id	sid	tid	token	lemma	pos
ajst-23620	1	1	academic	academic	ADJ
ajst-23620	1	2	journal	journal	NOUN
ajst-23620	1	3	of	of	ADP
ajst-23620	1	4	science	science	NOUN
ajst-23620	1	5	and	and	CCONJ
ajst-23620	1	6	technology	technology	NOUN
ajst-23620	1	7	issn	issn	NOUN
ajst-23620	1	8	:	:	PUNCT
ajst-23620	1	9	2771	2771	NUM
ajst-23620	1	10	-	-	SYM
ajst-23620	1	11	3032	3032	NUM
ajst-23620	1	12	|	|	NOUN
ajst-23620	1	13	vol	vol	NOUN
ajst-23620	1	14	.	.	PROPN
ajst-23620	2	1	11	11	NUM
ajst-23620	2	2	,	,	PUNCT
ajst-23620	2	3	no	no	INTJ
ajst-23620	2	4	.	.	NOUN
ajst-23620	2	5	3	3	NUM
ajst-23620	2	6	,	,	PUNCT
ajst-23620	2	7	2024	2024	NUM
ajst-23620	3	1	144	144	NUM
ajst-23620	3	2	clustering	clustering	ADJ
ajst-23620	3	3	analysis	analysis	NOUN
ajst-23620	3	4	of	of	ADP
ajst-23620	3	5	gas	gas	NOUN
ajst-23620	3	6	wells	well	NOUN
ajst-23620	3	7	in	in	ADP
ajst-23620	3	8	carbonate	carbonate	NOUN
ajst-23620	3	9	reservoirs	reservoir	NOUN
ajst-23620	3	10	yu	yu	PROPN
ajst-23620	3	11	fu	fu	PROPN
ajst-23620	3	12	,	,	PUNCT
ajst-23620	3	13	qinghui	qinghui	PROPN
ajst-23620	3	14	he	he	PRON
ajst-23620	3	15	petroleum	petroleum	NOUN
ajst-23620	3	16	engineering	engineering	NOUN
ajst-23620	3	17	school	school	NOUN
ajst-23620	3	18	,	,	PUNCT
ajst-23620	3	19	southwest	southwest	ADJ
ajst-23620	3	20	petroleum	petroleum	PROPN
ajst-23620	3	21	university	university	PROPN
ajst-23620	3	22	,	,	PUNCT
ajst-23620	3	23	chengdu	chengdu	PROPN
ajst-23620	3	24	,	,	PUNCT
ajst-23620	3	25	china	china	PROPN
ajst-23620	3	26	abstract	abstract	NOUN
ajst-23620	3	27	:	:	PUNCT
ajst-23620	3	28	capacity	capacity	NOUN
ajst-23620	3	29	clustering	cluster	VERB
ajst-23620	3	30	analysis	analysis	NOUN
ajst-23620	3	31	of	of	ADP
ajst-23620	3	32	carbonate	carbonate	NOUN
ajst-23620	3	33	gas	gas	NOUN
ajst-23620	3	34	reservoirs	reservoir	NOUN
ajst-23620	3	35	can	can	AUX
ajst-23620	3	36	identify	identify	VERB
ajst-23620	3	37	groups	group	NOUN
ajst-23620	3	38	of	of	ADP
ajst-23620	3	39	wells	well	NOUN
ajst-23620	3	40	with	with	ADP
ajst-23620	3	41	capacity	capacity	NOUN
ajst-23620	3	42	characteristics	characteristic	NOUN
ajst-23620	3	43	.	.	PUNCT
ajst-23620	4	1	differentiated	differentiated	ADJ
ajst-23620	4	2	production	production	NOUN
ajst-23620	4	3	management	management	NOUN
ajst-23620	4	4	strategies	strategy	NOUN
ajst-23620	4	5	can	can	AUX
ajst-23620	4	6	be	be	AUX
ajst-23620	4	7	developed	develop	VERB
ajst-23620	4	8	for	for	ADP
ajst-23620	4	9	different	different	ADJ
ajst-23620	4	10	groups	group	NOUN
ajst-23620	4	11	to	to	PART
ajst-23620	4	12	improve	improve	VERB
ajst-23620	4	13	overall	overall	ADJ
ajst-23620	4	14	production	production	NOUN
ajst-23620	4	15	efficiency	efficiency	NOUN
ajst-23620	4	16	.	.	PUNCT
ajst-23620	5	1	in	in	ADP
ajst-23620	5	2	order	order	NOUN
ajst-23620	5	3	to	to	PART
ajst-23620	5	4	overcome	overcome	VERB
ajst-23620	5	5	the	the	DET
ajst-23620	5	6	limitations	limitation	NOUN
ajst-23620	5	7	of	of	ADP
ajst-23620	5	8	traditional	traditional	ADJ
ajst-23620	5	9	capacity	capacity	NOUN
ajst-23620	5	10	categorization	categorization	NOUN
ajst-23620	5	11	methods	method	NOUN
ajst-23620	5	12	that	that	PRON
ajst-23620	5	13	rely	rely	VERB
ajst-23620	5	14	on	on	ADP
ajst-23620	5	15	human	human	ADJ
ajst-23620	5	16	adjustments	adjustment	NOUN
ajst-23620	5	17	with	with	ADP
ajst-23620	5	18	the	the	DET
ajst-23620	5	19	inability	inability	NOUN
ajst-23620	5	20	to	to	PART
ajst-23620	5	21	meet	meet	VERB
ajst-23620	5	22	field	field	NOUN
ajst-23620	5	23	demands	demand	NOUN
ajst-23620	5	24	in	in	ADP
ajst-23620	5	25	real	real	ADJ
ajst-23620	5	26	time	time	NOUN
ajst-23620	5	27	.	.	PUNCT
ajst-23620	6	1	this	this	DET
ajst-23620	6	2	study	study	NOUN
ajst-23620	6	3	is	be	AUX
ajst-23620	6	4	based	base	VERB
ajst-23620	6	5	on	on	ADP
ajst-23620	6	6	the	the	DET
ajst-23620	6	7	production	production	NOUN
ajst-23620	6	8	capacity	capacity	NOUN
ajst-23620	6	9	historical	historical	ADJ
ajst-23620	6	10	data	datum	NOUN
ajst-23620	6	11	and	and	CCONJ
ajst-23620	6	12	geological	geological	ADJ
ajst-23620	6	13	data	datum	NOUN
ajst-23620	6	14	of	of	ADP
ajst-23620	6	15	each	each	DET
ajst-23620	6	16	block	block	NOUN
ajst-23620	6	17	in	in	ADP
ajst-23620	6	18	the	the	DET
ajst-23620	6	19	target	target	NOUN
ajst-23620	6	20	gas	gas	NOUN
ajst-23620	6	21	reservoir	reservoir	NOUN
ajst-23620	6	22	.	.	PUNCT
ajst-23620	7	1	by	by	ADP
ajst-23620	7	2	comparing	compare	VERB
ajst-23620	7	3	multiple	multiple	ADJ
ajst-23620	7	4	capacity	capacity	NOUN
ajst-23620	7	5	clustering	cluster	VERB
ajst-23620	7	6	machine	machine	NOUN
ajst-23620	7	7	learning	learning	NOUN
ajst-23620	7	8	methods	method	NOUN
ajst-23620	7	9	,	,	PUNCT
ajst-23620	7	10	a	a	DET
ajst-23620	7	11	machine	machine	NOUN
ajst-23620	7	12	learning	learn	VERB
ajst-23620	7	13	model	model	NOUN
ajst-23620	7	14	for	for	ADP
ajst-23620	7	15	carbonate	carbonate	NOUN
ajst-23620	7	16	rock	rock	NOUN
ajst-23620	7	17	capacity	capacity	NOUN
ajst-23620	7	18	clustering	cluster	VERB
ajst-23620	7	19	analysis	analysis	NOUN
ajst-23620	7	20	based	base	VERB
ajst-23620	7	21	on	on	ADP
ajst-23620	7	22	capacity	capacity	NOUN
ajst-23620	7	23	test	test	NOUN
ajst-23620	7	24	well	well	ADJ
ajst-23620	7	25	data	datum	NOUN
ajst-23620	7	26	was	be	AUX
ajst-23620	7	27	established	establish	VERB
ajst-23620	7	28	,	,	PUNCT
ajst-23620	7	29	with	with	ADP
ajst-23620	7	30	a	a	DET
ajst-23620	7	31	correlation	correlation	NOUN
ajst-23620	7	32	coefficient	coefficient	NOUN
ajst-23620	7	33	of	of	ADP
ajst-23620	7	34	more	more	ADJ
ajst-23620	7	35	than	than	ADP
ajst-23620	7	36	0.9	0.9	NUM
ajst-23620	7	37	.	.	PUNCT
ajst-23620	8	1	the	the	DET
ajst-23620	8	2	results	result	NOUN
ajst-23620	8	3	of	of	ADP
ajst-23620	8	4	this	this	DET
ajst-23620	8	5	study	study	NOUN
ajst-23620	8	6	show	show	VERB
ajst-23620	8	7	that	that	SCONJ
ajst-23620	8	8	the	the	DET
ajst-23620	8	9	predicted	predict	VERB
ajst-23620	8	10	capacity	capacity	NOUN
ajst-23620	8	11	classes	class	NOUN
ajst-23620	8	12	can	can	AUX
ajst-23620	8	13	truly	truly	ADV
ajst-23620	8	14	reflect	reflect	VERB
ajst-23620	8	15	the	the	DET
ajst-23620	8	16	distribution	distribution	NOUN
ajst-23620	8	17	of	of	ADP
ajst-23620	8	18	gas	gas	NOUN
ajst-23620	8	19	reservoir	reservoir	NOUN
ajst-23620	8	20	capacity	capacity	NOUN
ajst-23620	8	21	.	.	PUNCT
ajst-23620	9	1	this	this	DET
ajst-23620	9	2	study	study	NOUN
ajst-23620	9	3	identifies	identify	VERB
ajst-23620	9	4	potential	potential	ADJ
ajst-23620	9	5	high	high	ADJ
ajst-23620	9	6	-	-	PUNCT
ajst-23620	9	7	risk	risk	NOUN
ajst-23620	9	8	gas	gas	NOUN
ajst-23620	9	9	wells	well	NOUN
ajst-23620	9	10	for	for	ADP
ajst-23620	9	11	the	the	DET
ajst-23620	9	12	gas	gas	NOUN
ajst-23620	9	13	reservoir	reservoir	NOUN
ajst-23620	9	14	,	,	PUNCT
ajst-23620	9	15	so	so	SCONJ
ajst-23620	9	16	that	that	SCONJ
ajst-23620	9	17	measures	measure	NOUN
ajst-23620	9	18	can	can	AUX
ajst-23620	9	19	be	be	AUX
ajst-23620	9	20	taken	take	VERB
ajst-23620	9	21	in	in	ADP
ajst-23620	9	22	advance	advance	NOUN
ajst-23620	9	23	to	to	PART
ajst-23620	9	24	reduce	reduce	VERB
ajst-23620	9	25	the	the	DET
ajst-23620	9	26	risk	risk	NOUN
ajst-23620	9	27	and	and	CCONJ
ajst-23620	9	28	improve	improve	VERB
ajst-23620	9	29	the	the	DET
ajst-23620	9	30	level	level	NOUN
ajst-23620	9	31	of	of	ADP
ajst-23620	9	32	safe	safe	ADJ
ajst-23620	9	33	production	production	NOUN
ajst-23620	9	34	.	.	PUNCT
ajst-23620	10	1	keywords	keyword	NOUN
ajst-23620	10	2	:	:	PUNCT
ajst-23620	10	3	capacity	capacity	NOUN
ajst-23620	10	4	clustering	cluster	VERB
ajst-23620	10	5	analysis	analysis	NOUN
ajst-23620	10	6	;	;	PUNCT
ajst-23620	10	7	carbonate	carbonate	NOUN
ajst-23620	10	8	gas	gas	NOUN
ajst-23620	10	9	reservoirs	reservoir	NOUN
ajst-23620	10	10	;	;	PUNCT
ajst-23620	10	11	data	datum	NOUN
ajst-23620	10	12	processing	processing	NOUN
ajst-23620	10	13	;	;	PUNCT
ajst-23620	10	14	prediction	prediction	NOUN
ajst-23620	10	15	model	model	NOUN
ajst-23620	10	16	.	.	PUNCT
ajst-23620	11	1	1	1	X
ajst-23620	11	2	.	.	X
ajst-23620	11	3	introduction	introduction	NOUN
ajst-23620	11	4	with	with	ADP
ajst-23620	11	5	the	the	DET
ajst-23620	11	6	continuous	continuous	ADJ
ajst-23620	11	7	growth	growth	NOUN
ajst-23620	11	8	of	of	ADP
ajst-23620	11	9	energy	energy	NOUN
ajst-23620	11	10	demand	demand	NOUN
ajst-23620	11	11	and	and	CCONJ
ajst-23620	11	12	the	the	DET
ajst-23620	11	13	increasing	increase	VERB
ajst-23620	11	14	depletion	depletion	NOUN
ajst-23620	11	15	of	of	ADP
ajst-23620	11	16	traditional	traditional	ADJ
ajst-23620	11	17	energy	energy	NOUN
ajst-23620	11	18	resources	resource	NOUN
ajst-23620	11	19	,	,	PUNCT
ajst-23620	11	20	the	the	DET
ajst-23620	11	21	development	development	NOUN
ajst-23620	11	22	and	and	CCONJ
ajst-23620	11	23	utilization	utilization	NOUN
ajst-23620	11	24	of	of	ADP
ajst-23620	11	25	unconventional	unconventional	ADJ
ajst-23620	11	26	energy	energy	NOUN
ajst-23620	11	27	resources	resource	NOUN
ajst-23620	11	28	have	have	AUX
ajst-23620	11	29	attracted	attract	VERB
ajst-23620	11	30	more	more	ADJ
ajst-23620	11	31	and	and	CCONJ
ajst-23620	11	32	more	more	ADJ
ajst-23620	11	33	attention	attention	NOUN
ajst-23620	11	34	.	.	PUNCT
ajst-23620	12	1	among	among	ADP
ajst-23620	12	2	them	they	PRON
ajst-23620	12	3	,	,	PUNCT
ajst-23620	12	4	carbonate	carbonate	NOUN
ajst-23620	12	5	gas	gas	NOUN
ajst-23620	12	6	reservoirs	reservoir	NOUN
ajst-23620	12	7	,	,	PUNCT
ajst-23620	12	8	as	as	ADP
ajst-23620	12	9	an	an	DET
ajst-23620	12	10	important	important	ADJ
ajst-23620	12	11	unconventional	unconventional	ADJ
ajst-23620	12	12	natural	natural	ADJ
ajst-23620	12	13	gas	gas	NOUN
ajst-23620	12	14	resource	resource	NOUN
ajst-23620	12	15	with	with	ADP
ajst-23620	12	16	huge	huge	ADJ
ajst-23620	12	17	reserves	reserve	NOUN
ajst-23620	12	18	and	and	CCONJ
ajst-23620	12	19	wide	wide	ADJ
ajst-23620	12	20	distribution	distribution	NOUN
ajst-23620	12	21	,	,	PUNCT
ajst-23620	12	22	have	have	AUX
ajst-23620	12	23	received	receive	VERB
ajst-23620	12	24	extensive	extensive	ADJ
ajst-23620	12	25	attention	attention	NOUN
ajst-23620	12	26	and	and	CCONJ
ajst-23620	12	27	research	research	NOUN
ajst-23620	12	28	from	from	ADP
ajst-23620	12	29	the	the	DET
ajst-23620	12	30	global	global	ADJ
ajst-23620	12	31	energy	energy	NOUN
ajst-23620	12	32	industry	industry	NOUN
ajst-23620	12	33	.	.	PUNCT
ajst-23620	13	1	however	however	ADV
ajst-23620	13	2	,	,	PUNCT
ajst-23620	13	3	the	the	DET
ajst-23620	13	4	development	development	NOUN
ajst-23620	13	5	and	and	CCONJ
ajst-23620	13	6	evaluation	evaluation	NOUN
ajst-23620	13	7	of	of	ADP
ajst-23620	13	8	carbonate	carbonate	NOUN
ajst-23620	13	9	gas	gas	NOUN
ajst-23620	13	10	reservoirs	reservoir	NOUN
ajst-23620	13	11	face	face	VERB
ajst-23620	13	12	a	a	DET
ajst-23620	13	13	series	series	NOUN
ajst-23620	13	14	of	of	ADP
ajst-23620	13	15	challenges	challenge	NOUN
ajst-23620	13	16	due	due	ADP
ajst-23620	13	17	to	to	ADP
ajst-23620	13	18	their	their	PRON
ajst-23620	13	19	complex	complex	ADJ
ajst-23620	13	20	reservoir	reservoir	NOUN
ajst-23620	13	21	characteristics	characteristic	NOUN
ajst-23620	13	22	and	and	CCONJ
ajst-23620	13	23	difficult	difficult	ADJ
ajst-23620	13	24	development	development	NOUN
ajst-23620	13	25	.	.	PUNCT
ajst-23620	14	1	in	in	ADP
ajst-23620	14	2	the	the	DET
ajst-23620	14	3	development	development	NOUN
ajst-23620	14	4	process	process	NOUN
ajst-23620	14	5	of	of	ADP
ajst-23620	14	6	carbonate	carbonate	NOUN
ajst-23620	14	7	reservoirs	reservoir	NOUN
ajst-23620	14	8	,	,	PUNCT
ajst-23620	14	9	capacity	capacity	NOUN
ajst-23620	14	10	clustering	cluster	VERB
ajst-23620	14	11	analysis	analysis	NOUN
ajst-23620	14	12	,	,	PUNCT
ajst-23620	14	13	as	as	ADP
ajst-23620	14	14	an	an	DET
ajst-23620	14	15	important	important	ADJ
ajst-23620	14	16	evaluation	evaluation	NOUN
ajst-23620	14	17	technique	technique	NOUN
ajst-23620	14	18	,	,	PUNCT
ajst-23620	14	19	plays	play	VERB
ajst-23620	14	20	a	a	DET
ajst-23620	14	21	crucial	crucial	ADJ
ajst-23620	14	22	role	role	NOUN
ajst-23620	14	23	in	in	ADP
ajst-23620	14	24	the	the	DET
ajst-23620	14	25	capacity	capacity	NOUN
ajst-23620	14	26	evaluation	evaluation	NOUN
ajst-23620	14	27	of	of	ADP
ajst-23620	14	28	gas	gas	NOUN
ajst-23620	14	29	wells	well	NOUN
ajst-23620	14	30	,	,	PUNCT
ajst-23620	14	31	the	the	DET
ajst-23620	14	32	assessment	assessment	NOUN
ajst-23620	14	33	of	of	ADP
ajst-23620	14	34	gas	gas	NOUN
ajst-23620	14	35	reservoir	reservoir	NOUN
ajst-23620	14	36	potential	potential	NOUN
ajst-23620	14	37	and	and	CCONJ
ajst-23620	14	38	the	the	DET
ajst-23620	14	39	optimization	optimization	NOUN
ajst-23620	14	40	of	of	ADP
ajst-23620	14	41	production	production	NOUN
ajst-23620	14	42	strategies	strategy	NOUN
ajst-23620	14	43	.	.	PUNCT
ajst-23620	15	1	currently	currently	ADV
ajst-23620	15	2	,	,	PUNCT
ajst-23620	15	3	traditional	traditional	ADJ
ajst-23620	15	4	capacity	capacity	NOUN
ajst-23620	15	5	analysis	analysis	NOUN
ajst-23620	15	6	methods	method	NOUN
ajst-23620	15	7	mainly	mainly	ADV
ajst-23620	15	8	include	include	VERB
ajst-23620	15	9	single	single	ADJ
ajst-23620	15	10	well	well	NOUN
ajst-23620	15	11	capacity	capacity	NOUN
ajst-23620	15	12	evaluation	evaluation	NOUN
ajst-23620	15	13	and	and	CCONJ
ajst-23620	15	14	overall	overall	ADJ
ajst-23620	15	15	reservoir	reservoir	NOUN
ajst-23620	15	16	analysis	analysis	NOUN
ajst-23620	15	17	,	,	PUNCT
ajst-23620	15	18	etc	etc	X
ajst-23620	15	19	.	.	X
ajst-23620	15	20	although	although	SCONJ
ajst-23620	15	21	they	they	PRON
ajst-23620	15	22	are	be	AUX
ajst-23620	15	23	widely	widely	ADV
ajst-23620	15	24	used	use	VERB
ajst-23620	15	25	in	in	ADP
ajst-23620	15	26	the	the	DET
ajst-23620	15	27	field	field	NOUN
ajst-23620	15	28	of	of	ADP
ajst-23620	15	29	reservoir	reservoir	NOUN
ajst-23620	15	30	capacity	capacity	NOUN
ajst-23620	15	31	evaluation	evaluation	NOUN
ajst-23620	15	32	to	to	ADP
ajst-23620	15	33	a	a	DET
ajst-23620	15	34	certain	certain	ADJ
ajst-23620	15	35	extent	extent	NOUN
ajst-23620	15	36	,	,	PUNCT
ajst-23620	15	37	they	they	PRON
ajst-23620	15	38	usually	usually	ADV
ajst-23620	15	39	lack	lack	VERB
ajst-23620	15	40	the	the	DET
ajst-23620	15	41	detailed	detailed	ADJ
ajst-23620	15	42	analysis	analysis	NOUN
ajst-23620	15	43	of	of	ADP
ajst-23620	15	44	the	the	DET
ajst-23620	15	45	heterogeneity	heterogeneity	NOUN
ajst-23620	15	46	of	of	ADP
ajst-23620	15	47	gas	gas	NOUN
ajst-23620	15	48	wells	well	NOUN
ajst-23620	15	49	,	,	PUNCT
ajst-23620	15	50	which	which	PRON
ajst-23620	15	51	makes	make	VERB
ajst-23620	15	52	it	it	PRON
ajst-23620	15	53	difficult	difficult	ADJ
ajst-23620	15	54	to	to	PART
ajst-23620	15	55	formulate	formulate	VERB
ajst-23620	15	56	accurate	accurate	ADJ
ajst-23620	15	57	development	development	NOUN
ajst-23620	15	58	strategies	strategy	NOUN
ajst-23620	15	59	for	for	ADP
ajst-23620	15	60	different	different	ADJ
ajst-23620	15	61	types	type	NOUN
ajst-23620	15	62	of	of	ADP
ajst-23620	15	63	gas	gas	NOUN
ajst-23620	15	64	wells	well	NOUN
ajst-23620	15	65	.	.	PUNCT
ajst-23620	16	1	therefore	therefore	ADV
ajst-23620	16	2	,	,	PUNCT
ajst-23620	16	3	to	to	PART
ajst-23620	16	4	address	address	VERB
ajst-23620	16	5	the	the	DET
ajst-23620	16	6	limitations	limitation	NOUN
ajst-23620	16	7	of	of	ADP
ajst-23620	16	8	traditional	traditional	ADJ
ajst-23620	16	9	capacity	capacity	NOUN
ajst-23620	16	10	analysis	analysis	NOUN
ajst-23620	16	11	methods	method	NOUN
ajst-23620	16	12	,	,	PUNCT
ajst-23620	16	13	this	this	DET
ajst-23620	16	14	study	study	NOUN
ajst-23620	16	15	focuses	focus	VERB
ajst-23620	16	16	on	on	ADP
ajst-23620	16	17	the	the	DET
ajst-23620	16	18	carbonate	carbonate	NOUN
ajst-23620	16	19	rocks	rock	NOUN
ajst-23620	16	20	in	in	ADP
