id	sid	tid	token	lemma	pos
ajst-20789	1	1	academic	academic	ADJ
ajst-20789	1	2	journal	journal	NOUN
ajst-20789	1	3	of	of	ADP
ajst-20789	1	4	science	science	NOUN
ajst-20789	1	5	and	and	CCONJ
ajst-20789	1	6	technology	technology	NOUN
ajst-20789	1	7	issn	issn	NOUN
ajst-20789	1	8	:	:	PUNCT
ajst-20789	1	9	2771	2771	NUM
ajst-20789	1	10	-	-	SYM
ajst-20789	1	11	3032	3032	NUM
ajst-20789	1	12	|	|	NOUN
ajst-20789	1	13	vol	vol	NOUN
ajst-20789	1	14	.	.	PROPN
ajst-20789	2	1	10	10	NUM
ajst-20789	2	2	,	,	PUNCT
ajst-20789	2	3	no	no	INTJ
ajst-20789	2	4	.	.	NOUN
ajst-20789	2	5	3	3	NUM
ajst-20789	2	6	,	,	PUNCT
ajst-20789	2	7	2024	2024	NUM
ajst-20789	2	8	83	83	NUM
ajst-20789	2	9	a	a	DET
ajst-20789	2	10	survey	survey	NOUN
ajst-20789	2	11	of	of	ADP
ajst-20789	2	12	multiple	multiple	ADJ
ajst-20789	2	13	kernel	kernel	NOUN
ajst-20789	2	14	graph	graph	NOUN
ajst-20789	2	15	clustering	cluster	VERB
ajst-20789	2	16	algorithms	algorithm	NOUN
ajst-20789	2	17	zihao	zihao	PROPN
ajst-20789	2	18	li	li	PROPN
ajst-20789	2	19	,	,	PUNCT
ajst-20789	2	20	wenjing	wenje	VERB
ajst-20789	2	21	chu	chu	PROPN
ajst-20789	2	22	school	school	NOUN
ajst-20789	2	23	of	of	ADP
ajst-20789	2	24	management	management	NOUN
ajst-20789	2	25	science	science	NOUN
ajst-20789	2	26	and	and	CCONJ
ajst-20789	2	27	engineering	engineering	NOUN
ajst-20789	2	28	,	,	PUNCT
ajst-20789	2	29	anhui	anhui	PROPN
ajst-20789	2	30	university	university	PROPN
ajst-20789	2	31	of	of	ADP
ajst-20789	2	32	finance	finance	PROPN
ajst-20789	2	33	&	&	CCONJ
ajst-20789	2	34	economics	economic	NOUN
ajst-20789	2	35	,	,	PUNCT
ajst-20789	2	36	bengbu	bengbu	NOUN
ajst-20789	2	37	233030	233030	NUM
ajst-20789	2	38	,	,	PUNCT
ajst-20789	2	39	china	china	PROPN
ajst-20789	2	40	abstract	abstract	PROPN
ajst-20789	2	41	:	:	PUNCT
ajst-20789	2	42	in	in	ADP
ajst-20789	2	43	recent	recent	ADJ
ajst-20789	2	44	years	year	NOUN
ajst-20789	2	45	,	,	PUNCT
ajst-20789	2	46	algorithms	algorithm	NOUN
ajst-20789	2	47	based	base	VERB
ajst-20789	2	48	on	on	ADP
ajst-20789	2	49	multi	multi	ADJ
ajst-20789	2	50	-	-	ADJ
ajst-20789	2	51	kernel	kernel	ADJ
ajst-20789	2	52	learning	learning	NOUN
ajst-20789	2	53	and	and	CCONJ
ajst-20789	2	54	graph	graph	NOUN
ajst-20789	2	55	clustering	clustering	NOUN
ajst-20789	2	56	have	have	AUX
ajst-20789	2	57	garnered	garner	VERB
ajst-20789	2	58	significant	significant	ADJ
ajst-20789	2	59	attention	attention	NOUN
ajst-20789	2	60	in	in	ADP
ajst-20789	2	61	the	the	DET
ajst-20789	2	62	field	field	NOUN
ajst-20789	2	63	of	of	ADP
ajst-20789	2	64	data	datum	NOUN
ajst-20789	2	65	mining	mining	NOUN
ajst-20789	2	66	.	.	PUNCT
ajst-20789	3	1	this	this	DET
ajst-20789	3	2	article	article	NOUN
ajst-20789	3	3	reviews	review	VERB
ajst-20789	3	4	four	four	NUM
ajst-20789	3	5	advanced	advanced	ADJ
ajst-20789	3	6	multi	multi	ADJ
ajst-20789	3	7	-	-	ADJ
ajst-20789	3	8	kernel	kernel	ADJ
ajst-20789	3	9	graph	graph	NOUN
ajst-20789	3	10	clustering	clustering	ADJ
ajst-20789	3	11	algorithms	algorithm	NOUN
ajst-20789	3	12	:	:	PUNCT
ajst-20789	3	13	nearest	near	ADJ
ajst-20789	3	14	neighbor	neighbor	PROPN
ajst-20789	3	15	linear	linear	PROPN
ajst-20789	3	16	kernel	kernel	PROPN
ajst-20789	3	17	weighted	weight	VERB
ajst-20789	3	18	multi	multi	ADJ
ajst-20789	3	19	-	-	ADJ
ajst-20789	3	20	kernel	kernel	ADJ
ajst-20789	3	21	graph	graph	NOUN
ajst-20789	3	22	clustering	clustering	NOUN
ajst-20789	3	23	,	,	PUNCT
ajst-20789	3	24	multi	multi	ADJ
ajst-20789	3	25	-	-	ADJ
ajst-20789	3	26	kernel	kernel	ADJ
ajst-20789	3	27	graph	graph	NOUN
ajst-20789	3	28	clustering	clustering	NOUN
ajst-20789	3	29	based	base	VERB
ajst-20789	3	30	on	on	ADP
ajst-20789	3	31	simultaneous	simultaneous	ADJ
ajst-20789	3	32	global	global	ADJ
ajst-20789	3	33	and	and	CCONJ
ajst-20789	3	34	local	local	ADJ
ajst-20789	3	35	structure	structure	NOUN
ajst-20789	3	36	preservation	preservation	NOUN
ajst-20789	3	37	,	,	PUNCT
ajst-20789	3	38	multi	multi	ADJ
ajst-20789	3	39	-	-	ADJ
ajst-20789	3	40	kernel	kernel	ADJ
ajst-20789	3	41	graph	graph	NOUN
ajst-20789	3	42	clustering	cluster	VERB
ajst-20789	3	43	based	base	VERB
ajst-20789	3	44	on	on	ADP
ajst-20789	3	45	direct	direct	ADJ
ajst-20789	3	46	consensus	consensus	NOUN
ajst-20789	3	47	relationship	relationship	NOUN
ajst-20789	3	48	graph	graph	NOUN
ajst-20789	3	49	learning	learning	NOUN
ajst-20789	3	50	,	,	PUNCT
ajst-20789	3	51	and	and	CCONJ
ajst-20789	3	52	custom	custom	NOUN
ajst-20789	3	53	non	non	ADJ
ajst-20789	3	54	-	-	ADJ
ajst-20789	3	55	negative	negative	ADJ
ajst-20789	3	56	matrix	matrix	NOUN
ajst-20789	3	57	factorization	factorization	NOUN
ajst-20789	3	58	multi	multi	ADJ
ajst-20789	3	59	-	-	ADJ
ajst-20789	3	60	kernel	kernel	ADJ
ajst-20789	3	61	graph	graph	NOUN
ajst-20789	3	62	tensor	tensor	NOUN
ajst-20789	3	63	clustering	clustering	NOUN
ajst-20789	3	64	.	.	PUNCT
ajst-20789	4	1	these	these	DET
ajst-20789	4	2	algorithms	algorithm	NOUN
ajst-20789	4	3	have	have	VERB
ajst-20789	4	4	their	their	PRON
ajst-20789	4	5	own	own	ADJ
ajst-20789	4	6	characteristics	characteristic	NOUN
ajst-20789	4	7	and	and	CCONJ
ajst-20789	4	8	,	,	PUNCT
ajst-20789	4	9	by	by	ADP
ajst-20789	4	10	combining	combine	VERB
ajst-20789	4	11	multi	multi	ADJ
ajst-20789	4	12	-	-	ADJ
ajst-20789	4	13	kernel	kernel	ADJ
ajst-20789	4	14	learning	learning	NOUN
ajst-20789	4	15	,	,	PUNCT
ajst-20789	4	16	graph	graph	NOUN
ajst-20789	4	17	clustering	clustering	NOUN
ajst-20789	4	18	,	,	PUNCT
ajst-20789	4	19	and	and	CCONJ
ajst-20789	4	20	other	other	ADJ
ajst-20789	4	21	advanced	advanced	ADJ
ajst-20789	4	22	technologies	technology	NOUN
ajst-20789	4	23	,	,	PUNCT
ajst-20789	4	24	they	they	PRON
ajst-20789	4	25	improve	improve	VERB
ajst-20789	4	26	the	the	DET
ajst-20789	4	27	accuracy	accuracy	NOUN
ajst-20789	4	28	and	and	CCONJ
ajst-20789	4	29	efficiency	efficiency	NOUN
ajst-20789	4	30	of	of	ADP
ajst-20789	4	31	clustering	clustering	NOUN
ajst-20789	4	32	.	.	PUNCT
ajst-20789	5	1	however	however	ADV
ajst-20789	5	2	,	,	PUNCT
ajst-20789	5	3	they	they	PRON
ajst-20789	5	4	also	also	ADV
ajst-20789	5	5	face	face	VERB
ajst-20789	5	6	challenges	challenge	NOUN
ajst-20789	5	7	such	such	ADJ
ajst-20789	5	8	as	as	ADP
ajst-20789	5	9	high	high	ADJ
ajst-20789	5	10	computational	computational	ADJ
ajst-20789	5	11	complexity	complexity	NOUN
ajst-20789	5	12	and	and	CCONJ
ajst-20789	5	13	parameter	parameter	NOUN
ajst-20789	5	14	settings	setting	NOUN
ajst-20789	5	15	,	,	PUNCT
ajst-20789	5	16	necessitating	necessitate	VERB
ajst-20789	5	17	further	further	ADJ
ajst-20789	5	18	research	research	NOUN
ajst-20789	5	19	and	and	CCONJ
ajst-20789	5	20	optimization	optimization	NOUN
ajst-20789	5	21	.	.	PUNCT
ajst-20789	6	1	these	these	DET
ajst-20789	6	2	algorithms	algorithm	NOUN
ajst-20789	6	3	have	have	VERB
ajst-20789	6	4	wide	wide	ADJ
ajst-20789	6	5	application	application	NOUN
ajst-20789	6	6	prospects	prospect	NOUN
ajst-20789	6	7	in	in	ADP
ajst-20789	6	8	fields	field	NOUN
ajst-20789	6	9	such	such	ADJ
ajst-20789	6	10	as	as	ADP
ajst-20789	6	11	image	image	NOUN
ajst-20789	6	12	recognition	recognition	NOUN
ajst-20789	6	13	,	,	PUNCT
ajst-20789	6	14	text	text	NOUN
ajst-20789	6	15	classification	classification	NOUN
ajst-20789	6	16	,	,	PUNCT
ajst-20789	6	17	and	and	CCONJ
ajst-20789	6	18	bioinformatics	bioinformatics	NOUN
ajst-20789	6	19	,	,	PUNCT
ajst-20789	6	20	providing	provide	VERB
ajst-20789	6	21	new	new	ADJ
ajst-20789	6	22	solutions	solution	NOUN
ajst-20789	6	23	for	for	ADP
ajst-20789	6	24	handling	handle	VERB
ajst-20789	6	25	complex	complex	ADJ
ajst-20789	6	26	data	datum	NOUN
ajst-20789	6	27	structures	structure	NOUN
ajst-20789	6	28	.	.	PUNCT
ajst-20789	7	1	keywords	keyword	NOUN
ajst-20789	7	2	:	:	PUNCT
ajst-20789	7	3	multi	multi	ADJ
ajst-20789	7	4	-	-	ADJ
ajst-20789	7	5	kernel	kernel	ADJ
ajst-20789	7	6	learning	learning	NOUN
ajst-20789	7	7	,	,	PUNCT
ajst-20789	7	8	graph	graph	NOUN
ajst-20789	7	9	clustering	clustering	NOUN
ajst-20789	7	10	,	,	PUNCT
ajst-20789	7	11	nearest	near	ADJ
ajst-20789	7	12	neighbor	neighbor	PROPN
ajst-20789	7	13	linear	linear	PROPN
ajst-20789	7	14	kernel	kernel	PROPN
ajst-20789	7	15	.	.	PUNCT
ajst-20789	8	1	1	1	X
ajst-20789	8	2	.	.	X
ajst-20789	8	3	introduction	introduction	NOUN
ajst-20789	8	4	with	with	ADP
ajst-20789	8	5	the	the	DET
ajst-20789	8	6	rapid	rapid	ADJ
ajst-20789	8	7	development	development	NOUN
ajst-20789	8	8	of	of	ADP
ajst-20789	8	9	industries	industry	NOUN
ajst-20789	8	10	such	such	ADJ
ajst-20789	8	11	as	as	ADP
ajst-20789	8	12	the	the	DET
ajst-20789	8	13	internet	internet	NOUN
ajst-20789	8	14	,	,	PUNCT
ajst-20789	8	15	video	video	NOUN
ajst-20789	8	16	surveillance	surveillance	NOUN
ajst-20789	8	17	,	,	PUNCT
ajst-20789	8	18	military	military	ADJ
ajst-20789	8	19	detection	detection	NOUN
ajst-20789	8	20	,	,	PUNCT
ajst-20789	8	21	medical	medical	ADJ
ajst-20789	8	22	imaging	imaging	NOUN
ajst-20789	8	23	,	,	PUNCT
ajst-20789	8	24	and	and	CCONJ
ajst-20789	8	25	earth	earth	NOUN
ajst-20789	8	26	remote	remote	ADJ
ajst-20789	8	27	sensing	sensing	NOUN
ajst-20789	8	28	,	,	PUNCT
ajst-20789	8	29	acquiring	acquire	VERB
ajst-20789	8	30	complex	complex	ADJ
ajst-20789	8	31	data	datum	NOUN
ajst-20789	8	32	formats	format	NOUN
ajst-20789	8	33	like	like	ADP
ajst-20789	8	34	text	text	NOUN
ajst-20789	8	35	,	,	PUNCT
ajst-20789	8	36	images	image	NOUN
ajst-20789	8	37	,	,	PUNCT
ajst-20789	8	38	videos	video	NOUN
ajst-20789	8	39	,	,	PUNCT
ajst-20789	8	40	and	and	CCONJ
ajst-20789	8	41	audio	audio	NOUN
ajst-20789	8	42	has	have	AUX
ajst-20789	8	43	become	become	VERB
ajst-20789	8	44	effortless	effortless	ADJ
ajst-20789	8	45	.	.	PUNCT
ajst-20789	9	1	these	these	DET
ajst-20789	9	2	diverse	diverse	ADJ
ajst-20789	9	3	data	datum	NOUN
ajst-20789	9	4	sources	source	NOUN
ajst-20789	9	5	pose	pose	VERB
ajst-20789	9	6	new	new	ADJ
ajst-20789	9	7	challenges	challenge	NOUN
ajst-20789	9	8	to	to	ADP
ajst-20789	9	9	scholars	scholar	NOUN
ajst-20789	9	10	in	in	ADP
ajst-20789	9	11	the	the	DET
ajst-20789	9	12	field	field	NOUN
ajst-20789	9	13	of	of	ADP
ajst-20789	9	14	machine	machine	NOUN
ajst-20789	9	15	learning	learning	NOUN
ajst-20789	9	16	.	.	PUNCT
ajst-20789	10	1	how	how	SCONJ
ajst-20789	10	2	to	to	PART
ajst-20789	10	3	effectively	effectively	ADV
ajst-20789	10	4	manage	manage	VERB
ajst-20789	10	5	this	this	DET
ajst-20789	10	6	data	datum	NOUN
ajst-20789	10	7	and	and	CCONJ
ajst-20789	10	8	extract	extract	VERB
ajst-20789	10	9	valuable	valuable	ADJ
ajst-20789	10	10	information	information	NOUN
ajst-20789	10	11	from	from	ADP
ajst-20789	10	12	it	it	PRON
ajst-20789	10	13	has	have	AUX
ajst-20789	10	14	emerged	emerge	VERB
ajst-20789	10	15	as	as	ADP
ajst-20789	10	16	a	a	DET
ajst-20789	10	17	crucial	crucial	ADJ
ajst-20789	10	18	issue	issue	NOUN
ajst-20789	10	19	in	in	ADP
ajst-20789	10	20	machine	machine	NOUN
ajst-20789	10	21	learning	learning	NOUN
ajst-20789	10	22	,	,	PUNCT
ajst-20789	10	23	pattern	pattern	NOUN
ajst-20789	10	24	recognition	recognition	NOUN
ajst-20789	10	25	,	,	PUNCT
ajst-20789	10	26	data	data	NOUN
ajst-20789	10	27	mining	mining	NOUN
ajst-20789	10	28	,	,	PUNCT
ajst-20789	10	29	and	and	CCONJ
ajst-20789	10	30	artificial	artificial	ADJ
ajst-20789	10	31	intelligence	intelligence	NOUN
ajst-20789	10	32	.	.	PUNCT
ajst-20789	11	1	clustering	clustering	NOUN
ajst-20789	11	2	,	,	PUNCT
ajst-20789	11	3	as	as	ADP
ajst-20789	11	4	a	a	DET
ajst-20789	11	5	vital	vital	ADJ
ajst-20789	11	6	data	datum	NOUN
ajst-20789	11	7	analysis	analysis	NOUN
ajst-20789	11	8	method[1	method[1	NOUN
ajst-20789	11	9	]	]	PUNCT
ajst-20789	11	10	,	,	PUNCT
ajst-20789	11	11	plays	play	VERB
ajst-20789	11	12	an	an	DET
ajst-20789	11	13	indispensable	indispensable	ADJ
ajst-20789	11	14	role	role	NOUN
ajst-20789	11	15	.	.	PUNCT
ajst-20789	12	1	the	the	DET
ajst-20789	12	2	core	core	NOUN
ajst-20789	12	3	objective	objective	NOUN
ajst-20789	12	4	of	of	ADP
ajst-20789	12	5	clustering	clustering	NOUN
ajst-20789	12	6	is	be	AUX
ajst-20789	12	7	to	to	PART
ajst-20789	12	8	partition	partition	VERB
ajst-20789	12	9	the	the	DET
ajst-20789	12	10	dataset	dataset	NOUN
ajst-20789	12	11	into	into	ADP
ajst-20789	12	12	multiple	multiple	ADJ
ajst-20789	12	13	meaningful	meaningful	ADJ
ajst-20789	12	14	groups	group	NOUN
ajst-20789	12	15	or	or	CCONJ
ajst-20789	12	16	clusters	cluster	NOUN
ajst-20789	12	17	composed	compose	VERB
ajst-20789	12	18	of	of	ADP
ajst-20789	12	19	similar	similar	ADJ
ajst-20789	12	20	objects	object	NOUN
ajst-20789	12	21	based	base	VERB
ajst-20789	12	22	on	on	ADP
ajst-20789	12	23	the	the	DET
ajst-20789	12	24	representation	representation	NOUN
ajst-20789	12	25	information	information	NOUN
ajst-20789	12	26	of	of	ADP
ajst-20789	12	27	the	the	DET
ajst-20789	12	28	data	datum	NOUN
ajst-20789	12	29	and	and	CCONJ
ajst-20789	12	30	the	the	DET
ajst-20789	12	31	similarity	similarity	NOUN
ajst-20789	12	32	between	between	ADP
ajst-20789	12	33	them	they	PRON
ajst-20789	12	34	.	.	PUNCT
ajst-20789	13	1	this	this	DET
ajst-20789	13	2	partitioning	partitioning	NOUN
ajst-20789	13	3	helps	help	VERB
ajst-20789	13	4	eliminate	eliminate	VERB
ajst-20789	13	5	redundancy	redundancy	NOUN
ajst-20789	13	6	and	and	CCONJ
ajst-20789	13	7	useless	useless	ADJ
ajst-20789	13	8	information	information	NOUN
ajst-20789	13	9	in	in	ADP
ajst-20789	13	10	the	the	DET
ajst-20789	13	11	data	datum	NOUN
ajst-20789	13	12	,	,	PUNCT
ajst-20789	13	13	reduces	reduce	VERB
ajst-20789	13	14	uncertainty	uncertainty	NOUN
ajst-20789	13	15	,	,	PUNCT
ajst-20789	13	16	and	and	CCONJ
ajst-20789	13	17	enhances	enhance	VERB
ajst-20789	13	18	the	the	DET
ajst-20789	13	19	consistency	consistency	NOUN
ajst-20789	13	20	within	within	ADP
ajst-20789	13	21	groups	group	NOUN
ajst-20789	13	22	and	and	CCONJ
