id	sid	tid	token	lemma	pos
ajst-15458	1	1	academic	academic	ADJ
ajst-15458	1	2	journal	journal	NOUN
ajst-15458	1	3	of	of	ADP
ajst-15458	1	4	science	science	NOUN
ajst-15458	1	5	and	and	CCONJ
ajst-15458	1	6	technology	technology	NOUN
ajst-15458	1	7	issn	issn	NOUN
ajst-15458	1	8	:	:	PUNCT
ajst-15458	1	9	2771	2771	NUM
ajst-15458	1	10	-	-	SYM
ajst-15458	1	11	3032	3032	NUM
ajst-15458	1	12	|	|	NOUN
ajst-15458	1	13	vol	vol	NOUN
ajst-15458	1	14	.	.	PROPN
ajst-15458	1	15	8	8	NUM
ajst-15458	1	16	,	,	PUNCT
ajst-15458	1	17	no	no	INTJ
ajst-15458	1	18	.	.	NOUN
ajst-15458	1	19	3	3	NUM
ajst-15458	1	20	,	,	PUNCT
ajst-15458	1	21	2023	2023	NUM
ajst-15458	1	22	74	74	NUM
ajst-15458	1	23	construction	construction	NOUN
ajst-15458	1	24	of	of	ADP
ajst-15458	1	25	objective	objective	ADJ
ajst-15458	1	26	segmentation	segmentation	NOUN
ajst-15458	1	27	model	model	NOUN
ajst-15458	1	28	of	of	ADP
ajst-15458	1	29	automobile	automobile	NOUN
ajst-15458	1	30	users	user	NOUN
ajst-15458	1	31	based	base	VERB
ajst-15458	1	32	on	on	ADP
ajst-15458	1	33	unsupervised	unsupervised	ADJ
ajst-15458	1	34	learning	learn	VERB
ajst-15458	1	35	ziyi	ziyi	PROPN
ajst-15458	1	36	chen	chen	PROPN
ajst-15458	1	37	,	,	PUNCT
ajst-15458	1	38	decheng	decheng	PROPN
ajst-15458	1	39	liu	liu	PROPN
ajst-15458	1	40	and	and	CCONJ
ajst-15458	1	41	tiantian	tiantian	PROPN
ajst-15458	1	42	wan	wan	PROPN
ajst-15458	1	43	china	china	PROPN
ajst-15458	1	44	auto	auto	PROPN
ajst-15458	1	45	information	information	NOUN
ajst-15458	1	46	technology	technology	NOUN
ajst-15458	1	47	(	(	PUNCT
ajst-15458	1	48	tianjin	tianjin	PROPN
ajst-15458	1	49	)	)	PUNCT
ajst-15458	1	50	co.	co.	PROPN
ajst-15458	1	51	,ltd	,ltd	PROPN
ajst-15458	1	52	,	,	PUNCT
ajst-15458	1	53	china	china	PROPN
ajst-15458	1	54	abstract	abstract	PROPN
ajst-15458	1	55	:	:	PUNCT
ajst-15458	1	56	with	with	ADP
ajst-15458	1	57	the	the	DET
ajst-15458	1	58	rapid	rapid	ADJ
ajst-15458	1	59	development	development	NOUN
ajst-15458	1	60	of	of	ADP
ajst-15458	1	61	new	new	ADJ
ajst-15458	1	62	energy	energy	NOUN
ajst-15458	1	63	vehicles	vehicle	NOUN
ajst-15458	1	64	and	and	CCONJ
ajst-15458	1	65	intelligent	intelligent	ADJ
ajst-15458	1	66	connected	connected	ADJ
ajst-15458	1	67	vehicles	vehicle	NOUN
ajst-15458	1	68	,	,	PUNCT
ajst-15458	1	69	today	today	NOUN
ajst-15458	1	70	's	's	PART
ajst-15458	1	71	automotive	automotive	ADJ
ajst-15458	1	72	consumption	consumption	NOUN
ajst-15458	1	73	has	have	AUX
ajst-15458	1	74	shifted	shift	VERB
ajst-15458	1	75	from	from	ADP
ajst-15458	1	76	product	product	NOUN
ajst-15458	1	77	centric	centric	NOUN
ajst-15458	1	78	to	to	ADP
ajst-15458	1	79	user	user	PROPN
ajst-15458	1	80	centric	centric	NOUN
ajst-15458	1	81	.	.	PUNCT
ajst-15458	2	1	grouping	group	VERB
ajst-15458	2	2	automobile	automobile	NOUN
ajst-15458	2	3	users	user	NOUN
ajst-15458	2	4	and	and	CCONJ
ajst-15458	2	5	conducting	conduct	VERB
ajst-15458	2	6	in	in	ADP
ajst-15458	2	7	-	-	PUNCT
ajst-15458	2	8	depth	depth	NOUN
ajst-15458	2	9	research	research	NOUN
ajst-15458	2	10	on	on	ADP
ajst-15458	2	11	their	their	PRON
ajst-15458	2	12	characteristics	characteristic	NOUN
ajst-15458	2	13	and	and	CCONJ
ajst-15458	2	14	needs	need	NOUN
ajst-15458	2	15	can	can	AUX
ajst-15458	2	16	provide	provide	VERB
ajst-15458	2	17	certain	certain	ADJ
ajst-15458	2	18	support	support	NOUN
ajst-15458	2	19	and	and	CCONJ
ajst-15458	2	20	guidance	guidance	NOUN
ajst-15458	2	21	for	for	ADP
ajst-15458	2	22	manufacturers	manufacturer	NOUN
ajst-15458	2	23	in	in	ADP
ajst-15458	2	24	planning	plan	VERB
ajst-15458	2	25	and	and	CCONJ
ajst-15458	2	26	developing	develop	VERB
ajst-15458	2	27	vehicle	vehicle	NOUN
ajst-15458	2	28	models	model	NOUN
ajst-15458	2	29	,	,	PUNCT
ajst-15458	2	30	market	market	NOUN
ajst-15458	2	31	validation	validation	NOUN
ajst-15458	2	32	,	,	PUNCT
ajst-15458	2	33	etc	etc	X
ajst-15458	2	34	.	.	X
ajst-15458	2	35	however	however	ADV
ajst-15458	2	36	,	,	PUNCT
ajst-15458	2	37	current	current	ADJ
ajst-15458	2	38	research	research	NOUN
ajst-15458	2	39	on	on	ADP
ajst-15458	2	40	car	car	NOUN
ajst-15458	2	41	user	user	NOUN
ajst-15458	2	42	segmentation	segmentation	NOUN
ajst-15458	2	43	models	model	NOUN
ajst-15458	2	44	is	be	AUX
ajst-15458	2	45	relatively	relatively	ADV
ajst-15458	2	46	lagging	lag	VERB
ajst-15458	2	47	behind	behind	ADV
ajst-15458	2	48	,	,	PUNCT
ajst-15458	2	49	and	and	CCONJ
ajst-15458	2	50	existing	exist	VERB
ajst-15458	2	51	models	model	NOUN
ajst-15458	2	52	use	use	VERB
ajst-15458	2	53	subjective	subjective	ADJ
ajst-15458	2	54	factors	factor	NOUN
ajst-15458	2	55	such	such	ADJ
ajst-15458	2	56	as	as	ADP
ajst-15458	2	57	values	value	NOUN
ajst-15458	2	58	/	/	SYM
ajst-15458	2	59	automotive	automotive	ADJ
ajst-15458	2	60	views	view	NOUN
ajst-15458	2	61	/	/	SYM
ajst-15458	2	62	consumption	consumption	NOUN
ajst-15458	2	63	views	view	NOUN
ajst-15458	2	64	as	as	ADP
ajst-15458	2	65	modeling	model	VERB
ajst-15458	2	66	indicators	indicator	NOUN
ajst-15458	2	67	.	.	PUNCT
ajst-15458	3	1	in	in	ADP
ajst-15458	3	2	the	the	DET
ajst-15458	3	3	actual	actual	ADJ
ajst-15458	3	4	business	business	NOUN
ajst-15458	3	5	development	development	NOUN
ajst-15458	3	6	process	process	NOUN
ajst-15458	3	7	of	of	ADP
ajst-15458	3	8	car	car	NOUN
ajst-15458	3	9	companies	company	NOUN
ajst-15458	3	10	,	,	PUNCT
ajst-15458	3	11	there	there	PRON
ajst-15458	3	12	are	be	VERB
ajst-15458	3	13	limitations	limitation	NOUN
ajst-15458	3	14	of	of	ADP
ajst-15458	3	15	inconsistent	inconsistent	ADJ
ajst-15458	3	16	user	user	NOUN
ajst-15458	3	17	subjective	subjective	ADJ
ajst-15458	3	18	cognition	cognition	NOUN
ajst-15458	3	19	in	in	ADP
ajst-15458	3	20	various	various	ADJ
ajst-15458	3	21	business	business	NOUN
ajst-15458	3	22	processes	process	NOUN
ajst-15458	3	23	,	,	PUNCT
ajst-15458	3	24	resulting	result	VERB
ajst-15458	3	25	in	in	ADP
ajst-15458	3	26	unclear	unclear	ADJ
ajst-15458	3	27	vehicle	vehicle	NOUN
ajst-15458	3	28	development	development	NOUN
ajst-15458	3	29	direction	direction	NOUN
ajst-15458	3	30	and	and	CCONJ
ajst-15458	3	31	inaccurate	inaccurate	ADJ
ajst-15458	3	32	user	user	NOUN
ajst-15458	3	33	positioning	positioning	NOUN
ajst-15458	3	34	.	.	PUNCT
ajst-15458	4	1	in	in	ADP
ajst-15458	4	2	order	order	NOUN
ajst-15458	4	3	to	to	PART
ajst-15458	4	4	solve	solve	VERB
ajst-15458	4	5	the	the	DET
ajst-15458	4	6	above	above	ADJ
ajst-15458	4	7	problems	problem	NOUN
ajst-15458	4	8	,	,	PUNCT
ajst-15458	4	9	this	this	DET
ajst-15458	4	10	research	research	NOUN
ajst-15458	4	11	innovatively	innovatively	ADV
ajst-15458	4	12	constructs	construct	VERB
ajst-15458	4	13	a	a	DET
ajst-15458	4	14	set	set	NOUN
ajst-15458	4	15	of	of	ADP
ajst-15458	4	16	automobile	automobile	NOUN
ajst-15458	4	17	user	user	NOUN
ajst-15458	4	18	segmentation	segmentation	NOUN
ajst-15458	4	19	model	model	NOUN
ajst-15458	4	20	which	which	PRON
ajst-15458	4	21	is	be	AUX
ajst-15458	4	22	easy	easy	ADJ
ajst-15458	4	23	to	to	PART
ajst-15458	4	24	understand	understand	VERB
ajst-15458	4	25	and	and	CCONJ
ajst-15458	4	26	use	use	VERB
ajst-15458	4	27	by	by	ADP
ajst-15458	4	28	using	use	VERB
ajst-15458	4	29	unsupervised	unsupervised	ADJ
ajst-15458	4	30	clustering	clustering	ADJ
ajst-15458	4	31	algorithm	algorithm	NOUN
ajst-15458	4	32	based	base	VERB
ajst-15458	4	33	on	on	ADP
ajst-15458	4	34	objective	objective	ADJ
ajst-15458	4	35	indicators	indicator	NOUN
ajst-15458	4	36	,	,	PUNCT
ajst-15458	4	37	and	and	CCONJ
ajst-15458	4	38	provides	provide	VERB
ajst-15458	4	39	certain	certain	ADJ
ajst-15458	4	40	references	reference	NOUN
ajst-15458	4	41	for	for	ADP
ajst-15458	4	42	the	the	DET
ajst-15458	4	43	development	development	NOUN
ajst-15458	4	44	of	of	ADP
ajst-15458	4	45	new	new	ADJ
ajst-15458	4	46	models	model	NOUN
ajst-15458	4	47	and	and	CCONJ
ajst-15458	4	48	user	user	NOUN
ajst-15458	4	49	positioning	positioning	NOUN
ajst-15458	4	50	of	of	ADP
ajst-15458	4	51	automobile	automobile	NOUN
ajst-15458	4	52	enterprises	enterprise	NOUN
ajst-15458	4	53	.	.	PUNCT
ajst-15458	5	1	keywords	keyword	NOUN
ajst-15458	5	2	:	:	PUNCT
ajst-15458	5	3	passenger	passenger	NOUN
ajst-15458	5	4	car	car	NOUN
ajst-15458	5	5	market	market	NOUN
ajst-15458	5	6	,	,	PUNCT
ajst-15458	5	7	unsupervised	unsupervised	ADJ
ajst-15458	5	8	learning	learning	NOUN
ajst-15458	5	9	,	,	PUNCT
ajst-15458	5	10	objective	objective	ADJ
ajst-15458	5	11	indicators	indicator	NOUN
ajst-15458	5	12	,	,	PUNCT
ajst-15458	5	13	user	user	NOUN
ajst-15458	5	14	segmentation	segmentation	NOUN
ajst-15458	5	15	models	model	NOUN
ajst-15458	5	16	.	.	PUNCT
ajst-15458	6	1	1	1	X
ajst-15458	6	2	.	.	X
ajst-15458	6	3	introduction	introduction	NOUN
ajst-15458	6	4	at	at	ADP
ajst-15458	6	5	present	present	ADJ
ajst-15458	6	6	,	,	PUNCT
ajst-15458	6	7	china	china	PROPN
ajst-15458	6	8	's	's	PART
ajst-15458	6	9	automobile	automobile	NOUN
ajst-15458	6	10	market	market	NOUN
ajst-15458	6	11	has	have	AUX
ajst-15458	6	12	changed	change	VERB
ajst-15458	6	13	from	from	ADP
ajst-15458	6	14	an	an	DET
ajst-15458	6	15	incremental	incremental	ADJ
ajst-15458	6	16	market	market	NOUN
ajst-15458	6	17	to	to	ADP
ajst-15458	6	18	a	a	DET
ajst-15458	6	19	stock	stock	NOUN
ajst-15458	6	20	market	market	NOUN
ajst-15458	6	21	,	,	PUNCT
ajst-15458	6	22	the	the	DET
ajst-15458	6	23	automobile	automobile	NOUN
ajst-15458	6	24	industry	industry	NOUN
ajst-15458	6	25	intelligent	intelligent	ADJ
ajst-15458	6	26	,	,	PUNCT
ajst-15458	6	27	network	network	NOUN
ajst-15458	6	28	,	,	PUNCT
ajst-15458	6	29	electric	electric	NOUN
ajst-15458	6	30	,	,	PUNCT
ajst-15458	6	31	sharing	sharing	NOUN
ajst-15458	6	32	of	of	ADP
ajst-15458	6	33	the	the	DET
ajst-15458	6	34	four	four	NUM
ajst-15458	6	35	changes	change	NOUN
ajst-15458	6	36	have	have	AUX
ajst-15458	6	37	changed	change	VERB
ajst-15458	6	38	the	the	DET
ajst-15458	6	39	original	original	ADJ
ajst-15458	6	40	connotation	connotation	NOUN
ajst-15458	6	41	of	of	ADP
ajst-15458	6	42	the	the	DET
ajst-15458	6	43	automobile	automobile	NOUN
ajst-15458	6	44	,	,	PUNCT
ajst-15458	6	45	the	the	DET
ajst-15458	6	46	whole	whole	ADJ
ajst-15458	6	47	industry	industry	NOUN
ajst-15458	6	48	in	in	ADP
ajst-15458	6	49	the	the	DET
ajst-15458	6	50	new	new	ADJ
ajst-15458	6	51	energy	energy	NOUN
ajst-15458	6	52	,	,	PUNCT
ajst-15458	6	53	intelligent	intelligent	ADJ
ajst-15458	6	54	technology	technology	NOUN
ajst-15458	6	55	and	and	CCONJ
ajst-15458	6	56	other	other	ADJ
ajst-15458	6	57	industries	industry	NOUN
ajst-15458	6	58	under	under	ADP
ajst-15458	6	59	the	the	DET
ajst-15458	6	60	impact	impact	NOUN
ajst-15458	6	61	of	of	ADP
ajst-15458	6	62	the	the	DET
ajst-15458	6	63	industry	industry	NOUN
ajst-15458	6	64	chain	chain	NOUN
ajst-15458	6	65	is	be	AUX
ajst-15458	6	66	disintegrating	disintegrate	VERB
ajst-15458	6	67	and	and	CCONJ
ajst-15458	6	68	restructuring	restructure	VERB
ajst-15458	6	69	,	,	PUNCT
ajst-15458	6	70	to	to	ADP
ajst-15458	6	71	the	the	DET
ajst-15458	6	72	automobile	automobile	NOUN
ajst-15458	6	73	companies	company	NOUN
ajst-15458	6	74	have	have	AUX
ajst-15458	6	75	brought	bring	VERB
ajst-15458	6	76	product	product	NOUN
ajst-15458	6	77	definition	definition	NOUN
ajst-15458	6	78	,	,	PUNCT
ajst-15458	6	79	research	research	NOUN
ajst-15458	6	80	and	and	CCONJ
ajst-15458	6	81	development	development	NOUN
ajst-15458	6	82	and	and	CCONJ
ajst-15458	6	83	marketing	marketing	NOUN
ajst-15458	6	84	and	and	CCONJ
ajst-15458	6	85	other	other	ADJ
ajst-15458	6	86	challenges.[1]under	challenges.[1]und	ADJ
ajst-15458	6	87	such	such	DET
ajst-15458	6	88	an	an	DET
ajst-15458	6	89	industry	industry	NOUN
ajst-15458	6	90	background	background	NOUN
ajst-15458	6	91	and	and	CCONJ
ajst-15458	6	92	trend	trend	NOUN
ajst-15458	6	93	,	,	PUNCT
ajst-15458	6	94	car	car	NOUN
ajst-15458	6	95	companies	company	NOUN
ajst-15458	6	96	have	have	AUX
ajst-15458	6	97	adjusted	adjust	VERB
ajst-15458	6	98	their	their	PRON
ajst-15458	6	99	competitive	competitive	ADJ
ajst-15458	6	100	strategies	strategy	NOUN
ajst-15458	6	101	,	,	PUNCT
ajst-15458	6	102	user	user	NOUN
ajst-15458	6	103	awareness	awareness	NOUN
ajst-15458	6	104	,	,	PUNCT
ajst-15458	6	105	from	from	ADP
ajst-15458	6	106	product	product	NOUN
ajst-15458	6	107	as	as	ADP
ajst-15458	6	108	king	king	NOUN
ajst-15458	6	109	to	to	ADP
ajst-15458	6	110	user	user	NOUN
ajst-15458	6	111	-	-	PUNCT
ajst-15458	6	112	centered	center	VERB
ajst-15458	6	113	,	,	PUNCT
ajst-15458	6	114	pay	pay	VERB
ajst-15458	6	115	more	more	ADJ
ajst-15458	6	116	attention	attention	NOUN
ajst-15458	6	117	to	to	ADP
ajst-15458	6	118	user	user	NOUN
ajst-15458	6	119	experience	experience	NOUN
ajst-15458	6	120	,	,	PUNCT
ajst-15458	6	121	the	the	DET
ajst-15458	6	122	importance	importance	NOUN
ajst-15458	6	123	of	of	ADP
ajst-15458	6	124	user	user	NOUN
ajst-15458	6	125	research	research	NOUN
ajst-15458	6	126	in	in	ADP
ajst-15458	6	127	the	the	DET
ajst-15458	6	128	automotive	automotive	ADJ
ajst-15458	6	129	industry	industry	NOUN
ajst-15458	6	130	has	have	AUX
ajst-15458	6	131	become	become	VERB
ajst-15458	6	132	increasingly	increasingly	ADV
ajst-15458	6	133	prominent	prominent	ADJ
ajst-15458	6	134	,	,	PUNCT
ajst-15458	6	135	and	and	CCONJ
ajst-15458	6	136	the	the	DET
ajst-15458	6	137	accurate	accurate	ADJ
ajst-15458	6	138	classification	classification	NOUN
ajst-15458	6	139	of	of	ADP
ajst-15458	6	140	users	user	NOUN
ajst-15458	6	141	and	and	CCONJ
ajst-15458	6	142	the	the	DET
ajst-15458	6	143	positioning	positioning	NOUN
ajst-15458	6	144	of	of	ADP
ajst-15458	6	145	target	target	NOUN
ajst-15458	6	146	users	user	NOUN
ajst-15458	6	147	have	have	AUX
ajst-15458	6	148	become	become	VERB
ajst-15458	6	149	an	an	DET
ajst-15458	6	150	important	important	ADJ
ajst-15458	6	151	fulcrum	fulcrum	NOUN
ajst-15458	6	152	of	of	ADP
ajst-15458	6	153	car	car	NOUN
ajst-15458	6	154	companies	company	NOUN
ajst-15458	6	155	.	.	PUNCT
ajst-15458	7	1	at	at	ADP
ajst-15458	7	2	present	present	ADJ
ajst-15458	7	3	,	,	PUNCT
ajst-15458	7	4	the	the	DET
ajst-15458	7	5	population	population	NOUN
ajst-15458	7	6	segmentation	segmentation	NOUN
ajst-15458	7	7	system	system	NOUN
ajst-15458	7	8	based	base	VERB
ajst-15458	7	9	on	on	ADP
ajst-15458	7	10	subjective	subjective	ADJ
ajst-15458	7	11	indicators	indicator	NOUN
ajst-15458	7	12	such	such	ADJ
ajst-15458	7	13	as	as	ADP
ajst-15458	7	14	values	value	NOUN
ajst-15458	7	15	is	be	AUX
ajst-15458	7	16	used	use	VERB
ajst-15458	7	17	more	more	ADV
ajst-15458	7	18	in	in	ADP
ajst-15458	7	19	the	the	DET
ajst-15458	7	20	process	process	NOUN
ajst-15458	7	21	of	of	ADP
ajst-15458	7	22	model	model	NOUN
ajst-15458	7	23	planning	planning	NOUN
ajst-15458	7	24	and	and	CCONJ
ajst-15458	7	25	development	development	NOUN
ajst-15458	7	26	,	,	PUNCT
ajst-15458	7	27	but	but	CCONJ
ajst-15458	7	28	in	in	ADP
ajst-15458	7	29	the	the	DET
ajst-15458	7	30	actual	actual	ADJ
ajst-15458	7	31	model	model	NOUN
ajst-15458	7	32	development	development	NOUN
ajst-15458	7	33	process	process	NOUN
ajst-15458	7	34	,	,	PUNCT
ajst-15458	7	35	it	it	PRON
ajst-15458	7	36	is	be	AUX
ajst-15458	7	37	found	find	VERB
ajst-15458	7	38	that	that	SCONJ
ajst-15458	7	39	this	this	DET
ajst-15458	7	40	system	system	NOUN
ajst-15458	7	41	is	be	AUX
ajst-15458	7	42	easy	easy	ADJ
ajst-15458	7	43	to	to	PART
ajst-15458	7	44	cause	cause	VERB
ajst-15458	7	45	the	the	DET
ajst-15458	7	46	problem	problem	NOUN
ajst-15458	7	47	of	of	ADP
ajst-15458	7	48	different	different	ADJ
ajst-15458	7	49	cognition	cognition	NOUN
ajst-15458	7	50	of	of	ADP
ajst-15458	7	51	users	user	NOUN
ajst-15458	7	52	in	in	ADP
ajst-15458	7	53	each	each	DET
ajst-15458	7	54	business	business	NOUN
ajst-15458	7	55	link	link	NOUN
ajst-15458	7	56	,	,	PUNCT
ajst-15458	7	57	which	which	PRON
ajst-15458	7	58	brings	bring	VERB
ajst-15458	7	59	the	the	DET
ajst-15458	7	60	risk	risk	NOUN
ajst-15458	7	61	of	of	ADP
ajst-15458	7	62	development	development	NOUN
ajst-15458	7	63	deviation.at	deviation.at	NOUN
ajst-15458	7	64	the	the	DET
ajst-15458	7	65	same	same	ADJ
ajst-15458	7	66	time	time	NOUN
ajst-15458	7	67	,	,	PUNCT
ajst-15458	7	68	due	due	ADP
ajst-15458	7	69	to	to	ADP
ajst-15458	7	70	the	the	DET
ajst-15458	7	71	lack	lack	NOUN
ajst-15458	7	72	of	of	ADP
ajst-15458	7	73	a	a	DET
ajst-15458	7	74	relatively	relatively	ADV
ajst-15458	7	75	unified	unified	ADJ
ajst-15458	7	76	and	and	CCONJ
ajst-15458	7	77	objective	objective	ADJ
ajst-15458	7	78	subdivision	subdivision	NOUN
ajst-15458	7	79	system	system	NOUN
ajst-15458	7	80	,	,	PUNCT
ajst-15458	7	81	opportunities	opportunity	NOUN
ajst-15458	7	82	and	and	CCONJ
ajst-15458	7	83	trend	trend	NOUN
ajst-15458	7	84	research	research	NOUN
ajst-15458	7	85	is	be	AUX
ajst-15458	7	86	also	also	ADV
ajst-15458	7	87	easy	easy	ADJ
ajst-15458	7	88	to	to	PART
ajst-15458	7	89	fragment	fragment	VERB
ajst-15458	7	90	,	,	PUNCT
ajst-15458	7	91	lack	lack	NOUN
ajst-15458	7	92	of	of	ADP
ajst-15458	7	93	systematic	systematic	ADJ
ajst-15458	7	94	comparability	comparability	NOUN
ajst-15458	7	95	research	research	NOUN
ajst-15458	7	96	,	,	PUNCT
ajst-15458	7	97	it	it	PRON
ajst-15458	7	98	is	be	AUX
ajst-15458	7	99	not	not	PART
ajst-15458	7	100	convenient	convenient	ADJ
ajst-15458	7	101	to	to	PART
ajst-15458	7	102	track	track	VERB
ajst-15458	7	103	the	the	DET
ajst-15458	7	104	population	population	NOUN
ajst-15458	7	105	change	change	VERB
ajst-15458	7	106	trend.in	trend.in	PRON
ajst-15458	7	107	addition	addition	NOUN
ajst-15458	7	108	,	,	PUNCT
ajst-15458	7	109	there	there	PRON
ajst-15458	7	110	is	be	VERB
ajst-15458	7	111	no	no	DET
ajst-15458	7	112	unified	unified	ADJ
ajst-15458	7	113	segmentation	segmentation	NOUN
ajst-15458	7	114	system	system	NOUN
ajst-15458	7	115	from	from	ADP
ajst-15458	7	116	the	the	DET
ajst-15458	7	117	user	user	NOUN
ajst-15458	7	118	,	,	PUNCT
ajst-15458	7	119	and	and	CCONJ
ajst-15458	7	120	it	it	PRON
ajst-15458	7	121	is	be	AUX
ajst-15458	7	122	easy	easy	ADJ
ajst-15458	7	123	to	to	PART
ajst-15458	7	124	over	over	ADV
ajst-15458	7	125	-	-	PUNCT
ajst-15458	7	126	rely	rely	VERB
ajst-15458	7	127	on	on	ADP
ajst-15458	7	128	product	product	NOUN
ajst-15458	7	129	attributes	attribute	VERB
ajst-15458	7	130	in	in	ADP
ajst-15458	7	131	the	the	DET
ajst-15458	7	132	process	process	NOUN
ajst-15458	7	133	of	of	ADP
ajst-15458	7	134	planning	planning	NOUN
ajst-15458	7	135	and	and	CCONJ
ajst-15458	7	136	innovation	innovation	NOUN
ajst-15458	7	137	,	,	PUNCT
ajst-15458	7	138	and	and	CCONJ
ajst-15458	7	139	it	it	PRON
ajst-15458	7	140	is	be	AUX
ajst-15458	7	141	difficult	difficult	ADJ
ajst-15458	7	142	to	to	PART
ajst-15458	7	143	find	find	VERB
ajst-15458	7	144	a	a	DET
ajst-15458	7	145	breakthrough	breakthrough	NOUN
ajst-15458	7	146	point	point	NOUN
ajst-15458	7	147	.	.	PUNCT
ajst-15458	8	1	therefore	therefore	ADV
ajst-15458	8	2	,	,	PUNCT
ajst-15458	8	3	building	build	VERB
ajst-15458	8	4	a	a	DET
ajst-15458	8	5	set	set	NOUN
ajst-15458	8	6	of	of	ADP
ajst-15458	8	7	population	population	NOUN
ajst-15458	8	8	segmentation	segmentation	NOUN
ajst-15458	8	9	model	model	NOUN
ajst-15458	8	10	that	that	PRON
ajst-15458	8	11	is	be	AUX
ajst-15458	8	12	easy	easy	ADJ
ajst-15458	8	13	to	to	PART
ajst-15458	8	14	understand	understand	VERB
ajst-15458	8	15	and	and	CCONJ
ajst-15458	8	16	use	use	VERB
ajst-15458	8	17	and	and	CCONJ
ajst-15458	8	18	suitable	suitable	ADJ
ajst-15458	8	19	for	for	ADP
ajst-15458	8	20	the	the	DET
ajst-15458	8	21	needs	need	NOUN
ajst-15458	8	22	of	of	ADP
ajst-15458	8	23	automobile	automobile	NOUN
ajst-15458	8	24	enterprises	enterprise	NOUN
ajst-15458	8	25	can	can	AUX
ajst-15458	8	26	improve	improve	VERB
ajst-15458	8	27	the	the	DET
ajst-15458	8	28	accuracy	accuracy	NOUN
ajst-15458	8	29	,	,	PUNCT
ajst-15458	8	30	system	system	NOUN
ajst-15458	8	31	and	and	CCONJ
ajst-15458	8	32	comprehensiveness	comprehensiveness	NOUN
ajst-15458	8	33	of	of	ADP
ajst-15458	8	34	the	the	DET
ajst-15458	8	35	relevant	relevant	ADJ
ajst-15458	8	36	work	work	NOUN
ajst-15458	8	37	of	of	ADP
ajst-15458	8	38	automobile	automobile	NOUN
ajst-15458	8	39	enterprises	enterprise	NOUN
ajst-15458	8	40	planning	planning	NOUN
ajst-15458	8	41	.	.	PUNCT
ajst-15458	9	1	2	2	X
ajst-15458	9	2	.	.	X