ajst-23620	16	21	block	block	NOUN
ajst-23620	16	22	x	x	PUNCT
ajst-23620	16	23	of	of	ADP
ajst-23620	16	24	the	the	DET
ajst-23620	16	25	sichuan	sichuan	PROPN
ajst-23620	16	26	basin	basin	PROPN
ajst-23620	16	27	,	,	PUNCT
ajst-23620	16	28	and	and	CCONJ
ajst-23620	16	29	establishes	establish	VERB
ajst-23620	16	30	a	a	DET
ajst-23620	16	31	capacity	capacity	NOUN
ajst-23620	16	32	clustering	cluster	VERB
ajst-23620	16	33	analysis	analysis	NOUN
ajst-23620	16	34	model	model	NOUN
ajst-23620	16	35	for	for	ADP
ajst-23620	16	36	carbonate	carbonate	NOUN
ajst-23620	16	37	reservoirs	reservoir	NOUN
ajst-23620	16	38	based	base	VERB
ajst-23620	16	39	on	on	ADP
ajst-23620	16	40	capacity	capacity	NOUN
ajst-23620	16	41	data	datum	NOUN
ajst-23620	16	42	by	by	ADP
ajst-23620	16	43	combining	combine	VERB
ajst-23620	16	44	the	the	DET
ajst-23620	16	45	capacity	capacity	NOUN
ajst-23620	16	46	test	test	NOUN
ajst-23620	16	47	data	datum	NOUN
ajst-23620	16	48	of	of	ADP
ajst-23620	16	49	multiple	multiple	ADJ
ajst-23620	16	50	gas	gas	NOUN
ajst-23620	16	51	wells	well	NOUN
ajst-23620	16	52	,	,	PUNCT
ajst-23620	16	53	historical	historical	ADJ
ajst-23620	16	54	data	datum	NOUN
ajst-23620	16	55	,	,	PUNCT
ajst-23620	16	56	and	and	CCONJ
ajst-23620	16	57	geologic	geologic	ADJ
ajst-23620	16	58	data	datum	NOUN
ajst-23620	16	59	,	,	PUNCT
ajst-23620	16	60	and	and	CCONJ
ajst-23620	16	61	applying	apply	VERB
ajst-23620	16	62	the	the	DET
ajst-23620	16	63	cluster	cluster	NOUN
ajst-23620	16	64	analysis	analysis	NOUN
ajst-23620	16	65	method	method	NOUN
ajst-23620	16	66	for	for	ADP
ajst-23620	16	67	data	data	NOUN
ajst-23620	16	68	processing	processing	NOUN
ajst-23620	16	69	.	.	PUNCT
ajst-23620	17	1	the	the	DET
ajst-23620	17	2	establishment	establishment	NOUN
ajst-23620	17	3	of	of	ADP
ajst-23620	17	4	this	this	DET
ajst-23620	17	5	cluster	cluster	NOUN
ajst-23620	17	6	analysis	analysis	NOUN
ajst-23620	17	7	model	model	NOUN
ajst-23620	17	8	provides	provide	VERB
ajst-23620	17	9	a	a	DET
ajst-23620	17	10	reliable	reliable	ADJ
ajst-23620	17	11	support	support	NOUN
ajst-23620	17	12	for	for	ADP
ajst-23620	17	13	the	the	DET
ajst-23620	17	14	evaluation	evaluation	NOUN
ajst-23620	17	15	of	of	ADP
ajst-23620	17	16	gas	gas	NOUN
ajst-23620	17	17	well	well	NOUN
ajst-23620	17	18	production	production	NOUN
ajst-23620	17	19	capacity	capacity	NOUN
ajst-23620	17	20	,	,	PUNCT
ajst-23620	17	21	effectively	effectively	ADV
ajst-23620	17	22	evaluates	evaluate	VERB
ajst-23620	17	23	the	the	DET
ajst-23620	17	24	potential	potential	NOUN
ajst-23620	17	25	of	of	ADP
ajst-23620	17	26	the	the	DET
ajst-23620	17	27	gas	gas	NOUN
ajst-23620	17	28	reservoir	reservoir	NOUN
ajst-23620	17	29	,	,	PUNCT
ajst-23620	17	30	and	and	CCONJ
ajst-23620	17	31	provides	provide	VERB
ajst-23620	17	32	a	a	DET
ajst-23620	17	33	scientific	scientific	ADJ
ajst-23620	17	34	basis	basis	NOUN
ajst-23620	17	35	for	for	ADP
ajst-23620	17	36	the	the	DET
ajst-23620	17	37	formulation	formulation	NOUN
ajst-23620	17	38	of	of	ADP
ajst-23620	17	39	corresponding	correspond	VERB
ajst-23620	17	40	production	production	NOUN
ajst-23620	17	41	management	management	NOUN
ajst-23620	17	42	measures	measure	NOUN
ajst-23620	17	43	for	for	ADP
ajst-23620	17	44	the	the	DET
ajst-23620	17	45	gas	gas	NOUN
ajst-23620	17	46	reservoir	reservoir	NOUN
ajst-23620	17	47	.	.	PUNCT
ajst-23620	18	1	the	the	DET
ajst-23620	18	2	results	result	NOUN
ajst-23620	18	3	of	of	ADP
ajst-23620	18	4	this	this	DET
ajst-23620	18	5	study	study	NOUN
ajst-23620	18	6	will	will	AUX
ajst-23620	18	7	be	be	AUX
ajst-23620	18	8	able	able	ADJ
ajst-23620	18	9	to	to	PART
ajst-23620	18	10	more	more	ADV
ajst-23620	18	11	accurately	accurately	ADV
ajst-23620	18	12	analyze	analyze	VERB
ajst-23620	18	13	the	the	DET
ajst-23620	18	14	capacity	capacity	NOUN
ajst-23620	18	15	clustering	clustering	NOUN
ajst-23620	18	16	of	of	ADP
ajst-23620	18	17	gas	gas	NOUN
ajst-23620	18	18	reservoirs	reservoir	NOUN
ajst-23620	18	19	,	,	PUNCT
ajst-23620	18	20	provide	provide	VERB
ajst-23620	18	21	more	more	ADV
ajst-23620	18	22	reliable	reliable	ADJ
ajst-23620	18	23	technical	technical	ADJ
ajst-23620	18	24	support	support	NOUN
ajst-23620	18	25	for	for	ADP
ajst-23620	18	26	the	the	DET
ajst-23620	18	27	development	development	NOUN
ajst-23620	18	28	and	and	CCONJ
ajst-23620	18	29	management	management	NOUN
ajst-23620	18	30	of	of	ADP
ajst-23620	18	31	carbonate	carbonate	NOUN
ajst-23620	18	32	reservoirs	reservoir	NOUN
ajst-23620	18	33	,	,	PUNCT
ajst-23620	18	34	and	and	CCONJ
ajst-23620	18	35	promote	promote	VERB
ajst-23620	18	36	the	the	DET
ajst-23620	18	37	scientific	scientific	ADJ
ajst-23620	18	38	,	,	PUNCT
ajst-23620	18	39	efficient	efficient	ADJ
ajst-23620	18	40	and	and	CCONJ
ajst-23620	18	41	sustainable	sustainable	ADJ
ajst-23620	18	42	development	development	NOUN
ajst-23620	18	43	of	of	ADP
ajst-23620	18	44	gas	gas	NOUN
ajst-23620	18	45	reservoir	reservoir	NOUN
ajst-23620	18	46	development	development	NOUN
ajst-23620	18	47	.	.	PUNCT
ajst-23620	19	1	2	2	X
ajst-23620	19	2	.	.	X
ajst-23620	19	3	optimization	optimization	NOUN
ajst-23620	19	4	of	of	ADP
ajst-23620	19	5	capacity	capacity	NOUN
ajst-23620	19	6	clustering	cluster	VERB
ajst-23620	19	7	methods	method	NOUN
ajst-23620	19	8	figure	figure	VERB
ajst-23620	19	9	1	1	NUM
ajst-23620	19	10	.	.	PUNCT
ajst-23620	20	1	an	an	DET
ajst-23620	20	2	example	example	NOUN
ajst-23620	20	3	of	of	ADP
ajst-23620	20	4	clustering	cluster	VERB
ajst-23620	20	5	by	by	ADP
ajst-23620	20	6	distance	distance	NOUN
ajst-23620	20	7	between	between	ADP
ajst-23620	20	8	data	datum	NOUN
ajst-23620	20	9	objects	object	NOUN
ajst-23620	20	10	clustering	cluster	VERB
ajst-23620	20	11	:	:	PUNCT
ajst-23620	20	12	cluster	cluster	NOUN
ajst-23620	20	13	analysis	analysis	NOUN
ajst-23620	20	14	refers	refer	VERB
ajst-23620	20	15	to	to	ADP
ajst-23620	20	16	the	the	DET
ajst-23620	20	17	analytical	analytical	ADJ
ajst-23620	20	18	process	process	NOUN
ajst-23620	20	19	of	of	ADP
ajst-23620	20	20	grouping	group	VERB
ajst-23620	20	21	a	a	DET
ajst-23620	20	22	collection	collection	NOUN
ajst-23620	20	23	of	of	ADP
ajst-23620	20	24	data	datum	NOUN
ajst-23620	20	25	objects	object	NOUN
ajst-23620	20	26	into	into	ADP
ajst-23620	20	27	multiple	multiple	ADJ
ajst-23620	20	28	classes	class	NOUN
ajst-23620	20	29	composed	compose	VERB
ajst-23620	20	30	of	of	ADP
ajst-23620	20	31	similar	similar	ADJ
ajst-23620	20	32	objects	object	NOUN
ajst-23620	20	33	.	.	PUNCT
ajst-23620	21	1	according	accord	VERB
ajst-23620	21	2	to	to	ADP
ajst-23620	21	3	a	a	DET
ajst-23620	21	4	particular	particular	ADJ
ajst-23620	21	5	criterion	criterion	NOUN
ajst-23620	21	6	(	(	PUNCT
ajst-23620	21	7	such	such	ADJ
ajst-23620	21	8	as	as	ADP
ajst-23620	21	9	distance	distance	NOUN
ajst-23620	21	10	)	)	PUNCT
ajst-23620	21	11	to	to	ADP
ajst-23620	21	12	a	a	DET
ajst-23620	21	13	data	data	NOUN
ajst-23620	21	14	set	set	VERB
ajst-23620	21	15	divided	divide	VERB
ajst-23620	21	16	into	into	ADP
ajst-23620	21	17	different	different	ADJ
ajst-23620	21	18	classes	class	NOUN
ajst-23620	21	19	or	or	CCONJ
ajst-23620	21	20	clusters	cluster	NOUN
ajst-23620	21	21	,	,	PUNCT
ajst-23620	21	22	so	so	SCONJ
ajst-23620	21	23	that	that	SCONJ
ajst-23620	21	24	the	the	DET
ajst-23620	21	25	similarity	similarity	NOUN
ajst-23620	21	26	of	of	ADP
ajst-23620	21	27	data	datum	NOUN
ajst-23620	21	28	objects	object	NOUN
ajst-23620	21	29	within	within	ADP
ajst-23620	21	30	the	the	DET
ajst-23620	21	31	same	same	ADJ
ajst-23620	21	32	cluster	cluster	NOUN
ajst-23620	21	33	as	as	ADV
ajst-23620	21	34	large	large	ADJ
ajst-23620	21	35	as	as	ADP
ajst-23620	21	36	possible	possible	ADJ
ajst-23620	21	37	,	,	PUNCT
ajst-23620	21	38	at	at	ADP
ajst-23620	21	39	the	the	DET
ajst-23620	21	40	same	same	ADJ
ajst-23620	21	41	time	time	NOUN
ajst-23620	21	42	not	not	PART
ajst-23620	21	43	in	in	ADP
ajst-23620	21	44	the	the	DET
ajst-23620	21	45	same	same	ADJ
ajst-23620	21	46	cluster	cluster	NOUN
ajst-23620	21	47	of	of	ADP
ajst-23620	21	48	data	datum	NOUN
ajst-23620	21	49	objects	object	NOUN
ajst-23620	21	50	as	as	ADV
ajst-23620	21	51	large	large	ADJ
ajst-23620	21	52	as	as	ADP
ajst-23620	21	53	possible	possible	ADJ
ajst-23620	21	54	differences	difference	NOUN
ajst-23620	21	55	.	.	PUNCT
ajst-23620	22	1	after	after	ADP
ajst-23620	22	2	clustering	cluster	VERB
ajst-23620	22	3	the	the	DET
ajst-23620	22	4	data	datum	NOUN
ajst-23620	22	5	of	of	ADP
ajst-23620	22	6	the	the	DET
ajst-23620	22	7	same	same	ADJ
ajst-23620	22	8	class	class	NOUN
ajst-23620	22	9	are	be	AUX
ajst-23620	22	10	aggregated	aggregate	VERB
ajst-23620	22	11	together	together	ADV
ajst-23620	22	12	as	as	ADV
ajst-23620	22	13	much	much	ADV
ajst-23620	22	14	as	as	ADP
ajst-23620	22	15	possible	possible	ADJ
ajst-23620	22	16	,	,	PUNCT
ajst-23620	22	17	and	and	CCONJ
ajst-23620	22	18	the	the	DET
ajst-23620	22	19	data	datum	NOUN
ajst-23620	22	20	of	of	ADP
ajst-23620	22	21	different	different	ADJ
ajst-23620	22	22	classes	class	NOUN
ajst-23620	22	23	are	be	AUX
ajst-23620	22	24	separated	separate	VERB
ajst-23620	22	25	as	as	ADV
ajst-23620	22	26	much	much	ADV
ajst-23620	22	27	as	as	ADP
ajst-23620	22	28	possible	possible	ADJ
ajst-23620	22	29	,	,	PUNCT
ajst-23620	22	30	which	which	PRON
ajst-23620	22	31	simply	simply	ADV
ajst-23620	22	32	means	mean	VERB
ajst-23620	22	33	that	that	SCONJ
ajst-23620	22	34	similar	similar	ADJ
ajst-23620	22	35	data	datum	NOUN
ajst-23620	22	36	are	be	AUX
ajst-23620	22	37	divided	divide	VERB
ajst-23620	22	38	together	together	ADV
ajst-23620	22	39	,	,	PUNCT
ajst-23620	22	40	and	and	CCONJ
ajst-23620	22	41	the	the	DET
ajst-23620	22	42	specific	specific	ADJ
ajst-23620	22	43	division	division	NOUN
ajst-23620	22	44	does	do	AUX
ajst-23620	22	45	not	not	PART
ajst-23620	22	46	care	care	VERB
ajst-23620	22	47	about	about	ADP
ajst-23620	22	48	the	the	DET
ajst-23620	22	49	label	label	NOUN
ajst-23620	22	50	of	of	ADP
ajst-23620	22	51	this	this	DET
ajst-23620	22	52	class	class	NOUN
ajst-23620	22	53	,	,	PUNCT
ajst-23620	22	54	and	and	CCONJ
ajst-23620	22	55	the	the	DET
ajst-23620	22	56	goal	goal	NOUN
ajst-23620	22	57	is	be	AUX
ajst-23620	22	58	to	to	PART
ajst-23620	22	59	aggregate	aggregate	VERB
ajst-23620	22	60	similar	similar	ADJ
ajst-23620	22	61	data	datum	NOUN
ajst-23620	22	62	together	together	ADV
ajst-23620	22	63	,	,	PUNCT
ajst-23620	22	64	which	which	PRON
ajst-23620	22	65	is	be	AUX
ajst-23620	22	66	a	a	DET
ajst-23620	22	67	kind	kind	NOUN
ajst-23620	22	68	of	of	ADP
ajst-23620	22	69	unsupervised	unsupervised	ADJ
ajst-23620	22	70	learning	learning	NOUN
ajst-23620	22	71	(	(	PUNCT
ajst-23620	22	72	unsupervised	unsupervised	ADJ
ajst-23620	22	73	learning	learning	NOUN
ajst-23620	22	74	)	)	PUNCT
ajst-23620	22	75	method	method	NOUN
ajst-23620	22	76	,	,	PUNCT
ajst-23620	22	77	which	which	PRON
ajst-23620	22	78	is	be	AUX
ajst-23620	22	79	different	different	ADJ
ajst-23620	22	80	from	from	ADP
ajst-23620	22	81	supervised	supervised	ADJ
ajst-23620	22	82	learning	learning	NOUN
ajst-23620	22	83	(	(	PUNCT
ajst-23620	22	84	supervised	supervised	ADJ
ajst-23620	22	85	learning	learning	NOUN
ajst-23620	22	86	)	)	PUNCT
ajst-23620	22	87	,	,	PUNCT
ajst-23620	22	88	unlike	unlike	ADP
ajst-23620	22	89	supervised	supervised	ADJ
ajst-23620	22	90	learning	learning	NOUN
ajst-23620	22	91	,	,	PUNCT
ajst-23620	22	92	the	the	DET
ajst-23620	22	93	categorization	categorization	NOUN
ajst-23620	22	94	or	or	CCONJ
ajst-23620	22	95	grouping	group	VERB
ajst-23620	22	96	information	information	NOUN
ajst-23620	22	97	in	in	ADP
ajst-23620	22	98	the	the	DET
ajst-23620	22	99	clusters	cluster	NOUN
ajst-23620	22	100	that	that	PRON
ajst-23620	22	101	indicates	indicate	VERB
ajst-23620	22	102	the	the	DET
ajst-23620	22	103	category	category	NOUN
ajst-23620	22	104	of	of	ADP
ajst-23620	22	105	the	the	DET
ajst-23620	22	106	data	datum	NOUN
ajst-23620	22	107	is	be	AUX
ajst-23620	22	108	absent	absent	ADJ
ajst-23620	22	109	.	.	PUNCT
ajst-23620	23	1	the	the	DET
ajst-23620	23	2	similarity	similarity	NOUN
ajst-23620	23	3	145	145	NUM
ajst-23620	23	4	between	between	ADP
ajst-23620	23	5	data	datum	NOUN
ajst-23620	23	6	is	be	AUX
ajst-23620	23	7	discriminated	discriminate	VERB
ajst-23620	23	8	by	by	ADP
ajst-23620	23	9	defining	define	VERB
ajst-23620	23	10	a	a	DET
ajst-23620	23	11	distance	distance	NOUN
ajst-23620	23	12	or	or	CCONJ
ajst-23620	23	13	similarity	similarity	NOUN
ajst-23620	23	14	coefficient.[1	coefficient.[1	NOUN
ajst-23620	23	15	]	]	PUNCT
ajst-23620	23	16	figure	figure	NOUN
ajst-23620	23	17	1	1	NUM
ajst-23620	23	18	shows	show	VERB
ajst-23620	23	19	an	an	DET
ajst-23620	23	20	example	example	NOUN
ajst-23620	23	21	of	of	ADP
ajst-23620	23	22	clustering	cluster	VERB
ajst-23620	23	23	by	by	ADP
ajst-23620	23	24	distance	distance	NOUN
ajst-23620	23	25	between	between	ADP
ajst-23620	23	26	data	datum	NOUN
ajst-23620	23	27	objects	object	NOUN
ajst-23620	23	28	,	,	PUNCT
ajst-23620	23	29	where	where	SCONJ
ajst-23620	23	30	data	datum	NOUN
ajst-23620	23	31	objects	object	VERB
ajst-23620	23	32	with	with	ADP
ajst-23620	23	33	similar	similar	ADJ
ajst-23620	23	34	distances	distance	NOUN
ajst-23620	23	35	are	be	AUX
ajst-23620	23	36	classified	classify	VERB
ajst-23620	23	37	into	into	ADP
ajst-23620	23	38	a	a	DET
ajst-23620	23	39	cluster	cluster	NOUN
ajst-23620	23	40	.	.	PUNCT
ajst-23620	24	1	clustering	cluster	VERB
ajst-23620	24	2	algorithms	algorithm	NOUN
ajst-23620	24	3	can	can	AUX
ajst-23620	24	4	automatically	automatically	ADV
ajst-23620	24	5	categorize	categorize	VERB
ajst-23620	24	6	unclassified	unclassified	ADJ
ajst-23620	24	7	data	datum	NOUN
ajst-23620	24	8	based	base	VERB
ajst-23620	24	9	on	on	ADP
ajst-23620	24	10	different	different	ADJ
ajst-23620	24	11	distances	distance	NOUN
ajst-23620	24	12	between	between	ADP
ajst-23620	24	13	the	the	DET
ajst-23620	24	14	data	datum	NOUN
ajst-23620	24	15	(	(	PUNCT
ajst-23620	24	16	e.g.	e.g.	ADV
ajst-23620	24	17	,	,	PUNCT
ajst-23620	24	18	euclidean	euclidean	ADJ
ajst-23620	24	19	distance	distance	NOUN
ajst-23620	24	20	)	)	PUNCT
ajst-23620	24	21	,	,	PUNCT
ajst-23620	24	22	which	which	PRON
ajst-23620	24	23	has	have	VERB
ajst-23620	24	24	higher	high	ADJ
ajst-23620	24	25	accuracy	accuracy	NOUN
ajst-23620	24	26	and	and	CCONJ
ajst-23620	24	27	efficiency	efficiency	NOUN
ajst-23620	24	28	compared	compare	VERB
ajst-23620	24	29	to	to	ADP
ajst-23620	24	30	manual	manual	ADJ
ajst-23620	24	31	classification	classification	NOUN
ajst-23620	24	32	.	.	PUNCT
ajst-23620	25	1	currently	currently	ADV
ajst-23620	25	2	commonly	commonly	ADV
ajst-23620	25	3	used	use	VERB
ajst-23620	25	4	clustering	clustering	NOUN
ajst-23620	25	5	algorithms	algorithm	NOUN
ajst-23620	25	6	include	include	VERB
ajst-23620	25	7	birch	birch	NOUN
ajst-23620	25	8	,	,	PUNCT
ajst-23620	25	9	dbscan	dbscan	NOUN
ajst-23620	25	10	,	,	PUNCT
ajst-23620	25	11	sting	sting	ADJ
ajst-23620	25	12	,	,	PUNCT
ajst-23620	25	13	som	som	NOUN
ajst-23620	25	14	,	,	PUNCT
ajst-23620	25	15	fcm	fcm	X
ajst-23620	25	16	and	and	CCONJ
ajst-23620	25	17	k	k	NOUN
ajst-23620	25	18	-	-	PUNCT
ajst-23620	25	19	means.[2	means.[2	NOUN
ajst-23620	25	20	]	]	X
ajst-23620	25	21	birch	birch	NOUN
ajst-23620	25	22	(	(	PUNCT
ajst-23620	25	23	balanced	balanced	ADJ
ajst-23620	25	24	iterative	iterative	NOUN
ajst-23620	25	25	reducing	reduce	VERB
ajst-23620	25	26	and	and	CCONJ
ajst-23620	25	27	clustering	clustering	ADJ
ajst-23620	25	28	using	use	VERB
ajst-23620	25	29	hierarchies	hierarchy	NOUN
ajst-23620	25	30	)	)	PUNCT
ajst-23620	25	31	is	be	AUX
ajst-23620	25	32	a	a	DET
ajst-23620	25	33	comprehensive	comprehensive	ADJ
ajst-23620	25	34	hierarchical	hierarchical	ADJ