ajst-20789	13	23	the	the	DET
ajst-20789	13	24	distinctiveness	distinctiveness	NOUN
ajst-20789	13	25	between	between	ADP
ajst-20789	13	26	groups	group	NOUN
ajst-20789	13	27	,	,	PUNCT
ajst-20789	13	28	thereby	thereby	ADV
ajst-20789	13	29	providing	provide	VERB
ajst-20789	13	30	a	a	DET
ajst-20789	13	31	solid	solid	ADJ
ajst-20789	13	32	foundation	foundation	NOUN
ajst-20789	13	33	for	for	ADP
ajst-20789	13	34	subsequent	subsequent	ADJ
ajst-20789	13	35	data	datum	NOUN
ajst-20789	13	36	processing	processing	NOUN
ajst-20789	13	37	or	or	CCONJ
ajst-20789	13	38	analysis	analysis	NOUN
ajst-20789	13	39	tasks	task	NOUN
ajst-20789	13	40	.	.	PUNCT
ajst-20789	14	1	it	it	PRON
ajst-20789	14	2	is	be	AUX
ajst-20789	14	3	worth	worth	ADJ
ajst-20789	14	4	noting	note	VERB
ajst-20789	14	5	that	that	SCONJ
ajst-20789	14	6	clustering	clustering	NOUN
ajst-20789	14	7	is	be	AUX
ajst-20789	14	8	an	an	DET
ajst-20789	14	9	unsupervised	unsupervised	ADJ
ajst-20789	14	10	learning	learning	NOUN
ajst-20789	14	11	method	method	NOUN
ajst-20789	14	12	,	,	PUNCT
ajst-20789	14	13	meaning	mean	VERB
ajst-20789	14	14	that	that	SCONJ
ajst-20789	14	15	during	during	ADP
ajst-20789	14	16	the	the	DET
ajst-20789	14	17	clustering	clustering	ADJ
ajst-20789	14	18	process	process	NOUN
ajst-20789	14	19	,	,	PUNCT
ajst-20789	14	20	we	we	PRON
ajst-20789	14	21	do	do	AUX
ajst-20789	14	22	not	not	PART
ajst-20789	14	23	know	know	VERB
ajst-20789	14	24	the	the	DET
ajst-20789	14	25	labels	label	NOUN
ajst-20789	14	26	or	or	CCONJ
ajst-20789	14	27	affiliations	affiliation	NOUN
ajst-20789	14	28	of	of	ADP
ajst-20789	14	29	each	each	DET
ajst-20789	14	30	data	datum	NOUN
ajst-20789	14	31	point	point	NOUN
ajst-20789	14	32	.	.	PUNCT
ajst-20789	15	1	this	this	DET
ajst-20789	15	2	characteristic	characteristic	NOUN
ajst-20789	15	3	of	of	ADP
ajst-20789	15	4	not	not	PART
ajst-20789	15	5	requiring	require	VERB
ajst-20789	15	6	labeled	label	VERB
ajst-20789	15	7	training	training	NOUN
ajst-20789	15	8	data	datum	NOUN
ajst-20789	15	9	gives	give	VERB
ajst-20789	15	10	clustering	cluster	VERB
ajst-20789	15	11	methods	method	NOUN
ajst-20789	15	12	broad	broad	ADJ
ajst-20789	15	13	prospects	prospect	NOUN
ajst-20789	15	14	for	for	ADP
ajst-20789	15	15	application	application	NOUN
ajst-20789	15	16	.	.	PUNCT
ajst-20789	16	1	in	in	ADP
ajst-20789	16	2	fact	fact	NOUN
ajst-20789	16	3	,	,	PUNCT
ajst-20789	16	4	clustering	clustering	NOUN
ajst-20789	16	5	has	have	AUX
ajst-20789	16	6	played	play	VERB
ajst-20789	16	7	an	an	DET
ajst-20789	16	8	important	important	ADJ
ajst-20789	16	9	role	role	NOUN
ajst-20789	16	10	in	in	ADP
ajst-20789	16	11	various	various	ADJ
ajst-20789	16	12	fields	field	NOUN
ajst-20789	16	13	such	such	ADJ
ajst-20789	16	14	as	as	ADP
ajst-20789	16	15	information	information	NOUN
ajst-20789	16	16	retrieval	retrieval	NOUN
ajst-20789	16	17	,	,	PUNCT
ajst-20789	16	18	biological	biological	ADJ
ajst-20789	16	19	data	datum	NOUN
ajst-20789	16	20	analysis	analysis	NOUN
ajst-20789	16	21	,	,	PUNCT
ajst-20789	16	22	multimedia	multimedia	NOUN
ajst-20789	16	23	data	datum	NOUN
ajst-20789	16	24	analysis	analysis	NOUN
ajst-20789	16	25	,	,	PUNCT
ajst-20789	16	26	feature	feature	NOUN
ajst-20789	16	27	representation	representation	NOUN
ajst-20789	16	28	,	,	PUNCT
ajst-20789	16	29	data	datum	NOUN
ajst-20789	16	30	cleaning	cleaning	NOUN
ajst-20789	16	31	,	,	PUNCT
ajst-20789	16	32	medical	medical	ADJ
ajst-20789	16	33	diagnosis	diagnosis	NOUN
ajst-20789	16	34	,	,	PUNCT
ajst-20789	16	35	and	and	CCONJ
ajst-20789	16	36	anomaly	anomaly	NOUN
ajst-20789	16	37	detection	detection	NOUN
ajst-20789	16	38	,	,	PUNCT
ajst-20789	16	39	driving	drive	VERB
ajst-20789	16	40	the	the	DET
ajst-20789	16	41	rapid	rapid	ADJ
ajst-20789	16	42	development	development	NOUN
ajst-20789	16	43	of	of	ADP
ajst-20789	16	44	related	related	ADJ
ajst-20789	16	45	theories	theory	NOUN
ajst-20789	16	46	and	and	CCONJ
ajst-20789	16	47	methods(as	methods(as	NOUN
ajst-20789	16	48	shown	show	VERB
ajst-20789	16	49	in	in	ADP
ajst-20789	16	50	figure	figure	NOUN
ajst-20789	16	51	1	1	NUM
ajst-20789	16	52	)	)	PUNCT
ajst-20789	16	53	.	.	PUNCT
ajst-20789	17	1	however	however	ADV
ajst-20789	17	2	,	,	PUNCT
ajst-20789	17	3	with	with	ADP
ajst-20789	17	4	the	the	DET
ajst-20789	17	5	increasing	increase	VERB
ajst-20789	17	6	diversification	diversification	NOUN
ajst-20789	17	7	of	of	ADP
ajst-20789	17	8	information	information	NOUN
ajst-20789	17	9	collection	collection	NOUN
ajst-20789	17	10	methods	method	NOUN
ajst-20789	17	11	and	and	CCONJ
ajst-20789	17	12	data	datum	NOUN
ajst-20789	17	13	types	type	NOUN
ajst-20789	17	14	,	,	PUNCT
ajst-20789	17	15	the	the	DET
ajst-20789	17	16	clustering	clustering	ADJ
ajst-20789	17	17	problem	problem	NOUN
ajst-20789	17	18	of	of	ADP
ajst-20789	17	19	complex	complex	ADJ
ajst-20789	17	20	data	datum	NOUN
ajst-20789	17	21	has	have	AUX
ajst-20789	17	22	become	become	VERB
ajst-20789	17	23	more	more	ADV
ajst-20789	17	24	severe	severe	ADJ
ajst-20789	17	25	.	.	PUNCT
ajst-20789	18	1	this	this	PRON
ajst-20789	18	2	greatly	greatly	ADV
ajst-20789	18	3	limits	limit	VERB
ajst-20789	18	4	the	the	DET
ajst-20789	18	5	application	application	NOUN
ajst-20789	18	6	of	of	ADP
ajst-20789	18	7	clusteringbased	clusteringbase	VERB
ajst-20789	18	8	algorithms	algorithm	NOUN
ajst-20789	18	9	in	in	ADP
ajst-20789	18	10	solving	solve	VERB
ajst-20789	18	11	practical	practical	ADJ
ajst-20789	18	12	problems	problem	NOUN
ajst-20789	18	13	in	in	ADP
ajst-20789	18	14	production	production	NOUN
ajst-20789	18	15	,	,	PUNCT
ajst-20789	18	16	life	life	NOUN
ajst-20789	18	17	,	,	PUNCT
ajst-20789	18	18	and	and	CCONJ
ajst-20789	18	19	the	the	DET
ajst-20789	18	20	national	national	ADJ
ajst-20789	18	21	economy	economy	NOUN
ajst-20789	18	22	.	.	PUNCT
ajst-20789	19	1	therefore	therefore	ADV
ajst-20789	19	2	,	,	PUNCT
ajst-20789	19	3	clustering	cluster	VERB
ajst-20789	19	4	for	for	ADP
ajst-20789	19	5	complex	complex	ADJ
ajst-20789	19	6	data	datum	NOUN
ajst-20789	19	7	has	have	AUX
ajst-20789	19	8	become	become	VERB
ajst-20789	19	9	an	an	DET
ajst-20789	19	10	urgent	urgent	ADJ
ajst-20789	19	11	frontier	frontier	NOUN
ajst-20789	19	12	scientific	scientific	ADJ
ajst-20789	19	13	problem	problem	NOUN
ajst-20789	19	14	.	.	PUNCT
ajst-20789	20	1	clustering	clustering	NOUN
ajst-20789	20	2	plays	play	VERB
ajst-20789	20	3	a	a	DET
ajst-20789	20	4	crucial	crucial	ADJ
ajst-20789	20	5	role	role	NOUN
ajst-20789	20	6	in	in	ADP
ajst-20789	20	7	fields	field	NOUN
ajst-20789	20	8	such	such	ADJ
ajst-20789	20	9	as	as	ADP
ajst-20789	20	10	machine	machine	NOUN
ajst-20789	20	11	learning	learning	NOUN
ajst-20789	20	12	,	,	PUNCT
ajst-20789	20	13	artificial	artificial	ADJ
ajst-20789	20	14	intelligence	intelligence	NOUN
ajst-20789	20	15	,	,	PUNCT
ajst-20789	20	16	and	and	CCONJ
ajst-20789	20	17	image	image	NOUN
ajst-20789	20	18	processing	processing	NOUN
ajst-20789	20	19	.	.	PUNCT
ajst-20789	21	1	figure	figure	NOUN
ajst-20789	21	2	1	1	NUM
ajst-20789	21	3	.	.	PUNCT
ajst-20789	22	1	examples	example	NOUN
ajst-20789	22	2	of	of	ADP
ajst-20789	22	3	clustering	clustering	ADJ
ajst-20789	22	4	applications	application	NOUN
ajst-20789	22	5	2	2	NUM
ajst-20789	22	6	.	.	PUNCT
ajst-20789	22	7	multi	multi	ADJ
ajst-20789	22	8	-	-	ADJ
ajst-20789	22	9	kernel	kernel	ADJ
ajst-20789	22	10	clustering	cluster	VERB
ajst-20789	22	11	over	over	ADP
ajst-20789	22	12	the	the	DET
ajst-20789	22	13	past	past	ADJ
ajst-20789	22	14	few	few	ADJ
ajst-20789	22	15	decades	decade	NOUN
ajst-20789	22	16	,	,	PUNCT
ajst-20789	22	17	researchers	researcher	NOUN
ajst-20789	22	18	have	have	AUX
ajst-20789	22	19	proposed	propose	VERB
ajst-20789	22	20	many	many	ADJ
ajst-20789	22	21	powerful	powerful	ADJ
ajst-20789	22	22	clustering	clustering	ADJ
ajst-20789	22	23	algorithms	algorithm	NOUN
ajst-20789	22	24	,	,	PUNCT
ajst-20789	22	25	which	which	PRON
ajst-20789	22	26	have	have	AUX
ajst-20789	22	27	achieved	achieve	VERB
ajst-20789	22	28	significant	significant	ADJ
ajst-20789	22	29	results	result	NOUN
ajst-20789	22	30	on	on	ADP
ajst-20789	22	31	single	single	ADJ
ajst-20789	22	32	-	-	PUNCT
ajst-20789	22	33	view	view	NOUN
ajst-20789	22	34	data	datum	NOUN
ajst-20789	22	35	.	.	PUNCT
ajst-20789	23	1	however	however	ADV
ajst-20789	23	2	,	,	PUNCT
ajst-20789	23	3	when	when	SCONJ
ajst-20789	23	4	facing	face	VERB
ajst-20789	23	5	multi	multi	ADJ
ajst-20789	23	6	-	-	ADJ
ajst-20789	23	7	view	view	ADJ
ajst-20789	23	8	data	datum	NOUN
ajst-20789	23	9	,	,	PUNCT
ajst-20789	23	10	these	these	DET
ajst-20789	23	11	algorithms	algorithm	NOUN
ajst-20789	23	12	often	often	ADV
ajst-20789	23	13	fall	fall	VERB
ajst-20789	23	14	short	short	ADJ
ajst-20789	23	15	.	.	PUNCT
ajst-20789	24	1	even	even	ADV
ajst-20789	24	2	attempts	attempt	VERB
ajst-20789	24	3	to	to	PART
ajst-20789	24	4	connect	connect	VERB
ajst-20789	24	5	all	all	DET
ajst-20789	24	6	views	view	NOUN
ajst-20789	24	7	into	into	ADP
ajst-20789	24	8	one	one	NUM
ajst-20789	24	9	whole	whole	NOUN
ajst-20789	24	10	and	and	CCONJ
ajst-20789	24	11	then	then	ADV
ajst-20789	24	12	apply	apply	VERB
ajst-20789	24	13	state	state	NOUN
ajst-20789	24	14	-	-	PUNCT
ajst-20789	24	15	of	of	ADP
ajst-20789	24	16	-	-	PUNCT
ajst-20789	24	17	the	the	DET
ajst-20789	24	18	-	-	PUNCT
ajst-20789	24	19	art	art	NOUN
ajst-20789	24	20	clustering	clustering	NOUN
ajst-20789	24	21	techniques	technique	NOUN
ajst-20789	24	22	on	on	ADP
ajst-20789	24	23	this	this	DET
ajst-20789	24	24	single	single	ADJ
ajst-20789	24	25	view	view	NOUN
ajst-20789	24	26	often	often	ADV
ajst-20789	24	27	fail	fail	VERB
ajst-20789	24	28	to	to	PART
ajst-20789	24	29	achieve	achieve	VERB
ajst-20789	24	30	satisfactory	satisfactory	ADJ
ajst-20789	24	31	clustering	clustering	NOUN
ajst-20789	24	32	results	result	NOUN
ajst-20789	24	33	.	.	PUNCT
ajst-20789	25	1	this	this	PRON
ajst-20789	25	2	is	be	AUX
ajst-20789	25	3	because	because	SCONJ
ajst-20789	25	4	each	each	DET
ajst-20789	25	5	view	view	NOUN
ajst-20789	25	6	carries	carry	VERB
ajst-20789	25	7	its	its	PRON
ajst-20789	25	8	unique	unique	ADJ
ajst-20789	25	9	statistical	statistical	ADJ
ajst-20789	25	10	characteristics	characteristic	NOUN
ajst-20789	25	11	and	and	CCONJ
ajst-20789	25	12	information	information	NOUN
ajst-20789	25	13	,	,	PUNCT
ajst-20789	25	14	and	and	CCONJ
ajst-20789	25	15	simply	simply	ADV
ajst-20789	25	16	merging	merge	VERB
ajst-20789	25	17	them	they	PRON
ajst-20789	25	18	may	may	AUX
ajst-20789	25	19	not	not	PART
ajst-20789	25	20	effectively	effectively	ADV
ajst-20789	25	21	utilize	utilize	VERB
ajst-20789	25	22	this	this	DET
ajst-20789	25	23	information	information	NOUN
ajst-20789	25	24	,	,	PUNCT
ajst-20789	25	25	leading	lead	VERB
ajst-20789	25	26	to	to	ADP
ajst-20789	25	27	information	information	NOUN
ajst-20789	25	28	loss	loss	NOUN
ajst-20789	25	29	and	and	CCONJ
ajst-20789	25	30	confusion	confusion	NOUN
ajst-20789	25	31	.	.	PUNCT
ajst-20789	26	1	the	the	DET
ajst-20789	26	2	multi	multi	ADJ
ajst-20789	26	3	-	-	ADJ
ajst-20789	26	4	kernel	kernel	ADJ
ajst-20789	26	5	clustering	clustering	ADJ
ajst-20789	26	6	algorithm	algorithm	NOUN
ajst-20789	26	7	(	(	PUNCT
ajst-20789	26	8	mkc	mkc	PROPN
ajst-20789	26	9	)	)	PUNCT
ajst-20789	26	10	has	have	AUX
ajst-20789	26	11	emerged	emerge	VERB
ajst-20789	26	12	to	to	PART
ajst-20789	26	13	address	address	VERB
ajst-20789	26	14	this	this	DET
ajst-20789	26	15	challenge	challenge	NOUN
ajst-20789	26	16	,	,	PUNCT
ajst-20789	26	17	specifically	specifically	ADV
ajst-20789	26	18	designed	design	VERB
ajst-20789	26	19	for	for	ADP
ajst-20789	26	20	multi	multi	ADJ
ajst-20789	26	21	-	-	ADJ
ajst-20789	26	22	view	view	ADJ
ajst-20789	26	23	data	datum	NOUN
ajst-20789	26	24	to	to	PART
ajst-20789	26	25	fully	fully	ADV
ajst-20789	26	26	exploit	exploit	VERB
ajst-20789	26	27	the	the	DET
ajst-20789	26	28	diversity	diversity	NOUN
ajst-20789	26	29	and	and	CCONJ
ajst-20789	26	30	84	84	NUM
ajst-20789	26	31	complementarity	complementarity	NOUN
ajst-20789	26	32	among	among	ADP
ajst-20789	26	33	different	different	ADJ
ajst-20789	26	34	views	view	NOUN
ajst-20789	26	35	.	.	PUNCT
ajst-20789	27	1	by	by	ADP
ajst-20789	27	2	considering	consider	VERB
ajst-20789	27	3	the	the	DET
ajst-20789	27	4	characteristics	characteristic	NOUN
ajst-20789	27	5	of	of	ADP
ajst-20789	27	6	multiple	multiple	ADJ
ajst-20789	27	7	views	view	NOUN
ajst-20789	27	8	,	,	PUNCT
ajst-20789	27	9	multi	multi	ADJ
ajst-20789	27	10	-	-	ADJ
ajst-20789	27	11	kernel	kernel	ADJ
ajst-20789	27	12	clustering	clustering	NOUN
ajst-20789	27	13	can	can	AUX
ajst-20789	27	14	more	more	ADV
ajst-20789	27	15	comprehensively	comprehensively	ADV
ajst-20789	27	16	and	and	CCONJ
ajst-20789	27	17	deeply	deeply	ADV
ajst-20789	27	18	explore	explore	VERB
ajst-20789	27	19	the	the	DET
ajst-20789	27	20	structure	structure	NOUN
ajst-20789	27	21	and	and	CCONJ
ajst-20789	27	22	patterns	pattern	NOUN
ajst-20789	27	23	in	in	ADP
ajst-20789	27	24	the	the	DET
ajst-20789	27	25	data	datum	NOUN
ajst-20789	27	26	.	.	PUNCT
ajst-20789	28	1	as	as	ADP
ajst-20789	28	2	an	an	DET
ajst-20789	28	3	advanced	advanced	ADJ
ajst-20789	28	4	clustering	clustering	NOUN
ajst-20789	28	5	technique	technique	NOUN
ajst-20789	28	6	,	,	PUNCT
ajst-20789	28	7	multi	multi	ADJ
ajst-20789	28	8	-	-	ADJ
ajst-20789	28	9	kernel	kernel	ADJ
ajst-20789	28	10	clustering	clustering	NOUN
ajst-20789	28	11	has	have	AUX
ajst-20789	28	12	attracted	attract	VERB
ajst-20789	28	13	a	a	DET
ajst-20789	28	14	great	great	ADJ
ajst-20789	28	15	deal	deal	NOUN
ajst-20789	28	16	of	of	ADP
ajst-20789	28	17	attention	attention	NOUN
ajst-20789	28	18	and	and	CCONJ
ajst-20789	28	19	research	research	NOUN
ajst-20789	28	20	from	from	ADP