ajst-15458	9	3	research	research	NOUN
ajst-15458	9	4	progress	progress	NOUN
ajst-15458	9	5	of	of	ADP
ajst-15458	9	6	automobile	automobile	NOUN
ajst-15458	9	7	user	user	NOUN
ajst-15458	9	8	segmentation	segmentation	NOUN
ajst-15458	9	9	model	model	NOUN
ajst-15458	9	10	in	in	ADP
ajst-15458	9	11	recent	recent	ADJ
ajst-15458	9	12	years	year	NOUN
ajst-15458	9	13	,	,	PUNCT
ajst-15458	9	14	in	in	ADP
ajst-15458	9	15	the	the	DET
ajst-15458	9	16	domestic	domestic	ADJ
ajst-15458	9	17	new	new	ADJ
ajst-15458	9	18	force	force	NOUN
ajst-15458	9	19	car	car	NOUN
ajst-15458	9	20	brand	brand	NOUN
ajst-15458	9	21	,	,	PUNCT
ajst-15458	9	22	weilai	weilai	PROPN
ajst-15458	9	23	,	,	PUNCT
ajst-15458	9	24	ideal	ideal	ADJ
ajst-15458	9	25	,	,	PUNCT
ajst-15458	9	26	xiaopeng	xiaopeng	PROPN
ajst-15458	9	27	and	and	CCONJ
ajst-15458	9	28	other	other	ADJ
ajst-15458	9	29	enterprises	enterprise	NOUN
ajst-15458	9	30	took	take	VERB
ajst-15458	9	31	the	the	DET
ajst-15458	9	32	lead	lead	NOUN
ajst-15458	9	33	in	in	ADP
ajst-15458	9	34	introducing	introduce	VERB
ajst-15458	9	35	the	the	DET
ajst-15458	9	36	user	user	NOUN
ajst-15458	9	37	-	-	PUNCT
ajst-15458	9	38	centered	center	VERB
ajst-15458	9	39	thinking	thinking	NOUN
ajst-15458	9	40	,	,	PUNCT
ajst-15458	9	41	breaking	break	VERB
ajst-15458	9	42	through	through	ADP
ajst-15458	9	43	the	the	DET
ajst-15458	9	44	traditional	traditional	ADJ
ajst-15458	9	45	car	car	NOUN
ajst-15458	9	46	enterprises	enterprise	NOUN
ajst-15458	9	47	to	to	ADP
ajst-15458	9	48	the	the	DET
ajst-15458	9	49	standard	standard	ADJ
ajst-15458	9	50	oriented	orient	VERB
ajst-15458	9	51	car	car	NOUN
ajst-15458	9	52	model	model	NOUN
ajst-15458	9	53	,	,	PUNCT
ajst-15458	9	54	and	and	CCONJ
ajst-15458	9	55	becoming	become	VERB
ajst-15458	9	56	the	the	DET
ajst-15458	9	57	user	user	NOUN
ajst-15458	9	58	-	-	PUNCT
ajst-15458	9	59	oriented	orient	VERB
ajst-15458	9	60	car	car	NOUN
ajst-15458	9	61	pioneer	pioneer	NOUN
ajst-15458	9	62	,	,	PUNCT
ajst-15458	9	63	at	at	ADP
ajst-15458	9	64	the	the	DET
ajst-15458	9	65	same	same	ADJ
ajst-15458	9	66	time	time	NOUN
ajst-15458	9	67	,	,	PUNCT
ajst-15458	9	68	the	the	DET
ajst-15458	9	69	major	major	ADJ
ajst-15458	9	70	car	car	NOUN
ajst-15458	9	71	companies	company	NOUN
ajst-15458	9	72	in	in	ADP
ajst-15458	9	73	the	the	DET
ajst-15458	9	74	industry	industry	NOUN
ajst-15458	9	75	have	have	AUX
ajst-15458	9	76	turned	turn	VERB
ajst-15458	9	77	to	to	ADP
ajst-15458	9	78	the	the	DET
ajst-15458	9	79	user	user	NOUN
ajst-15458	9	80	as	as	SCONJ
ajst-15458	9	81	the	the	DET
ajst-15458	9	82	center.since	center.since	PROPN
ajst-15458	9	83	american	american	PROPN
ajst-15458	9	84	scholar	scholar	PROPN
ajst-15458	9	85	wendell	wendell	PROPN
ajst-15458	9	86	-	-	PUNCT
ajst-15458	9	87	r	r	NOUN
ajst-15458	9	88	-	-	PUNCT
ajst-15458	9	89	smith	smith	NOUN
ajst-15458	9	90	put	put	VERB
ajst-15458	9	91	forward	forward	ADV
ajst-15458	9	92	the	the	DET
ajst-15458	9	93	concept	concept	NOUN
ajst-15458	9	94	of	of	ADP
ajst-15458	9	95	user	user	NOUN
ajst-15458	9	96	segmentation	segmentation	NOUN
ajst-15458	9	97	in	in	ADP
ajst-15458	9	98	1956	1956	NUM
ajst-15458	9	99	,	,	PUNCT
ajst-15458	9	100	domestic	domestic	ADJ
ajst-15458	9	101	and	and	CCONJ
ajst-15458	9	102	foreign	foreign	ADJ
ajst-15458	9	103	university	university	NOUN
ajst-15458	9	104	scholars	scholar	NOUN
ajst-15458	9	105	and	and	CCONJ
ajst-15458	9	106	market	market	NOUN
ajst-15458	9	107	research	research	NOUN
ajst-15458	9	108	institutions	institution	NOUN
ajst-15458	9	109	have	have	AUX
ajst-15458	9	110	never	never	ADV
ajst-15458	9	111	stopped	stop	VERB
ajst-15458	9	112	the	the	DET
ajst-15458	9	113	research	research	NOUN
ajst-15458	9	114	on	on	ADP
ajst-15458	9	115	the	the	DET
ajst-15458	9	116	theory	theory	NOUN
ajst-15458	9	117	and	and	CCONJ
ajst-15458	9	118	model	model	NOUN
ajst-15458	9	119	of	of	ADP
ajst-15458	9	120	user	user	NOUN
ajst-15458	9	121	segmentation.[2,3]throughout	segmentation.[2,3]throughout	ADP
ajst-15458	9	122	the	the	DET
ajst-15458	9	123	past	past	ADJ
ajst-15458	9	124	research	research	NOUN
ajst-15458	9	125	on	on	ADP
ajst-15458	9	126	user	user	NOUN
ajst-15458	9	127	segmentation	segmentation	NOUN
ajst-15458	9	128	model	model	NOUN
ajst-15458	9	129	,	,	PUNCT
ajst-15458	9	130	most	most	ADJ
ajst-15458	9	131	of	of	ADP
ajst-15458	9	132	them	they	PRON
ajst-15458	9	133	focus	focus	VERB
ajst-15458	9	134	on	on	ADP
ajst-15458	9	135	e	e	NOUN
ajst-15458	9	136	-	-	NOUN
ajst-15458	9	137	commerce	commerce	ADJ
ajst-15458	9	138	,	,	PUNCT
ajst-15458	9	139	online	online	ADJ
ajst-15458	9	140	games	game	NOUN
ajst-15458	9	141	,	,	PUNCT
ajst-15458	9	142	finance	finance	NOUN
ajst-15458	9	143	,	,	PUNCT
ajst-15458	9	144	retail	retail	ADJ
ajst-15458	9	145	and	and	CCONJ
ajst-15458	9	146	other	other	ADJ
ajst-15458	9	147	industries	industry	NOUN
ajst-15458	9	148	with	with	ADP
ajst-15458	9	149	high	high	ADJ
ajst-15458	9	150	user	user	NOUN
ajst-15458	9	151	consumption	consumption	NOUN
ajst-15458	9	152	frequency	frequency	NOUN
ajst-15458	9	153	,	,	PUNCT
ajst-15458	9	154	while	while	SCONJ
ajst-15458	9	155	the	the	DET
ajst-15458	9	156	automobile	automobile	NOUN
ajst-15458	9	157	industry	industry	NOUN
ajst-15458	9	158	is	be	AUX
ajst-15458	9	159	different	different	ADJ
ajst-15458	9	160	from	from	ADP
ajst-15458	9	161	other	other	ADJ
ajst-15458	9	162	consumer	consumer	NOUN
ajst-15458	9	163	categories	category	NOUN
ajst-15458	9	164	due	due	ADP
ajst-15458	9	165	to	to	ADP
ajst-15458	9	166	the	the	DET
ajst-15458	9	167	influence	influence	NOUN
ajst-15458	9	168	of	of	ADP
ajst-15458	9	169	multiple	multiple	ADJ
ajst-15458	9	170	factors	factor	NOUN
ajst-15458	9	171	such	such	ADJ
ajst-15458	9	172	as	as	ADP
ajst-15458	9	173	price	price	NOUN
ajst-15458	9	174	,	,	PUNCT
ajst-15458	9	175	industry	industry	NOUN
ajst-15458	9	176	,	,	PUNCT
ajst-15458	9	177	policy	policy	NOUN
ajst-15458	9	178	and	and	CCONJ
ajst-15458	9	179	users	user	NOUN
ajst-15458	9	180	,	,	PUNCT
ajst-15458	9	181	so	so	SCONJ
ajst-15458	9	182	the	the	DET
ajst-15458	9	183	research	research	NOUN
ajst-15458	9	184	on	on	ADP
ajst-15458	9	185	automobile	automobile	NOUN
ajst-15458	9	186	user	user	NOUN
ajst-15458	9	187	segmentation	segmentation	NOUN
ajst-15458	9	188	model	model	NOUN
ajst-15458	9	189	is	be	AUX
ajst-15458	9	190	relatively	relatively	ADV
ajst-15458	9	191	lagging	lag	VERB
ajst-15458	9	192	behind	behind	ADV
ajst-15458	9	193	.	.	PUNCT
ajst-15458	10	1	at	at	ADP
ajst-15458	10	2	present	present	ADJ
ajst-15458	10	3	,	,	PUNCT
ajst-15458	10	4	there	there	PRON
ajst-15458	10	5	are	be	VERB
ajst-15458	10	6	many	many	ADJ
ajst-15458	10	7	researches	research	NOUN
ajst-15458	10	8	on	on	ADP
ajst-15458	10	9	automobile	automobile	NOUN
ajst-15458	10	10	user	user	NOUN
ajst-15458	10	11	segmentation	segmentation	NOUN
ajst-15458	10	12	model	model	NOUN
ajst-15458	10	13	by	by	ADP
ajst-15458	10	14	market	market	NOUN
ajst-15458	10	15	research	research	NOUN
ajst-15458	10	16	institutions	institution	NOUN
ajst-15458	10	17	,	,	PUNCT
ajst-15458	10	18	and	and	CCONJ
ajst-15458	10	19	the	the	DET
ajst-15458	10	20	profiler	profiler	NOUN
ajst-15458	10	21	population	population	NOUN
ajst-15458	10	22	segmentation	segmentation	NOUN
ajst-15458	10	23	model	model	NOUN
ajst-15458	10	24	of	of	ADP
ajst-15458	10	25	roland	roland	PROPN
ajst-15458	10	26	berger	berger	PROPN
ajst-15458	10	27	strategy	strategy	PROPN
ajst-15458	10	28	consulting	consult	VERB
ajst-15458	10	29	company	company	NOUN
ajst-15458	10	30	is	be	AUX
ajst-15458	10	31	highly	highly	ADV
ajst-15458	10	32	recognized	recognize	VERB
ajst-15458	10	33	in	in	ADP
ajst-15458	10	34	the	the	DET
ajst-15458	10	35	industry.the	industry.the	DET
ajst-15458	10	36	model	model	NOUN
ajst-15458	10	37	uses	use	VERB
ajst-15458	10	38	values	value	NOUN
ajst-15458	10	39	and	and	CCONJ
ajst-15458	10	40	consumption	consumption	NOUN
ajst-15458	10	41	views	view	NOUN
ajst-15458	10	42	to	to	PART
ajst-15458	10	43	classify	classify	VERB
ajst-15458	10	44	users.based	users.based	ADJ
ajst-15458	10	45	on	on	ADP
ajst-15458	10	46	the	the	DET
ajst-15458	10	47	psychological	psychological	ADJ
ajst-15458	10	48	needs	need	NOUN
ajst-15458	10	49	of	of	ADP
ajst-15458	10	50	the	the	DET
ajst-15458	10	51	crowd	crowd	NOUN
ajst-15458	10	52	,	,	PUNCT
ajst-15458	10	53	through	through	ADP
ajst-15458	10	54	statistical	statistical	ADJ
ajst-15458	10	55	cluster	cluster	NOUN
ajst-15458	10	56	analysis	analysis	NOUN
ajst-15458	10	57	,	,	PUNCT
ajst-15458	10	58	the	the	DET
ajst-15458	10	59	typical	typical	ADJ
ajst-15458	10	60	consumer	consumer	NOUN
ajst-15458	10	61	groups	group	NOUN
ajst-15458	10	62	in	in	ADP
ajst-15458	10	63	the	the	DET
ajst-15458	10	64	market	market	NOUN
ajst-15458	10	65	are	be	AUX
ajst-15458	10	66	obtained	obtain	VERB
ajst-15458	10	67	,	,	PUNCT
ajst-15458	10	68	and	and	CCONJ
ajst-15458	10	69	each	each	DET
ajst-15458	10	70	group	group	NOUN
ajst-15458	10	71	of	of	ADP
ajst-15458	10	72	people	people	NOUN
ajst-15458	10	73	share	share	VERB
ajst-15458	10	74	a	a	DET
ajst-15458	10	75	similar	similar	ADJ
ajst-15458	10	76	set	set	NOUN
ajst-15458	10	77	of	of	ADP
ajst-15458	10	78	core	core	NOUN
ajst-15458	10	79	values.finally	values.finally	ADV
ajst-15458	10	80	,	,	PUNCT
ajst-15458	10	81	the	the	DET
ajst-15458	10	82	car	car	NOUN
ajst-15458	10	83	crowd	crowd	NOUN
ajst-15458	10	84	is	be	AUX
ajst-15458	10	85	divided	divide	VERB
ajst-15458	10	86	into	into	ADP
ajst-15458	10	87	:	:	PUNCT
ajst-15458	10	88	decent	decent	ADJ
ajst-15458	10	89	and	and	CCONJ
ajst-15458	10	90	smart	smart	ADJ
ajst-15458	10	91	type	type	NOUN
ajst-15458	10	92	,	,	PUNCT
ajst-15458	10	93	warm	warm	ADJ
ajst-15458	10	94	and	and	CCONJ
ajst-15458	10	95	harmonious	harmonious	ADJ
ajst-15458	10	96	type	type	NOUN
ajst-15458	10	97	,	,	PUNCT
ajst-15458	10	98	personality	personality	NOUN
ajst-15458	10	99	enterprising	enterprising	NOUN
ajst-15458	10	100	type	type	NOUN
ajst-15458	10	101	,	,	PUNCT
ajst-15458	10	102	traditional	traditional	ADJ
ajst-15458	10	103	rational	rational	ADJ
ajst-15458	10	104	type	type	NOUN
ajst-15458	10	105	,	,	PUNCT
ajst-15458	10	106	conservative	conservative	ADJ
ajst-15458	10	107	and	and	CCONJ
ajst-15458	10	108	peaceful	peaceful	ADJ
ajst-15458	10	109	type	type	NOUN
ajst-15458	10	110	,	,	PUNCT
ajst-15458	10	111	trendy	trendy	ADJ
ajst-15458	10	112	self	self	NOUN
ajst-15458	10	113	-	-	PUNCT
ajst-15458	10	114	type	type	NOUN
ajst-15458	10	115	six	six	NUM
ajst-15458	10	116	categories	category	NOUN
ajst-15458	10	117	of	of	ADP
ajst-15458	10	118	people.another	people.another	PROPN
ajst-15458	10	119	group	group	NOUN
ajst-15458	10	120	classification	classification	NOUN
ajst-15458	10	121	is	be	AUX
ajst-15458	10	122	the	the	DET
ajst-15458	10	123	top	top	ADJ
ajst-15458	10	124	ten	ten	NUM
ajst-15458	10	125	group	group	NOUN
ajst-15458	10	126	classification	classification	NOUN
ajst-15458	10	127	of	of	ADP
ajst-15458	10	128	the	the	DET
ajst-15458	10	129	national	national	ADJ
ajst-15458	10	130	information	information	NOUN
ajst-15458	10	131	center	center	NOUN
ajst-15458	10	132	,	,	PUNCT
ajst-15458	10	133	which	which	PRON
ajst-15458	10	134	adopts	adopt	VERB
ajst-15458	10	135	the	the	DET
ajst-15458	10	136	three	three	NUM
ajst-15458	10	137	dimensions	dimension	NOUN
ajst-15458	10	138	of	of	ADP
ajst-15458	10	139	social	social	ADJ
ajst-15458	10	140	class	class	NOUN
ajst-15458	10	141	,	,	PUNCT
ajst-15458	10	142	values	value	NOUN
ajst-15458	10	143	and	and	CCONJ
ajst-15458	10	144	car	car	NOUN
ajst-15458	10	145	view	view	NOUN
ajst-15458	10	146	as	as	ADP
ajst-15458	10	147	the	the	DET
ajst-15458	10	148	key	key	ADJ
ajst-15458	10	149	variables	variable	NOUN
ajst-15458	10	150	.	.	PUNCT
ajst-15458	11	1	among	among	ADP
ajst-15458	11	2	them	they	PRON
ajst-15458	11	3	,	,	PUNCT
ajst-15458	11	4	social	social	ADJ
ajst-15458	11	5	class	class	NOUN
ajst-15458	11	6	is	be	AUX
ajst-15458	11	7	divided	divide	VERB
ajst-15458	11	8	into	into	ADP
ajst-15458	11	9	five	five	NUM
ajst-15458	11	10	levels	level	NOUN
ajst-15458	11	11	according	accord	VERB
ajst-15458	11	12	to	to	ADP
ajst-15458	11	13	economic	economic	ADJ
ajst-15458	11	14	resources	resource	NOUN
ajst-15458	11	15	,	,	PUNCT
ajst-15458	11	16	power	power	NOUN
ajst-15458	11	17	resources	resource	NOUN
ajst-15458	11	18	and	and	CCONJ
ajst-15458	11	19	75	75	NUM
ajst-15458	11	20	cultural	cultural	ADJ
ajst-15458	11	21	resources.at	resources.at	NOUN
ajst-15458	11	22	the	the	DET
ajst-15458	11	23	same	same	ADJ
ajst-15458	11	24	time	time	NOUN
ajst-15458	11	25	,	,	PUNCT
ajst-15458	11	26	the	the	DET
ajst-15458	11	27	car	car	NOUN
ajst-15458	11	28	concept	concept	NOUN
ajst-15458	11	29	is	be	AUX
ajst-15458	11	30	divided	divide	VERB
ajst-15458	11	31	into	into	ADP
ajst-15458	11	32	four	four	NUM
ajst-15458	11	33	levels	level	NOUN
ajst-15458	11	34	of	of	ADP
ajst-15458	11	35	needs	need	NOUN
ajst-15458	11	36	(	(	PUNCT
ajst-15458	11	37	basic	basic	ADJ
ajst-15458	11	38	needs	need	NOUN
ajst-15458	11	39	,	,	PUNCT
ajst-15458	11	40	experience	experience	NOUN
ajst-15458	11	41	needs	need	NOUN
ajst-15458	11	42	,	,	PUNCT
ajst-15458	11	43	personality	personality	NOUN
ajst-15458	11	44	,	,	PUNCT
ajst-15458	11	45	identity).on	identity).on	DET
ajst-15458	11	46	this	this	DET
ajst-15458	11	47	basis	basis	NOUN
ajst-15458	11	48	,	,	PUNCT
ajst-15458	11	49	25	25	NUM
ajst-15458	11	50	subgroups	subgroup	NOUN
ajst-15458	11	51	are	be	AUX
ajst-15458	11	52	obtained	obtain	VERB
ajst-15458	11	53	by	by	ADP
ajst-15458	11	54	crossing	cross	VERB
ajst-15458	11	55	the	the	DET
ajst-15458	11	56	one	one	NUM
ajst-15458	11	57	-	-	PUNCT
ajst-15458	11	58	dimensional	dimensional	ADJ
ajst-15458	11	59	classification	classification	NOUN
ajst-15458	11	60	of	of	ADP
ajst-15458	11	61	values	value	NOUN
ajst-15458	11	62	and	and	CCONJ
ajst-15458	11	63	social	social	ADJ
ajst-15458	11	64	classes	class	NOUN
ajst-15458	11	65	,	,	PUNCT
ajst-15458	11	66	and	and	CCONJ
ajst-15458	11	67	ten	ten	NUM
ajst-15458	11	68	subgroups	subgroup	NOUN
ajst-15458	11	69	are	be	AUX
ajst-15458	11	70	finally	finally	ADV
ajst-15458	11	71	obtained	obtain	VERB
ajst-15458	11	72	by	by	ADP
ajst-15458	11	73	clustering	cluster	VERB
ajst-15458	11	74	according	accord	VERB
ajst-15458	11	75	to	to	ADP
ajst-15458	11	76	the	the	DET
ajst-15458	11	77	sub	sub	NOUN
ajst-15458	11	78	-	-	NOUN
ajst-15458	11	79	groups	group	NOUN
ajst-15458	11	80	of	of	ADP
ajst-15458	11	81	car	car	NOUN
ajst-15458	11	82	view	view	NOUN
ajst-15458	11	83	.	.	PUNCT
ajst-15458	12	1	although	although	SCONJ
ajst-15458	12	2	the	the	DET
ajst-15458	12	3	population	population	NOUN
ajst-15458	12	4	segmentation	segmentation	NOUN
ajst-15458	12	5	model	model	NOUN
ajst-15458	12	6	mentioned	mention	VERB
ajst-15458	12	7	above	above	ADV
ajst-15458	12	8	has	have	AUX
ajst-15458	12	9	been	be	AUX
ajst-15458	12	10	recognized	recognize	VERB
ajst-15458	12	11	and	and	CCONJ
ajst-15458	12	12	applied	apply	VERB
ajst-15458	12	13	by	by	ADP
ajst-15458	12	14	the	the	DET
ajst-15458	12	15	market	market	NOUN
ajst-15458	12	16	,	,	PUNCT
ajst-15458	12	17	it	it	PRON
ajst-15458	12	18	still	still	ADV
ajst-15458	12	19	has	have	VERB
ajst-15458	12	20	major	major	ADJ
ajst-15458	12	21	limitations	limitation	NOUN
ajst-15458	12	22	,	,	PUNCT
ajst-15458	12	23	and	and	CCONJ
ajst-15458	12	24	most	most	ADJ
ajst-15458	12	25	subjective	subjective	ADJ
ajst-15458	12	26	factors	factor	NOUN
ajst-15458	12	27	such	such	ADJ
ajst-15458	12	28	as	as	ADP
ajst-15458	12	29	values	value	NOUN
ajst-15458	12	30	are	be	AUX
ajst-15458	12	31	used	use	VERB
ajst-15458	12	32	as	as	ADP
ajst-15458	12	33	modeling	model	VERB
ajst-15458	12	34	indicators	indicator	NOUN
ajst-15458	12	35	.	.	PUNCT
ajst-15458	13	1	this	this	DET
ajst-15458	13	2	study	study	NOUN
ajst-15458	13	3	is	be	AUX
ajst-15458	13	4	committed	commit	VERB
ajst-15458	13	5	to	to	ADP
ajst-15458	13	6	building	build	VERB
ajst-15458	13	7	a	a	DET
ajst-15458	13	8	set	set	NOUN
ajst-15458	13	9	of	of	ADP
ajst-15458	13	10	population	population	NOUN
ajst-15458	13	11	segmentation	segmentation	NOUN
ajst-15458	13	12	model	model	NOUN
ajst-15458	13	13	system	system	NOUN
ajst-15458	13	14	based	base	VERB
ajst-15458	13	15	on	on	ADP
ajst-15458	13	16	objective	objective	ADJ
ajst-15458	13	17	indicators	indicator	NOUN
ajst-15458	13	18	,	,	PUNCT
ajst-15458	13	19	so	so	SCONJ
ajst-15458	13	20	that	that	SCONJ
ajst-15458	13	21	personnel	personnel	NOUN
ajst-15458	13	22	of	of	ADP
ajst-15458	13	23	all	all	DET
ajst-15458	13	24	business	business	NOUN
ajst-15458	13	25	links	link	NOUN
ajst-15458	13	26	can	can	AUX
ajst-15458	13	27	reach	reach	VERB
ajst-15458	13	28	a	a	DET
ajst-15458	13	29	unified	unified	ADJ
ajst-15458	13	30	cognition	cognition	NOUN
ajst-15458	13	31	,	,	PUNCT
ajst-15458	13	32	and	and	CCONJ
ajst-15458	13	33	help	help	VERB
ajst-15458	13	34	improve	improve	VERB
ajst-15458	13	35	the	the	DET
ajst-15458	13	36	accuracy	accuracy	NOUN
ajst-15458	13	37	of	of	ADP
ajst-15458	13	38	vehicle	vehicle	NOUN
ajst-15458	13	39	planning	planning	NOUN
ajst-15458	13	40	and	and	CCONJ
ajst-15458	13	41	development	development	NOUN
ajst-15458	13	42	and	and	CCONJ
ajst-15458	13	43	user	user	NOUN
ajst-15458	13	44	positioning	positioning	NOUN
ajst-15458	13	45	.	.	PUNCT
ajst-15458	14	1	table	table	NOUN
ajst-15458	14	2	1	1	NUM
ajst-15458	14	3	.	.	PUNCT
ajst-15458	15	1	data	datum	NOUN
ajst-15458	15	2	of	of	ADP
ajst-15458	15	3	sample	sample	NOUN
ajst-15458	15	4	database	database	NOUN
ajst-15458	15	5	tag	tag	NOUN
ajst-15458	15	6	tag	tag	NOUN
ajst-15458	15	7	value	value	NOUN
ajst-15458	15	8	take	take	VERB
ajst-15458	15	9	up	up	ADP
ajst-15458	15	10	a	a	DET
ajst-15458	15	11	proportion	proportion	NOUN
ajst-15458	15	12	of	of	ADP
ajst-15458	15	13	fuel	fuel	NOUN
ajst-15458	15	14	type	type	NOUN
ajst-15458	15	15	fuel	fuel	NOUN
ajst-15458	15	16	truck	truck	NOUN
ajst-15458	15	17	(	(	PUNCT
ajst-15458	15	18	including	include	VERB
ajst-15458	15	19	hev	hev	NOUN
ajst-15458	15	20	)	)	PUNCT
ajst-15458	15	21	55.0	55.0	NUM
ajst-15458	15	22	%	%	NOUN
ajst-15458	15	23	new	new	ADJ
ajst-15458	15	24	energy	energy	NOUN
ajst-15458	15	25	-ev	-ev	NUM
ajst-15458	15	26	30.0	30.0	NUM
ajst-15458	15	27	%	%	NOUN
ajst-15458	15	28	new	new	ADJ
ajst-15458	15	29	energy	energy	NOUN
ajst-15458	15	30	-phev	-phev	PROPN
ajst-15458	15	31	10.0	10.0	NUM
ajst-15458	15	32	%	%	NOUN
ajst-15458	15	33	new	new	ADJ
ajst-15458	15	34	energy	energy	NOUN
ajst-15458	15	35	-reev	-reev	NOUN
ajst-15458	15	36	5.0	5.0	NUM
ajst-15458	15	37	%	%	NOUN
ajst-15458	15	38	body	body	NOUN
ajst-15458	15	39	form	form	NOUN
ajst-15458	15	40	sedan	sedan	NOUN
ajst-15458	15	41	48.5	48.5	NUM
ajst-15458	15	42	%	%	NOUN
ajst-15458	15	43	suv	suv	PROPN
ajst-15458	15	44	45.0	45.0	NUM
ajst-15458	15	45	%	%	NOUN
ajst-15458	15	46	mpv	mpv	PROPN
ajst-15458	15	47	6.5	6.5	NUM
ajst-15458	15	48	%	%	NOUN
ajst-15458	15	49	region	region	NOUN
ajst-15458	15	50	northeast	northeast	ADJ
ajst-15458	15	51	5.0	5.0	NUM
ajst-15458	15	52	%	%	NOUN
ajst-15458	15	53	north	north	NOUN
ajst-15458	15	54	china	china	PROPN
ajst-15458	15	55	16.0	16.0	NUM
ajst-15458	15	56	%	%	NOUN
ajst-15458	15	57	east	east	PROPN
ajst-15458	15	58	china	china	PROPN
ajst-15458	15	59	22.0	22.0	NUM
ajst-15458	15	60	%	%	NOUN
ajst-15458	15	61	south	south	PROPN
ajst-15458	15	62	china	china	PROPN
ajst-15458	15	63	21.0	21.0	NUM
ajst-15458	15	64	%	%	NOUN
ajst-15458	15	65	central	central	ADJ
ajst-15458	15	66	china	china	PROPN
ajst-15458	15	67	18.0	18.0	NUM
ajst-15458	15	68	%	%	NOUN
ajst-15458	15	69	northwest	northwest	NOUN
ajst-15458	15	70	4.0	4.0	NUM
ajst-15458	15	71	%	%	NOUN
ajst-15458	15	72	southwest	southwest	NOUN
ajst-15458	15	73	14.0	14.0	NUM
ajst-15458	15	74	%	%	NOUN
ajst-15458	15	75	line	line	NOUN
ajst-15458	15	76	level	level	NOUN
ajst-15458	15	77	1	1	NUM
ajst-15458	15	78	17.0	17.0	NUM
ajst-15458	15	79	%	%	NOUN
ajst-15458	15	80	2	2	NUM
ajst-15458	15	81	43.0	43.0	NUM
ajst-15458	15	82	%	%	NOUN
ajst-15458	15	83	3	3	NUM
ajst-15458	15	84	18.0	18.0	NUM
ajst-15458	15	85	%	%	NOUN
ajst-15458	15	86	4	4	NUM
ajst-15458	15	87	14.0	14.0	NUM
ajst-15458	15	88	%	%	NOUN
ajst-15458	15	89	5	5	NUM
ajst-15458	15	90	8.0	8.0	NUM