ajst-23620	25	35	clustering	clustering	ADJ
ajst-23620	25	36	algorithm	algorithm	NOUN
ajst-23620	25	37	.	.	PUNCT
ajst-23620	26	1	it	it	PRON
ajst-23620	26	2	uses	use	VERB
ajst-23620	26	3	the	the	DET
ajst-23620	26	4	concepts	concept	NOUN
ajst-23620	26	5	of	of	ADP
ajst-23620	26	6	clustering	cluster	VERB
ajst-23620	26	7	feature	feature	NOUN
ajst-23620	26	8	(	(	PUNCT
ajst-23620	26	9	cf	cf	NOUN
ajst-23620	26	10	)	)	PUNCT
ajst-23620	26	11	and	and	CCONJ
ajst-23620	26	12	clustering	cluster	VERB
ajst-23620	26	13	feature	feature	NOUN
ajst-23620	26	14	tree	tree	NOUN
ajst-23620	26	15	(	(	PUNCT
ajst-23620	26	16	cf	cf	NOUN
ajst-23620	26	17	tree	tree	NOUN
ajst-23620	26	18	)	)	PUNCT
ajst-23620	26	19	to	to	PART
ajst-23620	26	20	generalize	generalize	VERB
ajst-23620	26	21	the	the	DET
ajst-23620	26	22	clustering	clustering	ADJ
ajst-23620	26	23	description	description	NOUN
ajst-23620	26	24	.	.	PUNCT
ajst-23620	27	1	the	the	DET
ajst-23620	27	2	clustering	clustering	ADJ
ajst-23620	27	3	feature	feature	NOUN
ajst-23620	27	4	tree	tree	NOUN
ajst-23620	27	5	summarizes	summarize	VERB
ajst-23620	27	6	the	the	DET
ajst-23620	27	7	useful	useful	ADJ
ajst-23620	27	8	information	information	NOUN
ajst-23620	27	9	for	for	ADP
ajst-23620	27	10	clustering	clustering	NOUN
ajst-23620	27	11	and	and	CCONJ
ajst-23620	27	12	occupies	occupy	VERB
ajst-23620	27	13	much	much	ADV
ajst-23620	27	14	less	less	ADJ
ajst-23620	27	15	space	space	NOUN
ajst-23620	27	16	than	than	ADP
ajst-23620	27	17	a	a	DET
ajst-23620	27	18	collection	collection	NOUN
ajst-23620	27	19	of	of	ADP
ajst-23620	27	20	metadata	metadata	NOUN
ajst-23620	27	21	,	,	PUNCT
ajst-23620	27	22	which	which	PRON
ajst-23620	27	23	can	can	AUX
ajst-23620	27	24	be	be	AUX
ajst-23620	27	25	stored	store	VERB
ajst-23620	27	26	in	in	ADP
ajst-23620	27	27	memory	memory	NOUN
ajst-23620	27	28	,	,	PUNCT
ajst-23620	27	29	thus	thus	ADV
ajst-23620	27	30	improving	improve	VERB
ajst-23620	27	31	the	the	DET
ajst-23620	27	32	speed	speed	NOUN
ajst-23620	27	33	and	and	CCONJ
ajst-23620	27	34	scalability	scalability	NOUN
ajst-23620	27	35	of	of	ADP
ajst-23620	27	36	the	the	DET
ajst-23620	27	37	algorithm	algorithm	NOUN
ajst-23620	27	38	for	for	ADP
ajst-23620	27	39	clustering	cluster	VERB
ajst-23620	27	40	on	on	ADP
ajst-23620	27	41	large	large	ADJ
ajst-23620	27	42	data	datum	NOUN
ajst-23620	27	43	collections	collection	NOUN
ajst-23620	27	44	.	.	PUNCT
ajst-23620	28	1	the	the	DET
ajst-23620	28	2	algorithm	algorithm	NOUN
ajst-23620	28	3	is	be	AUX
ajst-23620	28	4	able	able	ADJ
ajst-23620	28	5	to	to	PART
ajst-23620	28	6	perform	perform	VERB
ajst-23620	28	7	clustering	cluster	VERB
ajst-23620	28	8	efficiently	efficiently	ADV
ajst-23620	28	9	with	with	ADP
ajst-23620	28	10	one	one	NUM
ajst-23620	28	11	scan	scan	NOUN
ajst-23620	28	12	and	and	CCONJ
ajst-23620	28	13	can	can	AUX
ajst-23620	28	14	handle	handle	VERB
ajst-23620	28	15	outliers	outlier	NOUN
ajst-23620	28	16	effectively	effectively	ADV
ajst-23620	28	17	.	.	PUNCT
ajst-23620	29	1	birch	birch	PROPN
ajst-23620	29	2	's	's	PART
ajst-23620	29	3	algorithm	algorithm	NOUN
ajst-23620	29	4	is	be	AUX
ajst-23620	29	5	a	a	DET
ajst-23620	29	6	distance	distance	NOUN
ajst-23620	29	7	-	-	PUNCT
ajst-23620	29	8	based	base	VERB
ajst-23620	29	9	hierarchical	hierarchical	ADJ
ajst-23620	29	10	clustering	clustering	NOUN
ajst-23620	29	11	that	that	PRON
ajst-23620	29	12	combines	combine	VERB
ajst-23620	29	13	hierarchical	hierarchical	ADJ
ajst-23620	29	14	coalescing	coalescing	NOUN
ajst-23620	29	15	and	and	CCONJ
ajst-23620	29	16	iterative	iterative	NOUN
ajst-23620	29	17	relocation	relocation	NOUN
ajst-23620	29	18	methods	method	NOUN
ajst-23620	29	19	,	,	PUNCT
ajst-23620	29	20	first	first	ADV
ajst-23620	29	21	using	use	VERB
ajst-23620	29	22	bottom	bottom	ADJ
ajst-23620	29	23	-	-	PUNCT
ajst-23620	29	24	up	up	ADP
ajst-23620	29	25	hierarchical	hierarchical	ADJ
ajst-23620	29	26	algorithms	algorithm	NOUN
ajst-23620	29	27	,	,	PUNCT
ajst-23620	29	28	and	and	CCONJ
ajst-23620	29	29	then	then	ADV
ajst-23620	29	30	using	use	VERB
ajst-23620	29	31	iterative	iterative	NOUN
ajst-23620	29	32	relocation	relocation	NOUN
ajst-23620	29	33	to	to	PART
ajst-23620	29	34	improve	improve	VERB
ajst-23620	29	35	the	the	DET
ajst-23620	29	36	results	result	NOUN
ajst-23620	29	37	.	.	PUNCT
ajst-23620	30	1	hierarchical	hierarchical	ADJ
ajst-23620	30	2	coalescence	coalescence	NOUN
ajst-23620	30	3	uses	use	VERB
ajst-23620	30	4	a	a	DET
ajst-23620	30	5	bottom	bottom	ADJ
ajst-23620	30	6	-	-	PUNCT
ajst-23620	30	7	up	up	ADP
ajst-23620	30	8	strategy	strategy	NOUN
ajst-23620	30	9	,	,	PUNCT
ajst-23620	30	10	where	where	SCONJ
ajst-23620	30	11	each	each	DET
ajst-23620	30	12	object	object	NOUN
ajst-23620	30	13	is	be	AUX
ajst-23620	30	14	first	first	ADV
ajst-23620	30	15	treated	treat	VERB
ajst-23620	30	16	as	as	ADP
ajst-23620	30	17	a	a	DET
ajst-23620	30	18	cluster	cluster	NOUN
ajst-23620	30	19	of	of	ADP
ajst-23620	30	20	atoms	atom	NOUN
ajst-23620	30	21	,	,	PUNCT
ajst-23620	30	22	and	and	CCONJ
ajst-23620	30	23	then	then	ADV
ajst-23620	30	24	these	these	DET
ajst-23620	30	25	clusters	cluster	NOUN
ajst-23620	30	26	are	be	AUX
ajst-23620	30	27	merged	merge	VERB
ajst-23620	30	28	to	to	PART
ajst-23620	30	29	form	form	VERB
ajst-23620	30	30	larger	large	ADJ
ajst-23620	30	31	clusters	cluster	NOUN
ajst-23620	30	32	,	,	PUNCT
ajst-23620	30	33	reducing	reduce	VERB
ajst-23620	30	34	the	the	DET
ajst-23620	30	35	number	number	NOUN
ajst-23620	30	36	of	of	ADP
ajst-23620	30	37	clusters	cluster	NOUN
ajst-23620	30	38	until	until	SCONJ
ajst-23620	30	39	all	all	DET
ajst-23620	30	40	the	the	DET
ajst-23620	30	41	objects	object	NOUN
ajst-23620	30	42	are	be	AUX
ajst-23620	30	43	in	in	ADP
ajst-23620	30	44	a	a	DET
ajst-23620	30	45	cluster	cluster	NOUN
ajst-23620	30	46	or	or	CCONJ
ajst-23620	30	47	some	some	DET
ajst-23620	30	48	end	end	NOUN
ajst-23620	30	49	condition	condition	NOUN
ajst-23620	30	50	is	be	AUX
ajst-23620	30	51	satisfied	satisfied	ADJ
ajst-23620	30	52	.	.	PUNCT
ajst-23620	31	1	the	the	DET
ajst-23620	31	2	main	main	ADJ
ajst-23620	31	3	idea	idea	NOUN
ajst-23620	31	4	of	of	ADP
ajst-23620	31	5	the	the	DET
ajst-23620	31	6	algorithm	algorithm	NOUN
ajst-23620	31	7	is	be	AUX
ajst-23620	31	8	to	to	PART
ajst-23620	31	9	build	build	VERB
ajst-23620	31	10	a	a	DET
ajst-23620	31	11	clustering	clustering	ADJ
ajst-23620	31	12	feature	feature	NOUN
ajst-23620	31	13	tree	tree	NOUN
ajst-23620	31	14	initially	initially	ADV
ajst-23620	31	15	stored	store	VERB
ajst-23620	31	16	in	in	ADP
ajst-23620	31	17	memory	memory	NOUN
ajst-23620	31	18	by	by	ADP
ajst-23620	31	19	scanning	scan	VERB
ajst-23620	31	20	the	the	DET
ajst-23620	31	21	database	database	NOUN
ajst-23620	31	22	and	and	CCONJ
ajst-23620	31	23	then	then	ADV
ajst-23620	31	24	clustering	cluster	VERB
ajst-23620	31	25	the	the	DET
ajst-23620	31	26	leaf	leaf	NOUN
ajst-23620	31	27	nodes	node	NOUN
ajst-23620	31	28	of	of	ADP
ajst-23620	31	29	the	the	DET
ajst-23620	31	30	clustering	clustering	ADJ
ajst-23620	31	31	feature	feature	NOUN
ajst-23620	31	32	tree.[3	tree.[3	NOUN
ajst-23620	31	33	]	]	PUNCT
ajst-23620	31	34	dbscan	dbscan	NOUN
ajst-23620	31	35	(	(	PUNCT
ajst-23620	31	36	density	density	NOUN
ajst-23620	31	37	-	-	PUNCT
ajst-23620	31	38	based	base	VERB
ajst-23620	31	39	spatial	spatial	ADJ
ajst-23620	31	40	clustering	clustering	NOUN
ajst-23620	31	41	of	of	ADP
ajst-23620	31	42	applications	application	NOUN
ajst-23620	31	43	with	with	ADP
ajst-23620	31	44	noise	noise	NOUN
ajst-23620	31	45	)	)	PUNCT
ajst-23620	31	46	is	be	AUX
ajst-23620	31	47	a	a	DET
ajst-23620	31	48	representative	representative	ADJ
ajst-23620	31	49	density	density	NOUN
ajst-23620	31	50	-	-	PUNCT
ajst-23620	31	51	based	base	VERB
ajst-23620	31	52	clustering	clustering	ADJ
ajst-23620	31	53	algorithm	algorithm	NOUN
ajst-23620	31	54	.	.	PUNCT
ajst-23620	32	1	dbscan	dbscan	PROPN
ajst-23620	32	2	is	be	AUX
ajst-23620	32	3	a	a	DET
ajst-23620	32	4	density	density	NOUN
ajst-23620	32	5	-	-	PUNCT
ajst-23620	32	6	based	base	VERB
ajst-23620	32	7	clustering	clustering	ADJ
ajst-23620	32	8	algorithm	algorithm	NOUN
ajst-23620	32	9	that	that	PRON
ajst-23620	32	10	uses	use	VERB
ajst-23620	32	11	high	high	ADJ
ajst-23620	32	12	-	-	PUNCT
ajst-23620	32	13	density	density	NOUN
ajst-23620	32	14	connected	connect	VERB
ajst-23620	32	15	regions	region	NOUN
ajst-23620	32	16	to	to	PART
ajst-23620	32	17	divide	divide	VERB
ajst-23620	32	18	clusters	cluster	NOUN
ajst-23620	32	19	.	.	PUNCT
ajst-23620	33	1	in	in	ADP
ajst-23620	33	2	this	this	DET
ajst-23620	33	3	algorithm	algorithm	NOUN
ajst-23620	33	4	,	,	PUNCT
ajst-23620	33	5	clusters	cluster	NOUN
ajst-23620	33	6	are	be	AUX
ajst-23620	33	7	characterized	characterize	VERB
ajst-23620	33	8	by	by	ADP
ajst-23620	33	9	the	the	DET
ajst-23620	33	10	largest	large	ADJ
ajst-23620	33	11	set	set	NOUN
ajst-23620	33	12	of	of	ADP
ajst-23620	33	13	densely	densely	ADV
ajst-23620	33	14	connected	connect	VERB
ajst-23620	33	15	points	point	NOUN
ajst-23620	33	16	and	and	CCONJ
ajst-23620	33	17	high	high	ADJ
ajst-23620	33	18	-	-	PUNCT
ajst-23620	33	19	density	density	NOUN
ajst-23620	33	20	regions	region	NOUN
ajst-23620	33	21	.	.	PUNCT
ajst-23620	34	1	unlike	unlike	ADP
ajst-23620	34	2	divisional	divisional	ADJ
ajst-23620	34	3	and	and	CCONJ
ajst-23620	34	4	hierarchical	hierarchical	ADJ
ajst-23620	34	5	clustering	clustering	ADJ
ajst-23620	34	6	methods	method	NOUN
ajst-23620	34	7	,	,	PUNCT
ajst-23620	34	8	it	it	PRON
ajst-23620	34	9	defines	define	VERB
ajst-23620	34	10	a	a	DET
ajst-23620	34	11	cluster	cluster	NOUN
ajst-23620	34	12	as	as	ADP
ajst-23620	34	13	the	the	DET
ajst-23620	34	14	largest	large	ADJ
ajst-23620	34	15	set	set	NOUN
ajst-23620	34	16	of	of	ADP
ajst-23620	34	17	densely	densely	ADV
ajst-23620	34	18	connected	connect	VERB
ajst-23620	34	19	points	point	NOUN
ajst-23620	34	20	,	,	PUNCT
ajst-23620	34	21	is	be	AUX
ajst-23620	34	22	able	able	ADJ
ajst-23620	34	23	to	to	PART
ajst-23620	34	24	classify	classify	VERB
ajst-23620	34	25	regions	region	NOUN
ajst-23620	34	26	with	with	ADP
ajst-23620	34	27	sufficiently	sufficiently	ADV
ajst-23620	34	28	high	high	ADJ
ajst-23620	34	29	density	density	NOUN
ajst-23620	34	30	as	as	ADP
ajst-23620	34	31	clusters	cluster	NOUN
ajst-23620	34	32	,	,	PUNCT
ajst-23620	34	33	and	and	CCONJ
ajst-23620	34	34	can	can	AUX
ajst-23620	34	35	discover	discover	VERB
ajst-23620	34	36	clusters	cluster	NOUN
ajst-23620	34	37	of	of	ADP
ajst-23620	34	38	arbitrary	arbitrary	ADJ
ajst-23620	34	39	shape	shape	NOUN
ajst-23620	34	40	in	in	ADP
ajst-23620	34	41	a	a	DET
ajst-23620	34	42	noisy	noisy	ADJ
ajst-23620	34	43	spatial	spatial	ADJ
ajst-23620	34	44	database.[4	database.[4	NOUN
ajst-23620	34	45	]	]	X
ajst-23620	34	46	sting	sting	NOUN
ajst-23620	34	47	(	(	PUNCT
ajst-23620	34	48	statistical	statistical	ADJ
ajst-23620	34	49	information	information	NOUN
ajst-23620	34	50	grid	grid	NOUN
ajst-23620	34	51	)	)	PUNCT
ajst-23620	34	52	is	be	AUX
ajst-23620	34	53	a	a	DET
ajst-23620	34	54	grid	grid	NOUN
ajst-23620	34	55	-	-	PUNCT
ajst-23620	34	56	based	base	VERB
ajst-23620	34	57	multiresolution	multiresolution	NOUN
ajst-23620	34	58	clustering	cluster	VERB
ajst-23620	34	59	technique	technique	NOUN
ajst-23620	34	60	that	that	PRON
ajst-23620	34	61	divides	divide	VERB
ajst-23620	34	62	spatial	spatial	ADJ
ajst-23620	34	63	regions	region	NOUN
ajst-23620	34	64	into	into	ADP
ajst-23620	34	65	rectangular	rectangular	ADJ
ajst-23620	34	66	cells	cell	NOUN
ajst-23620	34	67	.	.	PUNCT
ajst-23620	35	1	for	for	ADP
ajst-23620	35	2	different	different	ADJ
ajst-23620	35	3	levels	level	NOUN
ajst-23620	35	4	of	of	ADP
ajst-23620	35	5	resolution	resolution	NOUN
ajst-23620	35	6	,	,	PUNCT
ajst-23620	35	7	there	there	PRON
ajst-23620	35	8	are	be	VERB
ajst-23620	35	9	usually	usually	ADV
ajst-23620	35	10	multiple	multiple	ADJ
ajst-23620	35	11	levels	level	NOUN
ajst-23620	35	12	of	of	ADP
ajst-23620	35	13	rectangular	rectangular	ADJ
ajst-23620	35	14	cells	cell	NOUN
ajst-23620	35	15	that	that	PRON
ajst-23620	35	16	form	form	VERB
ajst-23620	35	17	a	a	DET
ajst-23620	35	18	hierarchy	hierarchy	NOUN
ajst-23620	35	19	:	:	PUNCT
ajst-23620	35	20	each	each	DET
ajst-23620	35	21	cell	cell	NOUN
ajst-23620	35	22	in	in	ADP
ajst-23620	35	23	the	the	DET
ajst-23620	35	24	upper	upper	ADJ
ajst-23620	35	25	level	level	NOUN
ajst-23620	35	26	is	be	AUX
ajst-23620	35	27	divided	divide	VERB
ajst-23620	35	28	into	into	ADP
ajst-23620	35	29	multiple	multiple	ADJ
ajst-23620	35	30	cells	cell	NOUN
ajst-23620	35	31	in	in	ADP
ajst-23620	35	32	the	the	DET
ajst-23620	35	33	lower	low	ADJ
ajst-23620	35	34	level	level	NOUN
ajst-23620	35	35	.	.	PUNCT
ajst-23620	36	1	statistical	statistical	ADJ
ajst-23620	36	2	information	information	NOUN
ajst-23620	36	3	about	about	ADP
ajst-23620	36	4	the	the	DET
ajst-23620	36	5	properties	property	NOUN
ajst-23620	36	6	of	of	ADP
ajst-23620	36	7	each	each	DET
ajst-23620	36	8	grid	grid	NOUN
ajst-23620	36	9	cell	cell	NOUN
ajst-23620	36	10	(	(	PUNCT
ajst-23620	36	11	e.g.	e.g.	ADV
ajst-23620	36	12	,	,	PUNCT
ajst-23620	36	13	mean	mean	VERB
ajst-23620	36	14	,	,	PUNCT
ajst-23620	36	15	maximum	maximum	ADJ
ajst-23620	36	16	,	,	PUNCT
ajst-23620	36	17	and	and	CCONJ
ajst-23620	36	18	minimum	minimum	ADJ
ajst-23620	36	19	values	value	NOUN
ajst-23620	36	20	)	)	PUNCT
ajst-23620	36	21	is	be	AUX
ajst-23620	36	22	pre	pre	VERB
ajst-23620	36	23	-	-	VERB
ajst-23620	36	24	computed	computed	ADJ
ajst-23620	36	25	and	and	CCONJ
ajst-23620	36	26	stored	store	VERB
ajst-23620	36	27	.	.	PUNCT
ajst-23620	37	1	these	these	DET
ajst-23620	37	2	statistical	statistical	ADJ
ajst-23620	37	3	variables	variable	NOUN
ajst-23620	37	4	can	can	AUX
ajst-23620	37	5	be	be	AUX
ajst-23620	37	6	easily	easily	ADV
ajst-23620	37	7	used	use	VERB
ajst-23620	37	8	for	for	ADP
ajst-23620	37	9	the	the	DET
ajst-23620	37	10	query	query	NOUN
ajst-23620	37	11	processing	processing	NOUN
ajst-23620	37	12	described	describe	VERB
ajst-23620	37	13	below	below	ADV
ajst-23620	37	14	.	.	PUNCT
ajst-23620	38	1	statistical	statistical	ADJ
ajst-23620	38	2	variables	variable	NOUN
ajst-23620	38	3	for	for	ADP
ajst-23620	38	4	higherlevel	higherlevel	NOUN
ajst-23620	38	5	cells	cell	NOUN
ajst-23620	38	6	can	can	AUX
ajst-23620	38	7	be	be	AUX
ajst-23620	38	8	easily	easily	ADV
ajst-23620	38	9	computed	compute	VERB
ajst-23620	38	10	from	from	ADP
ajst-23620	38	11	variables	variable	NOUN
ajst-23620	38	12	for	for	ADP
ajst-23620	38	13	lowerlevel	lowerlevel	NOUN
ajst-23620	38	14	cells	cell	NOUN
ajst-23620	38	15	.	.	PUNCT
ajst-23620	39	1	these	these	DET
ajst-23620	39	2	statistical	statistical	ADJ
ajst-23620	39	3	variables	variable	NOUN
ajst-23620	39	4	include	include	VERB
ajst-23620	39	5	:	:	PUNCT
ajst-23620	39	6	the	the	DET
ajst-23620	39	7	attributeindependent	attributeindependent	ADJ
ajst-23620	39	8	variable	variable	ADJ
ajst-23620	39	9	count	count	NOUN
ajst-23620	39	10	;	;	PUNCT
ajst-23620	39	11	the	the	DET
ajst-23620	39	12	attribute	attribute	NOUN
ajst-23620	39	13	-	-	PUNCT
ajst-23620	39	14	dependent	dependent	ADJ
ajst-23620	39	15	variables	variable	NOUN
ajst-23620	39	16	m	m	VERB
ajst-23620	39	17	(	(	PUNCT
ajst-23620	39	18	mean	mean	ADJ
ajst-23620	39	19	)	)	PUNCT
ajst-23620	39	20	,	,	PUNCT
ajst-23620	39	21	s	s	PART
ajst-23620	39	22	(	(	PUNCT
ajst-23620	39	23	standard	standard	ADJ
ajst-23620	39	24	deviation	deviation	NOUN
ajst-23620	39	25	)	)	PUNCT
ajst-23620	39	26	,	,	PUNCT
ajst-23620	39	27	min	min	NOUN
ajst-23620	39	28	(	(	PUNCT
ajst-23620	39	29	minimum	minimum	NOUN
ajst-23620	39	30	)	)	PUNCT
ajst-23620	39	31	,	,	PUNCT
ajst-23620	39	32	and	and	CCONJ