ajst-20789	28	21	scholars	scholar	NOUN
ajst-20789	28	22	in	in	ADP
ajst-20789	28	23	recent	recent	ADJ
ajst-20789	28	24	years	year	NOUN
ajst-20789	28	25	.	.	PUNCT
ajst-20789	29	1	due	due	ADP
ajst-20789	29	2	to	to	ADP
ajst-20789	29	3	the	the	DET
ajst-20789	29	4	inherent	inherent	ADJ
ajst-20789	29	5	connections	connection	NOUN
ajst-20789	29	6	and	and	CCONJ
ajst-20789	29	7	differences	difference	NOUN
ajst-20789	29	8	among	among	ADP
ajst-20789	29	9	different	different	ADJ
ajst-20789	29	10	views	view	NOUN
ajst-20789	29	11	in	in	ADP
ajst-20789	29	12	multi	multi	ADJ
ajst-20789	29	13	-	-	ADJ
ajst-20789	29	14	view	view	ADJ
ajst-20789	29	15	data	datum	NOUN
ajst-20789	29	16	,	,	PUNCT
ajst-20789	29	17	how	how	SCONJ
ajst-20789	29	18	to	to	PART
ajst-20789	29	19	fully	fully	ADV
ajst-20789	29	20	and	and	CCONJ
ajst-20789	29	21	reasonably	reasonably	ADV
ajst-20789	29	22	utilize	utilize	VERB
ajst-20789	29	23	the	the	DET
ajst-20789	29	24	information	information	NOUN
ajst-20789	29	25	in	in	ADP
ajst-20789	29	26	these	these	DET
ajst-20789	29	27	views	view	NOUN
ajst-20789	29	28	becomes	become	VERB
ajst-20789	29	29	the	the	DET
ajst-20789	29	30	key	key	NOUN
ajst-20789	29	31	to	to	ADP
ajst-20789	29	32	improving	improve	VERB
ajst-20789	29	33	the	the	DET
ajst-20789	29	34	performance	performance	NOUN
ajst-20789	29	35	of	of	ADP
ajst-20789	29	36	multi	multi	ADJ
ajst-20789	29	37	-	-	ADJ
ajst-20789	29	38	kernel	kernel	ADJ
ajst-20789	29	39	learning	learning	NOUN
ajst-20789	29	40	.	.	PUNCT
ajst-20789	30	1	to	to	PART
ajst-20789	30	2	better	well	ADV
ajst-20789	30	3	utilize	utilize	VERB
ajst-20789	30	4	the	the	DET
ajst-20789	30	5	information	information	NOUN
ajst-20789	30	6	in	in	ADP
ajst-20789	30	7	multi	multi	ADJ
ajst-20789	30	8	-	-	ADJ
ajst-20789	30	9	view	view	ADJ
ajst-20789	30	10	data	datum	NOUN
ajst-20789	30	11	,	,	PUNCT
ajst-20789	30	12	multikernel	multikernel	ADJ
ajst-20789	30	13	clustering	clustering	ADJ
ajst-20789	30	14	algorithms	algorithm	NOUN
ajst-20789	30	15	typically	typically	ADV
ajst-20789	30	16	follow	follow	VERB
ajst-20789	30	17	two	two	NUM
ajst-20789	30	18	core	core	NOUN
ajst-20789	30	19	principles	principle	NOUN
ajst-20789	30	20	[	[	X
ajst-20789	30	21	1	1	NUM
ajst-20789	30	22	]	]	PUNCT
ajst-20789	30	23	:	:	PUNCT
ajst-20789	30	24	1、consistency	1、consistency	NUM
ajst-20789	30	25	principle	principle	NOUN
ajst-20789	30	26	:	:	PUNCT
ajst-20789	30	27	this	this	DET
ajst-20789	30	28	principle	principle	NOUN
ajst-20789	30	29	emphasizes	emphasize	VERB
ajst-20789	30	30	that	that	SCONJ
ajst-20789	30	31	multiple	multiple	ADJ
ajst-20789	30	32	kernels	kernel	NOUN
ajst-20789	30	33	should	should	AUX
ajst-20789	30	34	maintain	maintain	VERB
ajst-20789	30	35	consistency	consistency	NOUN
ajst-20789	30	36	and	and	CCONJ
ajst-20789	30	37	collaboration	collaboration	NOUN
ajst-20789	30	38	during	during	ADP
ajst-20789	30	39	the	the	DET
ajst-20789	30	40	clustering	clustering	ADJ
ajst-20789	30	41	process	process	NOUN
ajst-20789	30	42	.	.	PUNCT
ajst-20789	31	1	in	in	ADP
ajst-20789	31	2	other	other	ADJ
ajst-20789	31	3	words	word	NOUN
ajst-20789	31	4	,	,	PUNCT
ajst-20789	31	5	although	although	SCONJ
ajst-20789	31	6	different	different	ADJ
ajst-20789	31	7	kernels	kernel	NOUN
ajst-20789	31	8	may	may	AUX
ajst-20789	31	9	have	have	VERB
ajst-20789	31	10	different	different	ADJ
ajst-20789	31	11	characteristics	characteristic	NOUN
ajst-20789	31	12	and	and	CCONJ
ajst-20789	31	13	perspectives	perspective	NOUN
ajst-20789	31	14	,	,	PUNCT
ajst-20789	31	15	they	they	PRON
ajst-20789	31	16	should	should	AUX
ajst-20789	31	17	reach	reach	VERB
ajst-20789	31	18	some	some	DET
ajst-20789	31	19	consensus	consensus	NOUN
ajst-20789	31	20	on	on	ADP
ajst-20789	31	21	the	the	DET
ajst-20789	31	22	clustering	clustering	ADJ
ajst-20789	31	23	results	result	NOUN
ajst-20789	31	24	,	,	PUNCT
ajst-20789	31	25	ensuring	ensure	VERB
ajst-20789	31	26	that	that	SCONJ
ajst-20789	31	27	samples	sample	NOUN
ajst-20789	31	28	belonging	belong	VERB
ajst-20789	31	29	to	to	ADP
ajst-20789	31	30	the	the	DET
ajst-20789	31	31	same	same	ADJ
ajst-20789	31	32	category	category	NOUN
ajst-20789	31	33	are	be	AUX
ajst-20789	31	34	correctly	correctly	ADV
ajst-20789	31	35	assigned	assign	VERB
ajst-20789	31	36	to	to	ADP
ajst-20789	31	37	the	the	DET
ajst-20789	31	38	same	same	ADJ
ajst-20789	31	39	cluster	cluster	NOUN
ajst-20789	31	40	across	across	ADP
ajst-20789	31	41	all	all	DET
ajst-20789	31	42	kernels	kernel	NOUN
ajst-20789	31	43	.	.	PUNCT
ajst-20789	32	1	2、complementarity	2、complementarity	NUM
ajst-20789	32	2	principle	principle	NOUN
ajst-20789	32	3	:	:	PUNCT
ajst-20789	32	4	this	this	DET
ajst-20789	32	5	principle	principle	NOUN
ajst-20789	32	6	suggests	suggest	VERB
ajst-20789	32	7	that	that	SCONJ
ajst-20789	32	8	each	each	DET
ajst-20789	32	9	kernel	kernel	NOUN
ajst-20789	32	10	may	may	AUX
ajst-20789	32	11	contain	contain	VERB
ajst-20789	32	12	information	information	NOUN
ajst-20789	32	13	or	or	CCONJ
ajst-20789	32	14	knowledge	knowledge	NOUN
ajst-20789	32	15	that	that	SCONJ
ajst-20789	32	16	other	other	ADJ
ajst-20789	32	17	kernels	kernel	NOUN
ajst-20789	32	18	do	do	AUX
ajst-20789	32	19	not	not	PART
ajst-20789	32	20	possess	possess	VERB
ajst-20789	32	21	.	.	PUNCT
ajst-20789	33	1	therefore	therefore	ADV
ajst-20789	33	2	,	,	PUNCT
ajst-20789	33	3	by	by	ADP
ajst-20789	33	4	considering	consider	VERB
ajst-20789	33	5	the	the	DET
ajst-20789	33	6	information	information	NOUN
ajst-20789	33	7	from	from	ADP
ajst-20789	33	8	multiple	multiple	ADJ
ajst-20789	33	9	kernels	kernel	NOUN
ajst-20789	33	10	comprehensively	comprehensively	ADV
ajst-20789	33	11	,	,	PUNCT
ajst-20789	33	12	multikernel	multikernel	ADJ
ajst-20789	33	13	clustering	cluster	VERB
ajst-20789	33	14	algorithms	algorithm	NOUN
ajst-20789	33	15	can	can	AUX
ajst-20789	33	16	obtain	obtain	VERB
ajst-20789	33	17	more	more	ADV
ajst-20789	33	18	comprehensive	comprehensive	ADJ
ajst-20789	33	19	and	and	CCONJ
ajst-20789	33	20	accurate	accurate	ADJ
ajst-20789	33	21	clustering	clustering	NOUN
ajst-20789	33	22	results	result	NOUN
ajst-20789	33	23	.	.	PUNCT
ajst-20789	34	1	this	this	DET
ajst-20789	34	2	article	article	NOUN
ajst-20789	34	3	mainly	mainly	ADV
ajst-20789	34	4	introduces	introduce	VERB
ajst-20789	34	5	four	four	NUM
ajst-20789	34	6	novel	novel	ADJ
ajst-20789	34	7	multi	multi	ADJ
ajst-20789	34	8	-	-	ADJ
ajst-20789	34	9	kernel	kernel	ADJ
ajst-20789	34	10	clustering	clustering	ADJ
ajst-20789	34	11	algorithms	algorithm	NOUN
ajst-20789	34	12	,	,	PUNCT
ajst-20789	34	13	namely	namely	ADV
ajst-20789	34	14	the	the	DET
ajst-20789	34	15	nearest	near	ADJ
ajst-20789	34	16	neighbor	neighbor	NOUN
ajst-20789	34	17	linear	linear	PROPN
ajst-20789	34	18	kernel	kernel	PROPN
ajst-20789	34	19	weighted	weight	VERB
ajst-20789	34	20	multi	multi	ADJ
ajst-20789	34	21	-	-	ADJ
ajst-20789	34	22	kernel	kernel	ADJ
ajst-20789	34	23	graph	graph	NOUN
ajst-20789	34	24	clustering	clustering	ADJ
ajst-20789	34	25	algorithm	algorithm	NOUN
ajst-20789	34	26	,	,	PUNCT
ajst-20789	34	27	the	the	DET
ajst-20789	34	28	multi	multi	ADJ
ajst-20789	34	29	-	-	ADJ
ajst-20789	34	30	kernel	kernel	ADJ
ajst-20789	34	31	graph	graph	NOUN
ajst-20789	34	32	clustering	cluster	VERB
ajst-20789	34	33	algorithm	algorithm	NOUN
ajst-20789	34	34	based	base	VERB
ajst-20789	34	35	on	on	ADP
ajst-20789	34	36	simultaneously	simultaneously	ADV
ajst-20789	34	37	preserving	preserve	VERB
ajst-20789	34	38	global	global	ADJ
ajst-20789	34	39	and	and	CCONJ
ajst-20789	34	40	local	local	ADJ
ajst-20789	34	41	structures	structure	NOUN
ajst-20789	34	42	,	,	PUNCT
ajst-20789	34	43	the	the	DET
ajst-20789	34	44	multi	multi	ADJ
ajst-20789	34	45	-	-	ADJ
ajst-20789	34	46	kernel	kernel	ADJ
ajst-20789	34	47	graph	graph	NOUN
ajst-20789	34	48	clustering	cluster	VERB
ajst-20789	34	49	algorithm	algorithm	NOUN
ajst-20789	34	50	based	base	VERB
ajst-20789	34	51	on	on	ADP
ajst-20789	34	52	direct	direct	ADJ
ajst-20789	34	53	consensus	consensus	NOUN
ajst-20789	34	54	relationship	relationship	NOUN
ajst-20789	34	55	graph	graph	NOUN
ajst-20789	34	56	learning	learning	NOUN
ajst-20789	34	57	,	,	PUNCT
ajst-20789	34	58	and	and	CCONJ
ajst-20789	34	59	the	the	DET
ajst-20789	34	60	multi	multi	ADJ
ajst-20789	34	61	-	-	ADJ
ajst-20789	34	62	kernel	kernel	ADJ
ajst-20789	34	63	graph	graph	NOUN
ajst-20789	34	64	tensor	tensor	NOUN
ajst-20789	34	65	clustering	cluster	VERB
ajst-20789	34	66	algorithm	algorithm	NOUN
ajst-20789	34	67	customized	customize	VERB
ajst-20789	34	68	for	for	ADP
ajst-20789	34	69	nonnegative	nonnegative	ADJ
ajst-20789	34	70	matrix	matrix	NOUN
ajst-20789	34	71	factorization	factorization	NOUN
ajst-20789	34	72	.	.	PUNCT
ajst-20789	35	1	2.1	2.1	NUM
ajst-20789	35	2	.	.	PUNCT
ajst-20789	35	3	nearest	near	ADJ
ajst-20789	35	4	neighbor	neighbor	PROPN
ajst-20789	35	5	linear	linear	PROPN
ajst-20789	35	6	kernel	kernel	PROPN
ajst-20789	35	7	weighted	weight	VERB
ajst-20789	35	8	multi	multi	ADJ
ajst-20789	35	9	-	-	ADJ
ajst-20789	35	10	kernel	kernel	ADJ
ajst-20789	35	11	graph	graph	NOUN
ajst-20789	35	12	clustering	cluster	VERB
ajst-20789	35	13	the	the	DET
ajst-20789	35	14	nearest	near	ADJ
ajst-20789	35	15	neighbor	neighbor	NOUN
ajst-20789	35	16	linear	linear	PROPN
ajst-20789	35	17	kernel	kernel	PROPN
ajst-20789	35	18	weighted	weight	VERB
ajst-20789	35	19	multi	multi	ADJ
ajst-20789	35	20	-	-	ADJ
ajst-20789	35	21	kernel	kernel	ADJ
ajst-20789	35	22	graph	graph	NOUN
ajst-20789	35	23	clustering	clustering	NOUN
ajst-20789	35	24	is	be	AUX
ajst-20789	35	25	an	an	DET
ajst-20789	35	26	advanced	advanced	ADJ
ajst-20789	35	27	clustering	clustering	ADJ
ajst-20789	35	28	algorithm	algorithm	NOUN
ajst-20789	35	29	that	that	PRON
ajst-20789	35	30	combines	combine	VERB
ajst-20789	35	31	the	the	DET
ajst-20789	35	32	advantages	advantage	NOUN
ajst-20789	35	33	of	of	ADP
ajst-20789	35	34	multi	multi	ADJ
ajst-20789	35	35	-	-	ADJ
ajst-20789	35	36	kernel	kernel	ADJ
ajst-20789	35	37	learning	learning	NOUN
ajst-20789	35	38	and	and	CCONJ
ajst-20789	35	39	graph	graph	NOUN
ajst-20789	35	40	clustering	cluster	VERB
ajst-20789	35	41	to	to	PART
ajst-20789	35	42	enhance	enhance	VERB
ajst-20789	35	43	clustering	clustering	ADJ
ajst-20789	35	44	performance	performance	NOUN
ajst-20789	35	45	through	through	ADP
ajst-20789	35	46	the	the	DET
ajst-20789	35	47	weighted	weighted	ADJ
ajst-20789	35	48	integration	integration	NOUN
ajst-20789	35	49	of	of	ADP
ajst-20789	35	50	linear	linear	ADJ
ajst-20789	35	51	kernels	kernel	NOUN
ajst-20789	35	52	based	base	VERB
ajst-20789	35	53	on	on	ADP
ajst-20789	35	54	nearest	near	ADJ
ajst-20789	35	55	neighbor	neighbor	NOUN
ajst-20789	35	56	relationships	relationship	NOUN
ajst-20789	35	57	.	.	PUNCT
ajst-20789	36	1	this	this	DET
ajst-20789	36	2	algorithm	algorithm	NOUN
ajst-20789	36	3	addresses	address	VERB
ajst-20789	36	4	the	the	DET
ajst-20789	36	5	limitations	limitation	NOUN
ajst-20789	36	6	of	of	ADP
ajst-20789	36	7	traditional	traditional	ADJ
ajst-20789	36	8	clustering	clustering	ADJ
ajst-20789	36	9	algorithms	algorithm	NOUN
ajst-20789	36	10	in	in	ADP
ajst-20789	36	11	handling	handle	VERB
ajst-20789	36	12	complex	complex	ADJ
ajst-20789	36	13	data	datum	NOUN
ajst-20789	36	14	structures	structure	NOUN
ajst-20789	36	15	by	by	ADP
ajst-20789	36	16	introducing	introduce	VERB
ajst-20789	36	17	the	the	DET
ajst-20789	36	18	concept	concept	NOUN
ajst-20789	36	19	of	of	ADP
ajst-20789	36	20	multi	multi	ADJ
ajst-20789	36	21	-	-	ADJ
ajst-20789	36	22	kernel	kernel	ADJ
ajst-20789	36	23	learning	learning	NOUN
ajst-20789	36	24	.	.	PUNCT
ajst-20789	37	1	multi	multi	ADJ
ajst-20789	37	2	-	-	ADJ
ajst-20789	37	3	kernel	kernel	ADJ
ajst-20789	37	4	learning	learning	NOUN
ajst-20789	37	5	allows	allow	VERB
ajst-20789	37	6	the	the	DET
ajst-20789	37	7	algorithm	algorithm	NOUN
ajst-20789	37	8	to	to	PART
ajst-20789	37	9	utilize	utilize	VERB
ajst-20789	37	10	multiple	multiple	ADJ
ajst-20789	37	11	different	different	ADJ
ajst-20789	37	12	kernel	kernel	NOUN
ajst-20789	37	13	functions	function	NOUN
ajst-20789	37	14	to	to	PART
ajst-20789	37	15	capture	capture	VERB
ajst-20789	37	16	various	various	ADJ
ajst-20789	37	17	features	feature	NOUN
ajst-20789	37	18	of	of	ADP
ajst-20789	37	19	the	the	DET
ajst-20789	37	20	data	datum	NOUN
ajst-20789	37	21	,	,	PUNCT
ajst-20789	37	22	thereby	thereby	ADV
ajst-20789	37	23	improving	improve	VERB
ajst-20789	37	24	clustering	clustering	ADJ
ajst-20789	37	25	accuracy	accuracy	NOUN
ajst-20789	37	26	.	.	PUNCT
ajst-20789	38	1	moreover	moreover	ADV
ajst-20789	38	2	,	,	PUNCT
ajst-20789	38	3	the	the	DET
ajst-20789	38	4	core	core	ADJ
ajst-20789	38	5	idea	idea	NOUN
ajst-20789	38	6	of	of	ADP
ajst-20789	38	7	the	the	DET
ajst-20789	38	8	algorithm	algorithm	NOUN
ajst-20789	38	9	lies	lie	VERB
ajst-20789	38	10	in	in	ADP
ajst-20789	38	11	the	the	DET
ajst-20789	38	12	nearest	near	ADJ
ajst-20789	38	13	neighbor	neighbor	NOUN
ajst-20789	38	14	linear	linear	PROPN
ajst-20789	38	15	kernel	kernel	PROPN
ajst-20789	38	16	weighting	weighting	NOUN
ajst-20789	38	17	.	.	PUNCT
ajst-20789	39	1	it	it	PRON
ajst-20789	39	2	calculates	calculate	VERB
ajst-20789	39	3	the	the	DET
ajst-20789	39	4	similarity	similarity	NOUN
ajst-20789	39	5	between	between	ADP
ajst-20789	39	6	different	different	ADJ
ajst-20789	39	7	kernel	kernel	NOUN
ajst-20789	39	8	functions	function	NOUN
ajst-20789	39	9	and	and	CCONJ
ajst-20789	39	10	assigns	assign	VERB
ajst-20789	39	11	them	they	PRON
ajst-20789	39	12	different	different	ADJ
ajst-20789	39	13	weights	weight	NOUN
ajst-20789	39	14	to	to	PART
ajst-20789	39	15	construct	construct	VERB
ajst-20789	39	16	a	a	DET
ajst-20789	39	17	weighted	weighted	ADJ
