-1242	2	29	arts	art	NOUN
cana-1242	2	30	and	and	CCONJ
cana-1242	2	31	science	science	PROPN
cana-1242	2	32	college	college	PROPN
cana-1242	2	33	,	,	PUNCT
cana-1242	2	34	erode	erode	VERB
cana-1242	2	35	,	,	PUNCT
cana-1242	2	36	tamilnadu	tamilnadu	NOUN
cana-1242	2	37	,	,	PUNCT
cana-1242	2	38	india	india	PROPN
cana-1242	2	39	,	,	PUNCT
cana-1242	2	40	2associate	2associate	NUM
cana-1242	2	41	professor	professor	NOUN
cana-1242	2	42	,	,	PUNCT
cana-1242	2	43	erode	erode	NOUN
cana-1242	2	44	arts	art	NOUN
cana-1242	2	45	and	and	CCONJ
cana-1242	2	46	science	science	PROPN
cana-1242	2	47	college	college	PROPN
cana-1242	2	48	,	,	PUNCT
cana-1242	2	49	erode	erode	VERB
cana-1242	2	50	,	,	PUNCT
cana-1242	2	51	tamilnadu	tamilnadu	NOUN
cana-1242	2	52	,	,	PUNCT
cana-1242	2	53	india	india	PROPN
cana-1242	2	54	1sivamirtha@gmail.com	1sivamirtha@gmail.com	NUM
cana-1242	2	55	article	article	NOUN
cana-1242	2	56	history	history	NOUN
cana-1242	2	57	:	:	PUNCT
cana-1242	2	58	received	receive	VERB
cana-1242	2	59	:	:	PUNCT
cana-1242	2	60	20	20	NUM
cana-1242	2	61	-	-	SYM
cana-1242	2	62	06	06	NUM
cana-1242	2	63	-	-	PUNCT
cana-1242	2	64	2024	2024	NUM
cana-1242	2	65	revised	revise	VERB
cana-1242	2	66	:	:	PUNCT
cana-1242	2	67	20	20	NUM
cana-1242	2	68	-	-	SYM
cana-1242	2	69	07	07	NUM
cana-1242	2	70	-	-	PUNCT
cana-1242	2	71	2024	2024	NUM
cana-1242	2	72	accepted	accept	VERB
cana-1242	2	73	:	:	PUNCT
cana-1242	2	74	08	08	NUM
cana-1242	2	75	-	-	SYM
cana-1242	2	76	08	08	NUM
cana-1242	2	77	-	-	PUNCT
cana-1242	2	78	2024	2024	NUM
cana-1242	2	79	abstract	abstract	NOUN
cana-1242	2	80	:	:	PUNCT
cana-1242	3	1	introduction	introduction	NOUN
cana-1242	3	2	:	:	PUNCT
cana-1242	3	3	hierarchical	hierarchical	ADJ
cana-1242	3	4	clustering	clustering	NOUN
cana-1242	3	5	is	be	AUX
cana-1242	3	6	an	an	DET
cana-1242	3	7	unsupervised	unsupervised	ADJ
cana-1242	3	8	powerful	powerful	ADJ
cana-1242	3	9	method	method	NOUN
cana-1242	3	10	for	for	ADP
cana-1242	3	11	empirical	empirical	ADJ
cana-1242	3	12	knowledge	knowledge	NOUN
cana-1242	3	13	interpretation	interpretation	NOUN
cana-1242	3	14	from	from	ADP
cana-1242	3	15	data	data	PROPN
cana-1242	3	16	.	.	PUNCT
cana-1242	4	1	it	it	PRON
cana-1242	4	2	has	have	VERB
cana-1242	4	3	a	a	DET
cana-1242	4	4	fundamental	fundamental	ADJ
cana-1242	4	5	role	role	NOUN
cana-1242	4	6	in	in	ADP
cana-1242	4	7	understanding	understand	VERB
cana-1242	4	8	the	the	DET
cana-1242	4	9	complex	complex	ADJ
cana-1242	4	10	pattern	pattern	NOUN
cana-1242	4	11	in	in	ADP
cana-1242	4	12	huge	huge	ADJ
cana-1242	4	13	datasets	dataset	NOUN
cana-1242	4	14	.	.	PUNCT
cana-1242	5	1	it	it	PRON
cana-1242	5	2	creates	create	VERB
cana-1242	5	3	a	a	DET
cana-1242	5	4	hierarchical	hierarchical	ADJ
cana-1242	5	5	representation	representation	NOUN
cana-1242	5	6	of	of	ADP
cana-1242	5	7	data	datum	NOUN
cana-1242	5	8	by	by	ADP
cana-1242	5	9	forming	form	VERB
cana-1242	5	10	clusters	cluster	NOUN
cana-1242	5	11	in	in	ADP
cana-1242	5	12	two	two	NUM
cana-1242	5	13	ways	way	NOUN
cana-1242	5	14	namely	namely	ADV
cana-1242	5	15	agglomerative	agglomerative	ADJ
cana-1242	5	16	(	(	PUNCT
cana-1242	5	17	bottom	bottom	NOUN
cana-1242	5	18	-	-	PUNCT
cana-1242	5	19	up	up	NOUN
cana-1242	5	20	)	)	PUNCT
cana-1242	5	21	and	and	CCONJ
cana-1242	5	22	divisive	divisive	ADJ
cana-1242	5	23	(	(	PUNCT
cana-1242	5	24	topdown	topdown	ADJ
cana-1242	5	25	)	)	PUNCT
cana-1242	5	26	.	.	PUNCT
cana-1242	6	1	the	the	DET
cana-1242	6	2	main	main	ADJ
cana-1242	6	3	advantage	advantage	NOUN
cana-1242	6	4	is	be	AUX
cana-1242	6	5	that	that	SCONJ
cana-1242	6	6	it	it	PRON
cana-1242	6	7	does	do	AUX
cana-1242	6	8	not	not	PART
cana-1242	6	9	need	need	VERB
cana-1242	6	10	to	to	PART
cana-1242	6	11	fix	fix	VERB
cana-1242	6	12	number	number	NOUN
cana-1242	6	13	of	of	ADP
cana-1242	6	14	clusters	cluster	NOUN
cana-1242	6	15	.	.	PUNCT
cana-1242	7	1	objectives	objective	NOUN
cana-1242	7	2	:	:	PUNCT
cana-1242	7	3	to	to	PART
cana-1242	7	4	handle	handle	VERB
cana-1242	7	5	the	the	DET
cana-1242	7	6	issues	issue	NOUN
cana-1242	7	7	such	such	ADJ
cana-1242	7	8	as	as	ADP
cana-1242	7	9	,	,	PUNCT
cana-1242	7	10	the	the	DET
cana-1242	7	11	pertinence	pertinence	NOUN
cana-1242	7	12	for	for	ADP
cana-1242	7	13	enormous	enormous	ADJ
cana-1242	7	14	data	datum	NOUN
cana-1242	7	15	is	be	AUX
cana-1242	7	16	minimal	minimal	ADJ
cana-1242	7	17	as	as	SCONJ
cana-1242	7	18	the	the	DET
cana-1242	7	19	computational	computational	ADJ
cana-1242	7	20	complexity	complexity	NOUN
cana-1242	7	21	is	be	AUX
cana-1242	7	22	high	high	ADJ
cana-1242	7	23	in	in	ADP
cana-1242	7	24	using	use	VERB
cana-1242	7	25	hierarchical	hierarchical	ADJ
cana-1242	7	26	clustering	clustering	NOUN
cana-1242	7	27	,	,	PUNCT
cana-1242	7	28	complication	complication	NOUN
cana-1242	7	29	of	of	ADP
cana-1242	7	30	fixing	fix	VERB
cana-1242	7	31	threshold	threshold	NOUN
cana-1242	7	32	value	value	NOUN
cana-1242	7	33	in	in	ADP
cana-1242	7	34	dendrogram	dendrogram	NOUN
cana-1242	7	35	height	height	NOUN
cana-1242	7	36	while	while	SCONJ
cana-1242	7	37	combining	combine	VERB
cana-1242	7	38	flat	flat	ADJ
cana-1242	7	39	clustering	clustering	NOUN
cana-1242	7	40	,	,	PUNCT
cana-1242	7	41	and	and	CCONJ
cana-1242	7	42	non	non	ADJ
cana-1242	7	43	existence	existence	NOUN
cana-1242	7	44	of	of	ADP
cana-1242	7	45	mathematical	mathematical	ADJ
cana-1242	7	46	objective	objective	ADJ
cana-1242	7	47	function	function	NOUN
cana-1242	7	48	to	to	PART
cana-1242	7	49	assess	assess	VERB
cana-1242	7	50	the	the	DET
cana-1242	7	51	hierarchical	hierarchical	ADJ
cana-1242	7	52	clustering	clustering	NOUN
cana-1242	7	53	.	.	PUNCT
cana-1242	8	1	methods	method	NOUN
cana-1242	8	2	:	:	PUNCT
cana-1242	8	3	on	on	ADP
cana-1242	8	4	focusing	focus	VERB
cana-1242	8	5	on	on	ADP
cana-1242	8	6	these	these	DET
cana-1242	8	7	challenges	challenge	NOUN
cana-1242	8	8	,	,	PUNCT
cana-1242	8	9	this	this	DET
cana-1242	8	10	work	work	NOUN
cana-1242	8	11	proposes	propose	VERB
cana-1242	8	12	(	(	PUNCT
cana-1242	8	13	a	a	X
cana-1242	8	14	)	)	PUNCT
cana-1242	8	15	a	a	DET
cana-1242	8	16	liner	liner	NOUN
cana-1242	8	17	split	split	NOUN
cana-1242	8	18	of	of	ADP
cana-1242	8	19	data	datum	NOUN
cana-1242	8	20	in	in	ADP
cana-1242	8	21	order	order	NOUN
cana-1242	8	22	to	to	PART
cana-1242	8	23	reduce	reduce	VERB
cana-1242	8	24	the	the	DET
cana-1242	8	25	computational	computational	ADJ
cana-1242	8	26	complexity	complexity	NOUN
cana-1242	8	27	in	in	ADP
cana-1242	8	28	hierarchical	hierarchical	ADJ
cana-1242	8	29	agglomerative	agglomerative	ADJ
cana-1242	8	30	clustering	clustering	NOUN
cana-1242	8	31	.	.	PUNCT
cana-1242	9	1	(	(	PUNCT
cana-1242	9	2	b	b	X
cana-1242	9	3	)	)	PUNCT
cana-1242	9	4	fuzzy	fuzzy	ADJ
cana-1242	9	5	partition	partition	NOUN
cana-1242	9	6	matrix	matrix	NOUN
cana-1242	9	7	is	be	AUX
cana-1242	9	8	created	create	VERB
cana-1242	9	9	to	to	PART
cana-1242	9	10	enhance	enhance	VERB
cana-1242	9	11	the	the	DET
cana-1242	9	12	cluster	cluster	NOUN
cana-1242	9	13	generation	generation	NOUN
cana-1242	9	14	in	in	ADP
cana-1242	9	15	hierarchical	hierarchical	ADJ
cana-1242	9	16	clustering	clustering	NOUN
cana-1242	9	17	.	.	PUNCT
cana-1242	10	1	(	(	PUNCT
cana-1242	10	2	c	c	X
cana-1242	10	3	)	)	PUNCT
cana-1242	10	4	this	this	DET
cana-1242	10	5	work	work	NOUN
cana-1242	10	6	applies	apply	VERB
cana-1242	10	7	an	an	DET
cana-1242	10	8	objective	objective	ADJ
cana-1242	10	9	function	function	NOUN
cana-1242	10	10	in	in	ADP
cana-1242	10	11	flat	flat	ADJ
cana-1242	10	12	clustering	clustering	NOUN
cana-1242	10	13	to	to	PART
cana-1242	10	14	ease	ease	VERB
cana-1242	10	15	the	the	DET
cana-1242	10	16	process	process	NOUN
cana-1242	10	17	of	of	ADP
cana-1242	10	18	fixing	fix	VERB
cana-1242	10	19	threshold	threshold	NOUN
cana-1242	10	20	.	.	PUNCT
cana-1242	11	1	implementation	implementation	NOUN
cana-1242	11	2	,	,	PUNCT
cana-1242	11	3	results	result	VERB
cana-1242	11	4	:	:	PUNCT
cana-1242	11	5	this	this	DET
cana-1242	11	6	work	work	NOUN
cana-1242	11	7	is	be	AUX
cana-1242	11	8	implemented	implement	VERB
cana-1242	11	9	in	in	ADP
cana-1242	11	10	rapidminer	rapidminer	NOUN
cana-1242	11	11	tool	tool	NOUN
cana-1242	11	12	.	.	PUNCT
cana-1242	12	1	the	the	DET
cana-1242	12	2	sum	sum	NOUN
cana-1242	12	3	of	of	ADP
cana-1242	12	4	squares	square	NOUN
cana-1242	12	5	,	,	PUNCT
cana-1242	12	6	cluster	cluster	NOUN
cana-1242	12	7	density	density	NOUN
cana-1242	12	8	and	and	CCONJ
cana-1242	12	9	processing	processing	NOUN
cana-1242	12	10	time	time	NOUN
cana-1242	12	11	is	be	AUX
cana-1242	12	12	minimized	minimize	VERB
cana-1242	12	13	in	in	ADP
cana-1242	12	14	th	th	NUM
cana-1242	12	15	e	e	NOUN
cana-1242	12	16	proposed	propose	VERB
cana-1242	12	17	work	work	NOUN
cana-1242	12	18	.	.	PUNCT
cana-1242	13	1	conclusions	conclusion	NOUN
cana-1242	13	2	:	:	PUNCT
cana-1242	13	3	the	the	DET
cana-1242	13	4	proposed	propose	VERB
cana-1242	13	5	method	method	NOUN
cana-1242	13	6	handles	handle	VERB
cana-1242	13	7	enormous	enormous	ADJ
cana-1242	13	8	data	datum	NOUN
cana-1242	13	9	effectively	effectively	ADV
cana-1242	13	10	using	use	VERB
cana-1242	13	11	linear	linear	NOUN
cana-1242	13	12	split	split	NOUN
cana-1242	13	13	with	with	ADP
cana-1242	13	14	sequential	sequential	ADJ
cana-1242	13	15	execution	execution	NOUN
cana-1242	13	16	,	,	PUNCT
cana-1242	13	17	the	the	DET
cana-1242	13	18	proposed	propose	VERB
cana-1242	13	19	usage	usage	NOUN
cana-1242	13	20	of	of	ADP
cana-1242	13	21	a	a	DET
cana-1242	13	22	sum	sum	NOUN
cana-1242	13	23	of	of	ADP
cana-1242	13	24	squares	square	NOUN
cana-1242	13	25	fixes	fix	VERB
cana-1242	13	26	a	a	DET
cana-1242	13	27	optimum	optimum	ADJ
cana-1242	13	28	threshold	threshold	NOUN
cana-1242	13	29	value	value	NOUN
cana-1242	13	30	in	in	ADP
cana-1242	13	31	dendrogram	dendrogram	NOUN
cana-1242	13	32	height	height	NOUN
cana-1242	13	33	while	while	SCONJ
cana-1242	13	34	transforming	transform	VERB
cana-1242	13	35	the	the	DET
cana-1242	13	36	dendrogram	dendrogram	NOUN
cana-1242	13	37	to	to	ADP
cana-1242	13	38	flat	flat	ADJ
cana-1242	13	39	clusters	cluster	NOUN
cana-1242	13	40	,	,	PUNCT
cana-1242	13	41	the	the	DET
cana-1242	13	42	proposed	propose	VERB
cana-1242	13	43	method	method	NOUN
cana-1242	13	44	improves	improve	VERB
cana-1242	13	45	the	the	DET
cana-1242	13	46	existing	exist	VERB
cana-1242	13	47	hierarchical	hierarchical	ADJ
cana-1242	13	48	clustering	clustering	NOUN
cana-1242	13	49	effectively	effectively	ADV
cana-1242	13	50	.	.	PUNCT
cana-1242	14	1	keywords	keyword	NOUN
cana-1242	14	2	:	:	PUNCT
cana-1242	14	3	cluster	cluster	NOUN
cana-1242	14	4	density	density	NOUN
cana-1242	14	5	,	,	PUNCT
cana-1242	14	6	fuzzy	fuzzy	ADJ
cana-1242	14	7	partition	partition	NOUN
cana-1242	14	8	,	,	PUNCT
cana-1242	14	9	flat	flat	ADJ
cana-1242	14	10	clustering	clustering	NOUN
cana-1242	14	11	,	,	PUNCT
cana-1242	14	12	hierarchical	hierarchical	ADJ
cana-1242	14	13	clustering	clustering	NOUN
cana-1242	14	14	,	,	PUNCT
cana-1242	14	15	sum	sum	NOUN
cana-1242	14	16	of	of	ADP
cana-1242	14	17	squares	square	NOUN
cana-1242	14	18	.	.	PUNCT
cana-1242	15	1	1	1	X
cana-1242	15	2	.	.	X
cana-1242	15	3	introduction	introduction	NOUN
cana-1242	15	4	clustering	cluster	VERB
cana-1242	15	5	is	be	AUX
cana-1242	15	6	an	an	DET
cana-1242	15	7	unsupervised	unsupervised	ADJ
cana-1242	15	8	process	process	NOUN
cana-1242	15	9	that	that	PRON
cana-1242	15	10	split	split	VERB
cana-1242	15	11	data	datum	NOUN
cana-1242	15	12	into	into	ADP
cana-1242	15	13	well	well	ADV
cana-1242	15	14	defined	define	VERB
cana-1242	15	15	groups	group	NOUN
cana-1242	15	16	that	that	PRON
cana-1242	15	17	helps	help	VERB
cana-1242	15	18	to	to	PART
cana-1242	15	19	know	know	VERB
cana-1242	15	20	how	how	SCONJ
cana-1242	15	21	a	a	DET
cana-1242	15	22	dataset	dataset	NOUN
cana-1242	15	23	is	be	AUX
cana-1242	15	24	structured	structure	VERB
cana-1242	15	25	that	that	PRON
cana-1242	15	26	oppose	oppose	VERB
cana-1242	15	27	to	to	PART
cana-1242	15	28	classification	classification	VERB
cana-1242	15	29	that	that	SCONJ
cana-1242	15	30	assigns	assign	VERB
cana-1242	15	31	labels	label	NOUN
cana-1242	15	32	to	to	ADP
cana-1242	15	33	each	each	DET
cana-1242	15	34	data	datum	NOUN
cana-1242	15	35	objects	object	NOUN
cana-1242	15	36	sometimes	sometimes	ADV
cana-1242	15	37	enhanced	enhance	VERB
cana-1242	15	38	with	with	ADP
cana-1242	15	39	[	[	X
cana-1242	15	40	1	1	NUM
cana-1242	15	41	]	]	PUNCT
cana-1242	15	42	feature	feature	NOUN
cana-1242	15	43	selection	selection	NOUN
cana-1242	15	44	.	.	PUNCT
cana-1242	16	1	the	the	DET
cana-1242	16	2	clustering	cluster	VERB
cana-1242	16	3	method	method	NOUN
cana-1242	16	4	varies	vary	VERB
cana-1242	16	5	such	such	ADJ
cana-1242	16	6	as	as	ADP
cana-1242	16	7	centroid	centroid	PROPN
cana-1242	16	8	based	base	VERB
cana-1242	16	9	,	,	PUNCT
cana-1242	16	10	density	density	NOUN
cana-1242	16	11	based	base	VERB
cana-1242	16	12	,	,	PUNCT
cana-1242	16	13	hierarchical	hierarchical	ADJ
cana-1242	16	14	based	base	VERB
cana-1242	16	15	,	,	PUNCT
cana-1242	16	16	[	[	X
cana-1242	16	17	2][3]and	2][3]and	NUM
cana-1242	16	18	probability	probability	NOUN
cana-1242	16	19	based	base	VERB
cana-1242	16	20	algorithms	algorithm	NOUN
cana-1242	16	21	.	.	PUNCT
cana-1242	17	1	this	this	DET
cana-1242	17	2	paper	paper	NOUN
cana-1242	17	3	focuses	focus	VERB
cana-1242	17	4	on	on	ADP
cana-1242	17	5	agglomerative	agglomerative	ADJ
cana-1242	17	6	hierarchical	hierarchical	ADJ
cana-1242	17	7	clustering	clustering	NOUN
cana-1242	17	8	method	method	NOUN
cana-1242	17	9	with	with	ADP
cana-1242	17	10	complete	complete	ADJ
cana-1242	17	11	linkage	linkage	NOUN
cana-1242	17	12	criteria	criterion	NOUN
cana-1242	17	13	mainly	mainly	ADV
cana-1242	17	14	on	on	ADP
cana-1242	17	15	transaction	transaction	NOUN
cana-1242	17	16	data	datum	NOUN
cana-1242	17	17	.	.	PUNCT
cana-1242	18	1	the	the	DET
cana-1242	18	2	classical	classical	ADJ
cana-1242	18	3	hierarchical	hierarchical	ADJ
cana-1242	18	4	clustering	clustering	ADJ
cana-1242	18	5	algorithm	algorithm	NOUN
cana-1242	18	6	(	(	PUNCT
cana-1242	18	7	hac	hac	X
cana-1242	18	8	)	)	PUNCT
cana-1242	18	9	frames	frame	VERB
cana-1242	18	10	a	a	DET
cana-1242	18	11	hierarchical	hierarchical	ADJ
cana-1242	18	12	structure	structure	NOUN
cana-1242	18	13	without	without	ADP
cana-1242	18	14	the	the	DET
cana-1242	18	15	user	user	NOUN
cana-1242	18	16	parameter	parameter	NOUN
cana-1242	18	17	‘	'	PUNCT
cana-1242	18	18	number	number	NOUN
cana-1242	18	19	of	of	ADP
cana-1242	18	20	clusters	cluster	NOUN
cana-1242	18	21	’	'	PUNCT
cana-1242	18	22	.	.	PUNCT
cana-1242	19	1	it	it	PRON
cana-1242	19	2	sorts	sort	VERB
cana-1242	19	3	the	the	DET
cana-1242	19	4	data	datum	NOUN
cana-1242	19	5	in	in	ADP
cana-1242	19	6	two	two	NUM
cana-1242	19	7	ways	way	NOUN
cana-1242	19	8	such	such	ADJ
cana-1242	19	9	as	as	ADP
cana-1242	19	10	agglomerative	agglomerative	ADJ
cana-1242	19	11	(	(	PUNCT
cana-1242	19	12	top	top	VERB
cana-1242	19	13	down	down	ADP
cana-1242	19	14	)	)	PUNCT
cana-1242	19	15	or	or	CCONJ
cana-1242	19	16	divisive	divisive	ADJ
cana-1242	19	17	(	(	PUNCT
cana-1242	19	18	bottom	bottom	NOUN
cana-1242	19	19	-	-	PUNCT
cana-1242	19	20	up	up	NOUN
cana-1242	19	21	)	)	PUNCT
cana-1242	19	22	.	.	PUNCT
cana-1242	20	1	hierarchical	hierarchical	ADJ
cana-1242	20	2	agglomerative	agglomerative	ADJ
cana-1242	20	3	clustering	clustering	ADJ
cana-1242	20	4	agglomerative	agglomerative	ADJ
cana-1242	20	5	clustering	clustering	NOUN
cana-1242	20	6	initially	initially	ADV
cana-1242	20	7	the	the	DET
cana-1242	20	8	whole	whole	ADJ
cana-1242	20	9	samples	sample	NOUN
cana-1242	20	10	are	be	AUX
cana-1242	20	11	clustered	cluster	VERB
cana-1242	20	12	individually	individually	ADV
cana-1242	20	13	and	and	CCONJ
cana-1242	20	14	pairs	pair	NOUN
cana-1242	20	15	are	be	AUX
cana-1242	20	16	merged	merge	VERB
cana-1242	20	17	as	as	ADP
cana-1242	20	18	one	one	NUM
cana-1242	20	19	moves	move	NOUN
cana-1242	20	20	up	up	ADP
cana-1242	20	21	the	the	DET
cana-1242	20	22	hierarchical	hierarchical	ADJ
cana-1242	20	23	structure	structure	NOUN
cana-1242	20	24	as	as	SCONJ
cana-1242	20	25	opposed	oppose	VERB
cana-1242	20	26	to	to	ADP
cana-1242	20	27	this	this	PRON
cana-1242	20	28	in	in	ADP
cana-1242	20	29	divisive	divisive	ADJ
cana-1242	20	30	all	all	DET
cana-1242	20	31	samples	sample	NOUN
cana-1242	20	32	are	be	AUX
cana-1242	20	33	in	in	ADP
cana-1242	20	34	communications	communication	NOUN
cana-1242	20	35	on	on	ADP
cana-1242	20	36	applied	apply	VERB
cana-1242	20	37	nonlinear	nonlinear	ADJ
cana-1242	20	38	analysis	analysis	NOUN
cana-1242	20	39	issn	issn	NOUN
cana-1242	20	40	:	:	PUNCT
cana-1242	20	41	1074	1074	NUM
cana-1242	20	42	-	-	PUNCT
cana-1242	20	43	133x	133x	NUM
cana-1242	20	44	vol	vol	NOUN
cana-1242	20	45	31	31	NUM
cana-1242	20	46	no	no	NOUN
cana-1242	20	47	.	.	PUNCT
cana-1242	21	1	6s	6s	NUM
cana-1242	21	2	(	(	PUNCT
cana-1242	21	3	2024	2024	NUM
cana-1242	21	4	)	)	PUNCT
cana-1242	21	5	539	539	NUM
cana-1242	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	21	7	single	single	ADJ
cana-1242	21	8	cluster	cluster	NOUN
cana-1242	21	9	initially	initially	ADV
cana-1242	21	10	divided	divide	VERB
cana-1242	21	11	into	into	ADP
cana-1242	21	12	two	two	NUM
cana-1242	21	13	smaller	small	ADJ
cana-1242	21	14	clusters	cluster	NOUN
cana-1242	21	15	in	in	ADP
cana-1242	21	16	each	each	DET
cana-1242	21	17	successive	successive	ADJ
cana-1242	21	18	calculation	calculation	NOUN
cana-1242	21	19	.	.	PUNCT
cana-1242	22	1	the	the	DET
cana-1242	22	2	linkage	linkage	NOUN
cana-1242	22	3	criteria	criterion	NOUN
cana-1242	22	4	determines	determine	VERB
cana-1242	22	5	the	the	DET
cana-1242	22	6	distance	distance	NOUN
cana-1242	22	7	between	between	ADP
cana-1242	22	8	sets	set	NOUN
cana-1242	22	9	of	of	ADP
cana-1242	22	10	observations	observation	NOUN
cana-1242	22	11	among	among	ADP
cana-1242	22	12	the	the	DET
cana-1242	22	13	clusters	cluster	NOUN
cana-1242	22	14	.	.	PUNCT
cana-1242	23	1	[	[	X
cana-1242	23	2	4]below	4]below	NUM
cana-1242	23	3	are	be	AUX
cana-1242	23	4	the	the	DET
cana-1242	23	5	commonly	commonly	ADV
cana-1242	23	6	used	use	VERB
cana-1242	23	7	linkage	linkage	NOUN
cana-1242	23	8	criteria	criterion	NOUN
cana-1242	23	9	for	for	ADP
cana-1242	23	10	the	the	DET
cana-1242	23	11	two	two	NUM
cana-1242	23	12	samples	sample	NOUN
cana-1242	23	13	(	(	PUNCT
cana-1242	23	14	a	a	PRON
cana-1242	23	15	and	and	CCONJ
cana-1242	23	16	b	b	NOUN
cana-1242	23	17	)	)	PUNCT
cana-1242	23	18	from	from	ADP
cana-1242	23	19	two	two	NUM
cana-1242	23	20	different	different	ADJ
cana-1242	23	21	clusters	cluster	NOUN
cana-1242	23	22	(	(	PUNCT
cana-1242	23	23	a	a	DET
cana-1242	23	24	,	,	PUNCT
cana-1242	23	25	b	b	NOUN
cana-1242	23	26	)	)	PUNCT
cana-1242	23	27	.	.	PUNCT
cana-1242	24	1	single	single	ADJ
cana-1242	24	2	linkage	linkage	VERB
cana-1242	24	3	the	the	DET
cana-1242	24	4	nearest	near	ADJ
cana-1242	24	5	interspaces	interspace	NOUN
cana-1242	24	6	between	between	ADP
cana-1242	24	7	a	a	DET
cana-1242	24	8	pair	pair	NOUN
cana-1242	24	9	of	of	ADP
cana-1242	24	10	instance	instance	NOUN
cana-1242	24	11	from	from	ADP
cana-1242	24	12	two	two	NUM
cana-1242	24	13	dissimilar	dissimilar	ADJ
cana-1242	24	14	groupings	grouping	NOUN
cana-1242	24	15	.	.	PUNCT
cana-1242	25	1	distmin(ci	distmin(ci	ADJ
cana-1242	25	2	,	,	PUNCT
cana-1242	25	3	cj	cj	X
cana-1242	25	4	)	)	PUNCT
cana-1242	25	5	=	=	SYM
cana-1242	25	6	d(aa	d(aa	PROPN
cana-1242	25	7	,	,	PUNCT
cana-1242	25	8	b	b	PROPN
cana-1242	25	9	b	b	PROPN
cana-1242	25	10	min	min	PROPN
cana-1242	25	11	a	a	PROPN
cana-1242	25	12	,	,	PUNCT
cana-1242	25	13	b	b	NOUN
cana-1242	25	14	)	)	PUNCT
cana-1242	25	15	(	(	PUNCT
cana-1242	25	16	1	1	X
cana-1242	25	17	)	)	PUNCT
cana-1242	25	18	complete	complete	ADJ
cana-1242	25	19	linkage	linkage	NOUN
cana-1242	25	20	the	the	DET
cana-1242	25	21	farthest	farth	ADJ
cana-1242	25	22	interspaces	interspace	NOUN
cana-1242	25	23	between	between	ADP
cana-1242	25	24	a	a	DET
cana-1242	25	25	pair	pair	NOUN
cana-1242	25	26	of	of	ADP
cana-1242	25	27	instance	instance	NOUN
cana-1242	25	28	in	in	ADP
cana-1242	25	29	two	two	NUM
cana-1242	25	30	dissimilar	dissimilar	ADJ
cana-1242	25	31	groupings	grouping	NOUN
cana-1242	25	32	.	.	PUNCT
cana-1242	26	1	distmax(ci	distmax(ci	NOUN
cana-1242	26	2	,	,	PUNCT
cana-1242	26	3	cj	cj	NOUN
cana-1242	26	4	)	)	PUNCT
cana-1242	26	5	=	=	SYM
cana-1242	26	6	d(aaa	d(aaa	PROPN
cana-1242	26	7	,	,	PUNCT
cana-1242	26	8	b	b	PROPN
cana-1242	26	9	b	b	PROPN
cana-1242	26	10	max	max	PROPN
cana-1242	26	11	,	,	PUNCT
cana-1242	26	12	b	b	NOUN
cana-1242	26	13	)	)	PUNCT
cana-1242	26	14	(	(	PUNCT
cana-1242	26	15	2	2	X
cana-1242	26	16	)	)	PUNCT
cana-1242	26	17	average	average	ADJ
cana-1242	26	18	link	link	NOUN
cana-1242	26	19	the	the	DET
cana-1242	26	20	average	average	ADJ
cana-1242	26	21	interspaces	interspace	NOUN
cana-1242	26	22	between	between	ADP
cana-1242	26	23	pairs	pair	NOUN
cana-1242	26	24	of	of	ADP
cana-1242	26	25	instances	instance	NOUN
cana-1242	26	26	from	from	ADP
cana-1242	26	27	two	two	NUM
cana-1242	26	28	dissimilar	dissimilar	ADJ
cana-1242	26	29	groupings	grouping	NOUN
cana-1242	26	30	.	.	PUNCT
cana-1242	27	1	distavg(ci	distavg(ci	ADJ
cana-1242	27	2	,	,	PUNCT
cana-1242	27	3	cj	cj	X
cana-1242	27	4	)	)	PUNCT
cana-1242	28	1	=	=	SYM
cana-1242	28	2	1	1	NUM
cana-1242	28	3	|a||b|	|a||b|	NUM
cana-1242	28	4	∑	∑	PROPN
cana-1242	28	5	∑	∑	PROPN
cana-1242	28	6	d(a	d(a	PROPN
cana-1242	28	7	,	,	PUNCT
cana-1242	28	8	b)b	b)b	PRON
cana-1242	28	9	baa	baa	NOUN
cana-1242	28	10	(	(	PUNCT
cana-1242	28	11	3	3	NUM
cana-1242	28	12	)	)	PUNCT
cana-1242	28	13	centroid	centroid	NOUN
cana-1242	28	14	linkagethe	linkagethe	NOUN
cana-1242	28	15	mean	mean	NOUN
cana-1242	28	16	(	(	PUNCT
cana-1242	28	17			NOUN
cana-1242	28	18	)	)	PUNCT
cana-1242	28	19	distance	distance	NOUN
cana-1242	28	20	between	between	ADP
cana-1242	28	21	the	the	DET
cana-1242	28	22	centroids	centroid	NOUN
cana-1242	28	23	(	(	PUNCT
cana-1242	28	24	a	a	PROPN
cana-1242	28	25	,	,	PUNCT
cana-1242	28	26	b)of	b)of	VERB
cana-1242	28	27	two	two	NUM
cana-1242	28	28	clusters	cluster	NOUN
cana-1242	28	29	distcentroid	distcentroid	VERB
cana-1242	28	30	=	=	NOUN
cana-1242	28	31	||μa	||μa	NOUN
cana-1242	28	32	−	−	PROPN
cana-1242	28	33	μb||	μb||	NUM
cana-1242	28	34	(	(	PUNCT
cana-1242	28	35	4	4	NUM
cana-1242	28	36	)	)	PUNCT
cana-1242	28	37	ward	ward	NOUN
cana-1242	28	38	linkage	linkage	NOUN
cana-1242	28	39	–	–	PUNCT
cana-1242	28	40	it	it	PRON
cana-1242	28	41	measures	measure	VERB
cana-1242	28	42	the	the	DET
cana-1242	28	43	minimum	minimum	ADJ
cana-1242	28	44	increase	increase	NOUN
cana-1242	28	45	of	of	ADP
cana-1242	28	46	sum	sum	NOUN
cana-1242	28	47	of	of	ADP
cana-1242	28	48	squares	square	NOUN
cana-1242	28	49	.	.	PUNCT
cana-1242	29	1	|a|.|b|	|a|.|b|	X
cana-1242	29	2	|a∪b|	|a∪b|	PROPN
cana-1242	29	3	||μa	||μa	NOUN
cana-1242	29	4	−	−	PROPN
cana-1242	29	5	μb||2	μb||2	NOUN
cana-1242	29	6	=	=	NOUN
cana-1242	29	7	∑	∑	PUNCT
cana-1242	29	8	||x	||x	NOUN
cana-1242	29	9	−	−	NOUN
cana-1242	29	10	μa∪bxϵa∪b	μa∪bxϵa∪b	NUM
cana-1242	29	11	||2	||2	NOUN
cana-1242	29	12	−	−	NOUN
cana-1242	29	13	∑	∑	PUNCT
cana-1242	29	14	||x	||x	NOUN
cana-1242	29	15	−	−	NOUN
cana-1242	29	16	μaxϵa	μaxϵa	NOUN
cana-1242	29	17	||2	||2	NOUN
cana-1242	29	18	−	−	NOUN
cana-1242	29	19	∑	∑	ADV
cana-1242	29	20	||x	||x	NOUN
cana-1242	29	21	−	−	NOUN
cana-1242	29	22	μbxϵb	μbxϵb	NOUN
cana-1242	29	23	||2	||2	NOUN
cana-1242	29	24	(	(	PUNCT
cana-1242	29	25	5	5	NUM
cana-1242	29	26	)	)	PUNCT
cana-1242	29	27	the	the	DET
cana-1242	29	28	distance	distance	NOUN
cana-1242	29	29	function	function	NOUN
cana-1242	29	30	calculates	calculate	VERB
cana-1242	29	31	the	the	DET
cana-1242	29	32	[	[	X
cana-1242	29	33	5][6	5][6	NUM
cana-1242	29	34	]	]	X
cana-1242	29	35	similarity	similarity	NOUN
cana-1242	29	36	between	between	ADP
cana-1242	29	37	the	the	DET
cana-1242	29	38	data	data	NOUN
cana-1242	29	39	points	point	NOUN
cana-1242	29	40	.	.	PUNCT
cana-1242	30	1	the	the	DET
cana-1242	30	2	functions	function	NOUN
cana-1242	30	3	are	be	AUX
cana-1242	30	4	categorized	categorize	VERB
cana-1242	30	5	into	into	ADP
cana-1242	30	6	numerical	numerical	ADJ
cana-1242	30	7	function	function	NOUN
cana-1242	30	8	,	,	PUNCT
cana-1242	30	9	nominal	nominal	ADJ
cana-1242	30	10	,	,	PUNCT
cana-1242	30	11	mixed	mixed	ADJ
cana-1242	30	12	and	and	CCONJ
cana-1242	30	13	bregman	bregman	NOUN
cana-1242	30	14	divergences	divergence	NOUN
cana-1242	30	15	.	.	PUNCT
cana-1242	31	1	the	the	DET
cana-1242	31	2	numerical	numerical	ADJ
cana-1242	31	3	functions	function	NOUN
cana-1242	31	4	include	include	VERB
cana-1242	31	5	euclidean	euclidean	PROPN
cana-1242	31	6	,	,	PUNCT
cana-1242	31	7	manhattan	manhattan	PROPN
cana-1242	31	8	,	,	PUNCT
cana-1242	31	9	cosine	cosine	NOUN
cana-1242	31	10	,	,	PUNCT
cana-1242	31	11	inner	inner	ADJ
cana-1242	31	12	product	product	NOUN
cana-1242	31	13	similarity	similarity	NOUN
cana-1242	31	14	,	,	PUNCT
cana-1242	31	15	chebychev	chebychev	NOUN
cana-1242	31	16	,	,	PUNCT
cana-1242	31	17	camberra	camberra	X
cana-1242	31	18	etc	etc	X
cana-1242	31	19	.	.	PUNCT
cana-1242	32	1	[	[	X
cana-1242	32	2	7	7	X
cana-1242	32	3	]	]	X
cana-1242	32	4	the	the	DET
cana-1242	32	5	important	important	ADJ
cana-1242	32	6	nominal	nominal	ADJ
cana-1242	32	7	functions	function	NOUN
cana-1242	32	8	include	include	VERB
cana-1242	32	9	dice	dice	NOUN
cana-1242	32	10	,	,	PUNCT
cana-1242	32	11	jaccard	jaccard	ADJ
cana-1242	32	12	,	,	PUNCT
cana-1242	32	13	simple	simple	ADJ
cana-1242	32	14	matching	matching	NOUN
cana-1242	32	15	simialrity	simialrity	NOUN
cana-1242	32	16	,	,	PUNCT
cana-1242	32	17	russelrao	russelrao	NOUN
cana-1242	32	18	etc	etc	X
cana-1242	32	19	.	.	X
cana-1242	32	20	,	,	PUNCT
cana-1242	32	21	and	and	CCONJ
cana-1242	32	22	bregman	bregman	NOUN
cana-1242	32	23	divergences	divergence	NOUN
cana-1242	32	24	include	include	VERB
cana-1242	32	25	generalized	generalized	ADJ
cana-1242	32	26	divergence	divergence	NOUN
cana-1242	32	27	,	,	PUNCT
cana-1242	32	28	logarithmic	logarithmic	ADJ
cana-1242	32	29	loss	loss	NOUN
cana-1242	32	30	,	,	PUNCT
cana-1242	32	31	logistic	logistic	ADJ
cana-1242	32	32	loss	loss	NOUN
cana-1242	32	33	,	,	PUNCT
cana-1242	32	34	mahalonobis	mahalonobis	ADJ
cana-1242	32	35	distance	distance	NOUN
cana-1242	32	36	etc	etc	X
cana-1242	32	37	.	.	PUNCT
cana-1242	33	1	the	the	DET
cana-1242	33	2	complete	complete	ADJ
cana-1242	33	3	linkage	linkage	NOUN
cana-1242	33	4	produce	produce	VERB
cana-1242	33	5	more	more	ADJ
cana-1242	33	6	spherical	spherical	ADJ
cana-1242	33	7	c	c	NOUN
cana-1242	33	8	lusters	luster	NOUN
cana-1242	33	9	than	than	ADP
cana-1242	33	10	the	the	DET
cana-1242	33	11	single	single	ADJ
cana-1242	33	12	criteria.in	criteria.in	X
cana-1242	33	13	order	order	NOUN
cana-1242	33	14	to	to	PART
cana-1242	33	15	visualize	visualize	VERB
cana-1242	33	16	the	the	DET
cana-1242	33	17	clusters	cluster	NOUN
cana-1242	33	18	dendrogram	dendrogram	NOUN
cana-1242	33	19	is	be	AUX
cana-1242	33	20	used	use	VERB
cana-1242	33	21	that	that	PRON
cana-1242	33	22	shows	show	VERB
cana-1242	33	23	the	the	DET
cana-1242	33	24	hierarchical	hierarchical	ADJ
cana-1242	33	25	relationship	relationship	NOUN
cana-1242	33	26	between	between	ADP
cana-1242	33	27	objects	object	NOUN
cana-1242	33	28	.	.	PUNCT
cana-1242	34	1	[	[	X
cana-1242	34	2	8	8	NUM
cana-1242	34	3	]	]	X
cana-1242	34	4	the	the	DET
cana-1242	34	5	main	main	ADJ
cana-1242	34	6	usage	usage	NOUN
cana-1242	34	7	of	of	ADP
cana-1242	34	8	dendrogram	dendrogram	NOUN
cana-1242	34	9	is	be	AUX
cana-1242	34	10	to	to	PART
cana-1242	34	11	allocate	allocate	VERB
cana-1242	34	12	objects	object	NOUN
cana-1242	34	13	to	to	ADP
cana-1242	34	14	clusters	cluster	NOUN
cana-1242	34	15	.	.	PUNCT
cana-1242	35	1	in	in	ADP
cana-1242	35	2	the	the	DET
cana-1242	35	3	dendrogram	dendrogram	NOUN
cana-1242	35	4	,	,	PUNCT
cana-1242	35	5	points	point	VERB
cana-1242	35	6	with	with	ADP
cana-1242	35	7	similar	similar	ADJ
cana-1242	35	8	characteristics	characteristic	NOUN
cana-1242	35	9	will	will	AUX
cana-1242	35	10	be	be	AUX
cana-1242	35	11	allotted	allot	VERB
cana-1242	35	12	in	in	ADP
cana-1242	35	13	the	the	DET
cana-1242	35	14	same	same	ADJ
cana-1242	35	15	branch	branch	NOUN
cana-1242	35	16	the	the	DET
cana-1242	35	17	rest	rest	NOUN
cana-1242	35	18	in	in	ADP
cana-1242	35	19	the	the	DET
cana-1242	35	20	separate	separate	ADJ
cana-1242	35	21	branch	branch	NOUN
cana-1242	35	22	.	.	PUNCT
cana-1242	36	1	it	it	PRON
cana-1242	36	2	contains	contain	VERB
cana-1242	36	3	clades	clade	NOUN
cana-1242	36	4	that	that	PRON
cana-1242	36	5	further	far	ADV
cana-1242	36	6	break	break	VERB
cana-1242	36	7	down	down	ADP
cana-1242	36	8	into	into	ADP
cana-1242	36	9	smaller	small	ADJ
cana-1242	36	10	ones	one	NOUN
cana-1242	36	11	.	.	PUNCT
cana-1242	37	1	at	at	ADP
cana-1242	37	2	the	the	DET
cana-1242	37	3	bottommost	bottommost	NOUN
cana-1242	37	4	,	,	PUNCT
cana-1242	37	5	resides	reside	VERB
cana-1242	37	6	the	the	DET
cana-1242	37	7	individual	individual	ADJ
cana-1242	37	8	elements	element	NOUN
cana-1242	37	9	after	after	SCONJ
cana-1242	37	10	they	they	PRON
cana-1242	37	11	are	be	AUX
cana-1242	37	12	merged	merge	VERB
cana-1242	37	13	based	base	VERB
cana-1242	37	14	on	on	ADP
cana-1242	37	15	linkage	linkage	NOUN
cana-1242	37	16	criteria	criterion	NOUN
cana-1242	37	17	using	use	VERB
cana-1242	37	18	distance	distance	NOUN
cana-1242	37	19	functions	function	NOUN
cana-1242	37	20	.	.	PUNCT
cana-1242	38	1	[	[	X
cana-1242	38	2	9	9	NUM
cana-1242	38	3	]	]	PUNCT
cana-1242	38	4	the	the	DET
cana-1242	38	5	bottommost	bottommost	NOUN
cana-1242	38	6	node	node	NOUN
cana-1242	38	7	is	be	AUX
cana-1242	38	8	known	know	VERB
cana-1242	38	9	as	as	ADP
cana-1242	38	10	leaf	leaf	NOUN
cana-1242	38	11	and	and	CCONJ
cana-1242	38	12	two	two	NUM
cana-1242	38	13	leaves	leave	NOUN
cana-1242	38	14	in	in	ADP
cana-1242	38	15	the	the	DET
cana-1242	38	16	same	same	ADJ
cana-1242	38	17	clade	clade	NOUN
cana-1242	38	18	are	be	AUX
cana-1242	38	19	more	more	ADV
cana-1242	38	20	similar	similar	ADJ
cana-1242	38	21	than	than	ADP
cana-1242	38	22	other	other	ADJ
cana-1242	38	23	.	.	PUNCT
cana-1242	39	1	the	the	DET
cana-1242	39	2	vertical	vertical	ADJ
cana-1242	39	3	axis	axis	NOUN
cana-1242	39	4	in	in	ADP
cana-1242	39	5	the	the	DET
cana-1242	39	6	dendrogram	dendrogram	NOUN
cana-1242	39	7	depicts	depict	VERB
cana-1242	39	8	the	the	DET
cana-1242	39	9	height	height	NOUN