ajst-15458	15	91	%	%	NOUN
ajst-15458	15	92	age	age	NOUN
ajst-15458	15	93	range	range	VERB
ajst-15458	15	94	18	18	NUM
ajst-15458	15	95	-	-	SYM
ajst-15458	15	96	25	25	NUM
ajst-15458	15	97	years	year	NOUN
ajst-15458	15	98	old	old	ADJ
ajst-15458	15	99	9.0	9.0	NUM
ajst-15458	15	100	%	%	NOUN
ajst-15458	15	101	26	26	NUM
ajst-15458	15	102	-	-	SYM
ajst-15458	15	103	30	30	NUM
ajst-15458	15	104	years	year	NOUN
ajst-15458	15	105	old	old	ADJ
ajst-15458	15	106	22.0	22.0	NUM
ajst-15458	15	107	%	%	NOUN
ajst-15458	15	108	31	31	NUM
ajst-15458	15	109	-	-	SYM
ajst-15458	15	110	35	35	NUM
ajst-15458	15	111	years	year	NOUN
ajst-15458	15	112	old	old	ADJ
ajst-15458	15	113	34.0	34.0	NUM
ajst-15458	15	114	%	%	NOUN
ajst-15458	15	115	36	36	NUM
ajst-15458	15	116	-	-	SYM
ajst-15458	15	117	40	40	NUM
ajst-15458	15	118	years	year	NOUN
ajst-15458	15	119	old	old	ADJ
ajst-15458	15	120	22.0	22.0	NUM
ajst-15458	15	121	%	%	NOUN
ajst-15458	15	122	41	41	NUM
ajst-15458	15	123	-	-	SYM
ajst-15458	15	124	45	45	NUM
ajst-15458	15	125	years	year	NOUN
ajst-15458	15	126	old	old	ADJ
ajst-15458	15	127	10.0	10.0	NUM
ajst-15458	15	128	%	%	NOUN
ajst-15458	15	129	46	46	NUM
ajst-15458	15	130	-	-	SYM
ajst-15458	15	131	50	50	NUM
ajst-15458	15	132	years	year	NOUN
ajst-15458	15	133	old	old	ADJ
ajst-15458	15	134	2.0	2.0	NUM
ajst-15458	15	135	%	%	NOUN
ajst-15458	15	136	over	over	ADP
ajst-15458	15	137	51	51	NUM
ajst-15458	15	138	years	year	NOUN
ajst-15458	15	139	old	old	ADJ
ajst-15458	15	140	1.0	1.0	NUM
ajst-15458	15	141	%	%	NOUN
ajst-15458	15	142	annual	annual	ADJ
ajst-15458	15	143	household	household	NOUN
ajst-15458	15	144	income	income	NOUN
ajst-15458	15	145	less	less	ADJ
ajst-15458	15	146	than	than	ADP
ajst-15458	15	147	50,000	50,000	NUM
ajst-15458	15	148	1.0	1.0	NUM
ajst-15458	15	149	%	%	NOUN
ajst-15458	15	150	50,000	50,000	NUM
ajst-15458	15	151	to	to	PART
ajst-15458	15	152	100,000	100,000	NUM
ajst-15458	15	153	5.0	5.0	NUM
ajst-15458	15	154	%	%	NOUN
ajst-15458	15	155	100,000	100,000	NUM
ajst-15458	15	156	to	to	PART
ajst-15458	15	157	150,000	150,000	NUM
ajst-15458	15	158	14.0	14.0	NUM
ajst-15458	15	159	%	%	NOUN
ajst-15458	15	160	150,000	150,000	NUM
ajst-15458	15	161	to	to	PART
ajst-15458	15	162	200,000	200,000	NUM
ajst-15458	15	163	23.0	23.0	NUM
ajst-15458	15	164	%	%	NOUN
ajst-15458	15	165	200,000	200,000	NUM
ajst-15458	15	166	to	to	PART
ajst-15458	15	167	300,000	300,000	NUM
ajst-15458	15	168	31.0	31.0	NUM
ajst-15458	15	169	%	%	NOUN
ajst-15458	15	170	300,000	300,000	NUM
ajst-15458	15	171	to	to	PART
ajst-15458	15	172	500,000	500,000	NUM
ajst-15458	15	173	21.0	21.0	NUM
ajst-15458	15	174	%	%	NOUN
ajst-15458	15	175	half	half	DET
ajst-15458	15	176	a	a	PRON
ajst-15458	15	177	million	million	NUM
ajst-15458	15	178	to	to	ADP
ajst-15458	15	179	a	a	DET
ajst-15458	15	180	million	million	NUM
ajst-15458	15	181	5.0	5.0	NUM
ajst-15458	15	182	%	%	NOUN
ajst-15458	15	183	first	first	ADJ
ajst-15458	15	184	increase	increase	NOUN
ajst-15458	15	185	and	and	CCONJ
ajst-15458	15	186	replacement	replacement	NOUN
ajst-15458	15	187	purchase	purchase	NOUN
ajst-15458	15	188	first	first	ADJ
ajst-15458	15	189	purchase	purchase	NOUN
ajst-15458	15	190	65.0	65.0	NUM
ajst-15458	15	191	%	%	NOUN
ajst-15458	15	192	buy	buy	VERB
ajst-15458	15	193	more	more	ADJ
ajst-15458	15	194	16.5	16.5	NUM
ajst-15458	15	195	%	%	NOUN
ajst-15458	15	196	trade	trade	NOUN
ajst-15458	15	197	-	-	PUNCT
ajst-15458	15	198	in	in	ADP
ajst-15458	15	199	18.5	18.5	NUM
ajst-15458	15	200	%	%	NOUN
ajst-15458	15	201	marital	marital	ADJ
ajst-15458	15	202	status	status	NOUN
ajst-15458	15	203	be	be	AUX
ajst-15458	15	204	married	marry	VERB
ajst-15458	15	205	82.9	82.9	NUM
ajst-15458	15	206	%	%	NOUN
ajst-15458	15	207	spinster	spinster	NOUN
ajst-15458	15	208	17.1	17.1	NUM
ajst-15458	15	209	%	%	NOUN
ajst-15458	15	210	sex	sex	NOUN
ajst-15458	15	211	male	male	NOUN
ajst-15458	15	212	80.5	80.5	NUM
ajst-15458	15	213	%	%	NOUN
ajst-15458	15	214	female	female	ADJ
ajst-15458	15	215	19.5	19.5	NUM
ajst-15458	15	216	%	%	NOUN
ajst-15458	15	217	educational	educational	ADJ
ajst-15458	15	218	background	background	NOUN
ajst-15458	15	219	high	high	ADJ
ajst-15458	15	220	school	school	NOUN
ajst-15458	15	221	and	and	CCONJ
ajst-15458	15	222	below	below	ADP
ajst-15458	15	223	4.7	4.7	NUM
ajst-15458	15	224	%	%	NOUN
ajst-15458	15	225	college	college	NOUN
ajst-15458	15	226	degree	degree	NOUN
ajst-15458	15	227	or	or	CCONJ
ajst-15458	15	228	equivalent	equivalent	ADJ
ajst-15458	15	229	38.4	38.4	NUM
ajst-15458	15	230	%	%	NOUN
ajst-15458	15	231	undergraduate	undergraduate	NOUN
ajst-15458	15	232	course	course	NOUN
ajst-15458	15	233	54.9	54.9	NUM
ajst-15458	15	234	%	%	NOUN
ajst-15458	15	235	master	master	NOUN
ajst-15458	15	236	degree	degree	NOUN
ajst-15458	15	237	or	or	CCONJ
ajst-15458	15	238	above	above	ADP
ajst-15458	15	239	2.1	2.1	NUM
ajst-15458	15	240	%	%	NOUN
ajst-15458	15	241	living	living	NOUN
ajst-15458	15	242	condition	condition	NOUN
ajst-15458	15	243	native	native	ADJ
ajst-15458	15	244	63.7	63.7	NUM
ajst-15458	15	245	%	%	NOUN
ajst-15458	15	246	move	move	NOUN
ajst-15458	15	247	to	to	PART
ajst-15458	15	248	live	live	VERB
ajst-15458	15	249	locally	locally	ADV
ajst-15458	15	250	for	for	ADP
ajst-15458	15	251	school	school	NOUN
ajst-15458	15	252	/	/	SYM
ajst-15458	15	253	work	work	NOUN
ajst-15458	15	254	19.6	19.6	NUM
ajst-15458	15	255	%	%	NOUN
ajst-15458	15	256	outlander	outlander	NOUN
ajst-15458	15	257	6.6	6.6	NUM
ajst-15458	15	258	%	%	NOUN
ajst-15458	15	259	3	3	NUM
ajst-15458	15	260	.	.	PUNCT
ajst-15458	15	261	route	route	NOUN
ajst-15458	15	262	method	method	NOUN
ajst-15458	15	263	for	for	ADP
ajst-15458	15	264	establishing	establish	VERB
ajst-15458	15	265	passenger	passenger	NOUN
ajst-15458	15	266	car	car	NOUN
ajst-15458	15	267	market	market	NOUN
ajst-15458	15	268	population	population	NOUN
ajst-15458	15	269	classification	classification	NOUN
ajst-15458	15	270	model	model	NOUN
ajst-15458	15	271	based	base	VERB
ajst-15458	15	272	on	on	ADP
ajst-15458	15	273	objective	objective	ADJ
ajst-15458	15	274	indicators	indicator	NOUN
ajst-15458	15	275	3.1	3.1	NUM
ajst-15458	15	276	.	.	PUNCT
ajst-15458	16	1	overview	overview	VERB
ajst-15458	16	2	the	the	DET
ajst-15458	16	3	consumer	consumer	NOUN
ajst-15458	16	4	database	database	NOUN
ajst-15458	16	5	accumulated	accumulate	VERB
ajst-15458	16	6	by	by	ADP
ajst-15458	16	7	the	the	DET
ajst-15458	16	8	brand	brand	PROPN
ajst-15458	16	9	consulting	consulting	PROPN
ajst-15458	16	10	department	department	PROPN
ajst-15458	16	11	of	of	ADP
ajst-15458	16	12	china	china	PROPN
ajst-15458	16	13	automotive	automotive	PROPN
ajst-15458	16	14	information	information	NOUN
ajst-15458	16	15	technology	technology	NOUN
ajst-15458	16	16	in	in	ADP
ajst-15458	16	17	the	the	DET
ajst-15458	16	18	past	past	ADJ
ajst-15458	16	19	two	two	NUM
ajst-15458	16	20	years	year	NOUN
ajst-15458	16	21	is	be	AUX
ajst-15458	16	22	used	use	VERB
ajst-15458	16	23	as	as	ADP
ajst-15458	16	24	the	the	DET
ajst-15458	16	25	data	datum	NOUN
ajst-15458	16	26	source	source	NOUN
ajst-15458	16	27	for	for	ADP
ajst-15458	16	28	this	this	DET
ajst-15458	16	29	modeling	modeling	NOUN
ajst-15458	16	30	.	.	PUNCT
ajst-15458	17	1	the	the	DET
ajst-15458	17	2	first	first	ADJ
ajst-15458	17	3	step	step	NOUN
ajst-15458	17	4	is	be	AUX
ajst-15458	17	5	to	to	PART
ajst-15458	17	6	clean	clean	VERB
ajst-15458	17	7	the	the	DET
ajst-15458	17	8	database	database	NOUN
ajst-15458	17	9	samples	sample	NOUN
ajst-15458	17	10	and	and	CCONJ
ajst-15458	17	11	adjust	adjust	VERB
ajst-15458	17	12	the	the	DET
ajst-15458	17	13	modeling	modeling	NOUN
ajst-15458	17	14	sample	sample	NOUN
ajst-15458	17	15	structure	structure	NOUN
ajst-15458	17	16	based	base	VERB
ajst-15458	17	17	on	on	ADP
ajst-15458	17	18	the	the	DET
ajst-15458	17	19	market	market	NOUN
ajst-15458	17	20	situation	situation	NOUN
ajst-15458	17	21	to	to	PART
ajst-15458	17	22	reflect	reflect	VERB
ajst-15458	17	23	the	the	DET
ajst-15458	17	24	real	real	ADJ
ajst-15458	17	25	situation	situation	NOUN
ajst-15458	17	26	of	of	ADP
ajst-15458	17	27	the	the	DET
ajst-15458	17	28	market	market	NOUN
ajst-15458	17	29	.	.	PUNCT
ajst-15458	18	1	the	the	DET
ajst-15458	18	2	second	second	ADJ
ajst-15458	18	3	step	step	NOUN
ajst-15458	18	4	:	:	PUNCT
ajst-15458	18	5	determine	determine	VERB
ajst-15458	18	6	the	the	DET
ajst-15458	18	7	subdivision	subdivision	NOUN
ajst-15458	18	8	index	index	NOUN
ajst-15458	18	9	system	system	NOUN
ajst-15458	18	10	and	and	CCONJ
ajst-15458	18	11	the	the	DET
ajst-15458	18	12	priority	priority	NOUN
ajst-15458	18	13	of	of	ADP
ajst-15458	18	14	each	each	DET
ajst-15458	18	15	modeling	modeling	NOUN
ajst-15458	18	16	index	index	NOUN
ajst-15458	18	17	;	;	PUNCT
ajst-15458	18	18	the	the	DET
ajst-15458	18	19	third	third	ADJ
ajst-15458	18	20	step	step	NOUN
ajst-15458	18	21	:	:	PUNCT
ajst-15458	18	22	modeling	model	VERB
ajst-15458	18	23	method	method	NOUN
ajst-15458	18	24	determination	determination	NOUN
ajst-15458	18	25	.	.	PUNCT
ajst-15458	19	1	mainly	mainly	ADV
ajst-15458	19	2	through	through	ADP
ajst-15458	19	3	unsupervised	unsupervised	ADJ
ajst-15458	19	4	machine	machine	NOUN
ajst-15458	19	5	learning	learning	NOUN
ajst-15458	19	6	of	of	ADP
ajst-15458	19	7	a	a	DET
ajst-15458	19	8	variety	variety	NOUN
ajst-15458	19	9	of	of	ADP
ajst-15458	19	10	clustering	clustering	ADJ
ajst-15458	19	11	algorithms	algorithm	NOUN
ajst-15458	19	12	(	(	PUNCT
ajst-15458	19	13	k	k	NOUN
ajst-15458	19	14	-	-	PUNCT
ajst-15458	19	15	means	means	ADJ
ajst-15458	19	16	,	,	PUNCT
ajst-15458	19	17	dbscan	dbscan	NOUN
ajst-15458	19	18	,	,	PUNCT
ajst-15458	19	19	etc	etc	X
ajst-15458	19	20	.	.	X
ajst-15458	19	21	)	)	PUNCT
ajst-15458	20	1	and	and	CCONJ
ajst-15458	20	2	other	other	ADJ
ajst-15458	20	3	algorithms	algorithm	NOUN
ajst-15458	20	4	to	to	PART
ajst-15458	20	5	try	try	VERB
ajst-15458	20	6	,	,	PUNCT
ajst-15458	20	7	and	and	CCONJ
ajst-15458	20	8	timely	timely	ADJ
ajst-15458	20	9	adjustment	adjustment	NOUN
ajst-15458	20	10	of	of	ADP
ajst-15458	20	11	the	the	DET
ajst-15458	20	12	process	process	NOUN
ajst-15458	20	13	,	,	PUNCT
ajst-15458	20	14	the	the	DET
ajst-15458	20	15	establishment	establishment	NOUN
ajst-15458	20	16	of	of	ADP
ajst-15458	20	17	passenger	passenger	NOUN
ajst-15458	20	18	car	car	NOUN
ajst-15458	20	19	market	market	NOUN
ajst-15458	20	20	population	population	NOUN
ajst-15458	20	21	segmentation	segmentation	NOUN
ajst-15458	20	22	model	model	NOUN
ajst-15458	20	23	.	.	PUNCT
ajst-15458	21	1	3.2	3.2	NUM
ajst-15458	21	2	.	.	PUNCT
ajst-15458	22	1	database	database	NOUN
ajst-15458	22	2	establishment	establishment	NOUN
ajst-15458	22	3	and	and	CCONJ
ajst-15458	22	4	cleaning	clean	VERB
ajst-15458	22	5	the	the	DET
ajst-15458	22	6	market	market	NOUN
ajst-15458	22	7	research	research	NOUN
ajst-15458	22	8	project	project	NOUN
ajst-15458	22	9	data	datum	NOUN
ajst-15458	22	10	(	(	PUNCT
ajst-15458	22	11	22,899	22,899	NUM
ajst-15458	22	12	items	item	NOUN
ajst-15458	22	13	)	)	PUNCT
ajst-15458	22	14	accumulated	accumulate	VERB
ajst-15458	22	15	by	by	ADP
ajst-15458	22	16	the	the	DET
ajst-15458	22	17	brand	brand	PROPN
ajst-15458	22	18	consulting	consulting	PROPN
ajst-15458	22	19	department	department	PROPN
ajst-15458	22	20	of	of	ADP
ajst-15458	22	21	china	china	PROPN
ajst-15458	22	22	automotive	automotive	PROPN
ajst-15458	22	23	information	information	NOUN
ajst-15458	22	24	technology	technology	NOUN
ajst-15458	22	25	in	in	ADP
ajst-15458	22	26	the	the	DET
ajst-15458	22	27	past	past	ADJ
ajst-15458	22	28	two	two	NUM
ajst-15458	22	29	years	year	NOUN
ajst-15458	22	30	is	be	AUX
ajst-15458	22	31	used	use	VERB
ajst-15458	22	32	as	as	ADP
ajst-15458	22	33	the	the	DET
ajst-15458	22	34	database	database	NOUN
ajst-15458	22	35	of	of	ADP
ajst-15458	22	36	this	this	DET
ajst-15458	22	37	modeling	modeling	NOUN
ajst-15458	22	38	,	,	PUNCT
ajst-15458	22	39	which	which	PRON
ajst-15458	22	40	includes	include	VERB
ajst-15458	22	41	16	16	NUM
ajst-15458	22	42	objective	objective	ADJ
ajst-15458	22	43	indicators	indicator	NOUN
ajst-15458	22	44	such	such	ADJ
ajst-15458	22	45	as	as	ADP
ajst-15458	22	46	line	line	NOUN
ajst-15458	22	47	level	level	NOUN
ajst-15458	22	48	,	,	PUNCT
ajst-15458	22	49	age	age	NOUN
ajst-15458	22	50	,	,	PUNCT
ajst-15458	22	51	whether	whether	SCONJ
ajst-15458	22	52	you	you	PRON
ajst-15458	22	53	have	have	VERB
ajst-15458	22	54	children	child	NOUN
ajst-15458	22	55	,	,	PUNCT
ajst-15458	22	56	education	education	NOUN
ajst-15458	22	57	background	background	NOUN
ajst-15458	22	58	,	,	PUNCT
ajst-15458	22	59	family	family	NOUN
ajst-15458	22	60	annual	annual	ADJ
ajst-15458	22	61	income	income	NOUN
ajst-15458	22	62	,	,	PUNCT
ajst-15458	22	63	76	76	NUM
ajst-15458	22	64	region	region	NOUN
ajst-15458	22	65	,	,	PUNCT
ajst-15458	22	66	gender	gender	NOUN
ajst-15458	22	67	,	,	PUNCT
ajst-15458	22	68	marriage	marriage	NOUN
ajst-15458	22	69	,	,	PUNCT
ajst-15458	22	70	age	age	NOUN
ajst-15458	22	71	range	range	NOUN
ajst-15458	22	72	,	,	PUNCT
ajst-15458	22	73	and	and	CCONJ
ajst-15458	22	74	generation	generation	NOUN
ajst-15458	22	75	.	.	PUNCT
ajst-15458	23	1	according	accord	VERB
ajst-15458	23	2	to	to	ADP
ajst-15458	23	3	the	the	DET
ajst-15458	23	4	established	establish	VERB
ajst-15458	23	5	cleaning	cleaning	NOUN
ajst-15458	23	6	standards	standard	NOUN
ajst-15458	23	7	,	,	PUNCT
ajst-15458	23	8	the	the	DET
ajst-15458	23	9	database	database	NOUN
ajst-15458	23	10	is	be	AUX
ajst-15458	23	11	cleaned	clean	VERB
ajst-15458	23	12	,	,	PUNCT
ajst-15458	23	13	including	include	VERB
ajst-15458	23	14	the	the	DET
ajst-15458	23	15	processing	processing	NOUN
ajst-15458	23	16	of	of	ADP
ajst-15458	23	17	missing	miss	VERB
ajst-15458	23	18	sample	sample	NOUN
ajst-15458	23	19	outliers	outlier	NOUN
ajst-15458	23	20	,	,	PUNCT
ajst-15458	23	21	the	the	DET
ajst-15458	23	22	unification	unification	NOUN
ajst-15458	23	23	of	of	ADP
ajst-15458	23	24	label	label	NOUN
ajst-15458	23	25	values	value	NOUN
ajst-15458	23	26	,	,	PUNCT
ajst-15458	23	27	and	and	CCONJ
ajst-15458	23	28	the	the	DET
ajst-15458	23	29	supplement	supplement	NOUN
ajst-15458	23	30	of	of	ADP
ajst-15458	23	31	derivative	derivative	ADJ
ajst-15458	23	32	indicators	indicator	NOUN
ajst-15458	23	33	.	.	PUNCT
ajst-15458	24	1	in	in	ADP
ajst-15458	24	2	order	order	NOUN
ajst-15458	24	3	to	to	PART
ajst-15458	24	4	make	make	VERB
ajst-15458	24	5	the	the	DET
ajst-15458	24	6	sample	sample	NOUN
ajst-15458	24	7	structure	structure	NOUN
ajst-15458	24	8	more	more	ADV
ajst-15458	24	9	truly	truly	ADV
ajst-15458	24	10	reflect	reflect	VERB
ajst-15458	24	11	the	the	DET
ajst-15458	24	12	market	market	NOUN
ajst-15458	24	13	situation	situation	NOUN
ajst-15458	24	14	,	,	PUNCT
ajst-15458	24	15	the	the	DET
ajst-15458	24	16	sample	sample	NOUN
ajst-15458	24	17	structure	structure	NOUN
ajst-15458	24	18	is	be	AUX
ajst-15458	24	19	adjusted	adjust	VERB
ajst-15458	24	20	,	,	PUNCT
ajst-15458	24	21	and	and	CCONJ
ajst-15458	24	22	the	the	DET
ajst-15458	24	23	priority	priority	NOUN
ajst-15458	24	24	of	of	ADP
ajst-15458	24	25	sample	sample	NOUN
ajst-15458	24	26	structure	structure	NOUN
ajst-15458	24	27	adjustment	adjustment	NOUN
ajst-15458	24	28	and	and	CCONJ
ajst-15458	24	29	adjustment	adjustment	NOUN
ajst-15458	24	30	principle	principle	NOUN
ajst-15458	24	31	are	be	AUX
ajst-15458	24	32	confirmed	confirm	VERB
ajst-15458	24	33	according	accord	VERB
ajst-15458	24	34	to	to	ADP
ajst-15458	24	35	the	the	DET
ajst-15458	24	36	passenger	passenger	NOUN
ajst-15458	24	37	car	car	NOUN
ajst-15458	24	38	market	market	NOUN
ajst-15458	24	39	situation	situation	NOUN
ajst-15458	24	40	and	and	CCONJ
ajst-15458	24	41	business	business	NOUN
ajst-15458	24	42	needs	need	NOUN
ajst-15458	24	43	.	.	PUNCT
ajst-15458	25	1	the	the	DET
ajst-15458	25	2	final	final	ADJ
ajst-15458	25	3	sample	sample	NOUN
ajst-15458	25	4	base	base	NOUN
ajst-15458	25	5	structure	structure	NOUN
ajst-15458	25	6	is	be	AUX
ajst-15458	25	7	shown	show	VERB
ajst-15458	25	8	in	in	ADP
ajst-15458	25	9	the	the	DET
ajst-15458	25	10	table	table	NOUN
ajst-15458	25	11	1	1	NUM
ajst-15458	25	12	:	:	SYM
ajst-15458	25	13	3.3	3.3	NUM
ajst-15458	25	14	.	.	PUNCT
ajst-15458	26	1	confirming	confirm	VERB
ajst-15458	26	2	indicators	indicator	NOUN
ajst-15458	26	3	and	and	CCONJ
ajst-15458	26	4	priorities	priority	NOUN
ajst-15458	26	5	after	after	SCONJ
ajst-15458	26	6	the	the	DET
ajst-15458	26	7	database	database	NOUN
ajst-15458	26	8	is	be	AUX
ajst-15458	26	9	built	build	VERB
ajst-15458	26	10	,	,	PUNCT
ajst-15458	26	11	the	the	DET
ajst-15458	26	12	priorities	priority	NOUN
ajst-15458	26	13	of	of	ADP
ajst-15458	26	14	the	the	DET
ajst-15458	26	15	modeling	modeling	NOUN
ajst-15458	26	16	indicators	indicator	NOUN
ajst-15458	26	17	are	be	AUX
ajst-15458	26	18	determined	determine	VERB
ajst-15458	26	19	according	accord	VERB
ajst-15458	26	20	to	to	ADP
ajst-15458	26	21	the	the	DET
ajst-15458	26	22	data	datum	NOUN
ajst-15458	26	23	,	,	PUNCT
ajst-15458	26	24	actual	actual	ADJ
ajst-15458	26	25	business	business	NOUN
ajst-15458	26	26	and	and	CCONJ
ajst-15458	26	27	past	past	ADJ
ajst-15458	26	28	research	research	NOUN
ajst-15458	26	29	experience	experience	NOUN
ajst-15458	26	30	:	:	PUNCT
ajst-15458	26	31	the	the	DET
ajst-15458	26	32	first	first	ADJ
ajst-15458	26	33	priority	priority	NOUN
ajst-15458	26	34	is	be	AUX
ajst-15458	26	35	the	the	DET
ajst-15458	26	36	urban	urban	ADJ
ajst-15458	26	37	regional	regional	ADJ
ajst-15458	26	38	line	line	NOUN
ajst-15458	26	39	level	level	NOUN
ajst-15458	26	40	,	,	PUNCT
ajst-15458	26	41	education	education	NOUN
ajst-15458	26	42	background	background	NOUN
ajst-15458	26	43	,	,	PUNCT
ajst-15458	26	44	marital	marital	ADJ
ajst-15458	26	45	status	status	NOUN
ajst-15458	26	46	,	,	PUNCT
ajst-15458	26	47	family	family	NOUN
ajst-15458	26	48	annual	annual	ADJ
ajst-15458	26	49	income	income	NOUN
ajst-15458	26	50	,	,	PUNCT
ajst-15458	26	51	gender	gender	NOUN
ajst-15458	26	52	,	,	PUNCT
ajst-15458	26	53	whether	whether	SCONJ
ajst-15458	26	54	there	there	PRON
ajst-15458	26	55	are	be	VERB
ajst-15458	26	56	children	child	NOUN
ajst-15458	26	57	,	,	PUNCT
ajst-15458	26	58	and	and	CCONJ
ajst-15458	26	59	the	the	DET
ajst-15458	26	60	intergenerational	intergenerational	ADJ
ajst-15458	26	61	age	age	NOUN
ajst-15458	26	62	-	-	PUNCT
ajst-15458	26	63	age	age	NOUN
ajst-15458	26	64	range	range	NOUN
ajst-15458	26	65	;	;	PUNCT
ajst-15458	26	66	the	the	DET
ajst-15458	26	67	second	second	ADJ
ajst-15458	26	68	priority	priority	NOUN
ajst-15458	26	69	is	be	AUX
ajst-15458	26	70	the	the	DET
ajst-15458	26	71	nature	nature	NOUN
ajst-15458	26	72	of	of	ADP
ajst-15458	26	73	the	the	DET
ajst-15458	26	74	unit	unit	NOUN
ajst-15458	26	75	,	,	PUNCT
ajst-15458	26	76	the	the	DET
ajst-15458	26	77	first	first	ADJ
ajst-15458	26	78	increase	increase	NOUN
ajst-15458	26	79	and	and	CCONJ
ajst-15458	26	80	purchase	purchase	NOUN
ajst-15458	26	81	.	.	PUNCT
ajst-15458	27	1	3.4	3.4	NUM
ajst-15458	27	2	.	.	PUNCT
ajst-15458	27	3	modeling	modeling	NOUN
ajst-15458	27	4	method	method	NOUN
ajst-15458	27	5	supervised	supervise	VERB
ajst-15458	27	6	algorithm	algorithm	NOUN
ajst-15458	27	7	and	and	CCONJ
ajst-15458	27	8	unsupervised	unsupervised	ADJ
ajst-15458	27	9	algorithm	algorithm	NOUN
ajst-15458	27	10	are	be	AUX
ajst-15458	27	11	two	two	NUM
ajst-15458	27	12	common	common	ADJ
ajst-15458	27	13	types	type	NOUN
ajst-15458	27	14	of	of	ADP
ajst-15458	27	15	algorithms	algorithm	NOUN
ajst-15458	27	16	in	in	ADP
ajst-15458	27	17	machine	machine	NOUN
ajst-15458	27	18	learning	learning	NOUN
ajst-15458	27	19	,	,	PUNCT
ajst-15458	27	20	and	and	CCONJ
ajst-15458	27	21	they	they	PRON
ajst-15458	27	22	have	have	VERB
ajst-15458	27	23	different	different	ADJ
ajst-15458	27	24	characteristics	characteristic	NOUN
ajst-15458	27	25	in	in	ADP
ajst-15458	27	26	data	data	NOUN
ajst-15458	27	27	processing	processing	NOUN
ajst-15458	27	28	and	and	CCONJ
ajst-15458	27	29	problem	problem	NOUN
ajst-15458	27	30	solving.[4,5	solving.[4,5	VERB
ajst-15458	27	31	]	]	X
ajst-15458	27	32	a	a	DET
ajst-15458	27	33	supervised	supervised	ADJ
ajst-15458	27	34	algorithm	algorithm	NOUN