ajst-20789	39	18	multi	multi	ADJ
ajst-20789	39	19	-	-	ADJ
ajst-20789	39	20	kernel	kernel	ADJ
ajst-20789	39	21	matrix	matrix	NOUN
ajst-20789	39	22	.	.	PUNCT
ajst-20789	40	1	this	this	DET
ajst-20789	40	2	approach	approach	NOUN
ajst-20789	40	3	maximizes	maximize	VERB
ajst-20789	40	4	the	the	DET
ajst-20789	40	5	advantages	advantage	NOUN
ajst-20789	40	6	of	of	ADP
ajst-20789	40	7	different	different	ADJ
ajst-20789	40	8	kernel	kernel	NOUN
ajst-20789	40	9	functions	function	NOUN
ajst-20789	40	10	while	while	SCONJ
ajst-20789	40	11	reducing	reduce	VERB
ajst-20789	40	12	the	the	DET
ajst-20789	40	13	impact	impact	NOUN
ajst-20789	40	14	of	of	ADP
ajst-20789	40	15	noise	noise	NOUN
ajst-20789	40	16	and	and	CCONJ
ajst-20789	40	17	redundant	redundant	ADJ
ajst-20789	40	18	information[2	information[2	NOUN
ajst-20789	40	19	]	]	PUNCT
ajst-20789	40	20	.	.	PUNCT
ajst-20789	41	1	furthermore	furthermore	ADV
ajst-20789	41	2	,	,	PUNCT
ajst-20789	41	3	the	the	DET
ajst-20789	41	4	algorithm	algorithm	NOUN
ajst-20789	41	5	incorporates	incorporate	VERB
ajst-20789	41	6	the	the	DET
ajst-20789	41	7	idea	idea	NOUN
ajst-20789	41	8	of	of	ADP
ajst-20789	41	9	graph	graph	NOUN
ajst-20789	41	10	clustering	clustering	NOUN
ajst-20789	41	11	,	,	PUNCT
ajst-20789	41	12	which	which	PRON
ajst-20789	41	13	is	be	AUX
ajst-20789	41	14	a	a	DET
ajst-20789	41	15	clustering	cluster	VERB
ajst-20789	41	16	method	method	NOUN
ajst-20789	41	17	based	base	VERB
ajst-20789	41	18	on	on	ADP
ajst-20789	41	19	graph	graph	NOUN
ajst-20789	41	20	theory	theory	NOUN
ajst-20789	41	21	that	that	PRON
ajst-20789	41	22	discovers	discover	VERB
ajst-20789	41	23	cluster	cluster	NOUN
ajst-20789	41	24	structures	structure	NOUN
ajst-20789	41	25	in	in	ADP
ajst-20789	41	26	data	datum	NOUN
ajst-20789	41	27	by	by	ADP
ajst-20789	41	28	constructing	construct	VERB
ajst-20789	41	29	a	a	DET
ajst-20789	41	30	graph	graph	NOUN
ajst-20789	41	31	model	model	NOUN
ajst-20789	41	32	.	.	PUNCT
ajst-20789	42	1	in	in	ADP
ajst-20789	42	2	the	the	DET
ajst-20789	42	3	nearest	near	ADJ
ajst-20789	42	4	neighbor	neighbor	NOUN
ajst-20789	42	5	linear	linear	PROPN
ajst-20789	42	6	kernel	kernel	PROPN
ajst-20789	42	7	weighted	weight	VERB
ajst-20789	42	8	multi	multi	ADJ
ajst-20789	42	9	-	-	ADJ
ajst-20789	42	10	kernel	kernel	ADJ
ajst-20789	42	11	graph	graph	NOUN
ajst-20789	42	12	clustering	clustering	NOUN
ajst-20789	42	13	,	,	PUNCT
ajst-20789	42	14	the	the	DET
ajst-20789	42	15	algorithm	algorithm	NOUN
ajst-20789	42	16	first	first	ADV
ajst-20789	42	17	constructs	construct	VERB
ajst-20789	42	18	a	a	DET
ajst-20789	42	19	consensus	consensus	NOUN
ajst-20789	42	20	relationship	relationship	NOUN
ajst-20789	42	21	graph	graph	NOUN
ajst-20789	42	22	and	and	CCONJ
ajst-20789	42	23	then	then	ADV
ajst-20789	42	24	partitions	partition	VERB
ajst-20789	42	25	it	it	PRON
ajst-20789	42	26	using	use	VERB
ajst-20789	42	27	graph	graph	NOUN
ajst-20789	42	28	clustering	cluster	VERB
ajst-20789	42	29	algorithms	algorithm	NOUN
ajst-20789	42	30	to	to	PART
ajst-20789	42	31	obtain	obtain	VERB
ajst-20789	42	32	the	the	DET
ajst-20789	42	33	final	final	ADJ
ajst-20789	42	34	clustering	clustering	NOUN
ajst-20789	42	35	result	result	NOUN
ajst-20789	42	36	.	.	PUNCT
ajst-20789	43	1	it	it	PRON
ajst-20789	43	2	leverages	leverage	VERB
ajst-20789	43	3	both	both	CCONJ
ajst-20789	43	4	global	global	ADJ
ajst-20789	43	5	and	and	CCONJ
ajst-20789	43	6	local	local	ADJ
ajst-20789	43	7	structural	structural	ADJ
ajst-20789	43	8	information	information	NOUN
ajst-20789	43	9	of	of	ADP
ajst-20789	43	10	the	the	DET
ajst-20789	43	11	data	datum	NOUN
ajst-20789	43	12	while	while	SCONJ
ajst-20789	43	13	considering	consider	VERB
ajst-20789	43	14	the	the	DET
ajst-20789	43	15	complementarity	complementarity	NOUN
ajst-20789	43	16	between	between	ADP
ajst-20789	43	17	different	different	ADJ
ajst-20789	43	18	kernel	kernel	NOUN
ajst-20789	43	19	functions	function	NOUN
ajst-20789	43	20	,	,	PUNCT
ajst-20789	43	21	demonstrating	demonstrate	VERB
ajst-20789	43	22	excellent	excellent	ADJ
ajst-20789	43	23	performance	performance	NOUN
ajst-20789	43	24	in	in	ADP
ajst-20789	43	25	handling	handle	VERB
ajst-20789	43	26	datasets	dataset	NOUN
ajst-20789	43	27	with	with	ADP
ajst-20789	43	28	complex	complex	ADJ
ajst-20789	43	29	structures	structure	NOUN
ajst-20789	43	30	and	and	CCONJ
ajst-20789	43	31	features	feature	NOUN
ajst-20789	43	32	.	.	PUNCT
ajst-20789	44	1	however	however	ADV
ajst-20789	44	2	,	,	PUNCT
ajst-20789	44	3	the	the	DET
ajst-20789	44	4	algorithm	algorithm	NOUN
ajst-20789	44	5	's	's	PART
ajst-20789	44	6	computational	computational	ADJ
ajst-20789	44	7	complexity	complexity	NOUN
ajst-20789	44	8	is	be	AUX
ajst-20789	44	9	relatively	relatively	ADV
ajst-20789	44	10	high	high	ADJ
ajst-20789	44	11	,	,	PUNCT
ajst-20789	44	12	requiring	require	VERB
ajst-20789	44	13	significant	significant	ADJ
ajst-20789	44	14	computational	computational	ADJ
ajst-20789	44	15	resources	resource	NOUN
ajst-20789	44	16	.	.	PUNCT
ajst-20789	45	1	in	in	ADP
ajst-20789	45	2	terms	term	NOUN
ajst-20789	45	3	of	of	ADP
ajst-20789	45	4	applications	application	NOUN
ajst-20789	45	5	,	,	PUNCT
ajst-20789	45	6	the	the	DET
ajst-20789	45	7	nearest	near	ADJ
ajst-20789	45	8	neighbor	neighbor	NOUN
ajst-20789	45	9	linear	linear	PROPN
ajst-20789	45	10	kernel	kernel	PROPN
ajst-20789	45	11	weighted	weight	VERB
ajst-20789	45	12	multi	multi	ADJ
ajst-20789	45	13	-	-	ADJ
ajst-20789	45	14	kernel	kernel	ADJ
ajst-20789	45	15	graph	graph	NOUN
ajst-20789	45	16	clustering	cluster	VERB
ajst-20789	45	17	algorithm	algorithm	NOUN
ajst-20789	45	18	has	have	AUX
ajst-20789	45	19	been	be	AUX
ajst-20789	45	20	widely	widely	ADV
ajst-20789	45	21	used	use	VERB
ajst-20789	45	22	in	in	ADP
ajst-20789	45	23	fields	field	NOUN
ajst-20789	45	24	such	such	ADJ
ajst-20789	45	25	as	as	ADP
ajst-20789	45	26	image	image	NOUN
ajst-20789	45	27	recognition	recognition	NOUN
ajst-20789	45	28	,	,	PUNCT
ajst-20789	45	29	text	text	NOUN
ajst-20789	45	30	classification	classification	NOUN
ajst-20789	45	31	,	,	PUNCT
ajst-20789	45	32	and	and	CCONJ
ajst-20789	45	33	bioinformatics	bioinformatics	NOUN
ajst-20789	45	34	.	.	PUNCT
ajst-20789	46	1	in	in	ADP
ajst-20789	46	2	these	these	DET
ajst-20789	46	3	domains	domain	NOUN
ajst-20789	46	4	,	,	PUNCT
ajst-20789	46	5	the	the	DET
ajst-20789	46	6	algorithm	algorithm	NOUN
ajst-20789	46	7	effectively	effectively	ADV
ajst-20789	46	8	handles	handle	VERB
ajst-20789	46	9	large	large	ADJ
ajst-20789	46	10	-	-	PUNCT
ajst-20789	46	11	scale	scale	NOUN
ajst-20789	46	12	high	high	ADJ
ajst-20789	46	13	-	-	PUNCT
ajst-20789	46	14	dimensional	dimensional	ADJ
ajst-20789	46	15	data	datum	NOUN
ajst-20789	46	16	,	,	PUNCT
ajst-20789	46	17	uncovering	uncover	VERB
ajst-20789	46	18	the	the	DET
ajst-20789	46	19	intrinsic	intrinsic	ADJ
ajst-20789	46	20	structures	structure	NOUN
ajst-20789	46	21	and	and	CCONJ
ajst-20789	46	22	patterns	pattern	NOUN
ajst-20789	46	23	within	within	ADP
ajst-20789	46	24	the	the	DET
ajst-20789	46	25	data	datum	NOUN
ajst-20789	46	26	.	.	PUNCT
ajst-20789	47	1	future	future	ADJ
ajst-20789	47	2	research	research	NOUN
ajst-20789	47	3	directions	direction	NOUN
ajst-20789	47	4	include	include	VERB
ajst-20789	47	5	optimizing	optimize	VERB
ajst-20789	47	6	the	the	DET
ajst-20789	47	7	algorithm	algorithm	NOUN
ajst-20789	47	8	's	's	PART
ajst-20789	47	9	computational	computational	ADJ
ajst-20789	47	10	efficiency	efficiency	NOUN
ajst-20789	47	11	,	,	PUNCT
ajst-20789	47	12	reducing	reduce	VERB
ajst-20789	47	13	computational	computational	ADJ
ajst-20789	47	14	complexity	complexity	NOUN
ajst-20789	47	15	,	,	PUNCT
ajst-20789	47	16	designing	design	VERB
ajst-20789	47	17	more	more	ADV
ajst-20789	47	18	effective	effective	ADJ
ajst-20789	47	19	kernel	kernel	NOUN
ajst-20789	47	20	function	function	NOUN
ajst-20789	47	21	selection	selection	NOUN
ajst-20789	47	22	strategies	strategy	NOUN
ajst-20789	47	23	to	to	PART
ajst-20789	47	24	adapt	adapt	VERB
ajst-20789	47	25	to	to	ADP
ajst-20789	47	26	different	different	ADJ
ajst-20789	47	27	types	type	NOUN
ajst-20789	47	28	of	of	ADP
ajst-20789	47	29	datasets	dataset	NOUN
ajst-20789	47	30	,	,	PUNCT
ajst-20789	47	31	and	and	CCONJ
ajst-20789	47	32	integrating	integrate	VERB
ajst-20789	47	33	other	other	ADJ
ajst-20789	47	34	advanced	advanced	ADJ
ajst-20789	47	35	machine	machine	NOUN
ajst-20789	47	36	learning	learn	VERB
ajst-20789	47	37	techniques	technique	NOUN
ajst-20789	47	38	to	to	PART
ajst-20789	47	39	further	far	ADV
ajst-20789	47	40	enhance	enhance	VERB
ajst-20789	47	41	clustering	clustering	ADJ
ajst-20789	47	42	performance	performance	NOUN
ajst-20789	47	43	and	and	CCONJ
ajst-20789	47	44	accuracy	accuracy	NOUN
ajst-20789	47	45	.	.	PUNCT
ajst-20789	48	1	2.2	2.2	NUM
ajst-20789	48	2	.	.	PUNCT
ajst-20789	49	1	the	the	DET
ajst-20789	49	2	multi	multi	ADJ
ajst-20789	49	3	-	-	ADJ
ajst-20789	49	4	kernel	kernel	ADJ
ajst-20789	49	5	graph	graph	NOUN
ajst-20789	49	6	clustering	cluster	VERB
ajst-20789	49	7	algorithm	algorithm	NOUN
ajst-20789	49	8	based	base	VERB
ajst-20789	49	9	on	on	ADP
ajst-20789	49	10	simultaneously	simultaneously	ADV
ajst-20789	49	11	preserving	preserve	VERB
ajst-20789	49	12	global	global	ADJ
ajst-20789	49	13	and	and	CCONJ
ajst-20789	49	14	local	local	ADJ
ajst-20789	49	15	structures	structure	NOUN
ajst-20789	49	16	the	the	DET
ajst-20789	49	17	structure	structure	NOUN
ajst-20789	49	18	preserving	preserve	VERB
ajst-20789	49	19	multiple	multiple	ADJ
ajst-20789	49	20	kernel	kernel	NOUN
ajst-20789	49	21	clustering	cluster	VERB
ajst-20789	49	22	algorithm	algorithm	NOUN
ajst-20789	49	23	is	be	AUX
ajst-20789	49	24	a	a	DET
ajst-20789	49	25	graph	graph	NOUN
ajst-20789	49	26	clustering	cluster	VERB
ajst-20789	49	27	approach	approach	NOUN
ajst-20789	49	28	aimed	aim	VERB
ajst-20789	49	29	at	at	ADP
ajst-20789	49	30	improving	improve	VERB
ajst-20789	49	31	the	the	DET
ajst-20789	49	32	quality	quality	NOUN
ajst-20789	49	33	of	of	ADP
ajst-20789	49	34	relational	relational	ADJ
ajst-20789	49	35	graphs	graph	NOUN
ajst-20789	49	36	by	by	ADP
ajst-20789	49	37	considering	consider	VERB
ajst-20789	49	38	both	both	CCONJ
ajst-20789	49	39	global	global	ADJ
ajst-20789	49	40	and	and	CCONJ
ajst-20789	49	41	local	local	ADJ
ajst-20789	49	42	structure	structure	NOUN
ajst-20789	49	43	preservation	preservation	NOUN
ajst-20789	49	44	in	in	ADP
ajst-20789	49	45	the	the	DET
ajst-20789	49	46	kernel	kernel	PROPN
ajst-20789	49	47	space	space	NOUN
ajst-20789	49	48	of	of	ADP
ajst-20789	49	49	the	the	DET
ajst-20789	49	50	data	datum	NOUN
ajst-20789	49	51	.	.	PUNCT
ajst-20789	50	1	specifically	specifically	ADV
ajst-20789	50	2	,	,	PUNCT
ajst-20789	50	3	the	the	DET
ajst-20789	50	4	spmkc	spmkc	NOUN
ajst-20789	50	5	algorithm	algorithm	NOUN
ajst-20789	50	6	proposes	propose	VERB
ajst-20789	50	7	a	a	DET
ajst-20789	50	8	strategy	strategy	NOUN
ajst-20789	50	9	based	base	VERB
ajst-20789	50	10	on	on	ADP
ajst-20789	50	11	heat	heat	NOUN
ajst-20789	50	12	kernel	kernel	NOUN
ajst-20789	50	13	and	and	CCONJ
ajst-20789	50	14	nearest	near	ADJ
ajst-20789	50	15	neighbor	neighbor	NOUN
ajst-20789	50	16	kernel	kernel	PROPN
ajst-20789	50	17	weighting	weight	VERB
ajst-20789	50	18	to	to	PART
ajst-20789	50	19	learn	learn	VERB
ajst-20789	50	20	the	the	DET
ajst-20789	50	21	optimal	optimal	ADJ
ajst-20789	50	22	consensus	consensus	NOUN
ajst-20789	50	23	kernel	kernel	NOUN
ajst-20789	50	24	.	.	PUNCT
ajst-20789	51	1	this	this	DET
ajst-20789	51	2	strategy	strategy	NOUN
ajst-20789	51	3	helps	help	VERB
ajst-20789	51	4	the	the	DET
ajst-20789	51	5	algorithm	algorithm	NOUN
ajst-20789	51	6	to	to	PART
ajst-20789	51	7	accurately	accurately	ADV
ajst-20789	51	8	identify	identify	VERB
ajst-20789	51	9	the	the	DET
ajst-20789	51	10	intrinsic	intrinsic	ADJ
ajst-20789	51	11	structure	structure	NOUN
ajst-20789	51	12	and	and	CCONJ
ajst-20789	51	13	features	feature	NOUN
ajst-20789	51	14	of	of	ADP
ajst-20789	51	15	the	the	DET
ajst-20789	51	16	data	datum	NOUN
ajst-20789	51	17	during	during	ADP
ajst-20789	51	18	the	the	DET
ajst-20789	51	19	clustering	clustering	ADJ
ajst-20789	51	20	process	process	NOUN
ajst-20789	51	21	.	.	PUNCT
ajst-20789	52	1	additionally	additionally	ADV
ajst-20789	52	2	,	,	PUNCT
ajst-20789	52	3	the	the	DET
ajst-20789	52	4	algorithm	algorithm	NOUN
ajst-20789	52	5	emphasizes	emphasize	VERB
ajst-20789	52	6	preserving	preserve	VERB
ajst-20789	52	7	the	the	DET
ajst-20789	52	8	global	global	ADJ
ajst-20789	52	9	and	and	CCONJ
ajst-20789	52	10	local	local	ADJ
ajst-20789	52	11	structures	structure	NOUN
ajst-20789	52	12	of	of	ADP
ajst-20789	52	13	the	the	DET
ajst-20789	52	14	data	datum	NOUN
ajst-20789	52	15	,	,	PUNCT
ajst-20789	52	16	meaning	mean	VERB
ajst-20789	52	17	that	that	SCONJ
ajst-20789	52	18	it	it	PRON
ajst-20789	52	19	attempts	attempt	VERB
ajst-20789	52	20	to	to	PART
ajst-20789	52	21	maintain	maintain	VERB
ajst-20789	52	22	the	the	DET
ajst-20789	52	23	relative	relative	ADJ
ajst-20789	52	24	positions	position	NOUN
ajst-20789	52	25	and	and	CCONJ
ajst-20789	52	26	relationships	relationship	NOUN
ajst-20789	52	27	between	between	ADP
ajst-20789	52	28	data	datum	NOUN
ajst-20789	52	29	points	point	NOUN
ajst-20789	52	30	as	as	ADV
ajst-20789	52	31	much	much	ADV
ajst-20789	52	32	as	as	ADP
ajst-20789	52	33	possible	possible	ADJ
ajst-20789	52	34	during	during	ADP
ajst-20789	52	35	clustering	cluster	VERB
ajst-20789	52	36	to	to	PART
ajst-20789	52	37	better	well	ADV
ajst-20789	52	38	reflect	reflect	VERB
ajst-20789	52	39	the	the	DET
ajst-20789	52	40	true	true	ADJ
ajst-20789	52	41	distribution	distribution	NOUN
ajst-20789	52	42	and	and	CCONJ
ajst-20789	52	43	characteristics	characteristic	NOUN