ajst-23620	39	33	max	max	PROPN
ajst-23620	39	34	(	(	PUNCT
ajst-23620	39	35	maximum	maximum	ADJ
ajst-23620	39	36	)	)	PUNCT
ajst-23620	39	37	,	,	PUNCT
ajst-23620	39	38	and	and	CCONJ
ajst-23620	39	39	the	the	DET
ajst-23620	39	40	type	type	NOUN
ajst-23620	39	41	of	of	ADP
ajst-23620	39	42	distribution	distribution	NOUN
ajst-23620	39	43	that	that	PRON
ajst-23620	39	44	the	the	DET
ajst-23620	39	45	attribute	attribute	NOUN
ajst-23620	39	46	values	value	NOUN
ajst-23620	39	47	in	in	ADP
ajst-23620	39	48	the	the	DET
ajst-23620	39	49	cell	cell	NOUN
ajst-23620	39	50	follow	follow	NOUN
ajst-23620	39	51	,	,	PUNCT
ajst-23620	39	52	e.g.	e.g.	ADV
ajst-23620	39	53	,	,	PUNCT
ajst-23620	39	54	normal	normal	ADJ
ajst-23620	39	55	,	,	PUNCT
ajst-23620	39	56	equilibrium	equilibrium	NOUN
ajst-23620	39	57	,	,	PUNCT
ajst-23620	39	58	exponential	exponential	NOUN
ajst-23620	39	59	,	,	PUNCT
ajst-23620	39	60	or	or	CCONJ
ajst-23620	39	61	none	none	NOUN
ajst-23620	39	62	(	(	PUNCT
ajst-23620	39	63	if	if	SCONJ
ajst-23620	39	64	the	the	DET
ajst-23620	39	65	distribution	distribution	NOUN
ajst-23620	39	66	is	be	AUX
ajst-23620	39	67	unknown	unknown	ADJ
ajst-23620	39	68	)	)	PUNCT
ajst-23620	39	69	.	.	PUNCT
ajst-23620	40	1	when	when	SCONJ
ajst-23620	40	2	the	the	DET
ajst-23620	40	3	data	datum	NOUN
ajst-23620	40	4	are	be	AUX
ajst-23620	40	5	loaded	load	VERB
ajst-23620	40	6	into	into	ADP
ajst-23620	40	7	the	the	DET
ajst-23620	40	8	database	database	NOUN
ajst-23620	40	9	,	,	PUNCT
ajst-23620	40	10	the	the	DET
ajst-23620	40	11	variables	variable	NOUN
ajst-23620	40	12	count	count	NOUN
ajst-23620	40	13	,	,	PUNCT
ajst-23620	40	14	m	m	PROPN
ajst-23620	40	15	,	,	PUNCT
ajst-23620	40	16	s	s	PROPN
ajst-23620	40	17	,	,	PUNCT
ajst-23620	40	18	min	min	NOUN
ajst-23620	40	19	,	,	PUNCT
ajst-23620	40	20	and	and	CCONJ
ajst-23620	40	21	max	max	PROPN
ajst-23620	40	22	are	be	AUX
ajst-23620	40	23	computed	compute	VERB
ajst-23620	40	24	directly	directly	ADV
ajst-23620	40	25	for	for	ADP
ajst-23620	40	26	the	the	DET
ajst-23620	40	27	bottom	bottom	ADJ
ajst-23620	40	28	cell	cell	NOUN
ajst-23620	40	29	.	.	PUNCT
ajst-23620	41	1	if	if	SCONJ
ajst-23620	41	2	the	the	DET
ajst-23620	41	3	type	type	NOUN
ajst-23620	41	4	of	of	ADP
ajst-23620	41	5	distribution	distribution	NOUN
ajst-23620	41	6	is	be	AUX
ajst-23620	41	7	known	know	VERB
ajst-23620	41	8	in	in	ADP
ajst-23620	41	9	advance	advance	NOUN
ajst-23620	41	10	,	,	PUNCT
ajst-23620	41	11	the	the	DET
ajst-23620	41	12	value	value	NOUN
ajst-23620	41	13	of	of	ADP
ajst-23620	41	14	distribution	distribution	NOUN
ajst-23620	41	15	can	can	AUX
ajst-23620	41	16	be	be	AUX
ajst-23620	41	17	specified	specify	VERB
ajst-23620	41	18	by	by	ADP
ajst-23620	41	19	the	the	DET
ajst-23620	41	20	user	user	NOUN
ajst-23620	41	21	or	or	CCONJ
ajst-23620	41	22	obtained	obtain	VERB
ajst-23620	41	23	by	by	ADP
ajst-23620	41	24	hypothesis	hypothesis	NOUN
ajst-23620	41	25	testing	testing	NOUN
ajst-23620	41	26	.	.	PUNCT
ajst-23620	42	1	after	after	SCONJ
ajst-23620	42	2	the	the	DET
ajst-23620	42	3	hierarchy	hierarchy	NOUN
ajst-23620	42	4	is	be	AUX
ajst-23620	42	5	established	establish	VERB
ajst-23620	42	6	,	,	PUNCT
ajst-23620	42	7	the	the	DET
ajst-23620	42	8	query	query	NOUN
ajst-23620	42	9	processing	processing	NOUN
ajst-23620	42	10	time	time	NOUN
ajst-23620	42	11	is	be	AUX
ajst-23620	42	12	o(g	o(g	PROPN
ajst-23620	42	13	)	)	PUNCT
ajst-23620	42	14	,	,	PUNCT
ajst-23620	42	15	where	where	SCONJ
ajst-23620	42	16	g	g	PROPN
ajst-23620	42	17	is	be	AUX
ajst-23620	42	18	the	the	DET
ajst-23620	42	19	number	number	NOUN
ajst-23620	42	20	of	of	ADP
ajst-23620	42	21	bottom	bottom	ADJ
ajst-23620	42	22	grid	grid	NOUN
ajst-23620	42	23	cells	cell	NOUN
ajst-23620	42	24	,	,	PUNCT
ajst-23620	42	25	which	which	PRON
ajst-23620	42	26	is	be	AUX
ajst-23620	42	27	usually	usually	ADV
ajst-23620	42	28	much	much	ADV
ajst-23620	42	29	smaller	small	ADJ
ajst-23620	42	30	than	than	ADP
ajst-23620	42	31	n.	n.	NOUN
ajst-23620	42	32	since	since	SCONJ
ajst-23620	42	33	sting	ste	VERB
ajst-23620	42	34	employs	employ	VERB
ajst-23620	42	35	a	a	DET
ajst-23620	42	36	multi	multi	ADJ
ajst-23620	42	37	-	-	ADJ
ajst-23620	42	38	resolution	resolution	ADJ
ajst-23620	42	39	approach	approach	NOUN
ajst-23620	42	40	to	to	ADP
ajst-23620	42	41	cluster	cluster	NOUN
ajst-23620	42	42	analysis	analysis	NOUN
ajst-23620	42	43	,	,	PUNCT
ajst-23620	42	44	the	the	DET
ajst-23620	42	45	quality	quality	NOUN
ajst-23620	42	46	of	of	ADP
ajst-23620	42	47	sting	sting	ADJ
ajst-23620	42	48	clustering	clustering	NOUN
ajst-23620	42	49	depends	depend	VERB
ajst-23620	42	50	on	on	ADP
ajst-23620	42	51	the	the	DET
ajst-23620	42	52	granularity	granularity	NOUN
ajst-23620	42	53	of	of	ADP
ajst-23620	42	54	the	the	DET
ajst-23620	42	55	bottom	bottom	ADJ
ajst-23620	42	56	level	level	NOUN
ajst-23620	42	57	of	of	ADP
ajst-23620	42	58	the	the	DET
ajst-23620	42	59	grid	grid	NOUN
ajst-23620	42	60	structure	structure	NOUN
ajst-23620	42	61	.	.	PUNCT
ajst-23620	43	1	if	if	SCONJ
ajst-23620	43	2	the	the	DET
ajst-23620	43	3	granularity	granularity	NOUN
ajst-23620	43	4	is	be	AUX
ajst-23620	43	5	relatively	relatively	ADV
ajst-23620	43	6	fine	fine	ADJ
ajst-23620	43	7	,	,	PUNCT
ajst-23620	43	8	the	the	DET
ajst-23620	43	9	cost	cost	NOUN
ajst-23620	43	10	of	of	ADP
ajst-23620	43	11	processing	processing	NOUN
ajst-23620	43	12	increases	increase	NOUN
ajst-23620	43	13	significantly	significantly	ADV
ajst-23620	43	14	;	;	PUNCT
ajst-23620	43	15	however	however	ADV
ajst-23620	43	16	,	,	PUNCT
ajst-23620	43	17	if	if	SCONJ
ajst-23620	43	18	the	the	DET
ajst-23620	43	19	granularity	granularity	NOUN
ajst-23620	43	20	of	of	ADP
ajst-23620	43	21	the	the	DET
ajst-23620	43	22	lowest	low	ADJ
ajst-23620	43	23	level	level	NOUN
ajst-23620	43	24	of	of	ADP
ajst-23620	43	25	the	the	DET
ajst-23620	43	26	grid	grid	NOUN
ajst-23620	43	27	structure	structure	NOUN
ajst-23620	43	28	is	be	AUX
ajst-23620	43	29	too	too	ADV
ajst-23620	43	30	coarse	coarse	ADJ
ajst-23620	43	31	,	,	PUNCT
ajst-23620	43	32	it	it	PRON
ajst-23620	43	33	will	will	AUX
ajst-23620	43	34	reduce	reduce	VERB
ajst-23620	43	35	the	the	DET
ajst-23620	43	36	quality	quality	NOUN
ajst-23620	43	37	of	of	ADP
ajst-23620	43	38	the	the	DET
ajst-23620	43	39	cluster	cluster	NOUN
ajst-23620	43	40	analysis	analysis	NOUN
ajst-23620	43	41	.	.	PUNCT
ajst-23620	44	1	moreover	moreover	ADV
ajst-23620	44	2	,	,	PUNCT
ajst-23620	44	3	sting	sting	NOUN
ajst-23620	44	4	does	do	AUX
ajst-23620	44	5	not	not	PART
ajst-23620	44	6	take	take	VERB
ajst-23620	44	7	into	into	ADP
ajst-23620	44	8	account	account	NOUN
ajst-23620	44	9	the	the	DET
ajst-23620	44	10	relationship	relationship	NOUN
ajst-23620	44	11	between	between	ADP
ajst-23620	44	12	a	a	DET
ajst-23620	44	13	child	child	NOUN
ajst-23620	44	14	cell	cell	NOUN
ajst-23620	44	15	and	and	CCONJ
ajst-23620	44	16	its	its	PRON
ajst-23620	44	17	neighboring	neighboring	NOUN
ajst-23620	44	18	cells	cell	NOUN
ajst-23620	44	19	when	when	SCONJ
ajst-23620	44	20	constructing	construct	VERB
ajst-23620	44	21	a	a	DET
ajst-23620	44	22	father	father	NOUN
ajst-23620	44	23	cell	cell	NOUN
ajst-23620	44	24	.	.	PUNCT
ajst-23620	45	1	as	as	ADP
ajst-23620	45	2	a	a	DET
ajst-23620	45	3	result	result	NOUN
ajst-23620	45	4	,	,	PUNCT
ajst-23620	45	5	the	the	DET
ajst-23620	45	6	shape	shape	NOUN
ajst-23620	45	7	of	of	ADP
ajst-23620	45	8	the	the	DET
ajst-23620	45	9	resultant	resultant	NOUN
ajst-23620	45	10	clusters	cluster	NOUN
ajst-23620	45	11	is	be	AUX
ajst-23620	45	12	(	(	PUNCT
ajst-23620	45	13	isothetic	isothetic	ADJ
ajst-23620	45	14	)	)	PUNCT
ajst-23620	45	15	,	,	PUNCT
ajst-23620	45	16	i.e.	i.e.	X
ajst-23620	45	17	,	,	PUNCT
ajst-23620	45	18	all	all	DET
ajst-23620	45	19	the	the	DET
ajst-23620	45	20	clustering	cluster	VERB
ajst-23620	45	21	boundaries	boundary	NOUN
ajst-23620	45	22	are	be	AUX
ajst-23620	45	23	either	either	CCONJ
ajst-23620	45	24	horizontal	horizontal	ADJ
ajst-23620	45	25	or	or	CCONJ
ajst-23620	45	26	vertical	vertical	ADJ
ajst-23620	45	27	,	,	PUNCT
ajst-23620	45	28	with	with	ADP
ajst-23620	45	29	no	no	DET
ajst-23620	45	30	oblique	oblique	ADJ
ajst-23620	45	31	dividing	divide	VERB
ajst-23620	45	32	lines	line	NOUN
ajst-23620	45	33	.	.	PUNCT
ajst-23620	46	1	although	although	SCONJ
ajst-23620	46	2	this	this	DET
ajst-23620	46	3	technique	technique	NOUN
ajst-23620	46	4	has	have	VERB
ajst-23620	46	5	fast	fast	ADJ
ajst-23620	46	6	processing	processing	NOUN
ajst-23620	46	7	speed	speed	NOUN
ajst-23620	46	8	,	,	PUNCT
ajst-23620	46	9	it	it	PRON
ajst-23620	46	10	may	may	AUX
ajst-23620	46	11	reduce	reduce	VERB
ajst-23620	46	12	the	the	DET
ajst-23620	46	13	quality	quality	NOUN
ajst-23620	46	14	and	and	CCONJ
ajst-23620	46	15	accuracy	accuracy	NOUN
ajst-23620	46	16	of	of	ADP
ajst-23620	46	17	the	the	DET
ajst-23620	46	18	clusters.[5	clusters.[5	X
ajst-23620	46	19	]	]	X
ajst-23620	46	20	som	som	NOUN
ajst-23620	46	21	(	(	PUNCT
ajst-23620	46	22	self	self	NOUN
ajst-23620	46	23	-	-	PUNCT
ajst-23620	46	24	organizing	organize	VERB
ajst-23620	46	25	maps	map	NOUN
ajst-23620	46	26	)	)	PUNCT
ajst-23620	46	27	,	,	PUNCT
ajst-23620	46	28	self	self	NOUN
ajst-23620	46	29	-	-	PUNCT
ajst-23620	46	30	organizing	organize	VERB
ajst-23620	46	31	mapping	mapping	NOUN
ajst-23620	46	32	network	network	NOUN
ajst-23620	46	33	,	,	PUNCT
ajst-23620	46	34	is	be	AUX
ajst-23620	46	35	a	a	DET
ajst-23620	46	36	clustering	cluster	VERB
ajst-23620	46	37	algorithm	algorithm	NOUN
ajst-23620	46	38	based	base	VERB
ajst-23620	46	39	on	on	ADP
ajst-23620	46	40	neural	neural	ADJ
ajst-23620	46	41	networks	network	NOUN
ajst-23620	46	42	.	.	PUNCT
ajst-23620	47	1	it	it	PRON
ajst-23620	47	2	is	be	AUX
ajst-23620	47	3	an	an	DET
ajst-23620	47	4	artificial	artificial	ADJ
ajst-23620	47	5	neural	neural	ADJ
ajst-23620	47	6	network	network	NOUN
ajst-23620	47	7	developed	develop	VERB
ajst-23620	47	8	by	by	ADP
ajst-23620	47	9	modeling	model	VERB
ajst-23620	47	10	the	the	DET
ajst-23620	47	11	characteristics	characteristic	NOUN
ajst-23620	47	12	of	of	ADP
ajst-23620	47	13	the	the	DET
ajst-23620	47	14	human	human	ADJ
ajst-23620	47	15	brain	brain	NOUN
ajst-23620	47	16	for	for	ADP
ajst-23620	47	17	signal	signal	ADJ
ajst-23620	47	18	processing	processing	NOUN
ajst-23620	47	19	.	.	PUNCT
ajst-23620	48	1	after	after	SCONJ
ajst-23620	48	2	the	the	DET
ajst-23620	48	3	model	model	NOUN
ajst-23620	48	4	was	be	AUX
ajst-23620	48	5	proposed	propose	VERB
ajst-23620	48	6	by	by	ADP
ajst-23620	48	7	teuvo	teuvo	PROPN
ajst-23620	48	8	kohonen	kohonen	PROPN
ajst-23620	48	9	,	,	PUNCT
ajst-23620	48	10	a	a	DET
ajst-23620	48	11	professor	professor	NOUN
ajst-23620	48	12	at	at	ADP
ajst-23620	48	13	the	the	DET
ajst-23620	48	14	university	university	PROPN
ajst-23620	48	15	of	of	ADP
ajst-23620	48	16	helsinki	helsinki	PROPN
ajst-23620	48	17	,	,	PUNCT
ajst-23620	48	18	finland	finland	PROPN
ajst-23620	48	19	,	,	PUNCT
ajst-23620	48	20	in	in	ADP
ajst-23620	48	21	1981	1981	NUM
ajst-23620	48	22	,	,	PUNCT
ajst-23620	48	23	it	it	PRON
ajst-23620	48	24	has	have	AUX
ajst-23620	48	25	now	now	ADV
ajst-23620	48	26	become	become	VERB
ajst-23620	48	27	the	the	DET
ajst-23620	48	28	most	most	ADV
ajst-23620	48	29	widely	widely	ADV
ajst-23620	48	30	used	use	VERB
ajst-23620	48	31	self	self	NOUN
ajst-23620	48	32	-	-	PUNCT
ajst-23620	48	33	organizing	organize	VERB
ajst-23620	48	34	neural	neural	ADJ
ajst-23620	48	35	network	network	NOUN
ajst-23620	48	36	method	method	NOUN
ajst-23620	48	37	,	,	PUNCT
ajst-23620	48	38	in	in	ADP
ajst-23620	48	39	which	which	PRON
ajst-23620	48	40	the	the	DET
ajst-23620	48	41	wta	wta	PROPN
ajst-23620	48	42	(	(	PUNCT
ajst-23620	48	43	winner	winner	NOUN
ajst-23620	48	44	takes	take	VERB
ajst-23620	48	45	all	all	PRON
ajst-23620	48	46	)	)	PUNCT
ajst-23620	48	47	competition	competition	NOUN
ajst-23620	48	48	mechanism	mechanism	NOUN
ajst-23620	48	49	reflects	reflect	VERB
ajst-23620	48	50	the	the	DET
ajst-23620	48	51	most	most	ADV
ajst-23620	48	52	fundamental	fundamental	ADJ
ajst-23620	48	53	features	feature	NOUN
ajst-23620	48	54	of	of	ADP
ajst-23620	48	55	selforganized	selforganized	ADJ
ajst-23620	48	56	learning	learning	NOUN
ajst-23620	48	57	.	.	PUNCT
ajst-23620	49	1	som	som	NOUN
ajst-23620	49	2	networks	network	NOUN
ajst-23620	49	3	can	can	AUX
ajst-23620	49	4	map	map	VERB
ajst-23620	49	5	any	any	DET
ajst-23620	49	6	dimensional	dimensional	ADJ
ajst-23620	49	7	input	input	NOUN
ajst-23620	49	8	pattern	pattern	NOUN
ajst-23620	49	9	into	into	ADP
ajst-23620	49	10	a	a	DET
ajst-23620	49	11	oneor	oneor	NOUN
ajst-23620	49	12	two	two	NUM
ajst-23620	49	13	-	-	PUNCT
ajst-23620	49	14	dimensional	dimensional	ADJ
ajst-23620	49	15	graph	graph	NOUN
ajst-23620	49	16	at	at	ADP
ajst-23620	49	17	the	the	DET
ajst-23620	49	18	output	output	NOUN
ajst-23620	49	19	layer	layer	NOUN
ajst-23620	49	20	,	,	PUNCT
ajst-23620	49	21	and	and	CCONJ
ajst-23620	49	22	keep	keep	VERB
ajst-23620	49	23	its	its	PRON
ajst-23620	49	24	topology	topology	NOUN
ajst-23620	49	25	unchanged	unchanged	ADJ
ajst-23620	49	26	;	;	PUNCT
ajst-23620	49	27	the	the	DET
ajst-23620	49	28	network	network	NOUN
ajst-23620	49	29	can	can	AUX
ajst-23620	49	30	make	make	VERB
ajst-23620	49	31	the	the	DET
ajst-23620	49	32	weight	weight	NOUN
ajst-23620	49	33	vector	vector	NOUN
ajst-23620	49	34	space	space	NOUN
ajst-23620	49	35	converge	converge	NOUN
ajst-23620	49	36	to	to	ADP
ajst-23620	49	37	the	the	DET
ajst-23620	49	38	probability	probability	NOUN
ajst-23620	49	39	distribution	distribution	NOUN
ajst-23620	49	40	of	of	ADP
ajst-23620	49	41	the	the	DET
ajst-23620	49	42	input	input	NOUN
ajst-23620	49	43	pattern	pattern	NOUN
ajst-23620	49	44	through	through	ADP
ajst-23620	49	45	repeated	repeat	VERB
ajst-23620	49	46	learning	learning	NOUN
ajst-23620	49	47	of	of	ADP
ajst-23620	49	48	the	the	DET
ajst-23620	49	49	input	input	NOUN
ajst-23620	49	50	pattern	pattern	NOUN
ajst-23620	49	51	,	,	PUNCT
ajst-23620	49	52	i.e.	i.e.	X
ajst-23620	49	53	,	,	PUNCT
ajst-23620	49	54	probability	probability	NOUN
ajst-23620	49	55	preservation	preservation	NOUN
ajst-23620	49	56	.	.	PUNCT
ajst-23620	50	1	neurons	neuron	NOUN
ajst-23620	50	2	in	in	ADP
ajst-23620	50	3	the	the	DET
ajst-23620	50	4	competitive	competitive	ADJ
ajst-23620	50	5	layer	layer	NOUN
ajst-23620	50	6	of	of	ADP
ajst-23620	50	7	the	the	DET
ajst-23620	50	8	network	network	NOUN
ajst-23620	50	9	compete	compete	VERB
ajst-23620	50	10	for	for	ADP
ajst-23620	50	11	the	the	DET
ajst-23620	50	12	chance	chance	NOUN
ajst-23620	50	13	to	to	PART
ajst-23620	50	14	respond	respond	VERB
ajst-23620	50	15	to	to	ADP
ajst-23620	50	16	the	the	DET
ajst-23620	50	17	input	input	NOUN
ajst-23620	50	18	pattern	pattern	NOUN
ajst-23620	50	19	,	,	PUNCT
ajst-23620	50	20	and	and	CCONJ
ajst-23620	50	21	each	each	DET
ajst-23620	50	22	weight	weight	NOUN
ajst-23620	50	23	associated	associate	VERB
ajst-23620	50	24	with	with	ADP
ajst-23620	50	25	the	the	DET
ajst-23620	50	26	winning	win	VERB
ajst-23620	50	27	neuron	neuron	NOUN
ajst-23620	50	28	is	be	AUX
ajst-23620	50	29	adjusted	adjust	VERB
ajst-23620	50	30	in	in	ADP
ajst-23620	50	31	a	a	DET
ajst-23620	50	32	direction	direction	NOUN
ajst-23620	50	33	more	more	ADV
ajst-23620	50	34	favorable	favorable	ADJ
ajst-23620	50	35	to	to	ADP
ajst-23620	50	36	its	its	PRON
ajst-23620	50	37	competition	competition	NOUN
ajst-23620	50	38	"	"	PUNCT
ajst-23620	50	39	i.e.	i.e.	X
ajst-23620	50	40	,	,	PUNCT
ajst-23620	50	41	with	with	ADP
ajst-23620	50	42	the	the	DET
ajst-23620	50	43	winning	win	VERB
ajst-23620	50	44	neuron	neuron	NOUN
ajst-23620	50	45	as	as	ADP
ajst-23620	50	46	the	the	DET
ajst-23620	50	47	center	center	NOUN