cana-1242	39	10	of	of	ADP
cana-1242	39	11	the	the	DET
cana-1242	39	12	branch	branch	NOUN
cana-1242	39	13	and	and	CCONJ
cana-1242	39	14	the	the	DET
cana-1242	39	15	objects	object	NOUN
cana-1242	39	16	in	in	ADP
cana-1242	39	17	the	the	DET
cana-1242	39	18	groups	group	NOUN
cana-1242	39	19	are	be	AUX
cana-1242	39	20	dissimilar	dissimilar	ADJ
cana-1242	39	21	with	with	ADP
cana-1242	39	22	the	the	DET
cana-1242	39	23	height	height	NOUN
cana-1242	39	24	.	.	PUNCT
cana-1242	40	1	generally	generally	ADV
cana-1242	40	2	,	,	PUNCT
cana-1242	40	3	hierarchical	hierarchical	ADJ
cana-1242	40	4	structure	structure	NOUN
cana-1242	40	5	is	be	AUX
cana-1242	40	6	decomposed	decompose	VERB
cana-1242	40	7	to	to	ADP
cana-1242	40	8	compact	compact	ADJ
cana-1242	40	9	clusters	cluster	NOUN
cana-1242	40	10	with	with	ADP
cana-1242	40	11	flat	flat	ADJ
cana-1242	40	12	clustering	clustering	NOUN
cana-1242	40	13	model	model	NOUN
cana-1242	40	14	.	.	PUNCT
cana-1242	41	1	[	[	X
cana-1242	41	2	10	10	NUM
cana-1242	41	3	]	]	X
cana-1242	41	4	it	it	PRON
cana-1242	41	5	can	can	AUX
cana-1242	41	6	be	be	AUX
cana-1242	41	7	in	in	ADP
cana-1242	41	8	the	the	DET
cana-1242	41	9	form	form	NOUN
cana-1242	41	10	of	of	ADP
cana-1242	41	11	fixing	fix	VERB
cana-1242	41	12	number	number	NOUN
cana-1242	41	13	of	of	ADP
cana-1242	41	14	clusters	cluster	NOUN
cana-1242	41	15	or	or	CCONJ
cana-1242	41	16	defining	define	VERB
cana-1242	41	17	a	a	DET
cana-1242	41	18	threshold	threshold	NOUN
cana-1242	41	19	on	on	ADP
cana-1242	41	20	the	the	DET
cana-1242	41	21	dendrogram	dendrogram	NOUN
cana-1242	41	22	height	height	NOUN
cana-1242	41	23	.	.	PUNCT
cana-1242	42	1	the	the	DET
cana-1242	42	2	traditional	traditional	ADJ
cana-1242	42	3	hierarchical	hierarchical	ADJ
cana-1242	42	4	clustering	clustering	NOUN
cana-1242	42	5	has	have	VERB
cana-1242	42	6	the	the	DET
cana-1242	42	7	time	time	NOUN
cana-1242	42	8	complexity	complexity	NOUN
cana-1242	42	9	of	of	ADP
cana-1242	42	10	o(n3	o(n3	NOUN
cana-1242	42	11	)	)	PUNCT
cana-1242	42	12	and	and	CCONJ
cana-1242	42	13	it	it	PRON
cana-1242	42	14	needs	need	VERB
cana-1242	42	15	memory	memory	NOUN
cana-1242	42	16	of	of	ADP
cana-1242	42	17	(n2	(n2	PROPN
cana-1242	42	18	)	)	PUNCT
cana-1242	42	19	thus	thus	ADV
cana-1242	42	20	it	it	PRON
cana-1242	42	21	is	be	AUX
cana-1242	42	22	too	too	ADV
cana-1242	42	23	slow	slow	ADJ
cana-1242	42	24	for	for	ADP
cana-1242	42	25	even	even	ADV
cana-1242	42	26	medium	medium	ADJ
cana-1242	42	27	sized	sized	ADJ
cana-1242	42	28	datasets	dataset	NOUN
cana-1242	42	29	and	and	CCONJ
cana-1242	42	30	makes	make	VERB
cana-1242	42	31	it	it	PRON
cana-1242	42	32	practically	practically	ADV
cana-1242	42	33	unusable	unusable	ADJ
cana-1242	42	34	.	.	PUNCT
cana-1242	43	1	the	the	DET
cana-1242	43	2	main	main	ADJ
cana-1242	43	3	advantage	advantage	NOUN
cana-1242	43	4	is	be	AUX
cana-1242	43	5	that	that	SCONJ
cana-1242	43	6	the	the	DET
cana-1242	43	7	model	model	NOUN
cana-1242	43	8	does	do	AUX
cana-1242	43	9	n’t	not	PART
cana-1242	43	10	require	require	VERB
cana-1242	43	11	prefixing	prefix	VERB
cana-1242	43	12	of	of	ADP
cana-1242	43	13	number	number	NOUN
cana-1242	43	14	of	of	ADP
cana-1242	43	15	clusters	cluster	NOUN
cana-1242	43	16	.	.	PUNCT
cana-1242	44	1	it	it	PRON
cana-1242	44	2	builds	build	VERB
cana-1242	44	3	a	a	DET
cana-1242	44	4	hierarchical	hierarchical	ADJ
cana-1242	44	5	structure	structure	NOUN
cana-1242	44	6	of	of	ADP
cana-1242	44	7	the	the	DET
cana-1242	44	8	pattern	pattern	NOUN
cana-1242	44	9	.	.	PUNCT
cana-1242	45	1	the	the	DET
cana-1242	45	2	disadvantage	disadvantage	NOUN
cana-1242	45	3	is	be	AUX
cana-1242	45	4	that	that	SCONJ
cana-1242	45	5	it	it	PRON
cana-1242	45	6	produces	produce	VERB
cana-1242	45	7	numerous	numerous	ADJ
cana-1242	45	8	clusters	cluster	NOUN
cana-1242	45	9	that	that	PRON
cana-1242	45	10	lead	lead	VERB
cana-1242	45	11	to	to	PART
cana-1242	45	12	complicate	complicate	VERB
cana-1242	45	13	analysis	analysis	NOUN
cana-1242	45	14	.	.	PUNCT
cana-1242	46	1	however	however	ADV
cana-1242	46	2	,	,	PUNCT
cana-1242	46	3	the	the	DET
cana-1242	46	4	implementation	implementation	NOUN
cana-1242	46	5	of	of	ADP
cana-1242	46	6	flat	flat	ADJ
cana-1242	46	7	cluster	cluster	NOUN
cana-1242	46	8	model	model	NOUN
cana-1242	46	9	ease	ease	VERB
cana-1242	46	10	the	the	DET
cana-1242	46	11	visualization	visualization	NOUN
cana-1242	46	12	of	of	ADP
cana-1242	46	13	compact	compact	ADJ
cana-1242	46	14	clusters	cluster	NOUN
cana-1242	46	15	there	there	PRON
cana-1242	46	16	is	be	VERB
cana-1242	46	17	no	no	DET
cana-1242	46	18	mathematical	mathematical	ADJ
cana-1242	46	19	objective	objective	ADJ
cana-1242	46	20	function	function	NOUN
cana-1242	46	21	while	while	SCONJ
cana-1242	46	22	prefixing	prefixing	ADJ
cana-1242	46	23	number	number	NOUN
cana-1242	46	24	of	of	ADP
cana-1242	46	25	clusters	cluster	NOUN
cana-1242	46	26	or	or	CCONJ
cana-1242	46	27	communications	communication	NOUN
cana-1242	46	28	on	on	ADP
cana-1242	46	29	applied	apply	VERB
cana-1242	46	30	nonlinear	nonlinear	ADJ
cana-1242	46	31	analysis	analysis	NOUN
cana-1242	46	32	issn	issn	NOUN
cana-1242	46	33	:	:	PUNCT
cana-1242	46	34	1074	1074	NUM
cana-1242	46	35	-	-	PUNCT
cana-1242	46	36	133x	133x	NUM
cana-1242	46	37	vol	vol	NOUN
cana-1242	46	38	31	31	NUM
cana-1242	46	39	no	no	NOUN
cana-1242	46	40	.	.	PUNCT
cana-1242	47	1	6s	6s	NUM
cana-1242	47	2	(	(	PUNCT
cana-1242	47	3	2024	2024	NUM
cana-1242	47	4	)	)	PUNCT
cana-1242	47	5	540	540	NUM
cana-1242	47	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1242	47	7	threshold	threshold	NOUN
cana-1242	47	8	value	value	NOUN
cana-1242	47	9	to	to	PART
cana-1242	47	10	cut	cut	VERB
cana-1242	47	11	the	the	DET
cana-1242	47	12	dendrogram	dendrogram	NOUN
cana-1242	47	13	in	in	ADP
cana-1242	47	14	the	the	DET
cana-1242	47	15	model	model	NOUN
cana-1242	47	16	.	.	PUNCT
cana-1242	48	1	the	the	DET
cana-1242	48	2	foremost	foremost	ADJ
cana-1242	48	3	drawback	drawback	NOUN
cana-1242	48	4	is	be	AUX
cana-1242	48	5	,	,	PUNCT
cana-1242	48	6	even	even	ADV
cana-1242	48	7	for	for	ADP
cana-1242	48	8	a	a	DET
cana-1242	48	9	medium	medium	ADJ
cana-1242	48	10	sized	sized	ADJ
cana-1242	48	11	dataset	dataset	NOUN
cana-1242	48	12	it	it	PRON
cana-1242	48	13	takes	take	VERB
cana-1242	48	14	high	high	ADJ
cana-1242	48	15	processing	processing	NOUN
cana-1242	48	16	time	time	NOUN
cana-1242	48	17	so	so	SCONJ
cana-1242	48	18	the	the	DET
cana-1242	48	19	computational	computational	ADJ
cana-1242	48	20	complexity	complexity	NOUN
cana-1242	48	21	is	be	AUX
cana-1242	48	22	high	high	ADJ
cana-1242	48	23	.	.	PUNCT
cana-1242	49	1	the	the	DET
cana-1242	49	2	rest	rest	NOUN
cana-1242	49	3	of	of	ADP
cana-1242	49	4	this	this	DET
cana-1242	49	5	paper	paper	NOUN
cana-1242	49	6	is	be	AUX
cana-1242	49	7	organised	organise	VERB
cana-1242	49	8	as	as	SCONJ
cana-1242	49	9	follows	follow	VERB
cana-1242	49	10	,	,	PUNCT
cana-1242	49	11	section	section	NOUN
cana-1242	49	12	1	1	NUM
cana-1242	49	13	explains	explain	VERB
cana-1242	49	14	about	about	ADP
cana-1242	49	15	hierarchical	hierarchical	ADJ
cana-1242	49	16	clustering	clustering	ADJ
cana-1242	49	17	model	model	NOUN
cana-1242	49	18	,	,	PUNCT
cana-1242	49	19	existing	exist	VERB
cana-1242	49	20	works	work	NOUN
cana-1242	49	21	are	be	AUX
cana-1242	49	22	discussed	discuss	VERB
cana-1242	49	23	in	in	ADP
cana-1242	49	24	section	section	NOUN
cana-1242	49	25	2	2	NUM
cana-1242	49	26	,	,	PUNCT
cana-1242	49	27	section	section	NOUN
cana-1242	49	28	3	3	NUM
cana-1242	49	29	gives	give	VERB
cana-1242	49	30	details	detail	NOUN
cana-1242	49	31	about	about	ADP
cana-1242	49	32	the	the	DET
cana-1242	49	33	proposed	propose	VERB
cana-1242	49	34	methodology	methodology	NOUN
cana-1242	49	35	.	.	PUNCT
cana-1242	50	1	in	in	ADP
cana-1242	50	2	section	section	NOUN
cana-1242	50	3	4	4	NUM
cana-1242	50	4	,	,	PUNCT
cana-1242	50	5	results	result	NOUN
cana-1242	50	6	are	be	AUX
cana-1242	50	7	discussed	discuss	VERB
cana-1242	50	8	and	and	CCONJ
cana-1242	50	9	compared	compare	VERB
cana-1242	50	10	with	with	ADP
cana-1242	50	11	appropriate	appropriate	ADJ
cana-1242	50	12	tables	table	NOUN
cana-1242	50	13	and	and	CCONJ
cana-1242	50	14	charts	chart	NOUN
cana-1242	50	15	finally	finally	ADV
cana-1242	50	16	section	section	VERB
cana-1242	50	17	5	5	NUM
cana-1242	50	18	concludes	conclude	VERB
cana-1242	50	19	the	the	DET
cana-1242	50	20	findings	finding	NOUN
cana-1242	50	21	.	.	PUNCT
cana-1242	51	1	2	2	X
cana-1242	51	2	.	.	X
cana-1242	51	3	literature	literature	NOUN
cana-1242	51	4	review	review	PROPN
cana-1242	51	5	dajun	dajun	NOUN
cana-1242	51	6	si	si	X
cana-1242	51	7	et	et	PROPN
cana-1242	51	8	al	al	PROPN
cana-1242	52	1	[	[	X
cana-1242	52	2	11	11	NUM
cana-1242	52	3	]	]	PUNCT
cana-1242	52	4	addressed	address	VERB
cana-1242	52	5	skewed	skewed	ADJ
cana-1242	52	6	concept	concept	NOUN
cana-1242	52	7	in	in	ADP
cana-1242	52	8	the	the	DET
cana-1242	52	9	hierarchical	hierarchical	ADJ
cana-1242	52	10	agglomerative	agglomerative	NOUN
cana-1242	52	11	for	for	ADP
cana-1242	52	12	organizing	organize	VERB
cana-1242	52	13	substations	substation	NOUN
cana-1242	52	14	.	.	PUNCT
cana-1242	53	1	t	t	PROPN
cana-1242	53	2	-	-	PUNCT
cana-1242	53	3	sne	sne	NOUN
cana-1242	53	4	algorithm	algorithm	NOUN
cana-1242	53	5	expressed	express	VERB
cana-1242	53	6	the	the	DET
cana-1242	53	7	data	datum	NOUN
cana-1242	53	8	from	from	ADP
cana-1242	53	9	multidimensional	multidimensional	ADJ
cana-1242	53	10	to	to	ADP
cana-1242	53	11	two	two	NUM
cana-1242	53	12	-	-	PUNCT
cana-1242	53	13	dimensional	dimensional	ADJ
cana-1242	53	14	space	space	NOUN
cana-1242	53	15	.	.	PUNCT
cana-1242	54	1	single	single	ADJ
cana-1242	54	2	linkage	linkage	NOUN
cana-1242	54	3	criteria	criterion	NOUN
cana-1242	54	4	is	be	AUX
cana-1242	54	5	followed	follow	VERB
cana-1242	54	6	to	to	PART
cana-1242	54	7	cluster	cluster	VERB
cana-1242	54	8	the	the	DET
cana-1242	54	9	data	datum	NOUN
cana-1242	54	10	and	and	CCONJ
cana-1242	54	11	the	the	DET
cana-1242	54	12	gini	gini	PROPN
cana-1242	54	13	coefficient	coefficient	NOUN
cana-1242	54	14	is	be	AUX
cana-1242	54	15	calculated	calculate	VERB
cana-1242	54	16	with	with	ADP
cana-1242	54	17	the	the	DET
cana-1242	54	18	hierarchical	hierarchical	ADJ
cana-1242	54	19	clustering	clustering	NOUN
cana-1242	54	20	.	.	PUNCT
cana-1242	55	1	a	a	DET
cana-1242	55	2	threshold	threshold	NOUN
cana-1242	55	3	value	value	NOUN
cana-1242	55	4	is	be	AUX
cana-1242	55	5	set	set	VERB
cana-1242	55	6	and	and	CCONJ
cana-1242	55	7	it	it	PRON
cana-1242	55	8	is	be	AUX
cana-1242	55	9	checked	check	VERB
cana-1242	55	10	with	with	ADP
cana-1242	55	11	the	the	DET
cana-1242	55	12	gini	gini	PROPN
cana-1242	55	13	coefficient	coefficient	NOUN
cana-1242	55	14	of	of	ADP
cana-1242	55	15	the	the	DET
cana-1242	55	16	clustered	clustered	ADJ
cana-1242	55	17	set	set	NOUN
cana-1242	55	18	.	.	PUNCT
cana-1242	56	1	if	if	SCONJ
cana-1242	56	2	the	the	DET
cana-1242	56	3	gini	gini	PROPN
cana-1242	56	4	value	value	NOUN
cana-1242	56	5	is	be	AUX
cana-1242	56	6	less	less	ADJ
cana-1242	56	7	than	than	ADP
cana-1242	56	8	the	the	DET
cana-1242	56	9	threshold	threshold	NOUN
cana-1242	56	10	then	then	ADV
cana-1242	56	11	the	the	DET
cana-1242	56	12	method	method	NOUN
cana-1242	56	13	is	be	AUX
cana-1242	56	14	adopted	adopt	VERB
cana-1242	56	15	or	or	CCONJ
cana-1242	56	16	else	else	ADJ
cana-1242	56	17	fairness	fairness	NOUN
cana-1242	56	18	index	index	NOUN
cana-1242	56	19	is	be	AUX
cana-1242	56	20	calculated	calculate	VERB
cana-1242	56	21	with	with	ADP
cana-1242	56	22	the	the	DET
cana-1242	56	23	proposed	propose	VERB
cana-1242	56	24	equation	equation	NOUN
cana-1242	56	25	.	.	PUNCT
cana-1242	57	1	from	from	ADP
cana-1242	57	2	the	the	DET
cana-1242	57	3	results	result	NOUN
cana-1242	57	4	with	with	ADP
cana-1242	57	5	contour	contour	NOUN
cana-1242	57	6	coefficient	coefficient	NOUN
cana-1242	57	7	,	,	PUNCT
cana-1242	57	8	the	the	DET
cana-1242	57	9	proposed	propose	VERB
cana-1242	57	10	method	method	NOUN
cana-1242	57	11	gives	give	VERB
cana-1242	57	12	better	well	ADJ
cana-1242	57	13	results	result	NOUN
cana-1242	57	14	.	.	PUNCT
cana-1242	58	1	mohamed	mohamed	PROPN
cana-1242	58	2	s.	s.	PROPN
cana-1242	58	3	halawa	halawa	PROPN
cana-1242	58	4	et	et	PROPN
cana-1242	58	5	al	al	PROPN
cana-1242	59	1	[	[	X
cana-1242	59	2	12	12	NUM
cana-1242	59	3	]	]	X
cana-1242	59	4	did	do	VERB
cana-1242	59	5	a	a	DET
cana-1242	59	6	research	research	NOUN
cana-1242	59	7	on	on	ADP
cana-1242	59	8	the	the	DET
cana-1242	59	9	type	type	NOUN
cana-1242	59	10	of	of	ADP
cana-1242	59	11	metric	metric	NOUN
cana-1242	59	12	that	that	PRON
cana-1242	59	13	suits	suit	NOUN
cana-1242	59	14	better	well	ADV
cana-1242	59	15	for	for	ADP
cana-1242	59	16	classifying	classify	VERB
cana-1242	59	17	different	different	ADJ
cana-1242	59	18	types	type	NOUN
cana-1242	59	19	of	of	ADP
cana-1242	59	20	jobs	job	NOUN
cana-1242	59	21	in	in	ADP
cana-1242	59	22	the	the	DET
cana-1242	59	23	large	large	ADJ
cana-1242	59	24	performance	performance	NOUN
cana-1242	59	25	computing	computing	NOUN
cana-1242	59	26	.	.	PUNCT
cana-1242	60	1	this	this	DET
cana-1242	60	2	work	work	NOUN
cana-1242	60	3	applied	apply	VERB
cana-1242	60	4	partition	partition	NOUN
cana-1242	60	5	and	and	CCONJ
cana-1242	60	6	hierarchical	hierarchical	ADJ
cana-1242	60	7	techniques	technique	NOUN
cana-1242	60	8	from	from	ADP
cana-1242	60	9	the	the	DET
cana-1242	60	10	galician	galician	ADJ
cana-1242	60	11	computation	computation	NOUN
cana-1242	60	12	center	center	NOUN
cana-1242	60	13	.	.	PUNCT
cana-1242	61	1	in	in	ADP
cana-1242	61	2	prior	prior	ADV
cana-1242	61	3	to	to	ADP
cana-1242	61	4	the	the	DET
cana-1242	61	5	application	application	NOUN
cana-1242	61	6	of	of	ADP
cana-1242	61	7	such	such	ADJ
cana-1242	61	8	algorithms	algorithm	NOUN
cana-1242	61	9	,	,	PUNCT
cana-1242	61	10	pca	pca	PROPN
cana-1242	61	11	was	be	AUX
cana-1242	61	12	applied	apply	VERB
cana-1242	61	13	in	in	ADP
cana-1242	61	14	order	order	NOUN
cana-1242	61	15	to	to	PART
cana-1242	61	16	reduce	reduce	VERB
cana-1242	61	17	the	the	DET
cana-1242	61	18	dimensionality	dimensionality	NOUN
cana-1242	61	19	of	of	ADP
cana-1242	61	20	the	the	DET
cana-1242	61	21	data	datum	NOUN
cana-1242	61	22	.	.	PUNCT
cana-1242	62	1	the	the	DET
cana-1242	62	2	results	result	NOUN
cana-1242	62	3	concluded	conclude	VERB
cana-1242	62	4	that	that	SCONJ
cana-1242	62	5	the	the	DET
cana-1242	62	6	best	good	ADJ
cana-1242	62	7	results	result	NOUN
cana-1242	62	8	were	be	AUX
cana-1242	62	9	obtained	obtain	VERB
cana-1242	62	10	from	from	ADP
cana-1242	62	11	hierarchical	hierarchical	ADJ
cana-1242	62	12	bottom	bottom	ADJ
cana-1242	62	13	upmethod	upmethod	NOUN
cana-1242	62	14	with	with	ADP
cana-1242	62	15	the	the	DET
cana-1242	62	16	use	use	NOUN
cana-1242	62	17	of	of	ADP
cana-1242	62	18	silhouette	silhouette	NOUN
cana-1242	62	19	and	and	CCONJ
cana-1242	62	20	davies	davy	NOUN
cana-1242	62	21	–	–	PUNCT
cana-1242	62	22	bouldin	bouldin	NOUN
cana-1242	62	23	.	.	PUNCT
cana-1242	63	1	lifeng	lifeng	PROPN
cana-1242	63	2	yin	yin	PROPN
cana-1242	63	3	et	et	PROPN
cana-1242	63	4	al	al	PROPN
cana-1242	64	1	[	[	X
cana-1242	64	2	13	13	NUM
cana-1242	64	3	]	]	PUNCT
cana-1242	64	4	proposed	propose	VERB
cana-1242	64	5	an	an	DET
cana-1242	64	6	improved	improve	VERB
cana-1242	64	7	hierarchical	hierarchical	ADJ
cana-1242	64	8	with	with	ADP
cana-1242	64	9	the	the	DET
cana-1242	64	10	theme	theme	NOUN
cana-1242	64	11	of	of	ADP
cana-1242	64	12	fusion	fusion	NOUN
cana-1242	64	13	and	and	CCONJ
cana-1242	64	14	population	population	NOUN
cana-1242	64	15	reproduction	reproduction	NOUN
cana-1242	64	16	.	.	PUNCT
cana-1242	65	1	the	the	DET
cana-1242	65	2	initial	initial	ADJ
cana-1242	65	3	stage	stage	NOUN
cana-1242	65	4	of	of	ADP
cana-1242	65	5	proposed	propose	VERB
cana-1242	65	6	pri	pri	PROPN
cana-1242	65	7	-	-	PUNCT
cana-1242	65	8	mfc	mfc	PROPN
cana-1242	65	9	order	order	NOUN
cana-1242	65	10	the	the	DET
cana-1242	65	11	data	datum	NOUN
cana-1242	65	12	in	in	ADP
cana-1242	65	13	batches	batch	NOUN
cana-1242	65	14	to	to	PART
cana-1242	65	15	prevent	prevent	VERB
cana-1242	65	16	running	run	VERB
cana-1242	65	17	out	out	ADP
cana-1242	65	18	of	of	ADP
cana-1242	65	19	memory	memory	NOUN
cana-1242	65	20	usage	usage	NOUN
cana-1242	65	21	.	.	PUNCT
cana-1242	66	1	in	in	ADP
cana-1242	66	2	the	the	DET
cana-1242	66	3	fusion	fusion	NOUN
cana-1242	66	4	stage	stage	NOUN
cana-1242	66	5	,	,	PUNCT
cana-1242	66	6	jaccard	jaccard	ADJ
cana-1242	66	7	fusion	fusion	NOUN
cana-1242	66	8	was	be	AUX
cana-1242	66	9	used	use	VERB
cana-1242	66	10	to	to	PART
cana-1242	66	11	use	use	VERB
cana-1242	66	12	only	only	ADV
cana-1242	66	13	the	the	DET
cana-1242	66	14	number	number	NOUN
cana-1242	66	15	of	of	ADP
cana-1242	66	16	labels	label	NOUN
cana-1242	66	17	to	to	PART
cana-1242	66	18	complete	complete	VERB
cana-1242	66	19	the	the	DET
cana-1242	66	20	statistics	statistic	NOUN
cana-1242	66	21	which	which	PRON
cana-1242	66	22	then	then	ADV
cana-1242	66	23	reduced	reduce	VERB
cana-1242	66	24	the	the	DET
cana-1242	66	25	computational	computational	ADJ
cana-1242	66	26	complexity	complexity	NOUN
cana-1242	66	27	of	of	ADP
cana-1242	66	28	the	the	DET
cana-1242	66	29	hierarchical	hierarchical	ADJ
cana-1242	66	30	clustering	clustering	ADJ
cana-1242	66	31	process	process	NOUN
cana-1242	66	32	.	.	PUNCT
cana-1242	67	1	joelson	joelson	PROPN
cana-1242	67	2	antonio	antonio	PROPN
cana-1242	67	3	dos	dos	PROPN
cana-1242	67	4	santos	santos	PROPN
cana-1242	67	5	et	et	PROPN
cana-1242	67	6	al	al	PROPN
cana-1242	68	1	[	[	X
cana-1242	68	2	14	14	NUM
cana-1242	68	3	]	]	PUNCT
cana-1242	68	4	put	put	VERB
cana-1242	68	5	forth	forth	ADP
cana-1242	68	6	an	an	DET
cana-1242	68	7	efficient	efficient	ADJ
cana-1242	68	8	hierarchical	hierarchical	ADJ
cana-1242	68	9	-	-	PUNCT
cana-1242	68	10	density	density	NOUN
cana-1242	68	11	namely	namely	ADV
cana-1242	68	12	mrhdbscan	mrhdbscan	ADJ
cana-1242	68	13	*	*	PUNCT
cana-1242	68	14	with	with	ADP
cana-1242	68	15	the	the	DET
cana-1242	68	16	implementation	implementation	NOUN
cana-1242	68	17	of	of	ADP
cana-1242	68	18	mapreduce	mapreduce	PROPN
cana-1242	68	19	.	.	PUNCT
cana-1242	69	1	different	different	ADJ
cana-1242	69	2	parallelization	parallelization	NOUN
cana-1242	69	3	scheme	scheme	NOUN
cana-1242	69	4	based	base	VERB
cana-1242	69	5	on	on	ADP
cana-1242	69	6	recursive	recursive	ADJ
cana-1242	69	7	sampling	sampling	NOUN
cana-1242	69	8	approach	approach	NOUN
cana-1242	69	9	was	be	AUX
cana-1242	69	10	proposed	propose	VERB
cana-1242	69	11	to	to	PART
cana-1242	69	12	make	make	VERB
cana-1242	69	13	the	the	DET
cana-1242	69	14	algorithm	algorithm	NOUN
cana-1242	69	15	much	much	ADV
cana-1242	69	16	faster	fast	ADV
cana-1242	69	17	to	to	PART
cana-1242	69	18	run	run	VERB
cana-1242	69	19	.	.	PUNCT
cana-1242	70	1	this	this	PRON
cana-1242	70	2	was	be	AUX
cana-1242	70	3	evaluated	evaluate	VERB
cana-1242	70	4	with	with	ADP
cana-1242	70	5	execution	execution	NOUN
cana-1242	70	6	time	time	NOUN
cana-1242	70	7	and	and	CCONJ
cana-1242	70	8	ari	ari	PROPN
cana-1242	70	9	thus	thus	ADV
cana-1242	70	10	proved	prove	VERB
cana-1242	70	11	its	its	PRON
cana-1242	70	12	effectiveness	effectiveness	NOUN
cana-1242	70	13	and	and	CCONJ
cana-1242	70	14	scalability	scalability	NOUN
cana-1242	70	15	.	.	PUNCT
cana-1242	71	1	praveen	praveen	PROPN
cana-1242	71	2	et	et	PROPN
cana-1242	71	3	al	al	PROPN
cana-1242	72	1	[	[	X
cana-1242	72	2	15	15	NUM
cana-1242	72	3	]	]	PUNCT
cana-1242	72	4	compared	compare	VERB
cana-1242	72	5	linkage	linkage	NOUN
cana-1242	72	6	criteria	criterion	NOUN
cana-1242	72	7	namely	namely	ADV
cana-1242	72	8	single	single	ADJ
cana-1242	72	9	,	,	PUNCT
cana-1242	72	10	complete	complete	ADJ
cana-1242	72	11	,	,	PUNCT
cana-1242	72	12	average	average	ADJ
cana-1242	72	13	,	,	PUNCT
cana-1242	72	14	and	and	CCONJ
cana-1242	72	15	average	average	ADJ
cana-1242	72	16	weighted	weight	VERB
cana-1242	72	17	in	in	ADP
cana-1242	72	18	hierarchical	hierarchical	ADJ
cana-1242	72	19	clustering	clustering	NOUN
cana-1242	72	20	on	on	ADP
cana-1242	72	21	five	five	NUM
cana-1242	72	22	different	different	ADJ
cana-1242	72	23	datasets	dataset	NOUN
cana-1242	72	24	in	in	ADP
cana-1242	72	25	uci	uci	PROPN
cana-1242	72	26	.	.	PUNCT
cana-1242	73	1	as	as	SCONJ
cana-1242	73	2	there	there	PRON
cana-1242	73	3	is	be	VERB
cana-1242	73	4	no	no	DET
cana-1242	73	5	mathematical	mathematical	ADJ
cana-1242	73	6	objective	objective	ADJ
cana-1242	73	7	function	function	NOUN
cana-1242	73	8	for	for	ADP
cana-1242	73	9	hierarchical	hierarchical	ADJ
cana-1242	73	10	clustering	clustering	NOUN
cana-1242	73	11	,	,	PUNCT
cana-1242	73	12	running	running	NOUN
cana-1242	73	13	time	time	NOUN
cana-1242	73	14	is	be	AUX
cana-1242	73	15	taken	take	VERB
cana-1242	73	16	into	into	ADP
cana-1242	73	17	account	account	NOUN
cana-1242	73	18	in	in	ADP
cana-1242	73	19	this	this	DET
cana-1242	73	20	work	work	NOUN
cana-1242	73	21	.	.	PUNCT
cana-1242	74	1	from	from	ADP
cana-1242	74	2	the	the	DET
cana-1242	74	3	results	result	NOUN
cana-1242	74	4	,	,	PUNCT
cana-1242	74	5	it	it	PRON
cana-1242	74	6	was	be	AUX
cana-1242	74	7	noted	note	VERB
cana-1242	74	8	that	that	SCONJ
cana-1242	74	9	complete	complete	ADJ
cana-1242	74	10	linkage	linkage	NOUN
cana-1242	74	11	criteria	criterion	NOUN
cana-1242	74	12	takes	take	VERB
cana-1242	74	13	high	high	ADJ
cana-1242	74	14	processing	processing	NOUN
cana-1242	74	15	time	time	NOUN
cana-1242	74	16	.	.	PUNCT
cana-1242	75	1	as	as	ADP
cana-1242	75	2	per	per	ADP
cana-1242	75	3	the	the	DET
cana-1242	75	4	running	running	NOUN
cana-1242	75	5	time	time	NOUN
cana-1242	75	6	,	,	PUNCT
cana-1242	75	7	single	single	ADJ
cana-1242	75	8	linkage	linkage	NOUN
cana-1242	75	9	is	be	AUX
cana-1242	75	10	found	find	VERB
cana-1242	75	11	to	to	PART
cana-1242	75	12	be	be	AUX
cana-1242	75	13	best	good	ADJ
cana-1242	75	14	than	than	ADP
cana-1242	75	15	other	other	ADJ
cana-1242	75	16	linkage	linkage	NOUN
cana-1242	75	17	criteria	criterion	NOUN
cana-1242	75	18	.	.	PUNCT
cana-1242	76	1	william	william	PROPN
cana-1242	76	2	w.	w.	PROPN
cana-1242	76	3	tsoa	tsoa	PROPN
cana-1242	76	4	et	et	PROPN
cana-1242	76	5	al	al	PROPN
cana-1242	77	1	[	[	X
cana-1242	77	2	16	16	NUM
cana-1242	77	3	]	]	PUNCT
cana-1242	77	4	developed	develop	VERB
cana-1242	77	5	a	a	DET
cana-1242	77	6	method	method	NOUN
cana-1242	77	7	using	use	VERB
cana-1242	77	8	agglomerative	agglomerative	ADJ
cana-1242	77	9	hierarchical	hierarchical	ADJ
cana-1242	77	10	for	for	SCONJ
cana-1242	77	11	energy	energy	NOUN
cana-1242	77	12	storage	storage	NOUN
cana-1242	77	13	applications	application	NOUN
cana-1242	77	14	to	to	PART
cana-1242	77	15	handle	handle	VERB
cana-1242	77	16	model	model	NOUN
cana-1242	77	17	complexity	complexity	NOUN
cana-1242	77	18	and	and	CCONJ
cana-1242	77	19	optimize	optimize	VERB
cana-1242	77	20	the	the	DET
cana-1242	77	21	system	system	NOUN
cana-1242	77	22	with	with	ADP
cana-1242	77	23	representative	representative	ADJ
cana-1242	77	24	time	time	NOUN
cana-1242	77	25	periods	period	NOUN
cana-1242	77	26	.	.	PUNCT
cana-1242	78	1	this	this	DET
cana-1242	78	2	method	method	NOUN
cana-1242	78	3	is	be	AUX
cana-1242	78	4	applied	apply	VERB
cana-1242	78	5	on	on	ADP
cana-1242	78	6	a	a	DET
cana-1242	78	7	power	power	NOUN
cana-1242	78	8	system	system	NOUN
cana-1242	78	9	database	database	NOUN
cana-1242	78	10	and	and	CCONJ
cana-1242	78	11	showed	show	VERB
cana-1242	78	12	that	that	SCONJ
cana-1242	78	13	15	15	NUM
cana-1242	78	14	clusters	cluster	NOUN
cana-1242	78	15	are	be	AUX
cana-1242	78	16	chosen	choose	VERB
cana-1242	78	17	to	to	PART
cana-1242	78	18	be	be	AUX
cana-1242	78	19	good	good	ADJ
cana-1242	78	20	with	with	ADP
cana-1242	78	21	less	less	ADJ
cana-1242	78	22	cluster	cluster	NOUN
cana-1242	78	23	distance	distance	NOUN
cana-1242	78	24	.	.	PUNCT
cana-1242	79	1	karli	karli	PROPN
cana-1242	79	2	eka	eka	PROPN
cana-1242	79	3	setiawana	setiawana	PROPN
cana-1242	79	4	et	et	PROPN
cana-1242	79	5	al	al	PROPN
cana-1242	80	1	[	[	X
cana-1242	80	2	17	17	NUM
cana-1242	80	3	]	]	PUNCT
cana-1242	80	4	compared	compare	VERB
cana-1242	80	5	fuzzy	fuzzy	ADJ
cana-1242	80	6	-	-	PUNCT
cana-1242	80	7	c	c	NOUN
cana-1242	80	8	-	-	PUNCT
cana-1242	80	9	means	means	NOUN
cana-1242	80	10	,	,	PUNCT
cana-1242	80	11	k	k	X
cana-1242	80	12	-	-	PUNCT
cana-1242	80	13	means	mean	VERB
cana-1242	80	14	for	for	ADP
cana-1242	80	15	grouping	group	VERB
cana-1242	80	16	hospital	hospital	NOUN
cana-1242	80	17	data	datum	NOUN
cana-1242	80	18	.	.	PUNCT
cana-1242	81	1	euclidean	euclidean	PROPN
cana-1242	81	2	,	,	PUNCT
cana-1242	81	3	manhattan	manhattan	PROPN
cana-1242	81	4	and	and	CCONJ
cana-1242	81	5	hamming	hamming	NOUN
cana-1242	81	6	distance	distance	NOUN
cana-1242	81	7	metrics	metric	NOUN
cana-1242	81	8	was	be	AUX
cana-1242	81	9	used	use	VERB
cana-1242	81	10	.	.	PUNCT
cana-1242	82	1	for	for	ADP
cana-1242	82	2	dimensionality	dimensionality	NOUN
cana-1242	82	3	lessening	lessening	NOUN
cana-1242	82	4	,	,	PUNCT
cana-1242	82	5	pca	pca	NOUN
cana-1242	82	6	communications	communication	NOUN
cana-1242	82	7	on	on	ADP
cana-1242	82	8	applied	apply	VERB
cana-1242	82	9	nonlinear	nonlinear	ADJ
cana-1242	82	10	analysis	analysis	NOUN
cana-1242	82	11	issn	issn	NOUN
cana-1242	82	12	:	:	PUNCT
cana-1242	82	13	1074	1074	NUM
cana-1242	82	14	-	-	PUNCT
cana-1242	82	15	133x	133x	NUM
cana-1242	82	16	vol	vol	NOUN
cana-1242	82	17	31	31	NUM
cana-1242	82	18	no	no	NOUN
cana-1242	82	19	.	.	PUNCT
cana-1242	83	1	6s	6s	NUM
cana-1242	83	2	(	(	PUNCT
cana-1242	83	3	2024	2024	NUM
cana-1242	83	4	)	)	PUNCT
cana-1242	83	5	541	541	NUM
cana-1242	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	83	7	was	be	AUX
cana-1242	83	8	applied	apply	VERB
cana-1242	83	9	.	.	PUNCT
cana-1242	84	1	from	from	ADP
cana-1242	84	2	the	the	DET
cana-1242	84	3	results	result	NOUN
cana-1242	84	4	,	,	PUNCT
cana-1242	84	5	it	it	PRON
cana-1242	84	6	was	be	AUX
cana-1242	84	7	noted	note	VERB
cana-1242	84	8	that	that	SCONJ
cana-1242	84	9	sse	sse	PROPN
cana-1242	84	10	was	be	AUX
cana-1242	84	11	reduced	reduce	VERB
cana-1242	84	12	with	with	ADP
cana-1242	84	13	increasing	increase	VERB
cana-1242	84	14	number	number	NOUN
cana-1242	84	15	of	of	ADP
cana-1242	84	16	clusters	cluster	NOUN
cana-1242	84	17	or	or	CCONJ
cana-1242	84	18	both	both	DET
cana-1242	84	19	methods	method	NOUN
cana-1242	84	20	.	.	PUNCT
cana-1242	85	1	joaquín	joaquín	PROPN
cana-1242	85	2	pérez	pérez	PROPN
cana-1242	85	3	-	-	PUNCT
cana-1242	85	4	ortega	ortega	PROPN
cana-1242	85	5	et	et	PROPN
cana-1242	85	6	al	al	PROPN
cana-1242	86	1	[	[	X
cana-1242	86	2	18	18	NUM
cana-1242	86	3	]	]	PUNCT
cana-1242	86	4	combined	combine	VERB
cana-1242	86	5	fuzzy	fuzzy	ADJ
cana-1242	86	6	c	c	NOUN
cana-1242	86	7	-	-	PUNCT
cana-1242	86	8	means	mean	NOUN
cana-1242	86	9	and	and	CCONJ
cana-1242	86	10	k	k	NOUN
cana-1242	86	11	-	-	PUNCT
cana-1242	86	12	means	mean	NOUN
cana-1242	86	13	namely	namely	ADV
cana-1242	86	14	hofcm	hofcm	NOUN
cana-1242	86	15	for	for	ADP
cana-1242	86	16	large	large	ADJ
cana-1242	86	17	datasets	dataset	NOUN
cana-1242	86	18	.	.	PUNCT
cana-1242	87	1	the	the	DET
cana-1242	87	2	work	work	NOUN
cana-1242	87	3	started	start	VERB
cana-1242	87	4	with	with	ADP
cana-1242	87	5	applying	apply	VERB
cana-1242	87	6	k	k	NOUN
cana-1242	87	7	-	-	PUNCT
cana-1242	87	8	means	mean	NOUN
cana-1242	87	9	,	,	PUNCT
cana-1242	87	10	select	select	VERB
cana-1242	87	11	the	the	DET
cana-1242	87	12	best	good	ADJ
cana-1242	87	13	solution	solution	NOUN
cana-1242	87	14	and	and	CCONJ
cana-1242	87	15	then	then	ADV
cana-1242	87	16	fuzzy	fuzzy	ADJ
cana-1242	87	17	cmeans	cmean	NOUN
cana-1242	87	18	was	be	AUX
cana-1242	87	19	implemented	implement	VERB
cana-1242	87	20	.	.	PUNCT
cana-1242	88	1	from	from	ADP
cana-1242	88	2	the	the	DET
cana-1242	88	3	observed	observed	ADJ
cana-1242	88	4	outcome	outcome	NOUN
cana-1242	88	5	,	,	PUNCT
cana-1242	88	6	it	it	PRON
cana-1242	88	7	was	be	AUX
cana-1242	88	8	revealed	reveal	VERB
cana-1242	88	9	that	that	SCONJ
cana-1242	88	10	hofcm	hofcm	PROPN
cana-1242	88	11	lessen	lessen	VERB
cana-1242	88	12	the	the	DET
cana-1242	88	13	time	time	NOUN
cana-1242	88	14	as	as	ADV
cana-1242	88	15	well	well	ADV
cana-1242	88	16	as	as	ADP
cana-1242	88	17	the	the	DET
cana-1242	88	18	quality	quality	NOUN
cana-1242	88	19	of	of	ADP
cana-1242	88	20	the	the	DET
cana-1242	88	21	solution	solution	NOUN
cana-1242	88	22	was	be	AUX
cana-1242	88	23	93.94	93.94	NUM
cana-1242	88	24	%	%	NOUN
cana-1242	88	25	.	.	PUNCT
cana-1242	89	1	seyyed	seyye	VERB
cana-1242	89	2	mohammad	mohammad	PROPN
cana-1242	89	3	razavi	razavi	VERB
cana-1242	89	4	et	et	PROPN
cana-1242	89	5	al	al	PROPN
cana-1242	90	1	[	[	X
cana-1242	90	2	19	19	NUM
cana-1242	90	3	]	]	PUNCT
cana-1242	90	4	addressed	address	VERB
cana-1242	90	5	time	time	NOUN
cana-1242	90	6	and	and	CCONJ
cana-1242	90	7	space	space	NOUN
cana-1242	90	8	complexity	complexity	NOUN
cana-1242	90	9	analysis	analysis	NOUN
cana-1242	90	10	on	on	ADP
cana-1242	90	11	clustering	cluster	VERB
cana-1242	90	12	data	datum	NOUN
cana-1242	90	13	while	while	SCONJ
cana-1242	90	14	using	use	VERB
cana-1242	90	15	big	big	ADJ
cana-1242	90	16	data	datum	NOUN
cana-1242	90	17	.	.	PUNCT
cana-1242	91	1	this	this	DET
cana-1242	91	2	work	work	NOUN
cana-1242	91	3	used	use	VERB
cana-1242	91	4	a	a	DET
cana-1242	91	5	bee	bee	NOUN
cana-1242	91	6	colony	colony	NOUN
cana-1242	91	7	algorithm	algorithm	NOUN
cana-1242	91	8	and	and	CCONJ
cana-1242	91	9	map	map	NOUN
cana-1242	91	10	-	-	PUNCT
cana-1242	91	11	reduce	reduce	VERB
cana-1242	91	12	architecture	architecture	NOUN
cana-1242	91	13	.	.	PUNCT
cana-1242	92	1	the	the	DET
cana-1242	92	2	adjusted	adjust	VERB
cana-1242	92	3	rand	rand	NOUN
cana-1242	92	4	score	score	NOUN
cana-1242	92	5	(	(	PUNCT
cana-1242	92	6	ari	ari	PROPN
cana-1242	92	7	)	)	PUNCT
cana-1242	92	8	parameter	parameter	NOUN
cana-1242	92	9	was	be	AUX
cana-1242	92	10	used	use	VERB
cana-1242	92	11	to	to	PART
cana-1242	92	12	assess	assess	VERB
cana-1242	92	13	the	the	DET
cana-1242	92	14	quality	quality	NOUN
cana-1242	92	15	of	of	ADP
cana-1242	92	16	clustering	clustering	NOUN
cana-1242	92	17	and	and	CCONJ
cana-1242	92	18	found	find	VERB
cana-1242	92	19	the	the	DET
cana-1242	92	20	proposed	propose	VERB
cana-1242	92	21	method	method	NOUN
cana-1242	92	22	gives	give	VERB
cana-1242	92	23	high	high	ADJ
cana-1242	92	24	ari	ari	PROPN
cana-1242	92	25	value	value	NOUN
