id	sid	tid	token	lemma	pos
fbem-11077	1	1	frontiers	frontier	NOUN
fbem-11077	1	2	in	in	ADP
fbem-11077	1	3	business	business	NOUN
fbem-11077	1	4	,	,	PUNCT
fbem-11077	1	5	economics	economic	NOUN
fbem-11077	1	6	and	and	CCONJ
fbem-11077	1	7	management	management	NOUN
fbem-11077	1	8	issn	issn	PROPN
fbem-11077	1	9	:	:	PUNCT
fbem-11077	1	10	2766	2766	NUM
fbem-11077	1	11	-	-	PUNCT
fbem-11077	1	12	824x	824x	NUM
fbem-11077	1	13	|	|	ADJ
fbem-11077	1	14	vol	vol	NOUN
fbem-11077	1	15	.	.	PROPN
fbem-11077	2	1	10	10	NUM
fbem-11077	2	2	,	,	PUNCT
fbem-11077	2	3	no	no	INTJ
fbem-11077	2	4	.	.	NOUN
fbem-11077	2	5	2	2	NUM
fbem-11077	2	6	,	,	PUNCT
fbem-11077	2	7	2023	2023	NUM
fbem-11077	2	8	377	377	NUM
fbem-11077	2	9	a	a	DET
fbem-11077	2	10	house	house	NOUN
fbem-11077	2	11	price	price	NOUN
fbem-11077	2	12	prediction	prediction	NOUN
fbem-11077	2	13	model	model	NOUN
fbem-11077	2	14	based	base	VERB
fbem-11077	2	15	on	on	ADP
fbem-11077	2	16	k‐means	k‐mean	NOUN
fbem-11077	2	17	clustering	cluster	VERB
fbem-11077	2	18	and	and	CCONJ
fbem-11077	2	19	random	random	ADJ
fbem-11077	2	20	forest	forest	NOUN
fbem-11077	2	21	in	in	ADP
fbem-11077	2	22	guangzhou	guangzhou	PROPN
fbem-11077	2	23	zhishang	zhishang	PROPN
fbem-11077	2	24	huang1	huang1	PROPN
fbem-11077	2	25	,	,	PUNCT
fbem-11077	2	26	guanren	guanren	PROPN
fbem-11077	2	27	lai2	lai2	PROPN
fbem-11077	2	28	,	,	PUNCT
fbem-11077	2	29	*	*	PUNCT
fbem-11077	3	1	1school	1school	NUM
fbem-11077	3	2	of	of	ADP
fbem-11077	3	3	statistics	statistic	NOUN
fbem-11077	3	4	and	and	CCONJ
fbem-11077	3	5	mathematics	mathematic	NOUN
fbem-11077	3	6	,	,	PUNCT
fbem-11077	3	7	guangdong	guangdong	PROPN
fbem-11077	3	8	university	university	PROPN
fbem-11077	3	9	of	of	ADP
fbem-11077	3	10	finance	finance	NOUN
fbem-11077	3	11	and	and	CCONJ
fbem-11077	3	12	economics	economic	NOUN
fbem-11077	3	13	,	,	PUNCT
fbem-11077	3	14	guangzhou	guangzhou	PROPN
fbem-11077	3	15	,	,	PUNCT
fbem-11077	3	16	china	china	PROPN
fbem-11077	3	17	2school	2school	NUM
fbem-11077	3	18	of	of	ADP
fbem-11077	3	19	data	datum	NOUN
fbem-11077	3	20	science	science	NOUN
fbem-11077	3	21	,	,	PUNCT
fbem-11077	3	22	guangzhou	guangzhou	PROPN
fbem-11077	3	23	huashang	huashang	PROPN
fbem-11077	3	24	college	college	PROPN
fbem-11077	3	25	,	,	PUNCT
fbem-11077	3	26	guangzhou	guangzhou	PROPN
fbem-11077	3	27	,	,	PUNCT
fbem-11077	3	28	china	china	PROPN
fbem-11077	3	29	*	*	PUNCT
fbem-11077	3	30	corresponding	correspond	VERB
fbem-11077	3	31	author	author	NOUN
fbem-11077	3	32	:	:	PUNCT
fbem-11077	3	33	1448339928@qq.com	1448339928@qq.com	NUM
fbem-11077	3	34	abstract	abstract	NOUN
fbem-11077	3	35	:	:	PUNCT
fbem-11077	3	36	this	this	DET
fbem-11077	3	37	paper	paper	NOUN
fbem-11077	3	38	addresses	address	VERB
fbem-11077	3	39	the	the	DET
fbem-11077	3	40	key	key	ADJ
fbem-11077	3	41	issues	issue	NOUN
fbem-11077	3	42	in	in	ADP
fbem-11077	3	43	house	house	NOUN
fbem-11077	3	44	price	price	NOUN
fbem-11077	3	45	forecasting	forecasting	NOUN
fbem-11077	3	46	from	from	ADP
fbem-11077	3	47	multiple	multiple	ADJ
fbem-11077	3	48	perspectives	perspective	NOUN
fbem-11077	3	49	by	by	ADP
fbem-11077	3	50	establishing	establish	VERB
fbem-11077	3	51	a	a	DET
fbem-11077	3	52	house	house	NOUN
fbem-11077	3	53	price	price	NOUN
fbem-11077	3	54	forecasting	forecasting	NOUN
fbem-11077	3	55	model	model	NOUN
fbem-11077	3	56	for	for	ADP
fbem-11077	3	57	guangzhou	guangzhou	PROPN
fbem-11077	3	58	city	city	PROPN
fbem-11077	3	59	,	,	PUNCT
fbem-11077	3	60	providing	provide	VERB
fbem-11077	3	61	valuable	valuable	ADJ
fbem-11077	3	62	information	information	NOUN
fbem-11077	3	63	and	and	CCONJ
fbem-11077	3	64	decision	decision	NOUN
fbem-11077	3	65	support	support	NOUN
fbem-11077	3	66	for	for	ADP
fbem-11077	3	67	home	home	NOUN
fbem-11077	3	68	buyers	buyer	NOUN
fbem-11077	3	69	,	,	PUNCT
fbem-11077	3	70	developers	developer	NOUN
fbem-11077	3	71	,	,	PUNCT
fbem-11077	3	72	and	and	CCONJ
fbem-11077	3	73	the	the	DET
fbem-11077	3	74	government	government	NOUN
fbem-11077	3	75	.	.	PUNCT
fbem-11077	4	1	first	first	ADV
fbem-11077	4	2	,	,	PUNCT
fbem-11077	4	3	this	this	DET
fbem-11077	4	4	paper	paper	NOUN
fbem-11077	4	5	employs	employ	VERB
fbem-11077	4	6	the	the	DET
fbem-11077	4	7	person	person	NOUN
fbem-11077	4	8	coefficient	coefficient	NOUN
fbem-11077	4	9	,	,	PUNCT
fbem-11077	4	10	stepwise	stepwise	PROPN
fbem-11077	4	11	regression	regression	NOUN
fbem-11077	4	12	model	model	NOUN
fbem-11077	4	13	and	and	CCONJ
fbem-11077	4	14	t	t	PROPN
fbem-11077	4	15	-	-	PUNCT
fbem-11077	4	16	test	test	NOUN
fbem-11077	4	17	to	to	PART
fbem-11077	4	18	address	address	VERB
fbem-11077	4	19	the	the	DET
fbem-11077	4	20	problem	problem	NOUN
fbem-11077	4	21	of	of	ADP
fbem-11077	4	22	quantifying	quantify	VERB
fbem-11077	4	23	data	datum	NOUN
fbem-11077	4	24	and	and	CCONJ
fbem-11077	4	25	exploring	explore	VERB
fbem-11077	4	26	house	house	NOUN
fbem-11077	4	27	price	price	NOUN
fbem-11077	4	28	factors	factor	NOUN
fbem-11077	4	29	.	.	PUNCT
fbem-11077	5	1	by	by	ADP
fbem-11077	5	2	analyzing	analyze	VERB
fbem-11077	5	3	the	the	DET
fbem-11077	5	4	correlation	correlation	NOUN
fbem-11077	5	5	between	between	ADP
fbem-11077	5	6	the	the	DET
fbem-11077	5	7	relevant	relevant	ADJ
fbem-11077	5	8	variables	variable	NOUN
fbem-11077	5	9	and	and	CCONJ
fbem-11077	5	10	house	house	NOUN
fbem-11077	5	11	prices	price	NOUN
fbem-11077	5	12	,	,	PUNCT
fbem-11077	5	13	the	the	DET
fbem-11077	5	14	key	key	ADJ
fbem-11077	5	15	characteristics	characteristic	NOUN
fbem-11077	5	16	that	that	PRON
fbem-11077	5	17	have	have	VERB
fbem-11077	5	18	significant	significant	ADJ
fbem-11077	5	19	and	and	CCONJ
fbem-11077	5	20	strong	strong	ADJ
fbem-11077	5	21	correlation	correlation	NOUN
fbem-11077	5	22	effects	effect	NOUN
fbem-11077	5	23	on	on	ADP
fbem-11077	5	24	house	house	NOUN
fbem-11077	5	25	prices	price	NOUN
fbem-11077	5	26	are	be	AUX
fbem-11077	5	27	obtained	obtain	VERB
fbem-11077	5	28	.	.	PUNCT
fbem-11077	6	1	second	second	ADJ
fbem-11077	6	2	,	,	PUNCT
fbem-11077	6	3	the	the	DET
fbem-11077	6	4	kmeans	kmean	NOUN
fbem-11077	6	5	clustering	cluster	VERB
fbem-11077	6	6	model	model	NOUN
fbem-11077	6	7	was	be	AUX
fbem-11077	6	8	used	use	VERB
fbem-11077	6	9	to	to	PART
fbem-11077	6	10	classify	classify	VERB
fbem-11077	6	11	houses	house	NOUN
fbem-11077	6	12	into	into	ADP
fbem-11077	6	13	three	three	NUM
fbem-11077	6	14	categories	category	NOUN
fbem-11077	6	15	:	:	PUNCT
fbem-11077	6	16	economic	economic	ADJ
fbem-11077	6	17	houses	house	NOUN
fbem-11077	6	18	,	,	PUNCT
fbem-11077	6	19	comfortable	comfortable	ADJ
fbem-11077	6	20	houses	house	NOUN
fbem-11077	6	21	and	and	CCONJ
fbem-11077	6	22	high	high	ADJ
fbem-11077	6	23	-	-	PUNCT
fbem-11077	6	24	end	end	NOUN
fbem-11077	6	25	houses	house	NOUN
fbem-11077	6	26	.	.	PUNCT
fbem-11077	7	1	this	this	DET
fbem-11077	7	2	classification	classification	NOUN
fbem-11077	7	3	result	result	NOUN
fbem-11077	7	4	provides	provide	VERB
fbem-11077	7	5	a	a	DET
fbem-11077	7	6	more	more	ADV
fbem-11077	7	7	detailed	detailed	ADJ
fbem-11077	7	8	data	data	NOUN
fbem-11077	7	9	base	base	NOUN
fbem-11077	7	10	for	for	ADP
fbem-11077	7	11	the	the	DET
fbem-11077	7	12	subsequent	subsequent	ADJ
fbem-11077	7	13	construction	construction	NOUN
fbem-11077	7	14	of	of	ADP
fbem-11077	7	15	the	the	DET
fbem-11077	7	16	house	house	NOUN
fbem-11077	7	17	price	price	NOUN
fbem-11077	7	18	prediction	prediction	NOUN
fbem-11077	7	19	model	model	NOUN
fbem-11077	7	20	.	.	PUNCT
fbem-11077	8	1	finally	finally	ADV
fbem-11077	8	2	,	,	PUNCT
fbem-11077	8	3	the	the	DET
fbem-11077	8	4	random	random	ADJ
fbem-11077	8	5	forest	forest	NOUN
fbem-11077	8	6	house	house	PROPN
fbem-11077	8	7	price	price	NOUN
fbem-11077	8	8	prediction	prediction	NOUN
fbem-11077	8	9	model	model	NOUN
fbem-11077	8	10	was	be	AUX
fbem-11077	8	11	established	establish	VERB
fbem-11077	8	12	in	in	ADP
fbem-11077	8	13	this	this	DET
fbem-11077	8	14	paper	paper	NOUN
fbem-11077	8	15	,	,	PUNCT
fbem-11077	8	16	and	and	CCONJ
fbem-11077	8	17	the	the	DET
fbem-11077	8	18	model	model	NOUN
fbem-11077	8	19	was	be	AUX
fbem-11077	8	20	validated	validate	VERB
fbem-11077	8	21	by	by	ADP
fbem-11077	8	22	error	error	NOUN
fbem-11077	8	23	analysis	analysis	NOUN
fbem-11077	8	24	and	and	CCONJ
fbem-11077	8	25	stability	stability	NOUN
fbem-11077	8	26	analysis	analysis	NOUN
fbem-11077	8	27	.	.	PUNCT
fbem-11077	9	1	the	the	DET
fbem-11077	9	2	average	average	ADJ
fbem-11077	9	3	absolute	absolute	ADJ
fbem-11077	9	4	value	value	NOUN
fbem-11077	9	5	error	error	NOUN
fbem-11077	9	6	and	and	CCONJ
fbem-11077	9	7	goodness	goodness	NOUN
fbem-11077	9	8	-	-	PUNCT
fbem-11077	9	9	of	of	ADP
fbem-11077	9	10	-	-	PUNCT
fbem-11077	9	11	fit	fit	NOUN
fbem-11077	9	12	obtained	obtain	VERB
fbem-11077	9	13	were	be	AUX
fbem-11077	9	14	0.08	0.08	NUM
fbem-11077	9	15	and	and	CCONJ
fbem-11077	9	16	0.92	0.92	NUM
fbem-11077	9	17	,	,	PUNCT
fbem-11077	9	18	respectively	respectively	ADV
fbem-11077	9	19	,	,	PUNCT
fbem-11077	9	20	indicating	indicate	VERB
fbem-11077	9	21	that	that	SCONJ
fbem-11077	9	22	the	the	DET
fbem-11077	9	23	model	model	NOUN
fbem-11077	9	24	has	have	VERB
fbem-11077	9	25	high	high	ADJ
fbem-11077	9	26	accuracy	accuracy	NOUN
fbem-11077	9	27	and	and	CCONJ
fbem-11077	9	28	reliability	reliability	NOUN
fbem-11077	9	29	.	.	PUNCT
fbem-11077	10	1	the	the	DET
fbem-11077	10	2	research	research	NOUN