ajst-23620	50	48	of	of	ADP
ajst-23620	50	49	the	the	DET
ajst-23620	50	50	circle	circle	NOUN
ajst-23620	50	51	,	,	PUNCT
ajst-23620	50	52	it	it	PRON
ajst-23620	50	53	exhibits	exhibit	VERB
ajst-23620	50	54	excitatory	excitatory	ADJ
ajst-23620	50	55	lateral	lateral	ADJ
ajst-23620	50	56	feedback	feedback	NOUN
ajst-23620	50	57	to	to	ADP
ajst-23620	50	58	its	its	PRON
ajst-23620	50	59	nearest	near	ADJ
ajst-23620	50	60	neighbors	neighbor	NOUN
ajst-23620	50	61	and	and	CCONJ
ajst-23620	50	62	inhibitory	inhibitory	ADJ
ajst-23620	50	63	lateral	lateral	ADJ
ajst-23620	50	64	feedback	feedback	NOUN
ajst-23620	50	65	to	to	ADP
ajst-23620	50	66	its	its	PRON
ajst-23620	50	67	distant	distant	ADJ
ajst-23620	50	68	neighbors	neighbor	NOUN
ajst-23620	50	69	,	,	PUNCT
ajst-23620	50	70	with	with	ADP
ajst-23620	50	71	its	its	PRON
ajst-23620	50	72	near	near	ADJ
ajst-23620	50	73	neighbors	neighbor	NOUN
ajst-23620	50	74	motivating	motivate	VERB
ajst-23620	50	75	each	each	DET
ajst-23620	50	76	other	other	ADJ
ajst-23620	50	77	and	and	CCONJ
ajst-23620	50	78	its	its	PRON
ajst-23620	50	79	distant	distant	ADJ
ajst-23620	50	80	neighbors	neighbor	NOUN
ajst-23620	50	81	inhibiting	inhibit	VERB
ajst-23620	50	82	each	each	DET
ajst-23620	50	83	other	other	ADJ
ajst-23620	50	84	"	"	PUNCT
ajst-23620	50	85	.	.	PUNCT
ajst-23620	51	1	in	in	ADP
ajst-23620	51	2	general	general	ADJ
ajst-23620	51	3	,	,	PUNCT
ajst-23620	51	4	a	a	DET
ajst-23620	51	5	near	near	ADJ
ajst-23620	51	6	neighbor	neighbor	NOUN
ajst-23620	51	7	is	be	AUX
ajst-23620	51	8	a	a	DET
ajst-23620	51	9	neuron	neuron	NOUN
ajst-23620	51	10	with	with	ADP
ajst-23620	51	11	a	a	DET
ajst-23620	51	12	radius	radius	NOUN
ajst-23620	51	13	of	of	ADP
ajst-23620	51	14	about	about	ADV
ajst-23620	51	15	50	50	NUM
ajst-23620	51	16	μm	μm	NOUN
ajst-23620	51	17	to	to	ADP
ajst-23620	51	18	about	about	ADV
ajst-23620	51	19	500	500	NUM
ajst-23620	51	20	μm	μm	NOUN
ajst-23620	51	21	from	from	ADP
ajst-23620	51	22	the	the	DET
ajst-23620	51	23	center	center	NOUN
ajst-23620	51	24	of	of	ADP
ajst-23620	51	25	the	the	DET
ajst-23620	51	26	neuron	neuron	NOUN
ajst-23620	51	27	that	that	PRON
ajst-23620	51	28	sends	send	VERB
ajst-23620	51	29	the	the	DET
ajst-23620	51	30	signal	signal	NOUN
ajst-23620	51	31	;	;	PUNCT
ajst-23620	51	32	a	a	DET
ajst-23620	51	33	far	far	ADJ
ajst-23620	51	34	neighbor	neighbor	NOUN
ajst-23620	51	35	is	be	AUX
ajst-23620	51	36	a	a	DET
ajst-23620	51	37	neuron	neuron	NOUN
ajst-23620	51	38	with	with	ADP
ajst-23620	51	39	a	a	DET
ajst-23620	51	40	radius	radius	NOUN
ajst-23620	51	41	of	of	ADP
ajst-23620	51	42	about	about	ADV
ajst-23620	51	43	200	200	NUM
ajst-23620	51	44	μm	μm	NOUN
ajst-23620	51	45	to	to	ADP
ajst-23620	51	46	about	about	ADV
ajst-23620	51	47	2	2	NUM
ajst-23620	51	48	mm	mm	NOUN
ajst-23620	51	49	.	.	PUNCT
ajst-23620	52	1	neurons	neuron	NOUN
ajst-23620	52	2	farther	far	ADV
ajst-23620	52	3	away	away	ADV
ajst-23620	52	4	from	from	ADP
ajst-23620	52	5	the	the	DET
ajst-23620	52	6	neurons	neuron	NOUN
ajst-23620	52	7	than	than	ADP
ajst-23620	52	8	the	the	DET
ajst-23620	52	9	distant	distant	ADJ
ajst-23620	52	10	neighbors	neighbor	NOUN
ajst-23620	52	11	show	show	VERB
ajst-23620	52	12	weak	weak	ADJ
ajst-23620	52	13	excitation	excitation	NOUN
ajst-23620	52	14	,	,	PUNCT
ajst-23620	52	15	and	and	CCONJ
ajst-23620	52	16	since	since	SCONJ
ajst-23620	52	17	the	the	DET
ajst-23620	52	18	curve	curve	NOUN
ajst-23620	52	19	of	of	ADP
ajst-23620	52	20	this	this	DET
ajst-23620	52	21	interaction	interaction	NOUN
ajst-23620	52	22	is	be	AUX
ajst-23620	52	23	similar	similar	ADJ
ajst-23620	52	24	to	to	ADP
ajst-23620	52	25	the	the	DET
ajst-23620	52	26	hat	hat	NOUN
ajst-23620	52	27	worn	wear	VERB
ajst-23620	52	28	by	by	ADP
ajst-23620	52	29	mexicans	mexican	NOUN
ajst-23620	52	30	,	,	PUNCT
ajst-23620	52	31	it	it	PRON
ajst-23620	52	32	is	be	AUX
ajst-23620	52	33	also	also	ADV
ajst-23620	52	34	called	call	VERB
ajst-23620	52	35	"	"	PUNCT
ajst-23620	52	36	mexican	mexican	ADJ
ajst-23620	52	37	hat	hat	NOUN
ajst-23620	52	38	"	"	PUNCT
ajst-23620	52	39	.	.	PUNCT
ajst-23620	53	1	som	som	NOUN
ajst-23620	53	2	algorithms	algorithm	NOUN
ajst-23620	53	3	have	have	AUX
ajst-23620	53	4	attracted	attract	VERB
ajst-23620	53	5	a	a	DET
ajst-23620	53	6	lot	lot	NOUN
ajst-23620	53	7	of	of	ADP
ajst-23620	53	8	attention	attention	NOUN
ajst-23620	53	9	for	for	ADP
ajst-23620	53	10	their	their	PRON
ajst-23620	53	11	properties	property	NOUN
ajst-23620	53	12	such	such	ADJ
ajst-23620	53	13	as	as	ADP
ajst-23620	53	14	topology	topology	NOUN
ajst-23620	53	15	preservation	preservation	NOUN
ajst-23620	53	16	,	,	PUNCT
ajst-23620	53	17	probability	probability	NOUN
ajst-23620	53	18	distribution	distribution	NOUN
ajst-23620	53	19	preservation	preservation	NOUN
ajst-23620	53	20	,	,	PUNCT
ajst-23620	53	21	tutorless	tutorless	NOUN
ajst-23620	53	22	learning	learning	NOUN
ajst-23620	53	23	and	and	CCONJ
ajst-23620	53	24	visualization	visualization	NOUN
ajst-23620	53	25	,	,	PUNCT
ajst-23620	53	26	etc	etc	X
ajst-23620	53	27	.	.	X
ajst-23620	53	28	various	various	ADJ
ajst-23620	53	29	researches	research	NOUN
ajst-23620	53	30	on	on	ADP
ajst-23620	53	31	the	the	DET
ajst-23620	53	32	application	application	NOUN
ajst-23620	53	33	of	of	ADP
ajst-23620	53	34	som	som	NOUN
ajst-23620	53	35	algorithms	algorithm	NOUN
ajst-23620	53	36	have	have	AUX
ajst-23620	53	37	been	be	AUX
ajst-23620	53	38	conducted	conduct	VERB
ajst-23620	53	39	,	,	PUNCT
ajst-23620	53	40	and	and	CCONJ
ajst-23620	53	41	various	various	ADJ
ajst-23620	53	42	studies	study	NOUN
ajst-23620	53	43	on	on	ADP
ajst-23620	53	44	the	the	DET
ajst-23620	53	45	application	application	NOUN
ajst-23620	53	46	of	of	ADP
ajst-23620	53	47	som	som	NOUN
ajst-23620	53	48	algorithms	algorithm	NOUN
ajst-23620	53	49	have	have	AUX
ajst-23620	53	50	been	be	AUX
ajst-23620	53	51	conducted	conduct	VERB
ajst-23620	53	52	.	.	PUNCT
ajst-23620	54	1	som	som	NOUN
ajst-23620	54	2	algorithms	algorithm	NOUN
ajst-23620	54	3	have	have	AUX
ajst-23620	54	4	been	be	AUX
ajst-23620	54	5	widely	widely	ADV
ajst-23620	54	6	used	use	VERB
ajst-23620	54	7	in	in	ADP
ajst-23620	54	8	speech	speech	NOUN
ajst-23620	54	9	recognition	recognition	NOUN
ajst-23620	54	10	,	,	PUNCT
ajst-23620	54	11	image	image	NOUN
ajst-23620	54	12	processing	processing	NOUN
ajst-23620	54	13	,	,	PUNCT
ajst-23620	54	14	classification	classification	NOUN
ajst-23620	54	15	and	and	CCONJ
ajst-23620	54	16	clustering	clustering	NOUN
ajst-23620	54	17	,	,	PUNCT
ajst-23620	54	18	combinatorial	combinatorial	ADJ
ajst-23620	54	19	optimization	optimization	NOUN
ajst-23620	54	20	(	(	PUNCT
ajst-23620	54	21	e.g.	e.g.	ADV
ajst-23620	54	22	,	,	PUNCT
ajst-23620	54	23	the	the	DET
ajst-23620	54	24	tsp	tsp	NOUN
ajst-23620	54	25	problem	problem	NOUN
ajst-23620	54	26	)	)	PUNCT
ajst-23620	54	27	,	,	PUNCT
ajst-23620	54	28	data	data	VERB
ajst-23620	54	29	analysis	analysis	NOUN
ajst-23620	54	30	and	and	CCONJ
ajst-23620	54	31	prediction	prediction	NOUN
ajst-23620	54	32	,	,	PUNCT
ajst-23620	54	33	and	and	CCONJ
ajst-23620	54	34	many	many	ADJ
ajst-23620	54	35	other	other	ADJ
ajst-23620	54	36	information	information	NOUN
ajst-23620	54	37	processing	processing	NOUN
ajst-23620	54	38	fields	field	NOUN
ajst-23620	54	39	.	.	PUNCT
ajst-23620	55	1	in	in	ADP
ajst-23620	55	2	short	short	ADJ
ajst-23620	55	3	,	,	PUNCT
ajst-23620	55	4	the	the	DET
ajst-23620	55	5	som	som	NOUN
ajst-23620	55	6	algorithm	algorithm	NOUN
ajst-23620	55	7	has	have	VERB
ajst-23620	55	8	a	a	DET
ajst-23620	55	9	wide	wide	ADJ
ajst-23620	55	10	range	range	NOUN
ajst-23620	55	11	of	of	ADP
ajst-23620	55	12	applications	application	NOUN
ajst-23620	55	13	,	,	PUNCT
ajst-23620	55	14	has	have	VERB
ajst-23620	55	15	a	a	DET
ajst-23620	55	16	better	well	ADJ
ajst-23620	55	17	development	development	NOUN
ajst-23620	55	18	prospect	prospect	NOUN
ajst-23620	55	19	,	,	PUNCT
ajst-23620	55	20	and	and	CCONJ
ajst-23620	55	21	is	be	AUX
ajst-23620	55	22	worthy	worthy	ADJ
ajst-23620	55	23	of	of	ADP
ajst-23620	55	24	further	further	ADJ
ajst-23620	55	25	research.[6	research.[6	X
ajst-23620	55	26	]	]	PUNCT
ajst-23620	55	27	fcm	fcm	X
ajst-23620	55	28	is	be	AUX
ajst-23620	55	29	fuzzy	fuzzy	ADJ
ajst-23620	55	30	c	c	NOUN
ajst-23620	55	31	-	-	PUNCT
ajst-23620	55	32	mean	mean	ADJ
ajst-23620	55	33	clustering	clustering	ADJ
ajst-23620	55	34	algorithm	algorithm	NOUN
ajst-23620	55	35	,	,	PUNCT
ajst-23620	55	36	in	in	ADP
ajst-23620	55	37	many	many	ADJ
ajst-23620	55	38	fuzzy	fuzzy	ADJ
ajst-23620	55	39	clustering	clustering	ADJ
ajst-23620	55	40	algorithms	algorithm	NOUN
ajst-23620	55	41	,	,	PUNCT
ajst-23620	55	42	fcm	fcm	PROPN
ajst-23620	55	43	algorithm	algorithm	NOUN
ajst-23620	55	44	is	be	AUX
ajst-23620	55	45	the	the	DET
ajst-23620	55	46	most	most	ADV
ajst-23620	55	47	widely	widely	ADV
ajst-23620	55	48	used	use	VERB
ajst-23620	55	49	and	and	CCONJ
ajst-23620	55	50	more	more	ADV
ajst-23620	55	51	successful	successful	ADJ
ajst-23620	55	52	,	,	PUNCT
ajst-23620	55	53	it	it	PRON
ajst-23620	55	54	is	be	AUX
ajst-23620	55	55	through	through	ADP
ajst-23620	55	56	the	the	DET
ajst-23620	55	57	optimization	optimization	NOUN
ajst-23620	55	58	of	of	ADP
ajst-23620	55	59	the	the	DET
ajst-23620	55	60	146	146	NUM
ajst-23620	55	61	objective	objective	ADJ
ajst-23620	55	62	function	function	NOUN
ajst-23620	55	63	to	to	PART
ajst-23620	55	64	obtain	obtain	VERB
ajst-23620	55	65	the	the	DET
ajst-23620	55	66	affiliation	affiliation	NOUN
ajst-23620	55	67	of	of	ADP
ajst-23620	55	68	each	each	DET
ajst-23620	55	69	sample	sample	NOUN
ajst-23620	55	70	point	point	NOUN
ajst-23620	55	71	to	to	ADP
ajst-23620	55	72	all	all	DET
ajst-23620	55	73	the	the	DET
ajst-23620	55	74	class	class	NOUN
ajst-23620	55	75	centers	center	NOUN
ajst-23620	55	76	,	,	PUNCT
ajst-23620	55	77	to	to	PART
ajst-23620	55	78	determine	determine	VERB
ajst-23620	55	79	the	the	DET
ajst-23620	55	80	class	class	NOUN
ajst-23620	55	81	of	of	ADP
ajst-23620	55	82	the	the	DET
ajst-23620	55	83	sample	sample	NOUN
ajst-23620	55	84	points	point	VERB
ajst-23620	55	85	to	to	PART
ajst-23620	55	86	achieve	achieve	VERB
ajst-23620	55	87	the	the	DET
ajst-23620	55	88	purpose	purpose	NOUN
ajst-23620	55	89	of	of	ADP
ajst-23620	55	90	automatic	automatic	ADJ
ajst-23620	55	91	classification	classification	NOUN
ajst-23620	55	92	of	of	ADP
ajst-23620	55	93	sample	sample	NOUN
ajst-23620	55	94	data	datum	NOUN
ajst-23620	55	95	.	.	PUNCT
ajst-23620	56	1	the	the	DET
ajst-23620	56	2	idea	idea	NOUN
ajst-23620	56	3	is	be	AUX
ajst-23620	56	4	to	to	PART
ajst-23620	56	5	maximize	maximize	VERB
ajst-23620	56	6	the	the	DET
ajst-23620	56	7	similarity	similarity	NOUN
ajst-23620	56	8	between	between	ADP
ajst-23620	56	9	objects	object	NOUN
ajst-23620	56	10	classified	classify	VERB
ajst-23620	56	11	into	into	ADP
ajst-23620	56	12	the	the	DET
ajst-23620	56	13	same	same	ADJ
ajst-23620	56	14	cluster	cluster	NOUN
ajst-23620	56	15	and	and	CCONJ
ajst-23620	56	16	minimize	minimize	VERB
ajst-23620	56	17	the	the	DET
ajst-23620	56	18	similarity	similarity	NOUN
ajst-23620	56	19	between	between	ADP
ajst-23620	56	20	different	different	ADJ
ajst-23620	56	21	clusters	cluster	NOUN
ajst-23620	56	22	.	.	PUNCT
ajst-23620	57	1	fuzzy	fuzzy	ADJ
ajst-23620	57	2	cmean	cmean	ADJ
ajst-23620	57	3	algorithm	algorithm	NOUN
ajst-23620	57	4	is	be	AUX
ajst-23620	57	5	an	an	DET
ajst-23620	57	6	improvement	improvement	NOUN
ajst-23620	57	7	of	of	ADP
ajst-23620	57	8	the	the	DET
ajst-23620	57	9	ordinary	ordinary	ADJ
ajst-23620	57	10	c	c	NOUN
ajst-23620	57	11	-	-	PUNCT
ajst-23620	57	12	mean	mean	NOUN
ajst-23620	57	13	algorithm	algorithm	NOUN
ajst-23620	57	14	,	,	PUNCT
ajst-23620	57	15	which	which	PRON
ajst-23620	57	16	is	be	AUX
ajst-23620	57	17	hard	hard	ADJ
ajst-23620	57	18	for	for	ADP
ajst-23620	57	19	the	the	DET
ajst-23620	57	20	division	division	NOUN
ajst-23620	57	21	of	of	ADP
ajst-23620	57	22	data	datum	NOUN
ajst-23620	57	23	,	,	PUNCT
ajst-23620	57	24	while	while	SCONJ
ajst-23620	57	25	fcm	fcm	ADV
ajst-23620	57	26	is	be	AUX
ajst-23620	57	27	a	a	DET
ajst-23620	57	28	flexible	flexible	ADJ
ajst-23620	57	29	fuzzy	fuzzy	ADJ
ajst-23620	57	30	division.[7	division.[7	NOUN
ajst-23620	57	31	]	]	X
ajst-23620	57	32	k	k	X
ajst-23620	57	33	-	-	PUNCT
ajst-23620	57	34	means	means	NOUN
ajst-23620	57	35	is	be	AUX
ajst-23620	57	36	a	a	DET
ajst-23620	57	37	cluster	cluster	NOUN
ajst-23620	57	38	analysis	analysis	NOUN
ajst-23620	57	39	algorithm	algorithm	NOUN
ajst-23620	57	40	for	for	ADP
ajst-23620	57	41	iterative	iterative	NOUN
ajst-23620	57	42	solution	solution	NOUN
ajst-23620	57	43	,	,	PUNCT
ajst-23620	57	44	the	the	DET
ajst-23620	57	45	steps	step	NOUN
ajst-23620	57	46	are	be	AUX
ajst-23620	57	47	,	,	PUNCT
ajst-23620	57	48	pre	pre	ADJ
ajst-23620	57	49	-	-	ADJ
ajst-23620	57	50	dividing	divide	VERB
ajst-23620	57	51	the	the	DET
ajst-23620	57	52	data	datum	NOUN
ajst-23620	57	53	into	into	ADP
ajst-23620	57	54	k	k	PROPN
ajst-23620	57	55	groups	group	NOUN
ajst-23620	57	56	,	,	PUNCT
ajst-23620	57	57	then	then	ADV
ajst-23620	57	58	randomly	randomly	ADV
ajst-23620	57	59	selecting	select	VERB
ajst-23620	57	60	k	k	PROPN
ajst-23620	57	61	objects	object	NOUN
ajst-23620	57	62	as	as	ADP
ajst-23620	57	63	the	the	DET
ajst-23620	57	64	initial	initial	ADJ
ajst-23620	57	65	cluster	cluster	NOUN
ajst-23620	57	66	centers	center	NOUN
ajst-23620	57	67	,	,	PUNCT
ajst-23620	57	68	then	then	ADV
ajst-23620	57	69	calculating	calculate	VERB
ajst-23620	57	70	the	the	DET
ajst-23620	57	71	distance	distance	NOUN
ajst-23620	57	72	between	between	ADP
ajst-23620	57	73	each	each	DET
ajst-23620	57	74	object	object	NOUN
ajst-23620	57	75	and	and	CCONJ
ajst-23620	57	76	each	each	DET
ajst-23620	57	77	seed	seed	NOUN
ajst-23620	57	78	cluster	cluster	NOUN
ajst-23620	57	79	center	center	NOUN
ajst-23620	57	80	,	,	PUNCT
ajst-23620	57	81	and	and	CCONJ
ajst-23620	57	82	assigning	assign	VERB
ajst-23620	57	83	each	each	DET
ajst-23620	57	84	object	object	NOUN
ajst-23620	57	85	to	to	ADP
ajst-23620	57	86	the	the	DET
ajst-23620	57	87	cluster	cluster	NOUN
ajst-23620	57	88	center	center	NOUN
ajst-23620	57	89	closest	close	ADJ
ajst-23620	57	90	to	to	ADP
ajst-23620	57	91	it	it	PRON
ajst-23620	57	92	.	.	PUNCT
ajst-23620	58	1	the	the	DET
ajst-23620	58	2	cluster	cluster	NOUN
ajst-23620	58	3	centers	center	NOUN
ajst-23620	58	4	and	and	CCONJ
ajst-23620	58	5	the	the	DET
ajst-23620	58	6	objects	object	NOUN
ajst-23620	58	7	assigned	assign	VERB
ajst-23620	58	8	to	to	ADP
ajst-23620	58	9	them	they	PRON
ajst-23620	58	10	represent	represent	VERB
ajst-23620	58	11	a	a	DET
ajst-23620	58	12	cluster	cluster	NOUN
ajst-23620	58	13	.	.	PUNCT
ajst-23620	59	1	for	for	SCONJ
ajst-23620	59	2	each	each	DET
ajst-23620	59	3	sample	sample	NOUN
ajst-23620	59	4	assigned	assign	VERB
ajst-23620	59	5	,	,	PUNCT
ajst-23620	59	6	the	the	DET
ajst-23620	59	7	cluster	cluster	NOUN
ajst-23620	59	8	centers	center	NOUN
ajst-23620	59	9	of	of	ADP
ajst-23620	59	10	the	the	DET
ajst-23620	59	11	clusters	cluster	NOUN
ajst-23620	59	12	are	be	AUX
ajst-23620	59	13	recalculated	recalculate	VERB
ajst-23620	59	14	based	base	VERB
ajst-23620	59	15	on	on	ADP
ajst-23620	59	16	the	the	DET
ajst-23620	59	17	existing	exist	VERB
ajst-23620	59	18	objects	object	NOUN
ajst-23620	59	19	in	in	ADP
ajst-23620	59	20	the	the	DET
ajst-23620	59	21	cluster	cluster	NOUN
ajst-23620	59	22	.	.	PUNCT
ajst-23620	60	1	this	this	DET
ajst-23620	60	2	process	process	NOUN
ajst-23620	60	3	is	be	AUX
ajst-23620	60	4	repeated	repeat	VERB
ajst-23620	60	5	until	until	SCONJ
ajst-23620	60	6	some	some	DET
ajst-23620	60	7	termination	termination	NOUN
ajst-23620	60	8	condition	condition	NOUN