ajst-15458	27	35	is	be	AUX
ajst-15458	27	36	an	an	DET
ajst-15458	27	37	algorithm	algorithm	NOUN
ajst-15458	27	38	that	that	PRON
ajst-15458	27	39	uses	use	VERB
ajst-15458	27	40	labeled	label	VERB
ajst-15458	27	41	training	training	NOUN
ajst-15458	27	42	data	datum	NOUN
ajst-15458	27	43	to	to	PART
ajst-15458	27	44	train	train	VERB
ajst-15458	27	45	a	a	DET
ajst-15458	27	46	model	model	NOUN
ajst-15458	27	47	and	and	CCONJ
ajst-15458	27	48	make	make	VERB
ajst-15458	27	49	predictions	prediction	NOUN
ajst-15458	27	50	.	.	PUNCT
ajst-15458	28	1	in	in	ADP
ajst-15458	28	2	supervised	supervised	ADJ
ajst-15458	28	3	learning	learning	NOUN
ajst-15458	28	4	,	,	PUNCT
ajst-15458	28	5	we	we	PRON
ajst-15458	28	6	have	have	VERB
ajst-15458	28	7	input	input	NOUN
ajst-15458	28	8	data	datum	NOUN
ajst-15458	28	9	and	and	CCONJ
ajst-15458	28	10	corresponding	correspond	VERB
ajst-15458	28	11	outputs	output	NOUN
ajst-15458	28	12	(	(	PUNCT
ajst-15458	28	13	or	or	CCONJ
ajst-15458	28	14	labels	label	NOUN
ajst-15458	28	15	)	)	PUNCT
ajst-15458	28	16	,	,	PUNCT
ajst-15458	28	17	and	and	CCONJ
ajst-15458	28	18	the	the	DET
ajst-15458	28	19	goal	goal	NOUN
ajst-15458	28	20	of	of	ADP
ajst-15458	28	21	the	the	DET
ajst-15458	28	22	algorithm	algorithm	NOUN
ajst-15458	28	23	is	be	AUX
ajst-15458	28	24	to	to	PART
ajst-15458	28	25	learn	learn	VERB
ajst-15458	28	26	a	a	DET
ajst-15458	28	27	function	function	NOUN
ajst-15458	28	28	(	(	PUNCT
ajst-15458	28	29	model	model	NOUN
ajst-15458	28	30	)	)	PUNCT
ajst-15458	28	31	from	from	ADP
ajst-15458	28	32	the	the	DET
ajst-15458	28	33	input	input	NOUN
ajst-15458	28	34	data	datum	NOUN
ajst-15458	28	35	that	that	PRON
ajst-15458	28	36	maps	map	VERB
ajst-15458	28	37	the	the	DET
ajst-15458	28	38	input	input	NOUN
ajst-15458	28	39	to	to	ADP
ajst-15458	28	40	the	the	DET
ajst-15458	28	41	correct	correct	ADJ
ajst-15458	28	42	output	output	NOUN
ajst-15458	28	43	data	datum	NOUN
ajst-15458	28	44	.	.	PUNCT
ajst-15458	29	1	common	common	ADJ
ajst-15458	29	2	supervised	supervised	ADJ
ajst-15458	29	3	learning	learning	NOUN
ajst-15458	29	4	algorithms	algorithm	NOUN
ajst-15458	29	5	include	include	VERB
ajst-15458	29	6	decision	decision	NOUN
ajst-15458	29	7	tree	tree	NOUN
ajst-15458	29	8	,	,	PUNCT
ajst-15458	29	9	support	support	VERB
ajst-15458	29	10	vector	vector	NOUN
ajst-15458	29	11	machine	machine	NOUN
ajst-15458	29	12	,	,	PUNCT
ajst-15458	29	13	logistic	logistic	ADJ
ajst-15458	29	14	regression	regression	NOUN
ajst-15458	29	15	and	and	CCONJ
ajst-15458	29	16	neural	neural	ADJ
ajst-15458	29	17	network	network	NOUN
ajst-15458	29	18	.	.	PUNCT
ajst-15458	30	1	unsupervised	unsupervised	ADJ
ajst-15458	30	2	algorithm	algorithm	NOUN
ajst-15458	30	3	is	be	AUX
ajst-15458	30	4	an	an	DET
ajst-15458	30	5	algorithm	algorithm	NOUN
ajst-15458	30	6	that	that	PRON
ajst-15458	30	7	uses	use	VERB
ajst-15458	30	8	unlabeled	unlabeled	ADJ
ajst-15458	30	9	training	training	NOUN
ajst-15458	30	10	data	datum	NOUN
ajst-15458	30	11	for	for	ADP
ajst-15458	30	12	pattern	pattern	NOUN
ajst-15458	30	13	recognition	recognition	NOUN
ajst-15458	30	14	and	and	CCONJ
ajst-15458	30	15	data	datum	NOUN
ajst-15458	30	16	clustering	cluster	VERB
ajst-15458	30	17	.	.	PUNCT
ajst-15458	31	1	in	in	ADP
ajst-15458	31	2	unsupervised	unsupervised	ADJ
ajst-15458	31	3	learning	learning	NOUN
ajst-15458	31	4	,	,	PUNCT
ajst-15458	31	5	we	we	PRON
ajst-15458	31	6	only	only	ADV
ajst-15458	31	7	have	have	VERB
ajst-15458	31	8	input	input	NOUN
ajst-15458	31	9	data	datum	NOUN
ajst-15458	31	10	,	,	PUNCT
ajst-15458	31	11	no	no	DET
ajst-15458	31	12	labels	label	NOUN
ajst-15458	31	13	or	or	CCONJ
ajst-15458	31	14	category	category	NOUN
ajst-15458	31	15	information	information	NOUN
ajst-15458	31	16	,	,	PUNCT
ajst-15458	31	17	and	and	CCONJ
ajst-15458	31	18	the	the	DET
ajst-15458	31	19	goal	goal	NOUN
ajst-15458	31	20	of	of	ADP
ajst-15458	31	21	the	the	DET
ajst-15458	31	22	algorithm	algorithm	NOUN
ajst-15458	31	23	is	be	AUX
ajst-15458	31	24	to	to	PART
ajst-15458	31	25	discover	discover	VERB
ajst-15458	31	26	intrinsic	intrinsic	ADJ
ajst-15458	31	27	structures	structure	NOUN
ajst-15458	31	28	,	,	PUNCT
ajst-15458	31	29	patterns	pattern	NOUN
ajst-15458	31	30	,	,	PUNCT
ajst-15458	31	31	or	or	CCONJ
ajst-15458	31	32	regularities	regularity	NOUN
ajst-15458	31	33	in	in	ADP
ajst-15458	31	34	the	the	DET
ajst-15458	31	35	data	datum	NOUN
ajst-15458	31	36	.	.	PUNCT
ajst-15458	32	1	it	it	PRON
ajst-15458	32	2	is	be	AUX
ajst-15458	32	3	mainly	mainly	ADV
ajst-15458	32	4	used	use	VERB
ajst-15458	32	5	in	in	ADP
ajst-15458	32	6	clustering	clustering	NOUN
ajst-15458	32	7	,	,	PUNCT
ajst-15458	32	8	reduction	reduction	NOUN
ajst-15458	32	9	and	and	CCONJ
ajst-15458	32	10	anomaly	anomaly	NOUN
ajst-15458	32	11	detection	detection	NOUN
ajst-15458	32	12	.	.	PUNCT
ajst-15458	33	1	clustering	clustering	NOUN
ajst-15458	33	2	is	be	AUX
ajst-15458	33	3	the	the	DET
ajst-15458	33	4	task	task	NOUN
ajst-15458	33	5	of	of	ADP
ajst-15458	33	6	dividing	divide	VERB
ajst-15458	33	7	data	datum	NOUN
ajst-15458	33	8	into	into	ADP
ajst-15458	33	9	similar	similar	ADJ
ajst-15458	33	10	groups	group	NOUN
ajst-15458	33	11	(	(	PUNCT
ajst-15458	33	12	clusters	cluster	NOUN
ajst-15458	33	13	)	)	PUNCT
ajst-15458	33	14	;	;	PUNCT
ajst-15458	33	15	dimensionality	dimensionality	NOUN
ajst-15458	33	16	reduction	reduction	NOUN
ajst-15458	33	17	is	be	AUX
ajst-15458	33	18	the	the	DET
ajst-15458	33	19	reduction	reduction	NOUN
ajst-15458	33	20	of	of	ADP
ajst-15458	33	21	data	datum	NOUN
ajst-15458	33	22	dimensions	dimension	NOUN
ajst-15458	33	23	to	to	PART
ajst-15458	33	24	remove	remove	VERB
ajst-15458	33	25	redundant	redundant	ADJ
ajst-15458	33	26	features	feature	NOUN
ajst-15458	33	27	.	.	PUNCT
ajst-15458	34	1	anomaly	anomaly	PROPN
ajst-15458	34	2	detection	detection	NOUN
ajst-15458	34	3	is	be	AUX
ajst-15458	34	4	the	the	DET
ajst-15458	34	5	identification	identification	NOUN
ajst-15458	34	6	of	of	ADP
ajst-15458	34	7	outliers	outlier	NOUN
ajst-15458	34	8	that	that	PRON
ajst-15458	34	9	differ	differ	VERB
ajst-15458	34	10	from	from	ADP
ajst-15458	34	11	other	other	ADJ
ajst-15458	34	12	samples	sample	NOUN
ajst-15458	34	13	.	.	PUNCT
ajst-15458	35	1	application	application	NOUN
ajst-15458	35	2	scenarios	scenario	NOUN
ajst-15458	35	3	include	include	VERB
ajst-15458	35	4	data	datum	NOUN
ajst-15458	35	5	mining	mining	NOUN
ajst-15458	35	6	,	,	PUNCT
ajst-15458	35	7	market	market	NOUN
ajst-15458	35	8	analysis	analysis	NOUN
ajst-15458	35	9	,	,	PUNCT
ajst-15458	35	10	and	and	CCONJ
ajst-15458	35	11	recommendation	recommendation	NOUN
ajst-15458	35	12	systems	system	NOUN
ajst-15458	35	13	.	.	PUNCT
ajst-15458	36	1	there	there	PRON
ajst-15458	36	2	are	be	VERB
ajst-15458	36	3	obvious	obvious	ADJ
ajst-15458	36	4	differences	difference	NOUN
ajst-15458	36	5	between	between	ADP
ajst-15458	36	6	supervised	supervised	ADJ
ajst-15458	36	7	algorithm	algorithm	NOUN
ajst-15458	36	8	and	and	CCONJ
ajst-15458	36	9	unsupervised	unsupervised	ADJ
ajst-15458	36	10	algorithm	algorithm	NOUN
ajst-15458	36	11	in	in	ADP
ajst-15458	36	12	training	training	NOUN
ajst-15458	36	13	process	process	NOUN
ajst-15458	36	14	and	and	CCONJ
ajst-15458	36	15	application	application	NOUN
ajst-15458	36	16	scenario	scenario	NOUN
ajst-15458	36	17	.	.	PUNCT
ajst-15458	37	1	supervised	supervise	VERB
ajst-15458	37	2	algorithms	algorithm	NOUN
ajst-15458	37	3	need	need	VERB
ajst-15458	37	4	labeled	labeled	ADJ
ajst-15458	37	5	training	training	NOUN
ajst-15458	37	6	data	datum	NOUN
ajst-15458	37	7	to	to	PART
ajst-15458	37	8	make	make	VERB
ajst-15458	37	9	predictions	prediction	NOUN
ajst-15458	37	10	by	by	ADP
ajst-15458	37	11	learning	learn	VERB
ajst-15458	37	12	the	the	DET
ajst-15458	37	13	relationship	relationship	NOUN
ajst-15458	37	14	between	between	ADP
ajst-15458	37	15	inputs	input	NOUN
ajst-15458	37	16	and	and	CCONJ
ajst-15458	37	17	corresponding	corresponding	ADJ
ajst-15458	37	18	outputs	output	NOUN
ajst-15458	37	19	.	.	PUNCT
ajst-15458	38	1	unsupervised	unsupervised	ADJ
ajst-15458	38	2	algorithms	algorithm	NOUN
ajst-15458	38	3	,	,	PUNCT
ajst-15458	38	4	on	on	ADP
ajst-15458	38	5	the	the	DET
ajst-15458	38	6	other	other	ADJ
ajst-15458	38	7	hand	hand	NOUN
ajst-15458	38	8	,	,	PUNCT
ajst-15458	38	9	model	model	NOUN
ajst-15458	38	10	and	and	CCONJ
ajst-15458	38	11	analyze	analyze	NOUN
ajst-15458	38	12	data	datum	NOUN
ajst-15458	38	13	based	base	VERB
ajst-15458	38	14	on	on	ADP
ajst-15458	38	15	its	its	PRON
ajst-15458	38	16	own	own	ADJ
ajst-15458	38	17	statistical	statistical	ADJ
ajst-15458	38	18	characteristics	characteristic	NOUN
ajst-15458	38	19	,	,	PUNCT
ajst-15458	38	20	and	and	CCONJ
ajst-15458	38	21	discover	discover	VERB
ajst-15458	38	22	patterns	pattern	NOUN
ajst-15458	38	23	and	and	CCONJ
ajst-15458	38	24	structures	structure	NOUN
ajst-15458	38	25	in	in	ADP
ajst-15458	38	26	it	it	PRON
ajst-15458	38	27	.	.	PUNCT
ajst-15458	39	1	based	base	VERB
ajst-15458	39	2	on	on	ADP
ajst-15458	39	3	the	the	DET
ajst-15458	39	4	above	above	ADJ
ajst-15458	39	5	analysis	analysis	NOUN
ajst-15458	39	6	and	and	CCONJ
ajst-15458	39	7	business	business	NOUN
ajst-15458	39	8	needs	need	NOUN
ajst-15458	39	9	,	,	PUNCT
ajst-15458	39	10	unsupervised	unsupervised	ADJ
ajst-15458	39	11	algorithm	algorithm	NOUN
ajst-15458	39	12	is	be	AUX
ajst-15458	39	13	selected	select	VERB
ajst-15458	39	14	as	as	ADP
ajst-15458	39	15	the	the	DET
ajst-15458	39	16	modeling	modeling	NOUN
ajst-15458	39	17	method	method	NOUN
ajst-15458	39	18	of	of	ADP
ajst-15458	39	19	this	this	DET
ajst-15458	39	20	model	model	NOUN
ajst-15458	39	21	.	.	PUNCT
ajst-15458	40	1	4	4	X
ajst-15458	40	2	.	.	PUNCT
ajst-15458	40	3	model	model	NOUN
ajst-15458	40	4	establishment	establishment	NOUN
ajst-15458	40	5	and	and	CCONJ
ajst-15458	40	6	evaluation	evaluation	NOUN
ajst-15458	40	7	4.1	4.1	NUM
ajst-15458	40	8	.	.	PUNCT
ajst-15458	41	1	modeling	model	VERB
ajst-15458	41	2	algorithm	algorithm	NOUN
ajst-15458	41	3	4.1.1	4.1.1	NUM
ajst-15458	41	4	.	.	PUNCT
ajst-15458	42	1	modeling	model	VERB
ajst-15458	42	2	algorithm	algorithm	NOUN
ajst-15458	42	3	selection	selection	NOUN
ajst-15458	42	4	according	accord	VERB
ajst-15458	42	5	to	to	ADP
ajst-15458	42	6	the	the	DET
ajst-15458	42	7	objective	objective	ADJ
ajst-15458	42	8	database	database	NOUN
ajst-15458	42	9	situation	situation	NOUN
ajst-15458	42	10	and	and	CCONJ
ajst-15458	42	11	modeling	modeling	NOUN
ajst-15458	42	12	purpose	purpose	NOUN
ajst-15458	42	13	,	,	PUNCT
ajst-15458	42	14	for	for	ADP
ajst-15458	42	15	data	datum	NOUN
ajst-15458	42	16	sets	set	NOUN
ajst-15458	42	17	containing	contain	VERB
ajst-15458	42	18	different	different	ADJ
ajst-15458	42	19	types	type	NOUN
ajst-15458	42	20	of	of	ADP
ajst-15458	42	21	variables	variable	NOUN
ajst-15458	42	22	,	,	PUNCT
ajst-15458	42	23	this	this	DET
ajst-15458	42	24	modeling	modeling	NOUN
ajst-15458	42	25	uses	use	VERB
ajst-15458	42	26	clustering	cluster	VERB
ajst-15458	42	27	algorithms	algorithm	NOUN
ajst-15458	42	28	based	base	VERB
ajst-15458	42	29	on	on	ADP
ajst-15458	42	30	distance	distance	NOUN
ajst-15458	42	31	or	or	CCONJ
ajst-15458	42	32	similarity	similarity	NOUN
ajst-15458	42	33	,	,	PUNCT
ajst-15458	42	34	such	such	ADJ
ajst-15458	42	35	as	as	ADP
ajst-15458	42	36	k	k	NOUN
ajst-15458	42	37	-	-	PUNCT
ajst-15458	42	38	means	means	NOUN
ajst-15458	42	39	,	,	PUNCT
ajst-15458	42	40	k	k	NOUN
ajst-15458	42	41	-	-	PUNCT
ajst-15458	42	42	medoids	medoid	NOUN
ajst-15458	42	43	,	,	PUNCT
ajst-15458	42	44	dbscan	dbscan	NOUN
ajst-15458	42	45	,	,	PUNCT
ajst-15458	42	46	etc.[6	etc.[6	NOUN
ajst-15458	42	47	-	-	SYM
ajst-15458	42	48	8	8	NUM
ajst-15458	42	49	]	]	X
ajst-15458	42	50	k	k	ADJ
ajst-15458	42	51	-	-	PUNCT
ajst-15458	42	52	means	means	NOUN
ajst-15458	42	53	algorithm	algorithm	NOUN
ajst-15458	42	54	is	be	AUX
ajst-15458	42	55	a	a	DET
ajst-15458	42	56	distance	distance	NOUN
ajst-15458	42	57	-	-	PUNCT
ajst-15458	42	58	based	base	VERB
ajst-15458	42	59	iterative	iterative	NOUN
ajst-15458	42	60	clustering	clustering	ADJ
ajst-15458	42	61	algorithm	algorithm	NOUN
ajst-15458	42	62	,	,	PUNCT
ajst-15458	42	63	whose	whose	DET
ajst-15458	42	64	goal	goal	NOUN
ajst-15458	42	65	is	be	AUX
ajst-15458	42	66	to	to	PART
ajst-15458	42	67	divide	divide	VERB
ajst-15458	42	68	the	the	DET
ajst-15458	42	69	data	datum	NOUN
ajst-15458	42	70	set	set	VERB
ajst-15458	42	71	into	into	ADP
ajst-15458	42	72	k	k	PROPN
ajst-15458	42	73	nonoverlapping	nonoverlapping	PROPN
ajst-15458	42	74	clusters	cluster	NOUN
ajst-15458	42	75	,	,	PUNCT
ajst-15458	42	76	so	so	SCONJ
ajst-15458	42	77	that	that	SCONJ
ajst-15458	42	78	the	the	DET
ajst-15458	42	79	samples	sample	NOUN
ajst-15458	42	80	within	within	ADP
ajst-15458	42	81	each	each	DET
ajst-15458	42	82	cluster	cluster	NOUN
ajst-15458	42	83	are	be	AUX
ajst-15458	42	84	as	as	ADV
ajst-15458	42	85	close	close	ADJ
ajst-15458	42	86	to	to	ADP
ajst-15458	42	87	each	each	DET
ajst-15458	42	88	other	other	ADJ
ajst-15458	42	89	as	as	ADP
ajst-15458	42	90	possible	possible	ADJ
ajst-15458	42	91	,	,	PUNCT
ajst-15458	42	92	and	and	CCONJ
ajst-15458	42	93	the	the	DET
ajst-15458	42	94	samples	sample	NOUN
ajst-15458	42	95	between	between	ADP
ajst-15458	42	96	different	different	ADJ
ajst-15458	42	97	clusters	cluster	NOUN
ajst-15458	42	98	are	be	AUX
ajst-15458	42	99	as	as	ADV
ajst-15458	42	100	far	far	ADV
ajst-15458	42	101	away	away	ADV
ajst-15458	42	102	as	as	ADP
ajst-15458	42	103	possible	possible	ADJ
ajst-15458	42	104	.	.	PUNCT
ajst-15458	43	1	k	k	X
ajst-15458	43	2	-	-	PUNCT
ajst-15458	43	3	means	mean	VERB
ajst-15458	43	4	uses	use	VERB
ajst-15458	43	5	distance	distance	NOUN
ajst-15458	43	6	as	as	SCONJ
ajst-15458	43	7	the	the	DET
ajst-15458	43	8	similarity	similarity	NOUN
ajst-15458	43	9	index	index	NOUN
ajst-15458	43	10	to	to	PART
ajst-15458	43	11	find	find	VERB
ajst-15458	43	12	k	k	PROPN
ajst-15458	43	13	classes	class	NOUN
ajst-15458	43	14	in	in	ADP
ajst-15458	43	15	a	a	DET
ajst-15458	43	16	given	give	VERB
ajst-15458	43	17	data	datum	NOUN
ajst-15458	43	18	set	set	NOUN
ajst-15458	43	19	,	,	PUNCT
ajst-15458	43	20	and	and	CCONJ
ajst-15458	43	21	the	the	DET
ajst-15458	43	22	cluster	cluster	NOUN
ajst-15458	43	23	center	center	NOUN
ajst-15458	43	24	of	of	ADP
ajst-15458	43	25	each	each	DET
ajst-15458	43	26	class	class	NOUN
ajst-15458	43	27	is	be	AUX
ajst-15458	43	28	obtained	obtain	VERB
ajst-15458	43	29	according	accord	VERB
ajst-15458	43	30	to	to	ADP
ajst-15458	43	31	the	the	DET
ajst-15458	43	32	mean	mean	ADJ
ajst-15458	43	33	value	value	NOUN
ajst-15458	43	34	of	of	ADP
ajst-15458	43	35	all	all	DET
ajst-15458	43	36	values	value	NOUN
ajst-15458	43	37	in	in	ADP
ajst-15458	43	38	the	the	DET
ajst-15458	43	39	class	class	NOUN
ajst-15458	43	40	,	,	PUNCT
ajst-15458	43	41	and	and	CCONJ
ajst-15458	43	42	the	the	DET
ajst-15458	43	43	center	center	NOUN
ajst-15458	43	44	of	of	ADP
ajst-15458	43	45	each	each	DET
ajst-15458	43	46	class	class	NOUN
ajst-15458	43	47	is	be	AUX
ajst-15458	43	48	described	describe	VERB
ajst-15458	43	49	by	by	ADP
ajst-15458	43	50	the	the	DET
ajst-15458	43	51	cluster	cluster	NOUN
ajst-15458	43	52	center	center	NOUN
ajst-15458	43	53	.	.	PUNCT
ajst-15458	44	1	the	the	DET
ajst-15458	44	2	l	l	NOUN
ajst-15458	44	3	-	-	PUNCT
ajst-15458	44	4	medoids	medoid	NOUN
ajst-15458	44	5	algorithm	algorithm	NOUN
ajst-15458	44	6	is	be	AUX
ajst-15458	44	7	an	an	DET
ajst-15458	44	8	improved	improved	ADJ
ajst-15458	44	9	version	version	NOUN
ajst-15458	44	10	of	of	ADP
ajst-15458	44	11	the	the	DET
ajst-15458	44	12	kmeans	kmeans	PROPN
ajst-15458	44	13	algorithm	algorithm	NOUN
ajst-15458	44	14	,	,	PUNCT
ajst-15458	44	15	mainly	mainly	ADV
ajst-15458	44	16	for	for	ADP
ajst-15458	44	17	processing	processing	NOUN
ajst-15458	44	18	data	datum	NOUN
ajst-15458	44	19	in	in	ADP
ajst-15458	44	20	noneuclidean	noneuclidean	ADJ
ajst-15458	44	21	spaces	space	NOUN
ajst-15458	44	22	.	.	PUNCT
ajst-15458	45	1	unlike	unlike	ADP
ajst-15458	45	2	k	k	NOUN
ajst-15458	45	3	-	-	PUNCT
ajst-15458	45	4	means	mean	NOUN
ajst-15458	45	5	,	,	PUNCT
ajst-15458	45	6	the	the	DET
ajst-15458	45	7	cluster	cluster	NOUN
ajst-15458	45	8	center	center	NOUN
ajst-15458	45	9	of	of	ADP
ajst-15458	45	10	the	the	DET
ajst-15458	45	11	k	k	PROPN
ajst-15458	45	12	-	-	PUNCT
ajst-15458	45	13	medoids	medoid	NOUN
ajst-15458	45	14	algorithm	algorithm	NOUN
ajst-15458	45	15	is	be	AUX
ajst-15458	45	16	taken	take	VERB
ajst-15458	45	17	from	from	ADP
ajst-15458	45	18	the	the	DET
ajst-15458	45	19	samples	sample	NOUN
ajst-15458	45	20	that	that	PRON
ajst-15458	45	21	actually	actually	ADV
ajst-15458	45	22	exist	exist	VERB
ajst-15458	45	23	in	in	ADP
ajst-15458	45	24	the	the	DET
ajst-15458	45	25	data	datum	NOUN
ajst-15458	45	26	set	set	VERB
ajst-15458	45	27	,	,	PUNCT
ajst-15458	45	28	rather	rather	ADV
ajst-15458	45	29	than	than	ADP
ajst-15458	45	30	simply	simply	ADV
ajst-15458	45	31	calculating	calculate	VERB
ajst-15458	45	32	the	the	DET
ajst-15458	45	33	mean	mean	NOUN
ajst-15458	45	34	of	of	ADP
ajst-15458	45	35	the	the	DET
ajst-15458	45	36	samples	sample	NOUN
ajst-15458	45	37	within	within	ADP
ajst-15458	45	38	the	the	DET
ajst-15458	45	39	cluster	cluster	NOUN
ajst-15458	45	40	.	.	PUNCT
ajst-15458	46	1	its	its	PRON
ajst-15458	46	2	execution	execution	NOUN
ajst-15458	46	3	steps	step	NOUN
ajst-15458	46	4	are	be	AUX
ajst-15458	46	5	as	as	SCONJ
ajst-15458	46	6	follows	follow	VERB
ajst-15458	46	7	:	:	PUNCT
ajst-15458	46	8	select	select	ADJ
ajst-15458	46	9	k	k	PROPN
ajst-15458	46	10	initial	initial	ADJ
ajst-15458	46	11	center	center	NOUN
ajst-15458	46	12	points	point	NOUN
ajst-15458	46	13	at	at	ADP
ajst-15458	46	14	random	random	ADJ
ajst-15458	46	15	→	→	PUNCT
ajst-15458	46	16	calculate	calculate	VERB
ajst-15458	46	17	the	the	DET
ajst-15458	46	18	distance	distance	NOUN
ajst-15458	46	19	between	between	ADP
ajst-15458	46	20	each	each	DET
ajst-15458	46	21	sample	sample	NOUN
ajst-15458	46	22	and	and	CCONJ
ajst-15458	46	23	each	each	DET
ajst-15458	46	24	center	center	NOUN
ajst-15458	46	25	point	point	NOUN
ajst-15458	46	26	and	and	CCONJ
ajst-15458	46	27	divide	divide	VERB
ajst-15458	46	28	it	it	PRON
ajst-15458	46	29	into	into	ADP
ajst-15458	46	30	the	the	DET
ajst-15458	46	31	cluster	cluster	NOUN
ajst-15458	46	32	represented	represent	VERB
ajst-15458	46	33	by	by	ADP
ajst-15458	46	34	the	the	DET
ajst-15458	46	35	nearest	near	ADJ
ajst-15458	46	36	center	center	ADJ
ajst-15458	46	37	point	point	NOUN
ajst-15458	46	38	→	→	PUNCT
ajst-15458	46	39	for	for	ADP
ajst-15458	46	40	each	each	DET
ajst-15458	46	41	cluster	cluster	NOUN
ajst-15458	46	42	,	,	PUNCT
ajst-15458	46	43	select	select	VERB
ajst-15458	46	44	other	other	ADJ
ajst-15458	46	45	samples	sample	NOUN
ajst-15458	46	46	in	in	ADP
ajst-15458	46	47	the	the	DET
ajst-15458	46	48	cluster	cluster	NOUN
ajst-15458	46	49	as	as	SCONJ
ajst-15458	46	50	the	the	DET
ajst-15458	46	51	new	new	ADJ
ajst-15458	46	52	center	center	NOUN
ajst-15458	46	53	point	point	NOUN
ajst-15458	46	54	so	so	SCONJ
ajst-15458	46	55	as	as	SCONJ
ajst-15458	46	56	to	to	PART
ajst-15458	46	57	minimize	minimize	VERB
ajst-15458	46	58	the	the	DET
ajst-15458	46	59	total	total	ADJ
ajst-15458	46	60	distance	distance	NOUN
ajst-15458	46	61	between	between	ADP
ajst-15458	46	62	all	all	DET
ajst-15458	46	63	samples	sample	NOUN
ajst-15458	46	64	in	in	ADP
ajst-15458	46	65	the	the	DET
ajst-15458	46	66	cluster	cluster	NOUN
ajst-15458	46	67	and	and	CCONJ
ajst-15458	46	68	the	the	DET
ajst-15458	46	69	new	new	ADJ
ajst-15458	46	70	center	center	NOUN
ajst-15458	46	71	point	point	NOUN
ajst-15458	46	72	→	→	PUNCT
ajst-15458	46	73	repeat	repeat	VERB
ajst-15458	46	74	the	the	DET
ajst-15458	46	75	above	above	ADP
ajst-15458	46	76	two	two	NUM
ajst-15458	46	77	steps.until	steps.until	NUM
ajst-15458	46	78	the	the	DET
ajst-15458	46	79	position	position	NOUN
ajst-15458	46	80	of	of	ADP
ajst-15458	46	81	the	the	DET
ajst-15458	46	82	center	center	NOUN
ajst-15458	46	83	point	point	NOUN
ajst-15458	46	84	no	no	ADV
ajst-15458	46	85	longer	long	ADV
ajst-15458	46	86	changes	change	NOUN
ajst-15458	46	87	or	or	CCONJ