cana-1242	92	26	.	.	PUNCT
cana-1242	93	1	ahmad	ahmad	PROPN
cana-1242	93	2	afif	afif	PROPN
cana-1242	93	3	supianto	supianto	ADP
cana-1242	93	4	et	et	PROPN
cana-1242	93	5	al	al	PROPN
cana-1242	94	1	[	[	X
cana-1242	94	2	20	20	NUM
cana-1242	94	3	]	]	PUNCT
cana-1242	94	4	employed	employ	VERB
cana-1242	94	5	(	(	PUNCT
cana-1242	94	6	fcmpso	fcmpso	NOUN
cana-1242	94	7	)	)	PUNCT
cana-1242	94	8	method	method	NOUN
cana-1242	94	9	with	with	ADP
cana-1242	94	10	the	the	DET
cana-1242	94	11	combination	combination	NOUN
cana-1242	94	12	of	of	ADP
cana-1242	94	13	fuzzy	fuzzy	ADJ
cana-1242	94	14	-	-	PUNCT
cana-1242	94	15	cmeans	cmean	NOUN
cana-1242	94	16	,	,	PUNCT
cana-1242	94	17	pso	pso	NOUN
cana-1242	94	18	to	to	PART
cana-1242	94	19	merge	merge	VERB
cana-1242	94	20	students	student	NOUN
cana-1242	94	21	on	on	ADP
cana-1242	94	22	the	the	DET
cana-1242	94	23	basis	basis	NOUN
cana-1242	94	24	of	of	ADP
cana-1242	94	25	their	their	PRON
cana-1242	94	26	learning	learning	NOUN
cana-1242	94	27	activity	activity	NOUN
cana-1242	94	28	.	.	PUNCT
cana-1242	95	1	this	this	DET
cana-1242	95	2	work	work	NOUN
cana-1242	95	3	utilized	utilize	VERB
cana-1242	95	4	the	the	DET
cana-1242	95	5	silhoutte	silhoutte	PROPN
cana-1242	95	6	coefficient	coefficient	NOUN
cana-1242	95	7	as	as	ADP
cana-1242	95	8	an	an	DET
cana-1242	95	9	evaluation	evaluation	NOUN
cana-1242	95	10	method	method	NOUN
cana-1242	95	11	.	.	PUNCT
cana-1242	96	1	two	two	NUM
cana-1242	96	2	clusters	cluster	NOUN
cana-1242	96	3	were	be	AUX
cana-1242	96	4	formed	form	VERB
cana-1242	96	5	with	with	ADP
cana-1242	96	6	high	high	ADJ
cana-1242	96	7	and	and	CCONJ
cana-1242	96	8	low	low	ADJ
cana-1242	96	9	performance	performance	NOUN
cana-1242	96	10	.	.	PUNCT
cana-1242	97	1	fcmpso	fcmpso	PROPN
cana-1242	97	2	improved	improve	VERB
cana-1242	97	3	the	the	DET
cana-1242	97	4	original	original	ADJ
cana-1242	97	5	fcm	fcm	NOUN
cana-1242	97	6	with	with	ADP
cana-1242	97	7	the	the	DET
cana-1242	97	8	assessment	assessment	NOUN
cana-1242	97	9	of	of	ADP
cana-1242	97	10	silhoutte	silhoutte	PROPN
cana-1242	97	11	coefficient	coefficient	NOUN
cana-1242	97	12	.	.	PUNCT
cana-1242	98	1	3	3	X
cana-1242	98	2	.	.	X
cana-1242	98	3	objectives	objective	NOUN
cana-1242	98	4	to	to	PART
cana-1242	98	5	lessen	lessen	VERB
cana-1242	98	6	the	the	DET
cana-1242	98	7	computational	computational	ADJ
cana-1242	98	8	complexity	complexity	NOUN
cana-1242	98	9	in	in	ADP
cana-1242	98	10	using	use	VERB
cana-1242	98	11	hierarchical	hierarchical	ADJ
cana-1242	98	12	clustering	clustering	NOUN
cana-1242	98	13	,	,	PUNCT
cana-1242	98	14	to	to	PART
cana-1242	98	15	fix	fix	VERB
cana-1242	98	16	a	a	DET
cana-1242	98	17	optimum	optimum	ADJ
cana-1242	98	18	threshold	threshold	NOUN
cana-1242	98	19	value	value	NOUN
cana-1242	98	20	in	in	ADP
cana-1242	98	21	dendrogram	dendrogram	NOUN
cana-1242	98	22	height	height	NOUN
cana-1242	98	23	while	while	SCONJ
cana-1242	98	24	combining	combine	VERB
cana-1242	98	25	flat	flat	ADJ
cana-1242	98	26	clustering	clustering	NOUN
cana-1242	98	27	,	,	PUNCT
cana-1242	98	28	to	to	PART
cana-1242	98	29	analyze	analyze	VERB
cana-1242	98	30	the	the	DET
cana-1242	98	31	performance	performance	NOUN
cana-1242	98	32	by	by	ADP
cana-1242	98	33	using	use	VERB
cana-1242	98	34	mathematical	mathematical	ADJ
cana-1242	98	35	objective	objective	ADJ
cana-1242	98	36	function	function	NOUN
cana-1242	98	37	in	in	ADP
cana-1242	98	38	hierarchical	hierarchical	ADJ
cana-1242	98	39	clustering	clustering	NOUN
cana-1242	98	40	.	.	PUNCT
cana-1242	99	1	4	4	X
cana-1242	99	2	.	.	X
cana-1242	99	3	methods	method	NOUN
cana-1242	99	4	proposed	propose	VERB
cana-1242	99	5	methodology	methodology	NOUN
cana-1242	99	6	fuzzy	fuzzy	ADJ
cana-1242	99	7	partition	partition	NOUN
cana-1242	99	8	based	base	VERB
cana-1242	99	9	hierarchical	hierarchical	ADJ
cana-1242	99	10	agglomerative	agglomerative	ADJ
cana-1242	99	11	clustering	clustering	NOUN
cana-1242	99	12	fphac	fphac	NOUN
cana-1242	99	13	this	this	DET
cana-1242	99	14	portion	portion	NOUN
cana-1242	99	15	introduces	introduce	VERB
cana-1242	99	16	fphac	fphac	NOUN
cana-1242	99	17	algorithm	algorithm	NOUN
cana-1242	99	18	that	that	PRON
cana-1242	99	19	includes	include	VERB
cana-1242	99	20	preprocessing	preprocessing	NOUN
cana-1242	99	21	,	,	PUNCT
cana-1242	99	22	fuzzy	fuzzy	ADJ
cana-1242	99	23	partitioning	partitioning	NOUN
cana-1242	99	24	,	,	PUNCT
cana-1242	99	25	effective	effective	ADJ
cana-1242	99	26	hierarchical	hierarchical	ADJ
cana-1242	99	27	flat	flat	ADJ
cana-1242	99	28	clustering	clustering	NOUN
cana-1242	99	29	.	.	PUNCT
cana-1242	100	1	the	the	DET
cana-1242	100	2	proposed	propose	VERB
cana-1242	100	3	method	method	NOUN
cana-1242	100	4	fphac	fphac	NOUN
cana-1242	100	5	starts	start	VERB
cana-1242	100	6	with	with	ADP
cana-1242	100	7	replacing	replace	VERB
cana-1242	100	8	missing	missing	ADJ
cana-1242	100	9	values	value	NOUN
cana-1242	100	10	,	,	PUNCT
cana-1242	100	11	nominal	nominal	ADJ
cana-1242	100	12	to	to	ADP
cana-1242	100	13	numerical	numerical	ADJ
cana-1242	100	14	data	data	PROPN
cana-1242	100	15	transformation	transformation	NOUN
cana-1242	100	16	,	,	PUNCT
cana-1242	100	17	data	datum	NOUN
cana-1242	100	18	summarization	summarization	NOUN
cana-1242	100	19	with	with	ADP
cana-1242	100	20	pivot	pivot	NOUN
cana-1242	100	21	table	table	NOUN
cana-1242	100	22	.	.	PUNCT
cana-1242	101	1	after	after	ADP
cana-1242	101	2	summarization	summarization	NOUN
cana-1242	101	3	,	,	PUNCT
cana-1242	101	4	the	the	DET
cana-1242	101	5	total	total	ADJ
cana-1242	101	6	samples	sample	NOUN
cana-1242	101	7	in	in	ADP
cana-1242	101	8	the	the	DET
cana-1242	101	9	dataset	dataset	NOUN
cana-1242	101	10	is	be	AUX
cana-1242	101	11	minimized	minimize	VERB
cana-1242	101	12	and	and	CCONJ
cana-1242	101	13	aggregated	aggregate	VERB
cana-1242	101	14	based	base	VERB
cana-1242	101	15	on	on	ADP
cana-1242	101	16	the	the	DET
cana-1242	101	17	transaction	transaction	NOUN
cana-1242	101	18	and	and	CCONJ
cana-1242	101	19	analysis	analysis	NOUN
cana-1242	101	20	.	.	PUNCT
cana-1242	102	1	then	then	ADV
cana-1242	102	2	,	,	PUNCT
cana-1242	102	3	split	split	VERB
cana-1242	102	4	data	data	NOUN
cana-1242	102	5	operator	operator	NOUN
cana-1242	102	6	(	(	PUNCT
cana-1242	102	7	value	value	NOUN
cana-1242	102	8	with	with	ADP
cana-1242	102	9	0.2	0.2	NUM
cana-1242	102	10	)	)	PUNCT
cana-1242	102	11	is	be	AUX
cana-1242	102	12	applied	apply	VERB
cana-1242	102	13	to	to	PART
cana-1242	102	14	segment	segment	VERB
cana-1242	102	15	the	the	DET
cana-1242	102	16	data	datum	NOUN
cana-1242	102	17	for	for	ADP
cana-1242	102	18	minimal	minimal	ADJ
cana-1242	102	19	memory	memory	NOUN
cana-1242	102	20	and	and	CCONJ
cana-1242	102	21	time	time	NOUN
cana-1242	102	22	consumption	consumption	NOUN
cana-1242	102	23	in	in	ADP
cana-1242	102	24	hierarchical	hierarchical	ADJ
cana-1242	102	25	clustering	clustering	NOUN
cana-1242	102	26	.	.	PUNCT
cana-1242	103	1	fuzzy	fuzzy	ADJ
cana-1242	103	2	clustering	clustering	NOUN
cana-1242	103	3	is	be	AUX
cana-1242	103	4	implemented	implement	VERB
cana-1242	103	5	for	for	ADP
cana-1242	103	6	obtaining	obtain	VERB
cana-1242	103	7	the	the	DET
cana-1242	103	8	fuzzy	fuzzy	ADJ
cana-1242	103	9	partition	partition	NOUN
cana-1242	103	10	matrix	matrix	NOUN
cana-1242	103	11	.	.	PUNCT
cana-1242	104	1	this	this	DET
cana-1242	104	2	output	output	NOUN
cana-1242	104	3	partition	partition	NOUN
cana-1242	104	4	matrix	matrix	NOUN
cana-1242	104	5	is	be	AUX
cana-1242	104	6	transformed	transform	VERB
cana-1242	104	7	to	to	ADP
cana-1242	104	8	regular	regular	ADJ
cana-1242	104	9	attributes	attribute	NOUN
cana-1242	104	10	,	,	PUNCT
cana-1242	104	11	added	add	VERB
cana-1242	104	12	with	with	ADP
cana-1242	104	13	the	the	DET
cana-1242	104	14	transformed	transform	VERB
cana-1242	104	15	dataset	dataset	NOUN
cana-1242	104	16	in	in	ADP
cana-1242	104	17	order	order	NOUN
cana-1242	104	18	to	to	PART
cana-1242	104	19	get	get	VERB
cana-1242	104	20	the	the	DET
cana-1242	104	21	initial	initial	ADJ
cana-1242	104	22	probability	probability	NOUN
cana-1242	104	23	detail	detail	NOUN
cana-1242	104	24	of	of	ADP
cana-1242	104	25	being	be	AUX
cana-1242	104	26	in	in	ADP
cana-1242	104	27	the	the	DET
cana-1242	104	28	cluster	cluster	NOUN
cana-1242	104	29	.	.	PUNCT
cana-1242	105	1	hierarchical	hierarchical	ADJ
cana-1242	105	2	agglomerative	agglomerative	ADJ
cana-1242	105	3	clustering	clustering	NOUN
cana-1242	105	4	(	(	PUNCT
cana-1242	105	5	hac	hac	NOUN
cana-1242	105	6	)	)	PUNCT
cana-1242	105	7	with	with	ADP
cana-1242	105	8	complete	complete	ADJ
cana-1242	105	9	linkage	linkage	NOUN
cana-1242	105	10	criteria	criterion	NOUN
cana-1242	105	11	is	be	AUX
cana-1242	105	12	implemented	implement	VERB
cana-1242	105	13	in	in	ADP
cana-1242	105	14	the	the	DET
cana-1242	105	15	new	new	ADJ
cana-1242	105	16	dataset	dataset	NOUN
cana-1242	105	17	and	and	CCONJ
cana-1242	105	18	it	it	PRON
cana-1242	105	19	produces	produce	VERB
cana-1242	105	20	hierarchy	hierarchy	NOUN
cana-1242	105	21	of	of	ADP
cana-1242	105	22	clusters	cluster	NOUN
cana-1242	105	23	and	and	CCONJ
cana-1242	105	24	output	output	NOUN
cana-1242	105	25	is	be	AUX
cana-1242	105	26	visualized	visualize	VERB
cana-1242	105	27	in	in	ADP
cana-1242	105	28	dendrogram	dendrogram	NOUN
cana-1242	105	29	.	.	PUNCT
cana-1242	106	1	to	to	PART
cana-1242	106	2	ease	ease	VERB
cana-1242	106	3	the	the	DET
cana-1242	106	4	analysis	analysis	NOUN
cana-1242	106	5	with	with	ADP
cana-1242	106	6	the	the	DET
cana-1242	106	7	hierarchy	hierarchy	NOUN
cana-1242	106	8	,	,	PUNCT
cana-1242	106	9	this	this	DET
cana-1242	106	10	work	work	NOUN
cana-1242	106	11	applies	apply	VERB
cana-1242	106	12	flat	flat	ADJ
cana-1242	106	13	clustering	clustering	NOUN
cana-1242	106	14	with	with	ADP
cana-1242	106	15	the	the	DET
cana-1242	106	16	distance	distance	NOUN
cana-1242	106	17	threshold	threshold	NOUN
cana-1242	106	18	value	value	NOUN
cana-1242	106	19	.	.	PUNCT
cana-1242	107	1	based	base	VERB
cana-1242	107	2	on	on	ADP
cana-1242	107	3	the	the	DET
cana-1242	107	4	threshold	threshold	NOUN
cana-1242	107	5	value	value	NOUN
cana-1242	107	6	,	,	PUNCT
cana-1242	107	7	the	the	DET
cana-1242	107	8	clusters	cluster	NOUN
cana-1242	107	9	are	be	AUX
cana-1242	107	10	formed	form	VERB
cana-1242	107	11	.	.	PUNCT
cana-1242	108	1	to	to	PART
cana-1242	108	2	fix	fix	VERB
cana-1242	108	3	optimum	optimum	ADJ
cana-1242	108	4	threshold	threshold	NOUN
cana-1242	108	5	value	value	NOUN
cana-1242	108	6	this	this	DET
cana-1242	108	7	work	work	NOUN
cana-1242	108	8	proposes	propose	VERB
cana-1242	108	9	an	an	DET
cana-1242	108	10	objective	objective	ADJ
cana-1242	108	11	function	function	NOUN
cana-1242	108	12	sos	sos	NOUN
cana-1242	108	13	(	(	PUNCT
cana-1242	108	14	sum	sum	NOUN
cana-1242	108	15	of	of	ADP
cana-1242	108	16	squares	square	NOUN
cana-1242	108	17	)	)	PUNCT
cana-1242	108	18	.	.	PUNCT
cana-1242	109	1	on	on	ADP
cana-1242	109	2	the	the	DET
cana-1242	109	3	basis	basis	NOUN
cana-1242	109	4	of	of	ADP
cana-1242	109	5	the	the	DET
cana-1242	109	6	user	user	NOUN
cana-1242	109	7	fixed	fix	VERB
cana-1242	109	8	sos	sos	PROPN
cana-1242	109	9	value	value	NOUN
cana-1242	109	10	,	,	PUNCT
cana-1242	109	11	the	the	DET
cana-1242	109	12	distance	distance	NOUN
cana-1242	109	13	threshold(height	threshold(height	PROPN
cana-1242	109	14	of	of	ADP
cana-1242	109	15	the	the	DET
cana-1242	109	16	dendrogram	dendrogram	NOUN
cana-1242	109	17	)	)	PUNCT
cana-1242	109	18	is	be	AUX
cana-1242	109	19	determined	determine	VERB
cana-1242	109	20	.	.	PUNCT
cana-1242	110	1	finally	finally	ADV
cana-1242	110	2	,	,	PUNCT
cana-1242	110	3	the	the	DET
cana-1242	110	4	method	method	NOUN
cana-1242	110	5	is	be	AUX
cana-1242	110	6	evaluated	evaluate	VERB
cana-1242	110	7	with	with	ADP
cana-1242	110	8	intra	intra	ADJ
cana-1242	110	9	cluster	cluster	NOUN
cana-1242	110	10	distance	distance	NOUN
cana-1242	110	11	measure	measure	NOUN
cana-1242	110	12	.	.	PUNCT
cana-1242	111	1	communications	communication	NOUN
cana-1242	111	2	on	on	ADP
cana-1242	111	3	applied	apply	VERB
cana-1242	111	4	nonlinear	nonlinear	ADJ
cana-1242	111	5	analysis	analysis	NOUN
cana-1242	111	6	issn	issn	NOUN
cana-1242	111	7	:	:	PUNCT
cana-1242	111	8	1074	1074	NUM
cana-1242	111	9	-	-	PUNCT
cana-1242	111	10	133x	133x	NUM
cana-1242	111	11	vol	vol	NOUN
cana-1242	111	12	31	31	NUM
cana-1242	111	13	no	no	NOUN
cana-1242	111	14	.	.	PUNCT
cana-1242	112	1	6s	6s	NUM
cana-1242	112	2	(	(	PUNCT
cana-1242	112	3	2024	2024	NUM
cana-1242	112	4	)	)	PUNCT
cana-1242	112	5	542	542	NUM
cana-1242	112	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	112	7	4.1	4.1	NUM
cana-1242	112	8	data	datum	NOUN
cana-1242	112	9	summarization	summarization	NOUN
cana-1242	112	10	the	the	DET
cana-1242	112	11	data	datum	NOUN
cana-1242	112	12	in	in	ADP
cana-1242	112	13	a	a	DET
cana-1242	112	14	larger	large	ADJ
cana-1242	112	15	table	table	NOUN
cana-1242	112	16	is	be	AUX
cana-1242	112	17	reorganized	reorganize	VERB
cana-1242	112	18	into	into	ADP
cana-1242	112	19	groups	group	NOUN
cana-1242	112	20	by	by	ADP
cana-1242	112	21	calculating	calculate	VERB
cana-1242	112	22	sums	sum	NOUN
cana-1242	112	23	,	,	PUNCT
cana-1242	112	24	averages	average	NOUN
cana-1242	112	25	,	,	PUNCT
cana-1242	112	26	or	or	CCONJ
cana-1242	112	27	other	other	ADJ
cana-1242	112	28	statistics	statistic	NOUN
cana-1242	112	29	functions	function	NOUN
cana-1242	112	30	for	for	ADP
cana-1242	112	31	each	each	DET
cana-1242	112	32	group	group	NOUN
cana-1242	112	33	based	base	VERB
cana-1242	112	34	on	on	ADP
cana-1242	112	35	the	the	DET
cana-1242	112	36	analysis	analysis	NOUN
cana-1242	112	37	.	.	PUNCT
cana-1242	113	1	the	the	DET
cana-1242	113	2	pivot	pivot	NOUN
cana-1242	113	3	table	table	NOUN
cana-1242	113	4	is	be	AUX
cana-1242	113	5	defined	define	VERB
cana-1242	113	6	by	by	ADP
cana-1242	113	7	three	three	NUM
cana-1242	113	8	new	new	ADJ
cana-1242	113	9	attributes	attribute	NOUN
cana-1242	113	10	such	such	ADJ
cana-1242	113	11	as	as	ADP
cana-1242	113	12	group	group	NOUN
cana-1242	113	13	by	by	ADP
cana-1242	113	14	attributes	attribute	NOUN
cana-1242	113	15	for	for	ADP
cana-1242	113	16	row	row	NOUN
cana-1242	113	17	,	,	PUNCT
cana-1242	113	18	column	column	NOUN
cana-1242	113	19	grouping	grouping	NOUN
cana-1242	113	20	attributes	attribute	NOUN
cana-1242	113	21	,	,	PUNCT
cana-1242	113	22	and	and	CCONJ
cana-1242	113	23	aggregation	aggregation	NOUN
cana-1242	113	24	attributes	attribute	VERB
cana-1242	113	25	.	.	PUNCT
cana-1242	114	1	the	the	DET
cana-1242	114	2	function	function	NOUN
cana-1242	114	3	used	use	VERB
cana-1242	114	4	for	for	ADP
cana-1242	114	5	this	this	DET
cana-1242	114	6	purpose	purpose	NOUN
cana-1242	114	7	creates	create	VERB
cana-1242	114	8	a	a	DET
cana-1242	114	9	unique	unique	ADJ
cana-1242	114	10	row	row	NOUN
cana-1242	114	11	,	,	PUNCT
cana-1242	114	12	unique	unique	ADJ
cana-1242	114	13	column	column	NOUN
cana-1242	114	14	and	and	CCONJ
cana-1242	114	15	assign	assign	VERB
cana-1242	114	16	every	every	DET
cana-1242	114	17	transactions	transaction	NOUN
cana-1242	114	18	to	to	ADP
cana-1242	114	19	the	the	DET
cana-1242	114	20	appropriate	appropriate	ADJ
cana-1242	114	21	row	row	NOUN
cana-1242	114	22	and	and	CCONJ
cana-1242	114	23	column	column	NOUN
cana-1242	114	24	by	by	ADP
cana-1242	114	25	aggregating	aggregate	VERB
cana-1242	114	26	the	the	DET
cana-1242	114	27	transaction	transaction	NOUN
cana-1242	114	28	.	.	PUNCT
cana-1242	115	1	the	the	DET
cana-1242	115	2	most	most	ADV
cana-1242	115	3	common	common	ADJ
cana-1242	115	4	functions	function	NOUN
cana-1242	115	5	used	use	VERB
cana-1242	115	6	are	be	AUX
cana-1242	115	7	count	count	ADJ
cana-1242	115	8	,	,	PUNCT
cana-1242	115	9	average	average	ADJ
cana-1242	115	10	,	,	PUNCT
cana-1242	115	11	product	product	NOUN
cana-1242	115	12	,	,	PUNCT
cana-1242	115	13	maximum	maximum	ADJ
cana-1242	115	14	,	,	PUNCT
cana-1242	115	15	minimum	minimum	ADJ
cana-1242	115	16	,	,	PUNCT
cana-1242	115	17	mode	mode	NOUN
cana-1242	115	18	,	,	PUNCT
cana-1242	115	19	median	median	ADJ
cana-1242	115	20	,	,	PUNCT
cana-1242	115	21	standard	standard	ADJ
cana-1242	115	22	deviation	deviation	NOUN
cana-1242	115	23	,	,	PUNCT
cana-1242	115	24	sum	sum	NOUN
cana-1242	115	25	,	,	PUNCT
cana-1242	115	26	and	and	CCONJ
cana-1242	115	27	variance	variance	NOUN
cana-1242	115	28	.	.	PUNCT
cana-1242	116	1	example	example	NOUN
cana-1242	116	2	:	:	PUNCT
cana-1242	116	3	in	in	ADP
cana-1242	116	4	table	table	NOUN
cana-1242	116	5	1	1	NUM
cana-1242	116	6	,	,	PUNCT
cana-1242	116	7	the	the	DET
cana-1242	116	8	original	original	ADJ
cana-1242	116	9	table	table	NOUN
cana-1242	116	10	is	be	AUX
cana-1242	116	11	converted	convert	VERB
cana-1242	116	12	to	to	ADP
cana-1242	116	13	pivot	pivot	NOUN
cana-1242	116	14	table	table	NOUN
cana-1242	116	15	by	by	ADP
cana-1242	116	16	aggregating	aggregate	VERB
cana-1242	116	17	the	the	DET
cana-1242	116	18	year	year	NOUN
cana-1242	116	19	with	with	ADP
cana-1242	116	20	region	region	NOUN
cana-1242	116	21	and	and	CCONJ
cana-1242	116	22	sales	sale	NOUN
cana-1242	116	23	.	.	PUNCT
cana-1242	117	1	here	here	ADV
cana-1242	117	2	the	the	DET
cana-1242	117	3	number	number	NOUN
cana-1242	117	4	of	of	ADP
cana-1242	117	5	column	column	NOUN
cana-1242	117	6	and	and	CCONJ
cana-1242	117	7	rows	row	NOUN
cana-1242	117	8	are	be	AUX
cana-1242	117	9	minimized	minimize	VERB
cana-1242	117	10	and	and	CCONJ
cana-1242	117	11	made	make	VERB
cana-1242	117	12	simple	simple	ADJ
cana-1242	117	13	which	which	PRON
cana-1242	117	14	in	in	ADP
cana-1242	117	15	turn	turn	NOUN
cana-1242	117	16	ease	ease	VERB
cana-1242	117	17	the	the	DET
cana-1242	117	18	analysis	analysis	NOUN
cana-1242	117	19	.	.	PUNCT
cana-1242	118	1	table	table	NOUN
cana-1242	118	2	1	1	NUM
cana-1242	118	3	.	.	PUNCT
cana-1242	118	4	original	original	ADJ
cana-1242	118	5	,	,	PUNCT
cana-1242	118	6	pivot	pivot	NOUN
cana-1242	118	7	table	table	NOUN
cana-1242	118	8	4.2	4.2	NUM
cana-1242	118	9	linear	linear	NOUN
cana-1242	118	10	sampling	sample	VERB
cana-1242	118	11	the	the	DET
cana-1242	118	12	classic	classic	ADJ
cana-1242	118	13	hierarchical	hierarchical	ADJ
cana-1242	118	14	agglomerative	agglomerative	ADJ
cana-1242	118	15	clustering	clustering	NOUN
cana-1242	118	16	(	(	PUNCT
cana-1242	118	17	hac	hac	X
cana-1242	118	18	)	)	PUNCT
cana-1242	118	19	has	have	VERB
cana-1242	118	20	a	a	DET
cana-1242	118	21	time	time	NOUN
cana-1242	118	22	complexity	complexity	NOUN
cana-1242	118	23	of	of	ADP
cana-1242	118	24	o(n3	o(n3	NOUN
cana-1242	118	25	)	)	PUNCT
cana-1242	118	26	and	and	CCONJ
cana-1242	118	27	needs	need	NOUN
cana-1242	118	28	(n2	(n2	ADJ
cana-1242	118	29	)	)	PUNCT
cana-1242	118	30	memory	memory	NOUN
cana-1242	118	31	,	,	PUNCT
cana-1242	118	32	hence	hence	ADV
cana-1242	118	33	it	it	PRON
cana-1242	118	34	takes	take	VERB
cana-1242	118	35	more	more	ADJ
cana-1242	118	36	processing	processing	NOUN
cana-1242	118	37	time	time	NOUN
cana-1242	118	38	even	even	ADV
cana-1242	118	39	for	for	ADP
cana-1242	118	40	small	small	ADJ
cana-1242	118	41	datasets	dataset	NOUN
cana-1242	118	42	.	.	PUNCT
cana-1242	119	1	to	to	PART
cana-1242	119	2	handle	handle	VERB
cana-1242	119	3	this	this	DET
cana-1242	119	4	issue	issue	NOUN
cana-1242	119	5	,	,	PUNCT
cana-1242	119	6	the	the	DET
cana-1242	119	7	dataset	dataset	NOUN
cana-1242	119	8	is	be	AUX
cana-1242	119	9	applied	apply	VERB
cana-1242	119	10	with	with	ADP
cana-1242	119	11	split	split	ADJ
cana-1242	119	12	data	data	NOUN
cana-1242	119	13	operator	operator	NOUN
cana-1242	119	14	that	that	PRON
cana-1242	119	15	creates	create	VERB
cana-1242	119	16	subsets	subset	NOUN
cana-1242	119	17	(	(	PUNCT
cana-1242	119	18	partition	partition	NOUN
cana-1242	119	19	)	)	PUNCT
cana-1242	119	20	of	of	ADP
cana-1242	119	21	the	the	DET
cana-1242	119	22	data	datum	NOUN
cana-1242	119	23	as	as	ADP
cana-1242	119	24	per	per	ADP
cana-1242	119	25	the	the	DET
cana-1242	119	26	user	user	NOUN
cana-1242	119	27	prescribed	prescribe	VERB
cana-1242	119	28	ratio	ratio	NOUN
cana-1242	119	29	(	(	PUNCT
cana-1242	119	30	0.2	0.2	NUM
cana-1242	119	31	)	)	PUNCT
cana-1242	119	32	and	and	CCONJ
cana-1242	119	33	then	then	ADV
cana-1242	119	34	the	the	DET
cana-1242	119	35	clustering	clustering	NOUN
cana-1242	119	36	is	be	AUX
cana-1242	119	37	implemented	implement	VERB
cana-1242	119	38	in	in	ADP
cana-1242	119	39	serial	serial	ADJ
cana-1242	119	40	execution	execution	NOUN
cana-1242	119	41	.	.	PUNCT
cana-1242	120	1	this	this	DET
cana-1242	120	2	work	work	NOUN
cana-1242	120	3	applied	apply	VERB
cana-1242	120	4	split	split	VERB
cana-1242	120	5	with	with	ADP
cana-1242	120	6	linear	linear	ADJ
cana-1242	120	7	sampling	sampling	NOUN
cana-1242	120	8	.	.	PUNCT
cana-1242	121	1	each	each	DET
cana-1242	121	2	partition	partition	NOUN
cana-1242	121	3	is	be	AUX
cana-1242	121	4	evaluated	evaluate	VERB
cana-1242	121	5	for	for	ADP
cana-1242	121	6	performance	performance	NOUN
cana-1242	121	7	individually	individually	ADV
cana-1242	121	8	there	there	ADV
cana-1242	121	9	by	by	ADP
cana-1242	121	10	reduces	reduce	VERB
cana-1242	121	11	the	the	DET
cana-1242	121	12	time	time	NOUN
cana-1242	121	13	and	and	CCONJ
cana-1242	121	14	memory	memory	NOUN
cana-1242	121	15	complexity	complexity	NOUN
cana-1242	121	16	while	while	SCONJ
cana-1242	121	17	executing	execute	VERB
cana-1242	121	18	.	.	PUNCT
cana-1242	122	1	the	the	DET
cana-1242	122	2	samples	sample	NOUN
cana-1242	122	3	are	be	AUX
cana-1242	122	4	derived	derive	VERB
cana-1242	122	5	by	by	ADP
cana-1242	122	6	using	use	VERB
cana-1242	122	7	the	the	DET
cana-1242	122	8	formula	formula	NOUN
cana-1242	122	9	,	,	PUNCT
cana-1242	122	10	n	n	CCONJ
cana-1242	122	11	(	(	PUNCT
cana-1242	122	12	n1	n1	PROPN
cana-1242	122	13	+	+	CCONJ
cana-1242	122	14	n2	n2	ADJ
cana-1242	122	15	)	)	PUNCT
cana-1242	122	16	∗	∗	NOUN
cana-1242	122	17	p	p	NOUN
cana-1242	122	18	(	(	PUNCT
cana-1242	122	19	6	6	NUM
cana-1242	122	20	)	)	PUNCT
cana-1242	122	21	where	where	SCONJ
cana-1242	122	22	,	,	PUNCT
cana-1242	122	23	n	n	PRON
cana-1242	122	24	is	be	AUX
cana-1242	122	25	the	the	DET
cana-1242	122	26	total	total	ADJ
cana-1242	122	27	number	number	NOUN
cana-1242	122	28	of	of	ADP
cana-1242	122	29	samples	sample	NOUN
cana-1242	122	30	,	,	PUNCT
cana-1242	122	31	n1	n1	NOUN
cana-1242	122	32	,	,	PUNCT
cana-1242	122	33	n2	n2	NOUN
cana-1242	122	34	are	be	AUX
cana-1242	122	35	the	the	DET
cana-1242	122	36	partitions	partition	NOUN
cana-1242	122	37	,	,	PUNCT
cana-1242	122	38	p	p	NOUN
cana-1242	122	39	is	be	AUX
cana-1242	122	40	the	the	DET
cana-1242	122	41	ratio	ratio	NOUN
cana-1242	122	42	of	of	ADP
cana-1242	122	43	the	the	DET
cana-1242	122	44	particular	particular	ADJ
cana-1242	122	45	partition	partition	NOUN
cana-1242	122	46	.	.	PUNCT
cana-1242	123	1	the	the	DET
cana-1242	123	2	decimal	decimal	NOUN
cana-1242	123	3	can	can	AUX
cana-1242	123	4	be	be	AUX
cana-1242	123	5	rounded	round	VERB
cana-1242	123	6	off	off	ADP
cana-1242	123	7	.	.	PUNCT
cana-1242	124	1	original	original	ADJ
cana-1242	124	2	table	table	NOUN
cana-1242	124	3	year	year	NOUN
cana-1242	124	4	region	region	NOUN
cana-1242	124	5	sales	sale	NOUN
cana-1242	124	6	country	country	NOUN
cana-1242	124	7	2022	2022	NUM
cana-1242	124	8	north	north	NOUN
cana-1242	124	9	1800	1800	NUM
cana-1242	124	10	pune	pune	NOUN
cana-1242	124	11	2022	2022	NUM
cana-1242	124	12	south	south	PROPN
cana-1242	124	13	1500	1500	NUM
cana-1242	124	14	kerala	kerala	PROPN
cana-1242	124	15	2023	2023	NUM
cana-1242	124	16	south	south	NOUN
cana-1242	124	17	2000	2000	NUM
cana-1242	124	18	kerala	kerala	NOUN
cana-1242	124	19	2023	2023	NUM
cana-1242	124	20	north	north	NOUN
cana-1242	124	21	900	900	NUM
cana-1242	124	22	pune	pune	NOUN
cana-1242	124	23	pivot	pivot	NOUN
cana-1242	124	24	table	table	NOUN
cana-1242	124	25	year	year	NOUN
cana-1242	124	26	north	north	PROPN
cana-1242	124	27	south	south	PROPN
cana-1242	124	28	2022	2022	NUM
cana-1242	124	29	1800	1800	NUM
cana-1242	124	30	1500	1500	NUM
cana-1242	124	31	2023	2023	NUM
cana-1242	124	32	900	900	NUM
cana-1242	124	33	2000	2000	NUM
cana-1242	124	34	communications	communication	NOUN
cana-1242	124	35	on	on	ADP
cana-1242	124	36	applied	apply	VERB
cana-1242	124	37	nonlinear	nonlinear	ADJ
cana-1242	124	38	analysis	analysis	NOUN
cana-1242	124	39	issn	issn	NOUN
cana-1242	124	40	:	:	PUNCT
cana-1242	124	41	1074	1074	NUM
cana-1242	124	42	-	-	PUNCT
cana-1242	124	43	133x	133x	NUM
cana-1242	124	44	vol	vol	NOUN
cana-1242	124	45	31	31	NUM
cana-1242	124	46	no	no	NOUN
cana-1242	124	47	.	.	PUNCT
cana-1242	125	1	6s	6s	NUM
cana-1242	125	2	(	(	PUNCT
cana-1242	125	3	2024	2024	NUM
cana-1242	125	4	)	)	PUNCT
cana-1242	125	5	543	543	NUM
cana-1242	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	125	7	example	example	NOUN
cana-1242	125	8	:	:	PUNCT
cana-1242	125	9	lets	lets	AUX
cana-1242	125	10	have	have	VERB
cana-1242	125	11	the	the	DET
cana-1242	125	12	split	split	ADJ
cana-1242	125	13	operator	operator	NOUN
cana-1242	125	14	with	with	ADP
cana-1242	125	15	two	two	NUM
cana-1242	125	16	partitions	partition	NOUN
cana-1242	125	17	(	(	PUNCT
cana-1242	125	18	0.7	0.7	NUM
cana-1242	125	19	,	,	PUNCT
cana-1242	125	20	0.3	0.3	NUM
cana-1242	125	21	)	)	PUNCT
cana-1242	125	22	,	,	PUNCT
cana-1242	125	23	total	total	ADJ
cana-1242	125	24	number	number	NOUN
cana-1242	125	25	of	of	ADP
cana-1242	125	26	samples	sample	NOUN
cana-1242	125	27	be	be	VERB
cana-1242	125	28	20	20	NUM
cana-1242	125	29	.	.	PUNCT
cana-1242	126	1	the	the	DET
cana-1242	126	2	samples	sample	NOUN
cana-1242	126	3	for	for	ADP
cana-1242	126	4	each	each	DET
cana-1242	126	5	partitions	partition	NOUN
cana-1242	126	6	are	be	AUX
cana-1242	126	7	:	:	PUNCT
cana-1242	126	8	partition	partition	NOUN
cana-1242	126	9	1	1	NUM
cana-1242	126	10	:	:	PUNCT
cana-1242	126	11	(	(	PUNCT
cana-1242	126	12	20/1	20/1	NUM
cana-1242	126	13	)	)	PUNCT
cana-1242	126	14	*	*	PUNCT
cana-1242	126	15	0.7	0.7	NUM
cana-1242	126	16	=	=	SYM
cana-1242	126	17	14	14	NUM
cana-1242	126	18	,	,	PUNCT
cana-1242	126	19	partition	partition	NOUN
cana-1242	126	20	2	2	NUM
cana-1242	126	21	:	:	PUNCT
cana-1242	126	22	(	(	PUNCT
cana-1242	126	23	20/1	20/1	NUM
cana-1242	126	24	)	)	PUNCT
cana-1242	126	25	*	*	PUNCT
cana-1242	126	26	0.3	0.3	NUM
cana-1242	126	27	=	=	SYM
cana-1242	126	28	6	6	NUM
cana-1242	126	29	4.3	4.3	NUM
cana-1242	126	30	fuzzy	fuzzy	ADJ
cana-1242	126	31	membership	membership	NOUN
cana-1242	126	32	partitioning	partition	VERB
cana-1242	126	33	in	in	ADP
cana-1242	126	34	fuzzy	fuzzy	ADJ
cana-1242	126	35	c	c	NOUN
cana-1242	126	36	-	-	PUNCT
cana-1242	126	37	means	means	NOUN
cana-1242	126	38	clustering	clustering	NOUN
cana-1242	126	39	,	,	PUNCT
cana-1242	126	40	membership	membership	NOUN
cana-1242	126	41	grades	grade	NOUN
cana-1242	126	42	are	be	AUX
cana-1242	126	43	given	give	VERB
cana-1242	126	44	to	to	ADP
cana-1242	126	45	each	each	DET
cana-1242	126	46	data	datum	NOUN
cana-1242	126	47	points	point	NOUN
cana-1242	126	48	that	that	PRON
cana-1242	126	49	indicate	indicate	VERB
cana-1242	126	50	the	the	DET
cana-1242	126	51	degree	degree	NOUN
cana-1242	126	52	of	of	ADP
cana-1242	126	53	partition	partition	NOUN
cana-1242	126	54	of	of	ADP
cana-1242	126	55	each	each	DET
cana-1242	126	56	data	datum	NOUN
cana-1242	126	57	belonging	belong	VERB
cana-1242	126	58	to	to	ADP
cana-1242	126	59	the	the	DET
cana-1242	126	60	particular	particular	ADJ
cana-1242	126	61	cluster	cluster	NOUN
cana-1242	126	62	.	.	PUNCT
cana-1242	127	1	the	the	DET
cana-1242	127	2	points	point	NOUN
cana-1242	127	3	on	on	ADP
cana-1242	127	4	the	the	DET
cana-1242	127	5	edge	edge	NOUN
cana-1242	127	6	of	of	ADP
cana-1242	127	7	a	a	DET
cana-1242	127	8	cluster	cluster	NOUN
cana-1242	127	9	have	have	VERB
cana-1242	127	10	less	less	ADJ
cana-1242	127	11	membership	membership	NOUN
cana-1242	127	12	than	than	ADP
cana-1242	127	13	points	point	NOUN
cana-1242	127	14	in	in	ADP
cana-1242	127	15	the	the	DET
cana-1242	127	16	center	center	NOUN
cana-1242	127	17	of	of	ADP
cana-1242	127	18	cluster	cluster	NOUN
cana-1242	127	19	.	.	PUNCT
cana-1242	128	1	the	the	DET
cana-1242	128	2	fuzzy	fuzzy	ADJ
cana-1242	128	3	clustering	clustering	ADJ
cana-1242	128	4	partition	partition	NOUN
cana-1242	128	5	a	a	DET
cana-1242	128	6	database	database	NOUN
cana-1242	128	7	,	,	PUNCT
cana-1242	128	8	let	let	VERB
cana-1242	128	9	(	(	PUNCT
cana-1242	128	10	e={e1	e={e1	NOUN
cana-1242	128	11	,	,	PUNCT
cana-1242	128	12	e2	e2	PROPN
cana-1242	128	13	,	,	PUNCT
cana-1242	128	14	...	...	PUNCT
cana-1242	128	15	,	,	PUNCT
cana-1242	128	16	en	en	ADP
cana-1242	128	17	}	}	PUNCT
cana-1242	128	18	)	)	PUNCT
cana-1242	128	19	into	into	ADP
cana-1242	128	20	a	a	DET
cana-1242	128	21	fuzzy	fuzzy	ADJ
cana-1242	128	22	clusters	cluster	NOUN
cana-1242	128	23	(	(	PUNCT
cana-1242	128	24	g={g1	g={g1	PROPN
cana-1242	128	25	,	,	PUNCT
cana-1242	128	26	g2	g2	PROPN
cana-1242	128	27	,	,	PUNCT
cana-1242	128	28	...	...	PUNCT
cana-1242	128	29	,	,	PUNCT
cana-1242	128	30	gn	gn	PROPN
cana-1242	128	31	}	}	PUNCT
cana-1242	128	32	)	)	PUNCT
cana-1242	128	33	and	and	CCONJ
cana-1242	128	34	a	a	DET
cana-1242	128	35	partition	partition	NOUN
cana-1242	128	36	matrix	matrix	NOUN
cana-1242	128	37	(	(	PUNCT
cana-1242	128	38	x	x	X
cana-1242	128	39	=	=	NOUN
cana-1242	128	40	xij[0,1	xij[0,1	NOUN
cana-1242	128	41	]	]	PUNCT
cana-1242	128	42	)	)	PUNCT
cana-1242	128	43	in	in	ADP
cana-1242	128	44	where	where	SCONJ
cana-1242	128	45	i	i	PRON
cana-1242	128	46	ranges	range	VERB
cana-1242	128	47	the	the	DET
cana-1242	128	48	number	number	NOUN
cana-1242	128	49	of	of	ADP
cana-1242	128	50	instances	instance	NOUN
cana-1242	128	51	and	and	CCONJ
cana-1242	128	52	j	j	PROPN
cana-1242	128	53	ranges	range	VERB
cana-1242	128	54	the	the	DET
cana-1242	128	55	number	number	NOUN
cana-1242	128	56	of	of	ADP
cana-1242	128	57	clusters	cluster	NOUN
cana-1242	128	58	.	.	PUNCT
cana-1242	129	1	this	this	DET
cana-1242	129	2	matrix	matrix	NOUN
cana-1242	129	3	gives	give	VERB
cana-1242	129	4	the	the	DET
cana-1242	129	5	information	information	NOUN
cana-1242	129	6	about	about	ADP
cana-1242	129	7	the	the	DET
cana-1242	129	8	data	datum	NOUN
cana-1242	129	9	ei	ei	NOUN
cana-1242	129	10	belongs	belong	VERB
cana-1242	129	11	to	to	PART
cana-1242	129	12	which	which	PRON
cana-1242	129	13	cluster	cluster	NOUN
cana-1242	129	14	gj	gj	PROPN
cana-1242	129	15	.	.	PROPN
cana-1242	129	16	manhattan	manhattan	PROPN
cana-1242	129	17	distance	distance	NOUN