fbem-11077	10	3	in	in	ADP
fbem-11077	10	4	this	this	DET
fbem-11077	10	5	paper	paper	NOUN
fbem-11077	10	6	has	have	VERB
fbem-11077	10	7	important	important	ADJ
fbem-11077	10	8	implications	implication	NOUN
fbem-11077	10	9	for	for	ADP
fbem-11077	10	10	all	all	DET
fbem-11077	10	11	parties	party	NOUN
fbem-11077	10	12	,	,	PUNCT
fbem-11077	10	13	including	include	VERB
fbem-11077	10	14	home	home	NOUN
fbem-11077	10	15	buyers	buyer	NOUN
fbem-11077	10	16	,	,	PUNCT
fbem-11077	10	17	developers	developer	NOUN
fbem-11077	10	18	,	,	PUNCT
fbem-11077	10	19	and	and	CCONJ
fbem-11077	10	20	the	the	DET
fbem-11077	10	21	government	government	NOUN
fbem-11077	10	22	.	.	PUNCT
fbem-11077	11	1	for	for	ADP
fbem-11077	11	2	home	home	NOUN
fbem-11077	11	3	buyers	buyer	NOUN
fbem-11077	11	4	,	,	PUNCT
fbem-11077	11	5	the	the	DET
fbem-11077	11	6	model	model	NOUN
fbem-11077	11	7	can	can	AUX
fbem-11077	11	8	help	help	VERB
fbem-11077	11	9	them	they	PRON
fbem-11077	11	10	better	well	ADV
fbem-11077	11	11	understand	understand	VERB
fbem-11077	11	12	the	the	DET
fbem-11077	11	13	market	market	NOUN
fbem-11077	11	14	situation	situation	NOUN
fbem-11077	11	15	;	;	PUNCT
fbem-11077	11	16	for	for	ADP
fbem-11077	11	17	developers	developer	NOUN
fbem-11077	11	18	,	,	PUNCT
fbem-11077	11	19	the	the	DET
fbem-11077	11	20	model	model	NOUN
fbem-11077	11	21	can	can	AUX
fbem-11077	11	22	guide	guide	VERB
fbem-11077	11	23	their	their	PRON
fbem-11077	11	24	reasonable	reasonable	ADJ
fbem-11077	11	25	pricing	pricing	NOUN
fbem-11077	11	26	and	and	CCONJ
fbem-11077	11	27	development	development	NOUN
fbem-11077	11	28	strategies	strategy	NOUN
fbem-11077	11	29	;	;	PUNCT
fbem-11077	11	30	for	for	ADP
fbem-11077	11	31	the	the	DET
fbem-11077	11	32	government	government	NOUN
fbem-11077	11	33	,	,	PUNCT
fbem-11077	11	34	the	the	DET
fbem-11077	11	35	model	model	NOUN
fbem-11077	11	36	can	can	AUX
fbem-11077	11	37	provide	provide	VERB
fbem-11077	11	38	a	a	DET
fbem-11077	11	39	scientific	scientific	ADJ
fbem-11077	11	40	basis	basis	NOUN
fbem-11077	11	41	for	for	ADP
fbem-11077	11	42	real	real	ADJ
fbem-11077	11	43	estate	estate	NOUN
fbem-11077	11	44	market	market	NOUN
fbem-11077	11	45	regulation	regulation	NOUN
fbem-11077	11	46	and	and	CCONJ
fbem-11077	11	47	policy	policy	NOUN
fbem-11077	11	48	control	control	NOUN
fbem-11077	11	49	to	to	PART
fbem-11077	11	50	promote	promote	VERB
fbem-11077	11	51	market	market	NOUN
fbem-11077	11	52	stability	stability	NOUN
fbem-11077	11	53	and	and	CCONJ
fbem-11077	11	54	sustainable	sustainable	ADJ
fbem-11077	11	55	development	development	NOUN
fbem-11077	11	56	.	.	PUNCT
fbem-11077	12	1	keywords	keyword	NOUN
fbem-11077	12	2	:	:	PUNCT
fbem-11077	12	3	person	person	NOUN
fbem-11077	12	4	correlation	correlation	NOUN
fbem-11077	12	5	coefficient	coefficient	NOUN
fbem-11077	12	6	,	,	PUNCT
fbem-11077	12	7	stepwise	stepwise	PROPN
fbem-11077	12	8	regression	regression	NOUN
fbem-11077	12	9	model	model	NOUN
fbem-11077	12	10	,	,	PUNCT
fbem-11077	12	11	elbow	elbow	VERB
fbem-11077	12	12	principle	principle	NOUN
fbem-11077	12	13	,	,	PUNCT
fbem-11077	12	14	k	k	ADJ
fbem-11077	12	15	-	-	PUNCT
fbem-11077	12	16	means	mean	VERB
fbem-11077	12	17	clustering	clustering	NOUN
fbem-11077	12	18	model	model	NOUN
fbem-11077	12	19	,	,	PUNCT
fbem-11077	12	20	random	random	ADJ
fbem-11077	12	21	forest	forest	NOUN
fbem-11077	12	22	prediction	prediction	NOUN
fbem-11077	12	23	model	model	NOUN
fbem-11077	12	24	.	.	PUNCT
fbem-11077	13	1	1	1	X
fbem-11077	13	2	.	.	X
fbem-11077	13	3	introduction	introduction	NOUN
fbem-11077	13	4	since	since	SCONJ
fbem-11077	13	5	1990	1990	NUM
fbem-11077	13	6	,	,	PUNCT
fbem-11077	13	7	china	china	PROPN
fbem-11077	13	8	's	's	PART
fbem-11077	13	9	real	real	ADJ
fbem-11077	13	10	estate	estate	NOUN
fbem-11077	13	11	market	market	NOUN
fbem-11077	13	12	has	have	AUX
fbem-11077	13	13	been	be	AUX
fbem-11077	13	14	developing	develop	VERB
fbem-11077	13	15	rapidly	rapidly	ADV
fbem-11077	13	16	and	and	CCONJ
fbem-11077	13	17	housing	housing	NOUN
fbem-11077	13	18	prices	price	NOUN
fbem-11077	13	19	have	have	AUX
fbem-11077	13	20	continued	continue	VERB
fbem-11077	13	21	to	to	PART
fbem-11077	13	22	rise	rise	VERB
fbem-11077	13	23	,	,	PUNCT
fbem-11077	13	24	but	but	CCONJ
fbem-11077	13	25	frequent	frequent	ADJ
fbem-11077	13	26	adjustments	adjustment	NOUN
fbem-11077	13	27	in	in	ADP
fbem-11077	13	28	property	property	NOUN
fbem-11077	13	29	market	market	NOUN
fbem-11077	13	30	policies	policy	NOUN
fbem-11077	13	31	have	have	AUX
fbem-11077	13	32	led	lead	VERB
fbem-11077	13	33	to	to	ADP
fbem-11077	13	34	large	large	ADJ
fbem-11077	13	35	fluctuations	fluctuation	NOUN
fbem-11077	13	36	in	in	ADP
fbem-11077	13	37	housing	housing	NOUN
fbem-11077	13	38	prices	price	NOUN
fbem-11077	13	39	.	.	PUNCT
fbem-11077	14	1	with	with	ADP
fbem-11077	14	2	the	the	DET
fbem-11077	14	3	continuous	continuous	ADJ
fbem-11077	14	4	acceleration	acceleration	NOUN
fbem-11077	14	5	of	of	ADP
fbem-11077	14	6	urbanization	urbanization	NOUN
fbem-11077	14	7	,	,	PUNCT
fbem-11077	14	8	the	the	DET
fbem-11077	14	9	real	real	ADJ
fbem-11077	14	10	estate	estate	NOUN
fbem-11077	14	11	market	market	NOUN
fbem-11077	14	12	has	have	AUX
fbem-11077	14	13	become	become	VERB
fbem-11077	14	14	an	an	DET
fbem-11077	14	15	important	important	ADJ
fbem-11077	14	16	economic	economic	ADJ
fbem-11077	14	17	field	field	NOUN
fbem-11077	14	18	in	in	ADP
fbem-11077	14	19	modern	modern	ADJ
fbem-11077	14	20	society	society	NOUN
fbem-11077	14	21	.	.	PUNCT
fbem-11077	15	1	in	in	ADP
fbem-11077	15	2	this	this	DET
fbem-11077	15	3	field	field	NOUN
fbem-11077	15	4	,	,	PUNCT
fbem-11077	15	5	house	house	NOUN
fbem-11077	15	6	price	price	NOUN
fbem-11077	15	7	is	be	AUX
fbem-11077	15	8	a	a	DET
fbem-11077	15	9	key	key	ADJ
fbem-11077	15	10	indicator	indicator	NOUN
fbem-11077	15	11	,	,	PUNCT
fbem-11077	15	12	which	which	PRON
fbem-11077	15	13	is	be	AUX
fbem-11077	15	14	of	of	ADP
fbem-11077	15	15	great	great	ADJ
fbem-11077	15	16	significance	significance	NOUN
fbem-11077	15	17	to	to	ADP
fbem-11077	15	18	all	all	DET
fbem-11077	15	19	parties	party	NOUN
fbem-11077	15	20	such	such	ADJ
fbem-11077	15	21	as	as	ADP
fbem-11077	15	22	home	home	NOUN
fbem-11077	15	23	buyers	buyer	NOUN
fbem-11077	15	24	,	,	PUNCT
fbem-11077	15	25	developers	developer	NOUN
fbem-11077	15	26	and	and	CCONJ
fbem-11077	15	27	government	government	NOUN
fbem-11077	15	28	.	.	PUNCT
fbem-11077	16	1	therefore	therefore	ADV
fbem-11077	16	2	,	,	PUNCT
fbem-11077	16	3	home	home	NOUN
fbem-11077	16	4	price	price	NOUN
fbem-11077	16	5	forecasting	forecasting	NOUN
fbem-11077	16	6	is	be	AUX
fbem-11077	16	7	very	very	ADV
fbem-11077	16	8	helpful	helpful	ADJ
fbem-11077	16	9	for	for	ADP
fbem-11077	16	10	home	home	NOUN
fbem-11077	16	11	buyers	buyer	NOUN
fbem-11077	16	12	to	to	PART
fbem-11077	16	13	choose	choose	VERB
fbem-11077	16	14	the	the	DET
fbem-11077	16	15	timing	timing	NOUN
fbem-11077	16	16	of	of	ADP
fbem-11077	16	17	home	home	NOUN
fbem-11077	16	18	purchase	purchase	NOUN
fbem-11077	16	19	and	and	CCONJ
fbem-11077	16	20	avoid	avoid	VERB
fbem-11077	16	21	the	the	DET
fbem-11077	16	22	risk	risk	NOUN
fbem-11077	16	23	of	of	ADP
fbem-11077	16	24	asset	asset	NOUN
fbem-11077	16	25	depreciation	depreciation	NOUN
fbem-11077	16	26	.	.	PUNCT
fbem-11077	17	1	as	as	SCONJ
fbem-11077	17	2	home	home	NOUN
fbem-11077	17	3	buyers	buyer	NOUN
fbem-11077	17	4	are	be	AUX
fbem-11077	17	5	often	often	ADV
fbem-11077	17	6	at	at	ADP
fbem-11077	17	7	a	a	DET
fbem-11077	17	8	disadvantage	disadvantage	NOUN
fbem-11077	17	9	due	due	ADP
fbem-11077	17	10	to	to	ADP
fbem-11077	17	11	the	the	DET
fbem-11077	17	12	asymmetry	asymmetry	NOUN
fbem-11077	17	13	of	of	ADP
fbem-11077	17	14	home	home	NOUN
fbem-11077	17	15	price	price	NOUN
fbem-11077	17	16	information	information	NOUN
fbem-11077	17	17	,	,	PUNCT
fbem-11077	17	18	home	home	NOUN
fbem-11077	17	19	price	price	NOUN
fbem-11077	17	20	forecasting	forecasting	NOUN
fbem-11077	17	21	can	can	AUX
fbem-11077	17	22	provide	provide	VERB
fbem-11077	17	23	more	more	ADJ
fbem-11077	17	24	reference	reference	NOUN
fbem-11077	17	25	information	information	NOUN
fbem-11077	17	26	to	to	PART
fbem-11077	17	27	help	help	VERB
fbem-11077	17	28	them	they	PRON
fbem-11077	17	29	assess	assess	VERB
fbem-11077	17	30	the	the	DET
fbem-11077	17	31	actual	actual	ADJ
fbem-11077	17	32	value	value	NOUN
fbem-11077	17	33	of	of	ADP
fbem-11077	17	34	their	their	PRON
fbem-11077	17	35	homes	home	NOUN
fbem-11077	17	36	and	and	CCONJ
fbem-11077	17	37	choose	choose	VERB
fbem-11077	17	38	a	a	DET
fbem-11077	17	39	more	more	ADV
fbem-11077	17	40	cost	cost	NOUN
fbem-11077	17	41	-	-	PUNCT
fbem-11077	17	42	effective	effective	ADJ
fbem-11077	17	43	property	property	NOUN
fbem-11077	17	44	.	.	PUNCT
fbem-11077	18	1	this	this	DET
fbem-11077	18	2	paper	paper	NOUN
fbem-11077	18	3	quantifies	quantify	VERB
fbem-11077	18	4	the	the	DET
fbem-11077	18	5	data	datum	NOUN
fbem-11077	18	6	of	of	ADP
fbem-11077	18	7	each	each	DET
fbem-11077	18	8	characteristic	characteristic	NOUN
fbem-11077	18	9	of	of	ADP
fbem-11077	18	10	house	house	NOUN
fbem-11077	18	11	price	price	NOUN
fbem-11077	18	12	information	information	NOUN
fbem-11077	18	13	and	and	CCONJ
fbem-11077	18	14	finds	find	VERB
fbem-11077	18	15	the	the	DET
fbem-11077	18	16	influence	influence	NOUN
fbem-11077	18	17	of	of	ADP
fbem-11077	18	18	each	each	DET