ajst-20789	52	44	of	of	ADP
ajst-20789	52	45	the	the	DET
ajst-20789	52	46	data	datum	NOUN
ajst-20789	52	47	.	.	PUNCT
ajst-20789	53	1	through	through	ADP
ajst-20789	53	2	this	this	DET
ajst-20789	53	3	approach	approach	NOUN
ajst-20789	53	4	,	,	PUNCT
ajst-20789	53	5	the	the	DET
ajst-20789	53	6	spmkc	spmkc	NOUN
ajst-20789	53	7	algorithm	algorithm	NOUN
ajst-20789	53	8	achieves	achieve	VERB
ajst-20789	53	9	better	well	ADJ
ajst-20789	53	10	performance	performance	NOUN
ajst-20789	53	11	in	in	ADP
ajst-20789	53	12	multi	multi	ADJ
ajst-20789	53	13	-	-	ADJ
ajst-20789	53	14	kernel	kernel	ADJ
ajst-20789	53	15	graph	graph	NOUN
ajst-20789	53	16	clustering	cluster	VERB
ajst-20789	53	17	,	,	PUNCT
ajst-20789	53	18	enhancing	enhance	VERB
ajst-20789	53	19	clustering	clustering	ADJ
ajst-20789	53	20	accuracy	accuracy	NOUN
ajst-20789	53	21	and	and	CCONJ
ajst-20789	53	22	stability.[3	stability.[3	PROPN
ajst-20789	53	23	]	]	X
ajst-20789	53	24	it	it	PRON
ajst-20789	53	25	holds	hold	VERB
ajst-20789	53	26	significant	significant	ADJ
ajst-20789	53	27	potential	potential	NOUN
ajst-20789	53	28	for	for	ADP
ajst-20789	53	29	practical	practical	ADJ
ajst-20789	53	30	applications	application	NOUN
ajst-20789	53	31	,	,	PUNCT
ajst-20789	53	32	particularly	particularly	ADV
ajst-20789	53	33	in	in	ADP
ajst-20789	53	34	dealing	deal	VERB
ajst-20789	53	35	with	with	ADP
ajst-20789	53	36	complex	complex	ADJ
ajst-20789	53	37	and	and	CCONJ
ajst-20789	53	38	large	large	ADJ
ajst-20789	53	39	-	-	PUNCT
ajst-20789	53	40	scale	scale	NOUN
ajst-20789	53	41	datasets	dataset	NOUN
ajst-20789	53	42	.	.	PUNCT
ajst-20789	54	1	it	it	PRON
ajst-20789	54	2	's	be	AUX
ajst-20789	54	3	worth	worth	ADJ
ajst-20789	54	4	noting	note	VERB
ajst-20789	54	5	that	that	SCONJ
ajst-20789	54	6	while	while	SCONJ
ajst-20789	54	7	the	the	DET
ajst-20789	54	8	spmkc	spmkc	NOUN
ajst-20789	54	9	algorithm	algorithm	NOUN
ajst-20789	54	10	excels	excel	VERB
ajst-20789	54	11	in	in	ADP
ajst-20789	54	12	preserving	preserve	VERB
ajst-20789	54	13	global	global	ADJ
ajst-20789	54	14	and	and	CCONJ
ajst-20789	54	15	local	local	ADJ
ajst-20789	54	16	structures	structure	NOUN
ajst-20789	54	17	,	,	PUNCT
ajst-20789	54	18	its	its	PRON
ajst-20789	54	19	performance	performance	NOUN
ajst-20789	54	20	is	be	AUX
ajst-20789	54	21	still	still	ADV
ajst-20789	54	22	influenced	influence	VERB
ajst-20789	54	23	by	by	ADP
ajst-20789	54	24	various	various	ADJ
ajst-20789	54	25	factors	factor	NOUN
ajst-20789	54	26	such	such	ADJ
ajst-20789	54	27	as	as	ADP
ajst-20789	54	28	data	data	NOUN
ajst-20789	54	29	distribution	distribution	NOUN
ajst-20789	54	30	,	,	PUNCT
ajst-20789	54	31	noise	noise	NOUN
ajst-20789	54	32	interference	interference	NOUN
ajst-20789	54	33	,	,	PUNCT
ajst-20789	54	34	and	and	CCONJ
ajst-20789	54	35	algorithm	algorithm	NOUN
ajst-20789	54	36	parameter	parameter	NOUN
ajst-20789	54	37	settings	setting	NOUN
ajst-20789	54	38	.	.	PUNCT
ajst-20789	55	1	therefore	therefore	ADV
ajst-20789	55	2	,	,	PUNCT
ajst-20789	55	3	in	in	ADP
ajst-20789	55	4	practical	practical	ADJ
ajst-20789	55	5	applications	application	NOUN
ajst-20789	55	6	,	,	PUNCT
ajst-20789	55	7	adjustments	adjustment	NOUN
ajst-20789	55	8	and	and	CCONJ
ajst-20789	55	9	optimizations	optimization	NOUN
ajst-20789	55	10	to	to	ADP
ajst-20789	55	11	the	the	DET
ajst-20789	55	12	algorithm	algorithm	NOUN
ajst-20789	55	13	may	may	AUX
ajst-20789	55	14	be	be	AUX
ajst-20789	55	15	necessary	necessary	ADJ
ajst-20789	55	16	to	to	PART
ajst-20789	55	17	achieve	achieve	VERB
ajst-20789	55	18	the	the	DET
ajst-20789	55	19	best	good	ADJ
ajst-20789	55	20	clustering	clustering	ADJ
ajst-20789	55	21	results	result	NOUN
ajst-20789	55	22	based	base	VERB
ajst-20789	55	23	on	on	ADP
ajst-20789	55	24	specific	specific	ADJ
ajst-20789	55	25	circumstances	circumstance	NOUN
ajst-20789	55	26	.	.	PUNCT
ajst-20789	56	1	2.3	2.3	NUM
ajst-20789	56	2	.	.	PUNCT
ajst-20789	57	1	the	the	DET
ajst-20789	57	2	multiple	multiple	ADJ
ajst-20789	57	3	kernel	kernel	NOUN
ajst-20789	57	4	graph	graph	NOUN
ajst-20789	57	5	clustering	cluster	VERB
ajst-20789	57	6	algorithm	algorithm	NOUN
ajst-20789	57	7	based	base	VERB
ajst-20789	57	8	on	on	ADP
ajst-20789	57	9	direct	direct	ADJ
ajst-20789	57	10	consensus	consensus	NOUN
ajst-20789	57	11	relationship	relationship	NOUN
ajst-20789	57	12	graph	graph	NOUN
ajst-20789	57	13	learning	learning	NOUN
ajst-20789	57	14	.	.	PUNCT
ajst-20789	58	1	the	the	DET
ajst-20789	58	2	consensus	consensus	NOUN
ajst-20789	58	3	relationship	relationship	NOUN
ajst-20789	58	4	graph	graph	NOUN
ajst-20789	58	5	learning	learning	NOUN
ajst-20789	58	6	-	-	PUNCT
ajst-20789	58	7	based	base	VERB
ajst-20789	58	8	multiple	multiple	ADJ
ajst-20789	58	9	kernel	kernel	NOUN
ajst-20789	58	10	graph	graph	NOUN
ajst-20789	58	11	clustering	cluster	VERB
ajst-20789	58	12	algorithm	algorithm	NOUN
ajst-20789	58	13	is	be	AUX
ajst-20789	58	14	an	an	DET
ajst-20789	58	15	innovative	innovative	ADJ
ajst-20789	58	16	85	85	NUM
ajst-20789	58	17	clustering	cluster	VERB
ajst-20789	58	18	approach	approach	NOUN
ajst-20789	58	19	designed	design	VERB
ajst-20789	58	20	to	to	PART
ajst-20789	58	21	address	address	VERB
ajst-20789	58	22	efficiency	efficiency	NOUN
ajst-20789	58	23	issues	issue	NOUN
ajst-20789	58	24	of	of	ADP
ajst-20789	58	25	traditional	traditional	ADJ
ajst-20789	58	26	clustering	clustering	ADJ
ajst-20789	58	27	algorithms	algorithm	NOUN
ajst-20789	58	28	when	when	SCONJ
ajst-20789	58	29	dealing	deal	VERB
ajst-20789	58	30	with	with	ADP
ajst-20789	58	31	largescale	largescale	ADJ
ajst-20789	58	32	high	high	ADJ
ajst-20789	58	33	-	-	PUNCT
ajst-20789	58	34	dimensional	dimensional	ADJ
ajst-20789	58	35	data	datum	NOUN
ajst-20789	58	36	.	.	PUNCT
ajst-20789	59	1	this	this	DET
ajst-20789	59	2	algorithm	algorithm	NOUN
ajst-20789	59	3	is	be	AUX
ajst-20789	59	4	based	base	VERB
ajst-20789	59	5	on	on	ADP
ajst-20789	59	6	the	the	DET
ajst-20789	59	7	research	research	NOUN
ajst-20789	59	8	idea	idea	NOUN
ajst-20789	59	9	of	of	ADP
ajst-20789	59	10	pure	pure	ADJ
ajst-20789	59	11	graph	graph	NOUN
ajst-20789	59	12	multiple	multiple	ADJ
ajst-20789	59	13	kernel	kernel	NOUN
ajst-20789	59	14	graph	graph	NOUN
ajst-20789	59	15	clustering	clustering	NOUN
ajst-20789	59	16	,	,	PUNCT
ajst-20789	59	17	aiming	aim	VERB
ajst-20789	59	18	to	to	PART
ajst-20789	59	19	effectively	effectively	ADV
ajst-20789	59	20	discover	discover	VERB
ajst-20789	59	21	the	the	DET
ajst-20789	59	22	true	true	ADJ
ajst-20789	59	23	cluster	cluster	NOUN
ajst-20789	59	24	structure	structure	NOUN
ajst-20789	59	25	of	of	ADP
ajst-20789	59	26	data	datum	NOUN
ajst-20789	59	27	by	by	ADP
ajst-20789	59	28	directly	directly	ADV
ajst-20789	59	29	learning	learn	VERB
ajst-20789	59	30	consensus	consensus	NOUN
ajst-20789	59	31	relationship	relationship	NOUN
ajst-20789	59	32	graphs	graph	NOUN
ajst-20789	59	33	.	.	PUNCT
ajst-20789	60	1	cagl	cagl	NOUN
ajst-20789	60	2	simplifies	simplifie	NOUN
ajst-20789	60	3	the	the	DET
ajst-20789	60	4	algorithm	algorithm	NOUN
ajst-20789	60	5	process	process	NOUN
ajst-20789	60	6	and	and	CCONJ
ajst-20789	60	7	reduces	reduce	VERB
ajst-20789	60	8	computational	computational	ADJ
ajst-20789	60	9	complexity	complexity	NOUN
ajst-20789	60	10	by	by	ADP
ajst-20789	60	11	optimizing	optimize	VERB
ajst-20789	60	12	objectives	objective	NOUN
ajst-20789	60	13	,	,	PUNCT
ajst-20789	60	14	enabling	enable	VERB
ajst-20789	60	15	it	it	PRON
ajst-20789	60	16	to	to	PART
ajst-20789	60	17	maintain	maintain	VERB
ajst-20789	60	18	high	high	ADJ
ajst-20789	60	19	efficiency	efficiency	NOUN
ajst-20789	60	20	when	when	SCONJ
ajst-20789	60	21	processing	process	VERB
ajst-20789	60	22	large	large	ADJ
ajst-20789	60	23	-	-	PUNCT
ajst-20789	60	24	scale	scale	NOUN
ajst-20789	60	25	datasets	dataset	NOUN
ajst-20789	60	26	.	.	PUNCT
ajst-20789	61	1	through	through	ADP
ajst-20789	61	2	an	an	DET
ajst-20789	61	3	iterative	iterative	NOUN
ajst-20789	61	4	self	self	NOUN
ajst-20789	61	5	-	-	PUNCT
ajst-20789	61	6	adjusting	adjust	VERB
ajst-20789	61	7	laplacian	laplacian	ADJ
ajst-20789	61	8	rank	rank	NOUN
ajst-20789	61	9	constraint	constraint	NOUN
ajst-20789	61	10	weight	weight	NOUN
ajst-20789	61	11	method	method	NOUN
ajst-20789	61	12	,	,	PUNCT
ajst-20789	61	13	cagl	cagl	NOUN
ajst-20789	61	14	ensures	ensure	VERB
ajst-20789	61	15	precise	precise	ADJ
ajst-20789	61	16	connectivity	connectivity	NOUN
ajst-20789	61	17	components	component	NOUN
ajst-20789	61	18	in	in	ADP
ajst-20789	61	19	the	the	DET
ajst-20789	61	20	consensus	consensus	NOUN
ajst-20789	61	21	relationship	relationship	NOUN
ajst-20789	61	22	graph	graph	NOUN
ajst-20789	61	23	.	.	PUNCT
ajst-20789	62	1	this	this	DET
ajst-20789	62	2	approach	approach	NOUN
ajst-20789	62	3	aids	aid	VERB
ajst-20789	62	4	in	in	ADP
ajst-20789	62	5	better	well	ADV
ajst-20789	62	6	identifying	identify	VERB
ajst-20789	62	7	the	the	DET
ajst-20789	62	8	genuine	genuine	ADJ
ajst-20789	62	9	cluster	cluster	NOUN
ajst-20789	62	10	structure	structure	NOUN
ajst-20789	62	11	of	of	ADP
ajst-20789	62	12	data	datum	NOUN
ajst-20789	62	13	,	,	PUNCT
ajst-20789	62	14	thus	thus	ADV
ajst-20789	62	15	improving	improve	VERB
ajst-20789	62	16	clustering	clustering	ADJ
ajst-20789	62	17	accuracy	accuracy	NOUN
ajst-20789	62	18	.	.	PUNCT
ajst-20789	63	1	the	the	DET
ajst-20789	63	2	algorithm	algorithm	NOUN
ajst-20789	63	3	also	also	ADV
ajst-20789	63	4	adopts	adopt	VERB
ajst-20789	63	5	a	a	DET
ajst-20789	63	6	nearest	near	ADJ
ajst-20789	63	7	k	k	ADJ
ajst-20789	63	8	-	-	ADJ
ajst-20789	63	9	sparse	sparse	ADJ
ajst-20789	63	10	strategy	strategy	NOUN
ajst-20789	63	11	to	to	PART
ajst-20789	63	12	reduce	reduce	VERB
ajst-20789	63	13	redundant	redundant	ADJ
ajst-20789	63	14	edges	edge	NOUN
ajst-20789	63	15	in	in	ADP
ajst-20789	63	16	the	the	DET
ajst-20789	63	17	relationship	relationship	NOUN
ajst-20789	63	18	graph	graph	NOUN
ajst-20789	63	19	.	.	PUNCT
ajst-20789	64	1	this	this	PRON
ajst-20789	64	2	not	not	PART
ajst-20789	64	3	only	only	ADV
ajst-20789	64	4	lowers	lower	VERB
ajst-20789	64	5	computational	computational	ADJ
ajst-20789	64	6	complexity	complexity	NOUN
ajst-20789	64	7	but	but	CCONJ
ajst-20789	64	8	also	also	ADV
ajst-20789	64	9	enhances	enhance	VERB
ajst-20789	64	10	interclass	interclass	VERB
ajst-20789	64	11	sparsity	sparsity	NOUN
ajst-20789	64	12	,	,	PUNCT
ajst-20789	64	13	resulting	result	VERB
ajst-20789	64	14	in	in	ADP
ajst-20789	64	15	clearer	clear	ADJ
ajst-20789	64	16	clustering	clustering	ADJ
ajst-20789	64	17	outcomes	outcome	NOUN
ajst-20789	64	18	.	.	PUNCT
ajst-20789	65	1	a	a	DET
ajst-20789	65	2	self	self	NOUN
ajst-20789	65	3	-	-	PUNCT
ajst-20789	65	4	weighted	weight	VERB
ajst-20789	65	5	graph	graph	NOUN
ajst-20789	65	6	fusion	fusion	NOUN
ajst-20789	65	7	strategy	strategy	NOUN
ajst-20789	65	8	is	be	AUX
ajst-20789	65	9	proposed	propose	VERB
ajst-20789	65	10	to	to	PART
ajst-20789	65	11	integrate	integrate	VERB
ajst-20789	65	12	complementary	complementary	ADJ
ajst-20789	65	13	and	and	CCONJ
ajst-20789	65	14	consensus	consensus	NOUN
ajst-20789	65	15	information	information	NOUN
ajst-20789	65	16	from	from	ADP
ajst-20789	65	17	different	different	ADJ
ajst-20789	65	18	candidate	candidate	NOUN
ajst-20789	65	19	relationship	relationship	NOUN
ajst-20789	65	20	graphs	graph	NOUN
ajst-20789	65	21	,	,	PUNCT
ajst-20789	65	22	avoiding	avoid	VERB
ajst-20789	65	23	the	the	DET
ajst-20789	65	24	high	high	ADJ
ajst-20789	65	25	computational	computational	ADJ
ajst-20789	65	26	complexity	complexity	NOUN
ajst-20789	65	27	associated	associate	VERB
ajst-20789	65	28	with	with	ADP
ajst-20789	65	29	quadratic	quadratic	ADJ
ajst-20789	65	30	programming	programming	NOUN
ajst-20789	65	31	.	.	PUNCT
ajst-20789	66	1	this	this	DET
ajst-20789	66	2	feature	feature	NOUN
ajst-20789	66	3	enables	enable	VERB
ajst-20789	66	4	the	the	DET
ajst-20789	66	5	algorithm	algorithm	NOUN
ajst-20789	66	6	to	to	PART
ajst-20789	66	7	conserve	conserve	VERB
ajst-20789	66	8	computational	computational	ADJ
ajst-20789	66	9	resources	resource	NOUN
ajst-20789	66	10	while	while	SCONJ
ajst-20789	66	11	ensuring	ensure	VERB
ajst-20789	66	12	accuracy	accuracy	NOUN
ajst-20789	66	13	.	.	PUNCT
ajst-20789	67	1	in	in	ADP
ajst-20789	67	2	application	application	NOUN
ajst-20789	67	3	,	,	PUNCT
ajst-20789	67	4	the	the	DET
ajst-20789	67	5	consensus	consensus	NOUN
ajst-20789	67	6	relationship	relationship	NOUN
ajst-20789	67	7	graph	graph	NOUN
ajst-20789	67	8	learning	learning	NOUN
ajst-20789	67	9	-	-	PUNCT
ajst-20789	67	10	based	base	VERB
ajst-20789	67	11	multiple	multiple	ADJ
ajst-20789	67	12	kernel	kernel	NOUN
ajst-20789	67	13	graph	graph	NOUN
ajst-20789	67	14	clustering	cluster	VERB
ajst-20789	67	15	algorithm	algorithm	NOUN
ajst-20789	67	16	can	can	AUX
ajst-20789	67	17	be	be	AUX
ajst-20789	67	18	employed	employ	VERB
ajst-20789	67	19	in	in	ADP
ajst-20789	67	20	various	various	ADJ
ajst-20789	67	21	clustering	clustering	ADJ
ajst-20789	67	22	scenarios	scenario	NOUN
ajst-20789	67	23	,	,	PUNCT
ajst-20789	67	24	particularly	particularly	ADV
ajst-20789	67	25	for	for	ADP
ajst-20789	67	26	large	large	ADJ
ajst-20789	67	27	-	-	PUNCT
ajst-20789	67	28	scale	scale	NOUN
ajst-20789	67	29	high	high	ADJ
ajst-20789	67	30	-	-	PUNCT
ajst-20789	67	31	dimensional	dimensional	ADJ
ajst-20789	67	32	datasets	dataset	NOUN
ajst-20789	67	33	with	with	ADP
ajst-20789	67	34	complex	complex	ADJ
ajst-20789	67	35	structures	structure	NOUN
ajst-20789	67	36	and	and	CCONJ
ajst-20789	67	37	features	feature	NOUN
ajst-20789	67	38	,	,	PUNCT
ajst-20789	67	39	showcasing	showcase	VERB
ajst-20789	67	40	superior	superior	ADJ
ajst-20789	67	41	performance	performance	NOUN