cana-1242	129	18	is	be	AUX
cana-1242	129	19	used	use	VERB
cana-1242	129	20	for	for	ADP
cana-1242	129	21	clustering	clustering	NOUN
cana-1242	129	22	.	.	PUNCT
cana-1242	130	1	xij	xij	PRON
cana-1242	130	2	is	be	AUX
cana-1242	130	3	defined	define	VERB
cana-1242	130	4	with	with	ADP
cana-1242	130	5	the	the	DET
cana-1242	130	6	hyper	hyper	ADJ
cana-1242	130	7	parameter	parameter	NOUN
cana-1242	130	8	m	m	PROPN
cana-1242	130	9	that	that	PRON
cana-1242	130	10	controls	control	VERB
cana-1242	130	11	the	the	DET
cana-1242	130	12	fuzziness	fuzziness	NOUN
cana-1242	130	13	by	by	ADP
cana-1242	130	14	,	,	PUNCT
cana-1242	130	15	xij	xij	PROPN
cana-1242	130	16	=	=	NOUN
cana-1242	130	17	1	1	NUM
cana-1242	130	18	∑	∑	PUNCT
cana-1242	130	19	(	(	PUNCT
cana-1242	130	20	‖ei−gj‖	‖ei−gj‖	INTJ
cana-1242	130	21	‖ei−gk‖	‖ei−gk‖	NOUN
cana-1242	130	22	)	)	PUNCT
cana-1242	131	1	2	2	NUM
cana-1242	131	2	m−1	m−1	PROPN
cana-1242	131	3	g	g	X
cana-1242	131	4	k=1	k=1	X
cana-1242	131	5	(	(	PUNCT
cana-1242	131	6	7	7	X
cana-1242	131	7	)	)	PUNCT
cana-1242	131	8	manhattan	manhattan	NOUN
cana-1242	131	9	distance	distance	NOUN
cana-1242	132	1	=	=	PUNCT
cana-1242	132	2	∑	∑	PROPN
cana-1242	132	3	|pi	|pi	NUM
cana-1242	132	4	−	−	PROPN
cana-1242	132	5	qi	qi	PROPN
cana-1242	132	6	n	n	NOUN
cana-1242	132	7	i=1	i=1	PROPN
cana-1242	132	8	|	|	ADV
cana-1242	132	9	(	(	PUNCT
cana-1242	132	10	8)	8)	NUM
cana-1242	132	11	where	where	SCONJ
cana-1242	132	12	,	,	PUNCT
cana-1242	132	13	pi	pi	PROPN
cana-1242	132	14	,	,	PUNCT
cana-1242	132	15	qi	qi	PROPN
cana-1242	132	16	are	be	AUX
cana-1242	132	17	the	the	DET
cana-1242	132	18	two	two	NUM
cana-1242	132	19	points	point	NOUN
cana-1242	132	20	in	in	ADP
cana-1242	132	21	the	the	DET
cana-1242	132	22	dataset	dataset	NOUN
cana-1242	132	23	.	.	PUNCT
cana-1242	133	1	4.4	4.4	NUM
cana-1242	133	2	complete	complete	ADJ
cana-1242	133	3	linkage	linkage	NOUN
cana-1242	133	4	criteria	criterion	NOUN
cana-1242	133	5	in	in	ADP
cana-1242	133	6	hac	hac	PROPN
cana-1242	133	7	,	,	PUNCT
cana-1242	133	8	flat	flat	ADJ
cana-1242	133	9	clustering	clustering	NOUN
cana-1242	133	10	at	at	ADP
cana-1242	133	11	beginning	beginning	NOUN
cana-1242	133	12	,	,	PUNCT
cana-1242	133	13	each	each	DET
cana-1242	133	14	element	element	NOUN
cana-1242	133	15	is	be	AUX
cana-1242	133	16	in	in	ADP
cana-1242	133	17	its	its	PRON
cana-1242	133	18	own	own	ADJ
cana-1242	133	19	cluster	cluster	NOUN
cana-1242	133	20	and	and	CCONJ
cana-1242	133	21	then	then	ADV
cana-1242	133	22	it	it	PRON
cana-1242	133	23	is	be	AUX
cana-1242	133	24	sequentially	sequentially	ADV
cana-1242	133	25	combined	combine	VERB
cana-1242	133	26	into	into	ADP
cana-1242	133	27	larger	large	ADJ
cana-1242	133	28	one	one	NUM
cana-1242	133	29	til	til	NOUN
cana-1242	133	30	all	all	DET
cana-1242	133	31	element	element	NOUN
cana-1242	133	32	sends	send	VERB
cana-1242	133	33	in	in	ADP
cana-1242	133	34	same	same	ADJ
cana-1242	133	35	cluster	cluster	NOUN
cana-1242	133	36	,	,	PUNCT
cana-1242	133	37	it	it	PRON
cana-1242	133	38	is	be	AUX
cana-1242	133	39	also	also	ADV
cana-1242	133	40	known	know	VERB
cana-1242	133	41	as	as	ADP
cana-1242	133	42	farthest	farth	ADJ
cana-1242	133	43	neighbor	neighbor	NOUN
cana-1242	133	44	clustering	clustering	NOUN
cana-1242	133	45	.	.	PUNCT
cana-1242	134	1	in	in	ADP
cana-1242	134	2	sequence	sequence	NOUN
cana-1242	134	3	steps	step	NOUN
cana-1242	134	4	,	,	PUNCT
cana-1242	134	5	the	the	DET
cana-1242	134	6	two	two	NUM
cana-1242	134	7	clusters	cluster	NOUN
cana-1242	134	8	disjoint	disjoint	VERB
cana-1242	134	9	by	by	ADP
cana-1242	134	10	the	the	DET
cana-1242	134	11	shortest	short	ADJ
cana-1242	134	12	distance	distance	NOUN
cana-1242	134	13	are	be	AUX
cana-1242	134	14	combined	combine	VERB
cana-1242	134	15	.	.	PUNCT
cana-1242	135	1	in	in	ADP
cana-1242	135	2	complete	complete	ADJ
cana-1242	135	3	-	-	PUNCT
cana-1242	135	4	linkage	linkage	NOUN
cana-1242	135	5	as	as	ADP
cana-1242	135	6	per	per	ADP
cana-1242	135	7	eq	eq	NOUN
cana-1242	135	8	.	.	PUNCT
cana-1242	136	1	(	(	PUNCT
cana-1242	136	2	2	2	X
cana-1242	136	3	)	)	PUNCT
cana-1242	136	4	the	the	DET
cana-1242	136	5	interspace	interspace	NOUN
cana-1242	136	6	between	between	ADP
cana-1242	136	7	clusters	cluster	NOUN
cana-1242	136	8	is	be	AUX
cana-1242	136	9	equivalent	equivalent	ADJ
cana-1242	136	10	to	to	ADP
cana-1242	136	11	the	the	DET
cana-1242	136	12	distance	distance	NOUN
cana-1242	136	13	between	between	ADP
cana-1242	136	14	the	the	DET
cana-1242	136	15	two	two	NUM
cana-1242	136	16	objects	object	NOUN
cana-1242	136	17	s	s	VERB
cana-1242	136	18	i.e	i.e	PRON
cana-1242	136	19	one	one	NUM
cana-1242	136	20	from	from	ADP
cana-1242	136	21	each	each	DET
cana-1242	136	22	cluster	cluster	NOUN
cana-1242	136	23	which	which	PRON
cana-1242	136	24	are	be	AUX
cana-1242	136	25	farthest	farth	ADJ
cana-1242	136	26	.	.	PUNCT
cana-1242	137	1	the	the	DET
cana-1242	137	2	minimal	minimal	ADJ
cana-1242	137	3	length	length	NOUN
cana-1242	137	4	of	of	ADP
cana-1242	137	5	these	these	PRON
cana-1242	137	6	at	at	ADP
cana-1242	137	7	each	each	DET
cana-1242	137	8	step	step	NOUN
cana-1242	137	9	combines	combine	VERB
cana-1242	137	10	the	the	DET
cana-1242	137	11	two	two	NUM
cana-1242	137	12	clusters	cluster	NOUN
cana-1242	137	13	.	.	PUNCT
cana-1242	138	1	the	the	DET
cana-1242	138	2	method	method	NOUN
cana-1242	138	3	starts	start	VERB
cana-1242	138	4	by	by	ADP
cana-1242	138	5	combining	combine	VERB
cana-1242	138	6	rows	row	NOUN
cana-1242	138	7	and	and	CCONJ
cana-1242	138	8	with	with	SCONJ
cana-1242	138	9	the	the	DET
cana-1242	138	10	old	old	ADJ
cana-1242	138	11	clusters	cluster	NOUN
cana-1242	138	12	are	be	AUX
cana-1242	138	13	merged	merge	VERB
cana-1242	138	14	with	with	ADP
cana-1242	138	15	new	new	ADJ
cana-1242	138	16	ones	one	NOUN
cana-1242	138	17	.	.	PUNCT
cana-1242	139	1	this	this	DET
cana-1242	139	2	matrix	matrix	NOUN
cana-1242	139	3	contains	contain	VERB
cana-1242	139	4	all	all	DET
cana-1242	139	5	distances	distance	NOUN
cana-1242	139	6	between	between	ADP
cana-1242	139	7	the	the	DET
cana-1242	139	8	data	data	NOUN
cana-1242	139	9	elements	element	NOUN
cana-1242	139	10	.	.	PUNCT
cana-1242	140	1	the	the	DET
cana-1242	140	2	clustering	clustering	NOUN
cana-1242	140	3	are	be	AUX
cana-1242	140	4	numbered	number	VERB
cana-1242	140	5	in	in	ADP
cana-1242	140	6	sequence	sequence	NOUN
cana-1242	140	7	(	(	PUNCT
cana-1242	140	8	m	m	NOUN
cana-1242	140	9	)	)	PUNCT
cana-1242	140	10	starts	start	VERB
cana-1242	140	11	from	from	ADP
cana-1242	140	12	0,1	0,1	NUM
cana-1242	140	13	,	,	PUNCT
cana-1242	140	14	......	......	PUNCT
cana-1242	140	15	,	,	PUNCT
cana-1242	140	16	to	to	ADP
cana-1242	140	17	(	(	PUNCT
cana-1242	140	18	n	n	CCONJ
cana-1242	140	19	−	−	PROPN
cana-1242	140	20	1	1	NUM
cana-1242	140	21	)	)	PUNCT
cana-1242	140	22	and	and	CCONJ
cana-1242	140	23	v(k	v(k	NOUN
cana-1242	140	24	)	)	PUNCT
cana-1242	140	25	is	be	AUX
cana-1242	140	26	the	the	DET
cana-1242	140	27	level	level	NOUN
cana-1242	140	28	of	of	ADP
cana-1242	140	29	the	the	DET
cana-1242	140	30	kth	kth	NOUN
cana-1242	140	31	clustering	cluster	VERB
cana-1242	140	32	with	with	ADP
cana-1242	140	33	n	n	ADP
cana-1242	140	34	elements	element	NOUN
cana-1242	140	35	.	.	PUNCT
cana-1242	141	1	the	the	DET
cana-1242	141	2	proximity	proximity	NOUN
cana-1242	141	3	between	between	ADP
cana-1242	141	4	the	the	DET
cana-1242	141	5	clusters	cluster	NOUN
cana-1242	141	6	{	{	PUNCT
cana-1242	141	7	(	(	PUNCT
cana-1242	141	8	c	c	NOUN
cana-1242	141	9	)	)	PUNCT
cana-1242	141	10	,	,	PUNCT
cana-1242	141	11	(	(	PUNCT
cana-1242	141	12	s	s	X
cana-1242	141	13	)	)	PUNCT
cana-1242	141	14	}	}	PUNCT
cana-1242	141	15	is	be	AUX
cana-1242	141	16	denoted	denote	VERB
cana-1242	141	17	d	d	PROPN
cana-1242	141	18	[	[	X
cana-1242	141	19	(	(	PUNCT
cana-1242	141	20	c),(s	c),(s	PROPN
cana-1242	141	21	)	)	PUNCT
cana-1242	141	22	]	]	PUNCT
cana-1242	141	23	.	.	PUNCT
cana-1242	142	1	working	work	VERB
cana-1242	142	2	principle	principle	NOUN
cana-1242	142	3	▪	▪	ADJ
cana-1242	142	4	starts	start	VERB
cana-1242	142	5	with	with	ADP
cana-1242	142	6	the	the	DET
cana-1242	142	7	disorganized	disorganized	ADJ
cana-1242	142	8	cluster	cluster	NOUN
cana-1242	142	9	with	with	ADP
cana-1242	142	10	level	level	NOUN
cana-1242	142	11	v(0	v(0	PROPN
cana-1242	142	12	)	)	PUNCT
cana-1242	142	13	,	,	PUNCT
cana-1242	142	14	sequence	sequence	NOUN
cana-1242	142	15	no	no	INTJ
cana-1242	142	16	.	.	PUNCT
cana-1242	143	1	m=0	m=0	PROPN
cana-1242	143	2	.	.	PUNCT
cana-1242	143	3	▪	▪	X
cana-1242	143	4	retrieve	retrieve	VERB
cana-1242	143	5	the	the	DET
cana-1242	143	6	most	most	ADV
cana-1242	143	7	unique	unique	ADJ
cana-1242	143	8	pair	pair	NOUN
cana-1242	143	9	in	in	ADP
cana-1242	143	10	the	the	DET
cana-1242	143	11	recent	recent	ADJ
cana-1242	143	12	clustering	clustering	NOUN
cana-1242	143	13	provided	provide	VERB
cana-1242	143	14	that	that	DET
cana-1242	143	15	pair	pair	NOUN
cana-1242	143	16	(	(	PUNCT
cana-1242	143	17	c	c	NOUN
cana-1242	143	18	)	)	PUNCT
cana-1242	143	19	,	,	PUNCT
cana-1242	143	20	(	(	PUNCT
cana-1242	143	21	s	s	X
cana-1242	143	22	)	)	PUNCT
cana-1242	143	23	is	be	AUX
cana-1242	143	24	the	the	DET
cana-1242	143	25	minimum	minimum	NOUN
cana-1242	143	26	over	over	ADP
cana-1242	143	27	all	all	DET
cana-1242	143	28	pairs	pair	NOUN
cana-1242	143	29	of	of	ADP
cana-1242	143	30	clusters	cluster	NOUN
cana-1242	143	31	.	.	PUNCT
cana-1242	144	1	▪	▪	X
cana-1242	144	2	increase	increase	VERB
cana-1242	144	3	the	the	DET
cana-1242	144	4	sequence	sequence	NOUN
cana-1242	144	5	no	no	INTJ
cana-1242	144	6	.	.	PUNCT
cana-1242	145	1	by	by	ADP
cana-1242	145	2	one	one	NUM
cana-1242	145	3	.	.	PUNCT
cana-1242	146	1	merge	merge	VERB
cana-1242	146	2	(	(	PUNCT
cana-1242	146	3	c	c	NOUN
cana-1242	146	4	)	)	PUNCT
cana-1242	146	5	,	,	PUNCT
cana-1242	146	6	(	(	PUNCT
cana-1242	146	7	s	s	X
cana-1242	146	8	)	)	PUNCT
cana-1242	146	9	into	into	ADP
cana-1242	146	10	a	a	DET
cana-1242	146	11	single	single	ADJ
cana-1242	146	12	one	one	NOUN
cana-1242	146	13	and	and	CCONJ
cana-1242	146	14	fix	fix	VERB
cana-1242	146	15	the	the	DET
cana-1242	146	16	level	level	NOUN
cana-1242	146	17	of	of	ADP
cana-1242	146	18	this	this	DET
cana-1242	146	19	clustering	cluster	VERB
cana-1242	146	20	to	to	ADP
cana-1242	146	21	v(m)=d{(c	v(m)=d{(c	NOUN
cana-1242	146	22	)	)	PUNCT
cana-1242	146	23	,	,	PUNCT
cana-1242	146	24	(	(	PUNCT
cana-1242	146	25	s	s	NOUN
cana-1242	146	26	)	)	PUNCT
cana-1242	146	27	.	.	PUNCT
cana-1242	147	1	▪	▪	X
cana-1242	147	2	revise	revise	VERB
cana-1242	147	3	the	the	DET
cana-1242	147	4	proximity	proximity	NOUN
cana-1242	147	5	matrix	matrix	NOUN
cana-1242	147	6	with	with	ADP
cana-1242	147	7	the	the	DET
cana-1242	147	8	deletion	deletion	NOUN
cana-1242	147	9	of	of	ADP
cana-1242	147	10	the	the	DET
cana-1242	147	11	rows	row	NOUN
cana-1242	147	12	and	and	CCONJ
cana-1242	147	13	columns	column	NOUN
cana-1242	147	14	corresponding	correspond	VERB
cana-1242	147	15	to	to	ADP
cana-1242	147	16	clusters	cluster	NOUN
cana-1242	147	17	(	(	PUNCT
cana-1242	147	18	c	c	NOUN
cana-1242	147	19	)	)	PUNCT
cana-1242	147	20	and	and	CCONJ
cana-1242	147	21	(	(	PUNCT
cana-1242	147	22	s	s	X
cana-1242	147	23	)	)	PUNCT
cana-1242	147	24	and	and	CCONJ
cana-1242	147	25	adds	add	VERB
cana-1242	147	26	new	new	ADJ
cana-1242	147	27	row	row	NOUN
cana-1242	147	28	and	and	CCONJ
cana-1242	147	29	column	column	NOUN
cana-1242	147	30	.	.	PUNCT
cana-1242	148	1	the	the	DET
cana-1242	148	2	proximity	proximity	NOUN
cana-1242	148	3	between	between	ADP
cana-1242	148	4	(	(	PUNCT
cana-1242	148	5	c	c	X
cana-1242	148	6	,	,	PUNCT
cana-1242	148	7	s	s	NOUN
cana-1242	148	8	)	)	PUNCT
cana-1242	148	9	,	,	PUNCT
cana-1242	148	10	and	and	CCONJ
cana-1242	148	11	an	an	DET
cana-1242	148	12	old	old	ADJ
cana-1242	148	13	cluster	cluster	NOUN
cana-1242	148	14	(	(	PUNCT
cana-1242	148	15	k	k	NOUN
cana-1242	148	16	)	)	PUNCT
cana-1242	148	17	is	be	AUX
cana-1242	148	18	defined	define	VERB
cana-1242	148	19	as	as	ADP
cana-1242	148	20	d[(c	d[(c	ADJ
cana-1242	148	21	,	,	PUNCT
cana-1242	148	22	s	s	PART
cana-1242	148	23	)	)	PUNCT
cana-1242	148	24	,	,	PUNCT
cana-1242	148	25	(	(	PUNCT
cana-1242	148	26	k	k	NOUN
cana-1242	148	27	)	)	PUNCT
cana-1242	148	28	]	]	PUNCT
cana-1242	149	1	=	=	SYM
cana-1242	149	2	max	max	PROPN
cana-1242	149	3	{	{	PUNCT
cana-1242	149	4	d[(k	d[(k	NOUN
cana-1242	149	5	)	)	PUNCT
cana-1242	149	6	,	,	PUNCT
cana-1242	149	7	(	(	PUNCT
cana-1242	149	8	c	c	NOUN
cana-1242	149	9	)	)	PUNCT
cana-1242	149	10	]	]	PUNCT
cana-1242	149	11	,	,	PUNCT
cana-1242	149	12	d[(k	d[(k	NOUN
cana-1242	149	13	)	)	PUNCT
cana-1242	149	14	,	,	PUNCT
cana-1242	149	15	(	(	PUNCT
cana-1242	149	16	s	s	NOUN
cana-1242	149	17	)	)	PUNCT
cana-1242	149	18	]	]	PUNCT
cana-1242	149	19	}	}	PUNCT
cana-1242	149	20	.	.	PUNCT
cana-1242	150	1	▪	▪	ADJ
cana-1242	150	2	check	check	VERB
cana-1242	150	3	if	if	SCONJ
cana-1242	150	4	the	the	DET
cana-1242	150	5	entire	entire	ADJ
cana-1242	150	6	objects	object	NOUN
cana-1242	150	7	are	be	AUX
cana-1242	150	8	in	in	ADP
cana-1242	150	9	single	single	ADJ
cana-1242	150	10	cluster	cluster	NOUN
cana-1242	150	11	,	,	PUNCT
cana-1242	150	12	then	then	ADV
cana-1242	150	13	halt	halt	AUX
cana-1242	150	14	otherwise	otherwise	ADV
cana-1242	150	15	continue	continue	VERB
cana-1242	150	16	with	with	ADP
cana-1242	150	17	the	the	DET
cana-1242	150	18	second	second	ADJ
cana-1242	150	19	step	step	NOUN
cana-1242	150	20	.	.	PUNCT
cana-1242	151	1	communications	communication	NOUN
cana-1242	151	2	on	on	ADP
cana-1242	151	3	applied	apply	VERB
cana-1242	151	4	nonlinear	nonlinear	ADJ
cana-1242	151	5	analysis	analysis	NOUN
cana-1242	151	6	issn	issn	NOUN
cana-1242	151	7	:	:	PUNCT
cana-1242	151	8	1074	1074	NUM
cana-1242	151	9	-	-	PUNCT
cana-1242	151	10	133x	133x	NUM
cana-1242	151	11	vol	vol	NOUN
cana-1242	151	12	31	31	NUM
cana-1242	151	13	no	no	NOUN
cana-1242	151	14	.	.	PUNCT
cana-1242	152	1	6s	6s	NUM
cana-1242	152	2	(	(	PUNCT
cana-1242	152	3	2024	2024	NUM
cana-1242	152	4	)	)	PUNCT
cana-1242	152	5	544	544	NUM
cana-1242	152	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	152	7	let	let	VERB
cana-1242	152	8	explain	explain	VERB
cana-1242	152	9	with	with	ADP
cana-1242	152	10	the	the	DET
cana-1242	152	11	following	following	ADJ
cana-1242	152	12	example	example	NOUN
cana-1242	152	13	that	that	PRON
cana-1242	152	14	has	have	VERB
cana-1242	152	15	five	five	NUM
cana-1242	152	16	points	point	NOUN
cana-1242	152	17	(	(	PUNCT
cana-1242	152	18	p1	p1	NOUN
cana-1242	152	19	,	,	PUNCT
cana-1242	152	20	p2	p2	NOUN
cana-1242	152	21	,	,	PUNCT
cana-1242	152	22	p3	p3	NOUN
cana-1242	152	23	,	,	PUNCT
cana-1242	152	24	p4	p4	ADJ
cana-1242	152	25	,	,	PUNCT
cana-1242	152	26	p5	p5	ADJ
cana-1242	152	27	)	)	PUNCT
cana-1242	152	28	.	.	PUNCT
cana-1242	153	1	the	the	DET
cana-1242	153	2	table	table	NOUN
cana-1242	153	3	2(a	2(a	NUM
cana-1242	153	4	)	)	PUNCT
cana-1242	153	5	,	,	PUNCT
cana-1242	153	6	represents	represent	VERB
cana-1242	153	7	the	the	DET
cana-1242	153	8	matrix	matrix	NOUN
cana-1242	153	9	of	of	ADP
cana-1242	153	10	t1	t1	PROPN
cana-1242	153	11	distances	distance	NOUN
cana-1242	153	12	where	where	SCONJ
cana-1242	153	13	the	the	DET
cana-1242	153	14	t1(p1	t1(p1	NOUN
cana-1242	153	15	,	,	PUNCT
cana-1242	153	16	p2	p2	PROPN
cana-1242	153	17	)	)	PUNCT
cana-1242	153	18	is	be	AUX
cana-1242	153	19	the	the	DET
cana-1242	153	20	smallest	small	ADJ
cana-1242	153	21	of	of	ADP
cana-1242	153	22	t1	t1	NOUN
cana-1242	153	23	hence	hence	ADV
cana-1242	153	24	first	first	ADV
cana-1242	153	25	join	join	VERB
cana-1242	153	26	p1and	p1and	NUM
cana-1242	153	27	p2	p2	NOUN
cana-1242	153	28	.	.	PUNCT
cana-1242	153	29	table	table	NOUN
cana-1242	153	30	2	2	NUM
cana-1242	153	31	(	(	PUNCT
cana-1242	153	32	a	a	NOUN
cana-1242	153	33	)	)	PUNCT
cana-1242	153	34	first	first	ADJ
cana-1242	153	35	pairwise	pairwise	NOUN
cana-1242	153	36	distance	distance	NOUN
cana-1242	153	37	p1	p1	NOUN
cana-1242	153	38	p2	p2	PROPN
cana-1242	153	39	p3	p3	PROPN
cana-1242	153	40	p4	p4	ADJ
cana-1242	153	41	p5	p5	ADJ
cana-1242	153	42	p1	p1	NOUN
cana-1242	153	43	0	0	NUM
cana-1242	153	44	16	16	NUM
cana-1242	153	45	20	20	NUM
cana-1242	153	46	30	30	NUM
cana-1242	153	47	22	22	NUM
cana-1242	153	48	p2	p2	NOUN
cana-1242	153	49	16	16	NUM
cana-1242	153	50	0	0	NUM
cana-1242	153	51	29	29	NUM
cana-1242	153	52	33	33	NUM
cana-1242	153	53	20	20	NUM
cana-1242	153	54	p3	p3	NOUN
cana-1242	153	55	20	20	NUM
cana-1242	154	1	29	29	NUM
cana-1242	154	2	0	0	NUM
cana-1242	154	3	27	27	NUM
cana-1242	154	4	38	38	NUM
cana-1242	154	5	p4	p4	ADJ
cana-1242	154	6	30	30	NUM
cana-1242	154	7	33	33	NUM
cana-1242	154	8	27	27	NUM
cana-1242	154	9	0	0	NUM
cana-1242	154	10	42	42	NUM
cana-1242	154	11	p5	p5	ADJ
cana-1242	154	12	22	22	NUM
cana-1242	154	13	20	20	NUM
cana-1242	154	14	38	38	NUM
cana-1242	154	15	42	42	NUM
cana-1242	154	16	0	0	NUM
cana-1242	154	17	table	table	NOUN
cana-1242	154	18	2	2	NUM
cana-1242	154	19	(	(	PUNCT
cana-1242	154	20	b	b	NOUN
cana-1242	154	21	)	)	PUNCT
cana-1242	154	22	second	second	ADJ
cana-1242	154	23	pairwise	pairwise	NOUN
cana-1242	154	24	distance	distance	NOUN
cana-1242	154	25	(	(	PUNCT
cana-1242	154	26	p1	p1	NOUN
cana-1242	154	27	,	,	PUNCT
cana-1242	154	28	p2	p2	PROPN
cana-1242	154	29	)	)	PUNCT
cana-1242	154	30	p3	p3	NOUN
cana-1242	154	31	p4	p4	ADJ
cana-1242	154	32	p5	p5	PROPN
cana-1242	154	33	(	(	PUNCT
cana-1242	154	34	p1	p1	NOUN
cana-1242	154	35	,	,	PUNCT
cana-1242	154	36	p2	p2	PROPN
cana-1242	154	37	)	)	PUNCT
cana-1242	154	38	0	0	NUM
cana-1242	154	39	29	29	NUM
cana-1242	154	40	33	33	NUM
cana-1242	154	41	22	22	NUM
cana-1242	154	42	p3	p3	NOUN
cana-1242	154	43	29	29	NUM
cana-1242	154	44	0	0	NUM
cana-1242	154	45	27	27	NUM
cana-1242	154	46	38	38	NUM
cana-1242	154	47	p4	p4	ADJ
cana-1242	154	48	33	33	NUM
cana-1242	154	49	27	27	NUM
cana-1242	154	50	0	0	NUM
cana-1242	154	51	42	42	NUM
cana-1242	154	52	p5	p5	ADJ
cana-1242	154	53	22	22	NUM
cana-1242	154	54	38	38	NUM
cana-1242	154	55	42	42	NUM
cana-1242	154	56	0	0	NUM
cana-1242	154	57	table	table	NOUN
cana-1242	154	58	2	2	NUM
cana-1242	154	59	(	(	PUNCT
cana-1242	154	60	c	c	NOUN
cana-1242	154	61	)	)	PUNCT
cana-1242	154	62	third	third	ADJ
cana-1242	154	63	pairwise	pairwise	NOUN
cana-1242	154	64	distance	distance	NOUN
cana-1242	154	65	(	(	PUNCT
cana-1242	154	66	(	(	PUNCT
cana-1242	154	67	p1	p1	NOUN
cana-1242	154	68	,	,	PUNCT
cana-1242	154	69	p2	p2	PROPN
cana-1242	154	70	)	)	PUNCT
cana-1242	154	71	,	,	PUNCT
cana-1242	154	72	p5	p5	ADJ
cana-1242	154	73	)	)	PUNCT
cana-1242	154	74	p3	p3	PROPN
cana-1242	154	75	p4	p4	ADJ
cana-1242	154	76	(	(	PUNCT
cana-1242	154	77	(	(	PUNCT
cana-1242	154	78	p1	p1	NOUN
cana-1242	154	79	p2	p2	NOUN
cana-1242	154	80	)	)	PUNCT
cana-1242	154	81	,	,	PUNCT
cana-1242	154	82	p5	p5	ADJ
cana-1242	154	83	)	)	PUNCT
cana-1242	154	84	0	0	NUM
cana-1242	154	85	38	38	NUM
cana-1242	154	86	42	42	NUM
cana-1242	154	87	p3	p3	NOUN
cana-1242	154	88	38	38	NUM
cana-1242	154	89	0	0	NUM
cana-1242	154	90	27	27	NUM
cana-1242	154	91	p4	p4	ADJ
cana-1242	154	92	42	42	NUM
cana-1242	154	93	27	27	NUM
cana-1242	154	94	0	0	NUM
cana-1242	154	95	table	table	NOUN
cana-1242	154	96	2	2	NUM
cana-1242	154	97	(	(	PUNCT
cana-1242	154	98	d	d	NOUN
cana-1242	154	99	)	)	PUNCT
cana-1242	154	100	fourth	fourth	ADJ
cana-1242	154	101	pairwise	pairwise	NOUN
cana-1242	154	102	distance	distance	NOUN
cana-1242	154	103	(	(	PUNCT
cana-1242	154	104	(	(	PUNCT
cana-1242	154	105	p1	p1	NOUN
cana-1242	154	106	,	,	PUNCT
cana-1242	154	107	p2	p2	PROPN
cana-1242	154	108	)	)	PUNCT
cana-1242	154	109	,	,	PUNCT
cana-1242	154	110	p5	p5	ADJ
cana-1242	154	111	)	)	PUNCT
cana-1242	154	112	(	(	PUNCT
cana-1242	154	113	p3	p3	PROPN
cana-1242	154	114	,	,	PUNCT
cana-1242	154	115	p4	p4	ADJ
cana-1242	154	116	)	)	PUNCT
cana-1242	154	117	(	(	PUNCT
cana-1242	154	118	(	(	PUNCT
cana-1242	154	119	p1	p1	NOUN
cana-1242	154	120	,	,	PUNCT
cana-1242	154	121	p2	p2	PROPN
cana-1242	154	122	)	)	PUNCT
cana-1242	154	123	,	,	PUNCT
cana-1242	154	124	p5	p5	ADJ
cana-1242	154	125	)	)	PUNCT
cana-1242	154	126	0	0	NUM
cana-1242	154	127	42	42	NUM
cana-1242	154	128	(	(	PUNCT
cana-1242	154	129	c	c	PROPN
cana-1242	154	130	p3	p3	PROPN
cana-1242	154	131	,	,	PUNCT
cana-1242	154	132	p4	p4	ADJ
cana-1242	154	133	42	42	NUM
cana-1242	154	134	0	0	NUM
cana-1242	154	135	first	first	ADJ
cana-1242	154	136	branch	branch	NOUN
cana-1242	154	137	length	length	NOUN
cana-1242	154	138	–	–	PUNCT
cana-1242	154	139	in	in	ADP
cana-1242	154	140	table	table	NOUN
cana-1242	154	141	2(a	2(a	NUM
cana-1242	154	142	)	)	PUNCT
cana-1242	154	143	first	first	ADV
cana-1242	154	144	clustering	clustering	NOUN
cana-1242	154	145	,	,	PUNCT
cana-1242	154	146	to	to	PART
cana-1242	154	147	ensure	ensure	VERB
cana-1242	154	148	the	the	DET
cana-1242	154	149	equidistant	equidistant	NOUN
cana-1242	154	150	of	of	ADP
cana-1242	154	151	the	the	DET
cana-1242	154	152	points	point	NOUN
cana-1242	154	153	p1	p1	NOUN
cana-1242	154	154	and	and	CCONJ
cana-1242	154	155	p2	p2	PROPN
cana-1242	154	156	from	from	ADP
cana-1242	154	157	u(node	u(node	PROPN
cana-1242	154	158	)	)	PUNCT
cana-1242	154	159	,	,	PUNCT
cana-1242	154	160	set	set	VERB
cana-1242	154	161	(p1	(p1	NOUN
cana-1242	154	162	,	,	PUNCT
cana-1242	154	163	u	u	NOUN
cana-1242	154	164	)	)	PUNCT
cana-1242	154	165	=	=	SYM
cana-1242	154	166	(p2	(p2	NOUN
cana-1242	154	167	,	,	PUNCT
cana-1242	154	168	u	u	NOUN
cana-1242	154	169	)	)	PUNCT
cana-1242	154	170	=	=	SYM
cana-1242	154	171	t1(p1	t1(p1	NOUN
cana-1242	154	172	,	,	PUNCT
cana-1242	154	173	p2)/2	p2)/2	NOUN
cana-1242	154	174	and	and	CCONJ
cana-1242	154	175	the	the	DET
cana-1242	154	176	value	value	NOUN
cana-1242	154	177	is	be	AUX
cana-1242	154	178	16/2	16/2	NUM
cana-1242	154	179	=	=	SYM
cana-1242	154	180	8	8	NUM
cana-1242	154	181	.	.	PUNCT
cana-1242	154	182	now	now	ADV
cana-1242	154	183	reduce	reduce	VERB
cana-1242	154	184	the	the	DET
cana-1242	154	185	size	size	NOUN
cana-1242	154	186	of	of	ADP
cana-1242	154	187	the	the	DET
cana-1242	154	188	matrix	matrix	NOUN
cana-1242	154	189	by	by	ADP
cana-1242	154	190	one	one	NUM
cana-1242	154	191	row	row	NOUN
cana-1242	154	192	,	,	PUNCT
cana-1242	154	193	column	column	NOUN
cana-1242	154	194	each	each	PRON
cana-1242	154	195	as	as	ADP
cana-1242	154	196	the	the	DET
cana-1242	154	197	clustering	clustering	NOUN
cana-1242	154	198	of	of	ADP
cana-1242	154	199	p1	p1	NOUN
cana-1242	154	200	and	and	CCONJ
cana-1242	154	201	p2	p2	PROPN
cana-1242	154	202	is	be	AUX
cana-1242	154	203	done	do	VERB
cana-1242	154	204	.	.	PUNCT
cana-1242	155	1	the	the	DET
cana-1242	155	2	remaining	remain	VERB
cana-1242	155	3	points	point	NOUN
cana-1242	155	4	are	be	AUX
cana-1242	155	5	calculated	calculate	VERB
cana-1242	155	6	in	in	ADP
cana-1242	155	7	first	first	ADJ
cana-1242	155	8	clustering	clustering	NOUN
cana-1242	155	9	for	for	ADP
cana-1242	155	10	new	new	ADJ
cana-1242	155	11	matrix	matrix	NOUN
cana-1242	155	12	t2	t2	NOUN
cana-1242	155	13	.	.	PUNCT
cana-1242	156	1	first	first	ADJ
cana-1242	156	2	distance	distance	NOUN
cana-1242	156	3	matrix	matrix	NOUN
cana-1242	156	4	t2	t2	NOUN
cana-1242	156	5	(	(	PUNCT
cana-1242	156	6	(	(	PUNCT
cana-1242	156	7	p1	p1	NOUN
cana-1242	156	8	,	,	PUNCT
cana-1242	156	9	p2),c)=	p2),c)=	PROPN
cana-1242	156	10	max(t1(p1	max(t1(p1	PROPN
cana-1242	156	11	,	,	PUNCT
cana-1242	156	12	c	c	NOUN
cana-1242	156	13	)	)	PUNCT
cana-1242	156	14	,	,	PUNCT
cana-1242	156	15	t1(p2	t1(p2	ADV
cana-1242	156	16	,	,	PUNCT
cana-1242	156	17	c	c	NOUN
cana-1242	156	18	)	)	PUNCT
cana-1242	156	19	=	=	SYM
cana-1242	156	20	max(20	max(20	VERB
cana-1242	156	21	,	,	PUNCT
cana-1242	156	22	29	29	NUM
cana-1242	156	23	)	)	PUNCT
cana-1242	156	24	=	=	NOUN
cana-1242	156	25	29	29	NUM
cana-1242	156	26	;	;	PUNCT
cana-1242	156	27	t2	t2	NOUN
cana-1242	156	28	(	(	PUNCT
cana-1242	156	29	(	(	PUNCT
cana-1242	156	30	p1	p1	PROPN
cana-1242	156	31	,	,	PUNCT
cana-1242	156	32	p2),p4)=	p2),p4)=	PROPN
cana-1242	156	33	max(t1(p1	max(t1(p1	PROPN
cana-1242	156	34	,	,	PUNCT
cana-1242	156	35	p4	p4	ADJ
cana-1242	156	36	)	)	PUNCT
cana-1242	156	37	,	,	PUNCT
cana-1242	156	38	t1(p2	t1(p2	ADJ
cana-1242	156	39	,	,	PUNCT
cana-1242	156	40	p4	p4	ADJ
cana-1242	156	41	)	)	PUNCT
cana-1242	156	42	=	=	SYM
cana-1242	156	43	max(30	max(30	NOUN
cana-1242	156	44	,	,	PUNCT
cana-1242	156	45	33	33	NUM
cana-1242	156	46	)	)	PUNCT
cana-1242	156	47	=	=	SYM
cana-1242	156	48	33	33	NUM
cana-1242	156	49	;	;	PUNCT
cana-1242	156	50	t2	t2	PROPN
cana-1242	156	51	(	(	PUNCT
cana-1242	156	52	(	(	PUNCT
cana-1242	156	53	p1	p1	NOUN
cana-1242	156	54	,	,	PUNCT
cana-1242	156	55	p2),p5)=	p2),p5)=	PROPN
cana-1242	156	56	max(t1(p1	max(t1(p1	NOUN
cana-1242	156	57	,	,	PUNCT
cana-1242	156	58	p5	p5	PROPN
cana-1242	156	59	)	)	PUNCT
cana-1242	156	60	,	,	PUNCT
cana-1242	156	61	t1(p2	t1(p2	ADV
cana-1242	156	62	,	,	PUNCT
cana-1242	156	63	p5	p5	ADJ
cana-1242	156	64	)	)	PUNCT
cana-1242	156	65	=	=	SYM
cana-1242	157	1	max(22	max(22	PROPN
cana-1242	157	2	,	,	PUNCT
cana-1242	157	3	20	20	NUM
cana-1242	157	4	)	)	PUNCT
cana-1242	157	5	=	=	NOUN
cana-1242	157	6	22	22	NUM
cana-1242	157	7	second	second	ADJ
cana-1242	157	8	branch	branch	NOUN
cana-1242	157	9	length	length	NOUN
cana-1242	157	10	in	in	ADP
cana-1242	157	11	table	table	NOUN
cana-1242	157	12	2(b	2(b	NUM
cana-1242	157	13	)	)	PUNCT
cana-1242	157	14	second	second	ADJ
cana-1242	157	15	clustering	clustering	NOUN
cana-1242	157	16	,	,	PUNCT
cana-1242	157	17	let	let	VERB
cana-1242	157	18	v	v	PART
cana-1242	157	19	be	be	AUX
cana-1242	157	20	the	the	DET
cana-1242	157	21	node	node	NOUN
cana-1242	157	22	to	to	PART
cana-1242	157	23	which	which	PRON
cana-1242	157	24	the	the	DET
cana-1242	157	25	(	(	PUNCT
cana-1242	157	26	p1	p1	NOUN
cana-1242	157	27	,	,	PUNCT
cana-1242	157	28	p2	p2	PROPN
cana-1242	157	29	)	)	PUNCT
cana-1242	157	30	with	with	ADP
cana-1242	157	31	p4	p4	NOUN
cana-1242	157	32	are	be	AUX
cana-1242	157	33	connected	connect	VERB
cana-1242	157	34	.	.	PUNCT
cana-1242	158	1	the	the	DET
cana-1242	158	2	cumulative	cumulative	ADJ
cana-1242	158	3	length	length	NOUN
cana-1242	158	4	(p1	(p1	NOUN
cana-1242	158	5	,	,	PUNCT
cana-1242	158	6	v	v	NOUN
cana-1242	158	7	)	)	PUNCT
cana-1242	158	8	=	=	SYM
cana-1242	158	9	(p2	(p2	NOUN
cana-1242	158	10	,	,	PUNCT
cana-1242	158	11	v	v	NOUN
cana-1242	158	12	)	)	PUNCT
cana-1242	158	13	=	=	SYM
cana-1242	158	14	(p5	(p5	NOUN
cana-1242	158	15	,	,	PUNCT
cana-1242	158	16	v	v	NOUN
cana-1242	158	17	)	)	PUNCT
cana-1242	158	18	=	=	SYM
cana-1242	158	19	22	22	NUM
cana-1242	158	20	divided	divide	VERB
cana-1242	158	21	by	by	ADP
cana-1242	158	22	2	2	NUM
cana-1242	158	23	and	and	CCONJ
cana-1242	158	24	get	get	VERB
cana-1242	158	25	11	11	NUM
cana-1242	158	26	,	,	PUNCT
cana-1242	158	27	this	this	DET
cana-1242	158	28	value	value	NOUN
cana-1242	158	29	updated	update	VERB
cana-1242	158	30	for	for	ADP
cana-1242	158	31	deducing	deduce	VERB
cana-1242	158	32	the	the	DET
cana-1242	158	33	missing	miss	VERB
cana-1242	158	34	branch	branch	NOUN
cana-1242	158	35	length	length	NOUN
cana-1242	158	36	as	as	ADP
cana-1242	158	37	11.08.0(the	11.08.0(the	NUM
cana-1242	158	38	prior	prior	ADJ
cana-1242	158	39	value	value	NOUN
cana-1242	158	40	)	)	PUNCT
cana-1242	158	41	=3	=3	VERB
cana-1242	158	42	.	.	PUNCT
cana-1242	159	1	following	follow	VERB
cana-1242	159	2	this	this	PRON
cana-1242	159	3	,	,	PUNCT
cana-1242	159	4	the	the	DET
cana-1242	159	5	matrix	matrix	NOUN
cana-1242	159	6	revised	revise	VERB
cana-1242	159	7	for	for	ADP
cana-1242	159	8	t3	t3	PROPN
cana-1242	159	9	with	with	ADP
cana-1242	159	10	the	the	DET
cana-1242	159	11	clustering	clustering	NOUN
cana-1242	159	12	of	of	ADP
cana-1242	159	13	(	(	PUNCT
cana-1242	159	14	p1	p1	NOUN
cana-1242	159	15	,	,	PUNCT
cana-1242	159	16	p2	p2	PROPN
cana-1242	159	17	)	)	PUNCT
cana-1242	159	18	and	and	CCONJ
cana-1242	159	19	p5	p5	ADJ
cana-1242	159	20	as	as	ADP
cana-1242	159	21	,	,	PUNCT
cana-1242	159	22	second	second	ADJ
cana-1242	159	23	distance	distance	NOUN
cana-1242	159	24	matrix	matrix	NOUN
cana-1242	159	25	t3(((p1	t3(((p1	NOUN
cana-1242	159	26	,	,	PUNCT
cana-1242	159	27	p2),p5),p3	p2),p5),p3	NUM
cana-1242	159	28	)	)	PUNCT
cana-1242	159	29	=	=	SYM
cana-1242	159	30	max(t2((p1	max(t2((p1	PROPN
cana-1242	159	31	,	,	PUNCT
cana-1242	159	32	p2),p3	p2),p3	NOUN
cana-1242	159	33	)	)	PUNCT
cana-1242	159	34	,	,	PUNCT
cana-1242	159	35	t2(p5	t2(p5	NOUN
cana-1242	159	36	,	,	PUNCT
cana-1242	159	37	p3	p3	NOUN
cana-1242	159	38	)	)	PUNCT
cana-1242	160	1	=	=	X
cana-1242	160	2	max	max	X
cana-1242	160	3	(	(	PUNCT
cana-1242	160	4	29,38	29,38	NUM
cana-1242	160	5	)	)	PUNCT
cana-1242	160	6	=	=	NOUN
cana-1242	160	7	38	38	NUM
cana-1242	160	8	;	;	PUNCT
cana-1242	160	9	t3(((p1	t3(((p1	NOUN
cana-1242	160	10	,	,	PUNCT
cana-1242	160	11	p2),p5),p4	p2),p5),p4	NUM
cana-1242	160	12	)	)	PUNCT
cana-1242	160	13	=	=	SYM
cana-1242	160	14	max(t2((p1	max(t2((p1	PROPN
cana-1242	160	15	,	,	PUNCT
cana-1242	160	16	p2),p4	p2),p4	PROPN
cana-1242	160	17	)	)	PUNCT
cana-1242	160	18	,	,	PUNCT
cana-1242	160	19	t2(p5	t2(p5	NOUN
cana-1242	160	20	,	,	PUNCT
cana-1242	160	21	p4	p4	ADJ
cana-1242	160	22	)	)	PUNCT
cana-1242	161	1	=	=	SYM
cana-1242	161	2	max	max	X
cana-1242	161	3	(	(	PUNCT
cana-1242	161	4	33,42	33,42	NUM
cana-1242	161	5	)	)	PUNCT
cana-1242	161	6	=	=	SYM
cana-1242	161	7	42	42	NUM
cana-1242	161	8	.	.	PUNCT
cana-1242	162	1	third	third	ADJ
cana-1242	162	2	branch	branch	NOUN
cana-1242	162	3	length	length	NOUN
cana-1242	162	4	in	in	ADP
cana-1242	162	5	table	table	NOUN
cana-1242	162	6	2(c	2(c	NUM
cana-1242	162	7	)	)	PUNCT
cana-1242	162	8	third	third	ADJ
cana-1242	162	9	clustering	clustering	NOUN
cana-1242	162	10	,	,	PUNCT
cana-1242	162	11	from	from	ADP
cana-1242	162	12	the	the	DET
cana-1242	162	13	revised	revise	VERB
cana-1242	162	14	matrix	matrix	NOUN
cana-1242	162	15	t3	t3	PROPN
cana-1242	162	16	,	,	PUNCT
cana-1242	162	17	the	the	DET
cana-1242	162	18	t3(p3	t3(p3	NOUN
cana-1242	162	19	,	,	PUNCT
cana-1242	162	20	p4	p4	ADJ
cana-1242	162	21	)	)	PUNCT
cana-1242	162	22	=	=	VERB
cana-1242	162	23	27	27	NUM
cana-1242	162	24	is	be	AUX
cana-1242	162	25	the	the	DET
cana-1242	162	26	least	least	ADJ
cana-1242	162	27	hence	hence	ADV
cana-1242	162	28	join	join	VERB
cana-1242	162	29	p3	p3	PROPN
cana-1242	162	30	and	and	CCONJ
cana-1242	162	31	p4	p4	ADJ
cana-1242	162	32	.	.	PUNCT
cana-1242	163	1	the	the	DET
cana-1242	163	2	length	length	NOUN
cana-1242	163	3	by	by	ADP
cana-1242	163	4	joining	join	VERB
cana-1242	163	5	p3	p3	PROPN
cana-1242	163	6	and	and	CCONJ