fbem-11077	18	19	factor	factor	NOUN
fbem-11077	18	20	on	on	ADP
fbem-11077	18	21	house	house	NOUN
fbem-11077	18	22	price	price	NOUN
fbem-11077	18	23	,	,	PUNCT
fbem-11077	18	24	then	then	ADV
fbem-11077	18	25	classifies	classify	VERB
fbem-11077	18	26	the	the	DET
fbem-11077	18	27	quantified	quantified	PROPN
fbem-11077	18	28	house	house	NOUN
fbem-11077	18	29	data	data	PROPN
fbem-11077	18	30	,	,	PUNCT
fbem-11077	18	31	and	and	CCONJ
fbem-11077	18	32	explains	explain	VERB
fbem-11077	18	33	the	the	DET
fbem-11077	18	34	reasons	reason	NOUN
fbem-11077	18	35	and	and	CCONJ
fbem-11077	18	36	results	result	NOUN
fbem-11077	18	37	of	of	ADP
fbem-11077	18	38	the	the	DET
fbem-11077	18	39	classification	classification	NOUN
fbem-11077	18	40	.	.	PUNCT
fbem-11077	19	1	finally	finally	ADV
fbem-11077	19	2	,	,	PUNCT
fbem-11077	19	3	the	the	DET
fbem-11077	19	4	index	index	NOUN
fbem-11077	19	5	data	datum	NOUN
fbem-11077	19	6	from	from	ADP
fbem-11077	19	7	the	the	DET
fbem-11077	19	8	above	above	ADJ
fbem-11077	19	9	analysis	analysis	NOUN
fbem-11077	19	10	are	be	AUX
fbem-11077	19	11	combined	combine	VERB
fbem-11077	19	12	to	to	PART
fbem-11077	19	13	build	build	VERB
fbem-11077	19	14	a	a	DET
fbem-11077	19	15	follow	follow	VERB
fbem-11077	19	16	-	-	PUNCT
fbem-11077	19	17	in	in	ADP
fbem-11077	19	18	forest	forest	NOUN
fbem-11077	19	19	house	house	PROPN
fbem-11077	19	20	price	price	NOUN
fbem-11077	19	21	prediction	prediction	NOUN
fbem-11077	19	22	model	model	NOUN
fbem-11077	19	23	.	.	PUNCT
fbem-11077	20	1	2	2	X
fbem-11077	20	2	.	.	X
fbem-11077	20	3	data	datum	NOUN
fbem-11077	20	4	pre	pre	ADJ
fbem-11077	20	5	-	-	NOUN
fbem-11077	20	6	processing	processing	NOUN
fbem-11077	20	7	in	in	ADP
fbem-11077	20	8	this	this	DET
fbem-11077	20	9	paper	paper	NOUN
fbem-11077	20	10	,	,	PUNCT
fbem-11077	20	11	we	we	PRON
fbem-11077	20	12	obtained	obtain	VERB
fbem-11077	20	13	a	a	DET
fbem-11077	20	14	large	large	ADJ
fbem-11077	20	15	number	number	NOUN
fbem-11077	20	16	of	of	ADP
fbem-11077	20	17	feature	feature	NOUN
fbem-11077	20	18	values	value	NOUN
fbem-11077	20	19	and	and	CCONJ
fbem-11077	20	20	data	datum	NOUN
fbem-11077	20	21	based	base	VERB
fbem-11077	20	22	on	on	ADP
fbem-11077	20	23	the	the	DET
fbem-11077	20	24	house	house	PROPN
fbem-11077	20	25	price	price	NOUN
fbem-11077	20	26	information	information	NOUN
fbem-11077	20	27	of	of	ADP
fbem-11077	20	28	guangzhou	guangzhou	PROPN
fbem-11077	20	29	city	city	PROPN
fbem-11077	20	30	,	,	PUNCT
fbem-11077	20	31	including	include	VERB
fbem-11077	20	32	'	'	PUNCT
fbem-11077	20	33	housetotalmoney	housetotalmoney	NOUN
fbem-11077	20	34	'	'	PUNCT
fbem-11077	20	35	,	,	PUNCT
fbem-11077	20	36	'	'	PUNCT
fbem-11077	20	37	housesingleprice	housesingleprice	NOUN
fbem-11077	20	38	'	'	PUNCT
fbem-11077	20	39	,	,	PUNCT
fbem-11077	20	40	'	'	PUNCT
fbem-11077	20	41	houselocation	houselocation	NOUN
fbem-11077	20	42	'	'	PUNCT
fbem-11077	20	43	,	,	PUNCT
fbem-11077	20	44	'	'	PUNCT
fbem-11077	20	45	housetype','housefloor	housetype','housefloor	PROPN
fbem-11077	20	46	'	'	PUNCT
fbem-11077	20	47	,	,	PUNCT
fbem-11077	20	48	'	'	PUNCT
fbem-11077	20	49	housebuildingarea	housebuildingarea	VERB
fbem-11077	20	50	'	'	PUNCT
fbem-11077	20	51	,	,	PUNCT
fbem-11077	20	52	'	'	PUNCT
fbem-11077	20	53	housestructure	housestructure	NOUN
fbem-11077	20	54	'	'	PUNCT
fbem-11077	20	55	,	,	PUNCT
fbem-11077	20	56	'	'	PUNCT
fbem-11077	20	57	houseinnerarea	houseinnerarea	VERB
fbem-11077	20	58	'	'	PUNCT
fbem-11077	20	59	,	,	PUNCT
fbem-11077	20	60	'	'	PUNCT
fbem-11077	20	61	houseorientation	houseorientation	NOUN
fbem-11077	20	62	'	'	PUNCT
fbem-11077	20	63	,	,	PUNCT
fbem-11077	20	64	'	'	PUNCT
fbem-11077	20	65	housedecoration	housedecoration	NOUN
fbem-11077	20	66	'	'	PUNCT
fbem-11077	20	67	,	,	PUNCT
fbem-11077	20	68	'	'	PUNCT
fbem-11077	20	69	houseelevatorratio	houseelevatorratio	NOUN
fbem-11077	20	70	'	'	PUNCT
fbem-11077	20	71	,	,	PUNCT
fbem-11077	20	72	'	'	PUNCT
fbem-11077	20	73	houseelevator	houseelevator	NOUN
fbem-11077	20	74	'	'	PUNCT
fbem-11077	20	75	,	,	PUNCT
fbem-11077	20	76	'	'	PUNCT
fbem-11077	20	77	reset	reset	VERB
fbem-11077	20	78	cycle	cycle	NOUN
fbem-11077	20	79	'	'	PUNCT
fbem-11077	20	80	,	,	PUNCT
fbem-11077	20	81	'	'	PUNCT
fbem-11077	20	82	housetradeproperty	housetradeproperty	NOUN
fbem-11077	20	83	'	'	PUNCT
fbem-11077	20	84	,	,	PUNCT
fbem-11077	20	85	'	'	PUNCT
fbem-11077	20	86	houseusage	houseusage	NOUN
fbem-11077	20	87	'	'	PUNCT
fbem-11077	20	88	,	,	PUNCT
fbem-11077	20	89	'	'	PUNCT
fbem-11077	20	90	houseagelimit	houseagelimit	VERB
fbem-11077	20	91	'	'	PUNCT
fbem-11077	20	92	,	,	PUNCT
fbem-11077	20	93	'	'	PUNCT
fbem-11077	20	94	houseprivilegeproperty	houseprivilegeproperty	NOUN
fbem-11077	20	95	'	'	PUNCT
fbem-11077	20	96	,	,	PUNCT
fbem-11077	20	97	'	'	PUNCT
fbem-11077	20	98	housepledge	housepledge	NOUN
fbem-11077	20	99	'	'	PUNCT
fbem-11077	20	100	,	,	PUNCT
fbem-11077	20	101	etc	etc	X
fbem-11077	20	102	.	.	X
fbem-11077	21	1	in	in	ADP
fbem-11077	21	2	subsequent	subsequent	ADJ
fbem-11077	21	3	calculations	calculation	NOUN
fbem-11077	21	4	housetotalmoney	housetotalmoney	NOUN
fbem-11077	21	5	is	be	AUX
fbem-11077	21	6	represented	represent	VERB
fbem-11077	21	7	by	by	ADP
fbem-11077	21	8	𝑦	𝑦	PROPN
fbem-11077	21	9	and	and	CCONJ
fbem-11077	21	10	the	the	DET
fbem-11077	21	11	rest	rest	NOUN
fbem-11077	21	12	of	of	ADP
fbem-11077	21	13	the	the	DET
fbem-11077	21	14	data	datum	NOUN
fbem-11077	21	15	categories	category	NOUN
fbem-11077	21	16	are	be	AUX
fbem-11077	21	17	represented	represent	VERB
fbem-11077	21	18	by	by	ADP
fbem-11077	21	19	𝑥	𝑥	PROPN
fbem-11077	21	20	𝑥	𝑥	X
fbem-11077	21	21	.	.	PUNCT
fbem-11077	22	1	upon	upon	SCONJ
fbem-11077	22	2	inspection	inspection	NOUN
fbem-11077	22	3	,	,	PUNCT
fbem-11077	22	4	we	we	PRON
fbem-11077	22	5	found	find	VERB
fbem-11077	22	6	that	that	SCONJ
fbem-11077	22	7	the	the	DET
fbem-11077	22	8	data	datum	NOUN
fbem-11077	22	9	we	we	PRON
fbem-11077	22	10	obtained	obtain	VERB
fbem-11077	22	11	had	have	VERB
fbem-11077	22	12	more	more	ADV
fbem-11077	22	13	missing	missing	ADJ
fbem-11077	22	14	values	value	NOUN
fbem-11077	22	15	and	and	CCONJ
fbem-11077	22	16	outliers	outlier	NOUN
fbem-11077	22	17	.	.	PUNCT
fbem-11077	23	1	the	the	DET
fbem-11077	23	2	processing	processing	NOUN
fbem-11077	23	3	of	of	ADP
fbem-11077	23	4	them	they	PRON
fbem-11077	23	5	is	be	AUX
fbem-11077	23	6	shown	show	VERB
fbem-11077	23	7	in	in	ADP
fbem-11077	23	8	table	table	NOUN
fbem-11077	23	9	1	1	NUM
fbem-11077	23	10	.	.	PUNCT
fbem-11077	23	11	table	table	NOUN
fbem-11077	23	12	1	1	NUM
fbem-11077	23	13	.	.	PUNCT
fbem-11077	24	1	missing	missing	ADJ
fbem-11077	24	2	and	and	CCONJ
fbem-11077	24	3	outlier	outlier	NOUN
fbem-11077	24	4	handling	handle	VERB
fbem-11077	24	5	processing	processing	NOUN
fbem-11077	24	6	fields	field	NOUN
fbem-11077	24	7	original	original	ADJ
fbem-11077	24	8	data	datum	NOUN
fbem-11077	24	9	style	style	NOUN
fbem-11077	24	10	processing	processing	NOUN
fbem-11077	24	11	number	number	NOUN
fbem-11077	24	12	of	of	ADP
fbem-11077	24	13	bars	bar	NOUN
fbem-11077	24	14	processed	process	VERB
fbem-11077	24	15	housetotalmoney	housetotalmoney	NOUN
fbem-11077	24	16	housesingleprice	housesingleprice	NOUN
fbem-11077	24	17	the	the	DET
fbem-11077	24	18	former	former	ADJ
fbem-11077	24	19	is	be	AUX
fbem-11077	24	20	no	no	DET
fbem-11077	24	21	data	datum	NOUN
fbem-11077	24	22	available	available	ADJ
fbem-11077	24	23	,	,	PUNCT
fbem-11077	24	24	the	the	DET
fbem-11077	24	25	latter	latter	ADJ
fbem-11077	24	26	is	be	AUX
fbem-11077	24	27	empty	empty	ADJ
fbem-11077	24	28	delete	delete	ADJ
fbem-11077	24	29	195	195	NUM
fbem-11077	24	30	houseinnerarea	houseinnerarea	NOUN
fbem-11077	24	31	east	east	PROPN
fbem-11077	24	32	,	,	PUNCT
fbem-11077	24	33	south	south	ADJ
fbem-11077	24	34	and	and	CCONJ
fbem-11077	24	35	other	other	ADJ
fbem-11077	24	36	directions	direction	NOUN
fbem-11077	24	37	delete	delete	VERB
fbem-11077	24	38	5	5	NUM
fbem-11077	24	39	housestructure	housestructure	NOUN
fbem-11077	24	40	no	no	DET
fbem-11077	24	41	data	datum	NOUN
fbem-11077	24	42	available	available	ADJ
fbem-11077	24	43	delete	delete	VERB
fbem-11077	24	44	25	25	NUM
fbem-11077	24	45	houseinnerarea	houseinnerarea	NOUN
fbem-11077	24	46	no	no	DET
fbem-11077	24	47	data	datum	NOUN
fbem-11077	24	48	available	available	ADJ
fbem-11077	24	49	replace	replace	NOUN
fbem-11077	24	50	with	with	ADP
fbem-11077	24	51	data	datum	NOUN
fbem-11077	24	52	from	from	ADP
fbem-11077	24	53	housebuildingarea	housebuildingarea	NOUN
fbem-11077	24	54	836	836	NUM
fbem-11077	24	55	we	we	PRON
fbem-11077	24	56	then	then	ADV
fbem-11077	24	57	further	far	ADV
fbem-11077	24	58	quantify	quantify	VERB
fbem-11077	24	59	some	some	PRON
fbem-11077	24	60	of	of	ADP
fbem-11077	24	61	the	the	DET
fbem-11077	24	62	feature	feature	NOUN
fbem-11077	24	63	values	value	NOUN
fbem-11077	24	64	.	.	PUNCT
fbem-11077	25	1	houselocation	houselocation	NOUN
fbem-11077	25	2	:	:	PUNCT
fbem-11077	25	3	establish	establish	VERB
fbem-11077	25	4	a	a	DET
fbem-11077	25	5	mapping	mapping	NOUN
fbem-11077	25	6	between	between	ADP
fbem-11077	25	7	categories	category	NOUN
fbem-11077	25	8	378	378	NUM
fbem-11077	25	9	and	and	CCONJ
fbem-11077	25	10	values	value	NOUN
fbem-11077	25	11	.	.	PUNCT
fbem-11077	26	1	downtown	downtown	NOUN
fbem-11077	26	2	=	=	NOUN
fbem-11077	26	3	3	3	NUM