ajst-15458	46	88	reaches	reach	VERB
ajst-15458	46	89	a	a	DET
ajst-15458	46	90	predetermined	predetermined	ADJ
ajst-15458	46	91	number	number	NOUN
ajst-15458	46	92	of	of	ADP
ajst-15458	46	93	iterations	iteration	NOUN
ajst-15458	46	94	.	.	PUNCT
ajst-15458	47	1	dbscan	dbscan	NOUN
ajst-15458	47	2	(	(	PUNCT
ajst-15458	47	3	density	density	NOUN
ajst-15458	47	4	-	-	PUNCT
ajst-15458	47	5	based	base	VERB
ajst-15458	47	6	spatial	spatial	ADJ
ajst-15458	47	7	clustering	clustering	NOUN
ajst-15458	47	8	of	of	ADP
ajst-15458	47	9	applications	application	NOUN
ajst-15458	47	10	with	with	ADP
ajst-15458	47	11	noise	noise	NOUN
ajst-15458	47	12	)	)	PUNCT
ajst-15458	47	13	is	be	AUX
ajst-15458	47	14	a	a	DET
ajst-15458	47	15	density	density	NOUN
ajst-15458	47	16	-	-	PUNCT
ajst-15458	47	17	based	base	VERB
ajst-15458	47	18	clustering	clustering	ADJ
ajst-15458	47	19	algorithm	algorithm	NOUN
ajst-15458	47	20	that	that	PRON
ajst-15458	47	21	can	can	AUX
ajst-15458	47	22	efficiently	efficiently	ADV
ajst-15458	47	23	find	find	VERB
ajst-15458	47	24	clusters	cluster	NOUN
ajst-15458	47	25	with	with	ADP
ajst-15458	47	26	arbitrary	arbitrary	ADJ
ajst-15458	47	27	shapes	shape	NOUN
ajst-15458	47	28	.	.	PUNCT
ajst-15458	48	1	compared	compare	VERB
ajst-15458	48	2	with	with	ADP
ajst-15458	48	3	k	k	NOUN
ajst-15458	48	4	-	-	PUNCT
ajst-15458	48	5	means	mean	NOUN
ajst-15458	48	6	and	and	CCONJ
ajst-15458	48	7	k	k	NOUN
ajst-15458	48	8	-	-	NOUN
ajst-15458	48	9	medoids	medoid	NOUN
ajst-15458	48	10	,	,	PUNCT
ajst-15458	48	11	dbscan	dbscan	NOUN
ajst-15458	48	12	does	do	AUX
ajst-15458	48	13	not	not	PART
ajst-15458	48	14	need	need	VERB
ajst-15458	48	15	to	to	PART
ajst-15458	48	16	specify	specify	VERB
ajst-15458	48	17	the	the	DET
ajst-15458	48	18	number	number	NOUN
ajst-15458	48	19	of	of	ADP
ajst-15458	48	20	clusters	cluster	NOUN
ajst-15458	48	21	in	in	ADP
ajst-15458	48	22	advance	advance	NOUN
ajst-15458	48	23	.	.	PUNCT
ajst-15458	49	1	the	the	DET
ajst-15458	49	2	main	main	ADJ
ajst-15458	49	3	idea	idea	NOUN
ajst-15458	49	4	is	be	AUX
ajst-15458	49	5	to	to	PART
ajst-15458	49	6	determine	determine	VERB
ajst-15458	49	7	the	the	DET
ajst-15458	49	8	boundary	boundary	NOUN
ajst-15458	49	9	of	of	ADP
ajst-15458	49	10	the	the	DET
ajst-15458	49	11	cluster	cluster	NOUN
ajst-15458	49	12	based	base	VERB
ajst-15458	49	13	on	on	ADP
ajst-15458	49	14	the	the	DET
ajst-15458	49	15	density	density	NOUN
ajst-15458	49	16	between	between	ADP
ajst-15458	49	17	the	the	DET
ajst-15458	49	18	samples	sample	NOUN
ajst-15458	49	19	.	.	PUNCT
ajst-15458	50	1	perform	perform	VERB
ajst-15458	50	2	the	the	DET
ajst-15458	50	3	following	follow	VERB
ajst-15458	50	4	steps	step	NOUN
ajst-15458	50	5	to	to	PART
ajst-15458	50	6	perform	perform	VERB
ajst-15458	50	7	dbscan	dbscan	NOUN
ajst-15458	50	8	:	:	PUNCT
ajst-15458	50	9	select	select	VERB
ajst-15458	50	10	an	an	DET
ajst-15458	50	11	unvisited	unvisited	ADJ
ajst-15458	50	12	sample	sample	NOUN
ajst-15458	50	13	at	at	ADP
ajst-15458	50	14	random	random	ADJ
ajst-15458	50	15	→	→	PUNCT
ajst-15458	50	16	if	if	SCONJ
ajst-15458	50	17	the	the	DET
ajst-15458	50	18	neighborhood	neighborhood	NOUN
ajst-15458	50	19	density	density	NOUN
ajst-15458	50	20	of	of	ADP
ajst-15458	50	21	the	the	DET
ajst-15458	50	22	sample	sample	NOUN
ajst-15458	50	23	is	be	AUX
ajst-15458	50	24	greater	great	ADJ
ajst-15458	50	25	than	than	ADP
ajst-15458	50	26	the	the	DET
ajst-15458	50	27	set	set	NOUN
ajst-15458	50	28	threshold	threshold	NOUN
ajst-15458	50	29	,	,	PUNCT
ajst-15458	50	30	divide	divide	VERB
ajst-15458	50	31	the	the	DET
ajst-15458	50	32	sample	sample	NOUN
ajst-15458	50	33	and	and	CCONJ
ajst-15458	50	34	its	its	PRON
ajst-15458	50	35	density	density	NOUN
ajst-15458	50	36	reachable	reachable	ADJ
ajst-15458	50	37	samples	sample	NOUN
ajst-15458	50	38	into	into	ADP
ajst-15458	50	39	a	a	DET
ajst-15458	50	40	new	new	ADJ
ajst-15458	50	41	cluster	cluster	NOUN
ajst-15458	50	42	→	→	PUNCT
ajst-15458	50	43	continue	continue	VERB
ajst-15458	50	44	to	to	PART
ajst-15458	50	45	perform	perform	VERB
ajst-15458	50	46	density	density	NOUN
ajst-15458	50	47	reachable	reachable	ADJ
ajst-15458	50	48	judgment	judgment	NOUN
ajst-15458	50	49	on	on	ADP
ajst-15458	50	50	each	each	DET
ajst-15458	50	51	sample	sample	NOUN
ajst-15458	50	52	in	in	ADP
ajst-15458	50	53	the	the	DET
ajst-15458	50	54	new	new	ADJ
ajst-15458	50	55	cluster	cluster	NOUN
ajst-15458	50	56	until	until	SCONJ
ajst-15458	50	57	no	no	DET
ajst-15458	50	58	new	new	ADJ
ajst-15458	50	59	density	density	NOUN
ajst-15458	50	60	reachable	reachable	ADJ
ajst-15458	50	61	samples	sample	NOUN
ajst-15458	50	62	can	can	AUX
ajst-15458	50	63	be	be	AUX
ajst-15458	50	64	found	find	VERB
ajst-15458	50	65	→	→	SYM
ajst-15458	50	66	determine	determine	VERB
ajst-15458	50	67	noise	noise	NOUN
ajst-15458	50	68	points	point	NOUN
ajst-15458	50	69	or	or	CCONJ
ajst-15458	50	70	smaller	small	ADJ
ajst-15458	50	71	clusters	cluster	NOUN
ajst-15458	50	72	in	in	ADP
ajst-15458	50	73	all	all	DET
ajst-15458	50	74	unvisited	unvisited	ADJ
ajst-15458	50	75	samples	sample	NOUN
ajst-15458	50	76	.	.	PUNCT
ajst-15458	51	1	considering	consider	VERB
ajst-15458	51	2	the	the	DET
ajst-15458	51	3	situation	situation	NOUN
ajst-15458	51	4	of	of	ADP
ajst-15458	51	5	sample	sample	NOUN
ajst-15458	51	6	database	database	NOUN
ajst-15458	51	7	,	,	PUNCT
ajst-15458	51	8	the	the	DET
ajst-15458	51	9	k	k	NOUN
ajst-15458	51	10	-	-	PUNCT
ajst-15458	51	11	means	means	NOUN
ajst-15458	51	12	algorithm	algorithm	NOUN
ajst-15458	51	13	is	be	AUX
ajst-15458	51	14	mainly	mainly	ADV
ajst-15458	51	15	selected	select	VERB
ajst-15458	51	16	for	for	ADP
ajst-15458	51	17	this	this	DET
ajst-15458	51	18	modeling	modeling	NOUN
ajst-15458	51	19	.	.	PUNCT
ajst-15458	52	1	4.1.2	4.1.2	NUM
ajst-15458	52	2	.	.	PUNCT
ajst-15458	52	3	evaluation	evaluation	NOUN
ajst-15458	52	4	index	index	NOUN
ajst-15458	52	5	of	of	ADP
ajst-15458	52	6	modeling	model	VERB
ajst-15458	52	7	algorithm	algorithm	NOUN
ajst-15458	52	8	a	a	DET
ajst-15458	52	9	common	common	ADJ
ajst-15458	52	10	algorithm	algorithm	NOUN
ajst-15458	52	11	evaluation	evaluation	NOUN
ajst-15458	52	12	index	index	NOUN
ajst-15458	52	13	is	be	AUX
ajst-15458	52	14	the	the	DET
ajst-15458	52	15	silhouette	silhouette	NOUN
ajst-15458	52	16	coefficient	coefficient	NOUN
ajst-15458	52	17	,	,	PUNCT
ajst-15458	52	18	which	which	PRON
ajst-15458	52	19	takes	take	VERB
ajst-15458	52	20	into	into	ADP
ajst-15458	52	21	account	account	NOUN
ajst-15458	52	22	in	in	ADP
ajst-15458	52	23	-	-	PUNCT
ajst-15458	52	24	cluster	cluster	NOUN
ajst-15458	52	25	tightness	tightness	NOUN
ajst-15458	52	26	and	and	CCONJ
ajst-15458	52	27	inter	inter	ADJ
ajst-15458	52	28	-	-	ADJ
ajst-15458	52	29	cluster	cluster	NOUN
ajst-15458	52	30	separation	separation	NOUN
ajst-15458	52	31	.	.	PUNCT
ajst-15458	53	1	the	the	PRON
ajst-15458	53	2	closer	close	ADV
ajst-15458	53	3	the	the	DET
ajst-15458	53	4	value	value	NOUN
ajst-15458	53	5	is	be	AUX
ajst-15458	53	6	to	to	ADP
ajst-15458	53	7	1	1	NUM
ajst-15458	53	8	,	,	PUNCT
ajst-15458	53	9	the	the	PRON
ajst-15458	53	10	better	well	ADJ
ajst-15458	53	11	the	the	DET
ajst-15458	53	12	clustering	clustering	ADJ
ajst-15458	53	13	effect	effect	NOUN
ajst-15458	53	14	.	.	PUNCT
ajst-15458	54	1	the	the	DET
ajst-15458	54	2	contour	contour	NOUN
ajst-15458	54	3	coefficient	coefficient	NOUN
ajst-15458	54	4	takes	take	VERB
ajst-15458	54	5	into	into	ADP
ajst-15458	54	6	account	account	NOUN
ajst-15458	54	7	the	the	DET
ajst-15458	54	8	tightness	tightness	NOUN
ajst-15458	54	9	of	of	ADP
ajst-15458	54	10	samples	sample	NOUN
ajst-15458	54	11	within	within	ADP
ajst-15458	54	12	clusters	cluster	NOUN
ajst-15458	54	13	and	and	CCONJ
ajst-15458	54	14	the	the	DET
ajst-15458	54	15	separation	separation	NOUN
ajst-15458	54	16	of	of	ADP
ajst-15458	54	17	samples	sample	NOUN
ajst-15458	54	18	between	between	ADP
ajst-15458	54	19	clusters	cluster	NOUN
ajst-15458	54	20	.	.	PUNCT
ajst-15458	55	1	for	for	ADP
ajst-15458	55	2	each	each	DET
ajst-15458	55	3	sample	sample	NOUN
ajst-15458	55	4	,	,	PUNCT
ajst-15458	55	5	calculate	calculate	VERB
ajst-15458	55	6	its	its	PRON
ajst-15458	55	7	average	average	ADJ
ajst-15458	55	8	distance	distance	NOUN
ajst-15458	55	9	(	(	PUNCT
ajst-15458	55	10	a	a	NOUN
ajst-15458	55	11	)	)	PUNCT
ajst-15458	55	12	from	from	ADP
ajst-15458	55	13	other	other	ADJ
ajst-15458	55	14	samples	sample	NOUN
ajst-15458	55	15	in	in	ADP
ajst-15458	55	16	the	the	DET
ajst-15458	55	17	same	same	ADJ
ajst-15458	55	18	cluster	cluster	NOUN
ajst-15458	55	19	and	and	CCONJ
ajst-15458	55	20	its	its	PRON
ajst-15458	55	21	average	average	ADJ
ajst-15458	55	22	=	=	PROPN
ajst-15458	55	23	-098	-098	PROPN
ajst-15458	55	24	distance	distance	NOUN
ajst-15458	55	25	(	(	PUNCT
ajst-15458	55	26	b	b	NOUN
ajst-15458	55	27	)	)	PUNCT
ajst-15458	55	28	from	from	ADP
ajst-15458	55	29	samples	sample	NOUN
ajst-15458	55	30	in	in	ADP
ajst-15458	55	31	the	the	DET
ajst-15458	55	32	nearest	near	ADJ
ajst-15458	55	33	cluster	cluster	NOUN
ajst-15458	55	34	,	,	PUNCT
ajst-15458	55	35	and	and	CCONJ
ajst-15458	55	36	then	then	ADV
ajst-15458	55	37	calculate	calculate	VERB
ajst-15458	55	38	the	the	DET
ajst-15458	55	39	profile	profile	ADJ
ajst-15458	55	40	coefficient	coefficient	NOUN
ajst-15458	55	41	as	as	ADP
ajst-15458	55	42	(	(	PUNCT
ajst-15458	55	43	b	b	NOUN
ajst-15458	55	44	-	-	PUNCT
ajst-15458	55	45	a)/max(a	a)/max(a	NOUN
ajst-15458	55	46	,	,	PUNCT
ajst-15458	55	47	b	b	NOUN
ajst-15458	55	48	)	)	PUNCT
ajst-15458	55	49	.	.	PUNCT
ajst-15458	56	1	the	the	DET
ajst-15458	56	2	value	value	NOUN
ajst-15458	56	3	of	of	ADP
ajst-15458	56	4	the	the	DET
ajst-15458	56	5	contour	contour	NOUN
ajst-15458	56	6	coefficient	coefficient	NOUN
ajst-15458	56	7	ranges	range	VERB
ajst-15458	56	8	from	from	ADP
ajst-15458	56	9	-1	-1	INTJ
ajst-15458	56	10	to	to	ADP
ajst-15458	56	11	1	1	NUM
ajst-15458	56	12	,	,	PUNCT
ajst-15458	56	13	where	where	SCONJ
ajst-15458	56	14	closer	close	ADJ
ajst-15458	56	15	to	to	PART
ajst-15458	56	16	1	1	NUM
ajst-15458	56	17	means	mean	VERB
ajst-15458	56	18	that	that	SCONJ
ajst-15458	56	19	the	the	DET
ajst-15458	56	20	sample	sample	NOUN
ajst-15458	56	21	is	be	AUX
ajst-15458	56	22	more	more	ADV
ajst-15458	56	23	clustered	clustered	ADJ
ajst-15458	56	24	in	in	ADP
ajst-15458	56	25	the	the	DET
ajst-15458	56	26	correct	correct	ADJ
ajst-15458	56	27	cluster	cluster	NOUN
ajst-15458	56	28	,	,	PUNCT
ajst-15458	56	29	and	and	CCONJ
ajst-15458	56	30	closer	close	ADJ
ajst-15458	56	31	to	to	PART
ajst-15458	56	32	-1	-1	VERB
ajst-15458	56	33	means	mean	VERB
ajst-15458	56	34	that	that	SCONJ
ajst-15458	56	35	the	the	DET
ajst-15458	56	36	sample	sample	NOUN
ajst-15458	56	37	is	be	AUX
ajst-15458	56	38	more	more	ADV
ajst-15458	56	39	likely	likely	ADJ
ajst-15458	56	40	to	to	PART
ajst-15458	56	41	be	be	AUX
ajst-15458	56	42	assigned	assign	VERB
ajst-15458	56	43	to	to	ADP
ajst-15458	56	44	the	the	DET
ajst-15458	56	45	wrong	wrong	ADJ
ajst-15458	56	46	cluster	cluster	NOUN
ajst-15458	56	47	.	.	PUNCT
ajst-15458	57	1	another	another	DET
ajst-15458	57	2	common	common	ADJ
ajst-15458	57	3	evaluation	evaluation	NOUN
ajst-15458	57	4	criterion	criterion	NOUN
ajst-15458	57	5	for	for	ADP
ajst-15458	57	6	modeling	modeling	NOUN
ajst-15458	57	7	algorithms	algorithms	NOUN
ajst-15458	57	8	is	be	AUX
ajst-15458	57	9	the	the	DET
ajst-15458	57	10	elbow	elbow	NOUN
ajst-15458	57	11	method	method	NOUN
ajst-15458	57	12	,	,	PUNCT
ajst-15458	57	13	which	which	PRON
ajst-15458	57	14	helps	help	VERB
ajst-15458	57	15	us	we	PRON
ajst-15458	57	16	find	find	VERB
ajst-15458	57	17	a	a	DET
ajst-15458	57	18	suitable	suitable	ADJ
ajst-15458	57	19	k	k	PROPN
ajst-15458	57	20	value	value	NOUN
ajst-15458	57	21	by	by	ADP
ajst-15458	57	22	plotting	plot	VERB
ajst-15458	57	23	the	the	DET
ajst-15458	57	24	sum	sum	NOUN
ajst-15458	57	25	of	of	ADP
ajst-15458	57	26	squares	square	NOUN
ajst-15458	57	27	of	of	ADP
ajst-15458	57	28	error	error	NOUN
ajst-15458	57	29	(	(	PUNCT
ajst-15458	57	30	sse	sse	NOUN
ajst-15458	57	31	)	)	PUNCT
ajst-15458	57	32	of	of	ADP
ajst-15458	57	33	clustering	clustering	ADJ
ajst-15458	57	34	results	result	NOUN
ajst-15458	57	35	with	with	ADP
ajst-15458	57	36	different	different	ADJ
ajst-15458	57	37	k	k	PROPN
ajst-15458	57	38	values	value	NOUN
ajst-15458	57	39	over	over	ADP
ajst-15458	57	40	k.	k.	PROPN
ajst-15458	57	41	up	up	ADP
ajst-15458	57	42	to	to	ADP
ajst-15458	57	43	a	a	DET
ajst-15458	57	44	certain	certain	ADJ
ajst-15458	57	45	point	point	NOUN
ajst-15458	57	46	,	,	PUNCT
ajst-15458	57	47	subsequent	subsequent	ADJ
ajst-15458	57	48	increases	increase	NOUN
ajst-15458	57	49	in	in	ADP
ajst-15458	57	50	the	the	DET
ajst-15458	57	51	value	value	NOUN
ajst-15458	57	52	of	of	ADP
ajst-15458	57	53	k	k	PROPN
ajst-15458	57	54	do	do	AUX
ajst-15458	57	55	not	not	PART
ajst-15458	57	56	significantly	significantly	ADV
ajst-15458	57	57	reduce	reduce	VERB
ajst-15458	57	58	the	the	DET
ajst-15458	57	59	sum	sum	NOUN
ajst-15458	57	60	of	of	ADP
ajst-15458	57	61	squares	square	NOUN
ajst-15458	57	62	of	of	ADP
ajst-15458	57	63	error	error	NOUN
ajst-15458	57	64	.	.	PUNCT
ajst-15458	58	1	an	an	DET
ajst-15458	58	2	inflection	inflection	NOUN
ajst-15458	58	3	77	77	NUM
ajst-15458	58	4	point	point	NOUN
ajst-15458	58	5	is	be	AUX
ajst-15458	58	6	formed	form	VERB
ajst-15458	58	7	where	where	SCONJ
ajst-15458	58	8	the	the	DET
ajst-15458	58	9	value	value	NOUN
ajst-15458	58	10	of	of	ADP
ajst-15458	58	11	k	k	PROPN
ajst-15458	58	12	is	be	AUX
ajst-15458	58	13	such	such	ADJ
ajst-15458	58	14	that	that	SCONJ
ajst-15458	58	15	a	a	DET
ajst-15458	58	16	balance	balance	NOUN
ajst-15458	58	17	is	be	AUX
ajst-15458	58	18	found	find	VERB
ajst-15458	58	19	between	between	ADP
ajst-15458	58	20	the	the	DET
ajst-15458	58	21	model	model	NOUN
ajst-15458	58	22	complexity	complexity	NOUN
ajst-15458	58	23	(	(	PUNCT
ajst-15458	58	24	i.e.	i.e.	X
ajst-15458	58	25	,	,	PUNCT
ajst-15458	58	26	the	the	DET
ajst-15458	58	27	value	value	NOUN
ajst-15458	58	28	of	of	ADP
ajst-15458	58	29	k	k	NOUN
ajst-15458	58	30	)	)	PUNCT
ajst-15458	58	31	and	and	CCONJ
ajst-15458	58	32	the	the	DET
ajst-15458	58	33	clustering	clustering	ADJ
ajst-15458	58	34	effect	effect	NOUN
ajst-15458	58	35	(	(	PUNCT
ajst-15458	58	36	sse	sse	NOUN
ajst-15458	58	37	)	)	PUNCT
ajst-15458	58	38	,	,	PUNCT
ajst-15458	58	39	which	which	PRON
ajst-15458	58	40	can	can	AUX
ajst-15458	58	41	be	be	AUX
ajst-15458	58	42	considered	consider	VERB
ajst-15458	58	43	the	the	DET
ajst-15458	58	44	optimal	optimal	ADJ
ajst-15458	58	45	number	number	NOUN
ajst-15458	58	46	of	of	ADP
ajst-15458	58	47	clusters	cluster	NOUN
ajst-15458	58	48	k.	k.	PROPN
ajst-15458	58	49	4.2	4.2	NUM
ajst-15458	58	50	.	.	PUNCT
ajst-15458	59	1	data	datum	NOUN
ajst-15458	59	2	preparation	preparation	NOUN
ajst-15458	59	3	commonly	commonly	ADV
ajst-15458	59	4	used	use	VERB
ajst-15458	59	5	clustering	cluster	VERB
ajst-15458	59	6	algorithms	algorithm	NOUN
ajst-15458	59	7	such	such	ADJ
ajst-15458	59	8	as	as	ADP
ajst-15458	59	9	k	k	NOUN
ajst-15458	59	10	-	-	PUNCT
ajst-15458	59	11	means	means	NOUN
ajst-15458	59	12	algorithm	algorithm	NOUN
ajst-15458	59	13	,	,	PUNCT
ajst-15458	59	14	dbscan	dbscan	NOUN
ajst-15458	59	15	algorithm	algorithm	NOUN
ajst-15458	59	16	,	,	PUNCT
ajst-15458	59	17	etc	etc	X
ajst-15458	59	18	.	.	X
ajst-15458	59	19	are	be	AUX
ajst-15458	59	20	suitable	suitable	ADJ
ajst-15458	59	21	for	for	ADP
ajst-15458	59	22	numerical	numerical	ADJ
ajst-15458	59	23	variables	variable	NOUN
ajst-15458	59	24	because	because	SCONJ
ajst-15458	59	25	distance	distance	NOUN
ajst-15458	59	26	measures	measure	NOUN
ajst-15458	59	27	are	be	AUX
ajst-15458	59	28	needed	need	VERB
ajst-15458	59	29	to	to	PART
ajst-15458	59	30	determine	determine	VERB
ajst-15458	59	31	the	the	DET
ajst-15458	59	32	similarity	similarity	NOUN
ajst-15458	59	33	between	between	ADP
ajst-15458	59	34	data	datum	NOUN
ajst-15458	59	35	points	point	NOUN
ajst-15458	59	36	.	.	PUNCT
ajst-15458	60	1	this	this	PRON
ajst-15458	60	2	means	mean	VERB
ajst-15458	60	3	that	that	SCONJ
ajst-15458	60	4	the	the	DET
ajst-15458	60	5	input	input	NOUN
ajst-15458	60	6	data	datum	NOUN
ajst-15458	60	7	should	should	AUX
ajst-15458	60	8	be	be	AUX
ajst-15458	60	9	composed	compose	VERB
ajst-15458	60	10	of	of	ADP
ajst-15458	60	11	real	real	ADJ
ajst-15458	60	12	numbers	number	NOUN
ajst-15458	60	13	or	or	CCONJ
ajst-15458	60	14	numerical	numerical	ADJ
ajst-15458	60	15	features	feature	NOUN
ajst-15458	60	16	,	,	PUNCT
ajst-15458	60	17	i.e.	i.e.	X
ajst-15458	60	18	the	the	DET
ajst-15458	60	19	algorithm	algorithm	NOUN
ajst-15458	60	20	can	can	AUX
ajst-15458	60	21	not	not	PART
ajst-15458	60	22	be	be	AUX
ajst-15458	60	23	directly	directly	ADV
ajst-15458	60	24	applied	apply	VERB
ajst-15458	60	25	to	to	ADP
ajst-15458	60	26	the	the	DET
ajst-15458	60	27	category	category	NOUN
ajst-15458	60	28	variable	variable	NOUN
ajst-15458	60	29	and	and	CCONJ
ajst-15458	60	30	needs	need	VERB
ajst-15458	60	31	to	to	PART
ajst-15458	60	32	be	be	AUX
ajst-15458	60	33	encoded	encode	VERB
ajst-15458	60	34	to	to	PART
ajst-15458	60	35	convert	convert	VERB
ajst-15458	60	36	the	the	DET
ajst-15458	60	37	category	category	NOUN
ajst-15458	60	38	variable	variable	NOUN
ajst-15458	60	39	into	into	ADP
ajst-15458	60	40	a	a	DET
ajst-15458	60	41	numerical	numerical	ADJ
ajst-15458	60	42	variable	variable	NOUN
ajst-15458	60	43	.	.	PUNCT
ajst-15458	61	1	4.2.1	4.2.1	NUM
ajst-15458	61	2	.	.	PUNCT
ajst-15458	62	1	nominal	nominal	PROPN
ajst-15458	62	2	variables	variable	NOUN
ajst-15458	62	3	nominal	nominal	ADJ
ajst-15458	62	4	variables	variable	NOUN
ajst-15458	62	5	are	be	AUX
ajst-15458	62	6	encoded	encode	VERB
ajst-15458	62	7	by	by	ADP
ajst-15458	62	8	one	one	NUM
ajst-15458	62	9	-	-	PUNCT
ajst-15458	62	10	hot	hot	ADJ
ajst-15458	62	11	coding	coding	NOUN
ajst-15458	62	12	,	,	PUNCT
ajst-15458	62	13	which	which	PRON
ajst-15458	62	14	is	be	AUX
ajst-15458	62	15	a	a	DET
ajst-15458	62	16	data	data	NOUN
ajst-15458	62	17	coding	code	VERB
ajst-15458	62	18	technique	technique	NOUN
ajst-15458	62	19	used	use	VERB
ajst-15458	62	20	to	to	PART
ajst-15458	62	21	convert	convert	VERB
ajst-15458	62	22	discrete	discrete	ADJ
ajst-15458	62	23	class	class	NOUN
ajst-15458	62	24	data	datum	NOUN
ajst-15458	62	25	into	into	ADP
ajst-15458	62	26	numerical	numerical	ADJ
ajst-15458	62	27	vectors	vector	NOUN
ajst-15458	62	28	.	.	PUNCT
ajst-15458	63	1	it	it	PRON
ajst-15458	63	2	represents	represent	VERB
ajst-15458	63	3	categorical	categorical	ADJ
ajst-15458	63	4	variables	variable	NOUN
ajst-15458	63	5	as	as	ADP
ajst-15458	63	6	binary	binary	ADJ
ajst-15458	63	7	vectors	vector	NOUN
ajst-15458	63	8	,	,	PUNCT
ajst-15458	63	9	each	each	PRON
ajst-15458	63	10	representing	represent	VERB
ajst-15458	63	11	a	a	DET
ajst-15458	63	12	category	category	NOUN
ajst-15458	63	13	with	with	ADP
ajst-15458	63	14	a	a	DET
ajst-15458	63	15	value	value	NOUN
ajst-15458	63	16	of	of	ADP
ajst-15458	63	17	1	1	NUM
ajst-15458	63	18	in	in	ADP
ajst-15458	63	19	the	the	DET
ajst-15458	63	20	corresponding	corresponding	ADJ
ajst-15458	63	21	column	column	NOUN
ajst-15458	63	22	for	for	ADP
ajst-15458	63	23	that	that	DET
ajst-15458	63	24	category	category	NOUN
ajst-15458	63	25	and	and	CCONJ
ajst-15458	63	26	0	0	NUM
ajst-15458	63	27	in	in	ADP
ajst-15458	63	28	all	all	DET
ajst-15458	63	29	other	other	ADJ
ajst-15458	63	30	columns	column	NOUN
ajst-15458	63	31	.	.	PUNCT
ajst-15458	64	1	the	the	DET
ajst-15458	64	2	method	method	NOUN
ajst-15458	64	3	of	of	ADP
ajst-15458	64	4	unique	unique	ADJ
ajst-15458	64	5	thermal	thermal	ADJ
ajst-15458	64	6	encoding	encoding	NOUN
ajst-15458	64	7	first	first	ADV
ajst-15458	64	8	determines	determine	VERB
ajst-15458	64	9	the	the	DET
ajst-15458	64	10	different	different	ADJ
ajst-15458	64	11	values	value	NOUN
ajst-15458	64	12	in	in	ADP
ajst-15458	64	13	the	the	DET
ajst-15458	64	14	class	class	NOUN
ajst-15458	64	15	variable	variable	NOUN
ajst-15458	64	16	,	,	PUNCT
ajst-15458	64	17	and	and	CCONJ
ajst-15458	64	18	then	then	ADV
ajst-15458	64	19	assigns	assign	VERB
ajst-15458	64	20	a	a	DET
ajst-15458	64	21	unique	unique	ADJ