cana-1242	163	7	p4	p4	ADJ
cana-1242	163	8	to	to	ADP
cana-1242	163	9	w	w	PROPN
cana-1242	163	10	is	be	AUX
cana-1242	163	11	(p3	(p3	PROPN
cana-1242	163	12	,	,	PUNCT
cana-1242	163	13	w	w	NOUN
cana-1242	163	14	)	)	PUNCT
cana-1242	163	15	=	=	PUNCT
cana-1242	163	16	(p4	(p4	NOUN
cana-1242	163	17	,	,	PUNCT
cana-1242	163	18	w	w	NOUN
cana-1242	163	19	)	)	PUNCT
cana-1242	163	20	=	=	SYM
cana-1242	164	1	27/2	27/2	PROPN
cana-1242	164	2	=	=	SYM
cana-1242	164	3	13.5	13.5	NUM
cana-1242	164	4	.	.	PUNCT
cana-1242	165	1	the	the	DET
cana-1242	165	2	entry	entry	NOUN
cana-1242	165	3	is	be	AUX
cana-1242	165	4	updated	update	VERB
cana-1242	165	5	as	as	ADP
cana-1242	165	6	,	,	PUNCT
cana-1242	165	7	third	third	ADJ
cana-1242	165	8	distance	distance	NOUN
cana-1242	165	9	matrix	matrix	NOUN
cana-1242	165	10	t4((p3	t4((p3	NOUN
cana-1242	165	11	,	,	PUNCT
cana-1242	165	12	p4	p4	ADJ
cana-1242	165	13	)	)	PUNCT
cana-1242	165	14	,	,	PUNCT
cana-1242	165	15	(	(	PUNCT
cana-1242	165	16	(	(	PUNCT
cana-1242	165	17	p1	p1	NOUN
cana-1242	165	18	,	,	PUNCT
cana-1242	165	19	p2	p2	PROPN
cana-1242	165	20	)	)	PUNCT
cana-1242	165	21	,	,	PUNCT
cana-1242	165	22	p5	p5	ADJ
cana-1242	165	23	)	)	PUNCT
cana-1242	165	24	)	)	PUNCT
cana-1242	166	1	=	=	SYM
cana-1242	166	2	max(t3(p3	max(t3(p3	PROPN
cana-1242	166	3	,	,	PUNCT
cana-1242	166	4	(	(	PUNCT
cana-1242	166	5	(	(	PUNCT
cana-1242	166	6	p1	p1	NOUN
cana-1242	166	7	,	,	PUNCT
cana-1242	166	8	p2	p2	PROPN
cana-1242	166	9	)	)	PUNCT
cana-1242	166	10	,	,	PUNCT
cana-1242	166	11	p5	p5	ADJ
cana-1242	166	12	)	)	PUNCT
cana-1242	166	13	)	)	PUNCT
cana-1242	166	14	,	,	PUNCT
cana-1242	166	15	t3(p4	t3(p4	NOUN
cana-1242	166	16	,	,	PUNCT
cana-1242	166	17	(	(	PUNCT
cana-1242	166	18	(	(	PUNCT
cana-1242	166	19	p1	p1	NOUN
cana-1242	166	20	,	,	PUNCT
cana-1242	166	21	p2	p2	PROPN
cana-1242	166	22	)	)	PUNCT
cana-1242	166	23	,	,	PUNCT
cana-1242	166	24	p5)))=	p5)))=	PROPN
cana-1242	166	25	max	max	PROPN
cana-1242	166	26	(	(	PUNCT
cana-1242	166	27	38	38	NUM
cana-1242	166	28	,	,	PUNCT
cana-1242	166	29	42	42	NUM
cana-1242	166	30	)	)	PUNCT
cana-1242	166	31	=	=	NOUN
cana-1242	166	32	42	42	NUM
cana-1242	166	33	communications	communication	NOUN
cana-1242	166	34	on	on	ADP
cana-1242	166	35	applied	apply	VERB
cana-1242	166	36	nonlinear	nonlinear	ADJ
cana-1242	166	37	analysis	analysis	NOUN
cana-1242	166	38	issn	issn	NOUN
cana-1242	166	39	:	:	PUNCT
cana-1242	166	40	1074	1074	NUM
cana-1242	166	41	-	-	PUNCT
cana-1242	166	42	133x	133x	NUM
cana-1242	166	43	vol	vol	NOUN
cana-1242	166	44	31	31	NUM
cana-1242	166	45	no	no	NOUN
cana-1242	166	46	.	.	PUNCT
cana-1242	167	1	6s	6s	NUM
cana-1242	167	2	(	(	PUNCT
cana-1242	167	3	2024	2024	NUM
cana-1242	167	4	)	)	PUNCT
cana-1242	167	5	545	545	NUM
cana-1242	167	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1242	167	7	fourth	fourth	ADJ
cana-1242	167	8	branch	branch	NOUN
cana-1242	167	9	length	length	NOUN
cana-1242	167	10	–	–	PUNCT
cana-1242	167	11	in	in	ADP
cana-1242	167	12	table	table	NOUN
cana-1242	167	13	2(d	2(d	NUM
cana-1242	167	14	)	)	PUNCT
cana-1242	167	15	final	final	ADJ
cana-1242	167	16	one	one	NUM
cana-1242	167	17	,	,	PUNCT
cana-1242	167	18	the	the	DET
cana-1242	167	19	t4	t4	PROPN
cana-1242	167	20	is	be	AUX
cana-1242	167	21	updated	update	VERB
cana-1242	167	22	by	by	ADP
cana-1242	167	23	joining	join	VERB
cana-1242	167	24	(	(	PUNCT
cana-1242	167	25	(	(	PUNCT
cana-1242	167	26	p1	p1	NOUN
cana-1242	167	27	,	,	PUNCT
cana-1242	167	28	p2	p2	PROPN
cana-1242	167	29	)	)	PUNCT
cana-1242	167	30	,	,	PUNCT
cana-1242	167	31	p5	p5	ADJ
cana-1242	167	32	)	)	PUNCT
cana-1242	167	33	,	,	PUNCT
cana-1242	167	34	(	(	PUNCT
cana-1242	167	35	p3	p3	PROPN
cana-1242	167	36	,	,	PUNCT
cana-1242	167	37	p4	p4	ADJ
cana-1242	167	38	)	)	PUNCT
cana-1242	167	39	to	to	ADP
cana-1242	167	40	the	the	DET
cana-1242	167	41	root	root	NOUN
cana-1242	167	42	node	node	PROPN
cana-1242	167	43	r.	r.	PROPN
cana-1242	167	44	then	then	ADV
cana-1242	167	45	the	the	DET
cana-1242	167	46	length	length	NOUN
cana-1242	167	47	is	be	AUX
cana-1242	167	48	((((p1	((((p1	NOUN
cana-1242	167	49	,	,	PUNCT
cana-1242	167	50	p2	p2	PROPN
cana-1242	167	51	)	)	PUNCT
cana-1242	167	52	,	,	PUNCT
cana-1242	167	53	p5	p5	ADJ
cana-1242	167	54	)	)	PUNCT
cana-1242	167	55	,	,	PUNCT
cana-1242	168	1	r	r	NOUN
cana-1242	168	2	)	)	PUNCT
cana-1242	168	3	=	=	SYM
cana-1242	168	4	((p3	((p3	PROPN
cana-1242	168	5	,	,	PUNCT
cana-1242	168	6	p4	p4	ADJ
cana-1242	168	7	)	)	PUNCT
cana-1242	168	8	,	,	PUNCT
cana-1242	168	9	r	r	NOUN
cana-1242	168	10	)	)	PUNCT
cana-1242	168	11	=	=	SYM
cana-1242	169	1	42/2	42/2	NUM
cana-1242	170	1	=	=	NUM
cana-1242	170	2	21.0	21.0	NUM
cana-1242	170	3	,	,	PUNCT
cana-1242	170	4	after	after	ADP
cana-1242	170	5	diminishing	diminish	VERB
cana-1242	170	6	the	the	DET
cana-1242	170	7	two	two	NUM
cana-1242	170	8	remaining	remain	VERB
cana-1242	170	9	branch	branch	NOUN
cana-1242	170	10	are	be	AUX
cana-1242	170	11	(v	(v	VERB
cana-1242	170	12	,	,	PUNCT
cana-1242	170	13	r	r	NOUN
cana-1242	170	14	)	)	PUNCT
cana-1242	170	15	=	=	SYM
cana-1242	170	16	(((p1	(((p1	NOUN
cana-1242	170	17	,	,	PUNCT
cana-1242	170	18	p2	p2	PROPN
cana-1242	170	19	)	)	PUNCT
cana-1242	170	20	,	,	PUNCT
cana-1242	170	21	p5	p5	VERB
cana-1242	170	22	,	,	PUNCT
cana-1242	170	23	r	r	NOUN
cana-1242	170	24	)	)	PUNCT
cana-1242	170	25	(p5	(p5	NOUN
cana-1242	170	26	,	,	PUNCT
cana-1242	170	27	v	v	NOUN
cana-1242	170	28	)	)	PUNCT
cana-1242	171	1	=	=	NOUN
cana-1242	171	2	21.0	21.0	NUM
cana-1242	171	3	-	-	SYM
cana-1242	171	4	11.0	11.0	NUM
cana-1242	171	5	=	=	NUM
cana-1242	171	6	10	10	NUM
cana-1242	171	7	;	;	PUNCT
cana-1242	171	8	and	and	CCONJ
cana-1242	171	9	(w	(w	VERB
cana-1242	171	10	,	,	PUNCT
cana-1242	171	11	r	r	NOUN
cana-1242	171	12	)	)	PUNCT
cana-1242	171	13	=	=	SYM
cana-1242	171	14	((p3	((p3	PROPN
cana-1242	171	15	,	,	PUNCT
cana-1242	171	16	p4	p4	ADJ
cana-1242	171	17	)	)	PUNCT
cana-1242	171	18	,	,	PUNCT
cana-1242	171	19	r	r	NOUN
cana-1242	171	20	)	)	PUNCT
cana-1242	171	21	(p3	(p3	PROPN
cana-1242	171	22	,	,	PUNCT
cana-1242	171	23	w	w	NOUN
cana-1242	171	24	)	)	PUNCT
cana-1242	171	25	=	=	NOUN
cana-1242	171	26	21.0	21.0	NUM
cana-1242	171	27	-	-	SYM
cana-1242	171	28	13.5	13.5	NUM
cana-1242	171	29	=	=	SYM
cana-1242	171	30	7.5	7.5	NUM
cana-1242	171	31	the	the	DET
cana-1242	171	32	diagram	diagram	NOUN
cana-1242	171	33	relates	relate	VERB
cana-1242	171	34	to	to	PART
cana-1242	171	35	complete	complete	VERB
cana-1242	171	36	linkage	linkage	NOUN
cana-1242	171	37	with	with	ADP
cana-1242	171	38	the	the	DET
cana-1242	171	39	e	e	NOUN
cana-1242	171	40	above	above	ADP
cana-1242	171	41	values	value	NOUN
cana-1242	171	42	are	be	AUX
cana-1242	171	43	represented	represent	VERB
cana-1242	171	44	as	as	ADP
cana-1242	171	45	in	in	ADP
cana-1242	171	46	fig.1	fig.1	ADJ
cana-1242	171	47	figure	figure	NOUN
cana-1242	171	48	1	1	NUM
cana-1242	171	49	.	.	PUNCT
cana-1242	171	50	complete	complete	ADJ
cana-1242	171	51	linkage	linkage	NOUN
cana-1242	171	52	diagram	diagram	NOUN
cana-1242	171	53	4.5	4.5	NUM
cana-1242	171	54	flat	flat	ADJ
cana-1242	171	55	clustering	clustering	NOUN
cana-1242	171	56	,	,	PUNCT
cana-1242	171	57	sum	sum	NOUN
cana-1242	171	58	of	of	ADP
cana-1242	171	59	squares	square	NOUN
cana-1242	171	60	(	(	PUNCT
cana-1242	171	61	sos	sos	PROPN
cana-1242	171	62	)	)	PUNCT
cana-1242	171	63	figure	figure	NOUN
cana-1242	171	64	2	2	NUM
cana-1242	171	65	.	.	PUNCT
cana-1242	171	66	flow	flow	NOUN
cana-1242	171	67	of	of	ADP
cana-1242	171	68	fphac	fphac	NOUN
cana-1242	171	69	2	2	NUM
cana-1242	171	70	1	1	NUM
cana-1242	171	71	.	.	PUNCT
cana-1242	171	72	0	0	NUM
cana-1242	171	73	1	1	NUM
cana-1242	171	74	1	1	NUM
cana-1242	171	75	.	.	PUNCT
cana-1242	171	76	0	0	NUM
cana-1242	171	77	8	8	NUM
cana-1242	171	78	.	.	PUNCT
cana-1242	172	1	0	0	NUM
cana-1242	172	2	0	0	NUM
cana-1242	172	3	1	1	NUM
cana-1242	172	4	3	3	NUM
cana-1242	172	5	.	.	X
cana-1242	172	6	5	5	NUM
cana-1242	172	7	hei	hei	PROPN
cana-1242	172	8	ght	ght	PROPN
cana-1242	172	9	7	7	NUM
cana-1242	172	10	.	.	PUNCT
cana-1242	173	1	5	5	NUM
cana-1242	173	2	w	w	NOUN
cana-1242	173	3	2	2	NUM
cana-1242	173	4	.	.	PUNCT
cana-1242	174	1	5	5	NUM
cana-1242	174	2	v	v	NOUN
cana-1242	174	3	3	3	NUM
cana-1242	174	4	.	.	PUNCT
cana-1242	174	5	0	0	NUM
cana-1242	175	1	u	u	NOUN
cana-1242	175	2	r	r	NOUN
cana-1242	175	3	if	if	SCONJ
cana-1242	175	4	sos	sos	PROPN
cana-1242	175	5			PROPN
cana-1242	175	6	0.4	0.4	NUM
cana-1242	175	7	true	true	ADJ
cana-1242	175	8	false	false	ADJ
cana-1242	175	9	dataset	dataset	NOUN
cana-1242	175	10	replacing	replace	VERB
cana-1242	175	11	missing	missing	ADJ
cana-1242	175	12	value	value	NOUN
cana-1242	175	13	,	,	PUNCT
cana-1242	175	14	nominal	nominal	ADJ
cana-1242	175	15	to	to	ADP
cana-1242	175	16	numerical	numerical	ADJ
cana-1242	175	17	data	data	PROPN
cana-1242	175	18	type	type	NOUN
cana-1242	175	19	transformation	transformation	NOUN
cana-1242	175	20	data	datum	NOUN
cana-1242	175	21	summarization	summarization	NOUN
cana-1242	175	22	with	with	ADP
cana-1242	175	23	pivot	pivot	NOUN
cana-1242	175	24	table	table	NOUN
cana-1242	175	25	,	,	PUNCT
cana-1242	175	26	normalization	normalization	NOUN
cana-1242	175	27	fuzzy	fuzzy	ADJ
cana-1242	175	28	partition	partition	NOUN
cana-1242	175	29	matrix	matrix	NOUN
cana-1242	175	30	matrix	matrix	NOUN
cana-1242	175	31	to	to	ADP
cana-1242	175	32	regular	regular	ADJ
cana-1242	175	33	attribute	attribute	NOUN
cana-1242	175	34	hac	hac	NOUN
cana-1242	175	35	clustering	cluster	VERB
cana-1242	175	36	flatten	flatten	VERB
cana-1242	175	37	clustering	cluster	VERB
cana-1242	175	38	visualizing	visualize	VERB
cana-1242	175	39	dendrogram	dendrogram	NOUN
cana-1242	175	40	fix	fix	VERB
cana-1242	175	41	maximum	maximum	ADJ
cana-1242	175	42	distance	distance	NOUN
cana-1242	175	43	threshold	threshold	NOUN
cana-1242	175	44	value	value	NOUN
cana-1242	175	45	in	in	ADP
cana-1242	175	46	dendrogram	dendrogram	NOUN
cana-1242	175	47	performance	performance	NOUN
cana-1242	175	48	using	use	VERB
cana-1242	175	49	sos	sos	PROPN
cana-1242	175	50	final	final	ADJ
cana-1242	175	51	performance	performance	NOUN
cana-1242	175	52	assessment	assessment	NOUN
cana-1242	175	53	of	of	ADP
cana-1242	175	54	clustering	clustering	NOUN
cana-1242	175	55	using	use	VERB
cana-1242	175	56	intra	intra	ADJ
cana-1242	175	57	cluster	cluster	NOUN
cana-1242	175	58	distance	distance	NOUN
cana-1242	175	59	communications	communication	NOUN
cana-1242	175	60	on	on	ADP
cana-1242	175	61	applied	apply	VERB
cana-1242	175	62	nonlinear	nonlinear	ADJ
cana-1242	175	63	analysis	analysis	NOUN
cana-1242	175	64	issn	issn	NOUN
cana-1242	175	65	:	:	PUNCT
cana-1242	175	66	1074	1074	NUM
cana-1242	175	67	-	-	PUNCT
cana-1242	175	68	133x	133x	NUM
cana-1242	175	69	vol	vol	NOUN
cana-1242	175	70	31	31	NUM
cana-1242	175	71	no	no	NOUN
cana-1242	175	72	.	.	PUNCT
cana-1242	176	1	6s	6s	NUM
cana-1242	176	2	(	(	PUNCT
cana-1242	176	3	2024	2024	NUM
cana-1242	176	4	)	)	PUNCT
cana-1242	176	5	546	546	NUM
cana-1242	176	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	176	7	fig	fig	NOUN
cana-1242	176	8	.	.	PUNCT
cana-1242	177	1	2	2	NUM
cana-1242	177	2	,	,	PUNCT
cana-1242	177	3	shows	show	VERB
cana-1242	177	4	the	the	DET
cana-1242	177	5	flow	flow	NOUN
cana-1242	177	6	of	of	ADP
cana-1242	177	7	work	work	NOUN
cana-1242	177	8	that	that	PRON
cana-1242	177	9	starts	start	VERB
cana-1242	177	10	with	with	ADP
cana-1242	177	11	preprocessing	preprocessing	NOUN
cana-1242	177	12	,	,	PUNCT
cana-1242	177	13	data	datum	NOUN
cana-1242	177	14	summarzation	summarzation	NOUN
cana-1242	177	15	,	,	PUNCT
cana-1242	177	16	fuzzy	fuzzy	ADJ
cana-1242	177	17	partitioning	partitioning	NOUN
cana-1242	177	18	,	,	PUNCT
cana-1242	177	19	hierarchical	hierarchical	ADJ
cana-1242	177	20	clustering	clustering	NOUN
cana-1242	177	21	,	,	PUNCT
cana-1242	177	22	flat	flat	ADJ
cana-1242	177	23	clustering	clustering	NOUN
cana-1242	177	24	with	with	ADP
cana-1242	177	25	threshold	threshold	NOUN
cana-1242	177	26	value	value	NOUN
cana-1242	177	27	which	which	PRON
cana-1242	177	28	is	be	AUX
cana-1242	177	29	fixed	fix	VERB
cana-1242	177	30	using	use	VERB
cana-1242	177	31	the	the	DET
cana-1242	177	32	objective	objective	ADJ
cana-1242	177	33	function	function	NOUN
cana-1242	177	34	sos	sos	PROPN
cana-1242	177	35	.	.	PUNCT
cana-1242	178	1	in	in	ADP
cana-1242	178	2	final	final	ADJ
cana-1242	178	3	,	,	PUNCT
cana-1242	178	4	the	the	DET
cana-1242	178	5	clusters	cluster	NOUN
cana-1242	178	6	are	be	AUX
cana-1242	178	7	assessed	assess	VERB
cana-1242	178	8	with	with	ADP
cana-1242	178	9	intra	intra	ADJ
cana-1242	178	10	cluster	cluster	NOUN
cana-1242	178	11	distance	distance	NOUN
cana-1242	178	12	(	(	PUNCT
cana-1242	178	13	cluster	cluster	NOUN
cana-1242	178	14	density	density	NOUN
cana-1242	178	15	)	)	PUNCT
cana-1242	178	16	.	.	PUNCT
cana-1242	179	1	generally	generally	ADV
cana-1242	179	2	,	,	PUNCT
cana-1242	179	3	traditional	traditional	ADJ
cana-1242	179	4	hierarchical	hierarchical	ADJ
cana-1242	179	5	clustering	clustering	NOUN
cana-1242	179	6	does	do	AUX
cana-1242	179	7	not	not	PART
cana-1242	179	8	include	include	VERB
cana-1242	179	9	any	any	DET
cana-1242	179	10	objective	objective	ADJ
cana-1242	179	11	function	function	NOUN
cana-1242	179	12	.	.	PUNCT
cana-1242	180	1	it	it	PRON
cana-1242	180	2	produces	produce	VERB
cana-1242	180	3	numerous	numerous	ADJ
cana-1242	180	4	clusters	cluster	NOUN
cana-1242	180	5	based	base	VERB
cana-1242	180	6	on	on	ADP
cana-1242	180	7	the	the	DET
cana-1242	180	8	linkage	linkage	NOUN
cana-1242	180	9	criteria	criterion	NOUN
cana-1242	180	10	.	.	PUNCT
cana-1242	181	1	the	the	DET
cana-1242	181	2	inclusion	inclusion	NOUN
cana-1242	181	3	of	of	ADP
cana-1242	181	4	flat	flat	ADJ
cana-1242	181	5	clustering	clustering	ADJ
cana-1242	181	6	simplifies	simplifie	NOUN
cana-1242	181	7	the	the	DET
cana-1242	181	8	hierarchical	hierarchical	ADJ
cana-1242	181	9	(	(	PUNCT
cana-1242	181	10	numerous	numerous	ADJ
cana-1242	181	11	clusters	cluster	NOUN
cana-1242	181	12	)	)	PUNCT
cana-1242	181	13	cluster	cluster	NOUN
cana-1242	181	14	by	by	ADP
cana-1242	181	15	applying	apply	VERB
cana-1242	181	16	the	the	DET
cana-1242	181	17	parameter	parameter	NOUN
cana-1242	181	18	such	such	ADJ
cana-1242	181	19	as	as	ADP
cana-1242	181	20	number	number	NOUN
cana-1242	181	21	of	of	ADP
cana-1242	181	22	clusters	cluster	NOUN
cana-1242	181	23	or	or	CCONJ
cana-1242	181	24	threshold	threshold	NOUN
cana-1242	181	25	value	value	NOUN
cana-1242	181	26	to	to	PART
cana-1242	181	27	cut	cut	VERB
cana-1242	181	28	the	the	DET
cana-1242	181	29	clusters	cluster	NOUN
cana-1242	181	30	from	from	ADP
cana-1242	181	31	dendrogram	dendrogram	NOUN
cana-1242	181	32	.	.	PUNCT
cana-1242	182	1	the	the	DET
cana-1242	182	2	flat	flat	ADJ
cana-1242	182	3	clustering	clustering	NOUN
cana-1242	182	4	expands	expand	VERB
cana-1242	182	5	the	the	DET
cana-1242	182	6	nodes	node	NOUN
cana-1242	182	7	in	in	ADP
cana-1242	182	8	the	the	DET
cana-1242	182	9	order	order	NOUN
cana-1242	182	10	of	of	ADP
cana-1242	182	11	their	their	PRON
cana-1242	182	12	distance	distance	NOUN
cana-1242	182	13	in	in	ADP
cana-1242	182	14	the	the	DET
cana-1242	182	15	dendrogram	dendrogram	NOUN
cana-1242	182	16	.	.	PUNCT
cana-1242	183	1	this	this	DET
cana-1242	183	2	hierarchy	hierarchy	NOUN
cana-1242	183	3	information	information	NOUN
cana-1242	183	4	is	be	AUX
cana-1242	183	5	visualized	visualize	VERB
cana-1242	183	6	in	in	ADP
cana-1242	183	7	dendrogram	dendrogram	NOUN
cana-1242	183	8	.	.	PUNCT
cana-1242	184	1	the	the	DET
cana-1242	184	2	flat	flat	ADJ
cana-1242	184	3	clustering	clustering	NOUN
cana-1242	184	4	is	be	AUX
cana-1242	184	5	used	use	VERB
cana-1242	184	6	to	to	PART
cana-1242	184	7	define	define	VERB
cana-1242	184	8	some	some	DET
cana-1242	184	9	cut	cut	VERB
cana-1242	184	10	-	-	PUNCT
cana-1242	184	11	point	point	NOUN
cana-1242	184	12	level	level	NOUN
cana-1242	184	13	on	on	ADP
cana-1242	184	14	the	the	DET
cana-1242	184	15	dendrogram	dendrogram	NOUN
cana-1242	184	16	height	height	NOUN
cana-1242	184	17	that	that	PRON
cana-1242	184	18	leads	lead	VERB
cana-1242	184	19	to	to	ADP
cana-1242	184	20	further	further	ADJ
cana-1242	184	21	comprehensible	comprehensible	ADJ
cana-1242	184	22	analysis	analysis	NOUN
cana-1242	184	23	.	.	PUNCT
cana-1242	185	1	it	it	PRON
cana-1242	185	2	is	be	AUX
cana-1242	185	3	associated	associate	VERB
cana-1242	185	4	with	with	ADP
cana-1242	185	5	a	a	DET
cana-1242	185	6	threshold	threshold	NOUN
cana-1242	185	7	on	on	ADP
cana-1242	185	8	the	the	DET
cana-1242	185	9	dendrogram	dendrogram	NOUN
cana-1242	185	10	height	height	NOUN
cana-1242	185	11	.	.	PUNCT
cana-1242	186	1	but	but	CCONJ
cana-1242	186	2	,	,	PUNCT
cana-1242	186	3	there	there	PRON
cana-1242	186	4	is	be	VERB
cana-1242	186	5	no	no	DET
cana-1242	186	6	defined	define	VERB
cana-1242	186	7	procedure	procedure	NOUN
cana-1242	186	8	to	to	PART
cana-1242	186	9	fix	fix	VERB
cana-1242	186	10	this	this	DET
cana-1242	186	11	threshold	threshold	NOUN
cana-1242	186	12	value	value	NOUN
cana-1242	186	13	to	to	ADP
cana-1242	186	14	a	a	DET
cana-1242	186	15	compact	compact	ADJ
cana-1242	186	16	clusters	cluster	NOUN
cana-1242	186	17	.	.	PUNCT
cana-1242	187	1	hence	hence	ADV
cana-1242	187	2	,	,	PUNCT
cana-1242	187	3	this	this	DET
cana-1242	187	4	work	work	NOUN
cana-1242	187	5	proposed	propose	VERB
cana-1242	187	6	an	an	DET
cana-1242	187	7	objective	objective	ADJ
cana-1242	187	8	function	function	NOUN
cana-1242	187	9	named	name	VERB
cana-1242	187	10	sum	sum	NOUN
cana-1242	187	11	of	of	ADP
cana-1242	187	12	squares	square	NOUN
cana-1242	187	13	on	on	ADP
cana-1242	187	14	flat	flat	ADJ
cana-1242	187	15	clustering	clustering	NOUN
cana-1242	187	16	to	to	PART
cana-1242	187	17	fix	fix	VERB
cana-1242	187	18	the	the	DET
cana-1242	187	19	optimum	optimum	ADJ
cana-1242	187	20	threshold	threshold	NOUN
cana-1242	187	21	value	value	NOUN
cana-1242	187	22	.	.	PUNCT
cana-1242	188	1	this	this	DET
cana-1242	188	2	work	work	NOUN
cana-1242	188	3	applies	apply	VERB
cana-1242	188	4	a	a	DET
cana-1242	188	5	value	value	NOUN
cana-1242	188	6	for	for	ADP
cana-1242	188	7	the	the	DET
cana-1242	188	8	objective	objective	ADJ
cana-1242	188	9	function	function	NOUN
cana-1242	188	10	sum	sum	NOUN
cana-1242	188	11	of	of	ADP
cana-1242	188	12	squares	square	NOUN
cana-1242	188	13	and	and	CCONJ
cana-1242	188	14	executes	execute	VERB
cana-1242	188	15	the	the	DET
cana-1242	188	16	clustering	clustering	NOUN
cana-1242	188	17	till	till	SCONJ
cana-1242	188	18	it	it	PRON
cana-1242	188	19	satisfies	satisfy	VERB
cana-1242	188	20	the	the	DET
cana-1242	188	21	objective	objective	ADJ
cana-1242	188	22	function	function	NOUN
cana-1242	188	23	.	.	PUNCT
cana-1242	189	1	it	it	PRON
cana-1242	189	2	measures	measure	VERB
cana-1242	189	3	the	the	DET
cana-1242	189	4	deviation	deviation	NOUN
cana-1242	189	5	of	of	ADP
cana-1242	189	6	data	datum	NOUN
cana-1242	189	7	points	point	NOUN
cana-1242	189	8	from	from	ADP
cana-1242	189	9	the	the	DET
cana-1242	189	10	mean	mean	ADJ
cana-1242	189	11	value	value	NOUN
cana-1242	189	12	of	of	ADP
cana-1242	189	13	the	the	DET
cana-1242	189	14	cluster	cluster	NOUN
cana-1242	189	15	.	.	PUNCT
cana-1242	190	1	generally	generally	ADV
cana-1242	190	2	,	,	PUNCT
cana-1242	190	3	higher	high	ADJ
cana-1242	190	4	the	the	DET
cana-1242	190	5	sum	sum	NOUN
cana-1242	190	6	of	of	ADP
cana-1242	190	7	squares	square	NOUN
cana-1242	190	8	denotes	denote	VERB
cana-1242	190	9	higher	high	ADJ
cana-1242	190	10	variability	variability	NOUN
cana-1242	190	11	while	while	SCONJ
cana-1242	190	12	a	a	DET
cana-1242	190	13	lower	low	ADJ
cana-1242	190	14	implies	imply	VERB
cana-1242	190	15	less	less	ADJ
cana-1242	190	16	variability	variability	NOUN
cana-1242	190	17	.	.	PUNCT
cana-1242	191	1	the	the	DET
cana-1242	191	2	three	three	NUM
cana-1242	191	3	types	type	NOUN
cana-1242	191	4	of	of	ADP
cana-1242	191	5	sum	sum	NOUN
cana-1242	191	6	of	of	ADP
cana-1242	191	7	squares	square	NOUN
cana-1242	191	8	are	be	AUX
cana-1242	191	9	total	total	ADJ
cana-1242	191	10	,	,	PUNCT
cana-1242	191	11	residual	residual	ADJ
cana-1242	191	12	,	,	PUNCT
cana-1242	191	13	and	and	CCONJ
cana-1242	191	14	regressive	regressive	ADJ
cana-1242	191	15	.	.	PUNCT
cana-1242	192	1	in	in	ADP
cana-1242	192	2	order	order	NOUN
cana-1242	192	3	to	to	PART
cana-1242	192	4	calculate	calculate	VERB
cana-1242	192	5	the	the	DET
cana-1242	192	6	sum	sum	NOUN
cana-1242	192	7	of	of	ADP
cana-1242	192	8	squares	square	NOUN
cana-1242	192	9	,	,	PUNCT
cana-1242	192	10	first	first	ADV
cana-1242	192	11	subtract	subtract	VERB
cana-1242	192	12	the	the	DET
cana-1242	192	13	mean	mean	NOUN
cana-1242	192	14	from	from	ADP
cana-1242	192	15	the	the	DET
cana-1242	192	16	data	data	NOUN
cana-1242	192	17	points	point	NOUN
cana-1242	192	18	then	then	ADV
cana-1242	192	19	square	square	VERB
cana-1242	192	20	the	the	DET
cana-1242	192	21	differences	difference	NOUN
cana-1242	192	22	,	,	PUNCT
cana-1242	192	23	and	and	CCONJ
cana-1242	192	24	finally	finally	ADV
cana-1242	192	25	add	add	VERB
cana-1242	192	26	them	they	PRON
cana-1242	192	27	together	together	ADV
cana-1242	192	28	.	.	PUNCT
cana-1242	193	1	the	the	DET
cana-1242	193	2	sos	sos	PROPN
cana-1242	193	3	value	value	NOUN
cana-1242	193	4	will	will	AUX
cana-1242	193	5	decrease	decrease	VERB
cana-1242	193	6	as	as	ADP
cana-1242	193	7	the	the	DET
cana-1242	193	8	number	number	NOUN
cana-1242	193	9	of	of	ADP
cana-1242	193	10	clusters	cluster	NOUN
cana-1242	193	11	increases	increase	NOUN
cana-1242	193	12	.	.	PUNCT
cana-1242	194	1	fphac	fphac	NOUN
cana-1242	194	2	algorithm	algorithm	PROPN
cana-1242	194	3	input	input	NOUN
cana-1242	194	4	output	output	NOUN
cana-1242	194	5	unlabeled	unlabele	VERB
cana-1242	194	6	transaction	transaction	NOUN
cana-1242	194	7	datasets	dataset	NOUN
cana-1242	194	8	cluster	cluster	NOUN
cana-1242	194	9	hierarchy	hierarchy	NOUN
cana-1242	194	10	,	,	PUNCT
cana-1242	194	11	dendrogram	dendrogram	NOUN
cana-1242	194	12	,	,	PUNCT
cana-1242	194	13	flat	flat	ADJ
cana-1242	194	14	clustered	clustered	ADJ
cana-1242	194	15	set	set	VERB
cana-1242	194	16	step	step	NOUN
cana-1242	194	17	1	1	NUM
cana-1242	194	18	preprocessing	preprocessing	NOUN
cana-1242	194	19	replacing	replace	VERB
cana-1242	194	20	missing	missing	ADJ
cana-1242	194	21	value	value	NOUN
cana-1242	194	22	,	,	PUNCT
cana-1242	194	23	nominal	nominal	ADJ
cana-1242	194	24	to	to	ADP
cana-1242	194	25	numerical	numerical	ADJ
cana-1242	194	26	,	,	PUNCT
cana-1242	194	27	normalization	normalization	NOUN
cana-1242	194	28	step	step	VERB
cana-1242	194	29	2	2	NUM
cana-1242	194	30	creation	creation	NOUN
cana-1242	194	31	of	of	ADP
cana-1242	194	32	pivot	pivot	NOUN
cana-1242	194	33	table	table	NOUN
cana-1242	194	34	using	use	VERB
cana-1242	194	35	the	the	DET
cana-1242	194	36	attribute	attribute	NOUN
cana-1242	194	37	order	order	NOUN
cana-1242	194	38	i	i	PROPN
cana-1242	194	39	d	d	PROPN
cana-1242	194	40	,	,	PUNCT
cana-1242	194	41	product	product	NOUN
cana-1242	194	42	i	i	PROPN
cana-1242	194	43	d	d	PROPN
cana-1242	194	44	,	,	PUNCT
cana-1242	194	45	sales	sale	NOUN
cana-1242	194	46	.	.	PUNCT
cana-1242	195	1	step	step	NOUN
cana-1242	195	2	3	3	NUM
cana-1242	195	3	applying	apply	VERB
cana-1242	195	4	fuzzy	fuzzy	ADJ
cana-1242	195	5	clustering	clustering	NOUN
cana-1242	195	6	to	to	PART
cana-1242	195	7	obtain	obtain	VERB
cana-1242	195	8	fuzzy	fuzzy	ADJ
cana-1242	195	9	partition	partition	NOUN
cana-1242	195	10	matrix	matrix	NOUN
cana-1242	195	11	with	with	ADP
cana-1242	195	12	manhattan	manhattan	PROPN
cana-1242	195	13	distance	distance	NOUN
cana-1242	195	14	using	use	VERB
cana-1242	195	15	,	,	PUNCT
cana-1242	195	16	𝑃𝑎𝑟𝑡𝑖𝑡𝑖𝑜𝑛	𝑃𝑎𝑟𝑡𝑖𝑡𝑖𝑜𝑛	PROPN
cana-1242	195	17	𝑀𝑎𝑡𝑟𝑖𝑥	𝑀𝑎𝑡𝑟𝑖𝑥	PROPN
cana-1242	195	18	:	:	PUNCT
cana-1242	195	19	𝑤𝑖𝑗	𝑤𝑖𝑗	PROPN
cana-1242	195	20	=	=	SYM
cana-1242	195	21	1	1	NUM
cana-1242	195	22	∑	∑	PUNCT
cana-1242	195	23	(	(	PUNCT
cana-1242	195	24	‖𝑥𝑖	‖𝑥𝑖	PROPN
cana-1242	195	25	−	−	PROPN
cana-1242	195	26	𝑐𝑗‖	𝑐𝑗‖	NOUN
cana-1242	195	27	‖𝑥𝑖	‖𝑥𝑖	NUM
cana-1242	195	28	−	−	NOUN
cana-1242	195	29	𝑐𝑘‖	𝑐𝑘‖	NOUN
cana-1242	195	30	)	)	PUNCT
cana-1242	195	31	2	2	NUM
cana-1242	195	32	𝑚−1𝑐	𝑚−1𝑐	NOUN
cana-1242	195	33	𝑘=1	𝑘=1	PUNCT
cana-1242	196	1	𝑀𝑎𝑛ℎ𝑎𝑡𝑡𝑎𝑛	𝑀𝑎𝑛ℎ𝑎𝑡𝑡𝑎𝑛	PROPN
cana-1242	196	2	𝐷𝑖𝑠𝑡𝑎𝑛𝑐𝑒	𝐷𝑖𝑠𝑡𝑎𝑛𝑐𝑒	PROPN
cana-1242	196	3	=	=	PUNCT
cana-1242	197	1	∑|𝑝𝑖	∑|𝑝𝑖	PROPN
cana-1242	197	2	−	−	NOUN
cana-1242	197	3	𝑞𝑖	𝑞𝑖	NOUN
cana-1242	197	4	𝑛	𝑛	PRON
cana-1242	197	5	𝑖=1	𝑖=1	PROPN
cana-1242	197	6	|	|	ADV
cana-1242	197	7	step	step	VERB
cana-1242	197	8	4	4	NUM
cana-1242	197	9	transform	transform	VERB
cana-1242	197	10	fuzzy	fuzzy	ADJ
cana-1242	197	11	partition	partition	NOUN
cana-1242	197	12	matrix	matrix	NOUN
cana-1242	197	13	to	to	ADP
cana-1242	197	14	regular	regular	ADJ
cana-1242	197	15	attributes	attribute	NOUN
cana-1242	197	16	step	step	VERB
cana-1242	197	17	5	5	NUM
cana-1242	197	18	apply	apply	VERB
cana-1242	197	19	hierarchical	hierarchical	ADJ
cana-1242	197	20	agglomerative	agglomerative	ADJ
cana-1242	197	21	clustering	clustering	NOUN
cana-1242	197	22	with	with	ADP
cana-1242	197	23	complete	complete	ADJ
cana-1242	197	24	linkage	linkage	NOUN
cana-1242	197	25	criteria	criterion	NOUN
cana-1242	197	26	using	use	VERB
cana-1242	197	27	the	the	DET
cana-1242	197	28	steps	step	NOUN
cana-1242	197	29	,	,	PUNCT
cana-1242	197	30	5.1	5.1	NUM
cana-1242	197	31	initialize	initialize	NOUN
cana-1242	197	32	level	level	NOUN
cana-1242	197	33	,	,	PUNCT
cana-1242	197	34	sequence	sequence	NOUN
cana-1242	197	35	number	number	NOUN
cana-1242	197	36	as	as	ADP
cana-1242	197	37	v(0	v(0	PROPN
cana-1242	197	38	)	)	PUNCT
cana-1242	197	39	,	,	PUNCT
cana-1242	197	40	m=0	m=0	PROPN
cana-1242	197	41	respectively	respectively	ADV
cana-1242	197	42	.	.	PUNCT
cana-1242	198	1	5.2	5.2	NUM
cana-1242	198	2	retrieve	retrieve	VERB
cana-1242	198	3	the	the	DET
cana-1242	198	4	most	most	ADV
cana-1242	198	5	uniqueness	uniqueness	ADJ
cana-1242	198	6	pair	pair	NOUN
cana-1242	198	7	,	,	PUNCT
cana-1242	198	8	let	let	VERB
cana-1242	198	9	d[(r	d[(r	NOUN
cana-1242	198	10	)	)	PUNCT
cana-1242	198	11	,	,	PUNCT
cana-1242	198	12	(	(	PUNCT
cana-1242	198	13	s	s	X
cana-1242	198	14	)	)	PUNCT
cana-1242	198	15	]	]	PUNCT
cana-1242	198	16	is	be	AUX
cana-1242	198	17	min	min	NOUN
cana-1242	198	18	d[(i	d[(i	NOUN
cana-1242	198	19	)	)	PUNCT
cana-1242	198	20	,	,	PUNCT
cana-1242	198	21	(	(	PUNCT
cana-1242	198	22	j	j	NOUN
cana-1242	198	23	)	)	PUNCT
cana-1242	198	24	]	]	PUNCT
cana-1242	198	25	over	over	ADP
cana-1242	198	26	all	all	DET
cana-1242	198	27	the	the	DET
cana-1242	198	28	pairs	pair	NOUN
cana-1242	198	29	.	.	PUNCT
cana-1242	199	1	distmax(ci	distmax(ci	NOUN
cana-1242	199	2	,	,	PUNCT
cana-1242	199	3	cj	cj	X
cana-1242	199	4	)	)	PUNCT
cana-1242	199	5	=	=	SYM
cana-1242	199	6	d(aaa	d(aaa	PROPN
cana-1242	199	7	,	,	PUNCT
cana-1242	199	8	b	b	PROPN
cana-1242	199	9	b	b	PROPN
cana-1242	199	10	max	max	PROPN
cana-1242	199	11	,	,	PUNCT
cana-1242	199	12	b	b	X
cana-1242	199	13	)	)	PUNCT
cana-1242	199	14	5.3	5.3	NUM
cana-1242	199	15	increase	increase	VERB
cana-1242	199	16	the	the	DET
cana-1242	199	17	sequence	sequence	NOUN
cana-1242	199	18	number	number	NOUN
cana-1242	199	19	m+1	m+1	NUM
cana-1242	199	20	,	,	PUNCT
cana-1242	199	21	merge	merge	VERB
cana-1242	199	22	clusters	cluster	NOUN
cana-1242	199	23	(	(	PUNCT
cana-1242	199	24	r	r	NOUN
cana-1242	199	25	,	,	PUNCT
cana-1242	199	26	s	s	PART
cana-1242	199	27	)	)	PUNCT
cana-1242	199	28	as	as	ADP
cana-1242	199	29	a	a	DET
cana-1242	199	30	new	new	ADJ
cana-1242	199	31	one	one	NUM
cana-1242	199	32	.	.	PUNCT
cana-1242	200	1	communications	communication	NOUN
cana-1242	200	2	on	on	ADP
cana-1242	200	3	applied	apply	VERB
cana-1242	200	4	nonlinear	nonlinear	ADJ
cana-1242	200	5	analysis	analysis	NOUN
cana-1242	200	6	issn	issn	NOUN
cana-1242	200	7	:	:	PUNCT
cana-1242	200	8	1074	1074	NUM
cana-1242	200	9	-	-	PUNCT
cana-1242	200	10	133x	133x	NUM
cana-1242	200	11	vol	vol	NOUN
cana-1242	200	12	31	31	NUM
cana-1242	200	13	no	no	NOUN
cana-1242	200	14	.	.	PUNCT
cana-1242	201	1	6s	6s	NUM
cana-1242	201	2	(	(	PUNCT
cana-1242	201	3	2024	2024	NUM
cana-1242	201	4	)	)	PUNCT
cana-1242	201	5	547	547	NUM
cana-1242	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	201	7	5.4	5.4	NUM
cana-1242	201	8	fix	fix	NOUN
cana-1242	201	9	this	this	DET
cana-1242	201	10	level	level	NOUN
cana-1242	201	11	to	to	ADP
cana-1242	201	12	v(m)=d{cr	v(m)=d{cr	PROPN
cana-1242	201	13	)	)	PUNCT
cana-1242	201	14	,	,	PUNCT
cana-1242	201	15	(	(	PUNCT
cana-1242	201	16	s	s	X
cana-1242	201	17	)	)	PUNCT
cana-1242	201	18	]	]	PUNCT
cana-1242	201	19	5.5	5.5	NUM
cana-1242	201	20	revise	revise	VERB
cana-1242	201	21	the	the	DET
cana-1242	201	22	proximity	proximity	NOUN
cana-1242	201	23	matrix	matrix	NOUN
cana-1242	201	24	t	t	NOUN
cana-1242	201	25	with	with	ADP
cana-1242	201	26	the	the	DET
cana-1242	201	27	new	new	ADJ
cana-1242	201	28	cluster	cluster	NOUN
cana-1242	201	29	(	(	PUNCT
cana-1242	201	30	r	r	NOUN
cana-1242	201	31	,	,	PUNCT
cana-1242	201	32	s	s	PART
cana-1242	201	33	)	)	PUNCT
cana-1242	201	34	and	and	CCONJ
cana-1242	201	35	the	the	DET
cana-1242	201	36	old	old	ADJ
cana-1242	201	37	one	one	NOUN
cana-1242	201	38	(	(	PUNCT
cana-1242	201	39	k	k	NOUN
cana-1242	201	40	)	)	PUNCT
cana-1242	201	41	as	as	ADP
cana-1242	201	42	,	,	PUNCT
cana-1242	201	43	𝑑[(𝑐	𝑑[(𝑐	ADV
cana-1242	201	44	,	,	PUNCT
cana-1242	201	45	𝑠	𝑠	PROPN
cana-1242	201	46	)	)	PUNCT
cana-1242	201	47	,	,	PUNCT
cana-1242	201	48	(	(	PUNCT
cana-1242	201	49	𝑘	𝑘	NOUN
cana-1242	201	50	)	)	PUNCT
cana-1242	201	51	]	]	PUNCT
cana-1242	201	52	=	=	PUNCT
cana-1242	201	53	𝑚𝑎𝑥	𝑚𝑎𝑥	ADJ
cana-1242	201	54	{	{	PUNCT
cana-1242	201	55	𝑑[(𝑘	𝑑[(𝑘	NOUN
cana-1242	201	56	)	)	PUNCT
cana-1242	201	57	,	,	PUNCT
cana-1242	201	58	(	(	PUNCT
cana-1242	201	59	𝑐	𝑐	NOUN
cana-1242	201	60	)	)	PUNCT
cana-1242	201	61	]	]	X
cana-1242	201	62	,	,	PUNCT
cana-1242	201	63	𝑑[(𝑘	𝑑[(𝑘	NOUN
cana-1242	201	64	)	)	PUNCT
cana-1242	201	65	,	,	PUNCT
cana-1242	201	66	(	(	PUNCT
cana-1242	201	67	𝑠	𝑠	NOUN
cana-1242	201	68	)	)	PUNCT
cana-1242	201	69	]	]	PUNCT
cana-1242	201	70	}	}	PUNCT
cana-1242	201	71	5.6	5.6	NUM
cana-1242	201	72	continue	continue	VERB
cana-1242	201	73	from	from	ADP
cana-1242	201	74	5.2	5.2	NUM
cana-1242	201	75	till	till	SCONJ
cana-1242	201	76	the	the	DET
cana-1242	201	77	entire	entire	ADJ
cana-1242	201	78	points	point	NOUN
cana-1242	201	79	in	in	ADP
cana-1242	201	80	the	the	DET
cana-1242	201	81	same	same	ADJ