ajst-23620	60	9	is	be	AUX
ajst-23620	60	10	met	meet	VERB
ajst-23620	60	11	.	.	PUNCT
ajst-23620	61	1	the	the	DET
ajst-23620	61	2	termination	termination	NOUN
ajst-23620	61	3	conditions	condition	NOUN
ajst-23620	61	4	can	can	AUX
ajst-23620	61	5	be	be	AUX
ajst-23620	61	6	that	that	SCONJ
ajst-23620	61	7	no	no	INTJ
ajst-23620	61	8	(	(	PUNCT
ajst-23620	61	9	or	or	CCONJ
ajst-23620	61	10	a	a	DET
ajst-23620	61	11	minimum	minimum	ADJ
ajst-23620	61	12	number	number	NOUN
ajst-23620	61	13	of	of	ADP
ajst-23620	61	14	)	)	PUNCT
ajst-23620	61	15	objects	object	NOUN
ajst-23620	61	16	are	be	AUX
ajst-23620	61	17	reassigned	reassign	VERB
ajst-23620	61	18	to	to	ADP
ajst-23620	61	19	different	different	ADJ
ajst-23620	61	20	clusters	cluster	NOUN
ajst-23620	61	21	,	,	PUNCT
ajst-23620	61	22	no	no	PRON
ajst-23620	61	23	(	(	PUNCT
ajst-23620	61	24	or	or	CCONJ
ajst-23620	61	25	a	a	DET
ajst-23620	61	26	minimum	minimum	ADJ
ajst-23620	61	27	number	number	NOUN
ajst-23620	61	28	of	of	ADP
ajst-23620	61	29	)	)	PUNCT
ajst-23620	61	30	cluster	cluster	NOUN
ajst-23620	61	31	centers	center	NOUN
ajst-23620	61	32	are	be	AUX
ajst-23620	61	33	changed	change	VERB
ajst-23620	61	34	again	again	ADV
ajst-23620	61	35	,	,	PUNCT
ajst-23620	61	36	and	and	CCONJ
ajst-23620	61	37	the	the	DET
ajst-23620	61	38	sum	sum	NOUN
ajst-23620	61	39	of	of	ADP
ajst-23620	61	40	squared	square	VERB
ajst-23620	61	41	errors	error	NOUN
ajst-23620	61	42	is	be	AUX
ajst-23620	61	43	locally	locally	ADV
ajst-23620	61	44	minimized	minimize	VERB
ajst-23620	61	45	.	.	PUNCT
ajst-23620	62	1	based	base	VERB
ajst-23620	62	2	on	on	ADP
ajst-23620	62	3	the	the	DET
ajst-23620	62	4	knn	knn	PROPN
ajst-23620	62	5	algorithm	algorithm	NOUN
ajst-23620	62	6	we	we	PRON
ajst-23620	62	7	can	can	AUX
ajst-23620	62	8	see	see	VERB
ajst-23620	62	9	the	the	DET
ajst-23620	62	10	difference	difference	NOUN
ajst-23620	62	11	between	between	ADP
ajst-23620	62	12	the	the	DET
ajst-23620	62	13	data	datum	NOUN
ajst-23620	62	14	before	before	ADV
ajst-23620	62	15	and	and	CCONJ
ajst-23620	62	16	after	after	ADP
ajst-23620	62	17	processing	processing	NOUN
ajst-23620	62	18	,	,	PUNCT
ajst-23620	62	19	where	where	SCONJ
ajst-23620	62	20	the	the	DET
ajst-23620	62	21	missing	miss	VERB
ajst-23620	62	22	values	value	NOUN
ajst-23620	62	23	have	have	AUX
ajst-23620	62	24	been	be	AUX
ajst-23620	62	25	automatically	automatically	ADV
ajst-23620	62	26	filled	fill	VERB
ajst-23620	62	27	in	in	ADP
ajst-23620	62	28	.	.	PUNCT
ajst-23620	63	1	table	table	NOUN
ajst-23620	63	2	1	1	NUM
ajst-23620	63	3	.	.	PUNCT
ajst-23620	64	1	analogy	analogy	NOUN
ajst-23620	64	2	of	of	ADP
ajst-23620	64	3	different	different	ADJ
ajst-23620	64	4	clustering	clustering	ADJ
ajst-23620	64	5	methods	method	NOUN
ajst-23620	64	6	clustering	cluster	VERB
ajst-23620	64	7	method	method	NOUN
ajst-23620	64	8	algorithm	algorithm	NOUN
ajst-23620	64	9	name	name	NOUN
ajst-23620	64	10	merits	merit	VERB
ajst-23620	64	11	drawbacks	drawback	NOUN
ajst-23620	64	12	hierarchical	hierarchical	ADJ
ajst-23620	64	13	clustering	clustering	NOUN
ajst-23620	64	14	birch	birch	NOUN
ajst-23620	64	15	good	good	ADJ
ajst-23620	64	16	interpretability	interpretability	NOUN
ajst-23620	64	17	high	high	ADJ
ajst-23620	64	18	time	time	NOUN
ajst-23620	64	19	complexity	complexity	NOUN
ajst-23620	64	20	density	density	NOUN
ajst-23620	64	21	clustering	cluster	VERB
ajst-23620	64	22	dbscan	dbscan	NOUN
ajst-23620	64	23	fast	fast	ADV
ajst-23620	64	24	,	,	PUNCT
ajst-23620	64	25	insensitive	insensitive	ADJ
ajst-23620	64	26	to	to	ADP
ajst-23620	64	27	noise	noise	NOUN
ajst-23620	64	28	,	,	PUNCT
ajst-23620	64	29	and	and	CCONJ
ajst-23620	64	30	can	can	AUX
ajst-23620	64	31	find	find	VERB
ajst-23620	64	32	clusters	cluster	NOUN
ajst-23620	64	33	of	of	ADP
ajst-23620	64	34	arbitrary	arbitrary	ADJ
ajst-23620	64	35	shapes	shape	NOUN
ajst-23620	64	36	.	.	PUNCT
ajst-23620	65	1	parameters	parameter	NOUN
ajst-23620	65	2	are	be	AUX
ajst-23620	65	3	difficult	difficult	ADJ
ajst-23620	65	4	to	to	PART
ajst-23620	65	5	control	control	VERB
ajst-23620	65	6	and	and	CCONJ
ajst-23620	65	7	have	have	VERB
ajst-23620	65	8	a	a	DET
ajst-23620	65	9	large	large	ADJ
ajst-23620	65	10	impact	impact	NOUN
ajst-23620	65	11	on	on	ADP
ajst-23620	65	12	the	the	DET
ajst-23620	65	13	clustering	clustering	ADJ
ajst-23620	65	14	effect	effect	NOUN
ajst-23620	65	15	network	network	NOUN
ajst-23620	65	16	clustering	cluster	VERB
ajst-23620	65	17	sting	ste	VERB
ajst-23620	65	18	fast	fast	ADJ
ajst-23620	65	19	parameter	parameter	NOUN
ajst-23620	65	20	sensitive	sensitive	ADJ
ajst-23620	65	21	,	,	PUNCT
ajst-23620	65	22	ca	can	AUX
ajst-23620	65	23	n't	not	PART
ajst-23620	65	24	handle	handle	VERB
ajst-23620	65	25	irregularly	irregularly	ADV
ajst-23620	65	26	distributed	distribute	VERB
ajst-23620	65	27	data	datum	NOUN
ajst-23620	65	28	,	,	PUNCT
ajst-23620	65	29	dimensionality	dimensionality	NOUN
ajst-23620	65	30	disaster	disaster	NOUN
ajst-23620	65	31	model	model	NOUN
ajst-23620	65	32	clustering	cluster	VERB
ajst-23620	65	33	som	som	NOUN
ajst-23620	65	34	in	in	ADP
ajst-23620	65	35	the	the	DET
ajst-23620	65	36	form	form	NOUN
ajst-23620	65	37	of	of	ADP
ajst-23620	65	38	a	a	DET
ajst-23620	65	39	probability	probability	NOUN
ajst-23620	65	40	inefficient	inefficient	ADJ
ajst-23620	65	41	execution	execution	NOUN
ajst-23620	65	42	,	,	PUNCT
ajst-23620	65	43	especially	especially	ADV
ajst-23620	65	44	when	when	SCONJ
ajst-23620	65	45	the	the	DET
ajst-23620	65	46	number	number	NOUN
ajst-23620	65	47	of	of	ADP
ajst-23620	65	48	distributions	distribution	NOUN
ajst-23620	65	49	is	be	AUX
ajst-23620	65	50	large	large	ADJ
ajst-23620	65	51	and	and	CCONJ
ajst-23620	65	52	the	the	DET
ajst-23620	65	53	amount	amount	NOUN
ajst-23620	65	54	of	of	ADP
ajst-23620	65	55	data	datum	NOUN
ajst-23620	65	56	is	be	AUX
ajst-23620	65	57	small	small	ADJ
ajst-23620	65	58	fuzzy	fuzzy	ADJ
ajst-23620	65	59	clustering	clustering	NOUN
ajst-23620	65	60	fcm	fcm	X
ajst-23620	65	61	works	work	VERB
ajst-23620	65	62	well	well	ADV
ajst-23620	65	63	for	for	ADP
ajst-23620	65	64	clustering	clustering	ADJ
ajst-23620	65	65	data	datum	NOUN
ajst-23620	65	66	that	that	PRON
ajst-23620	65	67	satisfies	satisfy	VERB
ajst-23620	65	68	a	a	DET
ajst-23620	65	69	normal	normal	ADJ
ajst-23620	65	70	distribution	distribution	NOUN
ajst-23620	65	71	the	the	DET
ajst-23620	65	72	performance	performance	NOUN
ajst-23620	65	73	of	of	ADP
ajst-23620	65	74	the	the	DET
ajst-23620	65	75	algorithm	algorithm	NOUN
ajst-23620	65	76	depends	depend	VERB
ajst-23620	65	77	on	on	ADP
ajst-23620	65	78	the	the	DET
ajst-23620	65	79	initial	initial	ADJ
ajst-23620	65	80	clustering	clustering	ADJ
ajst-23620	65	81	center	center	NOUN
ajst-23620	65	82	partition	partition	NOUN
ajst-23620	65	83	partitioning	partition	VERB
ajst-23620	65	84	k	k	PROPN
ajst-23620	65	85	-	-	PUNCT
ajst-23620	65	86	means	mean	VERB
ajst-23620	65	87	simple	simple	ADJ
ajst-23620	65	88	and	and	CCONJ
ajst-23620	65	89	efficient	efficient	ADJ
ajst-23620	65	90	for	for	ADP
ajst-23620	65	91	large	large	ADJ
ajst-23620	65	92	datasets	dataset	NOUN
ajst-23620	65	93	,	,	PUNCT
ajst-23620	65	94	low	low	ADJ
ajst-23620	65	95	time	time	NOUN
ajst-23620	65	96	complexity	complexity	NOUN
ajst-23620	65	97	and	and	CCONJ
ajst-23620	65	98	space	space	NOUN
ajst-23620	65	99	complexity	complexity	NOUN
ajst-23620	65	100	sensitive	sensitive	ADJ
ajst-23620	65	101	to	to	ADP
ajst-23620	65	102	noise	noise	NOUN
ajst-23620	65	103	and	and	CCONJ
ajst-23620	65	104	outliers	outlier	NOUN
ajst-23620	65	105	comparing	compare	VERB
ajst-23620	65	106	the	the	DET
ajst-23620	65	107	advantages	advantage	NOUN
ajst-23620	65	108	and	and	CCONJ
ajst-23620	65	109	disadvantages	disadvantage	NOUN
ajst-23620	65	110	of	of	ADP
ajst-23620	65	111	different	different	ADJ
ajst-23620	65	112	clustering	clustering	ADJ
ajst-23620	65	113	algorithms	algorithm	NOUN
ajst-23620	65	114	,	,	PUNCT
ajst-23620	65	115	k	k	NOUN
ajst-23620	65	116	-	-	PUNCT
ajst-23620	65	117	means	means	NOUN
ajst-23620	65	118	algorithm	algorithm	NOUN
ajst-23620	65	119	is	be	AUX
ajst-23620	65	120	selected	select	VERB
ajst-23620	65	121	for	for	ADP
ajst-23620	65	122	clustering	cluster	VERB
ajst-23620	65	123	analysis	analysis	NOUN
ajst-23620	65	124	in	in	ADP
ajst-23620	65	125	this	this	DET
ajst-23620	65	126	study	study	NOUN
ajst-23620	65	127	,	,	PUNCT
ajst-23620	65	128	which	which	PRON
ajst-23620	65	129	has	have	VERB
ajst-23620	65	130	the	the	DET
ajst-23620	65	131	advantages	advantage	NOUN
ajst-23620	65	132	of	of	ADP
ajst-23620	65	133	simplicity	simplicity	NOUN
ajst-23620	65	134	and	and	CCONJ
ajst-23620	65	135	efficiency	efficiency	NOUN
ajst-23620	65	136	,	,	PUNCT
ajst-23620	65	137	low	low	ADJ
ajst-23620	65	138	time	time	NOUN
ajst-23620	65	139	and	and	CCONJ
ajst-23620	65	140	space	space	NOUN
ajst-23620	65	141	complexity	complexity	NOUN
ajst-23620	65	142	,	,	PUNCT
ajst-23620	65	143	and	and	CCONJ
ajst-23620	65	144	the	the	DET
ajst-23620	65	145	number	number	NOUN
ajst-23620	65	146	of	of	ADP
ajst-23620	65	147	clusters	cluster	NOUN
ajst-23620	65	148	can	can	AUX
ajst-23620	65	149	be	be	AUX
ajst-23620	65	150	formulated	formulate	VERB
ajst-23620	65	151	according	accord	VERB
ajst-23620	65	152	to	to	ADP
ajst-23620	65	153	the	the	DET
ajst-23620	65	154	needs	need	NOUN
ajst-23620	65	155	of	of	ADP
ajst-23620	65	156	the	the	DET
ajst-23620	65	157	clusters	cluster	NOUN
ajst-23620	65	158	,	,	PUNCT
ajst-23620	65	159	with	with	ADP
ajst-23620	65	160	the	the	DET
ajst-23620	65	161	highest	high	ADJ
ajst-23620	65	162	analytical	analytical	ADJ
ajst-23620	65	163	efficiency	efficiency	NOUN
ajst-23620	65	164	.	.	PUNCT
ajst-23620	66	1	3	3	X
ajst-23620	66	2	.	.	X
ajst-23620	66	3	clustering	cluster	VERB
ajst-23620	66	4	results	result	NOUN
ajst-23620	66	5	k	k	NOUN
ajst-23620	66	6	-	-	PUNCT
ajst-23620	66	7	means	means	NOUN
ajst-23620	66	8	clustering	clustering	NOUN
ajst-23620	66	9	is	be	AUX
ajst-23620	66	10	an	an	DET
ajst-23620	66	11	unsupervised	unsupervised	ADJ
ajst-23620	66	12	learning	learning	NOUN
ajst-23620	66	13	algorithm	algorithm	NOUN
ajst-23620	66	14	that	that	PRON
ajst-23620	66	15	divides	divide	VERB
ajst-23620	66	16	a	a	DET
ajst-23620	66	17	dataset	dataset	NOUN
ajst-23620	66	18	into	into	ADP
ajst-23620	66	19	k	k	PROPN
ajst-23620	66	20	clusters	cluster	NOUN
ajst-23620	66	21	,	,	PUNCT
ajst-23620	66	22	and	and	CCONJ
ajst-23620	66	23	the	the	DET
ajst-23620	66	24	process	process	NOUN
ajst-23620	66	25	includes	include	VERB
ajst-23620	66	26	selecting	select	VERB
ajst-23620	66	27	the	the	DET
ajst-23620	66	28	number	number	NOUN
ajst-23620	66	29	of	of	ADP
ajst-23620	66	30	clusters	cluster	NOUN
ajst-23620	66	31	k	k	X
ajst-23620	66	32	,	,	PUNCT
ajst-23620	66	33	randomly	randomly	ADV
ajst-23620	66	34	initializing	initialize	VERB
ajst-23620	66	35	k	k	PROPN
ajst-23620	66	36	cluster	cluster	NOUN
ajst-23620	66	37	centers	center	NOUN
ajst-23620	66	38	,	,	PUNCT
ajst-23620	66	39	assigning	assign	VERB
ajst-23620	66	40	data	datum	NOUN
ajst-23620	66	41	points	point	NOUN
ajst-23620	66	42	to	to	ADP
ajst-23620	66	43	the	the	DET
ajst-23620	66	44	nearest	near	ADJ
ajst-23620	66	45	cluster	cluster	NOUN
ajst-23620	66	46	based	base	VERB
ajst-23620	66	47	on	on	ADP
ajst-23620	66	48	their	their	PRON
ajst-23620	66	49	distances	distance	NOUN
ajst-23620	66	50	from	from	ADP
ajst-23620	66	51	the	the	DET
ajst-23620	66	52	cluster	cluster	NOUN
ajst-23620	66	53	centers	center	NOUN
ajst-23620	66	54	,	,	PUNCT
ajst-23620	66	55	updating	update	VERB
ajst-23620	66	56	the	the	DET
ajst-23620	66	57	cluster	cluster	NOUN
ajst-23620	66	58	centers	center	NOUN
ajst-23620	66	59	to	to	PART
ajst-23620	66	60	be	be	AUX
ajst-23620	66	61	the	the	DET
ajst-23620	66	62	mean	mean	ADJ
ajst-23620	66	63	value	value	NOUN
ajst-23620	66	64	of	of	ADP
ajst-23620	66	65	the	the	DET
ajst-23620	66	66	data	data	NOUN
ajst-23620	66	67	points	point	NOUN
ajst-23620	66	68	in	in	ADP
ajst-23620	66	69	the	the	DET
ajst-23620	66	70	cluster	cluster	NOUN
ajst-23620	66	71	and	and	CCONJ
ajst-23620	66	72	iterating	iterate	VERB
ajst-23620	66	73	the	the	DET
ajst-23620	66	74	above	above	ADJ
ajst-23620	66	75	steps	step	NOUN
ajst-23620	66	76	repeatedly	repeatedly	ADV
ajst-23620	66	77	until	until	SCONJ
ajst-23620	66	78	the	the	DET
ajst-23620	66	79	cluster	cluster	NOUN
ajst-23620	66	80	centers	center	NOUN
ajst-23620	66	81	are	be	AUX
ajst-23620	66	82	no	no	ADV
ajst-23620	66	83	longer	long	ADV
ajst-23620	66	84	changing	change	VERB
ajst-23620	66	85	significantly	significantly	ADV
ajst-23620	66	86	or	or	CCONJ
ajst-23620	66	87	until	until	SCONJ
ajst-23620	66	88	a	a	DET
ajst-23620	66	89	preset	preset	ADJ
ajst-23620	66	90	number	number	NOUN
ajst-23620	66	91	of	of	ADP
ajst-23620	66	92	iterations	iteration	NOUN
ajst-23620	66	93	are	be	AUX
ajst-23620	66	94	reached	reach	VERB
ajst-23620	66	95	to	to	PART
ajst-23620	66	96	minimize	minimize	VERB
ajst-23620	66	97	the	the	DET
ajst-23620	66	98	sum	sum	NOUN
ajst-23620	66	99	of	of	ADP
ajst-23620	66	100	squared	squared	ADJ
ajst-23620	66	101	distances	distance	NOUN
ajst-23620	66	102	of	of	ADP
ajst-23620	66	103	data	datum	NOUN
ajst-23620	66	104	points	point	NOUN
ajst-23620	66	105	to	to	ADP
ajst-23620	66	106	their	their	PRON
ajst-23620	66	107	cluster	cluster	NOUN
ajst-23620	66	108	centers	center	NOUN
ajst-23620	66	109	.	.	PUNCT
ajst-23620	67	1	points	point	VERB
ajst-23620	67	2	to	to	ADP
ajst-23620	67	3	the	the	DET
ajst-23620	67	4	sum	sum	NOUN
ajst-23620	67	5	of	of	ADP
ajst-23620	67	6	squares	square	NOUN
ajst-23620	67	7	of	of	ADP
ajst-23620	67	8	the	the	DET
ajst-23620	67	9	distances	distance	NOUN
ajst-23620	67	10	from	from	ADP
ajst-23620	67	11	the	the	DET
ajst-23620	67	12	cluster	cluster	NOUN
ajst-23620	67	13	centers	center	NOUN
ajst-23620	67	14	to	to	PART
ajst-23620	67	15	which	which	PRON
ajst-23620	67	16	they	they	PRON
ajst-23620	67	17	belong	belong	VERB
ajst-23620	67	18	.	.	PUNCT
ajst-23620	68	1	in	in	ADP
ajst-23620	68	2	this	this	DET
ajst-23620	68	3	study	study	NOUN
ajst-23620	68	4	,	,	PUNCT
ajst-23620	68	5	the	the	DET
ajst-23620	68	6	k	k	NOUN
ajst-23620	68	7	-	-	PUNCT
ajst-23620	68	8	means	mean	VERB
ajst-23620	68	9	clustering	clustering	NOUN
ajst-23620	68	10	method	method	NOUN
ajst-23620	68	11	was	be	AUX
ajst-23620	68	12	used	use	VERB
ajst-23620	68	13	to	to	PART
ajst-23620	68	14	build	build	VERB
ajst-23620	68	15	a	a	DET
ajst-23620	68	16	cluster	cluster	NOUN
ajst-23620	68	17	analysis	analysis	NOUN
ajst-23620	68	18	machine	machine	NOUN
ajst-23620	68	19	learning	learning	NOUN
ajst-23620	68	20	model	model	NOUN
ajst-23620	68	21	based	base	VERB
ajst-23620	68	22	on	on	ADP
ajst-23620	68	23	historical	historical	ADJ
ajst-23620	68	24	yield	yield	NOUN
ajst-23620	68	25	data	datum	NOUN
ajst-23620	68	26	.	.	PUNCT
ajst-23620	69	1			NOUN
ajst-23620	69	2			PUNCT
ajst-23620	69	3			NOUN
ajst-23620	69	4	2	2	NOUN
ajst-23620	69	5	1	1	NUM
ajst-23620	69	6	,	,	PUNCT
ajst-23620	69	7	n	n	CCONJ
ajst-23620	70	1	i	i	PRON
ajst-23620	70	2	j	j	PROPN
ajst-23620	70	3	i	i	PRON
ajst-23620	70	4	m	m	VERB
ajst-23620	70	5	jm	jm	PROPN
ajst-23620	70	6	m	m	PROPN
ajst-23620	70	7	d	d	NOUN
ajst-23620	70	8	x	x	X
ajst-23620	70	9	x	x	NUM
ajst-23620	70	10			NOUN
ajst-23620	70	11			NOUN
ajst-23620	70	12			NUM
ajst-23620	71	1			X
ajst-23620	71	2	(	(	PUNCT
ajst-23620	71	3	1	1	NUM
ajst-23620	71	4	)	)	PUNCT
ajst-23620	71	5	1	1	NUM
ajst-23620	72	1	i	i	PRON
ajst-23620	72	2	j	j	PROPN
ajst-23620	73	1	j	j	INTJ
ajst-23620	73	2	i	i	INTJ
ajst-23620	73	3	x	x	X
ajst-23620	73	4	cj	cj	NOUN
ajst-23620	73	5	x	x	PUNCT
ajst-23620	73	6	c	c	NOUN
ajst-23620	73	7			NOUN
ajst-23620	73	8			NOUN
ajst-23620	73	9			ADV