ajst-15458	64	22	integer	integer	NOUN
ajst-15458	64	23	number	number	NOUN
ajst-15458	64	24	to	to	ADP
ajst-15458	64	25	each	each	DET
ajst-15458	64	26	value	value	NOUN
ajst-15458	64	27	,	,	PUNCT
ajst-15458	64	28	either	either	CCONJ
ajst-15458	64	29	using	use	VERB
ajst-15458	64	30	label	label	NOUN
ajst-15458	64	31	encoding	encoding	NOUN
ajst-15458	64	32	or	or	CCONJ
ajst-15458	64	33	a	a	DET
ajst-15458	64	34	custom	custom	NOUN
ajst-15458	64	35	numbering	numbering	NOUN
ajst-15458	64	36	method	method	NOUN
ajst-15458	64	37	.	.	PUNCT
ajst-15458	65	1	next	next	ADV
ajst-15458	65	2	,	,	PUNCT
ajst-15458	65	3	each	each	DET
ajst-15458	65	4	integer	integer	NOUN
ajst-15458	65	5	number	number	NOUN
ajst-15458	65	6	is	be	AUX
ajst-15458	65	7	converted	convert	VERB
ajst-15458	65	8	into	into	ADP
ajst-15458	65	9	a	a	DET
ajst-15458	65	10	corresponding	corresponding	ADJ
ajst-15458	65	11	binary	binary	ADJ
ajst-15458	65	12	vector	vector	NOUN
ajst-15458	65	13	,	,	PUNCT
ajst-15458	65	14	usually	usually	ADV
ajst-15458	65	15	into	into	ADP
ajst-15458	65	16	a	a	DET
ajst-15458	65	17	matrix	matrix	NOUN
ajst-15458	65	18	of	of	ADP
ajst-15458	65	19	01	01	NUM
ajst-15458	65	20	,	,	PUNCT
ajst-15458	65	21	where	where	SCONJ
ajst-15458	65	22	each	each	DET
ajst-15458	65	23	row	row	NOUN
ajst-15458	65	24	represents	represent	VERB
ajst-15458	65	25	a	a	DET
ajst-15458	65	26	nonrepeating	nonrepeate	VERB
ajst-15458	65	27	class	class	NOUN
ajst-15458	65	28	and	and	CCONJ
ajst-15458	65	29	each	each	DET
ajst-15458	65	30	column	column	NOUN
ajst-15458	65	31	represents	represent	VERB
ajst-15458	65	32	a	a	DET
ajst-15458	65	33	data	data	NOUN
ajst-15458	65	34	sample	sample	NOUN
ajst-15458	65	35	.	.	PUNCT
ajst-15458	66	1	if	if	SCONJ
ajst-15458	66	2	a	a	DET
ajst-15458	66	3	data	data	NOUN
ajst-15458	66	4	sample	sample	NOUN
ajst-15458	66	5	belongs	belong	VERB
ajst-15458	66	6	to	to	ADP
ajst-15458	66	7	a	a	DET
ajst-15458	66	8	class	class	NOUN
ajst-15458	66	9	,	,	PUNCT
ajst-15458	66	10	the	the	DET
ajst-15458	66	11	column	column	NOUN
ajst-15458	66	12	of	of	ADP
ajst-15458	66	13	that	that	DET
ajst-15458	66	14	class	class	NOUN
ajst-15458	66	15	has	have	VERB
ajst-15458	66	16	a	a	DET
ajst-15458	66	17	value	value	NOUN
ajst-15458	66	18	of	of	ADP
ajst-15458	66	19	1	1	NUM
ajst-15458	66	20	,	,	PUNCT
ajst-15458	66	21	and	and	CCONJ
ajst-15458	66	22	the	the	DET
ajst-15458	66	23	other	other	ADJ
ajst-15458	66	24	columns	column	NOUN
ajst-15458	66	25	have	have	VERB
ajst-15458	66	26	a	a	DET
ajst-15458	66	27	value	value	NOUN
ajst-15458	66	28	of	of	ADP
ajst-15458	66	29	0	0	NUM
ajst-15458	66	30	.	.	PUNCT
ajst-15458	67	1	the	the	DET
ajst-15458	67	2	nominal	nominal	ADJ
ajst-15458	67	3	variables	variable	NOUN
ajst-15458	67	4	in	in	ADP
ajst-15458	67	5	this	this	DET
ajst-15458	67	6	database	database	NOUN
ajst-15458	67	7	include	include	VERB
ajst-15458	67	8	:	:	PUNCT
ajst-15458	67	9	region	region	NOUN
ajst-15458	67	10	,	,	PUNCT
ajst-15458	67	11	gender	gender	NOUN
ajst-15458	67	12	,	,	PUNCT
ajst-15458	67	13	marriage	marriage	NOUN
ajst-15458	67	14	,	,	PUNCT
ajst-15458	67	15	and	and	CCONJ
ajst-15458	67	16	whether	whether	SCONJ
ajst-15458	67	17	you	you	PRON
ajst-15458	67	18	have	have	VERB
ajst-15458	67	19	children	child	NOUN
ajst-15458	67	20	.	.	PUNCT
ajst-15458	68	1	table	table	NOUN
ajst-15458	68	2	2	2	NUM
ajst-15458	68	3	.	.	PUNCT
ajst-15458	69	1	database	database	PROPN
ajst-15458	69	2	nominal	nominal	PROPN
ajst-15458	69	3	variables	variable	NOUN
ajst-15458	69	4	variable	variable	ADJ
ajst-15458	69	5	name	name	NOUN
ajst-15458	69	6	number	number	NOUN
ajst-15458	69	7	of	of	ADP
ajst-15458	69	8	variable	variable	ADJ
ajst-15458	69	9	value	value	NOUN
ajst-15458	69	10	categories	category	NOUN
ajst-15458	69	11	coded	code	VERB
ajst-15458	69	12	result	result	NOUN
ajst-15458	69	13	region	region	NOUN
ajst-15458	69	14	7	7	NUM
ajst-15458	69	15	region	region	NOUN
ajst-15458	69	16	_	_	PUNCT
ajst-15458	70	1	east	east	PROPN
ajst-15458	70	2	china	china	PROPN
ajst-15458	70	3	,	,	PUNCT
ajst-15458	70	4	region	region	NOUN
ajst-15458	70	5	_	_	PUNCT
ajst-15458	70	6	north	north	PROPN
ajst-15458	70	7	china	china	PROPN
ajst-15458	70	8	,	,	PUNCT
ajst-15458	70	9	region	region	NOUN
ajst-15458	70	10	_	_	PUNCT
ajst-15458	70	11	southwest	southwest	ADJ
ajst-15458	70	12	,	,	PUNCT
ajst-15458	70	13	region	region	NOUN
ajst-15458	70	14	_	_	PUNCT
ajst-15458	71	1	northeast	northeast	ADJ
ajst-15458	71	2	,	,	PUNCT
ajst-15458	71	3	region	region	NOUN
ajst-15458	71	4	_	_	PUNCT
ajst-15458	71	5	central	central	ADJ
ajst-15458	71	6	china	china	PROPN
ajst-15458	71	7	,	,	PUNCT
ajst-15458	71	8	region	region	NOUN
ajst-15458	71	9	_	_	X
ajst-15458	71	10	south	south	PROPN
ajst-15458	71	11	china	china	PROPN
ajst-15458	71	12	,	,	PUNCT
ajst-15458	71	13	region	region	NOUN
ajst-15458	71	14	_	_	PUNCT
ajst-15458	71	15	northwest	northwest	ADJ
ajst-15458	71	16	sex	sex	NOUN
ajst-15458	71	17	2	2	NUM
ajst-15458	71	18	gender	gender	NOUN
ajst-15458	71	19	_	_	PUNCT
ajst-15458	71	20	male	male	NOUN
ajst-15458	71	21	,	,	PUNCT
ajst-15458	71	22	gender	gender	NOUN
ajst-15458	71	23	_	_	PUNCT
ajst-15458	71	24	female	female	ADJ
ajst-15458	71	25	matrimony	matrimony	NOUN
ajst-15458	71	26	2	2	NUM
ajst-15458	71	27	marriage	marriage	NOUN
ajst-15458	71	28	_	_	PUNCT
ajst-15458	71	29	unmarried	unmarried	ADJ
ajst-15458	71	30	,	,	PUNCT
ajst-15458	71	31	marriage	marriage	NOUN
ajst-15458	72	1	_	_	SYM
ajst-15458	72	2	married	married	ADJ
ajst-15458	72	3	do	do	AUX
ajst-15458	72	4	you	you	PRON
ajst-15458	72	5	have	have	VERB
ajst-15458	72	6	children	child	NOUN
ajst-15458	72	7	?	?	PUNCT
ajst-15458	73	1	2	2	NUM
ajst-15458	73	2	do	do	AUX
ajst-15458	73	3	you	you	PRON
ajst-15458	73	4	have	have	VERB
ajst-15458	73	5	children	child	NOUN
ajst-15458	73	6	_	_	PUNCT
ajst-15458	74	1	no	no	INTJ
ajst-15458	74	2	,	,	PUNCT
ajst-15458	74	3	do	do	AUX
ajst-15458	74	4	you	you	PRON
ajst-15458	74	5	have	have	VERB
ajst-15458	74	6	children	child	NOUN
ajst-15458	74	7	_	_	PUNCT
ajst-15458	75	1	yes	yes	INTJ
ajst-15458	75	2	4.2.2	4.2.2	X
ajst-15458	75	3	.	.	PUNCT
ajst-15458	75	4	ordered	order	VERB
ajst-15458	75	5	variables	variable	NOUN
ajst-15458	75	6	ordered	order	VERB
ajst-15458	75	7	variables	variable	NOUN
ajst-15458	75	8	are	be	AUX
ajst-15458	75	9	encoded	encode	VERB
ajst-15458	75	10	with	with	ADP
ajst-15458	75	11	labels	label	NOUN
ajst-15458	75	12	.	.	PUNCT
ajst-15458	76	1	label	label	NOUN
ajst-15458	76	2	encoding	encoding	NOUN
ajst-15458	76	3	is	be	AUX
ajst-15458	76	4	a	a	DET
ajst-15458	76	5	method	method	NOUN
ajst-15458	76	6	of	of	ADP
ajst-15458	76	7	converting	convert	VERB
ajst-15458	76	8	categorical	categorical	ADJ
ajst-15458	76	9	variables	variable	NOUN
ajst-15458	76	10	in	in	ADP
ajst-15458	76	11	a	a	DET
ajst-15458	76	12	data	datum	NOUN
ajst-15458	76	13	set	set	VERB
ajst-15458	76	14	into	into	ADP
ajst-15458	76	15	corresponding	correspond	VERB
ajst-15458	76	16	numeric	numeric	ADJ
ajst-15458	76	17	labels	label	NOUN
ajst-15458	76	18	.	.	PUNCT
ajst-15458	77	1	in	in	ADP
ajst-15458	77	2	label	label	NOUN
ajst-15458	77	3	coding	coding	NOUN
ajst-15458	77	4	,	,	PUNCT
ajst-15458	77	5	we	we	PRON
ajst-15458	77	6	assign	assign	VERB
ajst-15458	77	7	a	a	DET
ajst-15458	77	8	unique	unique	ADJ
ajst-15458	77	9	integer	integer	NOUN
ajst-15458	77	10	number	number	NOUN
ajst-15458	77	11	to	to	ADP
ajst-15458	77	12	each	each	DET
ajst-15458	77	13	different	different	ADJ
ajst-15458	77	14	class	class	NOUN
ajst-15458	77	15	that	that	PRON
ajst-15458	77	16	has	have	VERB
ajst-15458	77	17	a	a	DET
ajst-15458	77	18	size	size	NOUN
ajst-15458	77	19	meaning	meaning	NOUN
ajst-15458	77	20	,	,	PUNCT
ajst-15458	77	21	such	such	ADJ
ajst-15458	77	22	as	as	ADP
ajst-15458	77	23	from	from	ADP
ajst-15458	77	24	1	1	NUM
ajst-15458	77	25	to	to	ADP
ajst-15458	77	26	n	n	CCONJ
ajst-15458	77	27	,	,	PUNCT
ajst-15458	77	28	where	where	SCONJ
ajst-15458	77	29	n	n	X
ajst-15458	77	30	is	be	AUX
ajst-15458	77	31	the	the	DET
ajst-15458	77	32	number	number	NOUN
ajst-15458	77	33	of	of	ADP
ajst-15458	77	34	different	different	ADJ
ajst-15458	77	35	values	value	NOUN
ajst-15458	77	36	in	in	ADP
ajst-15458	77	37	the	the	DET
ajst-15458	77	38	class	class	NOUN
ajst-15458	77	39	variable	variable	NOUN
ajst-15458	77	40	.	.	PUNCT
ajst-15458	78	1	with	with	ADP
ajst-15458	78	2	label	label	NOUN
ajst-15458	78	3	encoding	encoding	NOUN
ajst-15458	78	4	,	,	PUNCT
ajst-15458	78	5	ordered	order	VERB
ajst-15458	78	6	variables	variable	NOUN
ajst-15458	78	7	can	can	AUX
ajst-15458	78	8	be	be	AUX
ajst-15458	78	9	converted	convert	VERB
ajst-15458	78	10	to	to	ADP
ajst-15458	78	11	numeric	numeric	ADJ
ajst-15458	78	12	variables	variable	NOUN
ajst-15458	78	13	,	,	PUNCT
ajst-15458	78	14	and	and	CCONJ
ajst-15458	78	15	the	the	DET
ajst-15458	78	16	order	order	NOUN
ajst-15458	78	17	relationship	relationship	NOUN
ajst-15458	78	18	between	between	ADP
ajst-15458	78	19	categories	category	NOUN
ajst-15458	78	20	is	be	AUX
ajst-15458	78	21	preserved	preserve	VERB
ajst-15458	78	22	.	.	PUNCT
ajst-15458	79	1	the	the	DET
ajst-15458	79	2	ordered	order	VERB
ajst-15458	79	3	variables	variable	NOUN
ajst-15458	79	4	of	of	ADP
ajst-15458	79	5	this	this	DET
ajst-15458	79	6	database	database	NOUN
ajst-15458	79	7	include	include	VERB
ajst-15458	79	8	:	:	PUNCT
ajst-15458	79	9	generation	generation	NOUN
ajst-15458	79	10	,	,	PUNCT
ajst-15458	79	11	age	age	NOUN
ajst-15458	79	12	range	range	NOUN
ajst-15458	79	13	,	,	PUNCT
ajst-15458	79	14	educational	educational	ADJ
ajst-15458	79	15	background	background	NOUN
ajst-15458	79	16	,	,	PUNCT
ajst-15458	79	17	and	and	CCONJ
ajst-15458	79	18	annual	annual	ADJ
ajst-15458	79	19	household	household	NOUN
ajst-15458	79	20	income	income	NOUN
ajst-15458	79	21	.	.	PUNCT
ajst-15458	80	1	table	table	NOUN
ajst-15458	80	2	3	3	NUM
ajst-15458	80	3	.	.	PUNCT
ajst-15458	81	1	database	database	NOUN
ajst-15458	81	2	ordered	order	VERB
ajst-15458	81	3	variables	variable	NOUN
ajst-15458	81	4	variable	variable	ADJ
ajst-15458	81	5	name	name	NOUN
ajst-15458	81	6	number	number	NOUN
ajst-15458	81	7	of	of	ADP
ajst-15458	81	8	variable	variable	ADJ
ajst-15458	81	9	value	value	NOUN
ajst-15458	81	10	categories	category	NOUN
ajst-15458	81	11	coded	code	VERB
ajst-15458	81	12	result	result	NOUN
ajst-15458	81	13	between	between	ADP
ajst-15458	81	14	generations	generation	NOUN
ajst-15458	81	15	8	8	NUM
ajst-15458	81	16	0	0	NUM
ajst-15458	81	17	:	:	PUNCT
ajst-15458	81	18	'	'	PUNCT
ajst-15458	81	19	after	after	SCONJ
ajst-15458	81	20	the	the	DET
ajst-15458	81	21	'	'	NUM
ajst-15458	81	22	50	50	NUM
ajst-15458	81	23	s	s	NOUN
ajst-15458	81	24	,	,	PUNCT
ajst-15458	81	25	1	1	NUM
ajst-15458	81	26	:	:	PUNCT
ajst-15458	81	27	'	'	PUNCT
ajst-15458	81	28	after	after	ADP
ajst-15458	81	29	55	55	NUM
ajst-15458	81	30	s	s	NOUN
ajst-15458	81	31	,	,	PUNCT
ajst-15458	81	32	2	2	NUM
ajst-15458	81	33	:	:	PUNCT
ajst-15458	81	34	'	'	PUNCT
ajst-15458	81	35	after	after	ADP
ajst-15458	81	36	the	the	DET
ajst-15458	81	37	'	'	NUM
ajst-15458	81	38	60	60	NUM
ajst-15458	81	39	s	s	NOUN
ajst-15458	81	40	,	,	PUNCT
ajst-15458	81	41	3	3	NUM
ajst-15458	81	42	:	:	PUNCT
ajst-15458	81	43	after	after	ADP
ajst-15458	81	44	the	the	DET
ajst-15458	81	45	'	'	NUM
ajst-15458	81	46	65	65	NUM
ajst-15458	81	47	s	s	NOUN
ajst-15458	81	48	'	'	PUNCT
ajst-15458	81	49	,	,	PUNCT
ajst-15458	81	50	4	4	NUM
ajst-15458	81	51	:	:	PUNCT
ajst-15458	81	52	'	'	PUNCT
ajst-15458	81	53	after	after	ADP
ajst-15458	81	54	70	70	NUM
ajst-15458	81	55	s	s	NOUN
ajst-15458	81	56	'	'	PUNCT
ajst-15458	81	57	,	,	PUNCT
ajst-15458	81	58	5	5	NUM
ajst-15458	81	59	:	:	PUNCT
ajst-15458	81	60	'	'	PUNCT
ajst-15458	81	61	after	after	ADP
ajst-15458	81	62	75	75	NUM
ajst-15458	81	63	s	s	NOUN
ajst-15458	81	64	'	'	PUNCT
ajst-15458	81	65	,	,	PUNCT
ajst-15458	81	66	6	6	NUM
ajst-15458	81	67	:	:	PUNCT
ajst-15458	81	68	'	'	PUNCT
ajst-15458	81	69	after	after	ADP
ajst-15458	81	70	80	80	NUM
ajst-15458	81	71	s	s	NOUN
ajst-15458	81	72	'	'	PUNCT
ajst-15458	81	73	,	,	PUNCT
ajst-15458	81	74	7	7	NUM
ajst-15458	81	75	:	:	PUNCT
ajst-15458	81	76	'	'	PUNCT
ajst-15458	81	77	after	after	ADP
ajst-15458	81	78	85	85	NUM
ajst-15458	81	79	s	s	NOUN
ajst-15458	81	80	'	'	PUNCT
ajst-15458	81	81	,	,	PUNCT
ajst-15458	81	82	8	8	NUM
ajst-15458	81	83	:	:	PUNCT
ajst-15458	81	84	'	'	PUNCT
ajst-15458	81	85	after	after	ADP
ajst-15458	81	86	the	the	DET
ajst-15458	81	87	'	'	NUM
ajst-15458	81	88	90	90	NUM
ajst-15458	81	89	s	s	NOUN
ajst-15458	81	90	,	,	PUNCT
ajst-15458	81	91	9	9	NUM
ajst-15458	81	92	:	:	PUNCT
ajst-15458	81	93	'	'	PUNCT
ajst-15458	81	94	after	after	ADP
ajst-15458	81	95	the	the	DET
ajst-15458	81	96	'	'	NUM
ajst-15458	81	97	95	95	NUM
ajst-15458	81	98	s	s	NOUN
ajst-15458	81	99	,	,	PUNCT
ajst-15458	81	100	10	10	NUM
ajst-15458	81	101	:	:	PUNCT
ajst-15458	81	102	'	'	NUM
ajst-15458	81	103	00	00	NUM
ajst-15458	81	104	s	s	AUX
ajst-15458	81	105	after	after	ADP
ajst-15458	81	106	'	'	PUNCT
ajst-15458	81	107	age	age	NOUN
ajst-15458	81	108	range	range	NOUN
ajst-15458	81	109	7	7	NUM
ajst-15458	81	110	0:18	0:18	NUM
ajst-15458	81	111	to	to	ADP
ajst-15458	81	112	25	25	NUM
ajst-15458	81	113	,	,	PUNCT
ajst-15458	81	114	1	1	NUM
ajst-15458	81	115	:	:	PUNCT
ajst-15458	81	116	'	'	PUNCT
ajst-15458	81	117	26	26	NUM
ajst-15458	81	118	to	to	PART
ajst-15458	81	119	30	30	NUM
ajst-15458	81	120	years	year	NOUN
ajst-15458	81	121	old	old	ADJ
ajst-15458	81	122	,	,	PUNCT
ajst-15458	81	123	2	2	NUM
ajst-15458	81	124	:	:	PUNCT
ajst-15458	81	125	'	'	PUNCT
ajst-15458	81	126	31	31	NUM
ajst-15458	81	127	and	and	CCONJ
ajst-15458	81	128	35	35	NUM
ajst-15458	81	129	,	,	PUNCT
ajst-15458	81	130	3	3	NUM
ajst-15458	81	131	:	:	PUNCT
ajst-15458	81	132	'	'	NUM
ajst-15458	81	133	36	36	NUM
ajst-15458	81	134	to	to	PART
ajst-15458	81	135	40	40	NUM
ajst-15458	81	136	years	year	NOUN
ajst-15458	81	137	old	old	ADJ
ajst-15458	81	138	,	,	PUNCT
ajst-15458	81	139	4	4	NUM
ajst-15458	81	140	:	:	PUNCT
ajst-15458	81	141	'	'	PUNCT
ajst-15458	81	142	41	41	NUM
ajst-15458	81	143	-	-	SYM
ajst-15458	81	144	45	45	NUM
ajst-15458	81	145	years	year	NOUN
ajst-15458	81	146	old	old	ADJ
ajst-15458	81	147	,	,	PUNCT
ajst-15458	81	148	5	5	NUM
ajst-15458	81	149	:	:	PUNCT
ajst-15458	81	150	'	'	PUNCT
ajst-15458	81	151	46	46	NUM
ajst-15458	81	152	-	-	SYM
ajst-15458	81	153	50	50	NUM
ajst-15458	81	154	years	year	NOUN
ajst-15458	81	155	old	old	ADJ
ajst-15458	81	156	,	,	PUNCT
ajst-15458	81	157	6	6	NUM
ajst-15458	81	158	:	:	PUNCT
ajst-15458	81	159	'	'	PUNCT
ajst-15458	81	160	51	51	NUM
ajst-15458	81	161	years	year	NOUN
ajst-15458	81	162	of	of	ADP
ajst-15458	81	163	age	age	NOUN
ajst-15458	81	164	or	or	CCONJ
ajst-15458	81	165	older	old	ADJ
ajst-15458	81	166	annual	annual	ADJ
ajst-15458	81	167	household	household	NOUN
ajst-15458	81	168	income	income	NOUN
ajst-15458	81	169	7	7	NUM
ajst-15458	81	170	0	0	NUM
ajst-15458	81	171	:	:	PUNCT
ajst-15458	81	172	'	'	PUNCT
ajst-15458	81	173	1	1	NUM
ajst-15458	81	174	million	million	NUM
ajst-15458	81	175	'	'	NUM
ajst-15458	81	176	,	,	PUNCT
ajst-15458	81	177	1:50	1:50	NUM
ajst-15458	81	178	-	-	SYM
ajst-15458	81	179	1	1	NUM
ajst-15458	81	180	million	million	NUM
ajst-15458	81	181	,	,	PUNCT
ajst-15458	81	182	2:30	2:30	NUM
ajst-15458	81	183	-	-	SYM
ajst-15458	81	184	500000	500000	NUM
ajst-15458	81	185	,	,	PUNCT
ajst-15458	81	186	3:20	3:20	NUM
ajst-15458	81	187	-	-	SYM
ajst-15458	81	188	300000	300000	NUM
ajst-15458	81	189	,	,	PUNCT
ajst-15458	81	190	4:15	4:15	NUM
ajst-15458	81	191	-	-	SYM
ajst-15458	81	192	200000	200000	NUM
ajst-15458	81	193	,	,	PUNCT
ajst-15458	81	194	5:10150000	5:10150000	NUM
ajst-15458	81	195	,	,	PUNCT
ajst-15458	81	196	6:5	6:5	NUM
ajst-15458	81	197	-	-	SYM
ajst-15458	81	198	100000	100000	NUM
ajst-15458	81	199	,	,	PUNCT
ajst-15458	81	200	7	7	NUM
ajst-15458	81	201	:	:	PUNCT
ajst-15458	81	202	'	'	PUNCT
ajst-15458	81	203	50000	50000	NUM
ajst-15458	81	204	'	'	PUNCT
ajst-15458	81	205	educational	educational	ADJ
ajst-15458	81	206	background	background	NOUN
ajst-15458	81	207	4	4	NUM
ajst-15458	81	208	0	0	NUM
ajst-15458	81	209	:	:	PUNCT
ajst-15458	81	210	'	'	PUNCT
ajst-15458	81	211	high	high	ADJ
ajst-15458	81	212	school	school	NOUN
ajst-15458	81	213	and	and	CCONJ
ajst-15458	81	214	below	below	ADP
ajst-15458	81	215	'	'	PUNCT
ajst-15458	81	216	,	,	PUNCT
ajst-15458	81	217	1	1	NUM
ajst-15458	81	218	:	:	PUNCT
ajst-15458	81	219	'	'	PUNCT
ajst-15458	81	220	college	college	NOUN
ajst-15458	81	221	and	and	CCONJ
ajst-15458	81	222	equivalent	equivalent	ADJ
ajst-15458	81	223	'	'	PUNCT
ajst-15458	81	224	,	,	PUNCT
ajst-15458	81	225	2	2	NUM
ajst-15458	81	226	:	:	PUNCT
ajst-15458	81	227	'	'	PUNCT
ajst-15458	81	228	bachelor	bachelor	NOUN
ajst-15458	81	229	's	's	PART
ajst-15458	81	230	degree	degree	NOUN
ajst-15458	81	231	'	'	PUNCT
ajst-15458	81	232	,	,	PUNCT
ajst-15458	81	233	3	3	NUM
ajst-15458	81	234	:	:	PUNCT
ajst-15458	81	235	'	'	PUNCT
ajst-15458	81	236	master	master	NOUN
ajst-15458	81	237	's	's	PART
ajst-15458	81	238	degree	degree	NOUN
ajst-15458	81	239	and	and	CCONJ
ajst-15458	81	240	above	above	ADP
ajst-15458	81	241	'	'	PUNCT
ajst-15458	81	242	4.3	4.3	NUM
ajst-15458	81	243	.	.	PUNCT
ajst-15458	82	1	modeling	model	VERB
ajst-15458	82	2	parameter	parameter	NOUN
ajst-15458	82	3	optimization	optimization	NOUN
ajst-15458	82	4	through	through	ADP
ajst-15458	82	5	the	the	DET
ajst-15458	82	6	k	k	NOUN
ajst-15458	82	7	-	-	PUNCT
ajst-15458	82	8	means	means	NOUN
ajst-15458	82	9	algorithm	algorithm	NOUN
ajst-15458	82	10	,	,	PUNCT
ajst-15458	82	11	according	accord	VERB
ajst-15458	82	12	to	to	ADP
ajst-15458	82	13	the	the	DET
ajst-15458	82	14	contour	contour	NOUN
ajst-15458	82	15	coefficient	coefficient	NOUN
ajst-15458	82	16	method	method	NOUN
ajst-15458	82	17	,	,	PUNCT
ajst-15458	82	18	the	the	DET
ajst-15458	82	19	number	number	NOUN
ajst-15458	82	20	of	of	ADP
ajst-15458	82	21	possible	possible	ADJ
ajst-15458	82	22	clusters	cluster	NOUN
ajst-15458	82	23	is	be	AUX
ajst-15458	82	24	[	[	X
ajst-15458	82	25	2,3,4,5,6,7,8	2,3,4,5,6,7,8	NUM
ajst-15458	82	26	]	]	PUNCT
ajst-15458	82	27	.	.	PUNCT
ajst-15458	83	1	when	when	SCONJ
ajst-15458	83	2	cluster	cluster	NOUN
ajst-15458	83	3	number	number	NOUN
ajst-15458	83	4	is	be	AUX
ajst-15458	83	5	2	2	NUM
ajst-15458	83	6	,	,	PUNCT
ajst-15458	83	7	the	the	DET
ajst-15458	83	8	mean	mean	ADJ
ajst-15458	83	9	profile	profile	NOUN
ajst-15458	83	10	coefficient	coefficient	NOUN
ajst-15458	83	11	is	be	AUX
ajst-15458	83	12	0.4861621464423962	0.4861621464423962	NUM
ajst-15458	83	13	.	.	PUNCT
ajst-15458	84	1	figure	figure	NOUN
ajst-15458	84	2	1	1	NUM
ajst-15458	84	3	.	.	PUNCT
ajst-15458	85	1	k	k	X
ajst-15458	85	2	-	-	PUNCT
ajst-15458	85	3	means	mean	VERB
ajst-15458	85	4	algorithm	algorithm	NOUN
ajst-15458	85	5	k=2	k=2	PROPN
ajst-15458	85	6	contour	contour	NOUN
ajst-15458	85	7	coefficient	coefficient	NOUN
ajst-15458	85	8	78	78	NUM
ajst-15458	85	9	when	when	SCONJ
ajst-15458	85	10	cluster	cluster	NOUN
ajst-15458	85	11	number	number	NOUN
ajst-15458	85	12	is	be	AUX
ajst-15458	85	13	3	3	NUM
ajst-15458	85	14	,	,	PUNCT
ajst-15458	85	15	the	the	DET
ajst-15458	85	16	average	average	ADJ
ajst-15458	85	17	contour	contour	NOUN
ajst-15458	85	18	coefficient	coefficient	NOUN
ajst-15458	85	19	is	be	AUX
ajst-15458	85	20	0.4114124688456909	0.4114124688456909	NUM
ajst-15458	85	21	.	.	PUNCT
ajst-15458	86	1	figure	figure	NOUN
ajst-15458	86	2	2	2	NUM
ajst-15458	86	3	.	.	PUNCT
ajst-15458	87	1	k	k	X
ajst-15458	87	2	-	-	PUNCT
ajst-15458	87	3	means	mean	VERB
ajst-15458	87	4	algorithm	algorithm	NOUN
ajst-15458	87	5	k=3	k=3	X
ajst-15458	87	6	contour	contour	NOUN
ajst-15458	87	7	coefficient	coefficient	NOUN
ajst-15458	87	8	when	when	SCONJ
ajst-15458	87	9	cluster	cluster	NOUN
ajst-15458	87	10	number	number	NOUN
ajst-15458	87	11	is	be	AUX
ajst-15458	87	12	4	4	NUM
ajst-15458	87	13	,	,	PUNCT
ajst-15458	87	14	the	the	DET
ajst-15458	87	15	mean	mean	ADJ
ajst-15458	87	16	profile	profile	NOUN
ajst-15458	87	17	coefficient	coefficient	NOUN
ajst-15458	87	18	is	be	AUX
ajst-15458	87	19	0.3936975719552483	0.3936975719552483	NUM
ajst-15458	87	20	.	.	PUNCT
ajst-15458	88	1	figure	figure	NOUN
ajst-15458	88	2	3	3	NUM