cana-1242	201	82	cluster	cluster	NOUN
cana-1242	201	83	step	step	NOUN
cana-1242	201	84	6	6	NUM
cana-1242	201	85	visualize	visualize	VERB
cana-1242	201	86	dendrogram	dendrogram	NOUN
cana-1242	201	87	and	and	CCONJ
cana-1242	201	88	apply	apply	VERB
cana-1242	201	89	flat	flat	ADJ
cana-1242	201	90	clustering	clustering	NOUN
cana-1242	201	91	on	on	ADP
cana-1242	201	92	dendrogram	dendrogram	NOUN
cana-1242	201	93	.	.	PUNCT
cana-1242	202	1	6.1	6.1	NUM
cana-1242	202	2	fix	fix	NOUN
cana-1242	202	3	maximum	maximum	ADJ
cana-1242	202	4	threshold	threshold	NOUN
cana-1242	202	5	distance	distance	NOUN
cana-1242	202	6	td	td	NOUN
cana-1242	202	7	randomly	randomly	ADV
cana-1242	202	8	6.2	6.2	NUM
cana-1242	202	9	apply	apply	NOUN
cana-1242	202	10	sum	sum	NOUN
cana-1242	202	11	of	of	ADP
cana-1242	202	12	squares	square	NOUN
cana-1242	202	13	(	(	PUNCT
cana-1242	202	14	sos	sos	PROPN
cana-1242	202	15	)	)	PUNCT
cana-1242	202	16	using	use	VERB
cana-1242	202	17	manhattan	manhattan	PROPN
cana-1242	202	18	distance	distance	NOUN
cana-1242	202	19	6.3	6.3	NUM
cana-1242	202	20	if	if	SCONJ
cana-1242	202	21	𝑆𝑂𝑆	𝑆𝑂𝑆	PRON
cana-1242	202	22	=	=	PUNCT
cana-1242	202	23	∑	∑	PUNCT
cana-1242	202	24	(	(	PUNCT
cana-1242	202	25	𝑥𝑖	𝑥𝑖	ADV
cana-1242	202	26	−	−	PROPN
cana-1242	202	27	𝑥𝑛	𝑥𝑛	PROPN
cana-1242	202	28	𝑖=1	𝑖=1	PROPN
cana-1242	202	29	)	)	PUNCT
cana-1242	202	30	2	2	NUM
cana-1242	202	31	<	<	SYM
cana-1242	202	32	0.4	0.4	NUM
cana-1242	202	33	6.4	6.4	NUM
cana-1242	202	34	stop	stop	NOUN
cana-1242	202	35	,	,	PUNCT
cana-1242	202	36	otherwise	otherwise	ADV
cana-1242	202	37	continue	continue	VERB
cana-1242	202	38	with	with	ADP
cana-1242	202	39	6.1	6.1	NUM
cana-1242	202	40	step	step	NOUN
cana-1242	202	41	7	7	NUM
cana-1242	202	42	assess	assess	NOUN
cana-1242	202	43	cluster	cluster	NOUN
cana-1242	202	44	quality	quality	NOUN
cana-1242	202	45	using	use	VERB
cana-1242	202	46	average	average	NOUN
cana-1242	202	47	within	within	ADP
cana-1242	202	48	cluster	cluster	NOUN
cana-1242	202	49	distance	distance	NOUN
cana-1242	202	50	for	for	ADP
cana-1242	202	51	the	the	DET
cana-1242	202	52	final	final	ADJ
cana-1242	202	53	clusters	cluster	NOUN
cana-1242	202	54	with	with	ADP
cana-1242	202	55	,	,	PUNCT
cana-1242	202	56	∆(𝑆	∆(𝑆	PROPN
cana-1242	202	57	)	)	PUNCT
cana-1242	202	58	=	=	SYM
cana-1242	202	59	1	1	NUM
cana-1242	202	60	|𝑆|	|𝑆|	VERB
cana-1242	202	61	.	.	PUNCT
cana-1242	203	1	(	(	PUNCT
cana-1242	203	2	|𝑆|	|𝑆|	VERB
cana-1242	203	3	−	−	NOUN
cana-1242	203	4	1	1	NUM
cana-1242	203	5	)	)	PUNCT
cana-1242	203	6	∑{𝑑(𝑥	∑{𝑑(𝑥	NOUN
cana-1242	203	7	,	,	PUNCT
cana-1242	203	8	𝑦	𝑦	NOUN
cana-1242	203	9	)	)	PUNCT
cana-1242	203	10	}	}	PUNCT
cana-1242	203	11	𝑥,𝑦	𝑥,𝑦	ADP
cana-1242	203	12	𝑥≠𝑦	𝑥≠𝑦	VERB
cana-1242	203	13	5	5	NUM
cana-1242	203	14	.	.	X
cana-1242	203	15	implementation	implementation	NOUN
cana-1242	203	16	,	,	PUNCT
cana-1242	203	17	results	result	NOUN
cana-1242	203	18	and	and	CCONJ
cana-1242	203	19	discussion	discussion	VERB
cana-1242	203	20	the	the	DET
cana-1242	203	21	transaction	transaction	NOUN
cana-1242	203	22	datasets	dataset	NOUN
cana-1242	203	23	to	to	PART
cana-1242	203	24	experiment	experiment	VERB
cana-1242	203	25	this	this	DET
cana-1242	203	26	proposed	propose	VERB
cana-1242	203	27	method	method	NOUN
cana-1242	203	28	is	be	AUX
cana-1242	203	29	taken	take	VERB
cana-1242	203	30	from	from	ADP
cana-1242	203	31	uci	uci	PROPN
cana-1242	203	32	,	,	PUNCT
cana-1242	203	33	and	and	CCONJ
cana-1242	203	34	kaggle	kaggle	ADJ
cana-1242	203	35	repositories	repository	NOUN
cana-1242	203	36	.	.	PUNCT
cana-1242	204	1	the	the	DET
cana-1242	204	2	experimental	experimental	ADJ
cana-1242	204	3	research	research	NOUN
cana-1242	204	4	is	be	AUX
cana-1242	204	5	implemented	implement	VERB
cana-1242	204	6	in	in	ADP
cana-1242	204	7	rapid	rapid	ADJ
cana-1242	204	8	miner	miner	NOUN
cana-1242	204	9	tool	tool	NOUN
cana-1242	204	10	.	.	PUNCT
cana-1242	205	1	5.1	5.1	NUM
cana-1242	205	2	dataset	dataset	NOUN
cana-1242	205	3	superstore	superstore	NOUN
cana-1242	205	4	sales	sale	NOUN
cana-1242	205	5	analysis	analysis	NOUN
cana-1242	205	6	(	(	PUNCT
cana-1242	205	7	sso	sso	NOUN
cana-1242	205	8	)	)	PUNCT
cana-1242	205	9	it	it	PRON
cana-1242	205	10	consists	consist	VERB
cana-1242	205	11	of	of	ADP
cana-1242	205	12	21	21	NUM
cana-1242	205	13	attributes	attribute	NOUN
cana-1242	205	14	,	,	PUNCT
cana-1242	205	15	and	and	CCONJ
cana-1242	205	16	9988	9988	NUM
cana-1242	205	17	instances	instance	NOUN
cana-1242	205	18	.	.	PUNCT
cana-1242	206	1	there	there	PRON
cana-1242	206	2	are	be	VERB
cana-1242	206	3	three	three	NUM
cana-1242	206	4	numeric	numeric	ADJ
cana-1242	206	5	attributes	attribute	NOUN
cana-1242	206	6	such	such	ADJ
cana-1242	206	7	as	as	ADP
cana-1242	206	8	sales	sale	NOUN
cana-1242	206	9	,	,	PUNCT
cana-1242	206	10	quantity	quantity	NOUN
cana-1242	206	11	,	,	PUNCT
cana-1242	206	12	year	year	NOUN
cana-1242	206	13	,	,	PUNCT
cana-1242	206	14	two	two	NUM
cana-1242	206	15	alphanumeric	alphanumeric	ADJ
cana-1242	206	16	attributes	attribute	NOUN
cana-1242	206	17	order	order	NOUN
cana-1242	206	18	i	i	PRON
cana-1242	206	19	d	d	PROPN
cana-1242	206	20	,	,	PUNCT
cana-1242	206	21	product	product	NOUN
cana-1242	206	22	i	i	PROPN
cana-1242	206	23	d	d	PROPN
cana-1242	206	24	,	,	PUNCT
cana-1242	206	25	two	two	NUM
cana-1242	206	26	date	date	NOUN
cana-1242	206	27	attributes	attribute	VERB
cana-1242	206	28	such	such	ADJ
cana-1242	206	29	as	as	ADP
cana-1242	206	30	order	order	NOUN
cana-1242	206	31	date	date	NOUN
cana-1242	206	32	,	,	PUNCT
cana-1242	206	33	ship	ship	NOUN
cana-1242	206	34	date	date	NOUN
cana-1242	206	35	,	,	PUNCT
cana-1242	206	36	eleven	eleven	NUM
cana-1242	206	37	categorical	categorical	ADJ
cana-1242	206	38	attributes	attribute	NOUN
cana-1242	206	39	such	such	ADJ
cana-1242	206	40	as	as	ADP
cana-1242	206	41	ship	ship	NOUN
cana-1242	206	42	mode	mode	NOUN
cana-1242	206	43	,	,	PUNCT
cana-1242	206	44	customer	customer	NOUN
cana-1242	206	45	name	name	NOUN
cana-1242	206	46	,	,	PUNCT
cana-1242	206	47	segment	segment	NOUN
cana-1242	206	48	,	,	PUNCT
cana-1242	206	49	state	state	NOUN
cana-1242	206	50	,	,	PUNCT
cana-1242	206	51	country	country	NOUN
cana-1242	206	52	,	,	PUNCT
cana-1242	206	53	market	market	NOUN
cana-1242	206	54	,	,	PUNCT
cana-1242	206	55	region	region	NOUN
cana-1242	206	56	,	,	PUNCT
cana-1242	206	57	category	category	NOUN
cana-1242	206	58	,	,	PUNCT
cana-1242	206	59	sub	sub	NOUN
cana-1242	206	60	category	category	NOUN
cana-1242	206	61	,	,	PUNCT
cana-1242	206	62	product	product	NOUN
cana-1242	206	63	name	name	NOUN
cana-1242	206	64	and	and	CCONJ
cana-1242	206	65	order	order	NOUN
cana-1242	206	66	priority	priority	NOUN
cana-1242	206	67	.	.	PUNCT
cana-1242	207	1	the	the	DET
cana-1242	207	2	attributes	attribute	NOUN
cana-1242	207	3	taken	take	VERB
cana-1242	207	4	to	to	PART
cana-1242	207	5	create	create	VERB
cana-1242	207	6	pivot	pivot	NOUN
cana-1242	207	7	table	table	NOUN
cana-1242	207	8	are	be	AUX
cana-1242	207	9	product	product	NOUN
cana-1242	207	10	i	i	PROPN
cana-1242	207	11	d	d	PROPN
cana-1242	207	12	,	,	PUNCT
cana-1242	207	13	category	category	NOUN
cana-1242	207	14	and	and	CCONJ
cana-1242	207	15	these	these	DET
cana-1242	207	16	two	two	NUM
cana-1242	207	17	are	be	AUX
cana-1242	207	18	aggregated	aggregate	VERB
cana-1242	207	19	with	with	ADP
cana-1242	207	20	the	the	DET
cana-1242	207	21	attribute	attribute	NOUN
cana-1242	207	22	quantity	quantity	NOUN
cana-1242	207	23	using	use	VERB
cana-1242	207	24	the	the	DET
cana-1242	207	25	mathematical	mathematical	ADJ
cana-1242	207	26	function	function	NOUN
cana-1242	207	27	count	count	NOUN
cana-1242	207	28	.	.	PUNCT
cana-1242	208	1	5.2	5.2	NUM
cana-1242	208	2	clustered	clustered	ADJ
cana-1242	208	3	results	result	NOUN
cana-1242	208	4	in	in	ADP
cana-1242	208	5	order	order	NOUN
cana-1242	208	6	to	to	PART
cana-1242	208	7	handle	handle	VERB
cana-1242	208	8	memory	memory	NOUN
cana-1242	208	9	and	and	CCONJ
cana-1242	208	10	time	time	NOUN
cana-1242	208	11	management	management	NOUN
cana-1242	208	12	while	while	SCONJ
cana-1242	208	13	using	use	VERB
cana-1242	208	14	hierarchical	hierarchical	ADJ
cana-1242	208	15	clustering	clustering	NOUN
cana-1242	208	16	the	the	DET
cana-1242	208	17	dataset	dataset	NOUN
cana-1242	208	18	is	be	AUX
cana-1242	208	19	split	split	VERB
cana-1242	208	20	into	into	ADP
cana-1242	208	21	ratio	ratio	NOUN
cana-1242	208	22	and	and	CCONJ
cana-1242	208	23	the	the	DET
cana-1242	208	24	proposed	propose	VERB
cana-1242	208	25	hierarchical	hierarchical	ADJ
cana-1242	208	26	flat	flat	ADJ
cana-1242	208	27	clustering	clustering	NOUN
cana-1242	208	28	methodology	methodology	NOUN
cana-1242	208	29	is	be	AUX
cana-1242	208	30	implemented	implement	VERB
cana-1242	208	31	in	in	ADP
cana-1242	208	32	serial	serial	ADJ
cana-1242	208	33	execution	execution	NOUN
cana-1242	208	34	.	.	PUNCT
cana-1242	209	1	for	for	ADP
cana-1242	209	2	the	the	DET
cana-1242	209	3	total	total	ADJ
cana-1242	209	4	samples	sample	NOUN
cana-1242	209	5	9988	9988	NUM
cana-1242	209	6	,	,	PUNCT
cana-1242	209	7	the	the	DET
cana-1242	209	8	ratio	ratio	NOUN
cana-1242	209	9	is	be	AUX
cana-1242	209	10	fixed	fix	VERB
cana-1242	209	11	as	as	SCONJ
cana-1242	209	12	0.2	0.2	NUM
cana-1242	209	13	and	and	CCONJ
cana-1242	209	14	five	five	NUM
cana-1242	209	15	sets	set	NOUN
cana-1242	209	16	of	of	ADP
cana-1242	209	17	data	datum	NOUN
cana-1242	209	18	is	be	AUX
cana-1242	209	19	generated	generate	VERB
cana-1242	209	20	.	.	PUNCT
cana-1242	210	1	in	in	ADP
cana-1242	210	2	table	table	NOUN
cana-1242	210	3	3	3	NUM
cana-1242	210	4	,	,	PUNCT
cana-1242	210	5	the	the	DET
cana-1242	210	6	number	number	NOUN
cana-1242	210	7	of	of	ADP
cana-1242	210	8	samples	sample	NOUN
cana-1242	210	9	in	in	ADP
cana-1242	210	10	each	each	DET
cana-1242	210	11	split	split	NOUN
cana-1242	210	12	,	,	PUNCT
cana-1242	210	13	number	number	NOUN
cana-1242	210	14	of	of	ADP
cana-1242	210	15	cluster	cluster	NOUN
cana-1242	210	16	formed	form	VERB
cana-1242	210	17	for	for	ADP
cana-1242	210	18	the	the	DET
cana-1242	210	19	hierarchical	hierarchical	ADJ
cana-1242	210	20	method	method	NOUN
cana-1242	210	21	and	and	CCONJ
cana-1242	210	22	the	the	DET
cana-1242	210	23	flat	flat	ADJ
cana-1242	210	24	clustering	clustering	NOUN
cana-1242	210	25	method	method	NOUN
cana-1242	210	26	is	be	AUX
cana-1242	210	27	listed	list	VERB
cana-1242	210	28	.	.	PUNCT
cana-1242	211	1	the	the	DET
cana-1242	211	2	cluster	cluster	NOUN
cana-1242	211	3	numbers	number	NOUN
cana-1242	211	4	varies	vary	VERB
cana-1242	211	5	as	as	SCONJ
cana-1242	211	6	it	it	PRON
cana-1242	211	7	depends	depend	VERB
cana-1242	211	8	on	on	ADP
cana-1242	211	9	the	the	DET
cana-1242	211	10	samples	sample	NOUN
cana-1242	211	11	(	(	PUNCT
cana-1242	211	12	data	data	NOUN
cana-1242	211	13	points	point	NOUN
cana-1242	211	14	)	)	PUNCT
cana-1242	211	15	.	.	PUNCT
cana-1242	212	1	communications	communication	NOUN
cana-1242	212	2	on	on	ADP
cana-1242	212	3	applied	apply	VERB
cana-1242	212	4	nonlinear	nonlinear	ADJ
cana-1242	212	5	analysis	analysis	NOUN
cana-1242	212	6	issn	issn	NOUN
cana-1242	212	7	:	:	PUNCT
cana-1242	212	8	1074	1074	NUM
cana-1242	212	9	-	-	PUNCT
cana-1242	212	10	133x	133x	NUM
cana-1242	212	11	vol	vol	NOUN
cana-1242	212	12	31	31	NUM
cana-1242	212	13	no	no	NOUN
cana-1242	212	14	.	.	PUNCT
cana-1242	213	1	6s	6s	NUM
cana-1242	213	2	(	(	PUNCT
cana-1242	213	3	2024	2024	NUM
cana-1242	213	4	)	)	PUNCT
cana-1242	213	5	548	548	NUM
cana-1242	213	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	213	7	table	table	NOUN
cana-1242	213	8	3	3	NUM
cana-1242	213	9	.	.	X
cana-1242	213	10	number	number	NOUN
cana-1242	213	11	of	of	ADP
cana-1242	213	12	clusters	cluster	NOUN
cana-1242	213	13	sample	sample	NOUN
cana-1242	213	14	subset	subset	VERB
cana-1242	213	15	samples	sample	NOUN
cana-1242	213	16	with	with	ADP
cana-1242	213	17	0.2	0.2	NUM
cana-1242	213	18	ratio	ratio	NOUN
cana-1242	213	19	number	number	NOUN
cana-1242	213	20	of	of	ADP
cana-1242	213	21	clusters	cluster	NOUN
cana-1242	213	22	existing	exist	VERB
cana-1242	213	23	hac	hac	NOUN
cana-1242	213	24	proposed	propose	VERB
cana-1242	213	25	fphac	fphac	NOUN
cana-1242	213	26	subset	subset	VERB
cana-1242	213	27	1	1	NUM
cana-1242	213	28	1996	1996	NUM
cana-1242	213	29	3991	3991	NUM
cana-1242	213	30	7	7	NUM
cana-1242	213	31	subset	subset	NOUN
cana-1242	213	32	2	2	NUM
cana-1242	213	33	1997	1997	NUM
cana-1242	213	34	3995	3995	NUM
cana-1242	213	35	7	7	NUM
cana-1242	213	36	subset	subset	VERB
cana-1242	213	37	3	3	NUM
cana-1242	213	38	1996	1996	NUM
cana-1242	213	39	3988	3988	NUM
cana-1242	213	40	7	7	NUM
cana-1242	213	41	subset	subset	VERB
cana-1242	213	42	4	4	NUM
cana-1242	213	43	1997	1997	NUM
cana-1242	213	44	3998	3998	NUM
cana-1242	213	45	5	5	NUM
cana-1242	213	46	subset	subset	VERB
cana-1242	213	47	5	5	NUM
cana-1242	213	48	1996	1996	NUM
cana-1242	213	49	3985	3985	NUM
cana-1242	213	50	8	8	NUM
cana-1242	213	51	in	in	ADP
cana-1242	213	52	order	order	NOUN
cana-1242	213	53	to	to	PART
cana-1242	213	54	handle	handle	VERB
cana-1242	213	55	memory	memory	NOUN
cana-1242	213	56	and	and	CCONJ
cana-1242	213	57	time	time	NOUN
cana-1242	213	58	management	management	NOUN
cana-1242	213	59	while	while	SCONJ
cana-1242	213	60	using	use	VERB
cana-1242	213	61	hierarchical	hierarchical	ADJ
cana-1242	213	62	clustering	clustering	NOUN
cana-1242	213	63	the	the	DET
cana-1242	213	64	dataset	dataset	NOUN
cana-1242	213	65	is	be	AUX
cana-1242	213	66	split	split	VERB
cana-1242	213	67	into	into	ADP
cana-1242	213	68	subset	subset	NOUN
cana-1242	213	69	with	with	ADP
cana-1242	213	70	ratio	ratio	NOUN
cana-1242	213	71	and	and	CCONJ
cana-1242	213	72	the	the	DET
cana-1242	213	73	proposed	propose	VERB
cana-1242	213	74	hierarchical	hierarchical	ADJ
cana-1242	213	75	flat	flat	ADJ
cana-1242	213	76	clustering	clustering	NOUN
cana-1242	213	77	methodology	methodology	NOUN
cana-1242	213	78	fphac	fphac	NOUN
cana-1242	213	79	is	be	AUX
cana-1242	213	80	implemented	implement	VERB
cana-1242	213	81	in	in	ADP
cana-1242	213	82	serial	serial	ADJ
cana-1242	213	83	execution	execution	NOUN
cana-1242	213	84	.	.	PUNCT
cana-1242	214	1	for	for	ADP
cana-1242	214	2	the	the	DET
cana-1242	214	3	total	total	ADJ
cana-1242	214	4	samples	sample	NOUN
cana-1242	214	5	9988	9988	NUM
cana-1242	214	6	,	,	PUNCT
cana-1242	214	7	the	the	DET
cana-1242	214	8	ratio	ratio	NOUN
cana-1242	214	9	is	be	AUX
cana-1242	214	10	fixed	fix	VERB
cana-1242	214	11	as	as	SCONJ
cana-1242	214	12	0.2	0.2	NUM
cana-1242	214	13	and	and	CCONJ
cana-1242	214	14	five	five	NUM
cana-1242	214	15	sets	set	NOUN
cana-1242	214	16	of	of	ADP
cana-1242	214	17	data	datum	NOUN
cana-1242	214	18	is	be	AUX
cana-1242	214	19	generated	generate	VERB
cana-1242	214	20	.	.	PUNCT
cana-1242	215	1	in	in	ADP
cana-1242	215	2	table	table	NOUN
cana-1242	215	3	4	4	NUM
cana-1242	215	4	,	,	PUNCT
cana-1242	215	5	flat	flat	ADJ
cana-1242	215	6	threshold	threshold	NOUN
cana-1242	215	7	distance	distance	NOUN
cana-1242	215	8	with	with	ADP
cana-1242	215	9	sum	sum	NOUN
cana-1242	215	10	of	of	ADP
cana-1242	215	11	square	square	ADJ
cana-1242	215	12	values	value	NOUN
cana-1242	215	13	,	,	PUNCT
cana-1242	215	14	cluster	cluster	NOUN
cana-1242	215	15	density	density	NOUN
cana-1242	215	16	(	(	PUNCT
cana-1242	215	17	average	average	ADJ
cana-1242	215	18	within	within	ADP
cana-1242	215	19	cluster	cluster	NOUN
cana-1242	215	20	distance	distance	NOUN
cana-1242	215	21	)	)	PUNCT
cana-1242	215	22	is	be	AUX
cana-1242	215	23	listed	list	VERB
cana-1242	215	24	.	.	PUNCT
cana-1242	216	1	these	these	DET
cana-1242	216	2	values	value	NOUN
cana-1242	216	3	solely	solely	ADV
cana-1242	216	4	depends	depend	VERB
cana-1242	216	5	the	the	DET
cana-1242	216	6	samples	sample	NOUN
cana-1242	216	7	in	in	ADP
cana-1242	216	8	each	each	DET
cana-1242	216	9	set	set	NOUN
cana-1242	216	10	.	.	PUNCT
cana-1242	217	1	table	table	NOUN
cana-1242	217	2	4	4	NUM
cana-1242	217	3	.	.	X
cana-1242	217	4	flat	flat	ADJ
cana-1242	217	5	distance	distance	NOUN
cana-1242	217	6	threshold	threshold	NOUN
cana-1242	217	7	value	value	NOUN
cana-1242	217	8	sample	sample	NOUN
cana-1242	217	9	subset	subset	VERB
cana-1242	217	10	flat	flat	ADJ
cana-1242	217	11	distance	distance	NOUN
cana-1242	217	12	threshold	threshold	NOUN
cana-1242	217	13	value	value	NOUN
cana-1242	217	14	sos	sos	PROPN
cana-1242	217	15	cluster	cluster	NOUN
cana-1242	217	16	density	density	NOUN
cana-1242	217	17	subset	subset	VERB
cana-1242	217	18	1	1	NUM
cana-1242	217	19	0.4	0.4	NUM
cana-1242	217	20	0.25	0.25	NUM
cana-1242	217	21	73.03	73.03	NUM
cana-1242	217	22	subset	subset	NOUN
cana-1242	217	23	2	2	NUM
cana-1242	217	24	0.5	0.5	NUM
cana-1242	217	25	0.39	0.39	NUM
cana-1242	217	26	86.56	86.56	NUM
cana-1242	217	27	subset	subset	VERB
cana-1242	217	28	3	3	NUM
cana-1242	217	29	0.5	0.5	NUM
cana-1242	217	30	0.28	0.28	NUM
cana-1242	217	31	81.39	81.39	NUM
cana-1242	217	32	subset	subset	VERB
cana-1242	217	33	4	4	NUM
cana-1242	217	34	0.6	0.6	NUM
cana-1242	217	35	0.39	0.39	NUM
cana-1242	217	36	109.11	109.11	NUM
cana-1242	217	37	subset	subset	VERB
cana-1242	217	38	5	5	NUM
cana-1242	217	39	0.6	0.6	NUM
cana-1242	217	40	0.21	0.21	NUM
cana-1242	217	41	129.41	129.41	NUM
cana-1242	217	42	average	average	NOUN
cana-1242	217	43	0.31	0.31	NUM
cana-1242	217	44	479.50	479.50	NUM
cana-1242	217	45	5.3	5.3	NUM
cana-1242	217	46	performance	performance	NOUN
cana-1242	217	47	measures	measure	NOUN
cana-1242	217	48	sum	sum	NOUN
cana-1242	217	49	of	of	ADP
cana-1242	217	50	squares	square	NOUN
cana-1242	217	51	–	–	PUNCT
cana-1242	217	52	measures	measure	VERB
cana-1242	217	53	the	the	DET
cana-1242	217	54	deviation	deviation	NOUN
cana-1242	217	55	of	of	ADP
cana-1242	217	56	data	datum	NOUN
cana-1242	217	57	points	point	NOUN
cana-1242	217	58	in	in	ADP
cana-1242	217	59	a	a	DET
cana-1242	217	60	group	group	NOUN
cana-1242	217	61	.	.	PUNCT
cana-1242	218	1	a	a	DET
cana-1242	218	2	less	less	ADJ
cana-1242	218	3	sum	sum	NOUN
cana-1242	218	4	of	of	ADP
cana-1242	218	5	squares	square	NOUN
cana-1242	218	6	implies	imply	VERB
cana-1242	218	7	a	a	DET
cana-1242	218	8	good	good	ADJ
cana-1242	218	9	model	model	NOUN
cana-1242	218	10	.	.	PUNCT
cana-1242	219	1	cluster	cluster	NOUN
cana-1242	219	2	density	density	NOUN
cana-1242	219	3	(	(	PUNCT
cana-1242	219	4	average	average	ADJ
cana-1242	219	5	within	within	ADP
cana-1242	219	6	cluster	cluster	NOUN
cana-1242	219	7	distance	distance	NOUN
cana-1242	219	8	)	)	PUNCT
cana-1242	219	9	–	–	PUNCT
cana-1242	219	10	averages	average	VERB
cana-1242	219	11	all	all	DET
cana-1242	219	12	the	the	DET
cana-1242	219	13	distances	distance	NOUN
cana-1242	219	14	between	between	ADP
cana-1242	219	15	each	each	DET
cana-1242	219	16	pair	pair	NOUN
cana-1242	219	17	of	of	ADP
cana-1242	219	18	samples	sample	NOUN
cana-1242	219	19	in	in	ADP
cana-1242	219	20	an	an	DET
cana-1242	219	21	individual	individual	ADJ
cana-1242	219	22	cluster	cluster	NOUN
cana-1242	219	23	.	.	PUNCT
cana-1242	220	1	then	then	ADV
cana-1242	220	2	calculate	calculate	VERB
cana-1242	220	3	the	the	DET
cana-1242	220	4	average	average	NOUN
cana-1242	220	5	of	of	ADP
cana-1242	220	6	all	all	DET
cana-1242	220	7	the	the	DET
cana-1242	220	8	clusters	cluster	NOUN
cana-1242	220	9	.	.	PUNCT
cana-1242	221	1	the	the	DET
cana-1242	221	2	smaller	small	ADJ
cana-1242	221	3	the	the	DET
cana-1242	221	4	distance	distance	NOUN
cana-1242	221	5	the	the	PRON
cana-1242	221	6	higher	high	ADJ
cana-1242	221	7	the	the	DET
cana-1242	221	8	similarity	similarity	NOUN
cana-1242	221	9	of	of	ADP
cana-1242	221	10	data	datum	NOUN
cana-1242	221	11	points	point	NOUN
cana-1242	221	12	in	in	ADP
cana-1242	221	13	a	a	DET
cana-1242	221	14	cluster	cluster	NOUN
cana-1242	221	15	.	.	PUNCT
cana-1242	222	1	processing	processing	NOUN
cana-1242	222	2	time	time	NOUN
cana-1242	222	3	–	–	PUNCT
cana-1242	222	4	the	the	DET
cana-1242	222	5	running	running	ADJ
cana-1242	222	6	time	time	NOUN
cana-1242	222	7	of	of	ADP
cana-1242	222	8	the	the	DET
cana-1242	222	9	proposed	propose	VERB
cana-1242	222	10	method	method	NOUN
cana-1242	222	11	measured	measure	VERB
cana-1242	222	12	in	in	ADP
cana-1242	222	13	seconds	second	NOUN
cana-1242	222	14	.	.	PUNCT
cana-1242	223	1	table	table	NOUN
cana-1242	223	2	5	5	NUM
cana-1242	223	3	,	,	PUNCT
cana-1242	223	4	shows	show	VERB
cana-1242	223	5	the	the	DET
cana-1242	223	6	sos	sos	NOUN
cana-1242	223	7	and	and	CCONJ
cana-1242	223	8	cluster	cluster	NOUN
cana-1242	223	9	density	density	NOUN
cana-1242	223	10	values	value	NOUN
cana-1242	223	11	for	for	ADP
cana-1242	223	12	the	the	DET
cana-1242	223	13	existing	exist	VERB
cana-1242	223	14	methods	method	NOUN
cana-1242	223	15	namely	namely	ADV
cana-1242	223	16	hac	hac	VERB
cana-1242	223	17	,	,	PUNCT
cana-1242	223	18	hdbscan	hdbscan	PROPN
cana-1242	223	19	,	,	PUNCT
cana-1242	223	20	pri	pri	PROPN
cana-1242	223	21	-	-	PUNCT
cana-1242	223	22	mfc	mfc	NOUN
cana-1242	223	23	and	and	CCONJ
cana-1242	223	24	the	the	DET
cana-1242	223	25	proposed	propose	VERB
cana-1242	223	26	method	method	NOUN
cana-1242	223	27	fphac	fphac	NOUN
cana-1242	223	28	.	.	PUNCT
cana-1242	224	1	all	all	DET
cana-1242	224	2	the	the	DET
cana-1242	224	3	methods	method	NOUN
cana-1242	224	4	are	be	AUX
cana-1242	224	5	the	the	DET
cana-1242	224	6	improvements	improvement	NOUN
cana-1242	224	7	of	of	ADP
cana-1242	224	8	hierarchical	hierarchical	ADJ
cana-1242	224	9	clustering	clustering	NOUN
cana-1242	224	10	.	.	PUNCT
cana-1242	225	1	the	the	DET
cana-1242	225	2	experimental	experimental	ADJ
cana-1242	225	3	results	result	NOUN
cana-1242	225	4	shows	show	VERB
cana-1242	225	5	that	that	SCONJ
cana-1242	225	6	the	the	DET
cana-1242	225	7	proposed	propose	VERB
cana-1242	225	8	method	method	NOUN
cana-1242	225	9	has	have	VERB
cana-1242	225	10	less	less	ADJ
cana-1242	225	11	sos	sos	NOUN
cana-1242	225	12	value	value	NOUN
cana-1242	225	13	communications	communication	NOUN
cana-1242	225	14	on	on	ADP
cana-1242	225	15	applied	apply	VERB
cana-1242	225	16	nonlinear	nonlinear	ADJ
cana-1242	225	17	analysis	analysis	NOUN
cana-1242	225	18	issn	issn	NOUN
cana-1242	225	19	:	:	PUNCT
cana-1242	225	20	1074	1074	NUM
cana-1242	225	21	-	-	PUNCT
cana-1242	225	22	133x	133x	NUM
cana-1242	225	23	vol	vol	NOUN
cana-1242	225	24	31	31	NUM
cana-1242	225	25	no	no	NOUN
cana-1242	225	26	.	.	PUNCT
cana-1242	226	1	6s	6s	NUM
cana-1242	226	2	(	(	PUNCT
cana-1242	226	3	2024	2024	NUM
cana-1242	226	4	)	)	PUNCT
cana-1242	226	5	549	549	NUM
cana-1242	226	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	226	7	0.31	0.31	NUM
cana-1242	226	8	and	and	CCONJ
cana-1242	226	9	cluster	cluster	NOUN
cana-1242	226	10	density	density	NOUN
cana-1242	226	11	value	value	NOUN
cana-1242	226	12	479.5	479.5	NUM
cana-1242	226	13	that	that	PRON
cana-1242	226	14	implies	imply	VERB
cana-1242	226	15	the	the	DET
cana-1242	226	16	objects	object	NOUN
cana-1242	226	17	in	in	ADP
cana-1242	226	18	the	the	DET
cana-1242	226	19	proposed	propose	VERB
cana-1242	226	20	method	method	NOUN
cana-1242	226	21	clusters	cluster	NOUN
cana-1242	226	22	are	be	AUX
cana-1242	226	23	closer	close	ADJ
cana-1242	226	24	than	than	ADP
cana-1242	226	25	the	the	DET
cana-1242	226	26	existing	exist	VERB
cana-1242	226	27	.	.	PUNCT
cana-1242	226	28	table	table	NOUN
cana-1242	227	1	5	5	NUM
cana-1242	227	2	.	.	PUNCT
cana-1242	227	3	comparison	comparison	NOUN
cana-1242	227	4	of	of	ADP
cana-1242	227	5	existing	exist	VERB
cana-1242	227	6	versus	versus	ADP
cana-1242	227	7	proposed	propose	VERB
cana-1242	227	8	methods	method	NOUN
cana-1242	227	9	methods	method	NOUN
cana-1242	227	10	sos	sos	PROPN
cana-1242	227	11	cluster	cluster	NOUN
cana-1242	227	12	density	density	NOUN
cana-1242	227	13	processing	processing	NOUN
cana-1242	227	14	time	time	NOUN
cana-1242	227	15	(	(	PUNCT
cana-1242	227	16	in	in	ADP
cana-1242	227	17	milliseconds	millisecond	NOUN
cana-1242	227	18	)	)	PUNCT
cana-1242	227	19	existing	exist	VERB
cana-1242	227	20	hac	hac	NOUN
cana-1242	227	21	0.61	0.61	NUM
cana-1242	227	22	728.2	728.2	NUM
cana-1242	227	23	1440000	1440000	NUM
cana-1242	227	24	existing	exist	VERB
cana-1242	227	25	hdbscan	hdbscan	NOUN
cana-1242	227	26	0.49	0.49	NUM
cana-1242	227	27	592.6	592.6	NUM
cana-1242	227	28	1455000	1455000	NUM
cana-1242	227	29	existing	exist	VERB
cana-1242	227	30	pri	pri	NOUN
cana-1242	227	31	-	-	PUNCT
cana-1242	227	32	mfc	mfc	NOUN
cana-1242	227	33	0.57	0.57	NUM
cana-1242	227	34	621.3	621.3	NUM
cana-1242	227	35	955000	955000	NUM
cana-1242	227	36	proposed	propose	VERB
cana-1242	227	37	fphac	fphac	NOUN
cana-1242	227	38	0.31	0.31	NUM
cana-1242	227	39	479.5	479.5	NUM
cana-1242	227	40	300000	300000	NUM
cana-1242	227	41	figure	figure	NOUN
cana-1242	227	42	3	3	NUM
cana-1242	227	43	.	.	PUNCT
cana-1242	228	1	sos	sos	PROPN
cana-1242	228	2	comparison	comparison	PROPN
cana-1242	228	3	graph	graph	NOUN
cana-1242	228	4	fig	fig	NOUN
cana-1242	228	5	.	.	PUNCT
cana-1242	229	1	3	3	NUM
cana-1242	229	2	,	,	PUNCT
cana-1242	229	3	shows	show	VERB
cana-1242	229	4	that	that	SCONJ
cana-1242	229	5	the	the	DET
cana-1242	229	6	proposed	propose	VERB
cana-1242	229	7	method	method	NOUN
cana-1242	229	8	fphac	fphac	NOUN
cana-1242	229	9	is	be	AUX
cana-1242	229	10	0.3	0.3	NUM
cana-1242	229	11	less	less	ADV
cana-1242	229	12	sos	sos	NOUN
cana-1242	229	13	value	value	NOUN
cana-1242	229	14	than	than	ADP
cana-1242	229	15	hac	hac	PROPN
cana-1242	229	16	,	,	PUNCT
cana-1242	229	17	0.18	0.18	NUM
cana-1242	229	18	less	less	ADJ
cana-1242	229	19	than	than	ADP
cana-1242	229	20	hdbscan	hdbscan	PROPN
cana-1242	229	21	,	,	PUNCT
cana-1242	229	22	0.26	0.26	NUM
cana-1242	229	23	less	less	ADJ
cana-1242	229	24	than	than	ADP
cana-1242	229	25	pri	pri	PROPN
cana-1242	229	26	-	-	PUNCT
cana-1242	229	27	mfc	mfc	NOUN
cana-1242	229	28	and	and	CCONJ
cana-1242	229	29	thereby	thereby	ADV
cana-1242	229	30	proves	prove	VERB
cana-1242	229	31	the	the	DET
cana-1242	229	32	efficiency	efficiency	NOUN
cana-1242	229	33	.	.	PUNCT
cana-1242	230	1	figure	figure	VERB
cana-1242	230	2	4	4	NUM
cana-1242	230	3	.	.	PUNCT
cana-1242	230	4	cluster	cluster	NOUN
cana-1242	230	5	density	density	NOUN
cana-1242	230	6	comparison	comparison	NOUN
cana-1242	230	7	graph	graph	NOUN
cana-1242	230	8	0	0	NUM
cana-1242	230	9	0.2	0.2	NUM
cana-1242	230	10	0.4	0.4	NUM
cana-1242	230	11	0.6	0.6	NUM
cana-1242	230	12	0.8	0.8	NUM
cana-1242	230	13	sos	sos	PROPN
cana-1242	230	14	sos	sos	PROPN
cana-1242	230	15	hac	hac	PROPN
cana-1242	230	16	hdbscan	hdbscan	PROPN
cana-1242	230	17	pri	pri	PROPN
cana-1242	230	18	-	-	ADJ
cana-1242	230	19	mfc	mfc	PROPN
cana-1242	230	20	fphac	fphac	NOUN
cana-1242	230	21	0	0	NUM
cana-1242	230	22	200	200	NUM
cana-1242	230	23	400	400	NUM
cana-1242	230	24	600	600	NUM
cana-1242	230	25	800	800	NUM
cana-1242	230	26	cluster	cluster	NOUN
cana-1242	230	27	density	density	NOUN
cana-1242	230	28	cluster	cluster	NOUN
cana-1242	230	29	density	density	NOUN
cana-1242	230	30	hac	hac	X
cana-1242	230	31	hdbscan	hdbscan	NOUN
cana-1242	230	32	pri	pri	PROPN
cana-1242	230	33	-	-	ADJ
cana-1242	230	34	mfc	mfc	PROPN
cana-1242	230	35	fphac	fphac	NOUN
cana-1242	230	36	communications	communication	NOUN
cana-1242	230	37	on	on	ADP
cana-1242	230	38	applied	apply	VERB
cana-1242	230	39	nonlinear	nonlinear	ADJ
cana-1242	230	40	analysis	analysis	NOUN
cana-1242	230	41	issn	issn	NOUN
cana-1242	230	42	:	:	PUNCT
cana-1242	230	43	1074	1074	NUM
cana-1242	230	44	-	-	PUNCT
cana-1242	230	45	133x	133x	NUM
cana-1242	230	46	vol	vol	NOUN
cana-1242	230	47	31	31	NUM
cana-1242	230	48	no	no	NOUN
cana-1242	230	49	.	.	PUNCT
cana-1242	231	1	6s	6s	NUM
cana-1242	231	2	(	(	PUNCT
cana-1242	231	3	2024	2024	NUM
cana-1242	231	4	)	)	PUNCT
cana-1242	231	5	550	550	NUM
cana-1242	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	231	7	fig	fig	NOUN
cana-1242	231	8	.	.	PUNCT
cana-1242	232	1	4	4	X
cana-1242	232	2	.	.	X
cana-1242	232	3	shows	show	VERB
cana-1242	232	4	the	the	DET
cana-1242	232	5	cluster	cluster	NOUN
cana-1242	232	6	density	density	NOUN
cana-1242	232	7	in	in	ADP
cana-1242	232	8	terms	term	NOUN
cana-1242	232	9	of	of	ADP
cana-1242	232	10	average	average	ADJ
cana-1242	232	11	within	within	ADP
cana-1242	232	12	cluster	cluster	NOUN
cana-1242	232	13	distance	distance	NOUN
cana-1242	232	14	values	value	NOUN
cana-1242	232	15	.	.	PUNCT
cana-1242	233	1	the	the	DET
cana-1242	233	2	proposed	propose	VERB
cana-1242	233	3	method	method	NOUN
cana-1242	233	4	fphac	fphac	NOUN
cana-1242	233	5	is	be	AUX
cana-1242	233	6	248.7	248.7	NUM
cana-1242	233	7	less	less	ADJ
cana-1242	233	8	value	value	NOUN
cana-1242	233	9	than	than	ADP
cana-1242	233	10	hac	hac	PROPN
cana-1242	233	11	,	,	PUNCT
cana-1242	233	12	113.1	113.1	NUM
cana-1242	233	13	less	less	ADJ
cana-1242	233	14	than	than	ADP
cana-1242	233	15	hdbscan	hdbscan	PROPN
cana-1242	233	16	,	,	PUNCT
cana-1242	233	17	141.8	141.8	NUM
cana-1242	233	18	less	less	ADJ
cana-1242	233	19	than	than	ADP
cana-1242	233	20	primfc	primfc	NOUN
cana-1242	233	21	.	.	PUNCT
cana-1242	234	1	hence	hence	ADV
cana-1242	234	2	,	,	PUNCT
cana-1242	234	3	the	the	DET
cana-1242	234	4	objects	object	NOUN
cana-1242	234	5	in	in	ADP
cana-1242	234	6	the	the	DET
cana-1242	234	7	proposed	propose	VERB
cana-1242	234	8	method	method	NOUN
cana-1242	234	9	clusters	cluster	NOUN
cana-1242	234	10	are	be	AUX
cana-1242	234	11	closer	close	ADJ
cana-1242	234	12	than	than	ADP
cana-1242	234	13	other	other	ADJ
cana-1242	234	14	existing	exist	VERB
cana-1242	234	15	methods	method	NOUN
cana-1242	234	16	.	.	PUNCT
cana-1242	235	1	less	less	ADJ
cana-1242	235	2	cluster	cluster	NOUN
cana-1242	235	3	density	density	NOUN
cana-1242	235	4	(	(	PUNCT
cana-1242	235	5	intra	intra	ADJ
cana-1242	235	6	cluster	cluster	NOUN
cana-1242	235	7	distance	distance	NOUN
cana-1242	235	8	)	)	PUNCT
cana-1242	235	9	implies	imply	VERB
cana-1242	235	10	a	a	DET
cana-1242	235	11	good	good	ADJ
cana-1242	235	12	clustering	clustering	NOUN
cana-1242	235	13	by	by	ADP
cana-1242	235	14	having	have	VERB
cana-1242	235	15	the	the	DET
cana-1242	235	16	data	data	NOUN
cana-1242	235	17	points	point	NOUN
cana-1242	235	18	within	within	ADP
cana-1242	235	19	the	the	DET
cana-1242	235	20	cluster	cluster	NOUN
cana-1242	235	21	more	more	ADV
cana-1242	235	22	closer	close	ADJ
cana-1242	235	23	.	.	PUNCT
cana-1242	236	1	fig	fig	NOUN
cana-1242	236	2	.	.	PUNCT
cana-1242	237	1	5	5	NUM
cana-1242	237	2	,	,	PUNCT
cana-1242	237	3	shows	show	VERB
cana-1242	237	4	the	the	DET
cana-1242	237	5	processing	processing	NOUN