ajst-23620	73	10			X
ajst-23620	73	11	(	(	PUNCT
ajst-23620	73	12	2	2	NUM
ajst-23620	73	13	)	)	PUNCT
ajst-23620	73	14	2	2	NUM
ajst-23620	73	15	1	1	NUM
ajst-23620	74	1	i	i	PRON
ajst-23620	74	2	j	j	PROPN
ajst-23620	75	1	k	k	INTJ
ajst-23620	76	1	i	i	PRON
ajst-23620	76	2	j	j	PROPN
ajst-23620	77	1	j	j	NOUN
ajst-23620	77	2	x	x	X
ajst-23620	77	3	c	c	PROPN
ajst-23620	77	4	j	j	PROPN
ajst-23620	77	5	x	x	X
ajst-23620	77	6			NOUN
ajst-23620	77	7			NUM
ajst-23620	77	8			NOUN
ajst-23620	77	9			NUM
ajst-23620	77	10			NOUN
ajst-23620	77	11			X
ajst-23620	77	12	(	(	PUNCT
ajst-23620	77	13	3	3	NUM
ajst-23620	77	14	)	)	PUNCT
ajst-23620	77	15	based	base	VERB
ajst-23620	77	16	on	on	ADP
ajst-23620	77	17	the	the	DET
ajst-23620	77	18	kmeans	kmean	NOUN
ajst-23620	77	19	clustering	cluster	VERB
ajst-23620	77	20	algorithm	algorithm	NOUN
ajst-23620	77	21	,	,	PUNCT
ajst-23620	77	22	after	after	ADP
ajst-23620	77	23	taking	take	VERB
ajst-23620	77	24	the	the	DET
ajst-23620	77	25	daily	daily	ADJ
ajst-23620	77	26	gas	gas	NOUN
ajst-23620	77	27	production	production	NOUN
ajst-23620	77	28	,	,	PUNCT
ajst-23620	77	29	unimpeded	unimpeded	ADJ
ajst-23620	77	30	flow	flow	NOUN
ajst-23620	77	31	rate	rate	NOUN
ajst-23620	77	32	,	,	PUNCT
ajst-23620	77	33	dynamic	dynamic	ADJ
ajst-23620	77	34	reserves	reserve	NOUN
ajst-23620	77	35	,	,	PUNCT
ajst-23620	77	36	depth	depth	NOUN
ajst-23620	77	37	of	of	ADP
ajst-23620	77	38	the	the	DET
ajst-23620	77	39	middle	middle	ADJ
ajst-23620	77	40	part	part	NOUN
ajst-23620	77	41	of	of	ADP
ajst-23620	77	42	the	the	DET
ajst-23620	77	43	producing	produce	VERB
ajst-23620	77	44	layer	layer	NOUN
ajst-23620	77	45	,	,	PUNCT
ajst-23620	77	46	annual	annual	ADJ
ajst-23620	77	47	gas	gas	NOUN
ajst-23620	77	48	recovery	recovery	NOUN
ajst-23620	77	49	,	,	PUNCT
ajst-23620	77	50	open	open	ADJ
ajst-23620	77	51	well	well	INTJ
ajst-23620	77	52	oil	oil	NOUN
ajst-23620	77	53	pressure	pressure	NOUN
ajst-23620	77	54	,	,	PUNCT
ajst-23620	77	55	and	and	CCONJ
ajst-23620	77	56	water	water	NOUN
ajst-23620	77	57	/	/	SYM
ajst-23620	77	58	gas	gas	NOUN
ajst-23620	77	59	ratio	ratio	NOUN
ajst-23620	77	60	of	of	ADP
ajst-23620	77	61	each	each	DET
ajst-23620	77	62	well	well	ADV
ajst-23620	77	63	as	as	ADP
ajst-23620	77	64	the	the	DET
ajst-23620	77	65	final	final	ADJ
ajst-23620	77	66	classification	classification	NOUN
ajst-23620	77	67	indexes	index	NOUN
ajst-23620	77	68	for	for	ADP
ajst-23620	77	69	grading	grade	VERB
ajst-23620	77	70	,	,	PUNCT
ajst-23620	77	71	the	the	DET
ajst-23620	77	72	results	result	NOUN
ajst-23620	77	73	of	of	ADP
ajst-23620	77	74	the	the	DET
ajst-23620	77	75	classification	classification	NOUN
ajst-23620	77	76	results	result	NOUN
ajst-23620	77	77	of	of	ADP
ajst-23620	77	78	the	the	DET
ajst-23620	77	79	gas	gas	NOUN
ajst-23620	77	80	wells	well	NOUN
ajst-23620	77	81	of	of	ADP
ajst-23620	77	82	the	the	DET
ajst-23620	77	83	gaomolengdeng	gaomolengdeng	PROPN
ajst-23620	77	84	si	si	PROPN
ajst-23620	77	85	reservoir	reservoir	PROPN
ajst-23620	77	86	obtained	obtain	VERB
ajst-23620	77	87	after	after	ADP
ajst-23620	77	88	the	the	DET
ajst-23620	77	89	clustering	clustering	ADJ
ajst-23620	77	90	analysis	analysis	NOUN
ajst-23620	77	91	are	be	AUX
ajst-23620	77	92	as	as	SCONJ
ajst-23620	77	93	follows	follow	VERB
ajst-23620	77	94	according	accord	VERB
ajst-23620	77	95	to	to	ADP
ajst-23620	77	96	the	the	DET
ajst-23620	77	97	clustering	clustering	ADJ
ajst-23620	77	98	results	result	NOUN
ajst-23620	77	99	,	,	PUNCT
ajst-23620	77	100	the	the	DET
ajst-23620	77	101	summarized	summarize	VERB
ajst-23620	77	102	three	three	NUM
ajst-23620	77	103	categories	category	NOUN
ajst-23620	77	104	of	of	ADP
ajst-23620	77	105	wells	well	NOUN
ajst-23620	77	106	have	have	VERB
ajst-23620	77	107	the	the	DET
ajst-23620	77	108	following	follow	VERB
ajst-23620	77	109	characteristics	characteristic	NOUN
ajst-23620	77	110	:	:	PUNCT
ajst-23620	77	111	class	class	NOUN
ajst-23620	77	112	ⅰ	ⅰ	PROPN
ajst-23620	77	113	wells	well	NOUN
ajst-23620	77	114	:	:	PUNCT
ajst-23620	77	115	due	due	ADP
ajst-23620	77	116	to	to	ADP
ajst-23620	77	117	its	its	PRON
ajst-23620	77	118	high	high	ADJ
ajst-23620	77	119	daily	daily	ADJ
ajst-23620	77	120	gas	gas	NOUN
ajst-23620	77	121	production	production	NOUN
ajst-23620	77	122	,	,	PUNCT
ajst-23620	77	123	large	large	ADJ
ajst-23620	77	124	unimpeded	unimpeded	ADJ
ajst-23620	77	125	flow	flow	NOUN
ajst-23620	77	126	rate	rate	NOUN
ajst-23620	77	127	,	,	PUNCT
ajst-23620	77	128	high	high	ADJ
ajst-23620	77	129	dynamic	dynamic	ADJ
ajst-23620	77	130	reserves	reserve	NOUN
ajst-23620	77	131	and	and	CCONJ
ajst-23620	77	132	open	open	VERB
ajst-23620	77	133	well	well	INTJ
ajst-23620	77	134	oil	oil	NOUN
ajst-23620	77	135	pressure	pressure	NOUN
ajst-23620	77	136	,	,	PUNCT
ajst-23620	77	137	combined	combine	VERB
ajst-23620	77	138	with	with	ADP
ajst-23620	77	139	the	the	DET
ajst-23620	77	140	study	study	NOUN
ajst-23620	77	141	of	of	ADP
ajst-23620	77	142	stable	stable	ADJ
ajst-23620	77	143	production	production	NOUN
ajst-23620	77	144	influencing	influence	VERB
ajst-23620	77	145	factors	factor	NOUN
ajst-23620	77	146	in	in	ADP
ajst-23620	77	147	the	the	DET
ajst-23620	77	148	results	result	NOUN
ajst-23620	77	149	iv	iv	ADP
ajst-23620	77	150	,	,	PUNCT
ajst-23620	77	151	it	it	PRON
ajst-23620	77	152	has	have	VERB
ajst-23620	77	153	a	a	DET
ajst-23620	77	154	strong	strong	ADJ
ajst-23620	77	155	ability	ability	NOUN
ajst-23620	77	156	to	to	PART
ajst-23620	77	157	stabilize	stabilize	VERB
ajst-23620	77	158	production	production	NOUN
ajst-23620	77	159	,	,	PUNCT
ajst-23620	77	160	and	and	CCONJ
ajst-23620	77	161	it	it	PRON
ajst-23620	77	162	can	can	AUX
ajst-23620	77	163	be	be	AUX
ajst-23620	77	164	preferred	prefer	VERB
ajst-23620	77	165	as	as	ADP
ajst-23620	77	166	a	a	DET
ajst-23620	77	167	mediumto	mediumto	NOUN
ajst-23620	77	168	long	long	ADJ
ajst-23620	77	169	-	-	PUNCT
ajst-23620	77	170	term	term	NOUN
ajst-23620	77	171	peaking	peaking	NOUN
ajst-23620	77	172	and	and	CCONJ
ajst-23620	77	173	guaranteeing	guarantee	VERB
ajst-23620	77	174	supply	supply	NOUN
ajst-23620	77	175	well	well	ADV
ajst-23620	77	176	.	.	PUNCT
ajst-23620	78	1	class	class	NOUN
ajst-23620	78	2	ii	ii	PROPN
ajst-23620	78	3	wells	well	NOUN
ajst-23620	78	4	:	:	PUNCT
ajst-23620	78	5	with	with	ADP
ajst-23620	78	6	high	high	ADJ
ajst-23620	78	7	daily	daily	ADJ
ajst-23620	78	8	gas	gas	NOUN
ajst-23620	78	9	production	production	NOUN
ajst-23620	78	10	,	,	PUNCT
ajst-23620	78	11	large	large	ADJ
ajst-23620	78	12	unimpeded	unimpeded	ADJ
ajst-23620	78	13	flow	flow	NOUN
ajst-23620	78	14	rate	rate	NOUN
ajst-23620	78	15	,	,	PUNCT
ajst-23620	78	16	high	high	ADJ
ajst-23620	78	17	dynamic	dynamic	ADJ
ajst-23620	78	18	reserve	reserve	NOUN
ajst-23620	78	19	and	and	CCONJ
ajst-23620	78	20	open	open	VERB
ajst-23620	78	21	hole	hole	NOUN
ajst-23620	78	22	oil	oil	NOUN
ajst-23620	78	23	pressure	pressure	NOUN
ajst-23620	78	24	,	,	PUNCT
ajst-23620	78	25	and	and	CCONJ
ajst-23620	78	26	strong	strong	ADJ
ajst-23620	78	27	stable	stable	ADJ
ajst-23620	78	28	production	production	NOUN
ajst-23620	78	29	capacity	capacity	NOUN
ajst-23620	78	30	,	,	PUNCT
ajst-23620	78	31	these	these	DET
ajst-23620	78	32	wells	well	NOUN
ajst-23620	78	33	can	can	AUX
ajst-23620	78	34	be	be	AUX
ajst-23620	78	35	preferred	prefer	VERB
ajst-23620	78	36	as	as	ADP
ajst-23620	78	37	short	short	ADJ
ajst-23620	78	38	-	-	PUNCT
ajst-23620	78	39	term	term	NOUN
ajst-23620	78	40	peak	peak	NOUN
ajst-23620	78	41	-	-	PUNCT
ajst-23620	78	42	peaking	peak	VERB
ajst-23620	78	43	supply	supply	NOUN
ajst-23620	78	44	wells	well	NOUN
ajst-23620	78	45	.	.	PUNCT
ajst-23620	79	1	class	class	NOUN
ajst-23620	79	2	iii	iii	NUM
ajst-23620	79	3	wells	wells	PROPN
ajst-23620	79	4	:	:	PUNCT
ajst-23620	79	5	with	with	ADP
ajst-23620	79	6	low	low	ADJ
ajst-23620	79	7	daily	daily	ADJ
ajst-23620	79	8	gas	gas	NOUN
ajst-23620	79	9	production	production	NOUN
ajst-23620	79	10	,	,	PUNCT
ajst-23620	79	11	small	small	ADJ
ajst-23620	79	12	nonresistance	nonresistance	NOUN
ajst-23620	79	13	flow	flow	NOUN
ajst-23620	79	14	rate	rate	NOUN
ajst-23620	79	15	,	,	PUNCT
ajst-23620	79	16	low	low	ADJ
ajst-23620	79	17	dynamic	dynamic	ADJ
ajst-23620	79	18	reserve	reserve	NOUN
ajst-23620	79	19	and	and	CCONJ
ajst-23620	79	20	open	open	VERB
ajst-23620	79	21	well	well	INTJ
ajst-23620	79	22	oil	oil	NOUN
ajst-23620	79	23	pressure	pressure	NOUN
ajst-23620	79	24	,	,	PUNCT
ajst-23620	79	25	combined	combine	VERB
ajst-23620	79	26	with	with	ADP
ajst-23620	79	27	the	the	DET
ajst-23620	79	28	study	study	NOUN
ajst-23620	79	29	of	of	ADP
ajst-23620	79	30	factors	factor	NOUN
ajst-23620	79	31	affecting	affect	VERB
ajst-23620	79	32	production	production	NOUN
ajst-23620	79	33	stabilization	stabilization	NOUN
ajst-23620	79	34	in	in	ADP
ajst-23620	79	35	result	result	NOUN
ajst-23620	79	36	4	4	NUM
ajst-23620	79	37	,	,	PUNCT
ajst-23620	79	38	their	their	PRON
ajst-23620	79	39	production	production	NOUN
ajst-23620	79	40	stabilization	stabilization	NOUN
ajst-23620	79	41	capacity	capacity	NOUN
ajst-23620	79	42	is	be	AUX
ajst-23620	79	43	weak	weak	ADJ
ajst-23620	79	44	,	,	PUNCT
ajst-23620	79	45	and	and	CCONJ
ajst-23620	79	46	they	they	PRON
ajst-23620	79	47	can	can	AUX
ajst-23620	79	48	be	be	AUX
ajst-23620	79	49	used	use	VERB
ajst-23620	79	50	as	as	ADP
ajst-23620	79	51	auxiliary	auxiliary	ADJ
ajst-23620	79	52	wells	well	NOUN
ajst-23620	79	53	for	for	ADP
ajst-23620	79	54	peak	peak	NOUN
ajst-23620	79	55	shifting	shift	VERB
ajst-23620	79	56	and	and	CCONJ
ajst-23620	79	57	supply	supply	NOUN
ajst-23620	79	58	maintenance	maintenance	NOUN
ajst-23620	79	59	,	,	PUNCT
ajst-23620	79	60	and	and	CCONJ
ajst-23620	79	61	appropriately	appropriately	ADV
ajst-23620	79	62	adjusted	adjust	VERB
ajst-23620	79	63	downward	downward	ADV
ajst-23620	79	64	to	to	PART
ajst-23620	79	65	prolong	prolong	VERB
ajst-23620	79	66	the	the	DET
ajst-23620	79	67	time	time	NOUN
ajst-23620	79	68	of	of	ADP
ajst-23620	79	69	production	production	NOUN
ajst-23620	79	70	stabilization	stabilization	NOUN
ajst-23620	79	71	after	after	ADP
ajst-23620	79	72	the	the	DET
ajst-23620	79	73	end	end	NOUN
ajst-23620	79	74	of	of	ADP
ajst-23620	79	75	peak	peak	NOUN
ajst-23620	79	76	shifting	shift	VERB
ajst-23620	79	77	and	and	CCONJ
ajst-23620	79	78	supply	supply	NOUN
ajst-23620	79	79	maintenance	maintenance	NOUN
ajst-23620	79	80	.	.	PUNCT
ajst-23620	80	1	147	147	NUM
ajst-23620	80	2	table	table	NOUN
ajst-23620	80	3	2	2	NUM
ajst-23620	80	4	.	.	PUNCT
ajst-23620	81	1	capacity	capacity	NOUN
ajst-23620	81	2	clustering	cluster	VERB
ajst-23620	81	3	results	result	NOUN
ajst-23620	81	4	well	well	ADV
ajst-23620	81	5	daily	daily	ADJ
ajst-23620	81	6	gas	gas	NOUN
ajst-23620	81	7	production	production	NOUN
ajst-23620	81	8	(	(	PUNCT
ajst-23620	81	9	million	million	NUM
ajst-23620	81	10	cubic	cubic	ADJ
ajst-23620	81	11	meters	meter	NOUN
ajst-23620	81	12	per	per	ADP
ajst-23620	81	13	day	day	NOUN
ajst-23620	81	14	)	)	PUNCT
ajst-23620	81	15	unimpeded	unimpeded	ADJ
ajst-23620	81	16	flow	flow	NOUN
ajst-23620	81	17	(	(	PUNCT
ajst-23620	81	18	million	million	NUM
ajst-23620	81	19	cubic	cubic	ADJ
ajst-23620	81	20	meters	meter	NOUN
ajst-23620	81	21	per	per	ADP
ajst-23620	81	22	day	day	NOUN
ajst-23620	81	23	)	)	PUNCT
ajst-23620	81	24	open	open	ADJ
ajst-23620	81	25	well	well	INTJ
ajst-23620	81	26	oil	oil	NOUN
ajst-23620	81	27	pressure	pressure	NOUN
ajst-23620	81	28	(	(	PUNCT
ajst-23620	81	29	mpa	mpa	NOUN
ajst-23620	81	30	)	)	PUNCT
ajst-23620	81	31	water	water	NOUN
ajst-23620	81	32	-	-	PUNCT
ajst-23620	81	33	to	to	ADP
ajst-23620	81	34	-	-	PUNCT
ajst-23620	81	35	gas	gas	NOUN
ajst-23620	81	36	ratio	ratio	NOUN
ajst-23620	81	37	(	(	PUNCT
ajst-23620	81	38	square	square	ADJ
ajst-23620	81	39	/	/	SYM
ajst-23620	81	40	million	million	NUM
ajst-23620	81	41	cubic	cubic	ADJ
ajst-23620	81	42	meters	meter	NOUN
ajst-23620	81	43	)	)	PUNCT
ajst-23620	81	44	wells	well	NOUN
ajst-23620	81	45	well-1	well-1	ADP
ajst-23620	81	46	13.27	13.27	NUM
ajst-23620	81	47	76.09	76.09	NUM
ajst-23620	81	48	17.66	17.66	NUM
ajst-23620	81	49	0.16	0.16	NUM
ajst-23620	81	50	ⅰ	ⅰ	X
ajst-23620	81	51	well-2	well-2	NUM
ajst-23620	81	52	37.50	37.50	NUM
ajst-23620	81	53	123.83	123.83	NUM
ajst-23620	81	54	30.88	30.88	NUM
ajst-23620	81	55	0.16	0.16	NUM
ajst-23620	81	56	ⅰ	ⅰ	NOUN
ajst-23620	81	57	well-3	well-3	NUM
ajst-23620	81	58	36.86	36.86	NUM
ajst-23620	81	59	160.78	160.78	NUM
ajst-23620	81	60	27.81	27.81	NUM
ajst-23620	81	61	0.16	0.16	NUM
ajst-23620	81	62	ⅰ	ⅰ	X
ajst-23620	81	63	well-4	well-4	NUM
ajst-23620	81	64	30.21	30.21	NUM
ajst-23620	81	65	127.20	127.20	NUM
ajst-23620	81	66	34.54	34.54	NUM
ajst-23620	81	67	0.16	0.16	NUM
ajst-23620	81	68	ⅰ	ⅰ	PROPN
ajst-23620	81	69	well-5	well-5	PROPN
ajst-23620	81	70	35.11	35.11	NUM
ajst-23620	81	71	133.95	133.95	NUM
ajst-23620	81	72	35.31	35.31	NUM
ajst-23620	81	73	0.16	0.16	NUM
ajst-23620	81	74	ⅰ	ⅰ	PROPN
ajst-23620	81	75	well-6	well-6	NUM
ajst-23620	81	76	13.70	13.70	NUM
ajst-23620	81	77	94.53	94.53	NUM
ajst-23620	81	78	19.13	19.13	NUM
ajst-23620	81	79	0.16	0.16	NUM
ajst-23620	81	80	ⅰ	ⅰ	PROPN
ajst-23620	81	81	well-7	well-7	NUM
ajst-23620	81	82	25.46	25.46	NUM
ajst-23620	81	83	73.91	73.91	NUM
ajst-23620	81	84	22.29	22.29	NUM
ajst-23620	81	85	0.11	0.11	NUM
ajst-23620	81	86	ⅰ	ⅰ	PROPN
ajst-23620	81	87	well-8	well-8	NUM
ajst-23620	81	88	36.98	36.98	NUM
ajst-23620	81	89	89.77	89.77	NUM
ajst-23620	81	90	31.43	31.43	NUM
ajst-23620	81	91	0.16	0.16	NUM
ajst-23620	81	92	ⅰ	ⅰ	X
ajst-23620	81	93	well-9	well-9	NUM
ajst-23620	81	94	24.93	24.93	NUM
ajst-23620	81	95	135.89	135.89	NUM
ajst-23620	81	96	30.54	30.54	NUM
ajst-23620	81	97	0.16	0.16	NUM
ajst-23620	81	98	ⅰ	ⅰ	NOUN
ajst-23620	81	99	well10	well10	NOUN
ajst-23620	81	100	13.19	13.19	NUM
ajst-23620	81	101	30.41	30.41	NUM
ajst-23620	81	102	33.01	33.01	NUM
ajst-23620	81	103	0.16	0.16	NUM
ajst-23620	81	104	ⅲ	ⅲ	PROPN
ajst-23620	81	105	well11	well11	VERB
ajst-23620	81	106	14.49	14.49	NUM
ajst-23620	81	107	39.05	39.05	NUM
ajst-23620	81	108	33.14	33.14	NUM
ajst-23620	82	1	0.16	0.16	NUM
ajst-23620	82	2	ⅲ	ⅲ	ADJ
ajst-23620	82	3	well12	well12	NOUN
ajst-23620	82	4	9.37	9.37	NUM
ajst-23620	82	5	13.96	13.96	NUM
ajst-23620	82	6	11.11	11.11	NUM
ajst-23620	82	7	0.16	0.16	NUM
ajst-23620	82	8	ⅲ	ⅲ	ADJ
ajst-23620	82	9	well13	well13	NOUN
ajst-23620	82	10	19.90	19.90	NUM
ajst-23620	82	11	48.67	48.67	NUM
ajst-23620	82	12	26.23	26.23	NUM
ajst-23620	82	13	0.16	0.16	NUM
ajst-23620	82	14	ⅲ	ⅲ	PROPN
ajst-23620	82	15	well14	well14	VERB
ajst-23620	82	16	14.29	14.29	NUM
ajst-23620	82	17	43.65	43.65	NUM
ajst-23620	82	18	12.89	12.89	NUM
ajst-23620	83	1	0.16	0.16	NUM
ajst-23620	83	2	ⅲ	ⅲ	ADJ
ajst-23620	83	3	well15	well15	NOUN
ajst-23620	83	4	19.72	19.72	NUM
ajst-23620	83	5	44.01	44.01	NUM
ajst-23620	83	6	24.18	24.18	NUM
ajst-23620	83	7	0.16	0.16	NUM
ajst-23620	83	8	ⅲ	ⅲ	PROPN
ajst-23620	83	9	4	4	NUM
ajst-23620	83	10	.	.	PUNCT
ajst-23620	83	11	conclusion	conclusion	NOUN
ajst-23620	83	12	and	and	CCONJ
ajst-23620	83	13	outlook	outlook	NOUN
ajst-23620	83	14	in	in	ADP
ajst-23620	83	15	this	this	DET
ajst-23620	83	16	study	study	NOUN
ajst-23620	83	17	,	,	PUNCT
ajst-23620	83	18	we	we	PRON
ajst-23620	83	19	applied	apply	VERB
ajst-23620	83	20	the	the	DET
ajst-23620	83	21	k	k	NOUN
ajst-23620	83	22	-	-	PUNCT
ajst-23620	83	23	means	mean	VERB
ajst-23620	83	24	clustering	clustering	NOUN
ajst-23620	83	25	method	method	NOUN
ajst-23620	83	26	to	to	PART
ajst-23620	83	27	establish	establish	VERB
ajst-23620	83	28	a	a	DET
ajst-23620	83	29	cluster	cluster	NOUN
ajst-23620	83	30	analysis	analysis	NOUN
ajst-23620	83	31	model	model	NOUN
ajst-23620	83	32	based	base	VERB