ajst-15458	88	3	.	.	PUNCT
ajst-15458	89	1	k	k	X
ajst-15458	89	2	-	-	PUNCT
ajst-15458	89	3	means	mean	VERB
ajst-15458	89	4	algorithm	algorithm	NOUN
ajst-15458	89	5	k=4	k=4	PROPN
ajst-15458	89	6	contour	contour	NOUN
ajst-15458	89	7	coefficient	coefficient	NOUN
ajst-15458	89	8	when	when	SCONJ
ajst-15458	89	9	cluster	cluster	NOUN
ajst-15458	89	10	number	number	NOUN
ajst-15458	89	11	is	be	AUX
ajst-15458	89	12	5	5	NUM
ajst-15458	89	13	,	,	PUNCT
ajst-15458	89	14	the	the	DET
ajst-15458	89	15	mean	mean	ADJ
ajst-15458	89	16	profile	profile	NOUN
ajst-15458	89	17	coefficient	coefficient	NOUN
ajst-15458	89	18	is	be	AUX
ajst-15458	89	19	0.32937614485010025	0.32937614485010025	NUM
ajst-15458	89	20	.	.	PUNCT
ajst-15458	90	1	figure	figure	NOUN
ajst-15458	90	2	4	4	NUM
ajst-15458	90	3	.	.	PUNCT
ajst-15458	91	1	k	k	X
ajst-15458	91	2	-	-	PUNCT
ajst-15458	91	3	means	mean	VERB
ajst-15458	91	4	algorithm	algorithm	NOUN
ajst-15458	91	5	k=5	k=5	PUNCT
ajst-15458	91	6	contour	contour	NOUN
ajst-15458	91	7	coefficient	coefficient	NOUN
ajst-15458	91	8	when	when	SCONJ
ajst-15458	91	9	the	the	DET
ajst-15458	91	10	cluster	cluster	NOUN
ajst-15458	91	11	number	number	NOUN
ajst-15458	91	12	is	be	AUX
ajst-15458	91	13	6	6	NUM
ajst-15458	91	14	,	,	PUNCT
ajst-15458	91	15	the	the	DET
ajst-15458	91	16	mean	mean	ADJ
ajst-15458	91	17	profile	profile	NOUN
ajst-15458	91	18	coefficient	coefficient	NOUN
ajst-15458	91	19	is	be	AUX
ajst-15458	91	20	0.29903198575008144	0.29903198575008144	NUM
ajst-15458	91	21	.	.	PUNCT
ajst-15458	92	1	figure	figure	NOUN
ajst-15458	92	2	5	5	NUM
ajst-15458	92	3	.	.	PUNCT
ajst-15458	93	1	k	k	X
ajst-15458	93	2	-	-	PUNCT
ajst-15458	93	3	means	mean	VERB
ajst-15458	93	4	algorithm	algorithm	NOUN
ajst-15458	93	5	k=6	k=6	ADP
ajst-15458	93	6	contour	contour	NOUN
ajst-15458	93	7	coefficient	coefficient	NOUN
ajst-15458	93	8	when	when	SCONJ
ajst-15458	93	9	cluster	cluster	NOUN
ajst-15458	93	10	number	number	NOUN
ajst-15458	93	11	is	be	AUX
ajst-15458	93	12	7	7	NUM
ajst-15458	93	13	,	,	PUNCT
ajst-15458	93	14	the	the	DET
ajst-15458	93	15	mean	mean	ADJ
ajst-15458	93	16	profile	profile	NOUN
ajst-15458	93	17	coefficient	coefficient	NOUN
ajst-15458	93	18	is	be	AUX
ajst-15458	93	19	0.2954374503507193	0.2954374503507193	NUM
ajst-15458	93	20	.	.	PUNCT
ajst-15458	94	1	figure	figure	NOUN
ajst-15458	94	2	6	6	NUM
ajst-15458	94	3	.	.	PUNCT
ajst-15458	95	1	k	k	X
ajst-15458	95	2	-	-	PUNCT
ajst-15458	95	3	means	mean	VERB
ajst-15458	95	4	algorithm	algorithm	NOUN
ajst-15458	95	5	k=7	k=7	PROPN
ajst-15458	95	6	contour	contour	NOUN
ajst-15458	95	7	coefficient	coefficient	NOUN
ajst-15458	95	8	when	when	SCONJ
ajst-15458	95	9	cluster	cluster	NOUN
ajst-15458	95	10	number	number	NOUN
ajst-15458	95	11	is	be	AUX
ajst-15458	95	12	8	8	NUM
ajst-15458	95	13	,	,	PUNCT
ajst-15458	95	14	the	the	DET
ajst-15458	95	15	mean	mean	ADJ
ajst-15458	95	16	profile	profile	NOUN
ajst-15458	95	17	coefficient	coefficient	NOUN
ajst-15458	95	18	is	be	AUX
ajst-15458	95	19	0.29937152132335443	0.29937152132335443	NUM
ajst-15458	95	20	.	.	PUNCT
ajst-15458	96	1	figure	figure	NOUN
ajst-15458	96	2	7	7	NUM
ajst-15458	96	3	.	.	PUNCT
ajst-15458	97	1	k	k	X
ajst-15458	97	2	-	-	PUNCT
ajst-15458	97	3	means	mean	VERB
ajst-15458	97	4	algorithm	algorithm	NOUN
ajst-15458	97	5	k=8	k=8	PUNCT
ajst-15458	97	6	contour	contour	NOUN
ajst-15458	97	7	coefficient	coefficient	NOUN
ajst-15458	97	8	according	accord	VERB
ajst-15458	97	9	to	to	ADP
ajst-15458	97	10	the	the	DET
ajst-15458	97	11	bending	bend	VERB
ajst-15458	97	12	diagram	diagram	NOUN
ajst-15458	97	13	method	method	NOUN
ajst-15458	97	14	,	,	PUNCT
ajst-15458	97	15	the	the	DET
ajst-15458	97	16	inflection	inflection	NOUN
ajst-15458	97	17	point	point	NOUN
ajst-15458	97	18	and	and	CCONJ
ajst-15458	97	19	the	the	DET
ajst-15458	97	20	decline	decline	NOUN
ajst-15458	97	21	rate	rate	NOUN
ajst-15458	97	22	of	of	ADP
ajst-15458	97	23	sse(k	sse(k	NOUN
ajst-15458	97	24	)	)	PUNCT
ajst-15458	97	25	in	in	ADP
ajst-15458	97	26	the	the	DET
ajst-15458	97	27	figure	figure	NOUN
ajst-15458	97	28	are	be	AUX
ajst-15458	97	29	mainly	mainly	ADV
ajst-15458	97	30	considered	consider	VERB
ajst-15458	97	31	as	as	ADP
ajst-15458	97	32	the	the	DET
ajst-15458	97	33	number	number	NOUN
ajst-15458	97	34	of	of	ADP
ajst-15458	97	35	clusters	cluster	NOUN
ajst-15458	97	36	[	[	X
ajst-15458	97	37	2,3,4	2,3,4	NUM
ajst-15458	97	38	]	]	PUNCT
ajst-15458	97	39	.	.	PUNCT
ajst-15458	98	1	figure	figure	NOUN
ajst-15458	98	2	8	8	NUM
ajst-15458	98	3	.	.	PUNCT
ajst-15458	99	1	evaluation	evaluation	NOUN
ajst-15458	99	2	results	result	NOUN
ajst-15458	99	3	of	of	ADP
ajst-15458	99	4	k	k	NOUN
ajst-15458	99	5	-	-	PUNCT
ajst-15458	99	6	means	mean	VERB
ajst-15458	99	7	bending	bend	VERB
ajst-15458	99	8	graph	graph	NOUN
ajst-15458	99	9	method	method	NOUN
ajst-15458	99	10	4.4	4.4	NUM
ajst-15458	99	11	.	.	PUNCT
ajst-15458	100	1	modeling	modeling	NOUN
ajst-15458	100	2	results	result	VERB
ajst-15458	100	3	the	the	DET
ajst-15458	100	4	modeling	modeling	NOUN
ajst-15458	100	5	results	result	NOUN
ajst-15458	100	6	are	be	AUX
ajst-15458	100	7	mainly	mainly	ADV
ajst-15458	100	8	divided	divide	VERB
ajst-15458	100	9	into	into	ADP
ajst-15458	100	10	2	2	NUM
ajst-15458	100	11	clusters	cluster	NOUN
ajst-15458	100	12	,	,	PUNCT
ajst-15458	100	13	3	3	NUM
ajst-15458	100	14	clusters	cluster	NOUN
ajst-15458	100	15	and	and	CCONJ
ajst-15458	100	16	4	4	NUM
ajst-15458	100	17	clusters	cluster	NOUN
ajst-15458	100	18	.	.	PUNCT
ajst-15458	101	1	4.4.1	4.4.1	X
ajst-15458	101	2	.	.	X
ajst-15458	101	3	number	number	NOUN
ajst-15458	101	4	of	of	ADP
ajst-15458	101	5	clusters	cluster	NOUN
ajst-15458	101	6	is	be	AUX
ajst-15458	101	7	2	2	NUM
ajst-15458	101	8	when	when	SCONJ
ajst-15458	101	9	k=2	k=2	PROPN
ajst-15458	101	10	and	and	CCONJ
ajst-15458	101	11	the	the	DET
ajst-15458	101	12	number	number	NOUN
ajst-15458	101	13	of	of	ADP
ajst-15458	101	14	clusters	cluster	NOUN
ajst-15458	101	15	is	be	AUX
ajst-15458	101	16	2	2	NUM
ajst-15458	101	17	,	,	PUNCT
ajst-15458	101	18	the	the	DET
ajst-15458	101	19	original	original	ADJ
ajst-15458	101	20	scatter	scatter	NOUN
ajst-15458	101	21	plot	plot	NOUN
ajst-15458	101	22	is	be	AUX
ajst-15458	101	23	as	as	SCONJ
ajst-15458	101	24	follows	follow	VERB
ajst-15458	101	25	:	:	PUNCT
ajst-15458	101	26	figure	figure	NOUN
ajst-15458	101	27	9	9	NUM
ajst-15458	101	28	.	.	PUNCT
ajst-15458	102	1	k=2	k=2	PROPN
ajst-15458	102	2	original	original	ADJ
ajst-15458	102	3	scatter	scatter	NOUN
ajst-15458	102	4	plot	plot	NOUN
ajst-15458	102	5	79	79	NUM
ajst-15458	102	6	the	the	DET
ajst-15458	102	7	visual	visual	ADJ
ajst-15458	102	8	scatter	scatter	NOUN
ajst-15458	102	9	diagram	diagram	NOUN
ajst-15458	102	10	is	be	AUX
ajst-15458	102	11	as	as	SCONJ
ajst-15458	102	12	follows	follow	VERB
ajst-15458	102	13	:	:	PUNCT
ajst-15458	102	14	figure	figure	NOUN
ajst-15458	102	15	10	10	NUM
ajst-15458	102	16	.	.	PUNCT
ajst-15458	103	1	k=2	k=2	PROPN
ajst-15458	103	2	visual	visual	ADJ
ajst-15458	103	3	scatter	scatter	NOUN
ajst-15458	103	4	plot	plot	VERB
ajst-15458	103	5	the	the	DET
ajst-15458	103	6	portrait	portrait	NOUN
ajst-15458	103	7	features	feature	NOUN
ajst-15458	103	8	of	of	ADP
ajst-15458	103	9	the	the	DET
ajst-15458	103	10	two	two	NUM
ajst-15458	103	11	clusters	cluster	NOUN
ajst-15458	103	12	are	be	AUX
ajst-15458	103	13	as	as	SCONJ
ajst-15458	103	14	follows	follow	VERB
ajst-15458	103	15	(	(	PUNCT
ajst-15458	103	16	using	use	VERB
ajst-15458	103	17	the	the	DET
ajst-15458	103	18	mean	mean	NOUN
ajst-15458	103	19	rounded	rounded	ADJ
ajst-15458	103	20	to	to	PART
ajst-15458	103	21	represent	represent	VERB
ajst-15458	103	22	the	the	DET
ajst-15458	103	23	cluster	cluster	NOUN
ajst-15458	103	24	)	)	PUNCT
ajst-15458	103	25	:	:	PUNCT
ajst-15458	103	26	table	table	NOUN
ajst-15458	103	27	4	4	NUM
ajst-15458	103	28	.	.	PUNCT
ajst-15458	103	29	portrait	portrait	NOUN
ajst-15458	103	30	features	feature	NOUN
ajst-15458	103	31	at	at	ADP
ajst-15458	103	32	k=2	k=2	PROPN
ajst-15458	103	33	index	index	NOUN
ajst-15458	103	34	cluster	cluster	NOUN
ajst-15458	103	35	0	0	NUM
ajst-15458	103	36	cluster	cluster	NOUN
ajst-15458	103	37	1	1	NUM
ajst-15458	103	38	source	source	NOUN
ajst-15458	103	39	data	data	NOUN
ajst-15458	103	40	quantity	quantity	NOUN
ajst-15458	103	41	14999	14999	NUM
ajst-15458	103	42	10011	10011	NUM
ajst-15458	103	43	region	region	NOUN
ajst-15458	103	44	east	east	PROPN
ajst-15458	103	45	china	china	PROPN
ajst-15458	103	46	south	south	PROPN
ajst-15458	103	47	china	china	PROPN
ajst-15458	103	48	line	line	NOUN
ajst-15458	103	49	level	level	NOUN
ajst-15458	103	50	2	2	NUM
ajst-15458	103	51	3	3	NUM
ajst-15458	103	52	educational	educational	ADJ
ajst-15458	103	53	background	background	NOUN
ajst-15458	104	1	undergraduat	undergraduat	VERB
ajst-15458	104	2	e	e	NOUN
ajst-15458	104	3	course	course	NOUN
ajst-15458	104	4	college	college	NOUN
ajst-15458	104	5	degree	degree	NOUN
ajst-15458	104	6	or	or	CCONJ
ajst-15458	104	7	equivalent	equivalent	ADJ
ajst-15458	104	8	matrimony	matrimony	NOUN
ajst-15458	104	9	be	be	AUX
ajst-15458	104	10	married	marry	VERB
ajst-15458	104	11	be	be	AUX
ajst-15458	104	12	married	marry	VERB
ajst-15458	104	13	annual	annual	ADJ
ajst-15458	104	14	household	household	NOUN
ajst-15458	104	15	income	income	NOUN
ajst-15458	104	16	200,000	200,000	NUM
ajst-15458	104	17	to	to	PART
ajst-15458	104	18	300,000	300,000	NUM
ajst-15458	104	19	200,000	200,000	NUM
ajst-15458	104	20	to	to	PART
ajst-15458	104	21	300,000	300,000	NUM
ajst-15458	104	22	sex	sex	NOUN
ajst-15458	104	23	male	male	ADJ
ajst-15458	104	24	male	male	NOUN
ajst-15458	104	25	do	do	AUX
ajst-15458	104	26	you	you	PRON
ajst-15458	104	27	have	have	VERB
ajst-15458	104	28	children	child	NOUN
ajst-15458	104	29	?	?	PUNCT
ajst-15458	105	1	is	be	AUX
ajst-15458	105	2	is	be	AUX
ajst-15458	105	3	age	age	NOUN
ajst-15458	105	4	29	29	NUM
ajst-15458	105	5	,	,	PUNCT
ajst-15458	105	6	59	59	NUM
ajst-15458	105	7	39	39	NUM
ajst-15458	105	8	,	,	PUNCT
ajst-15458	105	9	58	58	NUM
ajst-15458	105	10	age	age	NOUN
ajst-15458	105	11	range	range	VERB
ajst-15458	105	12	26	26	NUM
ajst-15458	105	13	-	-	SYM
ajst-15458	105	14	30	30	NUM
ajst-15458	105	15	years	year	NOUN
ajst-15458	105	16	old	old	ADJ
ajst-15458	105	17	36	36	NUM
ajst-15458	105	18	-	-	SYM
ajst-15458	105	19	40	40	NUM
ajst-15458	105	20	years	year	NOUN
ajst-15458	105	21	old	old	ADJ
ajst-15458	105	22	between	between	ADP
ajst-15458	105	23	generations	generation	NOUN
ajst-15458	105	24	after	after	ADP
ajst-15458	105	25	90s	90s	NUM
ajst-15458	105	26	after	after	ADP
ajst-15458	105	27	80s	80	NOUN
ajst-15458	105	28	4.4.2	4.4.2	NUM
ajst-15458	105	29	.	.	PUNCT
ajst-15458	106	1	number	number	NOUN
ajst-15458	106	2	of	of	ADP
ajst-15458	106	3	clusters	cluster	NOUN
ajst-15458	106	4	is	be	AUX
ajst-15458	106	5	3	3	NUM
ajst-15458	106	6	when	when	SCONJ
ajst-15458	106	7	k=3	k=3	PROPN
ajst-15458	106	8	and	and	CCONJ
ajst-15458	106	9	the	the	DET
ajst-15458	106	10	number	number	NOUN
ajst-15458	106	11	of	of	ADP
ajst-15458	106	12	clusters	cluster	NOUN
ajst-15458	106	13	is	be	AUX
ajst-15458	106	14	3	3	NUM
ajst-15458	106	15	,	,	PUNCT
ajst-15458	106	16	the	the	DET
ajst-15458	106	17	original	original	ADJ
ajst-15458	106	18	scatter	scatter	NOUN
ajst-15458	106	19	plot	plot	NOUN
ajst-15458	106	20	is	be	AUX
ajst-15458	106	21	as	as	SCONJ
ajst-15458	106	22	follows	follow	VERB
ajst-15458	106	23	:	:	PUNCT
ajst-15458	106	24	figure	figure	VERB
ajst-15458	106	25	11	11	NUM
ajst-15458	106	26	.	.	PUNCT
ajst-15458	107	1	k=3	k=3	PROPN
ajst-15458	107	2	original	original	ADJ
ajst-15458	107	3	scatter	scatter	NOUN
ajst-15458	107	4	plot	plot	NOUN
ajst-15458	107	5	the	the	DET
ajst-15458	107	6	visual	visual	ADJ
ajst-15458	107	7	scatter	scatter	NOUN
ajst-15458	107	8	diagram	diagram	NOUN
ajst-15458	107	9	is	be	AUX
ajst-15458	107	10	as	as	SCONJ
ajst-15458	107	11	follows	follow	VERB
ajst-15458	107	12	:	:	PUNCT
ajst-15458	107	13	figure	figure	NOUN
ajst-15458	107	14	12	12	NUM
ajst-15458	107	15	.	.	PUNCT
ajst-15458	108	1	k=3	k=3	PROPN
ajst-15458	108	2	visual	visual	ADJ
ajst-15458	108	3	scatter	scatter	NOUN
ajst-15458	108	4	plot	plot	VERB
ajst-15458	108	5	the	the	DET
ajst-15458	108	6	portrait	portrait	NOUN
ajst-15458	108	7	features	feature	NOUN
ajst-15458	108	8	of	of	ADP
ajst-15458	108	9	the	the	DET
ajst-15458	108	10	three	three	NUM
ajst-15458	108	11	clusters	cluster	NOUN
ajst-15458	108	12	are	be	AUX
ajst-15458	108	13	as	as	SCONJ
ajst-15458	108	14	follows	follow	VERB
ajst-15458	108	15	(	(	PUNCT
ajst-15458	108	16	using	use	VERB
ajst-15458	108	17	the	the	DET
ajst-15458	108	18	mean	mean	NOUN
ajst-15458	108	19	rounded	rounded	ADJ
ajst-15458	108	20	to	to	PART
ajst-15458	108	21	represent	represent	VERB
ajst-15458	108	22	the	the	DET
ajst-15458	108	23	cluster	cluster	NOUN
ajst-15458	108	24	)	)	PUNCT
ajst-15458	108	25	:	:	PUNCT
ajst-15458	108	26	table	table	NOUN
ajst-15458	108	27	5	5	NUM
ajst-15458	108	28	.	.	PUNCT
ajst-15458	108	29	portrait	portrait	NOUN
ajst-15458	108	30	features	feature	VERB
ajst-15458	108	31	at	at	ADP
ajst-15458	108	32	k=3	k=3	ADJ
ajst-15458	108	33	index	index	NOUN
ajst-15458	108	34	cluster	cluster	NOUN
ajst-15458	108	35	0	0	NUM
ajst-15458	108	36	cluster	cluster	NOUN
ajst-15458	108	37	1	1	NUM
ajst-15458	108	38	cluster	cluster	NOUN
ajst-15458	108	39	2	2	NUM
ajst-15458	108	40	source	source	NOUN
ajst-15458	108	41	data	datum	NOUN
ajst-15458	108	42	quantity	quantity	NOUN
ajst-15458	108	43	11587	11587	NUM
ajst-15458	108	44	7026	7026	NUM
ajst-15458	108	45	6397	6397	NUM
ajst-15458	108	46	region	region	NOUN
ajst-15458	108	47	east	east	PROPN
ajst-15458	108	48	china	china	PROPN
ajst-15458	108	49	south	south	PROPN
ajst-15458	108	50	china	china	PROPN
ajst-15458	108	51	north	north	PROPN
ajst-15458	108	52	china	china	PROPN
ajst-15458	108	53	line	line	NOUN
ajst-15458	108	54	level	level	NOUN
ajst-15458	108	55	2	2	NUM
ajst-15458	108	56	3	3	NUM
ajst-15458	108	57	2	2	NUM
ajst-15458	108	58	educational	educational	ADJ
ajst-15458	108	59	background	background	NOUN
ajst-15458	108	60	undergrad	undergrad	PROPN
ajst-15458	108	61	uate	uate	PROPN
ajst-15458	108	62	course	course	PROPN
ajst-15458	108	63	college	college	NOUN
ajst-15458	108	64	degree	degree	NOUN
ajst-15458	108	65	or	or	CCONJ
ajst-15458	108	66	equivalent	equivalent	ADJ
ajst-15458	108	67	undergraduat	undergraduat	ADJ
ajst-15458	108	68	e	e	NOUN
ajst-15458	108	69	course	course	NOUN
ajst-15458	108	70	matrimony	matrimony	NOUN
ajst-15458	108	71	be	be	AUX
ajst-15458	108	72	married	marry	VERB
ajst-15458	108	73	be	be	AUX
ajst-15458	108	74	married	married	ADJ
ajst-15458	108	75	spinster	spinster	NOUN
ajst-15458	108	76	annual	annual	ADJ
ajst-15458	108	77	household	household	NOUN
ajst-15458	108	78	income	income	NOUN
ajst-15458	108	79	200,000	200,000	NUM
ajst-15458	108	80	to	to	PART
ajst-15458	108	81	300,000	300,000	NUM
ajst-15458	108	82	150,000	150,000	NUM
ajst-15458	108	83	to	to	PART
ajst-15458	108	84	200,000	200,000	NUM
ajst-15458	108	85	150,000	150,000	NUM
ajst-15458	108	86	to	to	PART
ajst-15458	108	87	200,000	200,000	NUM
ajst-15458	108	88	sex	sex	NOUN
ajst-15458	108	89	male	male	ADJ
ajst-15458	108	90	male	male	ADJ
ajst-15458	108	91	male	male	NOUN
ajst-15458	108	92	do	do	AUX
ajst-15458	108	93	you	you	PRON
ajst-15458	108	94	have	have	VERB
ajst-15458	108	95	children	child	NOUN
ajst-15458	108	96	?	?	PUNCT
ajst-15458	109	1	is	be	AUX
ajst-15458	109	2	is	be	AUX
ajst-15458	109	3	no	no	DET
ajst-15458	109	4	age	age	NOUN
ajst-15458	109	5	32	32	NUM
ajst-15458	109	6	years	year	NOUN
ajst-15458	109	7	old	old	ADJ
ajst-15458	109	8	41.2	41.2	NUM
ajst-15458	109	9	years	year	NOUN
ajst-15458	109	10	old	old	ADJ
ajst-15458	109	11	26	26	NUM
ajst-15458	109	12	years	year	NOUN
ajst-15458	109	13	old	old	ADJ
ajst-15458	109	14	age	age	NOUN
ajst-15458	109	15	range	range	VERB
ajst-15458	109	16	31	31	NUM
ajst-15458	109	17	-	-	SYM
ajst-15458	109	18	35	35	NUM
ajst-15458	109	19	years	year	NOUN
ajst-15458	109	20	old	old	ADJ
ajst-15458	109	21	41	41	NUM
ajst-15458	109	22	-	-	SYM
ajst-15458	109	23	45	45	NUM
ajst-15458	109	24	years	year	NOUN
ajst-15458	109	25	old	old	ADJ
ajst-15458	109	26	26	26	NUM
ajst-15458	109	27	-	-	SYM
ajst-15458	109	28	30	30	NUM
ajst-15458	109	29	years	year	NOUN
ajst-15458	109	30	old	old	ADJ
ajst-15458	109	31	between	between	ADP
ajst-15458	109	32	generations	generation	NOUN
ajst-15458	109	33	after	after	ADP
ajst-15458	109	34	90s	90s	NUM
ajst-15458	109	35	after	after	ADP
ajst-15458	109	36	80s	80	NOUN
ajst-15458	109	37	95s	95	NOUN
ajst-15458	109	38	later	later	ADV
ajst-15458	109	39	4.4.3	4.4.3	NUM
ajst-15458	109	40	.	.	PUNCT
ajst-15458	110	1	cluster	cluster	NOUN
ajst-15458	110	2	number	number	NOUN
ajst-15458	110	3	is	be	AUX
ajst-15458	110	4	4	4	NUM
ajst-15458	110	5	when	when	SCONJ
ajst-15458	110	6	k=4	k=4	PROPN
ajst-15458	110	7	and	and	CCONJ
ajst-15458	110	8	the	the	DET
ajst-15458	110	9	number	number	NOUN
ajst-15458	110	10	of	of	ADP
ajst-15458	110	11	clusters	cluster	NOUN
ajst-15458	110	12	is	be	AUX
ajst-15458	110	13	4	4	NUM
ajst-15458	110	14	,	,	PUNCT
ajst-15458	110	15	the	the	DET
ajst-15458	110	16	original	original	ADJ
ajst-15458	110	17	scatter	scatter	NOUN
ajst-15458	110	18	plot	plot	NOUN
ajst-15458	110	19	is	be	AUX
ajst-15458	110	20	as	as	SCONJ
ajst-15458	110	21	follows	follow	VERB
ajst-15458	110	22	:	:	PUNCT
ajst-15458	110	23	figure	figure	VERB
ajst-15458	110	24	13	13	NUM
ajst-15458	110	25	.	.	PUNCT
ajst-15458	111	1	k=4	k=4	PROPN
ajst-15458	111	2	original	original	ADJ
ajst-15458	111	3	scatter	scatter	NOUN
ajst-15458	111	4	plot	plot	VERB
ajst-15458	111	5	the	the	DET
ajst-15458	111	6	visual	visual	ADJ
ajst-15458	111	7	scatter	scatter	NOUN
ajst-15458	111	8	diagram	diagram	NOUN
ajst-15458	111	9	is	be	AUX
ajst-15458	111	10	as	as	SCONJ
ajst-15458	111	11	follows	follow	VERB
ajst-15458	111	12	:	:	PUNCT
ajst-15458	111	13	figure	figure	VERB
ajst-15458	111	14	14	14	NUM
ajst-15458	111	15	.	.	PUNCT
ajst-15458	112	1	k=4	k=4	PROPN
ajst-15458	112	2	visual	visual	ADJ
ajst-15458	112	3	scatter	scatter	NOUN
ajst-15458	112	4	plot	plot	NOUN
ajst-15458	112	5	80	80	NUM
ajst-15458	112	6	the	the	DET
ajst-15458	112	7	portrait	portrait	NOUN
ajst-15458	112	8	features	feature	NOUN
ajst-15458	112	9	of	of	ADP
ajst-15458	112	10	the	the	DET
ajst-15458	112	11	four	four	NUM
ajst-15458	112	12	clusters	cluster	NOUN
ajst-15458	112	13	are	be	AUX
ajst-15458	112	14	as	as	SCONJ
ajst-15458	112	15	follows	follow	VERB
ajst-15458	112	16	(	(	PUNCT
ajst-15458	112	17	using	use	VERB
ajst-15458	112	18	the	the	DET
ajst-15458	112	19	mean	mean	NOUN
ajst-15458	112	20	rounded	rounded	ADJ
ajst-15458	112	21	to	to	PART
ajst-15458	112	22	represent	represent	VERB
ajst-15458	112	23	the	the	DET
ajst-15458	112	24	cluster	cluster	NOUN
ajst-15458	112	25	)	)	PUNCT
ajst-15458	112	26	:	:	PUNCT
ajst-15458	112	27	table	table	NOUN
ajst-15458	112	28	6	6	NUM
ajst-15458	112	29	.	.	PUNCT
ajst-15458	113	1	portrait	portrait	NOUN
ajst-15458	113	2	features	feature	VERB
ajst-15458	113	3	at	at	ADP
ajst-15458	113	4	k=4	k=4	PROPN
ajst-15458	113	5	index	index	NOUN
ajst-15458	113	6	cluster	cluster	NOUN
ajst-15458	113	7	0	0	NUM
ajst-15458	113	8	cluster	cluster	NOUN
ajst-15458	113	9	1	1	NUM
ajst-15458	113	10	cluster	cluster	NOUN
ajst-15458	113	11	2	2	NUM
ajst-15458	113	12	cluster	cluster	NOUN
ajst-15458	113	13	3	3	NUM
ajst-15458	113	14	source	source	NOUN
ajst-15458	113	15	data	datum	NOUN
ajst-15458	113	16	quantity	quantity	NOUN
ajst-15458	113	17	6369	6369	NUM
ajst-15458	113	18	6360	6360	NUM
ajst-15458	113	19	2401	2401	NUM
ajst-15458	113	20	9880	9880	NUM
ajst-15458	113	21	region	region	NOUN
ajst-15458	113	22	south	south	PROPN
ajst-15458	113	23	china	china	PROPN
ajst-15458	113	24	north	north	PROPN
ajst-15458	113	25	china	china	PROPN
ajst-15458	113	26	north	north	PROPN
ajst-15458	113	27	china	china	PROPN
ajst-15458	113	28	east	east	PROPN
ajst-15458	113	29	china	china	PROPN
ajst-15458	113	30	line	line	NOUN
ajst-15458	113	31	level	level	NOUN
ajst-15458	113	32	3	3	NUM
ajst-15458	113	33	2	2	NUM
ajst-15458	113	34	3	3	NUM
ajst-15458	113	35	2	2	NUM