ajst-20789	67	42	.	.	PUNCT
ajst-20789	68	1	therefore	therefore	ADV
ajst-20789	68	2	,	,	PUNCT
ajst-20789	68	3	this	this	DET
ajst-20789	68	4	algorithm	algorithm	NOUN
ajst-20789	68	5	represents	represent	VERB
ajst-20789	68	6	an	an	DET
ajst-20789	68	7	efficient	efficient	ADJ
ajst-20789	68	8	and	and	CCONJ
ajst-20789	68	9	accurate	accurate	ADJ
ajst-20789	68	10	clustering	clustering	NOUN
ajst-20789	68	11	method	method	NOUN
ajst-20789	68	12	,	,	PUNCT
ajst-20789	68	13	leveraging	leverage	VERB
ajst-20789	68	14	optimization	optimization	NOUN
ajst-20789	68	15	objectives	objective	NOUN
ajst-20789	68	16	,	,	PUNCT
ajst-20789	68	17	iterative	iterative	ADJ
ajst-20789	68	18	self	self	NOUN
ajst-20789	68	19	-	-	PUNCT
ajst-20789	68	20	adjustment	adjustment	NOUN
ajst-20789	68	21	of	of	ADP
ajst-20789	68	22	weights	weight	NOUN
ajst-20789	68	23	,	,	PUNCT
ajst-20789	68	24	nearest	near	ADJ
ajst-20789	68	25	k	k	ADJ
ajst-20789	68	26	-	-	ADJ
ajst-20789	68	27	sparse	sparse	ADJ
ajst-20789	68	28	strategy	strategy	NOUN
ajst-20789	68	29	,	,	PUNCT
ajst-20789	68	30	and	and	CCONJ
ajst-20789	68	31	self	self	NOUN
ajst-20789	68	32	-	-	PUNCT
ajst-20789	68	33	weighted	weight	VERB
ajst-20789	68	34	graph	graph	NOUN
ajst-20789	68	35	fusion	fusion	NOUN
ajst-20789	68	36	strategy	strategy	NOUN
ajst-20789	68	37	to	to	PART
ajst-20789	68	38	enhance	enhance	VERB
ajst-20789	68	39	clustering	clustering	ADJ
ajst-20789	68	40	accuracy	accuracy	NOUN
ajst-20789	68	41	and	and	CCONJ
ajst-20789	68	42	efficiency	efficiency	NOUN
ajst-20789	68	43	.	.	PUNCT
ajst-20789	69	1	2.4	2.4	NUM
ajst-20789	69	2	.	.	PUNCT
ajst-20789	70	1	the	the	DET
ajst-20789	70	2	multi	multi	ADJ
ajst-20789	70	3	-	-	ADJ
ajst-20789	70	4	kernel	kernel	ADJ
ajst-20789	70	5	graph	graph	NOUN
ajst-20789	70	6	tensor	tensor	NOUN
ajst-20789	70	7	clustering	cluster	VERB
ajst-20789	70	8	algorithm	algorithm	NOUN
ajst-20789	70	9	customized	customize	VERB
ajst-20789	70	10	by	by	ADP
ajst-20789	70	11	nonnegative	nonnegative	ADJ
ajst-20789	70	12	matrix	matrix	NOUN
ajst-20789	70	13	factorization	factorization	NOUN
ajst-20789	70	14	the	the	DET
ajst-20789	70	15	custom	custom	NOUN
ajst-20789	70	16	non	non	ADJ
ajst-20789	70	17	-	-	ADJ
ajst-20789	70	18	negative	negative	ADJ
ajst-20789	70	19	matrix	matrix	NOUN
ajst-20789	70	20	factorization	factorization	NOUN
ajst-20789	70	21	based	base	VERB
ajst-20789	70	22	multi	multi	ADJ
ajst-20789	70	23	-	-	ADJ
ajst-20789	70	24	kernel	kernel	ADJ
ajst-20789	70	25	graph	graph	NOUN
ajst-20789	70	26	tensor	tensor	NOUN
ajst-20789	70	27	clustering	cluster	VERB
ajst-20789	70	28	algorithm	algorithm	NOUN
ajst-20789	70	29	is	be	AUX
ajst-20789	70	30	an	an	DET
ajst-20789	70	31	advanced	advanced	ADJ
ajst-20789	70	32	clustering	clustering	NOUN
ajst-20789	70	33	technique	technique	NOUN
ajst-20789	70	34	that	that	PRON
ajst-20789	70	35	combines	combine	VERB
ajst-20789	70	36	the	the	DET
ajst-20789	70	37	principles	principle	NOUN
ajst-20789	70	38	of	of	ADP
ajst-20789	70	39	nmf	nmf	NOUN
ajst-20789	70	40	and	and	CCONJ
ajst-20789	70	41	multi	multi	ADJ
ajst-20789	70	42	-	-	ADJ
ajst-20789	70	43	kernel	kernel	ADJ
ajst-20789	70	44	graph	graph	NOUN
ajst-20789	70	45	tensor	tensor	NOUN
ajst-20789	70	46	clustering	clustering	NOUN
ajst-20789	70	47	.	.	PUNCT
ajst-20789	71	1	it	it	PRON
ajst-20789	71	2	aims	aim	VERB
ajst-20789	71	3	to	to	PART
ajst-20789	71	4	enhance	enhance	VERB
ajst-20789	71	5	clustering	clustering	NOUN
ajst-20789	71	6	effectiveness	effectiveness	NOUN
ajst-20789	71	7	and	and	CCONJ
ajst-20789	71	8	performance	performance	NOUN
ajst-20789	71	9	by	by	ADP
ajst-20789	71	10	leveraging	leverage	VERB
ajst-20789	71	11	the	the	DET
ajst-20789	71	12	characteristics	characteristic	NOUN
ajst-20789	71	13	of	of	ADP
ajst-20789	71	14	nmf	nmf	PROPN
ajst-20789	71	15	and	and	CCONJ
ajst-20789	71	16	the	the	DET
ajst-20789	71	17	advantages	advantage	NOUN
ajst-20789	71	18	of	of	ADP
ajst-20789	71	19	multi	multi	ADJ
ajst-20789	71	20	-	-	ADJ
ajst-20789	71	21	kernel	kernel	ADJ
ajst-20789	71	22	graph	graph	NOUN
ajst-20789	71	23	tensor	tensor	NOUN
ajst-20789	71	24	clustering[4	clustering[4	PROPN
ajst-20789	71	25	]	]	PUNCT
ajst-20789	71	26	.	.	PUNCT
ajst-20789	72	1	nmf	nmf	PROPN
ajst-20789	72	2	is	be	AUX
ajst-20789	72	3	a	a	DET
ajst-20789	72	4	matrix	matrix	NOUN
ajst-20789	72	5	factorization	factorization	NOUN
ajst-20789	72	6	method	method	NOUN
ajst-20789	72	7	that	that	PRON
ajst-20789	72	8	requires	require	VERB
ajst-20789	72	9	all	all	DET
ajst-20789	72	10	components	component	NOUN
ajst-20789	72	11	of	of	ADP
ajst-20789	72	12	the	the	DET
ajst-20789	72	13	decomposition	decomposition	NOUN
ajst-20789	72	14	to	to	PART
ajst-20789	72	15	be	be	AUX
ajst-20789	72	16	non	non	ADJ
ajst-20789	72	17	-	-	ADJ
ajst-20789	72	18	negative	negative	ADJ
ajst-20789	72	19	.	.	PUNCT
ajst-20789	73	1	this	this	DET
ajst-20789	73	2	method	method	NOUN
ajst-20789	73	3	enables	enable	VERB
ajst-20789	73	4	nonlinear	nonlinear	ADJ
ajst-20789	73	5	dimensionality	dimensionality	NOUN
ajst-20789	73	6	reduction	reduction	NOUN
ajst-20789	73	7	while	while	SCONJ
ajst-20789	73	8	preserving	preserve	VERB
ajst-20789	73	9	the	the	DET
ajst-20789	73	10	non	non	ADJ
ajst-20789	73	11	-	-	NOUN
ajst-20789	73	12	negativity	negativity	NOUN
ajst-20789	73	13	of	of	ADP
ajst-20789	73	14	the	the	DET
ajst-20789	73	15	data	datum	NOUN
ajst-20789	73	16	.	.	PUNCT
ajst-20789	74	1	by	by	ADP
ajst-20789	74	2	decomposing	decompose	VERB
ajst-20789	74	3	the	the	DET
ajst-20789	74	4	original	original	ADJ
ajst-20789	74	5	data	datum	NOUN
ajst-20789	74	6	into	into	ADP
ajst-20789	74	7	basis	basis	NOUN
ajst-20789	74	8	and	and	CCONJ
ajst-20789	74	9	coefficient	coefficient	NOUN
ajst-20789	74	10	matrices	matrix	NOUN
ajst-20789	74	11	,	,	PUNCT
ajst-20789	74	12	nmf	nmf	PROPN
ajst-20789	74	13	reveals	reveal	VERB
ajst-20789	74	14	the	the	DET
ajst-20789	74	15	intrinsic	intrinsic	ADJ
ajst-20789	74	16	structure	structure	NOUN
ajst-20789	74	17	and	and	CCONJ
ajst-20789	74	18	features	feature	NOUN
ajst-20789	74	19	of	of	ADP
ajst-20789	74	20	the	the	DET
ajst-20789	74	21	data	datum	NOUN
ajst-20789	74	22	.	.	PUNCT
ajst-20789	75	1	multikernel	multikernel	PROPN
ajst-20789	75	2	graph	graph	NOUN
ajst-20789	75	3	tensor	tensor	NOUN
ajst-20789	75	4	clustering	clustering	NOUN
ajst-20789	75	5	,	,	PUNCT
ajst-20789	75	6	on	on	ADP
ajst-20789	75	7	the	the	DET
ajst-20789	75	8	other	other	ADJ
ajst-20789	75	9	hand	hand	NOUN
ajst-20789	75	10	,	,	PUNCT
ajst-20789	75	11	is	be	AUX
ajst-20789	75	12	a	a	DET
ajst-20789	75	13	clustering	cluster	VERB
ajst-20789	75	14	algorithm	algorithm	NOUN
ajst-20789	75	15	based	base	VERB
ajst-20789	75	16	on	on	ADP
ajst-20789	75	17	multi	multi	ADJ
ajst-20789	75	18	-	-	ADJ
ajst-20789	75	19	kernel	kernel	ADJ
ajst-20789	75	20	learning	learning	NOUN
ajst-20789	75	21	and	and	CCONJ
ajst-20789	75	22	graph	graph	NOUN
ajst-20789	75	23	tensor	tensor	NOUN
ajst-20789	75	24	theory	theory	NOUN
ajst-20789	75	25	.	.	PUNCT
ajst-20789	76	1	it	it	PRON
ajst-20789	76	2	captures	capture	VERB
ajst-20789	76	3	different	different	ADJ
ajst-20789	76	4	data	datum	NOUN
ajst-20789	76	5	characteristics	characteristic	NOUN
ajst-20789	76	6	using	use	VERB
ajst-20789	76	7	multiple	multiple	ADJ
ajst-20789	76	8	kernel	kernel	NOUN
ajst-20789	76	9	functions	function	NOUN
ajst-20789	76	10	and	and	CCONJ
ajst-20789	76	11	constructs	construct	VERB
ajst-20789	76	12	a	a	DET
ajst-20789	76	13	graph	graph	NOUN
ajst-20789	76	14	model	model	NOUN
ajst-20789	76	15	of	of	ADP
ajst-20789	76	16	the	the	DET
ajst-20789	76	17	data	datum	NOUN
ajst-20789	76	18	based	base	VERB
ajst-20789	76	19	on	on	ADP
ajst-20789	76	20	tensor	tensor	NOUN
ajst-20789	76	21	theory	theory	NOUN
ajst-20789	76	22	to	to	PART
ajst-20789	76	23	discover	discover	VERB
ajst-20789	76	24	cluster	cluster	NOUN
ajst-20789	76	25	structures	structure	NOUN
ajst-20789	76	26	.	.	PUNCT
ajst-20789	77	1	this	this	DET
ajst-20789	77	2	approach	approach	NOUN
ajst-20789	77	3	effectively	effectively	ADV
ajst-20789	77	4	utilizes	utilize	VERB
ajst-20789	77	5	both	both	CCONJ
ajst-20789	77	6	global	global	ADJ
ajst-20789	77	7	and	and	CCONJ
ajst-20789	77	8	local	local	ADJ
ajst-20789	77	9	structural	structural	ADJ
ajst-20789	77	10	information	information	NOUN
ajst-20789	77	11	of	of	ADP
ajst-20789	77	12	the	the	DET
ajst-20789	77	13	data	datum	NOUN
ajst-20789	77	14	,	,	PUNCT
ajst-20789	77	15	thereby	thereby	ADV
ajst-20789	77	16	improving	improve	VERB
ajst-20789	77	17	clustering	clustering	ADJ
ajst-20789	77	18	accuracy[5	accuracy[5	NOUN
ajst-20789	77	19	]	]	X
ajst-20789	77	20	.	.	PUNCT
ajst-20789	78	1	the	the	DET
ajst-20789	78	2	custom	custom	NOUN
ajst-20789	78	3	nmf	nmf	PROPN
ajst-20789	78	4	-	-	PUNCT
ajst-20789	78	5	based	base	VERB
ajst-20789	78	6	multi	multi	ADJ
ajst-20789	78	7	-	-	ADJ
ajst-20789	78	8	kernel	kernel	ADJ
ajst-20789	78	9	graph	graph	NOUN
ajst-20789	78	10	tensor	tensor	NOUN
ajst-20789	78	11	clustering	cluster	VERB
ajst-20789	78	12	algorithm	algorithm	NOUN
ajst-20789	78	13	integrates	integrate	VERB
ajst-20789	78	14	nmf	nmf	NOUN
ajst-20789	78	15	principles	principle	NOUN
ajst-20789	78	16	into	into	ADP
ajst-20789	78	17	multikernel	multikernel	ADJ
ajst-20789	78	18	graph	graph	NOUN
ajst-20789	78	19	tensor	tensor	NOUN
ajst-20789	78	20	clustering	cluster	VERB
ajst-20789	78	21	through	through	ADP
ajst-20789	78	22	customization	customization	NOUN
ajst-20789	78	23	.	.	PUNCT
ajst-20789	79	1	specifically	specifically	ADV
ajst-20789	79	2	,	,	PUNCT
ajst-20789	79	3	the	the	DET
ajst-20789	79	4	algorithm	algorithm	NOUN
ajst-20789	79	5	preprocesses	preprocesse	VERB
ajst-20789	79	6	the	the	DET
ajst-20789	79	7	original	original	ADJ
ajst-20789	79	8	data	datum	NOUN
ajst-20789	79	9	using	use	VERB
ajst-20789	79	10	nmf	nmf	NOUN
ajst-20789	79	11	to	to	PART
ajst-20789	79	12	obtain	obtain	VERB
ajst-20789	79	13	basis	basis	NOUN
ajst-20789	79	14	and	and	CCONJ
ajst-20789	79	15	coefficient	coefficient	NOUN
ajst-20789	79	16	matrices	matrix	NOUN
ajst-20789	79	17	.	.	PUNCT
ajst-20789	80	1	then	then	ADV
ajst-20789	80	2	,	,	PUNCT
ajst-20789	80	3	it	it	PRON
ajst-20789	80	4	constructs	construct	VERB
ajst-20789	80	5	a	a	DET
ajst-20789	80	6	multi	multi	ADJ
ajst-20789	80	7	-	-	ADJ
ajst-20789	80	8	kernel	kernel	ADJ
ajst-20789	80	9	graph	graph	NOUN
ajst-20789	80	10	tensor	tensor	NOUN
ajst-20789	80	11	model	model	NOUN
ajst-20789	80	12	based	base	VERB
ajst-20789	80	13	on	on	ADP
ajst-20789	80	14	these	these	DET
ajst-20789	80	15	matrices	matrix	NOUN
ajst-20789	80	16	and	and	CCONJ
ajst-20789	80	17	performs	perform	VERB
ajst-20789	80	18	clustering	cluster	VERB
ajst-20789	80	19	using	use	VERB
ajst-20789	80	20	multi	multi	ADJ
ajst-20789	80	21	-	-	ADJ
ajst-20789	80	22	kernel	kernel	ADJ
ajst-20789	80	23	graph	graph	NOUN
ajst-20789	80	24	tensor	tensor	NOUN
ajst-20789	80	25	clustering	clustering	ADJ
ajst-20789	80	26	methods	method	NOUN
ajst-20789	80	27	.	.	PUNCT
ajst-20789	81	1	this	this	DET
ajst-20789	81	2	approach	approach	NOUN
ajst-20789	81	3	fully	fully	ADV
ajst-20789	81	4	utilizes	utilize	VERB
ajst-20789	81	5	the	the	DET
ajst-20789	81	6	advantages	advantage	NOUN
ajst-20789	81	7	of	of	ADP
ajst-20789	81	8	nmf	nmf	PROPN
ajst-20789	81	9	in	in	ADP
ajst-20789	81	10	data	datum	NOUN
ajst-20789	81	11	representation	representation	NOUN
ajst-20789	81	12	and	and	CCONJ
ajst-20789	81	13	feature	feature	NOUN
ajst-20789	81	14	extraction	extraction	NOUN
ajst-20789	81	15	,	,	PUNCT
ajst-20789	81	16	while	while	SCONJ
ajst-20789	81	17	combining	combine	VERB
ajst-20789	81	18	the	the	DET
ajst-20789	81	19	capability	capability	NOUN
ajst-20789	81	20	of	of	ADP
ajst-20789	81	21	multi	multi	ADJ
ajst-20789	81	22	-	-	ADJ
ajst-20789	81	23	kernel	kernel	ADJ
ajst-20789	81	24	graph	graph	NOUN
ajst-20789	81	25	tensor	tensor	NOUN
ajst-20789	81	26	clustering	clustering	NOUN
ajst-20789	81	27	to	to	PART
ajst-20789	81	28	discover	discover	VERB
ajst-20789	81	29	data	data	NOUN
ajst-20789	81	30	cluster	cluster	NOUN
ajst-20789	81	31	structures	structure	NOUN
ajst-20789	81	32	,	,	PUNCT
ajst-20789	81	33	thus	thus	ADV
ajst-20789	81	34	enhancing	enhance	VERB
ajst-20789	81	35	overall	overall	ADJ
ajst-20789	81	36	clustering	clustering	ADJ
ajst-20789	81	37	performance	performance	NOUN
ajst-20789	81	38	.	.	PUNCT
ajst-20789	82	1	the	the	DET
ajst-20789	82	2	algorithm	algorithm	NOUN
ajst-20789	82	3	's	's	PART
ajst-20789	82	4	strengths	strength	NOUN
ajst-20789	82	5	lie	lie	VERB
ajst-20789	82	6	in	in	ADP
ajst-20789	82	7	its	its	PRON
ajst-20789	82	8	ability	ability	NOUN
ajst-20789	82	9	to	to	PART
ajst-20789	82	10	fully	fully	ADV
ajst-20789	82	11	utilize	utilize	VERB
ajst-20789	82	12	the	the	DET
ajst-20789	82	13	non	non	ADJ
ajst-20789	82	14	-	-	NOUN
ajst-20789	82	15	negativity	negativity	ADJ
ajst-20789	82	16	,	,	PUNCT
ajst-20789	82	17	global	global	ADJ
ajst-20789	82	18	and	and	CCONJ
ajst-20789	82	19	local	local	ADJ
ajst-20789	82	20	structural	structural	ADJ
ajst-20789	82	21	information	information	NOUN
ajst-20789	82	22	of	of	ADP
ajst-20789	82	23	the	the	DET
ajst-20789	82	24	data	datum	NOUN
ajst-20789	82	25	,	,	PUNCT
ajst-20789	82	26	as	as	ADV
ajst-20789	82	27	well	well	ADV
ajst-20789	82	28	as	as	ADP
ajst-20789	82	29	the	the	DET
ajst-20789	82	30	complementary	complementary	ADJ
ajst-20789	82	31	nature	nature	NOUN
ajst-20789	82	32	of	of	ADP
ajst-20789	82	33	multiple	multiple	ADJ
ajst-20789	82	34	kernel	kernel	NOUN
ajst-20789	82	35	functions	function	NOUN
ajst-20789	82	36	.	.	PUNCT
ajst-20789	83	1	this	this	PRON
ajst-20789	83	2	makes	make	VERB
ajst-20789	83	3	it	it	PRON
ajst-20789	83	4	particularly	particularly	ADV
ajst-20789	83	5	effective	effective	ADJ
ajst-20789	83	6	in	in	ADP