ajst-23620	83	33	on	on	ADP
ajst-23620	83	34	historical	historical	ADJ
ajst-23620	83	35	production	production	NOUN
ajst-23620	83	36	data	datum	NOUN
ajst-23620	83	37	after	after	ADP
ajst-23620	83	38	comparing	compare	VERB
ajst-23620	83	39	various	various	ADJ
ajst-23620	83	40	clustering	clustering	ADJ
ajst-23620	83	41	methods	method	NOUN
ajst-23620	83	42	in	in	ADP
ajst-23620	83	43	machine	machine	NOUN
ajst-23620	83	44	learning	learning	NOUN
ajst-23620	83	45	.	.	PUNCT
ajst-23620	84	1	through	through	ADP
ajst-23620	84	2	this	this	DET
ajst-23620	84	3	method	method	NOUN
ajst-23620	84	4	,	,	PUNCT
ajst-23620	84	5	we	we	PRON
ajst-23620	84	6	can	can	AUX
ajst-23620	84	7	effectively	effectively	ADV
ajst-23620	84	8	categorize	categorize	VERB
ajst-23620	84	9	and	and	CCONJ
ajst-23620	84	10	evaluate	evaluate	VERB
ajst-23620	84	11	the	the	DET
ajst-23620	84	12	production	production	NOUN
ajst-23620	84	13	capacity	capacity	NOUN
ajst-23620	84	14	of	of	ADP
ajst-23620	84	15	gas	gas	NOUN
ajst-23620	84	16	wells	well	NOUN
ajst-23620	84	17	,	,	PUNCT
ajst-23620	84	18	thus	thus	ADV
ajst-23620	84	19	providing	provide	VERB
ajst-23620	84	20	a	a	DET
ajst-23620	84	21	scientific	scientific	ADJ
ajst-23620	84	22	basis	basis	NOUN
ajst-23620	84	23	for	for	ADP
ajst-23620	84	24	the	the	DET
ajst-23620	84	25	development	development	NOUN
ajst-23620	84	26	and	and	CCONJ
ajst-23620	84	27	management	management	NOUN
ajst-23620	84	28	of	of	ADP
ajst-23620	84	29	gas	gas	NOUN
ajst-23620	84	30	reservoirs	reservoir	NOUN
ajst-23620	84	31	.	.	PUNCT
ajst-23620	85	1	the	the	DET
ajst-23620	85	2	results	result	NOUN
ajst-23620	85	3	of	of	ADP
ajst-23620	85	4	the	the	DET
ajst-23620	85	5	study	study	NOUN
ajst-23620	85	6	show	show	VERB
ajst-23620	85	7	that	that	SCONJ
ajst-23620	85	8	the	the	DET
ajst-23620	85	9	established	establish	VERB
ajst-23620	85	10	cluster	cluster	NOUN
ajst-23620	85	11	analysis	analysis	NOUN
ajst-23620	85	12	model	model	NOUN
ajst-23620	85	13	reaches	reach	VERB
ajst-23620	85	14	0.9	0.9	NUM
ajst-23620	85	15	in	in	ADP
ajst-23620	85	16	terms	term	NOUN
ajst-23620	85	17	of	of	ADP
ajst-23620	85	18	accuracy	accuracy	NOUN
ajst-23620	85	19	,	,	PUNCT
ajst-23620	85	20	which	which	PRON
ajst-23620	85	21	indicates	indicate	VERB
ajst-23620	85	22	that	that	SCONJ
ajst-23620	85	23	the	the	DET
ajst-23620	85	24	method	method	NOUN
ajst-23620	85	25	has	have	VERB
ajst-23620	85	26	high	high	ADJ
ajst-23620	85	27	reliability	reliability	NOUN
ajst-23620	85	28	and	and	CCONJ
ajst-23620	85	29	practicability	practicability	NOUN
ajst-23620	85	30	in	in	ADP
ajst-23620	85	31	identifying	identify	VERB
ajst-23620	85	32	and	and	CCONJ
ajst-23620	85	33	classifying	classify	VERB
ajst-23620	85	34	the	the	DET
ajst-23620	85	35	production	production	NOUN
ajst-23620	85	36	capacity	capacity	NOUN
ajst-23620	85	37	characteristics	characteristic	NOUN
ajst-23620	85	38	of	of	ADP
ajst-23620	85	39	gas	gas	NOUN
ajst-23620	85	40	wells	well	NOUN
ajst-23620	85	41	.	.	PUNCT
ajst-23620	86	1	through	through	ADP
ajst-23620	86	2	differentiated	differentiated	ADJ
ajst-23620	86	3	management	management	NOUN
ajst-23620	86	4	of	of	ADP
ajst-23620	86	5	gas	gas	NOUN
ajst-23620	86	6	wells	well	NOUN
ajst-23620	86	7	with	with	ADP
ajst-23620	86	8	different	different	ADJ
ajst-23620	86	9	clusters	cluster	NOUN
ajst-23620	86	10	,	,	PUNCT
ajst-23620	86	11	resource	resource	NOUN
ajst-23620	86	12	allocation	allocation	NOUN
ajst-23620	86	13	can	can	AUX
ajst-23620	86	14	be	be	AUX
ajst-23620	86	15	optimized	optimize	VERB
ajst-23620	86	16	and	and	CCONJ
ajst-23620	86	17	production	production	NOUN
ajst-23620	86	18	efficiency	efficiency	NOUN
ajst-23620	86	19	can	can	AUX
ajst-23620	86	20	be	be	AUX
ajst-23620	86	21	improved	improve	VERB
ajst-23620	86	22	,	,	PUNCT
ajst-23620	86	23	thus	thus	ADV
ajst-23620	86	24	promoting	promote	VERB
ajst-23620	86	25	the	the	DET
ajst-23620	86	26	scientific	scientific	ADJ
ajst-23620	86	27	,	,	PUNCT
ajst-23620	86	28	efficient	efficient	ADJ
ajst-23620	86	29	and	and	CCONJ
ajst-23620	86	30	sustainable	sustainable	ADJ
ajst-23620	86	31	development	development	NOUN
ajst-23620	86	32	of	of	ADP
ajst-23620	86	33	gas	gas	NOUN
ajst-23620	86	34	reservoirs	reservoir	NOUN
ajst-23620	86	35	.	.	PUNCT
ajst-23620	87	1	looking	look	VERB
ajst-23620	87	2	ahead	ahead	ADV
ajst-23620	87	3	,	,	PUNCT
ajst-23620	87	4	further	further	ADJ
ajst-23620	87	5	research	research	NOUN
ajst-23620	87	6	can	can	AUX
ajst-23620	87	7	be	be	AUX
ajst-23620	87	8	carried	carry	VERB
ajst-23620	87	9	out	out	ADP
ajst-23620	87	10	in	in	ADP
ajst-23620	87	11	the	the	DET
ajst-23620	87	12	following	follow	VERB
ajst-23620	87	13	aspects	aspect	NOUN
ajst-23620	87	14	:	:	PUNCT
ajst-23620	87	15	first	first	ADJ
ajst-23620	87	16	,	,	PUNCT
ajst-23620	87	17	more	more	ADJ
ajst-23620	87	18	feature	feature	NOUN
ajst-23620	87	19	variables	variable	NOUN
ajst-23620	87	20	and	and	CCONJ
ajst-23620	87	21	data	datum	NOUN
ajst-23620	87	22	sources	source	NOUN
ajst-23620	87	23	can	can	AUX
ajst-23620	87	24	be	be	AUX
ajst-23620	87	25	explored	explore	VERB
ajst-23620	87	26	to	to	PART
ajst-23620	87	27	improve	improve	VERB
ajst-23620	87	28	the	the	DET
ajst-23620	87	29	accuracy	accuracy	NOUN
ajst-23620	87	30	and	and	CCONJ
ajst-23620	87	31	robustness	robustness	NOUN
ajst-23620	87	32	of	of	ADP
ajst-23620	87	33	the	the	DET
ajst-23620	87	34	model	model	NOUN
ajst-23620	87	35	;	;	PUNCT
ajst-23620	87	36	second	second	ADJ
ajst-23620	87	37	,	,	PUNCT
ajst-23620	87	38	other	other	ADJ
ajst-23620	87	39	machine	machine	NOUN
ajst-23620	87	40	learning	learn	VERB
ajst-23620	87	41	algorithms	algorithm	NOUN
ajst-23620	87	42	,	,	PUNCT
ajst-23620	87	43	such	such	ADJ
ajst-23620	87	44	as	as	ADP
ajst-23620	87	45	hierarchical	hierarchical	ADJ
ajst-23620	87	46	clustering	clustering	NOUN
ajst-23620	87	47	or	or	CCONJ
ajst-23620	87	48	dbscan	dbscan	NOUN
ajst-23620	87	49	,	,	PUNCT
ajst-23620	87	50	can	can	AUX
ajst-23620	87	51	be	be	AUX
ajst-23620	87	52	combined	combine	VERB
ajst-23620	87	53	in	in	ADP
ajst-23620	87	54	order	order	NOUN
ajst-23620	87	55	to	to	PART
ajst-23620	87	56	compare	compare	VERB
ajst-23620	87	57	and	and	CCONJ
ajst-23620	87	58	analyze	analyze	VERB
ajst-23620	87	59	the	the	DET
ajst-23620	87	60	effects	effect	NOUN
ajst-23620	87	61	of	of	ADP
ajst-23620	87	62	different	different	ADJ
ajst-23620	87	63	algorithms	algorithm	NOUN
ajst-23620	87	64	;	;	PUNCT
ajst-23620	87	65	finally	finally	ADV
ajst-23620	87	66	,	,	PUNCT
ajst-23620	87	67	the	the	DET
ajst-23620	87	68	research	research	NOUN
ajst-23620	87	69	results	result	NOUN
ajst-23620	87	70	can	can	AUX
ajst-23620	87	71	be	be	AUX
ajst-23620	87	72	applied	apply	VERB
ajst-23620	87	73	to	to	ADP
ajst-23620	87	74	the	the	DET
ajst-23620	87	75	development	development	NOUN
ajst-23620	87	76	and	and	CCONJ
ajst-23620	87	77	management	management	NOUN
ajst-23620	87	78	of	of	ADP
ajst-23620	87	79	other	other	ADJ
ajst-23620	87	80	unconventional	unconventional	ADJ
ajst-23620	87	81	natural	natural	ADJ
ajst-23620	87	82	gas	gas	NOUN
ajst-23620	87	83	resources	resource	NOUN
ajst-23620	87	84	in	in	ADP
ajst-23620	87	85	order	order	NOUN
ajst-23620	87	86	to	to	PART
ajst-23620	87	87	validate	validate	VERB
ajst-23620	87	88	the	the	DET
ajst-23620	87	89	broad	broad	ADJ
ajst-23620	87	90	applicability	applicability	NOUN
ajst-23620	87	91	and	and	CCONJ
ajst-23620	87	92	practical	practical	ADJ
ajst-23620	87	93	value	value	NOUN
ajst-23620	87	94	of	of	ADP
ajst-23620	87	95	the	the	DET
ajst-23620	87	96	method	method	NOUN
ajst-23620	87	97	.	.	PUNCT
ajst-23620	88	1	through	through	ADP
ajst-23620	88	2	continuous	continuous	ADJ
ajst-23620	88	3	research	research	NOUN
ajst-23620	88	4	and	and	CCONJ
ajst-23620	88	5	optimization	optimization	NOUN
ajst-23620	88	6	,	,	PUNCT
ajst-23620	88	7	the	the	DET
ajst-23620	88	8	k	k	NOUN
ajst-23620	88	9	-	-	PUNCT
ajst-23620	88	10	means	mean	VERB
ajst-23620	88	11	clustering	clustering	NOUN
ajst-23620	88	12	method	method	NOUN
ajst-23620	88	13	is	be	AUX
ajst-23620	88	14	expected	expect	VERB
ajst-23620	88	15	to	to	PART
ajst-23620	88	16	play	play	VERB
ajst-23620	88	17	a	a	DET
ajst-23620	88	18	greater	great	ADJ
ajst-23620	88	19	role	role	NOUN
ajst-23620	88	20	in	in	ADP
ajst-23620	88	21	the	the	DET
ajst-23620	88	22	development	development	NOUN
ajst-23620	88	23	of	of	ADP
ajst-23620	88	24	unconventional	unconventional	ADJ
ajst-23620	88	25	energy	energy	NOUN
ajst-23620	88	26	resources	resource	NOUN
ajst-23620	88	27	and	and	CCONJ
ajst-23620	88	28	provide	provide	VERB
ajst-23620	88	29	more	more	ADV
ajst-23620	88	30	reliable	reliable	ADJ
ajst-23620	88	31	technical	technical	ADJ
ajst-23620	88	32	support	support	NOUN
ajst-23620	88	33	for	for	ADP
ajst-23620	88	34	the	the	DET
ajst-23620	88	35	sustainable	sustainable	ADJ
ajst-23620	88	36	development	development	NOUN
ajst-23620	88	37	of	of	ADP
ajst-23620	88	38	the	the	DET
ajst-23620	88	39	energy	energy	NOUN
ajst-23620	88	40	industry	industry	NOUN
ajst-23620	88	41	.	.	PUNCT
ajst-23620	89	1	references	reference	NOUN
ajst-23620	89	2	[	[	X
ajst-23620	89	3	1	1	NUM
ajst-23620	89	4	]	]	PUNCT
ajst-23620	89	5	ricco	ricco	PROPN
ajst-23620	89	6	aj	aj	PROPN
ajst-23620	89	7	,	,	PUNCT
ajst-23620	89	8	crooks	crooks	PROPN
ajst-23620	89	9	rm	rm	PROPN
ajst-23620	89	10	,	,	PUNCT
ajst-23620	89	11	osbourn	osbourn	PROPN
ajst-23620	89	12	gc	gc	PROPN
ajst-23620	89	13	.	.	PROPN
ajst-23620	89	14	surface	surface	PROPN
ajst-23620	89	15	acoustic	acoustic	ADJ
ajst-23620	89	16	wave	wave	NOUN
ajst-23620	89	17	chemical	chemical	NOUN
ajst-23620	89	18	sensor	sensor	NOUN
ajst-23620	89	19	arrays	array	VERB
ajst-23620	89	20	:	:	PUNCT
ajst-23620	89	21	new	new	ADJ
ajst-23620	89	22	chemically	chemically	ADV
ajst-23620	89	23	sensitive	sensitive	ADJ
ajst-23620	89	24	interfaces	interface	NOUN
ajst-23620	89	25	combined	combine	VERB
ajst-23620	89	26	with	with	ADP
ajst-23620	89	27	novel	novel	ADJ
ajst-23620	89	28	cluster	cluster	NOUN
ajst-23620	89	29	analysis	analysis	NOUN
ajst-23620	89	30	to	to	PART
ajst-23620	89	31	detect	detect	VERB
ajst-23620	89	32	volatile	volatile	ADJ
ajst-23620	89	33	organic	organic	ADJ
ajst-23620	89	34	compounds	compound	NOUN
ajst-23620	89	35	and	and	CCONJ
ajst-23620	89	36	mixtures[j	mixtures[j	NOUN
ajst-23620	89	37	]	]	PUNCT
ajst-23620	89	38	,	,	PUNCT
ajst-23620	89	39	1998	1998	NUM
ajst-23620	89	40	.	.	PUNCT
ajst-23620	90	1	[	[	X
ajst-23620	90	2	2	2	NUM
ajst-23620	90	3	]	]	PUNCT
ajst-23620	90	4	villegas	villegas	PROPN
ajst-23620	90	5	r	r	PROPN
ajst-23620	90	6	,	,	PUNCT
ajst-23620	90	7	salim	salim	NOUN
ajst-23620	90	8	a	a	PROPN
ajst-23620	90	9	,	,	PUNCT
ajst-23620	90	10	collins	collins	PROPN
ajst-23620	90	11	m	m	PROPN
ajst-23620	90	12	,	,	PUNCT
ajst-23620	90	13	.	.	PUNCT
ajst-23620	91	1	dietary	dietary	ADJ
ajst-23620	91	2	patterns	pattern	NOUN
ajst-23620	91	3	in	in	ADP
ajst-23620	91	4	middleaged	middleaged	ADJ
ajst-23620	91	5	irish	irish	ADJ
ajst-23620	91	6	men	man	NOUN
ajst-23620	91	7	and	and	CCONJ
ajst-23620	91	8	women	woman	NOUN
ajst-23620	91	9	defined	define	VERB
ajst-23620	91	10	by	by	ADP
ajst-23620	91	11	cluster	cluster	NOUN
ajst-23620	91	12	analysis[j	analysis[j	PROPN
ajst-23620	91	13	]	]	PUNCT
ajst-23620	91	14	,	,	PUNCT
ajst-23620	91	15	2004	2004	NUM
ajst-23620	91	16	.	.	PUNCT
ajst-23620	92	1	[	[	X
ajst-23620	92	2	3	3	NUM
ajst-23620	92	3	]	]	X
ajst-23620	92	4	camargo	camargo	PROPN
ajst-23620	92	5	,	,	PUNCT
ajst-23620	92	6	suzana	suzana	PROPN
ajst-23620	92	7	j	j	PROPN
ajst-23620	92	8	,	,	PUNCT
ajst-23620	92	9	robertson	robertson	PROPN
ajst-23620	92	10	,	,	PUNCT
ajst-23620	92	11	.	.	PUNCT
ajst-23620	93	1	cluster	cluster	NOUN
ajst-23620	93	2	analysis	analysis	NOUN
ajst-23620	93	3	of	of	ADP
ajst-23620	93	4	typhoon	typhoon	NOUN
ajst-23620	93	5	tracks	track	NOUN
ajst-23620	93	6	.	.	PUNCT
ajst-23620	94	1	part	part	NOUN
ajst-23620	94	2	ii	ii	PROPN
ajst-23620	94	3	:	:	PUNCT
ajst-23620	94	4	large	large	ADJ
ajst-23620	94	5	-	-	PUNCT
ajst-23620	94	6	scale	scale	NOUN
ajst-23620	94	7	circulation	circulation	NOUN
ajst-23620	94	8	and	and	CCONJ
ajst-23620	94	9	enso	enso	PROPN
ajst-23620	94	10	.	.	PUNCT
ajst-23620	95	1	[	[	X
ajst-23620	95	2	j	j	X
ajst-23620	95	3	]	]	X
ajst-23620	95	4	,	,	PUNCT
ajst-23620	95	5	2007	2007	NUM
ajst-23620	95	6	.	.	PUNCT
ajst-23620	96	1	[	[	X
ajst-23620	96	2	4	4	NUM
ajst-23620	96	3	]	]	X
ajst-23620	96	4	houser	houser	PROPN
ajst-23620	96	5	c	c	PROPN
ajst-23620	96	6	,	,	PUNCT
ajst-23620	96	7	masters	master	NOUN
ajst-23620	96	8	g	g	PROPN
ajst-23620	96	9	,	,	PUNCT
ajst-23620	96	10	shearer	shearer	PROPN
ajst-23620	96	11	p	p	PROPN
ajst-23620	96	12	,	,	PUNCT
ajst-23620	96	13	.	.	PUNCT
ajst-23620	97	1	shear	shear	NOUN
ajst-23620	97	2	and	and	CCONJ
ajst-23620	97	3	compressional	compressional	ADJ
ajst-23620	97	4	velocity	velocity	NOUN
ajst-23620	97	5	models	model	NOUN
ajst-23620	97	6	of	of	ADP
ajst-23620	97	7	the	the	DET
ajst-23620	97	8	mantle	mantle	NOUN
ajst-23620	97	9	from	from	ADP
ajst-23620	97	10	cluster	cluster	NOUN
ajst-23620	97	11	analysis	analysis	NOUN
ajst-23620	97	12	of	of	ADP
ajst-23620	97	13	longperiod	longperiod	ADJ
ajst-23620	97	14	waveforms[j	waveforms[j	PROPN
ajst-23620	97	15	]	]	PROPN
ajst-23620	97	16	,	,	PUNCT
ajst-23620	97	17	2010	2010	NUM
ajst-23620	97	18	.	.	PUNCT
ajst-23620	98	1	[	[	X
ajst-23620	98	2	5	5	NUM
ajst-23620	98	3	]	]	X
ajst-23620	98	4	zanchi	zanchi	X
ajst-23620	98	5	am	be	AUX
ajst-23620	98	6	.	.	PUNCT
ajst-23620	99	1	artificial	artificial	ADJ
ajst-23620	99	2	neural	neural	ADJ
ajst-23620	99	3	networks	network	NOUN
ajst-23620	99	4	and	and	CCONJ
ajst-23620	99	5	cluster	cluster	NOUN
ajst-23620	99	6	analysis	analysis	NOUN
ajst-23620	99	7	in	in	ADP
ajst-23620	99	8	landslide	landslide	NOUN
ajst-23620	99	9	susceptibility	susceptibility	NOUN
ajst-23620	99	10	zonation[j	zonation[j	PROPN
ajst-23620	99	11	]	]	PUNCT
ajst-23620	99	12	.	.	PUNCT
ajst-23620	100	1	[	[	X
ajst-23620	100	2	6	6	NUM
ajst-23620	100	3	]	]	PUNCT
ajst-23620	100	4	mouridsen	mouridsen	PROPN
ajst-23620	100	5	k	k	PROPN
ajst-23620	100	6	,	,	PUNCT
ajst-23620	100	7	christensen	christensen	PROPN
ajst-23620	100	8	s	s	PROPN
ajst-23620	100	9	,	,	PUNCT
ajst-23620	100	10	gyldensted	gyldenste	VERB
ajst-23620	100	11	l	l	NOUN
ajst-23620	100	12	,	,	PUNCT
ajst-23620	100	13	.	.	PUNCT
ajst-23620	101	1	automatic	automatic	ADJ
ajst-23620	101	2	selection	selection	NOUN
ajst-23620	101	3	of	of	ADP
ajst-23620	101	4	arterial	arterial	ADJ
ajst-23620	101	5	input	input	NOUN
ajst-23620	101	6	function	function	NOUN
ajst-23620	101	7	using	use	VERB
ajst-23620	101	8	cluster	cluster	NOUN
ajst-23620	101	9	analysis[j	analysis[j	PROPN
ajst-23620	101	10	]	]	PUNCT
ajst-23620	101	11	,	,	PUNCT
ajst-23620	101	12	2010	2010	NUM
ajst-23620	101	13	.	.	PUNCT
ajst-23620	102	1	[	[	X
ajst-23620	102	2	7	7	X
ajst-23620	102	3	]	]	SYM
ajst-23620	102	4	hu	hu	PROPN
ajst-23620	103	1	f	f	PROPN
ajst-23620	103	2	,	,	PUNCT
ajst-23620	103	3	hao	hao	PROPN
ajst-23620	103	4	q	q	PROPN
ajst-23620	103	5	,	,	PUNCT
ajst-23620	103	6	bao	bao	PROPN
ajst-23620	103	7	k.	k.	PROPN
ajst-23620	104	1	a	a	DET
ajst-23620	104	2	survey	survey	NOUN
ajst-23620	104	3	on	on	ADP
ajst-23620	104	4	software	software	NOUN
ajst-23620	104	5	-	-	PUNCT
ajst-23620	104	6	defined	define	VERB
ajst-23620	104	7	network	network	NOUN
ajst-23620	104	8	and	and	CCONJ
ajst-23620	104	9	openflow	openflow	ADJ
ajst-23620	104	10	:	:	PUNCT
ajst-23620	104	11	from	from	ADP
ajst-23620	104	12	concept	concept	NOUN
ajst-23620	104	13	to	to	ADP
ajst-23620	104	14	implementation[j	implementation[j	PROPN
ajst-23620	104	15	]	]	X
ajst-23620	104	16	,	,	PUNCT
ajst-23620	104	17	2014	2014	NUM
ajst-23620	104	18	.	.	PUNCT