fbem-11077	26	4	,	,	PUNCT
fbem-11077	26	5	peri	peri	NOUN
fbem-11077	26	6	-	-	PUNCT
fbem-11077	26	7	urban	urban	ADJ
fbem-11077	26	8	=	=	ADJ
fbem-11077	26	9	2	2	NUM
fbem-11077	26	10	,	,	PUNCT
fbem-11077	26	11	and	and	CCONJ
fbem-11077	26	12	distant	distant	ADJ
fbem-11077	26	13	=	=	SYM
fbem-11077	26	14	1	1	X
fbem-11077	26	15	.	.	PUNCT
fbem-11077	27	1	to	to	PART
fbem-11077	27	2	define	define	VERB
fbem-11077	27	3	the	the	DET
fbem-11077	27	4	distance	distance	NOUN
fbem-11077	27	5	,	,	PUNCT
fbem-11077	27	6	the	the	DET
fbem-11077	27	7	economic	economic	ADJ
fbem-11077	27	8	center	center	NOUN
fbem-11077	27	9	of	of	ADP
fbem-11077	27	10	the	the	DET
fbem-11077	27	11	district	district	NOUN
fbem-11077	27	12	where	where	SCONJ
fbem-11077	27	13	each	each	DET
fbem-11077	27	14	house	house	NOUN
fbem-11077	27	15	is	be	AUX
fbem-11077	27	16	located	locate	VERB
fbem-11077	27	17	is	be	AUX
fbem-11077	27	18	taken	take	VERB
fbem-11077	27	19	as	as	ADP
fbem-11077	27	20	the	the	DET
fbem-11077	27	21	center	center	NOUN
fbem-11077	27	22	of	of	ADP
fbem-11077	27	23	the	the	DET
fbem-11077	27	24	circle	circle	NOUN
fbem-11077	27	25	,	,	PUNCT
fbem-11077	27	26	and	and	CCONJ
fbem-11077	27	27	then	then	ADV
fbem-11077	27	28	the	the	DET
fbem-11077	27	29	distance	distance	NOUN
fbem-11077	27	30	of	of	ADP
fbem-11077	27	31	each	each	DET
fbem-11077	27	32	house	house	NOUN
fbem-11077	27	33	neighborhood	neighborhood	NOUN
fbem-11077	27	34	location	location	NOUN
fbem-11077	27	35	from	from	ADP
fbem-11077	27	36	the	the	DET
fbem-11077	27	37	nearest	near	ADJ
fbem-11077	27	38	economic	economic	ADJ
fbem-11077	27	39	center	center	NOUN
fbem-11077	27	40	is	be	AUX
fbem-11077	27	41	calculated	calculate	VERB
fbem-11077	27	42	.	.	PUNCT
fbem-11077	28	1	trisections	trisection	NOUN
fbem-11077	28	2	and	and	CCONJ
fbem-11077	28	3	sextiles	sextile	NOUN
fbem-11077	28	4	are	be	AUX
fbem-11077	28	5	used	use	VERB
fbem-11077	28	6	in	in	ADP
fbem-11077	28	7	statistics	statistic	NOUN
fbem-11077	28	8	to	to	PART
fbem-11077	28	9	describe	describe	VERB
fbem-11077	28	10	the	the	DET
fbem-11077	28	11	distribution	distribution	NOUN
fbem-11077	28	12	of	of	ADP
fbem-11077	28	13	data	datum	NOUN
fbem-11077	28	14	,	,	PUNCT
fbem-11077	28	15	so	so	CCONJ
fbem-11077	28	16	when	when	SCONJ
fbem-11077	28	17	distinguishing	distinguish	VERB
fbem-11077	28	18	between	between	ADP
fbem-11077	28	19	downtown	downtown	NOUN
fbem-11077	28	20	,	,	PUNCT
fbem-11077	28	21	periurban	periurban	ADJ
fbem-11077	28	22	and	and	CCONJ
fbem-11077	28	23	distant	distant	ADJ
fbem-11077	28	24	suburbs	suburb	NOUN
fbem-11077	28	25	,	,	PUNCT
fbem-11077	28	26	the	the	DET
fbem-11077	28	27	data	datum	NOUN
fbem-11077	28	28	set	set	VERB
fbem-11077	28	29	is	be	AUX
fbem-11077	28	30	divided	divide	VERB
fbem-11077	28	31	by	by	ADP
fbem-11077	28	32	calculating	calculate	VERB
fbem-11077	28	33	the	the	DET
fbem-11077	28	34	trisections	trisection	NOUN
fbem-11077	28	35	and	and	CCONJ
fbem-11077	28	36	sextiles	sextile	NOUN
fbem-11077	28	37	of	of	ADP
fbem-11077	28	38	the	the	DET
fbem-11077	28	39	data	datum	NOUN
fbem-11077	28	40	set	set	VERB
fbem-11077	28	41	.	.	PUNCT
fbem-11077	29	1	housestructure	housestructure	NOUN
fbem-11077	29	2	:	:	PUNCT
fbem-11077	29	3	the	the	DET
fbem-11077	29	4	rating	rating	NOUN
fbem-11077	29	5	is	be	AUX
fbem-11077	29	6	based	base	VERB
fbem-11077	29	7	on	on	ADP
fbem-11077	29	8	the	the	DET
fbem-11077	29	9	value	value	NOUN
fbem-11077	29	10	and	and	CCONJ
fbem-11077	29	11	condition	condition	NOUN
fbem-11077	29	12	of	of	ADP
fbem-11077	29	13	the	the	DET
fbem-11077	29	14	structure	structure	NOUN
fbem-11077	29	15	type	type	NOUN
fbem-11077	29	16	.	.	PUNCT
fbem-11077	30	1	e.g.	e.g.	ADV
fbem-11077	30	2	staggered	stagger	VERB
fbem-11077	30	3	=	=	NOUN
fbem-11077	30	4	4	4	NUM
fbem-11077	30	5	,	,	PUNCT
fbem-11077	30	6	duplex	duplex	NOUN
fbem-11077	30	7	=	=	SYM
fbem-11077	30	8	3	3	NUM
fbem-11077	30	9	,	,	PUNCT
fbem-11077	30	10	flat	flat	ADJ
fbem-11077	30	11	=	=	SYM
fbem-11077	30	12	2	2	NUM
fbem-11077	30	13	,	,	PUNCT
fbem-11077	30	14	leap	leap	NOUN
fbem-11077	30	15	=	=	NOUN
fbem-11077	30	16	1	1	X
fbem-11077	30	17	.	.	X
fbem-11077	30	18	houseorientation	houseorientation	NOUN
fbem-11077	30	19	:	:	PUNCT
fbem-11077	30	20	based	base	VERB
fbem-11077	30	21	on	on	ADP
fbem-11077	30	22	lighting	lighting	NOUN
fbem-11077	30	23	and	and	CCONJ
fbem-11077	30	24	sunlight	sunlight	NOUN
fbem-11077	30	25	exposure	exposure	NOUN
fbem-11077	30	26	,	,	PUNCT
fbem-11077	30	27	the	the	DET
fbem-11077	30	28	eight	eight	NUM
fbem-11077	30	29	directions	direction	NOUN
fbem-11077	30	30	of	of	ADP
fbem-11077	30	31	house	house	NOUN
fbem-11077	30	32	orientation	orientation	NOUN
fbem-11077	30	33	in	in	ADP
fbem-11077	30	34	guangzhou	guangzhou	PROPN
fbem-11077	30	35	were	be	AUX
fbem-11077	30	36	rated	rate	VERB
fbem-11077	30	37	by	by	ADP
fbem-11077	30	38	reviewing	review	VERB
fbem-11077	30	39	the	the	DET
fbem-11077	30	40	data	datum	NOUN
fbem-11077	30	41	.	.	PUNCT
fbem-11077	31	1	southeast=8	southeast=8	NOUN
fbem-11077	31	2	,	,	PUNCT
fbem-11077	31	3	south=7	south=7	PROPN
fbem-11077	31	4	,	,	PUNCT
fbem-11077	31	5	southwest=6	southwest=6	PROPN
fbem-11077	31	6	,	,	PUNCT
fbem-11077	31	7	east=5	east=5	PROPN
fbem-11077	31	8	,	,	PUNCT
fbem-11077	31	9	west=4	west=4	PROPN
fbem-11077	31	10	,	,	PUNCT
fbem-11077	31	11	northwest=3	northwest=3	PROPN
fbem-11077	31	12	,	,	PUNCT
fbem-11077	31	13	north=2	north=2	PROPN
fbem-11077	31	14	,	,	PUNCT
fbem-11077	31	15	northeast=1	northeast=1	PROPN
fbem-11077	31	16	.	.	PROPN
fbem-11077	32	1	for	for	ADP
fbem-11077	32	2	houses	house	NOUN
fbem-11077	32	3	with	with	ADP
fbem-11077	32	4	multiple	multiple	ADJ
fbem-11077	32	5	orientations	orientation	NOUN
fbem-11077	32	6	,	,	PUNCT
fbem-11077	32	7	the	the	DET
fbem-11077	32	8	scores	score	NOUN
fbem-11077	32	9	were	be	AUX
fbem-11077	32	10	averaged	average	VERB
fbem-11077	32	11	.	.	PUNCT
fbem-11077	33	1	houseelevatorratio	houseelevatorratio	NOUN
fbem-11077	33	2	:	:	PUNCT
fbem-11077	33	3	elevator	elevator	NOUN
fbem-11077	33	4	ratio	ratio	NOUN
fbem-11077	33	5	=	=	NOUN
fbem-11077	33	6	number	number	NOUN
fbem-11077	33	7	of	of	ADP
fbem-11077	33	8	elevators	elevator	NOUN
fbem-11077	33	9	/	/	SYM
fbem-11077	33	10	number	number	NOUN
fbem-11077	33	11	of	of	ADP
fbem-11077	33	12	households	household	NOUN
fbem-11077	33	13	.	.	PUNCT
fbem-11077	34	1	houseelevator	houseelevator	NOUN
fbem-11077	34	2	:	:	PUNCT
fbem-11077	34	3	with	with	ADP
fbem-11077	34	4	elevator	elevator	NOUN
fbem-11077	34	5	=	=	NOUN
fbem-11077	34	6	1	1	NUM
fbem-11077	34	7	;	;	PUNCT
fbem-11077	34	8	without	without	ADP
fbem-11077	34	9	elevator	elevator	NOUN
fbem-11077	34	10	or	or	CCONJ
fbem-11077	34	11	no	no	DET
fbem-11077	34	12	data	datum	NOUN
fbem-11077	34	13	=	=	SYM
fbem-11077	34	14	0	0	X
fbem-11077	34	15	.	.	PUNCT
fbem-11077	35	1	housedecoration	housedecoration	NOUN
fbem-11077	35	2	:	:	PUNCT
fbem-11077	35	3	rating	rating	NOUN
fbem-11077	35	4	according	accord	VERB
fbem-11077	35	5	to	to	ADP
fbem-11077	35	6	the	the	DET
fbem-11077	35	7	degree	degree	NOUN
fbem-11077	35	8	of	of	ADP
fbem-11077	35	9	decoration	decoration	NOUN
fbem-11077	35	10	:	:	PUNCT
fbem-11077	35	11	"	"	PUNCT
fbem-11077	35	12	other	other	ADJ
fbem-11077	35	13	"	"	PUNCT
fbem-11077	35	14	is	be	AUX
fbem-11077	35	15	set	set	VERB
fbem-11077	35	16	to	to	ADP
fbem-11077	35	17	0	0	NUM
fbem-11077	35	18	because	because	SCONJ
fbem-11077	35	19	it	it	PRON
fbem-11077	35	20	can	can	AUX
fbem-11077	35	21	not	not	PART
fbem-11077	35	22	be	be	AUX
fbem-11077	35	23	judged	judge	VERB
fbem-11077	35	24	.	.	PUNCT
fbem-11077	36	1	other=0	other=0	PROPN
fbem-11077	36	2	,	,	PUNCT
fbem-11077	36	3	rough=1	rough=1	PROPN
fbem-11077	36	4	,	,	PUNCT
fbem-11077	36	5	simple=2	simple=2	PROPN
fbem-11077	36	6	,	,	PUNCT
fbem-11077	36	7	fine=3	fine=3	PROPN
fbem-11077	36	8	.	.	PROPN
fbem-11077	36	9	houseagelimit	houseagelimit	PROPN
fbem-11077	36	10	:	:	PUNCT
fbem-11077	36	11	the	the	DET
fbem-11077	36	12	variable	variable	NOUN
fbem-11077	36	13	has	have	VERB
fbem-11077	36	14	two	two	NUM
fbem-11077	36	15	kinds	kind	NOUN
fbem-11077	36	16	of	of	ADP
fbem-11077	36	17	values	value	NOUN
fbem-11077	36	18	:	:	PUNCT
fbem-11077	36	19	full	full	ADJ
fbem-11077	36	20	five	five	NUM
fbem-11077	36	21	years	year	NOUN
fbem-11077	36	22	and	and	CCONJ
fbem-11077	36	23	full	full	ADJ
fbem-11077	36	24	two	two	NUM
fbem-11077	36	25	years	year	NOUN
fbem-11077	36	26	,	,	PUNCT
fbem-11077	36	27	so	so	ADV
fbem-11077	36	28	construct	construct	VERB
fbem-11077	36	29	dummy	dummy	ADJ
fbem-11077	36	30	variables	variable	NOUN
fbem-11077	36	31	:	:	PUNCT
fbem-11077	36	32	the	the	DET
fbem-11077	36	33	substance	substance	NOUN
fbem-11077	36	34	of	of	ADP
fbem-11077	36	35	the	the	DET
fbem-11077	36	36	constructed	construct	VERB
fbem-11077	36	37	dummy	dummy	ADJ
fbem-11077	36	38	variables	variable	NOUN
fbem-11077	36	39	is	be	AUX
fbem-11077	36	40	full	full	ADJ
fbem-11077	36	41	five	five	NUM
fbem-11077	36	42	years	year	NOUN
fbem-11077	36	43	=	=	SYM
fbem-11077	36	44	1	1	NUM
fbem-11077	36	45	,	,	PUNCT
fbem-11077	36	46	not	not	PART
fbem-11077	36	47	full	full	ADJ
fbem-11077	36	48	five	five	NUM
fbem-11077	36	49	years	year	NOUN
fbem-11077	36	50	=	=	SYM
fbem-11077	36	51	0	0	NUM
fbem-11077	36	52	,	,	PUNCT
fbem-11077	36	53	but	but	CCONJ
fbem-11077	36	54	in	in	ADP
fbem-11077	36	55	this	this	DET