ajst-20789	83	7	handling	handle	VERB
ajst-20789	83	8	datasets	dataset	NOUN
ajst-20789	83	9	with	with	ADP
ajst-20789	83	10	complex	complex	ADJ
ajst-20789	83	11	structures	structure	NOUN
ajst-20789	83	12	and	and	CCONJ
ajst-20789	83	13	features	feature	NOUN
ajst-20789	83	14	.	.	PUNCT
ajst-20789	84	1	however	however	ADV
ajst-20789	84	2	,	,	PUNCT
ajst-20789	84	3	the	the	DET
ajst-20789	84	4	algorithm	algorithm	NOUN
ajst-20789	84	5	's	's	PART
ajst-20789	84	6	computational	computational	ADJ
ajst-20789	84	7	complexity	complexity	NOUN
ajst-20789	84	8	is	be	AUX
ajst-20789	84	9	relatively	relatively	ADV
ajst-20789	84	10	high	high	ADJ
ajst-20789	84	11	,	,	PUNCT
ajst-20789	84	12	requiring	require	VERB
ajst-20789	84	13	significant	significant	ADJ
ajst-20789	84	14	computational	computational	ADJ
ajst-20789	84	15	resources	resource	NOUN
ajst-20789	84	16	.	.	PUNCT
ajst-20789	85	1	in	in	ADP
ajst-20789	85	2	terms	term	NOUN
ajst-20789	85	3	of	of	ADP
ajst-20789	85	4	applications	application	NOUN
ajst-20789	85	5	,	,	PUNCT
ajst-20789	85	6	the	the	DET
ajst-20789	85	7	custom	custom	NOUN
ajst-20789	85	8	nmf	nmf	PROPN
ajst-20789	85	9	-	-	PUNCT
ajst-20789	85	10	based	base	VERB
ajst-20789	85	11	multikernel	multikernel	PROPN
ajst-20789	85	12	graph	graph	NOUN
ajst-20789	85	13	tensor	tensor	NOUN
ajst-20789	85	14	clustering	cluster	VERB
ajst-20789	85	15	algorithm	algorithm	NOUN
ajst-20789	85	16	can	can	AUX
ajst-20789	85	17	be	be	AUX
ajst-20789	85	18	applied	apply	VERB
ajst-20789	85	19	to	to	ADP
ajst-20789	85	20	various	various	ADJ
ajst-20789	85	21	clustering	clustering	ADJ
ajst-20789	85	22	scenarios	scenario	NOUN
ajst-20789	85	23	,	,	PUNCT
ajst-20789	85	24	especially	especially	ADV
ajst-20789	85	25	for	for	ADP
ajst-20789	85	26	large	large	ADJ
ajst-20789	85	27	-	-	PUNCT
ajst-20789	85	28	scale	scale	NOUN
ajst-20789	85	29	highdimensional	highdimensional	ADJ
ajst-20789	85	30	datasets	dataset	NOUN
ajst-20789	85	31	with	with	ADP
ajst-20789	85	32	complex	complex	ADJ
ajst-20789	85	33	structures	structure	NOUN
ajst-20789	85	34	and	and	CCONJ
ajst-20789	85	35	features	feature	NOUN
ajst-20789	85	36	,	,	PUNCT
ajst-20789	85	37	where	where	SCONJ
ajst-20789	85	38	it	it	PRON
ajst-20789	85	39	demonstrates	demonstrate	VERB
ajst-20789	85	40	superior	superior	ADJ
ajst-20789	85	41	performance	performance	NOUN
ajst-20789	85	42	.	.	PUNCT
ajst-20789	86	1	future	future	ADJ
ajst-20789	86	2	research	research	NOUN
ajst-20789	86	3	directions	direction	NOUN
ajst-20789	86	4	include	include	VERB
ajst-20789	86	5	further	far	ADV
ajst-20789	86	6	optimizing	optimize	VERB
ajst-20789	86	7	the	the	DET
ajst-20789	86	8	algorithm	algorithm	NOUN
ajst-20789	86	9	's	's	PART
ajst-20789	86	10	computational	computational	ADJ
ajst-20789	86	11	efficiency	efficiency	NOUN
ajst-20789	86	12	and	and	CCONJ
ajst-20789	86	13	reducing	reduce	VERB
ajst-20789	86	14	its	its	PRON
ajst-20789	86	15	complexity	complexity	NOUN
ajst-20789	86	16	,	,	PUNCT
ajst-20789	86	17	designing	design	VERB
ajst-20789	86	18	more	more	ADV
ajst-20789	86	19	effective	effective	ADJ
ajst-20789	86	20	kernel	kernel	NOUN
ajst-20789	86	21	function	function	NOUN
ajst-20789	86	22	selection	selection	NOUN
ajst-20789	86	23	strategies	strategy	NOUN
ajst-20789	86	24	to	to	PART
ajst-20789	86	25	adapt	adapt	VERB
ajst-20789	86	26	to	to	ADP
ajst-20789	86	27	different	different	ADJ
ajst-20789	86	28	types	type	NOUN
ajst-20789	86	29	of	of	ADP
ajst-20789	86	30	datasets	dataset	NOUN
ajst-20789	86	31	,	,	PUNCT
ajst-20789	86	32	and	and	CCONJ
ajst-20789	86	33	integrating	integrate	VERB
ajst-20789	86	34	other	other	ADJ
ajst-20789	86	35	advanced	advanced	ADJ
ajst-20789	86	36	machine	machine	NOUN
ajst-20789	86	37	learning	learn	VERB
ajst-20789	86	38	techniques	technique	NOUN
ajst-20789	86	39	to	to	PART
ajst-20789	86	40	further	far	ADV
ajst-20789	86	41	enhance	enhance	VERB
ajst-20789	86	42	clustering	clustering	ADJ
ajst-20789	86	43	performance	performance	NOUN
ajst-20789	86	44	and	and	CCONJ
ajst-20789	86	45	accuracy	accuracy	NOUN
ajst-20789	86	46	.	.	PUNCT
ajst-20789	87	1	in	in	ADP
ajst-20789	87	2	summary	summary	NOUN
ajst-20789	87	3	,	,	PUNCT
ajst-20789	87	4	the	the	DET
ajst-20789	87	5	custom	custom	NOUN
ajst-20789	87	6	nmf	nmf	PROPN
ajst-20789	87	7	-	-	PUNCT
ajst-20789	87	8	based	base	VERB
ajst-20789	87	9	multi	multi	ADJ
ajst-20789	87	10	-	-	ADJ
ajst-20789	87	11	kernel	kernel	ADJ
ajst-20789	87	12	graph	graph	NOUN
ajst-20789	87	13	tensor	tensor	NOUN
ajst-20789	87	14	clustering	cluster	VERB
ajst-20789	87	15	algorithm	algorithm	NOUN
ajst-20789	87	16	is	be	AUX
ajst-20789	87	17	an	an	DET
ajst-20789	87	18	advanced	advanced	ADJ
ajst-20789	87	19	clustering	clustering	NOUN
ajst-20789	87	20	technique	technique	NOUN
ajst-20789	87	21	that	that	PRON
ajst-20789	87	22	combines	combine	VERB
ajst-20789	87	23	nmf	nmf	PROPN
ajst-20789	87	24	and	and	CCONJ
ajst-20789	87	25	multi	multi	ADJ
ajst-20789	87	26	-	-	ADJ
ajst-20789	87	27	kernel	kernel	ADJ
ajst-20789	87	28	graph	graph	NOUN
ajst-20789	87	29	tensor	tensor	NOUN
ajst-20789	87	30	clustering	clustering	ADJ
ajst-20789	87	31	methods	method	NOUN
ajst-20789	87	32	.	.	PUNCT
ajst-20789	88	1	by	by	ADP
ajst-20789	88	2	customizing	customize	VERB
ajst-20789	88	3	nmf	nmf	PROPN
ajst-20789	88	4	principles	principle	NOUN
ajst-20789	88	5	into	into	ADP
ajst-20789	88	6	multi	multi	ADJ
ajst-20789	88	7	-	-	ADJ
ajst-20789	88	8	kernel	kernel	ADJ
ajst-20789	88	9	graph	graph	NOUN
ajst-20789	88	10	tensor	tensor	NOUN
ajst-20789	88	11	clustering	clustering	NOUN
ajst-20789	88	12	,	,	PUNCT
ajst-20789	88	13	it	it	PRON
ajst-20789	88	14	improves	improve	VERB
ajst-20789	88	15	clustering	cluster	VERB
ajst-20789	88	16	effectiveness	effectiveness	NOUN
ajst-20789	88	17	and	and	CCONJ
ajst-20789	88	18	performance	performance	NOUN
ajst-20789	88	19	.	.	PUNCT
ajst-20789	89	1	however	however	ADV
ajst-20789	89	2	,	,	PUNCT
ajst-20789	89	3	the	the	DET
ajst-20789	89	4	algorithm	algorithm	NOUN
ajst-20789	89	5	still	still	ADV
ajst-20789	89	6	faces	face	VERB
ajst-20789	89	7	some	some	DET
ajst-20789	89	8	challenges	challenge	NOUN
ajst-20789	89	9	and	and	CCONJ
ajst-20789	89	10	requires	require	VERB
ajst-20789	89	11	further	further	ADJ
ajst-20789	89	12	research	research	NOUN
ajst-20789	89	13	.	.	PUNCT
ajst-20789	90	1	3	3	X
ajst-20789	90	2	.	.	X
ajst-20789	90	3	conclusion	conclusion	NOUN
ajst-20789	90	4	the	the	DET
ajst-20789	90	5	core	core	ADJ
ajst-20789	90	6	idea	idea	NOUN
ajst-20789	90	7	of	of	ADP
ajst-20789	90	8	the	the	DET
ajst-20789	90	9	nearest	near	ADJ
ajst-20789	90	10	neighbor	neighbor	NOUN
ajst-20789	90	11	linear	linear	PROPN
ajst-20789	90	12	kernel	kernel	PROPN
ajst-20789	90	13	weighted	weight	VERB
ajst-20789	90	14	multi	multi	ADJ
ajst-20789	90	15	-	-	ADJ
ajst-20789	90	16	kernel	kernel	ADJ
ajst-20789	90	17	graph	graph	NOUN
ajst-20789	90	18	clustering	cluster	VERB
ajst-20789	90	19	algorithm	algorithm	NOUN
ajst-20789	90	20	is	be	AUX
ajst-20789	90	21	to	to	PART
ajst-20789	90	22	introduce	introduce	VERB
ajst-20789	90	23	the	the	DET
ajst-20789	90	24	concept	concept	NOUN
ajst-20789	90	25	of	of	ADP
ajst-20789	90	26	neighborhood	neighborhood	NOUN
ajst-20789	90	27	based	base	VERB
ajst-20789	90	28	on	on	ADP
ajst-20789	90	29	the	the	DET
ajst-20789	90	30	traditional	traditional	ADJ
ajst-20789	90	31	linear	linear	ADJ
ajst-20789	90	32	kernel	kernel	PROPN
ajst-20789	90	33	weighted	weight	VERB
ajst-20789	90	34	research	research	NOUN
ajst-20789	90	35	approach	approach	NOUN
ajst-20789	90	36	.	.	PUNCT
ajst-20789	91	1	it	it	PRON
ajst-20789	91	2	treats	treat	VERB
ajst-20789	91	3	the	the	DET
ajst-20789	91	4	kernel	kernel	NOUN
ajst-20789	91	5	generated	generate	VERB
ajst-20789	91	6	by	by	ADP
ajst-20789	91	7	linear	linear	NOUN
ajst-20789	91	8	weighting	weighting	NOUN
ajst-20789	91	9	as	as	ADP
ajst-20789	91	10	a	a	DET
ajst-20789	91	11	pseudoconsensus	pseudoconsensus	NOUN
ajst-20789	91	12	kernel	kernel	NOUN
ajst-20789	91	13	and	and	CCONJ
ajst-20789	91	14	searches	search	NOUN
ajst-20789	91	15	for	for	ADP
ajst-20789	91	16	the	the	DET
ajst-20789	91	17	optimal	optimal	ADJ
ajst-20789	91	18	consensus	consensus	NOUN
ajst-20789	91	19	kernel	kernel	NOUN
ajst-20789	91	20	within	within	ADP
ajst-20789	91	21	the	the	DET
ajst-20789	91	22	neighborhood	neighborhood	NOUN
ajst-20789	91	23	range	range	NOUN
ajst-20789	91	24	of	of	ADP
ajst-20789	91	25	the	the	DET
ajst-20789	91	26	pseudo	pseudo	NOUN
ajst-20789	91	27	kernel	kernel	NOUN
ajst-20789	91	28	.	.	PUNCT
ajst-20789	92	1	by	by	ADP
ajst-20789	92	2	considering	consider	VERB
ajst-20789	92	3	neighborhood	neighborhood	NOUN
ajst-20789	92	4	information	information	NOUN
ajst-20789	92	5	,	,	PUNCT
ajst-20789	92	6	the	the	DET
ajst-20789	92	7	algorithm	algorithm	NOUN
ajst-20789	92	8	can	can	AUX
ajst-20789	92	9	more	more	ADV
ajst-20789	92	10	accurately	accurately	ADV
ajst-20789	92	11	capture	capture	VERB
ajst-20789	92	12	the	the	DET
ajst-20789	92	13	local	local	ADJ
ajst-20789	92	14	structure	structure	NOUN
ajst-20789	92	15	of	of	ADP
ajst-20789	92	16	the	the	DET
ajst-20789	92	17	data	datum	NOUN
ajst-20789	92	18	,	,	PUNCT
ajst-20789	92	19	thereby	thereby	ADV
ajst-20789	92	20	improving	improve	VERB
ajst-20789	92	21	the	the	DET
ajst-20789	92	22	accuracy	accuracy	NOUN
ajst-20789	92	23	of	of	ADP
ajst-20789	92	24	clustering	clustering	NOUN
ajst-20789	92	25	.	.	PUNCT
ajst-20789	93	1	however	however	ADV
ajst-20789	93	2	,	,	PUNCT
ajst-20789	93	3	this	this	DET
ajst-20789	93	4	algorithm	algorithm	NOUN
ajst-20789	93	5	may	may	AUX
ajst-20789	93	6	overlook	overlook	VERB
ajst-20789	93	7	the	the	DET
ajst-20789	93	8	consideration	consideration	NOUN
ajst-20789	93	9	of	of	ADP
ajst-20789	93	10	the	the	DET
ajst-20789	93	11	global	global	ADJ
ajst-20789	93	12	structure	structure	NOUN
ajst-20789	93	13	of	of	ADP
ajst-20789	93	14	the	the	DET
ajst-20789	93	15	data	datum	NOUN
ajst-20789	93	16	,	,	PUNCT
ajst-20789	93	17	leading	lead	VERB
ajst-20789	93	18	to	to	ADP
ajst-20789	93	19	situations	situation	NOUN
ajst-20789	93	20	where	where	SCONJ
ajst-20789	93	21	the	the	DET
ajst-20789	93	22	advantages	advantage	NOUN
ajst-20789	93	23	of	of	ADP
ajst-20789	93	24	multi	multi	ADJ
ajst-20789	93	25	-	-	ADJ
ajst-20789	93	26	kernel	kernel	ADJ
ajst-20789	93	27	information	information	NOUN
ajst-20789	93	28	can	can	AUX
ajst-20789	93	29	not	not	PART
ajst-20789	93	30	be	be	AUX
ajst-20789	93	31	fully	fully	ADV
ajst-20789	93	32	utilized	utilize	VERB
ajst-20789	93	33	.	.	PUNCT
ajst-20789	94	1	this	this	DET
ajst-20789	94	2	drawback	drawback	NOUN
ajst-20789	94	3	can	can	AUX
ajst-20789	94	4	be	be	AUX
ajst-20789	94	5	addressed	address	VERB
ajst-20789	94	6	by	by	ADP
ajst-20789	94	7	a	a	DET
ajst-20789	94	8	multi	multi	ADJ
ajst-20789	94	9	-	-	ADJ
ajst-20789	94	10	kernel	kernel	ADJ
ajst-20789	94	11	graph	graph	NOUN
ajst-20789	94	12	clustering	cluster	VERB
ajst-20789	94	13	algorithm	algorithm	NOUN
ajst-20789	94	14	based	base	VERB
ajst-20789	94	15	on	on	ADP
ajst-20789	94	16	simultaneously	simultaneously	ADV
ajst-20789	94	17	maintaining	maintain	VERB
ajst-20789	94	18	global	global	ADJ
ajst-20789	94	19	and	and	CCONJ
ajst-20789	94	20	local	local	ADJ
ajst-20789	94	21	structures	structure	NOUN
ajst-20789	94	22	.	.	PUNCT
ajst-20789	95	1	this	this	DET
ajst-20789	95	2	algorithm	algorithm	NOUN
ajst-20789	95	3	considers	consider	VERB
ajst-20789	95	4	both	both	CCONJ
ajst-20789	95	5	the	the	DET
ajst-20789	95	6	global	global	ADJ
ajst-20789	95	7	and	and	CCONJ
ajst-20789	95	8	local	local	ADJ
ajst-20789	95	9	structural	structural	ADJ
ajst-20789	95	10	information	information	NOUN
ajst-20789	95	11	of	of	ADP
ajst-20789	95	12	the	the	DET
ajst-20789	95	13	data	datum	NOUN
ajst-20789	95	14	during	during	ADP
ajst-20789	95	15	the	the	DET
ajst-20789	95	16	clustering	clustering	ADJ
ajst-20789	95	17	process	process	NOUN
ajst-20789	95	18	,	,	PUNCT
ajst-20789	95	19	aiming	aim	VERB
ajst-20789	95	20	to	to	PART
ajst-20789	95	21	preserve	preserve	VERB
ajst-20789	95	22	the	the	DET
ajst-20789	95	23	structural	structural	ADJ
ajst-20789	95	24	information	information	NOUN
ajst-20789	95	25	of	of	ADP
ajst-20789	95	26	the	the	DET
ajst-20789	95	27	original	original	ADJ
ajst-20789	95	28	data	datum	NOUN
ajst-20789	95	29	in	in	ADP
ajst-20789	95	30	its	its	PRON
ajst-20789	95	31	original	original	ADJ
ajst-20789	95	32	space	space	NOUN
ajst-20789	95	33	.	.	PUNCT
ajst-20789	96	1	by	by	ADP
ajst-20789	96	2	simultaneously	simultaneously	ADV
ajst-20789	96	3	considering	consider	VERB
ajst-20789	96	4	both	both	CCONJ
ajst-20789	96	5	global	global	ADJ
ajst-20789	96	6	and	and	CCONJ
ajst-20789	96	7	local	local	ADJ
ajst-20789	96	8	structures	structure	NOUN
ajst-20789	96	9	,	,	PUNCT
ajst-20789	96	10	the	the	DET
ajst-20789	96	11	algorithm	algorithm	NOUN
ajst-20789	96	12	can	can	AUX
ajst-20789	96	13	more	more	ADV
ajst-20789	96	14	comprehensively	comprehensively	ADV
ajst-20789	96	15	reflect	reflect	VERB
ajst-20789	96	16	the	the	DET
ajst-20789	96	17	characteristics	characteristic	NOUN
ajst-20789	96	18	of	of	ADP
ajst-20789	96	19	the	the	DET
ajst-20789	96	20	data	datum	NOUN
ajst-20789	96	21	,	,	PUNCT
ajst-20789	96	22	thereby	thereby	ADV
ajst-20789	96	23	improving	improve	VERB
ajst-20789	96	24	the	the	DET
ajst-20789	96	25	stability	stability	NOUN
ajst-20789	96	26	and	and	CCONJ
ajst-20789	96	27	accuracy	accuracy	NOUN
ajst-20789	96	28	of	of	ADP
ajst-20789	96	29	clustering	clustering	NOUN
ajst-20789	96	30	.	.	PUNCT
ajst-20789	97	1	it	it	PRON
ajst-20789	97	2	may	may	AUX
ajst-20789	97	3	face	face	VERB
ajst-20789	97	4	the	the	DET
ajst-20789	97	5	problem	problem	NOUN
ajst-20789	97	6	of	of	ADP
ajst-20789	97	7	high	high	ADJ