cana-1242	237	6	time	time	NOUN
cana-1242	237	7	analysis	analysis	NOUN
cana-1242	237	8	of	of	ADP
cana-1242	237	9	the	the	DET
cana-1242	237	10	existing	exist	VERB
cana-1242	237	11	and	and	CCONJ
cana-1242	237	12	proposed	propose	VERB
cana-1242	237	13	methods	method	NOUN
cana-1242	237	14	and	and	CCONJ
cana-1242	237	15	it	it	PRON
cana-1242	237	16	is	be	AUX
cana-1242	237	17	confirmed	confirm	VERB
cana-1242	237	18	that	that	SCONJ
cana-1242	237	19	fpphac	fpphac	NOUN
cana-1242	237	20	takes	take	VERB
cana-1242	237	21	least	least	ADJ
cana-1242	237	22	processing	processing	NOUN
cana-1242	237	23	time	time	NOUN
cana-1242	237	24	as	as	SCONJ
cana-1242	237	25	the	the	DET
cana-1242	237	26	method	method	NOUN
cana-1242	237	27	includes	include	VERB
cana-1242	237	28	data	datum	NOUN
cana-1242	237	29	summarization	summarization	NOUN
cana-1242	237	30	using	use	VERB
cana-1242	237	31	pivot	pivot	NOUN
cana-1242	237	32	table	table	NOUN
cana-1242	237	33	based	base	VERB
cana-1242	237	34	on	on	ADP
cana-1242	237	35	the	the	DET
cana-1242	237	36	analysis	analysis	NOUN
cana-1242	237	37	.	.	PUNCT
cana-1242	238	1	this	this	DET
cana-1242	238	2	work	work	NOUN
cana-1242	238	3	implements	implement	VERB
cana-1242	238	4	the	the	DET
cana-1242	238	5	method	method	NOUN
cana-1242	238	6	on	on	ADP
cana-1242	238	7	product	product	NOUN
cana-1242	238	8	analysis	analysis	NOUN
cana-1242	238	9	.	.	PUNCT
cana-1242	239	1	the	the	DET
cana-1242	239	2	minimized	minimized	ADJ
cana-1242	239	3	processing	processing	NOUN
cana-1242	239	4	time	time	NOUN
cana-1242	239	5	is	be	AUX
cana-1242	239	6	due	due	ADJ
cana-1242	239	7	to	to	ADP
cana-1242	239	8	the	the	DET
cana-1242	239	9	pivot	pivot	NOUN
cana-1242	239	10	table	table	NOUN
cana-1242	239	11	that	that	SCONJ
cana-1242	239	12	groups	group	NOUN
cana-1242	239	13	only	only	ADV
cana-1242	239	14	the	the	DET
cana-1242	239	15	attribute	attribute	NOUN
cana-1242	239	16	that	that	PRON
cana-1242	239	17	has	have	VERB
cana-1242	239	18	details	detail	NOUN
cana-1242	239	19	about	about	ADP
cana-1242	239	20	products	product	NOUN
cana-1242	239	21	.	.	PUNCT
cana-1242	240	1	figure	figure	NOUN
cana-1242	240	2	5	5	NUM
cana-1242	240	3	.	.	PUNCT
cana-1242	240	4	processing	processing	NOUN
cana-1242	240	5	time	time	NOUN
cana-1242	240	6	analysis	analysis	NOUN
cana-1242	240	7	graph	graph	NOUN
cana-1242	240	8	table	table	NOUN
cana-1242	240	9	6	6	NUM
cana-1242	240	10	,	,	PUNCT
cana-1242	240	11	lists	list	VERB
cana-1242	240	12	the	the	DET
cana-1242	240	13	values	value	NOUN
cana-1242	240	14	for	for	ADP
cana-1242	240	15	number	number	NOUN
cana-1242	240	16	of	of	ADP
cana-1242	240	17	clusters	cluster	NOUN
cana-1242	240	18	formed	form	VERB
cana-1242	240	19	,	,	PUNCT
cana-1242	240	20	flat	flat	ADJ
cana-1242	240	21	threshold	threshold	NOUN
cana-1242	240	22	value	value	NOUN
cana-1242	240	23	,	,	PUNCT
cana-1242	240	24	sos	sos	NOUN
cana-1242	240	25	and	and	CCONJ
cana-1242	240	26	cluster	cluster	NOUN
cana-1242	240	27	density	density	NOUN
cana-1242	240	28	using	use	VERB
cana-1242	240	29	the	the	DET
cana-1242	240	30	proposed	propose	VERB
cana-1242	240	31	method	method	NOUN
cana-1242	240	32	on	on	ADP
cana-1242	240	33	various	various	ADJ
cana-1242	240	34	uci	uci	PROPN
cana-1242	240	35	,	,	PUNCT
cana-1242	240	36	kaggle	kaggle	VERB
cana-1242	240	37	repository	repository	NOUN
cana-1242	240	38	datasets	dataset	NOUN
cana-1242	240	39	.	.	PUNCT
cana-1242	241	1	the	the	DET
cana-1242	241	2	experimental	experimental	ADJ
cana-1242	241	3	value	value	NOUN
cana-1242	241	4	confirms	confirm	VERB
cana-1242	241	5	that	that	SCONJ
cana-1242	241	6	all	all	DET
cana-1242	241	7	the	the	DET
cana-1242	241	8	values	value	NOUN
cana-1242	241	9	depend	depend	VERB
cana-1242	241	10	on	on	ADP
cana-1242	241	11	the	the	DET
cana-1242	241	12	dataset	dataset	NOUN
cana-1242	241	13	and	and	CCONJ
cana-1242	241	14	its	its	PRON
cana-1242	241	15	samples	sample	NOUN
cana-1242	241	16	.	.	PUNCT
cana-1242	242	1	table	table	NOUN
cana-1242	242	2	6	6	NUM
cana-1242	242	3	.	.	PUNCT
cana-1242	243	1	performance	performance	NOUN
cana-1242	243	2	of	of	ADP
cana-1242	243	3	fphac	fphac	NOUN
cana-1242	243	4	for	for	ADP
cana-1242	243	5	variant	variant	ADJ
cana-1242	243	6	repository	repository	NOUN
cana-1242	243	7	transaction	transaction	NOUN
cana-1242	243	8	datasets	dataset	NOUN
cana-1242	243	9	datasets	dataset	NOUN
cana-1242	243	10	clusters	cluster	NOUN
cana-1242	243	11	formed	form	VERB
cana-1242	243	12	flat	flat	ADJ
cana-1242	243	13	threshold	threshold	NOUN
cana-1242	243	14	distance	distance	NOUN
cana-1242	243	15	sos	sos	PROPN
cana-1242	243	16	cluster	cluster	NOUN
cana-1242	243	17	density	density	NOUN
cana-1242	243	18	products	product	NOUN
cana-1242	243	19	3	3	NUM
cana-1242	243	20	3.1	3.1	NUM
cana-1242	243	21	0.34	0.34	NUM
cana-1242	243	22	137.6	137.6	NUM
cana-1242	243	23	online	online	ADJ
cana-1242	243	24	retail	retail	ADJ
cana-1242	243	25	5	5	NUM
cana-1242	243	26	0.9	0.9	NUM
cana-1242	243	27	0.35	0.35	NUM
cana-1242	243	28	196.8	196.8	NUM
cana-1242	243	29	transactions	transaction	NOUN
cana-1242	243	30	4	4	NUM
cana-1242	243	31	2.6	2.6	NUM
cana-1242	243	32	0.32	0.32	NUM
cana-1242	243	33	126.5	126.5	NUM
cana-1242	243	34	online	online	ADJ
cana-1242	243	35	store	store	NOUN
cana-1242	243	36	4	4	NUM
cana-1242	243	37	1.5	1.5	NUM
cana-1242	243	38	0.26	0.26	NUM
cana-1242	243	39	112.8	112.8	NUM
cana-1242	243	40	0	0	NUM
cana-1242	243	41	400000	400000	NUM
cana-1242	243	42	800000	800000	NUM
cana-1242	243	43	1200000	1200000	NUM
cana-1242	243	44	1600000	1600000	NUM
cana-1242	244	1	hac	hac	X
cana-1242	244	2	hdbscan	hdbscan	PROPN
cana-1242	244	3	pri	pri	PROPN
cana-1242	244	4	-	-	ADJ
cana-1242	244	5	mfc	mfc	NOUN
cana-1242	244	6	fphac	fphac	NOUN
cana-1242	244	7	processing	processing	NOUN
cana-1242	244	8	time	time	NOUN
cana-1242	244	9	time	time	NOUN
cana-1242	244	10	(	(	PUNCT
cana-1242	244	11	in	in	ADP
cana-1242	244	12	milliseconds	millisecond	NOUN
cana-1242	244	13	)	)	PUNCT
cana-1242	244	14	communications	communication	NOUN
cana-1242	244	15	on	on	ADP
cana-1242	244	16	applied	apply	VERB
cana-1242	244	17	nonlinear	nonlinear	ADJ
cana-1242	244	18	analysis	analysis	NOUN
cana-1242	244	19	issn	issn	NOUN
cana-1242	244	20	:	:	PUNCT
cana-1242	244	21	1074	1074	NUM
cana-1242	244	22	-	-	PUNCT
cana-1242	244	23	133x	133x	NUM
cana-1242	244	24	vol	vol	NOUN
cana-1242	244	25	31	31	NUM
cana-1242	244	26	no	no	NOUN
cana-1242	244	27	.	.	PUNCT
cana-1242	245	1	6s	6s	NUM
cana-1242	245	2	(	(	PUNCT
cana-1242	245	3	2024	2024	NUM
cana-1242	245	4	)	)	PUNCT
cana-1242	245	5	551	551	NUM
cana-1242	245	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	245	7	figure	figure	NOUN
cana-1242	245	8	6	6	NUM
cana-1242	245	9	.	.	PUNCT
cana-1242	246	1	analysis	analysis	NOUN
cana-1242	246	2	on	on	ADP
cana-1242	246	3	variant	variant	ADJ
cana-1242	246	4	repository	repository	NOUN
cana-1242	246	5	datasets	dataset	NOUN
cana-1242	246	6	using	use	VERB
cana-1242	246	7	fphac	fphac	PROPN
cana-1242	246	8	fig	fig	NOUN
cana-1242	246	9	6	6	NUM
cana-1242	246	10	,	,	PUNCT
cana-1242	246	11	shows	show	VERB
cana-1242	246	12	the	the	DET
cana-1242	246	13	analysis	analysis	NOUN
cana-1242	246	14	on	on	ADP
cana-1242	246	15	variant	variant	ADJ
cana-1242	246	16	repository	repository	NOUN
cana-1242	246	17	datasets	dataset	NOUN
cana-1242	246	18	using	use	VERB
cana-1242	246	19	fphac	fphac	NOUN
cana-1242	247	1	and	and	CCONJ
cana-1242	247	2	the	the	DET
cana-1242	247	3	results	result	NOUN
cana-1242	247	4	varies	vary	VERB
cana-1242	247	5	on	on	ADP
cana-1242	247	6	the	the	DET
cana-1242	247	7	basis	basis	NOUN
cana-1242	247	8	of	of	ADP
cana-1242	247	9	the	the	DET
cana-1242	247	10	dataset	dataset	NOUN
cana-1242	247	11	form	form	NOUN
cana-1242	247	12	.	.	PUNCT
cana-1242	248	1	among	among	ADP
cana-1242	248	2	them	they	PRON
cana-1242	248	3	,	,	PUNCT
cana-1242	248	4	online	online	ADJ
cana-1242	248	5	store	store	NOUN
cana-1242	248	6	data	datum	NOUN
cana-1242	248	7	has	have	AUX
cana-1242	248	8	least	least	ADJ
cana-1242	248	9	sos	sos	NOUN
cana-1242	248	10	and	and	CCONJ
cana-1242	248	11	cluster	cluster	NOUN
cana-1242	248	12	density	density	NOUN
cana-1242	248	13	values	value	NOUN
cana-1242	248	14	.	.	PUNCT
cana-1242	249	1	6	6	X
cana-1242	249	2	.	.	X
cana-1242	249	3	conclusion	conclusion	NOUN
cana-1242	249	4	hierarchical	hierarchical	ADJ
cana-1242	249	5	clustering	clustering	NOUN
cana-1242	249	6	generates	generate	VERB
cana-1242	249	7	numerous	numerous	ADJ
cana-1242	249	8	clusters	cluster	NOUN
cana-1242	249	9	based	base	VERB
cana-1242	249	10	on	on	ADP
cana-1242	249	11	the	the	DET
cana-1242	249	12	hierarchy	hierarchy	ADJ
cana-1242	249	13	level	level	NOUN
cana-1242	249	14	of	of	ADP
cana-1242	249	15	the	the	DET
cana-1242	249	16	data	data	NOUN
cana-1242	249	17	points	point	NOUN
cana-1242	249	18	.	.	PUNCT
cana-1242	250	1	initially	initially	ADV
cana-1242	250	2	,	,	PUNCT
cana-1242	250	3	the	the	DET
cana-1242	250	4	proposed	propose	VERB
cana-1242	250	5	method	method	NOUN
cana-1242	250	6	put	put	VERB
cana-1242	250	7	forth	forth	ADP
cana-1242	250	8	a	a	DET
cana-1242	250	9	simple	simple	ADJ
cana-1242	250	10	method	method	NOUN
cana-1242	250	11	to	to	PART
cana-1242	250	12	handle	handle	VERB
cana-1242	250	13	large	large	ADJ
cana-1242	250	14	dataset	dataset	NOUN
cana-1242	250	15	using	use	VERB
cana-1242	250	16	linear	linear	NOUN
cana-1242	250	17	sampling	sampling	NOUN
cana-1242	250	18	split	split	NOUN
cana-1242	250	19	and	and	CCONJ
cana-1242	250	20	the	the	DET
cana-1242	250	21	original	original	ADJ
cana-1242	250	22	dataset	dataset	NOUN
cana-1242	250	23	is	be	AUX
cana-1242	250	24	transformed	transform	VERB
cana-1242	250	25	to	to	ADP
cana-1242	250	26	pivot	pivot	NOUN
cana-1242	250	27	table	table	NOUN
cana-1242	250	28	with	with	ADP
cana-1242	250	29	information	information	NOUN
cana-1242	250	30	rich	rich	ADJ
cana-1242	250	31	data	datum	NOUN
cana-1242	250	32	that	that	PRON
cana-1242	250	33	summarize	summarize	VERB
cana-1242	250	34	the	the	DET
cana-1242	250	35	data	datum	NOUN
cana-1242	250	36	with	with	ADP
cana-1242	250	37	limited	limited	ADJ
cana-1242	250	38	dimension	dimension	NOUN
cana-1242	250	39	in	in	ADP
cana-1242	250	40	transaction	transaction	NOUN
cana-1242	250	41	data	datum	NOUN
cana-1242	250	42	thereby	thereby	ADV
cana-1242	250	43	lessen	lessen	VERB
cana-1242	250	44	the	the	DET
cana-1242	250	45	computational	computational	ADJ
cana-1242	250	46	and	and	CCONJ
cana-1242	250	47	memory	memory	NOUN
cana-1242	250	48	complexity	complexity	NOUN
cana-1242	250	49	.	.	PUNCT
cana-1242	251	1	fuzzy	fuzzy	ADJ
cana-1242	251	2	partition	partition	NOUN
cana-1242	251	3	matrix	matrix	NOUN
cana-1242	251	4	with	with	ADP
cana-1242	251	5	normalization	normalization	NOUN
cana-1242	251	6	is	be	AUX
cana-1242	251	7	applied	apply	VERB
cana-1242	251	8	to	to	ADP
cana-1242	251	9	the	the	DET
cana-1242	251	10	dataset	dataset	NOUN
cana-1242	251	11	to	to	PART
cana-1242	251	12	get	get	VERB
cana-1242	251	13	the	the	DET
cana-1242	251	14	partition	partition	NOUN
cana-1242	251	15	score	score	NOUN
cana-1242	251	16	of	of	ADP
cana-1242	251	17	being	be	AUX
cana-1242	251	18	in	in	ADP
cana-1242	251	19	the	the	DET
cana-1242	251	20	cluster	cluster	NOUN
cana-1242	251	21	that	that	PRON
cana-1242	251	22	gives	give	VERB
cana-1242	251	23	additional	additional	ADJ
cana-1242	251	24	insight	insight	NOUN
cana-1242	251	25	while	while	SCONJ
cana-1242	251	26	the	the	DET
cana-1242	251	27	clusters	cluster	NOUN
cana-1242	251	28	in	in	ADP
cana-1242	251	29	the	the	DET
cana-1242	251	30	hierarchy	hierarchy	NOUN
cana-1242	251	31	are	be	AUX
cana-1242	251	32	merged	merge	VERB
cana-1242	251	33	.	.	PUNCT
cana-1242	252	1	generally	generally	ADV
cana-1242	252	2	,	,	PUNCT
cana-1242	252	3	the	the	DET
cana-1242	252	4	hierarchical	hierarchical	ADJ
cana-1242	252	5	clusters	cluster	NOUN
cana-1242	252	6	in	in	ADP
cana-1242	252	7	dendrogram	dendrogram	NOUN
cana-1242	252	8	are	be	AUX
cana-1242	252	9	breakdown	breakdown	ADJ
cana-1242	252	10	using	use	VERB
cana-1242	252	11	flat	flat	ADJ
cana-1242	252	12	clustering	clustering	NOUN
cana-1242	252	13	with	with	ADP
cana-1242	252	14	the	the	DET
cana-1242	252	15	user	user	NOUN
cana-1242	252	16	parameter	parameter	NOUN
cana-1242	252	17	number	number	NOUN
cana-1242	252	18	of	of	ADP
cana-1242	252	19	clusters	cluster	NOUN
cana-1242	252	20	or	or	CCONJ
cana-1242	252	21	with	with	ADP
cana-1242	252	22	the	the	DET
cana-1242	252	23	distance	distance	NOUN
cana-1242	252	24	threshold	threshold	NOUN
cana-1242	252	25	value	value	NOUN
cana-1242	252	26	.	.	PUNCT
cana-1242	253	1	however	however	ADV
cana-1242	253	2	,	,	PUNCT
cana-1242	253	3	there	there	PRON
cana-1242	253	4	is	be	VERB
cana-1242	253	5	no	no	DET
cana-1242	253	6	standard	standard	ADJ
cana-1242	253	7	objective	objective	ADJ
cana-1242	253	8	function	function	NOUN
cana-1242	253	9	to	to	PART
cana-1242	253	10	fix	fix	VERB
cana-1242	253	11	the	the	DET
cana-1242	253	12	distance	distance	NOUN
cana-1242	253	13	threshold	threshold	NOUN
cana-1242	253	14	value	value	NOUN
cana-1242	253	15	in	in	ADP
cana-1242	253	16	existing	exist	VERB
cana-1242	253	17	hierarchical	hierarchical	ADJ
cana-1242	253	18	flat	flat	ADJ
cana-1242	253	19	clustering	clustering	NOUN
cana-1242	253	20	.	.	PUNCT
cana-1242	254	1	this	this	DET
cana-1242	254	2	research	research	NOUN
cana-1242	254	3	work	work	NOUN
cana-1242	254	4	proposed	propose	VERB
cana-1242	254	5	an	an	DET
cana-1242	254	6	objective	objective	ADJ
cana-1242	254	7	function	function	NOUN
cana-1242	254	8	sum	sum	NOUN
cana-1242	254	9	of	of	ADP
cana-1242	254	10	squares	square	NOUN
cana-1242	254	11	(	(	PUNCT
cana-1242	254	12	sos	sos	PROPN
cana-1242	254	13	)	)	PUNCT
cana-1242	254	14	to	to	PART
cana-1242	254	15	fix	fix	VERB
cana-1242	254	16	the	the	DET
cana-1242	254	17	optimum	optimum	ADJ
cana-1242	254	18	distance	distance	NOUN
cana-1242	254	19	threshold	threshold	NOUN
cana-1242	254	20	value	value	NOUN
cana-1242	254	21	that	that	PRON
cana-1242	254	22	assures	assure	VERB
cana-1242	254	23	the	the	DET
cana-1242	254	24	quality	quality	NOUN
cana-1242	254	25	of	of	ADP
cana-1242	254	26	the	the	DET
cana-1242	254	27	cluster	cluster	NOUN
cana-1242	254	28	formed	form	VERB
cana-1242	254	29	.	.	PUNCT
cana-1242	255	1	the	the	DET
cana-1242	255	2	proposed	propose	VERB
cana-1242	255	3	method	method	NOUN
cana-1242	255	4	outperforms	outperform	VERB
cana-1242	255	5	the	the	DET
cana-1242	255	6	existing	exist	VERB
cana-1242	255	7	methods	method	NOUN
cana-1242	255	8	and	and	CCONJ
cana-1242	255	9	proves	prove	VERB
cana-1242	255	10	its	its	PRON
cana-1242	255	11	efficiency	efficiency	NOUN
cana-1242	255	12	by	by	ADP
cana-1242	255	13	having	have	VERB
cana-1242	255	14	less	less	ADJ
cana-1242	255	15	cluster	cluster	NOUN
cana-1242	255	16	density	density	NOUN
cana-1242	255	17	,	,	PUNCT
cana-1242	255	18	sos	sos	NOUN
cana-1242	255	19	and	and	CCONJ
cana-1242	255	20	processing	processing	NOUN
cana-1242	255	21	time	time	NOUN
cana-1242	255	22	.	.	PUNCT
cana-1242	256	1	references	reference	NOUN
cana-1242	256	2	[	[	X
cana-1242	256	3	1	1	X
cana-1242	256	4	]	]	PUNCT
cana-1242	256	5	sivasankari	sivasankari	ADJ
cana-1242	256	6	.s	.s	PROPN
cana-1242	256	7	,	,	PUNCT
cana-1242	256	8	dr.s.sukumaran	dr.s.sukumaran	PROPN
cana-1242	256	9	,	,	PUNCT
cana-1242	256	10	dr.s	dr.s	PROPN
cana-1242	256	11	.	.	PUNCT
cana-1242	257	1	muthumarilakshmi	muthumarilakshmi	NOUN
cana-1242	257	2	,	,	PUNCT
cana-1242	257	3	“	"	PUNCT
cana-1242	257	4	deep	deep	ADJ
cana-1242	257	5	learning	learning	NOUN
cana-1242	257	6	based	base	VERB
cana-1242	257	7	weight	weight	NOUN
cana-1242	257	8	guided	guide	VERB
cana-1242	257	9	wrapper	wrapper	NOUN
cana-1242	257	10	feature	feature	NOUN
cana-1242	257	11	subset	subset	NOUN
cana-1242	257	12	method	method	NOUN
cana-1242	257	13	for	for	ADP
cana-1242	257	14	multiclass	multiclass	ADJ
cana-1242	257	15	data	datum	NOUN
cana-1242	257	16	classification	classification	NOUN
cana-1242	257	17	”	"	PUNCT
cana-1242	257	18	,	,	PUNCT
cana-1242	257	19	neuroquantology	neuroquantology	NOUN
cana-1242	257	20	,	,	PUNCT
cana-1242	257	21	volume	volume	NOUN
cana-1242	257	22	20	20	NUM
cana-1242	257	23	,	,	PUNCT
cana-1242	257	24	issue	issue	NOUN
cana-1242	257	25	16	16	NUM
cana-1242	257	26	,	,	PUNCT
cana-1242	257	27	pp.5675	pp.5675	PROPN
cana-1242	257	28	-	-	PUNCT
cana-1242	257	29	5686	5686	NUM
cana-1242	257	30	,	,	PUNCT
cana-1242	257	31	2022	2022	NUM
cana-1242	257	32	.	.	PUNCT
cana-1242	258	1	https://	https://	PROPN
cana-1242	258	2	www	www	PROPN
cana-1242	258	3	.	.	PROPN
cana-1242	258	4	neuroquantology	neuroquantology	PROPN
cana-1242	258	5	.	.	PUNCT
cana-1242	259	1	com	com	NOUN
cana-1242	259	2	/	/	SYM
cana-1242	259	3	search?q=	search?q=	NOUN
cana-1242	259	4	deep%	deep%	X
cana-1242	259	5	20	20	NUM
cana-1242	259	6	learning	learn	VERB
cana-1242	259	7	20based%	20based%	NOUN
cana-1242	260	1	20weight%	20weight%	NUM
cana-1242	261	1	20guided%2	20guided%2	NUM
cana-1242	261	2	0wrapper%20feature%20subset%20method%20for%20multiclass%20data%20classification	0wrapper%20feature%20subset%20method%20for%20multiclass%20data%20classification	NUM
cana-1242	262	1	[	[	X
cana-1242	262	2	2	2	X
cana-1242	262	3	]	]	X
cana-1242	262	4	teng	teng	PROPN
cana-1242	262	5	li	li	PROPN
cana-1242	262	6	a	a	PROPN
cana-1242	262	7	,	,	PUNCT
cana-1242	262	8	amin	amin	PROPN
cana-1242	262	9	rezaeipanah	rezaeipanah	PROPN
cana-1242	262	10	,	,	PUNCT
cana-1242	262	11	elsayed	elsaye	VERB
cana-1242	262	12	m.	m.	NOUN
cana-1242	262	13	tag	tag	PROPN
cana-1242	262	14	el	el	PROPN
cana-1242	262	15	din	din	PROPN
cana-1242	262	16	,	,	PUNCT
cana-1242	262	17	“	"	PUNCT
cana-1242	262	18	an	an	DET
cana-1242	262	19	ensemble	ensemble	ADJ
cana-1242	262	20	agglomerative	agglomerative	ADJ
cana-1242	262	21	hierarchical	hierarchical	ADJ
cana-1242	262	22	clustering	clustering	ADJ
cana-1242	262	23	algorithm	algorithm	NOUN
cana-1242	262	24	based	base	VERB
cana-1242	262	25	on	on	ADP
cana-1242	262	26	clusters	cluster	NOUN
cana-1242	262	27	clustering	cluster	VERB
cana-1242	262	28	technique	technique	NOUN
cana-1242	262	29	and	and	CCONJ
cana-1242	262	30	the	the	DET
cana-1242	262	31	novel	novel	ADJ
cana-1242	262	32	similarity	similarity	NOUN
cana-1242	262	33	measurement	measurement	NOUN
cana-1242	262	34	”	"	PUNCT
cana-1242	262	35	,	,	PUNCT
cana-1242	262	36	journal	journal	NOUN
cana-1242	262	37	of	of	ADP
cana-1242	262	38	king	king	PROPN
cana-1242	262	39	saud	saud	PROPN
cana-1242	262	40	university	university	PROPN
cana-1242	262	41	–	–	PUNCT
cana-1242	262	42	computer	computer	NOUN
cana-1242	262	43	and	and	CCONJ
cana-1242	262	44	information	information	NOUN
cana-1242	262	45	sciences	science	NOUN
cana-1242	262	46	,	,	PUNCT
cana-1242	262	47	volume	volume	NOUN
cana-1242	262	48	34	34	NUM
cana-1242	262	49	,	,	PUNCT
cana-1242	262	50	issue	issue	NOUN
cana-1242	262	51	6	6	NUM
cana-1242	262	52	,	,	PUNCT
cana-1242	262	53	part	part	NOUN
cana-1242	262	54	b	b	NOUN
cana-1242	262	55	,	,	PUNCT
cana-1242	262	56	pp.3828	pp.3828	PROPN
cana-1242	262	57	-	-	PUNCT
cana-1242	262	58	3842	3842	NUM
cana-1242	262	59	,	,	PUNCT
cana-1242	262	60	june2022	june2022	PROPN
cana-1242	262	61	.	.	PUNCT
cana-1242	263	1	https://	https://	PROPN
cana-1242	263	2	www	www	PROPN
cana-1242	263	3	.	.	PROPN
cana-1242	263	4	sciencedirect	sciencedirect	PROPN
cana-1242	263	5	.	.	PUNCT
cana-1242	263	6	com	com	PROPN
cana-1242	263	7	/science	/science	PUNCT
cana-1242	263	8	/article	/article	NOUN
cana-1242	264	1	/pii/	/pii/	PUNCT
cana-1242	265	1	s1319157822001380	s1319157822001380	NOUN
cana-1242	266	1	[	[	X
cana-1242	266	2	3	3	NUM
cana-1242	266	3	]	]	PUNCT
cana-1242	266	4	thomas	thomas	PROPN
cana-1242	266	5	märzinger	märzinger	NOUN
cana-1242	266	6	,	,	PUNCT
cana-1242	266	7	jan	jan	PROPN
cana-1242	266	8	kotík	kotík	PROPN
cana-1242	266	9	,	,	PUNCT
cana-1242	266	10	christoph	christoph	PROPN
cana-1242	266	11	pfeifer	pfeifer	PROPN
cana-1242	266	12	,	,	PUNCT
cana-1242	266	13	“	"	PUNCT
cana-1242	266	14	application	application	NOUN
cana-1242	266	15	of	of	ADP
cana-1242	266	16	hierarchical	hierarchical	ADJ
cana-1242	266	17	agglomerative	agglomerative	ADJ
cana-1242	266	18	clustering	clustering	NOUN
cana-1242	266	19	(	(	PUNCT
cana-1242	266	20	hac	hac	NOUN
cana-1242	266	21	)	)	PUNCT
cana-1242	266	22	for	for	ADP
cana-1242	266	23	systemic	systemic	ADJ
cana-1242	266	24	classification	classification	NOUN
cana-1242	266	25	of	of	ADP
cana-1242	266	26	pop	pop	NOUN
cana-1242	266	27	-	-	PUNCT
cana-1242	266	28	up	up	ADP
cana-1242	266	29	housing	housing	NOUN
cana-1242	266	30	(	(	PUNCT
cana-1242	266	31	puh	puh	NOUN
cana-1242	266	32	)	)	PUNCT
cana-1242	266	33	environments	environment	NOUN
cana-1242	266	34	”	"	PUNCT
cana-1242	266	35	,	,	PUNCT
cana-1242	266	36	applied	apply	VERB
cana-1242	266	37	sciences	science	NOUN
cana-1242	266	38	,	,	PUNCT
cana-1242	266	39	11(23),pp.1	11(23),pp.1	NUM
cana-1242	266	40	-	-	SYM
cana-1242	266	41	19	19	NUM
cana-1242	266	42	,	,	PUNCT
cana-1242	266	43	2021	2021	NUM
cana-1242	266	44	.	.	PUNCT
cana-1242	267	1	https://	https://	PROPN
cana-1242	267	2	doi.org/	doi.org/	ADV
cana-1242	267	3	10.3390	10.3390	NUM
cana-1242	267	4	/	/	SYM
cana-1242	267	5	app112311122	app112311122	NOUN
cana-1242	267	6	0	0	NUM
cana-1242	267	7	0.1	0.1	NUM
cana-1242	267	8	0.2	0.2	NUM
cana-1242	267	9	0.3	0.3	NUM
cana-1242	267	10	0.4	0.4	NUM
cana-1242	267	11	0	0	NUM
cana-1242	267	12	50	50	NUM
cana-1242	267	13	100	100	NUM
cana-1242	267	14	150	150	NUM
cana-1242	267	15	200	200	NUM
cana-1242	267	16	products	product	NOUN
cana-1242	267	17	online	online	ADJ
cana-1242	267	18	retail	retail	ADJ
cana-1242	267	19	transactions	transaction	NOUN
cana-1242	267	20	online	online	ADJ
cana-1242	267	21	store	store	NOUN
cana-1242	267	22	analysis	analysis	NOUN
cana-1242	267	23	on	on	ADP
cana-1242	267	24	variant	variant	ADJ
cana-1242	267	25	datasets	dataset	NOUN
cana-1242	267	26	cluster	cluster	NOUN
cana-1242	267	27	density	density	NOUN
cana-1242	267	28	sos	sos	PROPN
cana-1242	267	29	https://www.sciencedirect.com/journal/journal-of-king-saud-university-computer-and-information-sciences/vol/34/issue/6/part/pb	https://www.sciencedirect.com/journal/journal-of-king-saud-university-computer-and-information-sciences/vol/34/issue/6/part/pb	VERB
cana-1242	267	30	communications	communication	NOUN
cana-1242	267	31	on	on	ADP
cana-1242	267	32	applied	apply	VERB
cana-1242	267	33	nonlinear	nonlinear	ADJ
cana-1242	267	34	analysis	analysis	NOUN
cana-1242	267	35	issn	issn	NOUN
cana-1242	267	36	:	:	PUNCT
cana-1242	267	37	1074	1074	NUM
cana-1242	267	38	-	-	PUNCT
cana-1242	267	39	133x	133x	NUM
cana-1242	267	40	vol	vol	NOUN
cana-1242	267	41	31	31	NUM
cana-1242	267	42	no	no	NOUN
cana-1242	267	43	.	.	PUNCT
cana-1242	268	1	6s	6s	NUM
cana-1242	268	2	(	(	PUNCT
cana-1242	268	3	2024	2024	NUM
cana-1242	268	4	)	)	PUNCT
cana-1242	268	5	552	552	NUM
cana-1242	268	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1242	269	1	[	[	X
cana-1242	269	2	4	4	X
cana-1242	269	3	]	]	PUNCT
cana-1242	269	4	praveen	praveen	PROPN
cana-1242	269	5	p	p	X
cana-1242	269	6	,	,	PUNCT
cana-1242	269	7	ranjith	ranjith	PROPN
cana-1242	269	8	kumar	kumar	PROPN
cana-1242	269	9	m	m	PROPN
cana-1242	269	10	,	,	PUNCT
cana-1242	269	11	mohammed	mohammed	PROPN
cana-1242	269	12	ali	ali	PROPN
cana-1242	269	13	shaik	shaik	PROPN
cana-1242	269	14	,	,	PUNCT
cana-1242	269	15	r	r	NOUN
cana-1242	269	16	ravikumar	ravikumar	NOUN
cana-1242	269	17	,	,	PUNCT
cana-1242	269	18	r	r	NOUN
cana-1242	269	19	kiran	kiran	NOUN
cana-1242	269	20	,	,	PUNCT
cana-1242	269	21	“	"	PUNCT
cana-1242	269	22	the	the	DET
cana-1242	269	23	comparative	comparative	ADJ
cana-1242	269	24	study	study	NOUN
cana-1242	269	25	on	on	ADP
cana-1242	269	26	agglomerative	agglomerative	ADJ
cana-1242	269	27	hierarchical	hierarchical	ADJ
cana-1242	269	28	clustering	clustering	NOUN
cana-1242	269	29	using	use	VERB
cana-1242	269	30	numerical	numerical	ADJ
cana-1242	269	31	data	datum	NOUN
cana-1242	269	32	”	"	PUNCT
cana-1242	269	33	,	,	PUNCT
cana-1242	269	34	iop	iop	PROPN
cana-1242	269	35	conf	conf	NOUN
cana-1242	269	36	.	.	PUNCT
cana-1242	270	1	series	series	NOUN
cana-1242	270	2	:	:	PUNCT
cana-1242	270	3	materials	material	NOUN
cana-1242	270	4	science	science	NOUN
cana-1242	270	5	and	and	CCONJ
cana-1242	270	6	engineering	engineering	NOUN
cana-1242	270	7	,	,	PUNCT
cana-1242	270	8	pp.1	pp.1	NOUN
cana-1242	270	9	-	-	PUNCT
cana-1242	270	10	10	10	NUM
cana-1242	270	11	,	,	PUNCT
cana-1242	270	12	2020	2020	NUM
cana-1242	270	13	.	.	PUNCT
cana-1242	271	1	doi:10.1088/1757	doi:10.1088/1757	PROPN
cana-1242	271	2	-	-	NUM
cana-1242	271	3	899x/981/2/022071	899x/981/2/022071	NOUN
cana-1242	272	1	[	[	X
cana-1242	272	2	5	5	X
cana-1242	272	3	]	]	X
cana-1242	272	4	nicholas	nicholas	PROPN
cana-1242	272	5	monath	monath	PROPN
cana-1242	272	6	et	et	PROPN
cana-1242	272	7	al	al	PROPN
cana-1242	272	8	,	,	PUNCT
cana-1242	272	9	“	"	PUNCT
cana-1242	272	10	scalable	scalable	ADJ
cana-1242	272	11	hierarchical	hierarchical	ADJ
cana-1242	272	12	agglomerative	agglomerative	ADJ
cana-1242	272	13	clustering	clustering	NOUN
cana-1242	272	14	”	"	PUNCT
cana-1242	272	15	,	,	PUNCT
cana-1242	272	16	kdd	kdd	PROPN
cana-1242	272	17	'	'	NUM
cana-1242	272	18	21	21	NUM
cana-1242	272	19	:	:	PUNCT
cana-1242	272	20	proceedings	proceeding	NOUN
cana-1242	272	21	of	of	ADP
cana-1242	272	22	the	the	DET
cana-1242	272	23	27th	27th	ADJ
cana-1242	272	24	acm	acm	PROPN
cana-1242	272	25	sigkdd	sigkdd	NOUN
cana-1242	272	26	conference	conference	NOUN
cana-1242	272	27	on	on	ADP
cana-1242	272	28	knowledge	knowledge	PROPN
cana-1242	272	29	discovery	discovery	PROPN
cana-1242	272	30	&	&	CCONJ
cana-1242	272	31	data	data	PROPN
cana-1242	272	32	mining	mining	NOUN
cana-1242	272	33	,	,	PUNCT
cana-1242	272	34	pp	pp	ADJ
cana-1242	272	35	.	.	PUNCT
cana-1242	273	1	1245–1255	1245–1255	NUM
cana-1242	273	2	,	,	PUNCT
cana-1242	273	3	august	august	PROPN
cana-1242	273	4	2021	2021	NUM
cana-1242	273	5	..	..	PUNCT
cana-1242	273	6	https://doi.org/10.1145/3447548.3467404	https://doi.org/10.1145/3447548.3467404	NOUN
cana-1242	274	1	[	[	X
cana-1242	274	2	6	6	NUM
cana-1242	274	3	]	]	X
cana-1242	274	4	crisnandra	crisnandra	PROPN
cana-1242	274	5	rahmita	rahmita	PROPN
cana-1242	274	6	mardiantien	mardiantien	PROPN
cana-1242	274	7	;	;	PUNCT
cana-1242	274	8	imelda	imelda	PROPN
cana-1242	274	9	atastina	atastina	PROPN
cana-1242	274	10	;	;	PUNCT
cana-1242	274	11	ibnu	ibnu	NOUN
cana-1242	274	12	asror	asror	NOUN
cana-1242	274	13	,	,	PUNCT
cana-1242	274	14	“	"	PUNCT
cana-1242	274	15	product	product	NOUN
cana-1242	274	16	segmentation	segmentation	NOUN
cana-1242	274	17	based	base	VERB
cana-1242	274	18	on	on	ADP
cana-1242	274	19	sales	sale	NOUN
cana-1242	274	20	transaction	transaction	NOUN
cana-1242	274	21	data	datum	NOUN
cana-1242	274	22	using	use	VERB
cana-1242	274	23	agglomerative	agglomerative	ADJ
cana-1242	274	24	hierarchical	hierarchical	ADJ
cana-1242	274	25	clustering	clustering	NOUN
cana-1242	274	26	and	and	CCONJ
cana-1242	274	27	fmc	fmc	NOUN
cana-1242	274	28	model	model	NOUN
cana-1242	274	29	(	(	PUNCT
cana-1242	274	30	case	case	NOUN
cana-1242	274	31	study	study	NOUN
cana-1242	274	32	:	:	PUNCT
cana-1242	274	33	xyz	xyz	PROPN
cana-1242	274	34	company	company	NOUN
cana-1242	274	35	)	)	PUNCT
cana-1242	274	36	”	"	PUNCT
cana-1242	274	37	,	,	PUNCT
cana-1242	274	38	2020	2020	NUM
cana-1242	274	39	3rd	3rd	ADJ
cana-1242	274	40	international	international	ADJ
cana-1242	274	41	conference	conference	NOUN
cana-1242	274	42	on	on	ADP
cana-1242	274	43	information	information	NOUN
cana-1242	274	44	and	and	CCONJ
cana-1242	274	45	communications	communication	NOUN
cana-1242	274	46	technology	technology	NOUN
cana-1242	274	47	(	(	PUNCT
cana-1242	274	48	icoiact	icoiact	NOUN
cana-1242	274	49	)	)	PUNCT
cana-1242	274	50	,	,	PUNCT
cana-1242	274	51	ieee	ieee	NOUN
cana-1242	274	52	,	,	PUNCT
cana-1242	274	53	pp	pp	ADJ
cana-1242	274	54	.	.	PUNCT
cana-1242	275	1	223	223	NUM
cana-1242	275	2	-	-	SYM
cana-1242	275	3	228	228	NUM
cana-1242	275	4	,	,	PUNCT
cana-1242	275	5	2020.doi	2020.doi	NUM
cana-1242	275	6	:	:	PUNCT
cana-1242	275	7	10.1109/	10.1109/	PROPN
cana-1242	275	8	icoiact50329	icoiact50329	PROPN
cana-1242	275	9	.	.	PUNCT
cana-1242	276	1	2020	2020	NUM
cana-1242	276	2	.	.	PUNCT
cana-1242	277	1	9332023	9332023	NUM
cana-1242	278	1	[	[	X
cana-1242	278	2	7	7	X
cana-1242	278	3	]	]	X
cana-1242	278	4	yue	yue	PROPN
cana-1242	278	5	wang	wang	PROPN
cana-1242	278	6	et	et	PROPN
cana-1242	278	7	al	al	PROPN
cana-1242	278	8	,	,	PUNCT
cana-1242	278	9	“	"	PUNCT
cana-1242	278	10	pack	pack	NOUN
cana-1242	278	11	:	:	PUNCT
cana-1242	278	12	an	an	DET
cana-1242	278	13	efficient	efficient	ADJ
cana-1242	278	14	partition	partition	NOUN
cana-1242	278	15	-	-	PUNCT
cana-1242	278	16	based	base	VERB
cana-1242	278	17	distributed	distribute	VERB
cana-1242	278	18	agglomerative	agglomerative	ADJ
cana-1242	278	19	hierarchical	hierarchical	ADJ
cana-1242	278	20	clustering	clustering	ADJ
cana-1242	278	21	algorithm	algorithm	NOUN
cana-1242	278	22	for	for	ADP
cana-1242	278	23	deduplication	deduplication	NOUN
cana-1242	278	24	,	,	PUNCT
cana-1242	278	25	“	"	PUNCT
cana-1242	278	26	,	,	PUNCT
cana-1242	278	27	proceedings	proceeding	NOUN
cana-1242	278	28	of	of	ADP
cana-1242	278	29	the	the	DET
cana-1242	278	30	vldb	vldb	NOUN
cana-1242	278	31	endowment	endowment	NOUN
cana-1242	278	32	,	,	PUNCT
cana-1242	278	33	volume	volume	NOUN
cana-1242	278	34	15	15	NUM
cana-1242	278	35	,	,	PUNCT
cana-1242	278	36	issue	issue	NOUN
cana-1242	278	37	6	6	NUM
cana-1242	278	38	,	,	PUNCT
cana-1242	278	39	pp	pp	ADV
cana-1242	278	40	1132–1145	1132–1145	NUM
cana-1242	278	41	,	,	PUNCT
cana-1242	278	42	2022	2022	NUM
cana-1242	278	43	.	.	PUNCT
cana-1242	279	1	https://	https://	PROPN
cana-1242	279	2	doi.org/	doi.org/	ADJ
cana-1242	279	3	10.14778/	10.14778/	PROPN
cana-1242	279	4	3514061	3514061	NUM
cana-1242	279	5	.	.	PUNCT
cana-1242	280	1	3514062	3514062	NUM
cana-1242	281	1	[	[	X
cana-1242	281	2	8	8	NUM
cana-1242	281	3	]	]	X
cana-1242	281	4	pranav	pranav	PROPN
cana-1242	281	5	shetty	shetty	PROPN
cana-1242	281	6	and	and	CCONJ
cana-1242	281	7	suraj	suraj	PROPN
cana-1242	281	8	singh	singh	PROPN
cana-1242	281	9	,	,	PUNCT
cana-1242	281	10	“	"	PUNCT
cana-1242	281	11	hierarchical	hierarchical	ADJ
cana-1242	281	12	clustering	clustering	NOUN
cana-1242	281	13	:	:	PUNCT
cana-1242	281	14	a	a	DET