fbem-11077	36	56	question	question	NOUN
fbem-11077	36	57	the	the	DET
fbem-11077	36	58	value	value	NOUN
fbem-11077	36	59	of	of	ADP
fbem-11077	36	60	not	not	PART
fbem-11077	36	61	full	full	ADJ
fbem-11077	36	62	five	five	NUM
fbem-11077	36	63	years	year	NOUN
fbem-11077	36	64	is	be	AUX
fbem-11077	36	65	only	only	ADV
fbem-11077	36	66	full	full	ADJ
fbem-11077	36	67	two	two	NUM
fbem-11077	36	68	years	year	NOUN
fbem-11077	36	69	,	,	PUNCT
fbem-11077	36	70	so	so	CCONJ
fbem-11077	36	71	it	it	PRON
fbem-11077	36	72	is	be	AUX
fbem-11077	36	73	constructed	construct	VERB
fbem-11077	36	74	as	as	ADP
fbem-11077	36	75	full	full	ADJ
fbem-11077	36	76	five	five	NUM
fbem-11077	36	77	years	year	NOUN
fbem-11077	36	78	=	=	SYM
fbem-11077	36	79	1	1	NUM
fbem-11077	36	80	,	,	PUNCT
fbem-11077	36	81	full	full	ADJ
fbem-11077	36	82	two	two	NUM
fbem-11077	36	83	years	year	NOUN
fbem-11077	36	84	=	=	SYM
fbem-11077	36	85	0	0	X
fbem-11077	36	86	.	.	PUNCT
fbem-11077	36	87	houseusage	houseusage	NOUN
fbem-11077	36	88	:	:	PUNCT
fbem-11077	36	89	the	the	DET
fbem-11077	36	90	variable	variable	NOUN
fbem-11077	36	91	has	have	VERB
fbem-11077	36	92	two	two	NUM
fbem-11077	36	93	values	value	NOUN
fbem-11077	36	94	,	,	PUNCT
fbem-11077	36	95	commercial	commercial	ADJ
fbem-11077	36	96	and	and	CCONJ
fbem-11077	36	97	residential	residential	ADJ
fbem-11077	36	98	,	,	PUNCT
fbem-11077	36	99	which	which	PRON
fbem-11077	36	100	indicate	indicate	VERB
fbem-11077	36	101	the	the	DET
fbem-11077	36	102	type	type	NOUN
fbem-11077	36	103	of	of	ADP
fbem-11077	36	104	use	use	NOUN
fbem-11077	36	105	of	of	ADP
fbem-11077	36	106	the	the	DET
fbem-11077	36	107	house	house	NOUN
fbem-11077	36	108	.	.	PUNCT
fbem-11077	37	1	therefore	therefore	ADV
fbem-11077	37	2	,	,	PUNCT
fbem-11077	37	3	the	the	DET
fbem-11077	37	4	dummy	dummy	ADJ
fbem-11077	37	5	variable	variable	NOUN
fbem-11077	37	6	is	be	AUX
fbem-11077	37	7	constructed	construct	VERB
fbem-11077	37	8	as	as	ADP
fbem-11077	37	9	:	:	PUNCT
fbem-11077	37	10	commercial	commercial	ADJ
fbem-11077	37	11	/	/	SYM
fbem-11077	37	12	residential	residential	ADJ
fbem-11077	37	13	=	=	NOUN
fbem-11077	37	14	0	0	NUM
fbem-11077	37	15	,	,	PUNCT
fbem-11077	37	16	ordinary	ordinary	ADJ
fbem-11077	37	17	house	house	NOUN
fbem-11077	37	18	=	=	SYM
fbem-11077	37	19	1	1	X
fbem-11077	37	20	.	.	PUNCT
fbem-11077	37	21	housetradeproperty	housetradeproperty	NOUN
fbem-11077	37	22	:	:	PUNCT
fbem-11077	37	23	the	the	DET
fbem-11077	37	24	rating	rating	NOUN
fbem-11077	37	25	is	be	AUX
fbem-11077	37	26	based	base	VERB
fbem-11077	37	27	on	on	ADP
fbem-11077	37	28	the	the	DET
fbem-11077	37	29	market	market	NOUN
fbem-11077	37	30	price	price	NOUN
fbem-11077	37	31	of	of	ADP
fbem-11077	37	32	the	the	DET
fbem-11077	37	33	nature	nature	NOUN
fbem-11077	37	34	of	of	ADP
fbem-11077	37	35	the	the	DET
fbem-11077	37	36	transaction	transaction	NOUN
fbem-11077	37	37	:	:	PUNCT
fbem-11077	37	38	by	by	ADP
fbem-11077	37	39	consulting	consult	VERB
fbem-11077	37	40	the	the	DET
fbem-11077	37	41	data	datum	NOUN
fbem-11077	38	1	[	[	X
fbem-11077	38	2	1	1	NUM
fbem-11077	38	3	]	]	PUNCT
fbem-11077	38	4	,	,	PUNCT
fbem-11077	38	5	the	the	DET
fbem-11077	38	6	rating	rating	NOUN
fbem-11077	38	7	can	can	AUX
fbem-11077	38	8	be	be	AUX
fbem-11077	38	9	set	set	VERB
fbem-11077	38	10	as	as	SCONJ
fbem-11077	38	11	follows	follow	VERB
fbem-11077	38	12	:	:	PUNCT
fbem-11077	38	13	commercial	commercial	ADJ
fbem-11077	38	14	housing	housing	NOUN
fbem-11077	38	15	=	=	SYM
fbem-11077	38	16	10	10	NUM
fbem-11077	38	17	,	,	PUNCT
fbem-11077	38	18	housing	housing	NOUN
fbem-11077	38	19	reform	reform	NOUN
fbem-11077	38	20	and	and	CCONJ
fbem-11077	38	21	private	private	ADJ
fbem-11077	38	22	property	property	NOUN
fbem-11077	38	23	=	=	SYM
fbem-11077	38	24	8	8	NUM
fbem-11077	38	25	,	,	PUNCT
fbem-11077	38	26	affordable	affordable	ADJ
fbem-11077	38	27	housing	housing	NOUN
fbem-11077	38	28	=	=	SYM
fbem-11077	38	29	6	6	NUM
fbem-11077	38	30	,	,	PUNCT
fbem-11077	38	31	relocated	relocate	VERB
fbem-11077	38	32	housing	housing	NOUN
fbem-11077	38	33	=	=	SYM
fbem-11077	38	34	4	4	X
fbem-11077	39	1	.	.	PUNCT
fbem-11077	39	2	houseprivilegeproperty	houseprivilegeproperty	PROPN
fbem-11077	39	3	:	:	PUNCT
fbem-11077	40	1	the	the	DET
fbem-11077	40	2	variable	variable	NOUN
fbem-11077	40	3	has	have	VERB
fbem-11077	40	4	only	only	ADV
fbem-11077	40	5	two	two	NUM
fbem-11077	40	6	values	value	NOUN
fbem-11077	40	7	,	,	PUNCT
fbem-11077	40	8	so	so	ADV
fbem-11077	40	9	dummy	dummy	ADJ
fbem-11077	40	10	variables	variable	NOUN
fbem-11077	40	11	are	be	AUX
fbem-11077	40	12	constructed	construct	VERB
fbem-11077	40	13	:	:	PUNCT
fbem-11077	40	14	non	non	ADJ
fbem-11077	40	15	-	-	ADJ
fbem-11077	40	16	common	common	ADJ
fbem-11077	40	17	=	=	SYM
fbem-11077	40	18	0	0	NUM
fbem-11077	40	19	,	,	PUNCT
fbem-11077	40	20	common	common	ADJ
fbem-11077	40	21	=	=	SYM
fbem-11077	40	22	1	1	X
fbem-11077	40	23	.	.	X
fbem-11077	40	24	housetype	housetype	NOUN
fbem-11077	40	25	:	:	PUNCT
fbem-11077	40	26	sums	sum	VERB
fbem-11077	40	27	the	the	DET
fbem-11077	40	28	number	number	NOUN
fbem-11077	40	29	of	of	ADP
fbem-11077	40	30	rooms	room	NOUN
fbem-11077	40	31	,	,	PUNCT
fbem-11077	40	32	kitchens	kitchen	NOUN
fbem-11077	40	33	and	and	CCONJ
fbem-11077	40	34	bathrooms	bathroom	NOUN
fbem-11077	40	35	of	of	ADP
fbem-11077	40	36	each	each	DET
fbem-11077	40	37	house	house	NOUN
fbem-11077	40	38	.	.	PUNCT
fbem-11077	41	1	housepledge	housepledge	NOUN
fbem-11077	41	2	:	:	PUNCT
fbem-11077	41	3	according	accord	VERB
fbem-11077	41	4	to	to	ADP
fbem-11077	41	5	the	the	DET
fbem-11077	41	6	security	security	NOUN
fbem-11077	41	7	of	of	ADP
fbem-11077	41	8	the	the	DET
fbem-11077	41	9	mortgage	mortgage	NOUN
fbem-11077	41	10	,	,	PUNCT
fbem-11077	41	11	there	there	PRON
fbem-11077	41	12	are	be	VERB
fbem-11077	41	13	four	four	NUM
fbem-11077	41	14	types	type	NOUN
fbem-11077	41	15	of	of	ADP
fbem-11077	41	16	mortgages	mortgage	NOUN
fbem-11077	41	17	:	:	PUNCT
fbem-11077	41	18	cpf	cpf	PROPN
fbem-11077	41	19	mortgage	mortgage	NOUN
fbem-11077	41	20	is	be	AUX
fbem-11077	41	21	the	the	DET
fbem-11077	41	22	safest	safe	ADJ
fbem-11077	41	23	,	,	PUNCT
fbem-11077	41	24	commercial	commercial	ADJ
fbem-11077	41	25	bank	bank	NOUN
fbem-11077	41	26	mortgage	mortgage	NOUN
fbem-11077	41	27	is	be	AUX
fbem-11077	41	28	the	the	DET
fbem-11077	41	29	second	second	ADJ
fbem-11077	41	30	,	,	PUNCT
fbem-11077	41	31	other	other	ADJ
fbem-11077	41	32	mortgages	mortgage	NOUN
fbem-11077	41	33	are	be	AUX
fbem-11077	41	34	higher	high	ADJ
fbem-11077	41	35	risk	risk	NOUN
fbem-11077	41	36	,	,	PUNCT
fbem-11077	41	37	and	and	CCONJ
fbem-11077	41	38	no	no	DET
fbem-11077	41	39	mortgage	mortgage	NOUN
fbem-11077	41	40	is	be	AUX
fbem-11077	41	41	the	the	DET
fbem-11077	41	42	highest	high	ADJ
fbem-11077	41	43	risk	risk	NOUN
fbem-11077	41	44	,	,	PUNCT
fbem-11077	41	45	so	so	CCONJ
fbem-11077	41	46	the	the	DET
fbem-11077	41	47	score	score	NOUN
fbem-11077	41	48	can	can	AUX
fbem-11077	41	49	be	be	AUX
fbem-11077	41	50	set	set	VERB
fbem-11077	41	51	as	as	SCONJ
fbem-11077	41	52	follows	follow	VERB
fbem-11077	41	53	:	:	PUNCT
fbem-11077	41	54	cpf	cpf	NOUN
fbem-11077	41	55	mortgage	mortgage	NOUN
fbem-11077	41	56	=	=	SYM
fbem-11077	41	57	3	3	NUM
fbem-11077	41	58	,	,	PUNCT
fbem-11077	41	59	commercial	commercial	ADJ
fbem-11077	41	60	bank	bank	NOUN
fbem-11077	41	61	mortgage	mortgage	NOUN
fbem-11077	41	62	(	(	PUNCT
fbem-11077	41	63	agricultural	agricultural	ADJ
fbem-11077	41	64	bank	bank	NOUN
fbem-11077	41	65	,	,	PUNCT
fbem-11077	41	66	finance	finance	NOUN
fbem-11077	41	67	company	company	NOUN
fbem-11077	41	68	,	,	PUNCT
fbem-11077	41	69	etc	etc	X
fbem-11077	41	70	.	.	X
fbem-11077	41	71	)	)	PUNCT
fbem-11077	42	1	=	=	SYM
fbem-11077	42	2	2	2	NUM
fbem-11077	42	3	,	,	PUNCT
fbem-11077	42	4	other	other	ADJ
fbem-11077	42	5	mortgages	mortgage	NOUN
fbem-11077	42	6	(	(	PUNCT
fbem-11077	42	7	owner	owner	NOUN
fbem-11077	42	8	repayment	repayment	NOUN
fbem-11077	42	9	,	,	PUNCT
fbem-11077	42	10	etc	etc	X
fbem-11077	42	11	.	.	X
fbem-11077	43	1	=	=	SYM
fbem-11077	43	2	1	1	NUM
fbem-11077	43	3	)	)	PUNCT
fbem-11077	43	4	,	,	PUNCT
fbem-11077	43	5	no	no	DET
fbem-11077	43	6	mortgage	mortgage	NOUN
fbem-11077	43	7	=	=	SYM
fbem-11077	43	8	0	0	X
fbem-11077	43	9	.	.	PUNCT
fbem-11077	43	10	add	add	VERB
fbem-11077	43	11	up	up	ADP
fbem-11077	43	12	.	.	PUNCT
fbem-11077	44	1	housefloor	housefloor	PROPN
fbem-11077	44	2	:	:	PUNCT
fbem-11077	44	3	the	the	DET
fbem-11077	44	4	median	median	PROPN
fbem-11077	44	5	11	11	NUM
fbem-11077	44	6	of	of	ADP
fbem-11077	44	7	the	the	DET
fbem-11077	44	8	middle	middle	ADJ
fbem-11077	44	9	floor	floor	NOUN
fbem-11077	44	10	is	be	AUX
fbem-11077	44	11	taken	take	VERB
fbem-11077	44	12	as	as	ADP
fbem-11077	44	13	the	the	DET
fbem-11077	44	14	benchmark	benchmark	NOUN
fbem-11077	44	15	,	,	PUNCT
fbem-11077	44	16	avoiding	avoid	VERB
fbem-11077	44	17	the	the	DET
fbem-11077	44	18	subjectivity	subjectivity	NOUN
fbem-11077	44	19	brought	bring	VERB
fbem-11077	44	20	by	by	ADP
fbem-11077	44	21	choosing	choose	VERB
fbem-11077	44	22	any	any	DET
fbem-11077	44	23	specific	specific	ADJ
fbem-11077	44	24	floor	floor	NOUN
fbem-11077	44	25	,	,	PUNCT
fbem-11077	44	26	and	and	CCONJ
fbem-11077	44	27	being	be	AUX
fbem-11077	44	28	more	more	ADV
fbem-11077	44	29	objective	objective	ADJ
fbem-11077	44	30	.	.	PUNCT