ajst-20789	97	8	computational	computational	ADJ
ajst-20789	97	9	complexity	complexity	NOUN
ajst-20789	97	10	when	when	SCONJ
ajst-20789	97	11	dealing	deal	VERB
ajst-20789	97	12	with	with	ADP
ajst-20789	97	13	large	large	ADJ
ajst-20789	97	14	-	-	PUNCT
ajst-20789	97	15	scale	scale	NOUN
ajst-20789	97	16	86	86	NUM
ajst-20789	97	17	datasets	dataset	NOUN
ajst-20789	97	18	,	,	PUNCT
ajst-20789	97	19	requiring	require	VERB
ajst-20789	97	20	a	a	DET
ajst-20789	97	21	trade	trade	NOUN
ajst-20789	97	22	-	-	PUNCT
ajst-20789	97	23	off	off	NOUN
ajst-20789	97	24	between	between	ADP
ajst-20789	97	25	computational	computational	ADJ
ajst-20789	97	26	efficiency	efficiency	NOUN
ajst-20789	97	27	and	and	CCONJ
ajst-20789	97	28	clustering	clustering	NOUN
ajst-20789	97	29	effectiveness	effectiveness	NOUN
ajst-20789	97	30	.	.	PUNCT
ajst-20789	98	1	the	the	DET
ajst-20789	98	2	non	non	ADJ
ajst-20789	98	3	-	-	ADJ
ajst-20789	98	4	negative	negative	ADJ
ajst-20789	98	5	matrix	matrix	NOUN
ajst-20789	98	6	decomposition	decomposition	NOUN
ajst-20789	98	7	customized	customize	VERB
ajst-20789	98	8	multi	multi	ADJ
ajst-20789	98	9	-	-	ADJ
ajst-20789	98	10	kernel	kernel	ADJ
ajst-20789	98	11	graph	graph	NOUN
ajst-20789	98	12	tensor	tensor	NOUN
ajst-20789	98	13	clustering	clustering	ADJ
ajst-20789	98	14	algorithm	algorithm	NOUN
ajst-20789	98	15	utilizes	utilize	VERB
ajst-20789	98	16	the	the	DET
ajst-20789	98	17	non	non	ADJ
ajst-20789	98	18	-	-	ADJ
ajst-20789	98	19	negative	negative	ADJ
ajst-20789	98	20	matrix	matrix	NOUN
ajst-20789	98	21	decomposition	decomposition	NOUN
ajst-20789	98	22	method	method	NOUN
ajst-20789	98	23	to	to	PART
ajst-20789	98	24	decompose	decompose	VERB
ajst-20789	98	25	the	the	DET
ajst-20789	98	26	multi	multi	ADJ
ajst-20789	98	27	-	-	ADJ
ajst-20789	98	28	kernel	kernel	ADJ
ajst-20789	98	29	graph	graph	NOUN
ajst-20789	98	30	tensor	tensor	NOUN
ajst-20789	98	31	,	,	PUNCT
ajst-20789	98	32	thereby	thereby	ADV
ajst-20789	98	33	obtaining	obtain	VERB
ajst-20789	98	34	clustering	clustering	ADJ
ajst-20789	98	35	results	result	NOUN
ajst-20789	98	36	.	.	PUNCT
ajst-20789	99	1	non	non	ADJ
ajst-20789	99	2	-	-	ADJ
ajst-20789	99	3	negative	negative	ADJ
ajst-20789	99	4	matrix	matrix	NOUN
ajst-20789	99	5	decomposition	decomposition	NOUN
ajst-20789	99	6	has	have	VERB
ajst-20789	99	7	the	the	DET
ajst-20789	99	8	dual	dual	ADJ
ajst-20789	99	9	functions	function	NOUN
ajst-20789	99	10	of	of	ADP
ajst-20789	99	11	dimensionality	dimensionality	NOUN
ajst-20789	99	12	reduction	reduction	NOUN
ajst-20789	99	13	and	and	CCONJ
ajst-20789	99	14	clustering	clustering	NOUN
ajst-20789	99	15	,	,	PUNCT
ajst-20789	99	16	which	which	PRON
ajst-20789	99	17	can	can	AUX
ajst-20789	99	18	simultaneously	simultaneously	ADV
ajst-20789	99	19	achieve	achieve	VERB
ajst-20789	99	20	data	datum	NOUN
ajst-20789	99	21	dimensionality	dimensionality	NOUN
ajst-20789	99	22	reduction	reduction	NOUN
ajst-20789	99	23	and	and	CCONJ
ajst-20789	99	24	clustering	clustering	NOUN
ajst-20789	99	25	,	,	PUNCT
ajst-20789	99	26	improving	improve	VERB
ajst-20789	99	27	the	the	DET
ajst-20789	99	28	efficiency	efficiency	NOUN
ajst-20789	99	29	of	of	ADP
ajst-20789	99	30	the	the	DET
ajst-20789	99	31	algorithm	algorithm	NOUN
ajst-20789	99	32	.	.	PUNCT
ajst-20789	100	1	however	however	ADV
ajst-20789	100	2	,	,	PUNCT
ajst-20789	100	3	it	it	PRON
ajst-20789	100	4	may	may	AUX
ajst-20789	100	5	be	be	AUX
ajst-20789	100	6	necessary	necessary	ADJ
ajst-20789	100	7	to	to	PART
ajst-20789	100	8	adjust	adjust	VERB
ajst-20789	100	9	the	the	DET
ajst-20789	100	10	parameters	parameter	NOUN
ajst-20789	100	11	and	and	CCONJ
ajst-20789	100	12	strategies	strategy	NOUN
ajst-20789	100	13	of	of	ADP
ajst-20789	100	14	non	non	ADJ
ajst-20789	100	15	-	-	ADJ
ajst-20789	100	16	negative	negative	ADJ
ajst-20789	100	17	matrix	matrix	NOUN
ajst-20789	100	18	decomposition	decomposition	NOUN
ajst-20789	100	19	according	accord	VERB
ajst-20789	100	20	to	to	ADP
ajst-20789	100	21	different	different	ADJ
ajst-20789	100	22	datasets	dataset	NOUN
ajst-20789	100	23	and	and	CCONJ
ajst-20789	100	24	clustering	clustering	ADJ
ajst-20789	100	25	requirements	requirement	NOUN
ajst-20789	100	26	to	to	PART
ajst-20789	100	27	achieve	achieve	VERB
ajst-20789	100	28	the	the	DET
ajst-20789	100	29	best	good	ADJ
ajst-20789	100	30	clustering	clustering	ADJ
ajst-20789	100	31	results	result	NOUN
ajst-20789	100	32	.	.	PUNCT
ajst-20789	101	1	overall	overall	ADV
ajst-20789	101	2	,	,	PUNCT
ajst-20789	101	3	these	these	DET
ajst-20789	101	4	algorithms	algorithm	NOUN
ajst-20789	101	5	have	have	VERB
ajst-20789	101	6	their	their	PRON
ajst-20789	101	7	own	own	ADJ
ajst-20789	101	8	strengths	strength	NOUN
ajst-20789	101	9	in	in	ADP
ajst-20789	101	10	the	the	DET
ajst-20789	101	11	field	field	NOUN
ajst-20789	101	12	of	of	ADP
ajst-20789	101	13	multi	multi	ADJ
ajst-20789	101	14	-	-	ADJ
ajst-20789	101	15	kernel	kernel	ADJ
ajst-20789	101	16	graph	graph	NOUN
ajst-20789	101	17	clustering	cluster	VERB
ajst-20789	101	18	,	,	PUNCT
ajst-20789	101	19	suitable	suitable	ADJ
ajst-20789	101	20	for	for	ADP
ajst-20789	101	21	different	different	ADJ
ajst-20789	101	22	scenarios	scenario	NOUN
ajst-20789	101	23	and	and	CCONJ
ajst-20789	101	24	requirements	requirement	NOUN
ajst-20789	101	25	.	.	PUNCT
ajst-20789	102	1	in	in	ADP
ajst-20789	102	2	practical	practical	ADJ
ajst-20789	102	3	applications	application	NOUN
ajst-20789	102	4	,	,	PUNCT
ajst-20789	102	5	it	it	PRON
ajst-20789	102	6	is	be	AUX
ajst-20789	102	7	necessary	necessary	ADJ
ajst-20789	102	8	to	to	PART
ajst-20789	102	9	choose	choose	VERB
ajst-20789	102	10	the	the	DET
ajst-20789	102	11	appropriate	appropriate	ADJ
ajst-20789	102	12	algorithm	algorithm	NOUN
ajst-20789	102	13	based	base	VERB
ajst-20789	102	14	on	on	ADP
ajst-20789	102	15	the	the	DET
ajst-20789	102	16	specific	specific	ADJ
ajst-20789	102	17	dataset	dataset	NOUN
ajst-20789	102	18	,	,	PUNCT
ajst-20789	102	19	computational	computational	ADJ
ajst-20789	102	20	resources	resource	NOUN
ajst-20789	102	21	,	,	PUNCT
ajst-20789	102	22	and	and	CCONJ
ajst-20789	102	23	clustering	clustering	ADJ
ajst-20789	102	24	objectives	objective	NOUN
ajst-20789	102	25	.	.	PUNCT
ajst-20789	103	1	furthermore	furthermore	ADV
ajst-20789	103	2	,	,	PUNCT
ajst-20789	103	3	as	as	SCONJ
ajst-20789	103	4	technology	technology	NOUN
ajst-20789	103	5	continues	continue	VERB
ajst-20789	103	6	to	to	PART
ajst-20789	103	7	evolve	evolve	VERB
ajst-20789	103	8	,	,	PUNCT
ajst-20789	103	9	these	these	DET
ajst-20789	103	10	algorithms	algorithm	NOUN
ajst-20789	103	11	will	will	AUX
ajst-20789	103	12	continue	continue	VERB
ajst-20789	103	13	to	to	PART
ajst-20789	103	14	be	be	AUX
ajst-20789	103	15	optimized	optimize	VERB
ajst-20789	103	16	and	and	CCONJ
ajst-20789	103	17	improved	improve	VERB
ajst-20789	103	18	to	to	PART
ajst-20789	103	19	adapt	adapt	VERB
ajst-20789	103	20	to	to	ADP
ajst-20789	103	21	a	a	DET
ajst-20789	103	22	wider	wide	ADJ
ajst-20789	103	23	range	range	NOUN
ajst-20789	103	24	of	of	ADP
ajst-20789	103	25	application	application	NOUN
ajst-20789	103	26	scenarios	scenario	NOUN
ajst-20789	103	27	.	.	PUNCT
ajst-20789	104	1	acknowledgment	acknowledgment	NOUN
ajst-20789	104	2	this	this	DET
ajst-20789	104	3	work	work	NOUN
ajst-20789	104	4	was	be	AUX
ajst-20789	104	5	supported	support	VERB
ajst-20789	104	6	by	by	ADP
ajst-20789	104	7	the	the	DET
ajst-20789	104	8	undergraduate	undergraduate	NOUN
ajst-20789	104	9	research	research	NOUN
ajst-20789	104	10	innovation	innovation	NOUN
ajst-20789	104	11	project	project	NOUN
ajst-20789	104	12	of	of	ADP
ajst-20789	104	13	anhui	anhui	PROPN
ajst-20789	104	14	university	university	PROPN
ajst-20789	104	15	of	of	ADP
ajst-20789	104	16	finance	finance	NOUN
ajst-20789	104	17	and	and	CCONJ
ajst-20789	104	18	economics	economic	NOUN
ajst-20789	104	19	(	(	PUNCT
ajst-20789	104	20	grant	grant	VERB
ajst-20789	104	21	no	no	INTJ
ajst-20789	104	22	.	.	PUNCT
ajst-20789	105	1	xsky23156	xsky23156	PROPN
ajst-20789	105	2	)	)	PUNCT
ajst-20789	105	3	.	.	PUNCT
ajst-20789	106	1	the	the	DET
ajst-20789	106	2	authors	author	NOUN
ajst-20789	106	3	declare	declare	VERB
ajst-20789	106	4	that	that	SCONJ
ajst-20789	106	5	they	they	PRON
ajst-20789	106	6	have	have	VERB
ajst-20789	106	7	no	no	DET
ajst-20789	106	8	conflicts	conflict	NOUN
ajst-20789	106	9	of	of	ADP
ajst-20789	106	10	interest	interest	NOUN
ajst-20789	106	11	.	.	PUNCT
ajst-20789	107	1	references	reference	NOUN
ajst-20789	107	2	[	[	X
ajst-20789	107	3	1	1	X
ajst-20789	107	4	]	]	PUNCT
ajst-20789	107	5	zhenwen	zhenwen	NOUN
ajst-20789	107	6	ren	ren	PROPN
ajst-20789	107	7	.	.	PUNCT
ajst-20789	108	1	research	research	NOUN
ajst-20789	108	2	of	of	ADP
ajst-20789	108	3	multiple	multiple	ADJ
ajst-20789	108	4	kernel	kernel	NOUN
ajst-20789	108	5	graphclustering	graphclustering	NOUN
ajst-20789	108	6	.	.	PUNCT
ajst-20789	109	1	nanjing	nanjing	PROPN
ajst-20789	109	2	university	university	PROPN
ajst-20789	109	3	of	of	ADP
ajst-20789	109	4	science	science	NOUN
ajst-20789	109	5	and	and	CCONJ
ajst-20789	109	6	technology	technology	NOUN
ajst-20789	109	7	,	,	PUNCT
ajst-20789	109	8	2021	2021	NUM
ajst-20789	109	9	.	.	PUNCT
ajst-20789	110	1	[	[	X
ajst-20789	110	2	2	2	NUM
ajst-20789	110	3	]	]	X
ajst-20789	110	4	zhang	zhang	PROPN
ajst-20789	110	5	xiaoqian	xiaoqian	PROPN
ajst-20789	110	6	,	,	PUNCT
ajst-20789	110	7	wang	wang	PROPN
ajst-20789	110	8	xiao	xiao	PROPN
ajst-20789	110	9	.	.	PROPN
ajst-20789	110	10	image	image	NOUN
ajst-20789	110	11	segmentation	segmentation	NOUN
ajst-20789	110	12	algorithm	algorithm	NOUN
ajst-20789	110	13	based	base	VERB
ajst-20789	110	14	on	on	ADP
ajst-20789	110	15	weighted	weight	VERB
ajst-20789	110	16	multi	multi	ADJ
ajst-20789	110	17	-	-	ADJ
ajst-20789	110	18	kernel	kernel	ADJ
ajst-20789	110	19	subspace	subspace	NOUN
ajst-20789	110	20	clustering	clustering	NOUN
ajst-20789	110	21	.	.	PUNCT
ajst-20789	111	1	journal	journal	PROPN
ajst-20789	111	2	of	of	ADP
ajst-20789	111	3	beijing	beijing	PROPN
ajst-20789	111	4	university	university	PROPN
ajst-20789	111	5	of	of	ADP
ajst-20789	111	6	posts	post	NOUN
ajst-20789	111	7	and	and	CCONJ
ajst-20789	111	8	telecommunications	telecommunication	NOUN
ajst-20789	111	9	,	,	PUNCT
ajst-20789	111	10	2023	2023	NUM
ajst-20789	111	11	,	,	PUNCT
ajst-20789	111	12	46(03	46(03	NUM
ajst-20789	111	13	):	):	PUNCT
ajst-20789	111	14	78	78	NUM
ajst-20789	111	15	-	-	SYM
ajst-20789	111	16	83	83	NUM
ajst-20789	111	17	.	.	PUNCT
ajst-20789	112	1	[	[	X
ajst-20789	112	2	3	3	X
ajst-20789	112	3	]	]	X
ajst-20789	112	4	zhao	zhao	X
ajst-20789	112	5	lifeng	lifeng	PROPN
ajst-20789	112	6	,	,	PUNCT
ajst-20789	112	7	li	li	PROPN
ajst-20789	112	8	xin	xin	PROPN
ajst-20789	112	9	,	,	PUNCT
ajst-20789	112	10	wang	wang	PROPN
ajst-20789	112	11	dong	dong	PROPN
ajst-20789	112	12	.	.	PUNCT
ajst-20789	113	1	clustering	cluster	VERB
ajst-20789	113	2	algorithm	algorithm	NOUN
ajst-20789	113	3	based	base	VERB
ajst-20789	113	4	on	on	ADP
ajst-20789	113	5	multiple	multiple	ADJ
ajst-20789	113	6	kernel	kernel	PROPN
ajst-20789	113	7	svm	svm	PROPN
ajst-20789	113	8	.	.	PROPN
ajst-20789	114	1	periodical	periodical	PROPN
ajst-20789	114	2	of	of	ADP
ajst-20789	114	3	ocean	ocean	PROPN
ajst-20789	114	4	university	university	PROPN
ajst-20789	114	5	of	of	ADP
ajst-20789	114	6	china,2009	china,2009	PROPN
ajst-20789	114	7	,	,	PUNCT
ajst-20789	114	8	39(05):1047	39(05):1047	NUM
ajst-20789	114	9	-	-	SYM
ajst-20789	114	10	1050	1050	NUM
ajst-20789	114	11	[	[	X
ajst-20789	114	12	4	4	X
ajst-20789	114	13	]	]	PUNCT
ajst-20789	114	14	xia	xia	PROPN
ajst-20789	114	15	dongxue	dongxue	PROPN
ajst-20789	114	16	,	,	PUNCT
ajst-20789	114	17	yang	yang	PROPN
ajst-20789	114	18	yan	yan	PROPN
ajst-20789	114	19	,	,	PUNCT
ajst-20789	114	20	wang	wang	PROPN
ajst-20789	114	21	hao	hao	PROPN
ajst-20789	114	22	.	.	PUNCT
ajst-20789	115	1	late	late	ADJ
ajst-20789	115	2	fusion	fusion	NOUN
ajst-20789	115	3	multi	multi	ADJ
ajst-20789	115	4	-	-	ADJ
ajst-20789	115	5	view	view	ADJ
ajst-20789	115	6	clustering	clustering	NOUN
ajst-20789	115	7	based	base	VERB
ajst-20789	115	8	on	on	ADP
ajst-20789	115	9	local	local	ADJ
ajst-20789	115	10	multi	multi	ADJ
ajst-20789	115	11	-	-	ADJ
ajst-20789	115	12	kernel	kernel	ADJ
ajst-20789	115	13	learning	learning	PROPN
ajst-20789	115	14	.	.	PUNCT
ajst-20789	116	1	journal	journal	PROPN
ajst-20789	116	2	of	of	ADP
ajst-20789	116	3	computer	computer	NOUN
ajst-20789	116	4	research	research	NOUN
ajst-20789	116	5	and	and	CCONJ
ajst-20789	116	6	development	development	NOUN
ajst-20789	116	7	,	,	PUNCT
ajst-20789	116	8	2020	2020	NUM
ajst-20789	116	9	,	,	PUNCT
ajst-20789	116	10	57(08	57(08	NUM
ajst-20789	116	11	):	):	PUNCT
ajst-20789	116	12	16271638	16271638	NUM
ajst-20789	116	13	.	.	PUNCT
ajst-20789	117	1	[	[	X
ajst-20789	117	2	5	5	NUM
ajst-20789	117	3	]	]	PUNCT
ajst-20789	117	4	he	he	PRON
ajst-20789	117	5	xue	xue	PROPN
ajst-20789	117	6	-	-	PUNCT
ajst-20789	117	7	mei	mei	PROPN
ajst-20789	117	8	.	.	PUNCT
ajst-20789	118	1	a	a	DET
ajst-20789	118	2	survey	survey	NOUN
ajst-20789	118	3	of	of	ADP
ajst-20789	118	4	multi	multi	ADJ
ajst-20789	118	5	-	-	ADJ
ajst-20789	118	6	view	view	ADJ
ajst-20789	118	7	clustering	clustering	ADJ
ajst-20789	118	8	algorithms	algorithm	NOUN
ajst-20789	118	9	.	.	PUNCT
ajst-20789	119	1	software	software	NOUN
ajst-20789	119	2	guide	guide	NOUN
ajst-20789	119	3	,	,	PUNCT
ajst-20789	119	4	2019	2019	NUM
ajst-20789	119	5	,	,	PUNCT
ajst-20789	119	6	18(4	18(4	NUM
ajst-20789	119	7	):	):	PUNCT
ajst-20789	119	8	79	79	NUM
ajst-20789	119	9	-	-	SYM
ajst-20789	119	10	81	81	NUM
ajst-20789	119	11	,	,	PUNCT
ajst-20789	119	12	86	86	NUM
ajst-20789	119	13	.	.	PUNCT