ajst-15458	113	36	educational	educational	ADJ
ajst-15458	113	37	background	background	NOUN
ajst-15458	113	38	college	college	NOUN
ajst-15458	113	39	degree	degree	NOUN
ajst-15458	113	40	or	or	CCONJ
ajst-15458	113	41	equivalent	equivalent	ADJ
ajst-15458	113	42	undergraduate	undergraduate	NOUN
ajst-15458	113	43	course	course	NOUN
ajst-15458	113	44	undergraduate	undergraduate	NOUN
ajst-15458	113	45	course	course	NOUN
ajst-15458	113	46	undergraduate	undergraduate	NOUN
ajst-15458	113	47	course	course	NOUN
ajst-15458	113	48	matrimony	matrimony	NOUN
ajst-15458	113	49	be	be	VERB
ajst-15458	113	50	married	married	ADJ
ajst-15458	113	51	spinster	spinster	NOUN
ajst-15458	113	52	be	be	AUX
ajst-15458	113	53	married	married	ADJ
ajst-15458	113	54	be	be	AUX
ajst-15458	113	55	married	marry	VERB
ajst-15458	113	56	annual	annual	ADJ
ajst-15458	113	57	household	household	NOUN
ajst-15458	113	58	income	income	NOUN
ajst-15458	113	59	150,000	150,000	NUM
ajst-15458	113	60	to	to	PART
ajst-15458	113	61	200,000	200,000	NUM
ajst-15458	113	62	150,000	150,000	NUM
ajst-15458	113	63	to	to	PART
ajst-15458	113	64	200,000	200,000	NUM
ajst-15458	113	65	200,000	200,000	NUM
ajst-15458	113	66	to	to	PART
ajst-15458	113	67	300,000	300,000	NUM
ajst-15458	113	68	200,000	200,000	NUM
ajst-15458	113	69	to	to	PART
ajst-15458	113	70	300,000	300,000	NUM
ajst-15458	113	71	sex	sex	NOUN
ajst-15458	113	72	male	male	ADJ
ajst-15458	113	73	male	male	ADJ
ajst-15458	113	74	male	male	ADJ
ajst-15458	113	75	male	male	NOUN
ajst-15458	113	76	do	do	AUX
ajst-15458	113	77	you	you	PRON
ajst-15458	113	78	have	have	VERB
ajst-15458	113	79	children	child	NOUN
ajst-15458	113	80	?	?	PUNCT
ajst-15458	114	1	is	be	AUX
ajst-15458	114	2	no	no	PRON
ajst-15458	114	3	be	be	AUX
ajst-15458	114	4	married	married	ADJ
ajst-15458	114	5	is	be	AUX
ajst-15458	114	6	age	age	NOUN
ajst-15458	114	7	38	38	NUM
ajst-15458	114	8	years	year	NOUN
ajst-15458	114	9	old	old	ADJ
ajst-15458	114	10	26	26	NUM
ajst-15458	114	11	years	year	NOUN
ajst-15458	114	12	old	old	ADJ
ajst-15458	114	13	45.2	45.2	NUM
ajst-15458	114	14	years	year	NOUN
ajst-15458	114	15	old	old	ADJ
ajst-15458	114	16	32	32	NUM
ajst-15458	114	17	years	year	NOUN
ajst-15458	114	18	old	old	ADJ
ajst-15458	114	19	age	age	NOUN
ajst-15458	114	20	range	range	VERB
ajst-15458	114	21	36	36	NUM
ajst-15458	114	22	-	-	SYM
ajst-15458	114	23	40	40	NUM
ajst-15458	114	24	years	year	NOUN
ajst-15458	114	25	old	old	ADJ
ajst-15458	114	26	26	26	NUM
ajst-15458	114	27	-	-	SYM
ajst-15458	114	28	30	30	NUM
ajst-15458	114	29	years	year	NOUN
ajst-15458	114	30	old	old	ADJ
ajst-15458	114	31	41	41	NUM
ajst-15458	114	32	-	-	SYM
ajst-15458	114	33	45	45	NUM
ajst-15458	114	34	years	year	NOUN
ajst-15458	114	35	old	old	ADJ
ajst-15458	114	36	31	31	NUM
ajst-15458	114	37	-	-	SYM
ajst-15458	114	38	35	35	NUM
ajst-15458	114	39	years	year	NOUN
ajst-15458	114	40	old	old	ADJ
ajst-15458	114	41	between	between	ADP
ajst-15458	114	42	generations	generation	NOUN
ajst-15458	114	43	after	after	ADP
ajst-15458	114	44	85s	85	NOUN
ajst-15458	114	45	95s	95	NOUN
ajst-15458	114	46	later	later	ADV
ajst-15458	114	47	after	after	ADP
ajst-15458	114	48	75s	75	NOUN
ajst-15458	114	49	after	after	ADP
ajst-15458	114	50	90s	90s	NUM
ajst-15458	114	51	5	5	NUM
ajst-15458	114	52	.	.	X
ajst-15458	114	53	conclusion	conclusion	NOUN
ajst-15458	114	54	and	and	CCONJ
ajst-15458	114	55	prospect	prospect	NOUN
ajst-15458	114	56	through	through	ADP
ajst-15458	114	57	unsupervised	unsupervised	ADJ
ajst-15458	114	58	machine	machine	NOUN
ajst-15458	114	59	learning	learning	NOUN
ajst-15458	114	60	of	of	ADP
ajst-15458	114	61	multiple	multiple	ADJ
ajst-15458	114	62	clustering	clustering	ADJ
ajst-15458	114	63	algorithms	algorithm	NOUN
ajst-15458	114	64	(	(	PUNCT
ajst-15458	114	65	k	k	NOUN
ajst-15458	114	66	-	-	PUNCT
ajst-15458	114	67	means	means	ADJ
ajst-15458	114	68	,	,	PUNCT
ajst-15458	114	69	dbscan	dbscan	NOUN
ajst-15458	114	70	,	,	PUNCT
ajst-15458	114	71	etc	etc	X
ajst-15458	114	72	.	.	X
ajst-15458	114	73	)	)	PUNCT
ajst-15458	115	1	and	and	CCONJ
ajst-15458	115	2	related	related	ADJ
ajst-15458	115	3	algorithm	algorithm	NOUN
ajst-15458	115	4	effect	effect	NOUN
ajst-15458	115	5	evaluation	evaluation	NOUN
ajst-15458	115	6	attempts	attempt	NOUN
ajst-15458	115	7	,	,	PUNCT
ajst-15458	115	8	based	base	VERB
ajst-15458	115	9	on	on	ADP
ajst-15458	115	10	16	16	NUM
ajst-15458	115	11	objective	objective	ADJ
ajst-15458	115	12	indicators	indicator	NOUN
ajst-15458	115	13	such	such	ADJ
ajst-15458	115	14	as	as	ADP
ajst-15458	115	15	line	line	NOUN
ajst-15458	115	16	level	level	NOUN
ajst-15458	115	17	,	,	PUNCT
ajst-15458	115	18	age	age	NOUN
ajst-15458	115	19	,	,	PUNCT
ajst-15458	115	20	children	child	NOUN
ajst-15458	115	21	,	,	PUNCT
ajst-15458	115	22	education	education	NOUN
ajst-15458	115	23	,	,	PUNCT
ajst-15458	115	24	family	family	NOUN
ajst-15458	115	25	annual	annual	ADJ
ajst-15458	115	26	income	income	NOUN
ajst-15458	115	27	,	,	PUNCT
ajst-15458	115	28	region	region	NOUN
ajst-15458	115	29	,	,	PUNCT
ajst-15458	115	30	gender	gender	NOUN
ajst-15458	115	31	,	,	PUNCT
ajst-15458	115	32	marriage	marriage	NOUN
ajst-15458	115	33	,	,	PUNCT
ajst-15458	115	34	age	age	NOUN
ajst-15458	115	35	range	range	NOUN
ajst-15458	115	36	,	,	PUNCT
ajst-15458	115	37	generation	generation	NOUN
ajst-15458	115	38	,	,	PUNCT
ajst-15458	115	39	etc	etc	X
ajst-15458	115	40	.	.	X
ajst-15458	115	41	,	,	PUNCT
ajst-15458	115	42	database	database	NOUN
ajst-15458	115	43	construction	construction	NOUN
ajst-15458	115	44	,	,	PUNCT
ajst-15458	115	45	sample	sample	NOUN
ajst-15458	115	46	cleaning	cleaning	NOUN
ajst-15458	115	47	and	and	CCONJ
ajst-15458	115	48	database	database	NOUN
ajst-15458	115	49	sample	sample	NOUN
ajst-15458	115	50	structure	structure	NOUN
ajst-15458	115	51	adjustment.the	adjustment.the	DET
ajst-15458	115	52	classification	classification	NOUN
ajst-15458	115	53	model	model	NOUN
ajst-15458	115	54	of	of	ADP
ajst-15458	115	55	the	the	DET
ajst-15458	115	56	passenger	passenger	NOUN
ajst-15458	115	57	car	car	NOUN
ajst-15458	115	58	market	market	NOUN
ajst-15458	115	59	population	population	NOUN
ajst-15458	115	60	is	be	AUX
ajst-15458	115	61	obtained	obtain	VERB
ajst-15458	115	62	,	,	PUNCT
ajst-15458	115	63	and	and	CCONJ
ajst-15458	115	64	the	the	DET
ajst-15458	115	65	innovative	innovative	ADJ
ajst-15458	115	66	breakthrough	breakthrough	NOUN
ajst-15458	115	67	achieved	achieve	VERB
ajst-15458	115	68	on	on	ADP
ajst-15458	115	69	the	the	DET
ajst-15458	115	70	basis	basis	NOUN
ajst-15458	115	71	of	of	ADP
ajst-15458	115	72	the	the	DET
ajst-15458	115	73	previous	previous	ADJ
ajst-15458	115	74	subjective	subjective	ADJ
ajst-15458	115	75	and	and	CCONJ
ajst-15458	115	76	objective	objective	ADJ
ajst-15458	115	77	labels	label	NOUN
ajst-15458	115	78	has	have	AUX
ajst-15458	115	79	formed	form	VERB
ajst-15458	115	80	a	a	DET
ajst-15458	115	81	preliminary	preliminary	ADJ
ajst-15458	115	82	exploration	exploration	NOUN
ajst-15458	115	83	of	of	ADP
ajst-15458	115	84	the	the	DET
ajst-15458	115	85	overall	overall	ADJ
ajst-15458	115	86	passenger	passenger	NOUN
ajst-15458	115	87	car	car	NOUN
ajst-15458	115	88	market	market	NOUN
ajst-15458	115	89	population	population	NOUN
ajst-15458	115	90	classification	classification	NOUN
ajst-15458	115	91	based	base	VERB
ajst-15458	115	92	on	on	ADP
ajst-15458	115	93	pure	pure	ADJ
ajst-15458	115	94	objective	objective	ADJ
ajst-15458	115	95	indicators	indicator	NOUN
ajst-15458	115	96	.	.	PUNCT
ajst-15458	116	1	on	on	ADP
ajst-15458	116	2	the	the	DET
ajst-15458	116	3	basis	basis	NOUN
ajst-15458	116	4	of	of	ADP
ajst-15458	116	5	this	this	DET
ajst-15458	116	6	preliminary	preliminary	ADJ
ajst-15458	116	7	modeling	modeling	NOUN
ajst-15458	116	8	attempt	attempt	NOUN
ajst-15458	116	9	,	,	PUNCT
ajst-15458	116	10	the	the	DET
ajst-15458	116	11	algorithm	algorithm	NOUN
ajst-15458	116	12	needs	need	VERB
ajst-15458	116	13	to	to	PART
ajst-15458	116	14	be	be	AUX
ajst-15458	116	15	optimized	optimize	VERB
ajst-15458	116	16	in	in	ADP
ajst-15458	116	17	the	the	DET
ajst-15458	116	18	future	future	NOUN
ajst-15458	116	19	,	,	PUNCT
ajst-15458	116	20	and	and	CCONJ
ajst-15458	116	21	a	a	DET
ajst-15458	116	22	more	more	ADV
ajst-15458	116	23	perfect	perfect	ADJ
ajst-15458	116	24	modeling	modeling	NOUN
ajst-15458	116	25	method	method	NOUN
ajst-15458	116	26	can	can	AUX
ajst-15458	116	27	be	be	AUX
ajst-15458	116	28	preliminarily	preliminarily	ADV
ajst-15458	116	29	explored	explore	VERB
ajst-15458	116	30	based	base	VERB
ajst-15458	116	31	on	on	ADP
ajst-15458	116	32	this	this	DET
ajst-15458	116	33	model	model	NOUN
ajst-15458	116	34	,	,	PUNCT
ajst-15458	116	35	such	such	ADJ
ajst-15458	116	36	as	as	ADP
ajst-15458	116	37	hierarchical	hierarchical	ADJ
ajst-15458	116	38	clustering	clustering	NOUN
ajst-15458	116	39	for	for	ADP
ajst-15458	116	40	each	each	DET
ajst-15458	116	41	layer	layer	NOUN
ajst-15458	116	42	.	.	PUNCT
ajst-15458	117	1	at	at	ADP
ajst-15458	117	2	the	the	DET
ajst-15458	117	3	same	same	ADJ
ajst-15458	117	4	time	time	NOUN
ajst-15458	117	5	,	,	PUNCT
ajst-15458	117	6	more	more	ADJ
ajst-15458	117	7	algorithms	algorithm	NOUN
ajst-15458	117	8	and	and	CCONJ
ajst-15458	117	9	data	datum	NOUN
ajst-15458	117	10	processing	processing	NOUN
ajst-15458	117	11	methods	method	NOUN
ajst-15458	117	12	can	can	AUX
ajst-15458	117	13	be	be	AUX
ajst-15458	117	14	tried	try	VERB
ajst-15458	117	15	to	to	PART
ajst-15458	117	16	form	form	VERB
ajst-15458	117	17	a	a	DET
ajst-15458	117	18	complete	complete	ADJ
ajst-15458	117	19	set	set	NOUN
ajst-15458	117	20	of	of	ADP
ajst-15458	117	21	objective	objective	ADJ
ajst-15458	117	22	population	population	NOUN
ajst-15458	117	23	classification	classification	NOUN
ajst-15458	117	24	model	model	NOUN
ajst-15458	117	25	for	for	ADP
ajst-15458	117	26	passenger	passenger	NOUN
ajst-15458	117	27	car	car	NOUN
ajst-15458	117	28	market	market	NOUN
ajst-15458	117	29	users	user	NOUN
ajst-15458	117	30	,	,	PUNCT
ajst-15458	117	31	so	so	SCONJ
ajst-15458	117	32	as	as	SCONJ
ajst-15458	117	33	to	to	PART
ajst-15458	117	34	unify	unify	VERB
ajst-15458	117	35	the	the	DET
ajst-15458	117	36	cognition	cognition	NOUN
ajst-15458	117	37	of	of	ADP
ajst-15458	117	38	users	user	NOUN
ajst-15458	117	39	in	in	ADP
ajst-15458	117	40	all	all	DET
ajst-15458	117	41	business	business	NOUN
ajst-15458	117	42	links.thus	links.thu	NOUN
ajst-15458	117	43	avoid	avoid	VERB
ajst-15458	117	44	the	the	DET
ajst-15458	117	45	risk	risk	NOUN
ajst-15458	117	46	of	of	ADP
ajst-15458	117	47	development	development	NOUN
ajst-15458	117	48	deviation	deviation	NOUN
ajst-15458	117	49	,	,	PUNCT
ajst-15458	117	50	and	and	CCONJ
ajst-15458	117	51	realize	realize	VERB
ajst-15458	117	52	the	the	DET
ajst-15458	117	53	continuous	continuous	ADJ
ajst-15458	117	54	tracking	tracking	NOUN
ajst-15458	117	55	of	of	ADP
ajst-15458	117	56	population	population	NOUN
ajst-15458	117	57	change	change	NOUN
ajst-15458	117	58	trends	trend	NOUN
ajst-15458	117	59	.	.	PUNCT
ajst-15458	118	1	references	reference	NOUN
ajst-15458	118	2	[	[	X
ajst-15458	118	3	1	1	X
ajst-15458	118	4	]	]	PUNCT
ajst-15458	118	5	wang	wang	PROPN
ajst-15458	118	6	zhiyuan	zhiyuan	PROPN
ajst-15458	118	7	.	.	PUNCT
ajst-15458	119	1	what	what	PRON
ajst-15458	119	2	opportunities	opportunity	NOUN
ajst-15458	119	3	and	and	CCONJ
ajst-15458	119	4	challenges	challenge	NOUN
ajst-15458	119	5	will	will	AUX
ajst-15458	119	6	the	the	DET
ajst-15458	119	7	"	"	PUNCT
ajst-15458	119	8	new	new	ADJ
ajst-15458	119	9	four	four	NUM
ajst-15458	119	10	modernizations	modernization	NOUN
ajst-15458	119	11	of	of	ADP
ajst-15458	119	12	automobile	automobile	NOUN
ajst-15458	119	13	"	"	PUNCT
ajst-15458	119	14	bring	bring	NOUN
ajst-15458	119	15	[	[	NOUN
ajst-15458	119	16	n	n	X
ajst-15458	119	17	]	]	PUNCT
ajst-15458	119	18	.	.	PUNCT
ajst-15458	120	1	china	china	PROPN
ajst-15458	120	2	youth	youth	PROPN
ajst-15458	120	3	daily,2023	daily,2023	PROPN
ajst-15458	120	4	-	-	PUNCT
ajst-15458	120	5	07	07	NUM
ajst-15458	120	6	-	-	PUNCT
ajst-15458	120	7	27(011	27(011	NOUN
ajst-15458	120	8	)	)	PUNCT
ajst-15458	120	9	.	.	PUNCT
ajst-15458	121	1	[	[	X
ajst-15458	121	2	2	2	X
ajst-15458	121	3	]	]	X
ajst-15458	121	4	chang	chang	PROPN
ajst-15458	121	5	h.	h.	PROPN
ajst-15458	121	6	c.	c.	PROPN
ajst-15458	121	7	,	,	PUNCT
ajst-15458	121	8	tsai	tsai	PROPN
ajst-15458	121	9	h.	h.	PROPN
ajst-15458	121	10	p	p	PROPN
ajst-15458	121	11	..	..	PUNCT
ajst-15458	121	12	group	group	NOUN
ajst-15458	121	13	rfm	rfm	PROPN
ajst-15458	121	14	analysis	analysis	NOUN
ajst-15458	121	15	as	as	ADP
ajst-15458	121	16	a	a	DET
ajst-15458	121	17	novel	novel	ADJ
ajst-15458	121	18	framework	framework	NOUN
ajst-15458	121	19	to	to	PART
ajst-15458	121	20	discover	discover	VERB
ajst-15458	121	21	better	well	ADJ
ajst-15458	121	22	customer	customer	NOUN
ajst-15458	121	23	consumption	consumption	NOUN
ajst-15458	121	24	behavior[j	behavior[j	NOUN
ajst-15458	121	25	]	]	PUNCT
ajst-15458	121	26	.	.	PUNCT
ajst-15458	122	1	expert	expert	NOUN
ajst-15458	122	2	systems	system	NOUN
ajst-15458	122	3	with	with	ADP
ajst-15458	122	4	applications	application	NOUN
ajst-15458	122	5	,	,	PUNCT
ajst-15458	122	6	2011	2011	NUM
ajst-15458	122	7	,	,	PUNCT
ajst-15458	122	8	38(12	38(12	NUM
ajst-15458	122	9	):	):	PUNCT
ajst-15458	122	10	14499	14499	NUM
ajst-15458	122	11	-	-	SYM
ajst-15458	122	12	14513	14513	NUM
ajst-15458	122	13	.	.	PUNCT
ajst-15458	123	1	[	[	X
ajst-15458	123	2	3	3	X
ajst-15458	123	3	]	]	X
ajst-15458	123	4	han	han	PROPN
ajst-15458	123	5	s.	s.	PROPN
ajst-15458	123	6	h.	h.	PROPN
ajst-15458	123	7	,	,	PUNCT
ajst-15458	123	8	lu	lu	PROPN
ajst-15458	123	9	s.	s.	PROPN
ajst-15458	123	10	x.	x.	PROPN
ajst-15458	123	11	,	,	PUNCT
ajst-15458	123	12	leung	leung	PROPN
ajst-15458	123	13	s	s	PROPN
ajst-15458	123	14	..	..	PUNCT
ajst-15458	123	15	segmentation	segmentation	NOUN
ajst-15458	123	16	of	of	ADP
ajst-15458	123	17	telecom	telecom	NOUN
ajst-15458	123	18	customers	customer	NOUN
ajst-15458	123	19	based	base	VERB
ajst-15458	123	20	on	on	ADP
ajst-15458	123	21	customer	customer	NOUN
ajst-15458	123	22	value	value	NOUN
ajst-15458	123	23	by	by	ADP
ajst-15458	123	24	decision	decision	NOUN
ajst-15458	123	25	tree	tree	NOUN
ajst-15458	123	26	model[j	model[j	PROPN
ajst-15458	123	27	]	]	PUNCT
ajst-15458	123	28	.	.	PUNCT
ajst-15458	124	1	expert	expert	NOUN
ajst-15458	124	2	systems	system	NOUN
ajst-15458	124	3	with	with	ADP
ajst-15458	124	4	application	application	NOUN
ajst-15458	124	5	,	,	PUNCT
ajst-15458	124	6	2012	2012	NUM
ajst-15458	124	7	,	,	PUNCT
ajst-15458	124	8	39(4	39(4	NUM
ajst-15458	124	9	):	):	PUNCT
ajst-15458	124	10	3964	3964	NUM
ajst-15458	124	11	-	-	SYM
ajst-15458	124	12	3973	3973	NUM
ajst-15458	124	13	.	.	PUNCT
ajst-15458	125	1	[	[	X
ajst-15458	125	2	4	4	NUM
ajst-15458	125	3	]	]	PUNCT
ajst-15458	125	4	chen	chen	PROPN
ajst-15458	125	5	zhengyu	zhengyu	PROPN
ajst-15458	125	6	.	.	PUNCT
ajst-15458	126	1	research	research	NOUN
ajst-15458	126	2	on	on	ADP
ajst-15458	126	3	vehicle	vehicle	NOUN
ajst-15458	126	4	rerecognition	rerecognition	NOUN
ajst-15458	126	5	algorithm	algorithm	NOUN
ajst-15458	126	6	based	base	VERB
ajst-15458	126	7	on	on	ADP
ajst-15458	126	8	unsupervised	unsupervised	ADJ
ajst-15458	126	9	learning	learning	NOUN
ajst-15458	127	1	[	[	X
ajst-15458	127	2	d	d	X
ajst-15458	127	3	]	]	X
ajst-15458	127	4	.	.	PUNCT
ajst-15458	128	1	dalian	dalian	ADJ
ajst-15458	128	2	maritime	maritime	ADJ
ajst-15458	128	3	university	university	NOUN
ajst-15458	128	4	,	,	PUNCT
ajst-15458	128	5	2020	2020	NUM
ajst-15458	128	6	.	.	PUNCT
ajst-15458	129	1	[	[	X
ajst-15458	129	2	5	5	NUM
ajst-15458	129	3	]	]	X
ajst-15458	129	4	zhou	zhou	PROPN
ajst-15458	129	5	feng	feng	PROPN
ajst-15458	129	6	,	,	PUNCT
ajst-15458	129	7	yu	yu	PROPN
ajst-15458	129	8	yi	yi	PROPN
ajst-15458	129	9	,	,	PUNCT
ajst-15458	129	10	lin	lin	PROPN
ajst-15458	129	11	xin	xin	PROPN
ajst-15458	129	12	et	et	PROPN
ajst-15458	129	13	al.device	al.device	NOUN
ajst-15458	129	14	fault	fault	NOUN
ajst-15458	129	15	diagnosis	diagnosis	NOUN
ajst-15458	129	16	technology	technology	NOUN
ajst-15458	129	17	and	and	CCONJ
ajst-15458	129	18	algorithm	algorithm	NOUN
ajst-15458	129	19	fusion	fusion	NOUN
ajst-15458	129	20	based	base	VERB
ajst-15458	129	21	on	on	ADP
ajst-15458	129	22	supervised	supervised	ADJ
ajst-15458	129	23	and	and	CCONJ
ajst-15458	129	24	unsupervised	unsupervised	ADJ
ajst-15458	129	25	learning	learning	NOUN
ajst-15458	129	26	algorithms	algorithm	NOUN
ajst-15458	129	27	[	[	X
ajst-15458	129	28	j].industrial	j].industrial	ADJ
ajst-15458	129	29	technology	technology	NOUN
ajst-15458	129	30	innovation	innovation	NOUN
ajst-15458	129	31	,	,	PUNCT
ajst-15458	129	32	2002,9(04):30	2002,9(04):30	NUM
ajst-15458	129	33	-	-	SYM
ajst-15458	129	34	38	38	NUM
ajst-15458	129	35	.	.	PUNCT
ajst-15458	130	1	[	[	X
ajst-15458	130	2	6	6	NUM
ajst-15458	130	3	]	]	X
ajst-15458	130	4	huang	huang	PROPN
ajst-15458	130	5	yaping	yaping	PROPN
ajst-15458	130	6	,	,	PUNCT
ajst-15458	130	7	li	li	PROPN
ajst-15458	130	8	yuanjiang.research	yuanjiang.research	PROPN
ajst-15458	130	9	on	on	ADP
ajst-15458	130	10	e	e	PROPN
ajst-15458	130	11	-	-	PROPN
ajst-15458	130	12	commerce	commerce	NOUN
ajst-15458	130	13	user	user	NOUN
ajst-15458	130	14	segmentation	segmentation	NOUN
ajst-15458	130	15	based	base	VERB
ajst-15458	130	16	on	on	ADP
ajst-15458	130	17	k	k	ADJ
ajst-15458	130	18	-	-	PUNCT
ajst-15458	130	19	means	means	NOUN
ajst-15458	130	20	algorithm	algorithm	NOUN
ajst-15458	130	21	[	[	X
ajst-15458	130	22	j	j	X
ajst-15458	130	23	]	]	X
ajst-15458	130	24	.	.	PUNCT
ajst-15458	131	1	electronic	electronic	ADJ
ajst-15458	131	2	design	design	NOUN
ajst-15458	131	3	engineering	engineering	NOUN
ajst-15458	131	4	,	,	PUNCT
ajst-15458	131	5	2017(2	2017(2	PROPN
ajst-15458	131	6	):	):	PUNCT
ajst-15458	131	7	63	63	NUM
ajst-15458	131	8	-	-	SYM
ajst-15458	131	9	66	66	NUM
ajst-15458	131	10	.	.	PUNCT
ajst-15458	132	1	[	[	X
ajst-15458	132	2	7	7	X
ajst-15458	132	3	]	]	X
ajst-15458	132	4	mehar	mehar	ADJ
ajst-15458	132	5	a.	a.	NOUN
ajst-15458	132	6	m.	m.	PROPN
ajst-15458	132	7	,	,	PUNCT
ajst-15458	132	8	matawie	matawie	PROPN
ajst-15458	132	9	k.	k.	PROPN
ajst-15458	132	10	,	,	PUNCT
ajst-15458	132	11	maeder	maeder	NOUN
ajst-15458	132	12	a	a	PRON
ajst-15458	132	13	..	..	PUNCT
ajst-15458	132	14	determining	determine	VERB
ajst-15458	132	15	an	an	DET
ajst-15458	132	16	optimal	optimal	ADJ
ajst-15458	132	17	value	value	NOUN
ajst-15458	132	18	of	of	ADP
ajst-15458	132	19	k	k	PROPN
ajst-15458	132	20	in	in	ADP
ajst-15458	132	21	k	k	PROPN
ajst-15458	132	22	-	-	PUNCT
ajst-15458	132	23	means	mean	VERB
ajst-15458	132	24	clustering[c	clustering[c	PROPN
ajst-15458	132	25	]	]	PUNCT
ajst-15458	132	26	.	.	PUNCT
ajst-15458	133	1	ieee	ieee	PROPN
ajst-15458	133	2	international	international	PROPN
ajst-15458	133	3	conference	conference	NOUN
ajst-15458	133	4	on	on	ADP
ajst-15458	133	5	bioinformatics	bioinformatics	NOUN
ajst-15458	133	6	&	&	CCONJ
ajst-15458	133	7	biomedicine	biomedicine	NOUN
ajst-15458	133	8	.	.	PUNCT
ajst-15458	134	1	ieee	ieee	PROPN
ajst-15458	134	2	,	,	PUNCT
ajst-15458	134	3	2014	2014	NUM
ajst-15458	134	4	.	.	PUNCT
ajst-15458	135	1	[	[	X
ajst-15458	135	2	8	8	NUM
ajst-15458	135	3	]	]	PUNCT
ajst-15458	135	4	xu	xu	PROPN
ajst-15458	135	5	f.	f.	PROPN
ajst-15458	135	6	research	research	PROPN
ajst-15458	135	7	on	on	ADP
ajst-15458	135	8	cigarette	cigarette	NOUN
ajst-15458	135	9	retail	retail	ADJ
ajst-15458	135	10	customer	customer	NOUN
ajst-15458	135	11	classification	classification	NOUN
ajst-15458	135	12	based	base	VERB
ajst-15458	135	13	on	on	ADP
ajst-15458	135	14	dbscan	dbscan	PROPN
ajst-15458	135	15	clustering	cluster	VERB
ajst-15458	135	16	algorithm	algorithm	NOUN
ajst-15458	135	17	[	[	X
ajst-15458	135	18	j].china	j].china	PROPN
ajst-15458	135	19	market	market	NOUN
ajst-15458	135	20	,	,	PUNCT
ajst-15458	135	21	2023	2023	NUM
ajst-15458	135	22	(	(	PUNCT
ajst-15458	135	23	23	23	NUM
ajst-15458	135	24	):	):	PUNCT
ajst-15458	135	25	121	121	NUM
ajst-15458	135	26	-	-	SYM
ajst-15458	135	27	124	124	NUM
ajst-15458	135	28	.	.	PUNCT