fbem-11077	45	1	the	the	DET
fbem-11077	45	2	benchmark	benchmark	ADJ
fbem-11077	45	3	score	score	NOUN
fbem-11077	45	4	is	be	AUX
fbem-11077	45	5	set	set	VERB
fbem-11077	45	6	according	accord	VERB
fbem-11077	45	7	to	to	ADP
fbem-11077	45	8	the	the	DET
fbem-11077	45	9	floor	floor	NOUN
fbem-11077	45	10	height	height	NOUN
fbem-11077	45	11	type	type	NOUN
fbem-11077	45	12	:	:	PUNCT
fbem-11077	45	13	high	high	ADJ
fbem-11077	45	14	floor	floor	NOUN
fbem-11077	45	15	=	=	SYM
fbem-11077	45	16	10	10	NUM
fbem-11077	45	17	,	,	PUNCT
fbem-11077	45	18	medium	medium	ADJ
fbem-11077	45	19	floor	floor	NOUN
fbem-11077	45	20	=	=	SYM
fbem-11077	45	21	8	8	NUM
fbem-11077	45	22	,	,	PUNCT
fbem-11077	45	23	low	low	ADJ
fbem-11077	45	24	floor	floor	NOUN
fbem-11077	45	25	=	=	NOUN
fbem-11077	45	26	6	6	X
fbem-11077	45	27	.	.	PUNCT
fbem-11077	46	1	within	within	ADP
fbem-11077	46	2	each	each	DET
fbem-11077	46	3	type	type	NOUN
fbem-11077	46	4	,	,	PUNCT
fbem-11077	46	5	additional	additional	ADJ
fbem-11077	46	6	points	point	NOUN
fbem-11077	46	7	are	be	AUX
fbem-11077	46	8	set	set	VERB
fbem-11077	46	9	according	accord	VERB
fbem-11077	46	10	to	to	ADP
fbem-11077	46	11	the	the	DET
fbem-11077	46	12	difference	difference	NOUN
fbem-11077	46	13	between	between	ADP
fbem-11077	46	14	the	the	DET
fbem-11077	46	15	specific	specific	ADJ
fbem-11077	46	16	floor	floor	NOUN
fbem-11077	46	17	and	and	CCONJ
fbem-11077	46	18	the	the	DET
fbem-11077	46	19	base	base	NOUN
fbem-11077	46	20	floor	floor	NOUN
fbem-11077	46	21	.	.	PUNCT
fbem-11077	47	1	taking	take	VERB
fbem-11077	47	2	the	the	DET
fbem-11077	47	3	middle	middle	ADJ
fbem-11077	47	4	floor	floor	NOUN
fbem-11077	47	5	as	as	ADP
fbem-11077	47	6	the	the	DET
fbem-11077	47	7	benchmark	benchmark	NOUN
fbem-11077	47	8	,	,	PUNCT
fbem-11077	47	9	each	each	DET
fbem-11077	47	10	benchmark	benchmark	ADJ
fbem-11077	47	11	floor	floor	NOUN
fbem-11077	47	12	above	above	ADP
fbem-11077	47	13	the	the	DET
fbem-11077	47	14	middle	middle	ADJ
fbem-11077	47	15	floor	floor	NOUN
fbem-11077	47	16	will	will	AUX
fbem-11077	47	17	add	add	VERB
fbem-11077	47	18	0.5	0.5	NUM
fbem-11077	47	19	points	point	NOUN
fbem-11077	47	20	,	,	PUNCT
fbem-11077	47	21	and	and	CCONJ
fbem-11077	47	22	each	each	DET
fbem-11077	47	23	floor	floor	NOUN
fbem-11077	47	24	below	below	ADP
fbem-11077	47	25	the	the	DET
fbem-11077	47	26	middle	middle	ADJ
fbem-11077	47	27	floor	floor	NOUN
fbem-11077	47	28	will	will	AUX
fbem-11077	47	29	subtract	subtract	VERB
fbem-11077	47	30	0.5	0.5	NUM
fbem-11077	47	31	points	point	NOUN
fbem-11077	47	32	.	.	PUNCT
fbem-11077	48	1	define	define	VERB
fbem-11077	48	2	variable	variable	ADJ
fbem-11077	48	3	reset	reset	NOUN
fbem-11077	48	4	cycle	cycle	NOUN
fbem-11077	48	5	:	:	PUNCT
fbem-11077	48	6	reset	reset	NOUN
fbem-11077	48	7	cycle	cycle	NOUN
fbem-11077	48	8	=	=	SYM
fbem-11077	48	9	houselistdate	houselistdate	NOUN
fbem-11077	48	10	houselasttrade	houselasttrade	ADJ
fbem-11077	48	11	.	.	PUNCT
fbem-11077	49	1	reset	reset	ADJ
fbem-11077	49	2	cycle	cycle	NOUN
fbem-11077	49	3	is	be	AUX
fbem-11077	49	4	the	the	DET
fbem-11077	49	5	time	time	NOUN
fbem-11077	49	6	difference	difference	NOUN
fbem-11077	49	7	between	between	ADP
fbem-11077	49	8	the	the	DET
fbem-11077	49	9	current	current	ADJ
fbem-11077	49	10	listing	listing	NOUN
fbem-11077	49	11	time	time	NOUN
fbem-11077	49	12	of	of	ADP
fbem-11077	49	13	the	the	DET
fbem-11077	49	14	house	house	NOUN
fbem-11077	49	15	and	and	CCONJ
fbem-11077	49	16	the	the	DET
fbem-11077	49	17	time	time	NOUN
fbem-11077	49	18	of	of	ADP
fbem-11077	49	19	the	the	DET
fbem-11077	49	20	last	last	ADJ
fbem-11077	49	21	trade	trade	NOUN
fbem-11077	49	22	.	.	PUNCT
fbem-11077	50	1	this	this	DET
fbem-11077	50	2	time	time	NOUN
fbem-11077	50	3	difference	difference	NOUN
fbem-11077	50	4	can	can	AUX
fbem-11077	50	5	reflect	reflect	VERB
fbem-11077	50	6	the	the	DET
fbem-11077	50	7	length	length	NOUN
fbem-11077	50	8	of	of	ADP
fbem-11077	50	9	time	time	NOUN
fbem-11077	50	10	the	the	DET
fbem-11077	50	11	house	house	NOUN
fbem-11077	50	12	has	have	AUX
fbem-11077	50	13	been	be	AUX
fbem-11077	50	14	on	on	ADP
fbem-11077	50	15	the	the	DET
fbem-11077	50	16	market	market	NOUN
fbem-11077	50	17	,	,	PUNCT
fbem-11077	50	18	and	and	CCONJ
fbem-11077	50	19	can	can	AUX
fbem-11077	50	20	also	also	ADV
fbem-11077	50	21	indirectly	indirectly	ADV
fbem-11077	50	22	reflect	reflect	VERB
fbem-11077	50	23	the	the	DET
fbem-11077	50	24	appreciation	appreciation	NOUN
fbem-11077	50	25	or	or	CCONJ
fbem-11077	50	26	depreciation	depreciation	NOUN
fbem-11077	50	27	in	in	ADP
fbem-11077	50	28	the	the	DET
fbem-11077	50	29	value	value	NOUN
fbem-11077	50	30	of	of	ADP
fbem-11077	50	31	the	the	DET
fbem-11077	50	32	house	house	NOUN
fbem-11077	50	33	.	.	PUNCT
fbem-11077	51	1	3	3	X
fbem-11077	51	2	.	.	X
fbem-11077	51	3	stepwise	stepwise	PROPN
fbem-11077	51	4	regression	regression	NOUN
fbem-11077	51	5	model	model	NOUN
fbem-11077	51	6	since	since	SCONJ
fbem-11077	51	7	the	the	DET
fbem-11077	51	8	magnitudes	magnitude	NOUN
fbem-11077	51	9	of	of	ADP
fbem-11077	51	10	the	the	DET
fbem-11077	51	11	individual	individual	ADJ
fbem-11077	51	12	factors	factor	NOUN
fbem-11077	51	13	differed	differ	VERB
fbem-11077	51	14	significantly	significantly	ADV
fbem-11077	51	15	,	,	PUNCT
fbem-11077	51	16	the	the	DET
fbem-11077	51	17	paper	paper	NOUN
fbem-11077	51	18	first	first	ADV
fbem-11077	51	19	standardized	standardize	VERB
fbem-11077	51	20	the	the	DET
fbem-11077	51	21	quantified	quantified	ADJ
fbem-11077	51	22	data	datum	NOUN
fbem-11077	51	23	.	.	PUNCT
fbem-11077	52	1	the	the	DET
fbem-11077	52	2	correlation	correlation	NOUN
fbem-11077	52	3	between	between	ADP
fbem-11077	52	4	the	the	DET
fbem-11077	52	5	factors	factor	NOUN
fbem-11077	52	6	was	be	AUX
fbem-11077	52	7	initially	initially	ADV
fbem-11077	52	8	explored	explore	VERB
fbem-11077	52	9	and	and	CCONJ
fbem-11077	52	10	the	the	DET
fbem-11077	52	11	person	person	NOUN
fbem-11077	52	12	coefficient	coefficient	NOUN
fbem-11077	52	13	matrix	matrix	NOUN
fbem-11077	52	14	was	be	AUX
fbem-11077	52	15	calculated	calculate	VERB
fbem-11077	52	16	,	,	PUNCT
fbem-11077	52	17	and	and	CCONJ
fbem-11077	52	18	the	the	DET
fbem-11077	52	19	results	result	NOUN
fbem-11077	52	20	are	be	AUX
fbem-11077	52	21	shown	show	VERB
fbem-11077	52	22	in	in	ADP
fbem-11077	52	23	figure	figure	NOUN
fbem-11077	52	24	1	1	NUM
fbem-11077	52	25	.	.	PUNCT
fbem-11077	52	26	figure	figure	NOUN
fbem-11077	52	27	1	1	NUM
fbem-11077	52	28	.	.	PUNCT
fbem-11077	52	29	heat	heat	NOUN
fbem-11077	52	30	map	map	NOUN
fbem-11077	52	31	of	of	ADP
fbem-11077	52	32	correlation	correlation	NOUN
fbem-11077	52	33	coefficient	coefficient	NOUN
fbem-11077	52	34	matrix	matrix	NOUN
fbem-11077	52	35	from	from	ADP
fbem-11077	52	36	the	the	DET
fbem-11077	52	37	figure	figure	NOUN
fbem-11077	52	38	:	:	PUNCT
fbem-11077	52	39	x	x	X
fbem-11077	52	40	,	,	PUNCT
fbem-11077	52	41	x	x	INTJ
fbem-11077	52	42	,	,	PUNCT
fbem-11077	52	43	x	x	INTJ
fbem-11077	52	44	,	,	PUNCT
fbem-11077	52	45	x	x	INTJ
fbem-11077	52	46	,	,	PUNCT
fbem-11077	52	47	x	x	INTJ
fbem-11077	52	48	,	,	PUNCT
fbem-11077	52	49	x	x	INTJ
fbem-11077	52	50	,	,	PUNCT
fbem-11077	52	51	x	x	X
fbem-11077	52	52	on	on	ADP
fbem-11077	52	53	y	y	PROPN
fbem-11077	52	54	are	be	AUX
fbem-11077	52	55	above	above	ADP
fbem-11077	52	56	0.4	0.4	NUM
fbem-11077	52	57	.	.	PUNCT
fbem-11077	53	1	to	to	PART
fbem-11077	53	2	further	far	ADV
fbem-11077	53	3	determine	determine	VERB
fbem-11077	53	4	more	more	ADV
fbem-11077	53	5	accurately	accurately	ADV
fbem-11077	53	6	the	the	DET
fbem-11077	53	7	influence	influence	NOUN
fbem-11077	53	8	of	of	ADP
fbem-11077	53	9	each	each	DET
fbem-11077	53	10	factor	factor	NOUN
fbem-11077	53	11	on	on	ADP
fbem-11077	53	12	house	house	NOUN
fbem-11077	53	13	prices	price	NOUN
fbem-11077	53	14	,	,	PUNCT
fbem-11077	53	15	a	a	DET
fbem-11077	53	16	stepwise	stepwise	ADJ
fbem-11077	53	17	regression	regression	NOUN
fbem-11077	53	18	model	model	NOUN
fbem-11077	53	19	was	be	AUX
fbem-11077	53	20	established	establish	VERB
fbem-11077	53	21	[	[	PUNCT
fbem-11077	53	22	2	2	NUM
fbem-11077	53	23	]	]	PUNCT
fbem-11077	53	24	.	.	PUNCT
fbem-11077	54	1	the	the	DET
fbem-11077	54	2	process	process	NOUN
fbem-11077	54	3	of	of	ADP
fbem-11077	54	4	selecting	select	VERB
fbem-11077	54	5	variables	variable	NOUN
fbem-11077	54	6	by	by	ADP
fbem-11077	54	7	stepwise	stepwise	ADJ
fbem-11077	54	8	regression	regression	NOUN
fbem-11077	54	9	method	method	NOUN
fbem-11077	54	10	consists	consist	VERB
fbem-11077	54	11	of	of	ADP
fbem-11077	54	12	three	three	NUM
fbem-11077	54	13	steps	step	NOUN
fbem-11077	54	14	:	:	PUNCT
fbem-11077	54	15	firstly	firstly	ADV
fbem-11077	54	16	,	,	PUNCT
fbem-11077	54	17	weeding	weed	VERB
fbem-11077	54	18	out	out	ADP
fbem-11077	54	19	the	the	DET
fbem-11077	54	20	tested	test	VERB
fbem-11077	54	21	insignificant	insignificant	ADJ
fbem-11077	54	22	variables	variable	NOUN
fbem-11077	54	23	from	from	ADP
fbem-11077	54	24	the	the	DET
fbem-11077	54	25	regression	regression	NOUN
fbem-11077	54	26	model	model	NOUN
fbem-11077	54	27	,	,	PUNCT
fbem-11077	54	28	secondly	secondly	ADV
fbem-11077	54	29	,	,	PUNCT
fbem-11077	54	30	introducing	introduce	VERB
fbem-11077	54	31	new	new	ADJ
fbem-11077	54	32	variables	variable	NOUN
fbem-11077	54	33	into	into	ADP
fbem-11077	54	34	the	the	DET
fbem-11077	54	35	regression	regression	NOUN