cana-1242	281	15	survey	survey	NOUN
cana-1242	281	16	”	"	PUNCT
cana-1242	281	17	,	,	PUNCT
cana-1242	281	18	international	international	ADJ
cana-1242	281	19	journal	journal	NOUN
cana-1242	281	20	of	of	ADP
cana-1242	281	21	applied	apply	VERB
cana-1242	281	22	research	research	NOUN
cana-1242	281	23	,	,	PUNCT
cana-1242	281	24	7(4	7(4	NUM
cana-1242	281	25	)	)	PUNCT
cana-1242	281	26	,	,	PUNCT
cana-1242	281	27	pp	pp	ADP
cana-1242	281	28	.	.	PUNCT
cana-1242	282	1	178	178	NUM
cana-1242	282	2	-	-	SYM
cana-1242	282	3	181	181	NUM
cana-1242	282	4	,	,	PUNCT
cana-1242	282	5	2021	2021	NUM
cana-1242	282	6	.	.	PUNCT
cana-1242	283	1	doi	doi	NOUN
cana-1242	283	2	:	:	PUNCT
cana-1242	283	3	https://doi.org/10.22271/allresearch.2021	https://doi.org/10.22271/allresearch.2021	NOUN
cana-1242	283	4	.	.	PUNCT
cana-1242	284	1	v7	v7	VERB
cana-1242	284	2	.	.	PUNCT
cana-1242	285	1	i4c	i4c	NOUN
cana-1242	285	2	.	.	NOUN
cana-1242	285	3	8484	8484	NUM
cana-1242	286	1	[	[	X
cana-1242	286	2	9	9	NUM
cana-1242	286	3	]	]	X
cana-1242	286	4	farhad	farhad	ADJ
cana-1242	286	5	zolfaghari	zolfaghari	PROPN
cana-1242	286	6	,	,	PUNCT
cana-1242	286	7	hassan	hassan	PROPN
cana-1242	286	8	khosravi	khosravi	VERB
cana-1242	286	9	,	,	PUNCT
cana-1242	286	10	alireza	alireza	PROPN
cana-1242	286	11	shahriyari	shahriyari	PROPN
cana-1242	286	12	,	,	PUNCT
cana-1242	286	13	mitra	mitra	PROPN
cana-1242	286	14	jabbari	jabbari	PROPN
cana-1242	286	15	,	,	PUNCT
cana-1242	286	16	azam	azam	PROPN
cana-1242	286	17	abolhasani	abolhasani	PROPN
cana-1242	286	18	,	,	PUNCT
cana-1242	286	19	“	"	PUNCT
cana-1242	286	20	hierarchical	hierarchical	ADJ
cana-1242	286	21	cluster	cluster	NOUN
cana-1242	286	22	analysis	analysis	NOUN
cana-1242	286	23	to	to	PART
cana-1242	286	24	identify	identify	VERB
cana-1242	286	25	the	the	DET
cana-1242	286	26	homogeneous	homogeneous	ADJ
cana-1242	286	27	desertification	desertification	NOUN
cana-1242	286	28	management	management	NOUN
cana-1242	286	29	units	unit	NOUN
cana-1242	286	30	”	"	PUNCT
cana-1242	286	31	,	,	PUNCT
cana-1242	286	32	plos|one	plos|one	NOUN
cana-1242	286	33	,	,	PUNCT
cana-1242	286	34	pp.1	pp.1	PROPN
cana-1242	286	35	-	-	PUNCT
cana-1242	286	36	21	21	NUM
cana-1242	286	37	,	,	PUNCT
cana-1242	286	38	2019	2019	NUM
cana-1242	286	39	.	.	PUNCT
cana-1242	287	1	https://doi	https://doi	X
cana-1242	287	2	.	.	PUNCT
cana-1242	288	1	org/	org/	PRON
cana-1242	288	2	10	10	NUM
cana-1242	288	3	.	.	PUNCT
cana-1242	289	1	1371	1371	NUM
cana-1242	289	2	/	/	SYM
cana-1242	289	3	journal	journal	NOUN
cana-1242	289	4	.	.	PUNCT
cana-1242	290	1	pone	pone	PROPN
cana-1242	290	2	.	.	PROPN
cana-1242	290	3	0226355	0226355	NUM
cana-1242	291	1	[	[	X
cana-1242	291	2	10	10	NUM
cana-1242	291	3	]	]	PUNCT
cana-1242	291	4	junyi	junyi	PROPN
cana-1242	291	5	zhou	zhou	PROPN
cana-1242	291	6	,	,	PUNCT
cana-1242	291	7	ying	ying	PROPN
cana-1242	291	8	zhang	zhang	PROPN
cana-1242	291	9	,	,	PUNCT
cana-1242	291	10	wanzhu	wanzhu	PROPN
cana-1242	291	11	tu	tu	PROPN
cana-1242	291	12	,	,	PUNCT
cana-1242	291	13	“	"	PUNCT
cana-1242	291	14	clustermld	clustermld	NOUN
cana-1242	291	15	:	:	PUNCT
cana-1242	291	16	an	an	DET
cana-1242	291	17	efficient	efficient	ADJ
cana-1242	291	18	hierarchical	hierarchical	ADJ
cana-1242	291	19	clustering	clustering	NOUN
cana-1242	291	20	method	method	NOUN
cana-1242	291	21	for	for	ADP
cana-1242	291	22	multivariate	multivariate	NOUN
cana-1242	291	23	longitudinal	longitudinal	ADJ
cana-1242	291	24	data	datum	NOUN
cana-1242	291	25	”	"	PUNCT
cana-1242	291	26	,	,	PUNCT
cana-1242	291	27	volume	volume	NOUN
cana-1242	291	28	32	32	NUM
cana-1242	291	29	,	,	PUNCT
cana-1242	291	30	issue	issue	NOUN
cana-1242	291	31	3	3	NUM
cana-1242	291	32	,	,	PUNCT
cana-1242	291	33	pp	pp	ADJ
cana-1242	291	34	.	.	PUNCT
cana-1242	292	1	1131	1131	NUM
cana-1242	292	2	-	-	SYM
cana-1242	292	3	1144	1144	NUM
cana-1242	292	4	,	,	PUNCT
cana-1242	292	5	2023	2023	NUM
cana-1242	292	6	.	.	PUNCT
cana-1242	293	1	https://doi	https://doi	X
cana-1242	293	2	.	.	PUNCT
cana-1242	294	1	org/10.1080/	org/10.1080/	NUM
cana-1242	294	2	10618600.2022.2149540	10618600.2022.2149540	NUM
cana-1242	294	3	[	[	X
cana-1242	294	4	11	11	NUM
cana-1242	294	5	]	]	PUNCT
cana-1242	294	6	dajun	dajun	NOUN
cana-1242	294	7	si	si	X
cana-1242	294	8	,	,	PUNCT
cana-1242	294	9	wenyue	wenyue	PROPN
cana-1242	294	10	hu	hu	PROPN
cana-1242	294	11	,	,	PUNCT
cana-1242	294	12	zilin	zilin	PROPN
cana-1242	294	13	deng	deng	PROPN
cana-1242	294	14	,	,	PUNCT
cana-1242	294	15	yanhui	yanhui	PROPN
cana-1242	294	16	xu	xu	PROPN
cana-1242	294	17	,	,	PUNCT
cana-1242	294	18	“	"	PUNCT
cana-1242	294	19	fair	fair	ADJ
cana-1242	294	20	hierarchical	hierarchical	ADJ
cana-1242	294	21	clustering	clustering	NOUN
cana-1242	294	22	of	of	ADP
cana-1242	294	23	substations	substation	NOUN
cana-1242	294	24	based	base	VERB
cana-1242	294	25	on	on	ADP
cana-1242	294	26	gini	gini	PROPN
cana-1242	294	27	coefficient	coefficient	PROPN
cana-1242	294	28	”	"	PUNCT
cana-1242	294	29	,	,	PUNCT
cana-1242	294	30	global	global	ADJ
cana-1242	294	31	energy	energy	NOUN
cana-1242	294	32	interconnection	interconnection	NOUN
cana-1242	294	33	,	,	PUNCT
cana-1242	294	34	elseiver	elseiver	NOUN
cana-1242	294	35	publication	publication	NOUN
cana-1242	294	36	,	,	PUNCT
cana-1242	294	37	volume	volume	NOUN
cana-1242	294	38	4	4	NUM
cana-1242	294	39	,	,	PUNCT
cana-1242	294	40	number	number	NOUN
cana-1242	294	41	6	6	NUM
cana-1242	294	42	,	,	PUNCT
cana-1242	294	43	pp	pp	ADJ
cana-1242	294	44	.	.	PUNCT
cana-1242	295	1	576	576	NUM
cana-1242	295	2	-	-	SYM
cana-1242	295	3	586	586	NUM
cana-1242	295	4	,	,	PUNCT
cana-1242	295	5	december	december	PROPN
cana-1242	295	6	2021	2021	NUM
cana-1242	295	7	.	.	PUNCT
cana-1242	296	1	https://	https://	PROPN
cana-1242	296	2	www	www	PROPN
cana-1242	296	3	.	.	PROPN
cana-1242	296	4	sciencedirect	sciencedirect	PROPN
cana-1242	296	5	.	.	PUNCT
cana-1242	297	1	com/	com/	NOUN
cana-1242	297	2	science/	science/	NUM
cana-1242	297	3	article	article	NOUN
cana-1242	297	4	/	/	SYM
cana-1242	297	5	pii	pii	PROPN
cana-1242	297	6	/	/	SYM
cana-1242	297	7	s2096511	s2096511	PROPN
cana-1242	297	8	722000093	722000093	NUM
cana-1242	298	1	[	[	X
cana-1242	298	2	12	12	NUM
cana-1242	298	3	]	]	PUNCT
cana-1242	298	4	mohamed	mohamed	PROPN
cana-1242	298	5	s.	s.	PROPN
cana-1242	298	6	halawa	halawa	PROPN
cana-1242	298	7	,	,	PUNCT
cana-1242	298	8	rebeca	rebeca	PROPN
cana-1242	298	9	p.	p.	PROPN
cana-1242	298	10	díaz	díaz	PROPN
cana-1242	298	11	redondo	redondo	PROPN
cana-1242	298	12	,	,	PUNCT
cana-1242	298	13	ana	ana	PROPN
cana-1242	298	14	fernández	fernández	PROPN
cana-1242	298	15	vilas	vilas	PROPN
cana-1242	298	16	,	,	PUNCT
cana-1242	298	17	“	"	PUNCT
cana-1242	298	18	unsupervised	unsupervised	ADJ
cana-1242	298	19	kpis	kpis	NOUN
cana-1242	298	20	-	-	PUNCT
cana-1242	298	21	based	base	VERB
cana-1242	298	22	clustering	clustering	NOUN
cana-1242	298	23	of	of	ADP
cana-1242	298	24	jobs	job	NOUN
cana-1242	298	25	in	in	ADP
cana-1242	298	26	hpc	hpc	PROPN
cana-1242	298	27	data	data	NOUN
cana-1242	298	28	centers	center	NOUN
cana-1242	298	29	”	"	PUNCT
cana-1242	298	30	,	,	PUNCT
cana-1242	298	31	sensors	sensor	NOUN
cana-1242	298	32	,	,	PUNCT
cana-1242	298	33	mdpi	mdpi	PROPN
cana-1242	298	34	,	,	PUNCT
cana-1242	298	35	pp.1	pp.1	PROPN
cana-1242	298	36	-	-	PUNCT
cana-1242	298	37	20	20	NUM
cana-1242	298	38	,	,	PUNCT
cana-1242	298	39	2020	2020	NUM
cana-1242	298	40	.	.	PUNCT
cana-1242	299	1	doi:10.3390	doi:10.3390	NOUN
cana-1242	299	2	/	/	SYM
cana-1242	299	3	s20154111	s20154111	PROPN
cana-1242	300	1	[	[	PUNCT
cana-1242	300	2	13	13	NUM
cana-1242	300	3	]	]	X
cana-1242	300	4	lifeng	lifeng	PROPN
cana-1242	300	5	yin	yin	PROPN
cana-1242	300	6	,	,	PUNCT
cana-1242	300	7	menglin	menglin	PROPN
cana-1242	300	8	li	li	PROPN
cana-1242	300	9	,	,	PUNCT
cana-1242	300	10	huayue	huayue	PROPN
cana-1242	300	11	chen	chen	PROPN
cana-1242	300	12	,	,	PUNCT
cana-1242	300	13	wu	wu	PROPN
cana-1242	300	14	deng	deng	PROPN
cana-1242	300	15	,	,	PUNCT
cana-1242	300	16	“	"	PUNCT
cana-1242	300	17	an	an	DET
cana-1242	300	18	improved	improve	VERB
cana-1242	300	19	hierarchical	hierarchical	ADJ
cana-1242	300	20	clustering	clustering	ADJ
cana-1242	300	21	algorithm	algorithm	NOUN
cana-1242	300	22	based	base	VERB
cana-1242	300	23	on	on	ADP
cana-1242	300	24	the	the	DET
cana-1242	300	25	idea	idea	NOUN
cana-1242	300	26	of	of	ADP
cana-1242	300	27	population	population	NOUN
cana-1242	300	28	reproduction	reproduction	NOUN
cana-1242	300	29	and	and	CCONJ
cana-1242	300	30	fusion	fusion	NOUN
cana-1242	300	31	,	,	PUNCT
cana-1242	300	32	electronics	electronic	NOUN
cana-1242	300	33	,	,	PUNCT
cana-1242	300	34	mdpi	mdpi	PROPN
cana-1242	300	35	,	,	PUNCT
cana-1242	300	36	pp.1	pp.1	PROPN
cana-1242	300	37	-	-	PUNCT
cana-1242	300	38	19	19	NUM
cana-1242	300	39	,	,	PUNCT
cana-1242	300	40	2022	2022	NUM
cana-1242	300	41	.	.	PUNCT
cana-1242	301	1	https://	https://	PROPN
cana-1242	301	2	doi.org/10.3390/electronics11172735	doi.org/10.3390/electronics11172735	NOUN
cana-1242	302	1	[	[	X
cana-1242	302	2	14	14	NUM
cana-1242	302	3	]	]	X
cana-1242	302	4	joelson	joelson	PROPN
cana-1242	302	5	antonio	antonio	PROPN
cana-1242	302	6	dos	dos	PROPN
cana-1242	302	7	santos	santos	PROPN
cana-1242	302	8	,	,	PUNCT
cana-1242	302	9	talat	talat	PROPN
cana-1242	302	10	iqbal	iqbal	PROPN
cana-1242	302	11	syed	syed	PROPN
cana-1242	302	12	,	,	PUNCT
cana-1242	302	13	murilo	murilo	PROPN
cana-1242	302	14	c.	c.	PROPN
cana-1242	302	15	naldi	naldi	PROPN
cana-1242	302	16	,	,	PUNCT
cana-1242	302	17	ricardo	ricardo	PROPN
cana-1242	302	18	j.	j.	PROPN
cana-1242	302	19	g.	g.	PROPN
cana-1242	302	20	b.	b.	PROPN
cana-1242	302	21	campello	campello	PROPN
cana-1242	302	22	,	,	PUNCT
cana-1242	302	23	joerg	joerg	PROPN
cana-1242	302	24	sander	sander	PROPN
cana-1242	302	25	,	,	PUNCT
cana-1242	302	26	“	"	PUNCT
cana-1242	303	1	hierarchical	hierarchical	ADJ
cana-1242	303	2	density	density	NOUN
cana-1242	303	3	-	-	PUNCT
cana-1242	303	4	based	base	VERB
cana-1242	303	5	clustering	clustering	NOUN
cana-1242	303	6	using	use	VERB
cana-1242	303	7	mapreduce	mapreduce	NOUN
cana-1242	303	8	”	"	PUNCT
cana-1242	303	9	,	,	PUNCT
cana-1242	303	10	ieee	ieee	NOUN
cana-1242	303	11	transactions	transaction	NOUN
cana-1242	303	12	on	on	ADP
cana-1242	303	13	big	big	ADJ
cana-1242	303	14	data	datum	NOUN
cana-1242	303	15	,	,	PUNCT
cana-1242	303	16	vol	vol	NOUN
cana-1242	303	17	.	.	PROPN
cana-1242	304	1	7	7	NUM
cana-1242	304	2	,	,	PUNCT
cana-1242	304	3	no	no	INTJ
cana-1242	304	4	.	.	NOUN
cana-1242	304	5	1	1	NUM
cana-1242	304	6	,	,	PUNCT
cana-1242	304	7	pp	pp	ADJ
cana-1242	304	8	.	.	PUNCT
cana-1242	305	1	102	102	NUM
cana-1242	305	2	-	-	SYM
cana-1242	305	3	114	114	NUM
cana-1242	305	4	,	,	PUNCT
cana-1242	305	5	january	january	PROPN
cana-1242	305	6	-	-	PUNCT
cana-1242	305	7	march	march	PROPN
cana-1242	305	8	2021	2021	NUM
cana-1242	305	9	,	,	PUNCT
cana-1242	305	10	.	.	PUNCT
cana-1242	306	1	doi	doi	NOUN
cana-1242	306	2	:	:	PUNCT
cana-1242	306	3	10.1109	10.1109	NUM
cana-1242	306	4	/tbdata	/tbdata	NOUN
cana-1242	307	1	2019.2907624	2019.2907624	NUM
cana-1242	307	2	[	[	X
cana-1242	307	3	15	15	NUM
cana-1242	307	4	]	]	X
cana-1242	307	5	praveen	praveen	PROPN
cana-1242	307	6	.p	.p	PROPN
cana-1242	307	7	,	,	PUNCT
cana-1242	307	8	“	"	PUNCT
cana-1242	307	9	an	an	DET
cana-1242	307	10	efficient	efficient	ADJ
cana-1242	307	11	linkage	linkage	NOUN
cana-1242	307	12	criterion	criterion	NOUN
cana-1242	307	13	for	for	ADP
cana-1242	307	14	creating	create	VERB
cana-1242	307	15	clusters	cluster	NOUN
cana-1242	307	16	in	in	ADP
cana-1242	307	17	hierarchical	hierarchical	ADJ
cana-1242	307	18	method	method	NOUN
cana-1242	307	19	”	"	PUNCT
cana-1242	307	20	,	,	PUNCT
cana-1242	307	21	international	international	ADJ
cana-1242	307	22	journal	journal	NOUN
cana-1242	307	23	of	of	ADP
cana-1242	307	24	future	future	ADJ
cana-1242	307	25	generation	generation	NOUN
cana-1242	307	26	communication	communication	NOUN
cana-1242	307	27	and	and	CCONJ
cana-1242	307	28	networking	networking	NOUN
cana-1242	307	29	,	,	PUNCT
cana-1242	307	30	vol	vol	NOUN
cana-1242	307	31	.	.	PROPN
cana-1242	307	32	12	12	NUM
cana-1242	307	33	,	,	PUNCT
cana-1242	307	34	no	no	INTJ
cana-1242	307	35	.	.	NOUN
cana-1242	307	36	5	5	NUM
cana-1242	307	37	,	,	PUNCT
cana-1242	307	38	pp	pp	ADJ
cana-1242	307	39	.	.	PUNCT
cana-1242	307	40	294300	294300	NUM
cana-1242	307	41	,	,	PUNCT
cana-1242	307	42	2019	2019	NUM
cana-1242	307	43	.	.	PUNCT
cana-1242	308	1	https://www.researchgate	https://www.researchgate	PROPN
cana-1242	308	2	.	.	PUNCT
cana-1242	309	1	net/	net/	PROPN
cana-1242	309	2	publication/339828649	publication/339828649	NOUN
cana-1242	309	3	_	_	PUNCT
cana-1242	309	4	an_efficient	an_efficient	NOUN
cana-1242	309	5	_	_	NOUN
cana-1242	310	1	linkage_criterion_for_creating_clusters_in_hierarchical_method	linkage_criterion_for_creating_clusters_in_hierarchical_method	NOUN
cana-1242	310	2	[	[	X
cana-1242	310	3	16	16	NUM
cana-1242	310	4	]	]	X
cana-1242	310	5	william	william	PROPN
cana-1242	310	6	w.	w.	PROPN
cana-1242	310	7	tsoa	tsoa	PROPN
cana-1242	310	8	,	,	PUNCT
cana-1242	310	9	c.	c.	PROPN
cana-1242	310	10	doga	doga	PROPN
cana-1242	310	11	demirhana	demirhana	PROPN
cana-1242	310	12	,	,	PUNCT
cana-1242	310	13	clara	clara	PROPN
cana-1242	310	14	f.	f.	PROPN
cana-1242	310	15	heubergerc	heubergerc	PROPN
cana-1242	310	16	,	,	PUNCT
cana-1242	310	17	joseph	joseph	PROPN
cana-1242	310	18	b.	b.	PROPN
cana-1242	310	19	powelld	powelld	PROPN
cana-1242	310	20	,	,	PUNCT
cana-1242	310	21	efstratios	efstratio	NOUN
cana-1242	310	22	n.	n.	PROPN
cana-1242	310	23	pistikopoulos	pistikopoulo	NOUN
cana-1242	310	24	,	,	PUNCT
cana-1242	310	25	“	"	PUNCT
cana-1242	310	26	a	a	DET
cana-1242	310	27	hierarchical	hierarchical	ADJ
cana-1242	310	28	clustering	clustering	ADJ
cana-1242	310	29	decomposition	decomposition	NOUN
cana-1242	310	30	algorithm	algorithm	NOUN
cana-1242	310	31	for	for	ADP
cana-1242	310	32	optimizing	optimize	VERB
cana-1242	310	33	renewable	renewable	ADJ
cana-1242	310	34	power	power	NOUN
cana-1242	310	35	systems	system	NOUN
cana-1242	310	36	with	with	ADP
cana-1242	310	37	storage	storage	NOUN
cana-1242	310	38	”	"	PUNCT
cana-1242	310	39	,	,	PUNCT
cana-1242	310	40	applied	apply	VERB
cana-1242	310	41	energy	energy	NOUN
cana-1242	310	42	,	,	PUNCT
cana-1242	310	43	vol	vol	NOUN
cana-1242	310	44	.	.	PROPN
cana-1242	310	45	270	270	NUM
cana-1242	310	46	,	,	PUNCT
cana-1242	310	47	elseivier	elseivier	NOUN
cana-1242	310	48	,	,	PUNCT
cana-1242	310	49	pp.1	pp.1	NOUN
cana-1242	310	50	-	-	PUNCT
cana-1242	310	51	10	10	NUM
cana-1242	310	52	,	,	PUNCT
cana-1242	310	53	2020	2020	NUM
cana-1242	310	54	,	,	PUNCT
cana-1242	310	55	.	.	PUNCT
cana-1242	311	1	https://	https://	PROPN
cana-1242	311	2	www	www	PROPN
cana-1242	311	3	.	.	PROPN
cana-1242	311	4	sciencedirect.com/	sciencedirect.com/	PROPN
cana-1242	311	5	science	science	NOUN
cana-1242	311	6	/article	/article	NOUN
cana-1242	311	7	/abs/	/abs/	SYM
cana-1242	312	1	pii/	pii/	ADJ
cana-1242	312	2	s0306261920307029?via%3dihub	s0306261920307029?via%3dihub	PROPN
cana-1242	312	3	[	[	X
cana-1242	312	4	17	17	NUM
cana-1242	312	5	]	]	X
cana-1242	312	6	karli	karli	PROPN
cana-1242	312	7	eka	eka	PROPN
cana-1242	312	8	setiawana	setiawana	PROPN
cana-1242	312	9	,	,	PUNCT
cana-1242	312	10	afdhal	afdhal	PROPN
cana-1242	312	11	kurniawana	kurniawana	PROPN
cana-1242	312	12	,	,	PUNCT
cana-1242	312	13	andry	andry	PROPN
cana-1242	312	14	chowandaa	chowandaa	PROPN
cana-1242	312	15	,	,	PUNCT
cana-1242	312	16	derwin	derwin	PROPN
cana-1242	312	17	suhartono	suhartono	NOUN
cana-1242	312	18	,	,	PUNCT
cana-1242	312	19	“	"	PUNCT
cana-1242	312	20	clustering	clustering	NOUN
cana-1242	312	21	models	model	NOUN
cana-1242	312	22	for	for	ADP
cana-1242	312	23	hospitals	hospital	NOUN
cana-1242	312	24	in	in	ADP
cana-1242	312	25	jakarta	jakarta	PROPN
cana-1242	312	26	using	use	VERB
cana-1242	312	27	fuzzy	fuzzy	ADJ
cana-1242	312	28	c	c	NOUN
cana-1242	312	29	-	-	PUNCT
cana-1242	312	30	means	mean	NOUN
cana-1242	312	31	and	and	CCONJ
cana-1242	312	32	k	k	NOUN
cana-1242	312	33	-	-	PUNCT
cana-1242	312	34	means	means	ADJ
cana-1242	312	35	,	,	PUNCT
cana-1242	312	36	7th	7th	ADJ
cana-1242	312	37	international	international	ADJ
cana-1242	312	38	conference	conference	NOUN
cana-1242	312	39	on	on	ADP
cana-1242	312	40	computer	computer	NOUN
cana-1242	312	41	science	science	NOUN
cana-1242	312	42	and	and	CCONJ
cana-1242	312	43	computational	computational	ADJ
cana-1242	312	44	intelligence	intelligence	NOUN
cana-1242	312	45	2022	2022	NUM
cana-1242	312	46	,	,	PUNCT
cana-1242	312	47	elseiver	elseiver	NOUN
cana-1242	312	48	,	,	PUNCT
cana-1242	312	49	procedia	procedia	PROPN
cana-1242	312	50	computer	computer	NOUN
cana-1242	312	51	science	science	NOUN
cana-1242	312	52	216	216	NUM
cana-1242	312	53	,	,	PUNCT
cana-1242	312	54	pp	pp	ADJ
cana-1242	312	55	.	.	PUNCT
cana-1242	313	1	356–363	356–363	NUM
cana-1242	313	2	,	,	PUNCT
cana-1242	313	3	2023	2023	NUM
cana-1242	313	4	,	,	PUNCT
cana-1242	313	5	https://	https://	NOUN
cana-1242	313	6	doi.org	doi.org	NOUN
cana-1242	313	7	/10.1016/	/10.1016/	PUNCT
cana-1242	313	8	j.procs	j.procs	PROPN
cana-1242	313	9	.	.	PUNCT
cana-1242	313	10	2022	2022	NUM
cana-1242	313	11	.	.	PUNCT
cana-1242	314	1	12.146	12.146	NUM
cana-1242	314	2	[	[	SYM
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cana-1242	314	4	]	]	X
cana-1242	314	5	joaquín	joaquín	PROPN
cana-1242	314	6	pérez	pérez	PROPN
cana-1242	314	7	-	-	PUNCT
cana-1242	314	8	ortega	ortega	PROPN
cana-1242	314	9	,	,	PUNCT
cana-1242	314	10	sandra	sandra	PROPN
cana-1242	314	11	silvia	silvia	PROPN
cana-1242	314	12	roblero	roblero	PROPN
cana-1242	314	13	-	-	PUNCT
cana-1242	314	14	aguilar	aguilar	PROPN
cana-1242	314	15	,	,	PUNCT
cana-1242	314	16	nelva	nelva	ADJ
cana-1242	314	17	nely	nely	ADV
cana-1242	314	18	almanza	almanza	PROPN
cana-1242	314	19	-	-	PUNCT
cana-1242	314	20	ortega	ortega	PROPN
cana-1242	314	21	,	,	PUNCT
cana-1242	314	22	juan	juan	PROPN
cana-1242	314	23	frausto	frausto	PROPN
cana-1242	314	24	solís	solís	PROPN
cana-1242	314	25	,	,	PUNCT
cana-1242	314	26	crispín	crispín	NOUN
cana-1242	314	27	zavala	zavala	NOUN
cana-1242	314	28	-	-	PUNCT
cana-1242	314	29	díaz	díaz	NOUN
cana-1242	314	30	,	,	PUNCT
cana-1242	314	31	yasmín	yasmín	NOUN
cana-1242	314	32	hernández	hernández	PROPN
cana-1242	314	33	,	,	PUNCT
cana-1242	314	34	vanesa	vanesa	PROPN
cana-1242	314	35	landero	landero	NOUN
cana-1242	314	36	-	-	PUNCT
cana-1242	314	37	nájera	nájera	NOUN
cana-1242	314	38	,	,	PUNCT
cana-1242	314	39	“	"	PUNCT
cana-1242	314	40	hybrid	hybrid	ADJ
cana-1242	314	41	fuzzy	fuzzy	ADJ
cana-1242	314	42	c	c	NOUN
cana-1242	314	43	-	-	PUNCT
cana-1242	314	44	means	mean	VERB
cana-1242	314	45	clustering	cluster	VERB
cana-1242	314	46	algorithm	algorithm	NOUN
cana-1242	314	47	oriented	orient	VERB
cana-1242	314	48	to	to	ADP
cana-1242	314	49	big	big	ADJ
cana-1242	314	50	data	datum	NOUN
cana-1242	314	51	realms	realm	NOUN
cana-1242	314	52	”	"	PUNCT
cana-1242	314	53	,	,	PUNCT
cana-1242	314	54	axioms	axiom	NOUN
cana-1242	314	55	,	,	PUNCT
cana-1242	314	56	mdpi	mdpi	PROPN
cana-1242	314	57	,	,	PUNCT
cana-1242	314	58	pp.1	pp.1	PROPN
cana-1242	314	59	-	-	PUNCT
cana-1242	314	60	16	16	NUM
cana-1242	314	61	,	,	PUNCT
cana-1242	314	62	2022	2022	NUM
cana-1242	314	63	,	,	PUNCT
cana-1242	314	64	.	.	PUNCT
cana-1242	315	1	https://	https://	PROPN
cana-1242	315	2	doi	doi	PROPN
cana-1242	315	3	.	.	PUNCT
cana-1242	316	1	org/	org/	PRON
cana-1242	316	2	10.3390	10.3390	NUM
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cana-1242	316	4	axioms11080377	axioms11080377	PROPN
cana-1242	317	1	[	[	X
cana-1242	317	2	19	19	NUM
cana-1242	317	3	]	]	X
cana-1242	317	4	seyyed	seyye	VERB
cana-1242	317	5	mohammad	mohammad	PROPN
cana-1242	317	6	razavi	razavi	PROPN
cana-1242	317	7	,	,	PUNCT
cana-1242	317	8	mohsen	mohsen	PROPN
cana-1242	317	9	kahani	kahani	PROPN
cana-1242	317	10	,	,	PUNCT
cana-1242	317	11	samad	samad	PROPN
cana-1242	317	12	paydar	paydar	PROPN
cana-1242	317	13	,	,	PUNCT
cana-1242	317	14	“	"	PUNCT
cana-1242	317	15	big	big	ADJ
cana-1242	317	16	data	datum	NOUN
cana-1242	317	17	fuzzy	fuzzy	ADJ
cana-1242	317	18	c	c	NOUN
cana-1242	317	19	-	-	PUNCT
cana-1242	317	20	means	means	NOUN
cana-1242	317	21	algorithm	algorithm	NOUN
cana-1242	317	22	based	base	VERB
cana-1242	317	23	on	on	ADP
cana-1242	317	24	bee	bee	NOUN
cana-1242	317	25	colony	colony	NOUN
cana-1242	317	26	optimization	optimization	NOUN
cana-1242	317	27	using	use	VERB
cana-1242	317	28	an	an	DET
cana-1242	317	29	apache	apache	NOUN
cana-1242	317	30	hbase	hbase	NOUN
cana-1242	317	31	”	"	PUNCT
cana-1242	317	32	,	,	PUNCT
cana-1242	317	33	journal	journal	NOUN
cana-1242	317	34	of	of	ADP
cana-1242	317	35	bigdata	bigdata	PROPN
cana-1242	317	36	,	,	PUNCT
cana-1242	317	37	springer	springer	NOUN
cana-1242	317	38	open	open	NOUN
cana-1242	317	39	,	,	PUNCT
cana-1242	317	40	pp.1	pp.1	PROPN
cana-1242	317	41	-	-	PUNCT
cana-1242	317	42	22	22	NUM
cana-1242	317	43	,	,	PUNCT
cana-1242	317	44	2022	2022	NUM
cana-1242	317	45	,	,	PUNCT
cana-1242	317	46	.	.	PUNCT
cana-1242	318	1	https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00450-w	https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00450-w	NOUN
cana-1242	318	2	communications	communication	NOUN
cana-1242	318	3	on	on	ADP
cana-1242	318	4	applied	apply	VERB
cana-1242	318	5	nonlinear	nonlinear	ADJ
cana-1242	318	6	analysis	analysis	NOUN
cana-1242	318	7	issn	issn	NOUN
cana-1242	318	8	:	:	PUNCT
cana-1242	318	9	1074	1074	NUM
cana-1242	318	10	-	-	PUNCT
cana-1242	318	11	133x	133x	NUM
cana-1242	318	12	vol	vol	NOUN
cana-1242	318	13	31	31	NUM
cana-1242	318	14	no	no	NOUN
cana-1242	318	15	.	.	PUNCT
cana-1242	319	1	6s	6s	NUM
cana-1242	319	2	(	(	PUNCT
cana-1242	319	3	2024	2024	NUM
cana-1242	319	4	)	)	PUNCT
cana-1242	319	5	553	553	NUM
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cana-1242	320	1	[	[	X
cana-1242	320	2	20	20	NUM
cana-1242	320	3	]	]	X
cana-1242	320	4	ahmad	ahmad	PROPN
cana-1242	320	5	afif	afif	PROPN
cana-1242	320	6	supianto	supianto	PROPN
cana-1242	320	7	,	,	PUNCT
cana-1242	320	8	nur	nur	VERB
cana-1242	320	9	sa’diyah	sa’diyah	NOUN
cana-1242	320	10	,	,	PUNCT
cana-1242	320	11	candra	candra	PROPN
cana-1242	320	12	dewi	dewi	PROPN
cana-1242	320	13	,	,	PUNCT
cana-1242	320	14	“	"	PUNCT
cana-1242	320	15	improvements	improvement	NOUN
cana-1242	320	16	of	of	ADP
cana-1242	320	17	fuzzy	fuzzy	ADJ
cana-1242	320	18	c	c	NOUN
cana-1242	320	19	-	-	PUNCT
cana-1242	320	20	means	mean	VERB
cana-1242	320	21	clustering	clustering	ADJ
cana-1242	320	22	performance	performance	NOUN
cana-1242	320	23	using	use	VERB
cana-1242	320	24	particle	particle	NOUN
cana-1242	320	25	swarm	swarm	NOUN
cana-1242	320	26	optimization	optimization	NOUN
cana-1242	320	27	on	on	ADP
cana-1242	320	28	student	student	NOUN
cana-1242	320	29	grouping	grouping	NOUN
cana-1242	320	30	based	base	VERB
cana-1242	320	31	on	on	ADP
cana-1242	320	32	learning	learn	VERB
cana-1242	320	33	activity	activity	NOUN
cana-1242	320	34	in	in	ADP
cana-1242	320	35	a	a	DET
cana-1242	320	36	digital	digital	ADJ
cana-1242	320	37	learning	learning	NOUN
cana-1242	320	38	media	medium	NOUN
cana-1242	320	39	”	"	PUNCT
cana-1242	320	40	,	,	PUNCT
cana-1242	320	41	proceedings	proceeding	NOUN
cana-1242	320	42	of	of	ADP
cana-1242	320	43	the	the	DET
cana-1242	320	44	5th	5th	ADJ
cana-1242	320	45	international	international	ADJ
cana-1242	320	46	conference	conference	NOUN
cana-1242	320	47	on	on	ADP
cana-1242	320	48	sustainable	sustainable	ADJ
cana-1242	320	49	information	information	NOUN
cana-1242	320	50	engineering	engineering	NOUN
cana-1242	320	51	and	and	CCONJ
cana-1242	320	52	technology	technology	NOUN
cana-1242	320	53	,	,	PUNCT
cana-1242	320	54	pp.239	pp.239	CCONJ
cana-1242	320	55	–	–	PUNCT
cana-1242	320	56	243	243	NUM
cana-1242	320	57	,	,	PUNCT
cana-1242	320	58	november2020	november2020	PROPN
cana-1242	320	59	.	.	PUNCT
cana-1242	321	1	https:/	https:/	PROPN
cana-1242	321	2	/doi.org/	/doi.org/	PROPN
cana-1242	322	1	10.1145/	10.1145/	PROPN
cana-1242	322	2	3427423	3427423	NUM
cana-1242	322	3	.	.	PUNCT
cana-1242	323	1	3427449	3427449	NUM
cana-1242	323	2	author	author	NOUN
cana-1242	323	3	profile	profile	PROPN
cana-1242	323	4	dr	dr	PROPN
cana-1242	323	5	.	.	PROPN
cana-1242	323	6	s.	s.	PROPN
cana-1242	323	7	sukumaran	sukumaran	PROPN
cana-1242	323	8	,	,	PUNCT
cana-1242	323	9	working	work	VERB
cana-1242	323	10	as	as	ADP
cana-1242	323	11	associate	associate	NOUN
cana-1242	323	12	professor	professor	NOUN
cana-1242	323	13	,	,	PUNCT
cana-1242	323	14	department	department	NOUN
cana-1242	323	15	of	of	ADP
cana-1242	323	16	computer	computer	NOUN
cana-1242	323	17	science	science	NOUN
cana-1242	323	18	(	(	PUNCT
cana-1242	323	19	aided	aid	VERB
cana-1242	323	20	)	)	PUNCT
cana-1242	323	21	in	in	ADP
cana-1242	323	22	erode	erode	ADJ
cana-1242	323	23	arts	art	NOUN
cana-1242	323	24	and	and	CCONJ
cana-1242	323	25	science	science	PROPN
cana-1242	323	26	college	college	PROPN
cana-1242	323	27	,	,	PUNCT
cana-1242	323	28	erode	erode	VERB
cana-1242	323	29	,	,	PUNCT
cana-1242	323	30	tamilnadu	tamilnadu	NOUN
cana-1242	323	31	,	,	PUNCT
cana-1242	323	32	india	india	PROPN
cana-1242	323	33	.	.	PUNCT
cana-1242	324	1	he	he	PRON
cana-1242	324	2	is	be	AUX
cana-1242	324	3	a	a	DET
cana-1242	324	4	member	member	NOUN
cana-1242	324	5	of	of	ADP
cana-1242	324	6	board	board	NOUN
cana-1242	324	7	of	of	ADP
cana-1242	324	8	studies	study	NOUN
cana-1242	324	9	in	in	ADP
cana-1242	324	10	various	various	ADJ
cana-1242	324	11	autonomous	autonomous	ADJ
cana-1242	324	12	colleges	college	NOUN
cana-1242	324	13	and	and	CCONJ
cana-1242	324	14	universities	university	NOUN
cana-1242	324	15	.	.	PUNCT
cana-1242	325	1	in	in	ADP
cana-1242	325	2	his	his	PRON
cana-1242	325	3	35	35	NUM
cana-1242	325	4	years	year	NOUN
cana-1242	325	5	of	of	ADP
cana-1242	325	6	teaching	teaching	NOUN
cana-1242	325	7	experience	experience	NOUN
cana-1242	325	8	,	,	PUNCT
cana-1242	325	9	he	he	PRON
cana-1242	325	10	has	have	AUX
cana-1242	325	11	supervised	supervise	VERB
cana-1242	325	12	more	more	ADJ
cana-1242	325	13	than	than	ADP
cana-1242	325	14	55	55	NUM
cana-1242	325	15	m.phil	m.phil	NOUN
cana-1242	325	16	research	research	NOUN
cana-1242	325	17	works	work	NOUN
cana-1242	325	18	,	,	PUNCT
cana-1242	325	19	guided	guide	VERB
cana-1242	325	20	23	23	NUM
cana-1242	325	21	ph.d	ph.d	PROPN
cana-1242	325	22	research	research	NOUN
cana-1242	325	23	works	work	NOUN
cana-1242	325	24	and	and	CCONJ
cana-1242	325	25	still	still	ADV
cana-1242	325	26	continuing	continue	VERB
cana-1242	325	27	.	.	PUNCT
cana-1242	326	1	he	he	PRON
cana-1242	326	2	has	have	AUX
cana-1242	326	3	presented	present	VERB
cana-1242	326	4	,	,	PUNCT
cana-1242	326	5	published	publish	VERB
cana-1242	326	6	around	around	ADP
cana-1242	326	7	80	80	NUM
cana-1242	326	8	research	research	NOUN
cana-1242	326	9	papers	paper	NOUN
cana-1242	326	10	in	in	ADP
cana-1242	326	11	national	national	ADJ
cana-1242	326	12	,	,	PUNCT
cana-1242	326	13	international	international	ADJ
cana-1242	326	14	conferences	conference	NOUN
cana-1242	326	15	and	and	CCONJ
cana-1242	326	16	peer	peer	NOUN
cana-1242	326	17	reviewed	review	VERB
cana-1242	326	18	journals	journal	NOUN
cana-1242	326	19	.	.	PUNCT
cana-1242	327	1	his	his	PRON
cana-1242	327	2	area	area	NOUN
cana-1242	327	3	of	of	ADP
cana-1242	327	4	research	research	NOUN
cana-1242	327	5	interest	interest	NOUN
cana-1242	327	6	includes	include	VERB
cana-1242	327	7	digital	digital	ADJ
cana-1242	327	8	image	image	NOUN
cana-1242	327	9	processing	processing	NOUN
cana-1242	327	10	and	and	CCONJ
cana-1242	327	11	data	datum	NOUN
cana-1242	327	12	mining	mining	NOUN
cana-1242	327	13	.	.	PUNCT
cana-1242	328	1	s.sivasankari	s.sivasankari	NOUN
cana-1242	328	2	,	,	PUNCT
cana-1242	328	3	has	have	AUX
cana-1242	328	4	completed	complete	VERB
cana-1242	328	5	b.sc	b.sc	PROPN
cana-1242	328	6	(	(	PUNCT
cana-1242	328	7	computer	computer	NOUN
cana-1242	328	8	science	science	NOUN
cana-1242	328	9	)	)	PUNCT
cana-1242	328	10	in	in	ADP
cana-1242	328	11	affiliated	affiliated	ADJ
cana-1242	328	12	college	college	NOUN
cana-1242	328	13	of	of	ADP
cana-1242	328	14	madurai	madurai	PROPN
cana-1242	328	15	kamaraj	kamaraj	ADJ
cana-1242	328	16	university	university	NOUN
cana-1242	328	17	,	,	PUNCT
cana-1242	328	18	m.c.a	m.c.a	NOUN
cana-1242	328	19	at	at	ADP
cana-1242	328	20	bharathiar	bharathiar	PROPN
cana-1242	328	21	university	university	PROPN
cana-1242	328	22	,	,	PUNCT
cana-1242	328	23	coimbatore	coimbatore	NOUN
cana-1242	328	24	in	in	ADP
cana-1242	328	25	distance	distance	NOUN
cana-1242	328	26	education	education	NOUN
cana-1242	328	27	.	.	PUNCT
cana-1242	329	1	she	she	PRON
cana-1242	329	2	has	have	AUX
cana-1242	329	3	awarded	award	VERB
cana-1242	329	4	m.phil	m.phil	NOUN
cana-1242	329	5	in	in	ADP
cana-1242	329	6	data	datum	NOUN
cana-1242	329	7	mining	mining	NOUN
cana-1242	329	8	from	from	ADP
cana-1242	329	9	bharathiar	bharathiar	PROPN
cana-1242	329	10	university	university	PROPN
cana-1242	329	11	,	,	PUNCT
cana-1242	329	12	coimbatore	coimbatore	PROPN
cana-1242	329	13	.	.	PUNCT
cana-1242	330	1	at	at	ADP
cana-1242	330	2	present	present	ADJ
cana-1242	330	3	,	,	PUNCT
cana-1242	330	4	she	she	PRON
cana-1242	330	5	is	be	AUX
cana-1242	330	6	continuing	continue	VERB
cana-1242	330	7	her	her	PRON
cana-1242	330	8	doctorate	doctorate	NOUN
cana-1242	330	9	research	research	NOUN
cana-1242	330	10	work	work	NOUN
cana-1242	330	11	(	(	PUNCT
cana-1242	330	12	part	part	NOUN
cana-1242	330	13	time	time	NOUN
cana-1242	330	14	)	)	PUNCT
cana-1242	330	15	in	in	ADP
cana-1242	330	16	data	data	NOUN
cana-1242	330	17	mining	mining	NOUN
cana-1242	330	18	at	at	ADP
cana-1242	330	19	department	department	NOUN
cana-1242	330	20	of	of	ADP
cana-1242	330	21	computer	computer	NOUN
cana-1242	330	22	science	science	NOUN
cana-1242	330	23	(	(	PUNCT
cana-1242	330	24	aided	aid	VERB
cana-1242	330	25	)	)	PUNCT
cana-1242	330	26	,	,	PUNCT
cana-1242	330	27	erode	erode	NOUN
cana-1242	330	28	arts	art	NOUN
cana-1242	330	29	and	and	CCONJ
cana-1242	330	30	science	science	PROPN
cana-1242	330	31	college	college	PROPN
cana-1242	330	32	,	,	PUNCT
cana-1242	330	33	erode	erode	VERB
cana-1242	330	34	,	,	PUNCT
cana-1242	330	35	tamilnadu	tamilnadu	NOUN
cana-1242	330	36	,	,	PUNCT
cana-1242	330	37	india	india	PROPN
cana-1242	330	38	.	.	PUNCT