fbem-11077	54	36	model	model	NOUN
fbem-11077	54	37	,	,	PUNCT
fbem-11077	54	38	and	and	CCONJ
fbem-11077	54	39	thirdly	thirdly	ADV
fbem-11077	54	40	,	,	PUNCT
fbem-11077	54	41	repeating	repeat	VERB
fbem-11077	54	42	step	step	NOUN
fbem-11077	54	43	two	two	NUM
fbem-11077	54	44	over	over	ADP
fbem-11077	54	45	and	and	CCONJ
fbem-11077	54	46	over	over	ADV
fbem-11077	54	47	again	again	ADV
fbem-11077	54	48	until	until	SCONJ
fbem-11077	54	49	no	no	DET
fbem-11077	54	50	new	new	ADJ
fbem-11077	54	51	variables	variable	NOUN
fbem-11077	54	52	can	can	AUX
fbem-11077	54	53	be	be	AUX
fbem-11077	54	54	introduced	introduce	VERB
fbem-11077	54	55	.	.	PUNCT
fbem-11077	55	1	to	to	PART
fbem-11077	55	2	explore	explore	VERB
fbem-11077	55	3	the	the	DET
fbem-11077	55	4	effect	effect	NOUN
fbem-11077	55	5	on	on	ADP
fbem-11077	55	6	the	the	DET
fbem-11077	55	7	dependent	dependent	ADJ
fbem-11077	55	8	variable	variable	ADJ
fbem-11077	55	9	house	house	NOUN
fbem-11077	55	10	price	price	NOUN
fbem-11077	55	11	,	,	PUNCT
fbem-11077	55	12	for	for	ADP
fbem-11077	55	13	the	the	DET
fbem-11077	55	14	17	17	NUM
fbem-11077	55	15	independent	independent	ADJ
fbem-11077	55	16	variables	variable	NOUN
fbem-11077	55	17	of	of	ADP
fbem-11077	55	18	the	the	DET
fbem-11077	55	19	target	target	NOUN
fbem-11077	55	20	,	,	PUNCT
fbem-11077	55	21	given	give	VERB
fbem-11077	55	22	a	a	DET
fbem-11077	55	23	significance	significance	NOUN
fbem-11077	55	24	level	level	NOUN
fbem-11077	55	25	of	of	ADP
fbem-11077	55	26	𝛼	𝛼	NOUN
fbem-11077	55	27	=	=	NOUN
fbem-11077	55	28	0.1	0.1	NUM
fbem-11077	55	29	for	for	ADP
fbem-11077	55	30	the	the	DET
fbem-11077	55	31	introduced	introduce	VERB
fbem-11077	55	32	variables	variable	NOUN
fbem-11077	55	33	and	and	CCONJ
fbem-11077	55	34	𝛼	𝛼	DET
fbem-11077	55	35	=	=	NOUN
fbem-11077	55	36	0.15	0.15	NUM
fbem-11077	55	37	for	for	ADP
fbem-11077	55	38	the	the	DET
fbem-11077	55	39	excluded	exclude	VERB
fbem-11077	55	40	variables	variable	NOUN
fbem-11077	55	41	,	,	PUNCT
fbem-11077	55	42	step	step	NOUN
fbem-11077	55	43	two	two	NUM
fbem-11077	55	44	was	be	AUX
fbem-11077	55	45	repeated	repeat	VERB
fbem-11077	55	46	continuously	continuously	ADV
fbem-11077	55	47	and	and	CCONJ
fbem-11077	55	48	ten	ten	NUM
fbem-11077	55	49	independent	independent	ADJ
fbem-11077	55	50	variables	variable	NOUN
fbem-11077	55	51	were	be	AUX
fbem-11077	55	52	introduced	introduce	VERB
fbem-11077	55	53	to	to	PART
fbem-11077	55	54	obtain	obtain	VERB
fbem-11077	55	55	the	the	DET
fbem-11077	55	56	stepwise	stepwise	PROPN
fbem-11077	55	57	regression	regression	NOUN
fbem-11077	55	58	model	model	NOUN
fbem-11077	55	59	.	.	PUNCT
fbem-11077	56	1	𝑦	𝑦	PRON
fbem-11077	56	2	0.7937𝑥	0.7937𝑥	VERB
fbem-11077	56	3	0.0459𝑥	0.0459𝑥	NUM
fbem-11077	56	4	0.0649𝑥	0.0649𝑥	NOUN
fbem-11077	56	5	0.0288𝑥	0.0288𝑥	ADJ
fbem-11077	57	1	0.528𝑥	0.528𝑥	NOUN
fbem-11077	57	2	0.0477𝑥	0.0477𝑥	ADJ
fbem-11077	57	3	0.0357𝑥	0.0357𝑥	NUM
fbem-11077	57	4	0.0522𝑥	0.0522𝑥	ADJ
fbem-11077	57	5	0.0694𝑥	0.0694𝑥	NUM
fbem-11077	58	1	0.0193𝑥	0.0193𝑥	NUM
fbem-11077	58	2	(	(	PUNCT
fbem-11077	58	3	1	1	NUM
fbem-11077	58	4	)	)	PUNCT
fbem-11077	58	5	where	where	SCONJ
fbem-11077	58	6	the	the	DET
fbem-11077	58	7	adjusted	adjusted	ADJ
fbem-11077	58	8	𝑅	𝑅	PROPN
fbem-11077	58	9	=	=	PROPN
fbem-11077	58	10	0.883	0.883	NUM
fbem-11077	58	11	and	and	CCONJ
fbem-11077	58	12	the	the	DET
fbem-11077	58	13	p	p	NOUN
fbem-11077	58	14	-	-	PUNCT
fbem-11077	58	15	values	value	NOUN
fbem-11077	58	16	of	of	ADP
fbem-11077	58	17	the	the	DET
fbem-11077	58	18	ttest	ttest	NOUN
fbem-11077	58	19	for	for	ADP
fbem-11077	58	20	each	each	DET
fbem-11077	58	21	variable	variable	NOUN
fbem-11077	58	22	are	be	AUX
fbem-11077	58	23	shown	show	VERB
fbem-11077	58	24	in	in	ADP
fbem-11077	58	25	table	table	NOUN
fbem-11077	58	26	2	2	NUM
fbem-11077	58	27	.	.	PUNCT
fbem-11077	58	28	379	379	NUM
fbem-11077	58	29	table	table	NOUN
fbem-11077	58	30	2	2	NUM
fbem-11077	58	31	.	.	X
fbem-11077	58	32	t	t	NOUN
fbem-11077	58	33	-	-	PUNCT
fbem-11077	58	34	test	test	NOUN
fbem-11077	58	35	p	p	ADJ
fbem-11077	58	36	-	-	PUNCT
fbem-11077	58	37	value	value	NOUN
fbem-11077	58	38	table	table	NOUN
fbem-11077	58	39	variables	variable	VERB
fbem-11077	58	40	p	p	NOUN
fbem-11077	58	41	-	-	PUNCT
fbem-11077	58	42	value	value	NOUN
fbem-11077	58	43	𝑥	𝑥	NOUN
fbem-11077	58	44	0	0	NUM
fbem-11077	58	45	𝑥	𝑥	NOUN
fbem-11077	58	46	0	0	NUM
fbem-11077	59	1	𝑥	𝑥	NOUN
fbem-11077	59	2	0	0	NUM
fbem-11077	59	3	𝑥	𝑥	PROPN
fbem-11077	59	4	0.0026	0.0026	NUM
fbem-11077	59	5	𝑥	𝑥	NOUN
fbem-11077	59	6	0	0	NUM
fbem-11077	59	7	𝑥	𝑥	NOUN
fbem-11077	59	8	0	0	NUM
fbem-11077	60	1	𝑥	𝑥	NOUN
fbem-11077	60	2	0	0	NUM
fbem-11077	60	3	𝑥	𝑥	NOUN
fbem-11077	60	4	0	0	NUM
fbem-11077	61	1	𝑥	𝑥	NOUN
fbem-11077	61	2	0	0	NUM
fbem-11077	61	3	𝑥	𝑥	NOUN
fbem-11077	61	4	0.013	0.013	NUM
fbem-11077	61	5	from	from	ADP
fbem-11077	61	6	table	table	NOUN
fbem-11077	61	7	2	2	NUM
fbem-11077	61	8	:	:	PUNCT
fbem-11077	61	9	p<0.05	p<0.05	NOUN
fbem-11077	61	10	for	for	ADP
fbem-11077	61	11	each	each	PRON
fbem-11077	61	12	of	of	ADP
fbem-11077	61	13	the	the	DET
fbem-11077	61	14	above	above	ADJ
fbem-11077	61	15	variables	variable	NOUN
fbem-11077	61	16	,	,	PUNCT
fbem-11077	61	17	so	so	SCONJ
fbem-11077	61	18	the	the	DET
fbem-11077	61	19	effect	effect	NOUN
fbem-11077	61	20	of	of	ADP
fbem-11077	61	21	the	the	DET
fbem-11077	61	22	variables	variable	NOUN
fbem-11077	61	23	is	be	AUX
fbem-11077	61	24	considered	consider	VERB
fbem-11077	61	25	significant.in	significant.in	X
fbem-11077	61	26	summary	summary	VERB
fbem-11077	61	27	:	:	PUNCT
fbem-11077	61	28	the	the	DET
fbem-11077	61	29	effects	effect	NOUN
fbem-11077	61	30	of	of	ADP
fbem-11077	61	31	𝑥	𝑥	PRON
fbem-11077	61	32	,	,	PUNCT
fbem-11077	61	33	𝑥	𝑥	PROPN
fbem-11077	61	34	,	,	PUNCT
fbem-11077	61	35	𝑥	𝑥	PROPN
fbem-11077	61	36	,	,	PUNCT
fbem-11077	61	37	𝑥	𝑥	PROPN
fbem-11077	61	38	,	,	PUNCT
fbem-11077	61	39	𝑥	𝑥	PROPN
fbem-11077	61	40	,	,	PUNCT
fbem-11077	61	41	𝑥	𝑥	PROPN
fbem-11077	61	42	,	,	PUNCT
fbem-11077	61	43	𝑥	𝑥	PROPN
fbem-11077	61	44	,	,	PUNCT
fbem-11077	61	45	𝑥	𝑥	PROPN
fbem-11077	61	46	,	,	PUNCT
fbem-11077	61	47	𝑥	𝑥	PROPN
fbem-11077	61	48	,	,	PUNCT
fbem-11077	61	49	𝑥	𝑥	PROPN
fbem-11077	61	50	on	on	ADP
fbem-11077	61	51	house	house	NOUN
fbem-11077	61	52	prices	price	NOUN
fbem-11077	61	53	are	be	AUX
fbem-11077	61	54	considered	consider	VERB
fbem-11077	61	55	significant	significant	ADJ
fbem-11077	61	56	and	and	CCONJ
fbem-11077	61	57	correlated	correlate	VERB
fbem-11077	61	58	,	,	PUNCT
fbem-11077	61	59	while	while	SCONJ
fbem-11077	61	60	the	the	DET
fbem-11077	61	61	remaining	remain	VERB
fbem-11077	61	62	variables	variable	NOUN
fbem-11077	61	63	have	have	VERB
fbem-11077	61	64	insignificant	insignificant	ADJ
fbem-11077	61	65	effects	effect	NOUN
fbem-11077	61	66	on	on	ADP
fbem-11077	61	67	house	house	NOUN
fbem-11077	61	68	prices	price	NOUN
fbem-11077	61	69	and	and	CCONJ
fbem-11077	61	70	are	be	AUX
fbem-11077	61	71	not	not	PART
fbem-11077	61	72	strongly	strongly	ADV
fbem-11077	61	73	correlated	correlate	VERB
fbem-11077	61	74	.	.	PUNCT
fbem-11077	62	1	4	4	X
fbem-11077	62	2	.	.	X
fbem-11077	62	3	k	k	X
fbem-11077	62	4	-	-	PUNCT
fbem-11077	62	5	means	mean	VERB
fbem-11077	62	6	clustering	clustering	ADJ
fbem-11077	62	7	model	model	NOUN
fbem-11077	62	8	4.1	4.1	NUM
fbem-11077	62	9	.	.	PUNCT
fbem-11077	63	1	data	datum	NOUN
fbem-11077	63	2	selection	selection	NOUN
fbem-11077	63	3	above	above	ADV
fbem-11077	63	4	,	,	PUNCT
fbem-11077	63	5	by	by	ADP
fbem-11077	63	6	stepwise	stepwise	ADJ
fbem-11077	63	7	regression	regression	NOUN
fbem-11077	63	8	,	,	PUNCT
fbem-11077	63	9	it	it	PRON
fbem-11077	63	10	was	be	AUX
fbem-11077	63	11	determined	determine	VERB
fbem-11077	63	12	that	that	SCONJ
fbem-11077	63	13	with	with	ADP
fbem-11077	63	14	'	'	PUNCT
fbem-11077	63	15	housetotalmoney	housetotalmoney	NOUN
fbem-11077	63	16	'	'	PUNCT
fbem-11077	63	17	,	,	PUNCT
fbem-11077	63	18	'	'	PUNCT
fbem-11077	63	19	housesingleprice	housesingleprice	NOUN
fbem-11077	63	20	'	'	PUNCT
fbem-11077	63	21	,	,	PUNCT
fbem-11077	63	22	'	'	PUNCT
fbem-11077	63	23	housebuildingarea	housebuildingarea	NOUN
fbem-11077	63	24	'	'	PUNCT
fbem-11077	63	25	,	,	PUNCT
fbem-11077	63	26	'	'	PUNCT
fbem-11077	63	27	houseusage	houseusage	NOUN
fbem-11077	63	28	'	'	PUNCT
fbem-11077	63	29	,	,	PUNCT
fbem-11077	63	30	'	'	PUNCT
fbem-11077	63	31	housestructure	housestructure	NOUN
fbem-11077	63	32	'	'	PUNCT
fbem-11077	63	33	,	,	PUNCT
fbem-11077	63	34	'	'	PUNCT
fbem-11077	63	35	houselocation	houselocation	NOUN
fbem-11077	63	36	'	'	PUNCT
fbem-11077	63	37	,	,	PUNCT
fbem-11077	63	38	'	'	PUNCT
fbem-11077	63	39	houseelevatorratio	houseelevatorratio	NOUN
fbem-11077	63	40	'	'	PUNCT
fbem-11077	63	41	,	,	PUNCT
fbem-11077	63	42	'	'	PUNCT
fbem-11077	63	43	housetype	housetype	NOUN
fbem-11077	63	44	'	'	PUNCT
fbem-11077	63	45	,	,	PUNCT
fbem-11077	63	46	'	'	PUNCT
fbem-11077	63	47	houseelevator	houseelevator	NOUN
fbem-11077	63	48	'	'	PUNCT
fbem-11077	63	49	,	,	PUNCT
fbem-11077	63	50	'	'	PUNCT
fbem-11077	63	51	housefloor	housefloor	NOUN
fbem-11077	63	52	'	'	PUNCT
fbem-11077	63	53	,	,	PUNCT
fbem-11077	63	54	'	'	PUNCT
fbem-11077	63	55	houseagelimit	houseagelimit	NOUN
fbem-11077	63	56	'	'	PUNCT
fbem-11077	63	57	and	and	CCONJ
fbem-11077	63	58	other	other	ADJ
fbem-11077	63	59	11	11	NUM
fbem-11077	63	60	reserved	reserved	ADJ
fbem-11077	63	61	variables	variable	NOUN
fbem-11077	63	62	are	be	AUX
fbem-11077	63	63	used	use	VERB
fbem-11077	63	64	as	as	ADP
fbem-11077	63	65	data	data	NOUN
fbem-11077	63	66	sets	set	NOUN
fbem-11077	63	67	to	to	PART
fbem-11077	63	68	classify	classify	VERB
fbem-11077	63	69	this	this	DET
fbem-11077	63	70	high	high	ADJ
fbem-11077	63	71	-	-	PUNCT
fbem-11077	63	72	dimensional	dimensional	ADJ
fbem-11077	63	73	data	datum	NOUN
fbem-11077	63	74	using	use	VERB
fbem-11077	63	75	k	k	PROPN
fbem-11077	63	76	-	-	PUNCT
fbem-11077	63	77	means	mean	VERB
fbem-11077	63	78	clustering	clustering	NOUN
fbem-11077	63	79	model	model	NOUN
fbem-11077	63	80	.	.	PUNCT
fbem-11077	64	1	4.2	4.2	NUM
fbem-11077	64	2	.	.	PUNCT
fbem-11077	64	3	model	model	NOUN
fbem-11077	64	4	principle	principle	NOUN
fbem-11077	64	5	firstly	firstly	ADV
fbem-11077	64	6	,	,	PUNCT
fbem-11077	64	7	the	the	DET
fbem-11077	64	8	elbow	elbow	NOUN
fbem-11077	64	9	rule	rule	NOUN
fbem-11077	64	10	is	be	AUX
fbem-11077	64	11	used	use	VERB
fbem-11077	64	12	to	to	PART
fbem-11077	64	13	determine	determine	VERB
fbem-11077	64	14	the	the	DET
fbem-11077	64	15	optimal	optimal	ADJ
fbem-11077	64	16	number	number	NOUN
fbem-11077	64	17	of	of	ADP
fbem-11077	64	18	clusters	cluster	NOUN
fbem-11077	64	19	k	k	PROPN
fbem-11077	64	20	for	for	SCONJ
fbem-11077	64	21	k	k	NOUN
fbem-11077	64	22	-	-	PUNCT
fbem-11077	64	23	means	means	NOUN
fbem-11077	64	24	clustering	cluster	VERB
fbem-11077	64	25	[	[	X
fbem-11077	64	26	3	3	NUM
fbem-11077	64	27	]	]	PUNCT
fbem-11077	64	28	.	.	PUNCT
fbem-11077	65	1	the	the	DET
fbem-11077	65	2	core	core	ADJ
fbem-11077	65	3	idea	idea	NOUN
fbem-11077	65	4	of	of	ADP
fbem-11077	65	5	the	the	DET
fbem-11077	65	6	elbow	elbow	NOUN
fbem-11077	65	7	rule	rule	NOUN
fbem-11077	65	8	is	be	AUX
fbem-11077	65	9	that	that	SCONJ
fbem-11077	65	10	as	as	ADP
fbem-11077	65	11	the	the	DET
fbem-11077	65	12	number	number	NOUN
fbem-11077	65	13	of	of	ADP
fbem-11077	65	14	clusters	cluster	NOUN
fbem-11077	65	15	k	k	PROPN
fbem-11077	65	16	increases	increase	NOUN
fbem-11077	65	17	,	,	PUNCT
fbem-11077	65	18	the	the	DET
fbem-11077	65	19	sample	sample	NOUN
fbem-11077	65	20	division	division	NOUN
fbem-11077	65	21	will	will	AUX
fbem-11077	65	22	be	be	AUX
fbem-11077	65	23	finer	fine	ADJ
fbem-11077	65	24	,	,	PUNCT
fbem-11077	65	25	the	the	DET
fbem-11077	65	26	degree	degree	NOUN
fbem-11077	65	27	of	of	ADP
fbem-11077	65	28	aggregation	aggregation	NOUN
fbem-11077	65	29	of	of	ADP
fbem-11077	65	30	each	each	DET
fbem-11077	65	31	cluster	cluster	NOUN
fbem-11077	65	32	will	will	AUX
fbem-11077	65	33	gradually	gradually	ADV
fbem-11077	65	34	increase	increase	VERB
fbem-11077	65	35	,	,	PUNCT
fbem-11077	65	36	and	and	CCONJ
fbem-11077	65	37	then	then	ADV
fbem-11077	65	38	the	the	DET
fbem-11077	65	39	error	error	NOUN
fbem-11077	65	40	squared	square	VERB
fbem-11077	65	41	and	and	CCONJ
fbem-11077	65	42	sse	sse	NOUN
fbem-11077	65	43	will	will	AUX
fbem-11077	65	44	naturally	naturally	ADV
fbem-11077	65	45	become	become	VERB
fbem-11077	65	46	smaller	small	ADJ
fbem-11077	65	47	gradually	gradually	ADV
fbem-11077	65	48	.	.	PUNCT
fbem-11077	66	1	and	and	CCONJ
fbem-11077	66	2	,	,	PUNCT
fbem-11077	66	3	when	when	SCONJ
fbem-11077	66	4	k	k	PROPN
fbem-11077	66	5	is	be	AUX
fbem-11077	66	6	less	less	ADJ
fbem-11077	66	7	than	than	ADP
fbem-11077	66	8	the	the	DET
fbem-11077	66	9	true	true	ADJ
fbem-11077	66	10	number	number	NOUN
fbem-11077	66	11	of	of	ADP
fbem-11077	66	12	clusters	cluster	NOUN
fbem-11077	66	13	,	,	PUNCT
fbem-11077	66	14	the	the	DET
fbem-11077	66	15	decrease	decrease	NOUN
fbem-11077	66	16	of	of	ADP
fbem-11077	66	17	sse	sse	NOUN
fbem-11077	66	18	will	will	AUX
fbem-11077	66	19	be	be	AUX
fbem-11077	66	20	large	large	ADJ
fbem-11077	66	21	because	because	SCONJ
fbem-11077	66	22	the	the	DET
fbem-11077	66	23	increase	increase	NOUN
fbem-11077	66	24	of	of	ADP
fbem-11077	66	25	k	k	PROPN
fbem-11077	66	26	will	will	AUX
fbem-11077	66	27	significantly	significantly	ADV
fbem-11077	66	28	increase	increase	VERB
fbem-11077	66	29	the	the	DET
fbem-11077	66	30	degree	degree	NOUN
fbem-11077	66	31	of	of	ADP
fbem-11077	66	32	aggregation	aggregation	NOUN
fbem-11077	66	33	of	of	ADP
fbem-11077	66	34	each	each	DET
fbem-11077	66	35	cluster	cluster	NOUN
fbem-11077	66	36	,	,	PUNCT
fbem-11077	66	37	and	and	CCONJ
fbem-11077	66	38	when	when	SCONJ
fbem-11077	66	39	k	k	PROPN
fbem-11077	66	40	reaches	reach	VERB
fbem-11077	66	41	the	the	DET
fbem-11077	66	42	true	true	ADJ
fbem-11077	66	43	number	number	NOUN
fbem-11077	66	44	of	of	ADP
fbem-11077	66	45	clusters	cluster	NOUN
fbem-11077	66	46	,	,	PUNCT
fbem-11077	66	47	the	the	DET
fbem-11077	66	48	return	return	NOUN
fbem-11077	66	49	of	of	ADP
fbem-11077	66	50	the	the	DET
fbem-11077	66	51	degree	degree	NOUN
fbem-11077	66	52	of	of	ADP
fbem-11077	66	53	aggregation	aggregation	NOUN
fbem-11077	66	54	obtained	obtain	VERB
fbem-11077	66	55	by	by	ADP
fbem-11077	66	56	increasing	increase	VERB
fbem-11077	66	57	k	k	PROPN
fbem-11077	66	58	again	again	ADV
fbem-11077	66	59	will	will	AUX
fbem-11077	66	60	rapidly	rapidly	ADV
fbem-11077	66	61	become	become	VERB
fbem-11077	66	62	smaller	small	ADJ
fbem-11077	66	63	,	,	PUNCT
fbem-11077	66	64	so	so	CCONJ
fbem-11077	66	65	the	the	DET
fbem-11077	66	66	decrease	decrease	NOUN
fbem-11077	66	67	of	of	ADP
fbem-11077	66	68	sse	sse	NOUN
fbem-11077	66	69	will	will	AUX
fbem-11077	66	70	plummet	plummet	VERB
fbem-11077	66	71	and	and	CCONJ
fbem-11077	66	72	then	then	ADV
fbem-11077	66	73	level	level	VERB
fbem-11077	66	74	off	off	ADP
fbem-11077	66	75	as	as	SCONJ
fbem-11077	66	76	the	the	DET
fbem-11077	66	77	value	value	NOUN
fbem-11077	66	78	of	of	ADP
fbem-11077	66	79	k	k	PROPN
fbem-11077	66	80	continues	continue	VERB
fbem-11077	66	81	to	to	PART
fbem-11077	66	82	increase	increase	VERB
fbem-11077	66	83	,	,	PUNCT
fbem-11077	66	84	which	which	PRON
fbem-11077	66	85	means	mean	VERB
fbem-11077	66	86	that	that	SCONJ
fbem-11077	66	87	the	the	DET
fbem-11077	66	88	graph	graph	NOUN
fbem-11077	66	89	of	of	ADP
fbem-11077	66	90	the	the	DET
fbem-11077	66	91	relationship	relationship	NOUN
fbem-11077	66	92	between	between	ADP
fbem-11077	66	93	sse	sse	PROPN
fbem-11077	66	94	and	and	CCONJ
fbem-11077	66	95	k	k	PROPN
fbem-11077	66	96	is	be	AUX
fbem-11077	66	97	an	an	DET
fbem-11077	66	98	elbow	elbow	NOUN
fbem-11077	66	99	of	of	ADP
fbem-11077	66	100	shape	shape	NOUN
fbem-11077	66	101	,	,	PUNCT
fbem-11077	66	102	and	and	CCONJ
fbem-11077	66	103	the	the	DET
fbem-11077	66	104	value	value	NOUN
fbem-11077	66	105	of	of	ADP
fbem-11077	66	106	k	k	PROPN
fbem-11077	66	107	corresponding	correspond	VERB
fbem-11077	66	108	to	to	ADP
fbem-11077	66	109	this	this	DET
fbem-11077	66	110	elbow	elbow	NOUN
fbem-11077	66	111	is	be	AUX
fbem-11077	66	112	the	the	DET
fbem-11077	66	113	true	true	ADJ
fbem-11077	66	114	number	number	NOUN
fbem-11077	66	115	of	of	ADP
fbem-11077	66	116	clusters	cluster	NOUN
fbem-11077	66	117	of	of	ADP
fbem-11077	66	118	the	the	DET
fbem-11077	66	119	data	datum	NOUN
fbem-11077	66	120	.	.	PUNCT
fbem-11077	67	1	4.3	4.3	NUM
fbem-11077	67	2	.	.	PUNCT
fbem-11077	67	3	specific	specific	ADJ
fbem-11077	67	4	modeling	modeling	NOUN
fbem-11077	67	5	(	(	PUNCT
fbem-11077	67	6	1	1	NUM
fbem-11077	67	7	)	)	PUNCT
fbem-11077	67	8	k	k	NOUN
fbem-11077	67	9	-	-	PUNCT
fbem-11077	67	10	means	means	NOUN
fbem-11077	67	11	clustering	clustering	NOUN
fbem-11077	67	12	is	be	AUX
fbem-11077	67	13	performed	perform	VERB
fbem-11077	67	14	for	for	ADP
fbem-11077	67	15	a	a	DET
fbem-11077	67	16	certain	certain	ADJ
fbem-11077	67	17	range	range	NOUN
fbem-11077	67	18	of	of	ADP
fbem-11077	67	19	k	k	PROPN
fbem-11077	67	20	values	value	NOUN
fbem-11077	67	21	.	.	PUNCT
fbem-11077	68	1	(	(	PUNCT
fbem-11077	68	2	2	2	X
fbem-11077	68	3	)	)	PUNCT
fbem-11077	68	4	calculate	calculate	NOUN
fbem-11077	68	5	the	the	DET
fbem-11077	68	6	clustering	clustering	ADJ
fbem-11077	68	7	evaluation	evaluation	NOUN
fbem-11077	68	8	index	index	NOUN
fbem-11077	68	9	sse	sse	NOUN
fbem-11077	68	10	(	(	PUNCT
fbem-11077	68	11	sum	sum	NOUN
fbem-11077	68	12	of	of	ADP
fbem-11077	68	13	squared	square	VERB
fbem-11077	68	14	errors	error	NOUN
fbem-11077	68	15	)	)	PUNCT
fbem-11077	68	16	corresponding	correspond	VERB
fbem-11077	68	17	to	to	ADP
fbem-11077	68	18	each	each	DET
fbem-11077	68	19	k	k	NOUN
fbem-11077	68	20	-	-	NOUN
fbem-11077	68	21	value	value	NOUN
fbem-11077	68	22	,	,	PUNCT
fbem-11077	68	23	where	where	SCONJ
fbem-11077	68	24	：	：	PUNCT
fbem-11077	68	25	𝑆𝑆𝐸	𝑆𝑆𝐸	PROPN
fbem-11077	68	26	∑	∑	PUNCT
fbem-11077	68	27	∑	∑	PROPN
fbem-11077	68	28	|𝑝	|𝑝	NOUN
fbem-11077	68	29	𝑚	𝑚	X
fbem-11077	68	30	|∈	|∈	X
fbem-11077	68	31	(	(	PUNCT
fbem-11077	68	32	2	2	NUM
fbem-11077	68	33	)	)	PUNCT
fbem-11077	68	34	𝐶	𝐶	PROPN
fbem-11077	68	35	is	be	AUX
fbem-11077	68	36	the	the	DET
fbem-11077	68	37	i	i	PROPN
fbem-11077	68	38	-	-	PUNCT
fbem-11077	68	39	th	th	VERB
fbem-11077	68	40	cluster	cluster	NOUN
fbem-11077	68	41	,	,	PUNCT
fbem-11077	68	42	p	p	PROPN
fbem-11077	68	43	is	be	AUX
fbem-11077	68	44	the	the	DET
fbem-11077	68	45	sample	sample	NOUN
fbem-11077	68	46	points	point	NOUN
fbem-11077	68	47	in	in	ADP
fbem-11077	68	48	𝐶	𝐶	PROPN
fbem-11077	68	49	,	,	PUNCT
fbem-11077	68	50	𝑚_𝑖	𝑚_𝑖	PROPN
fbem-11077	68	51	is	be	AUX
fbem-11077	68	52	the	the	DET
fbem-11077	68	53	center	center	NOUN
fbem-11077	68	54	of	of	ADP
fbem-11077	68	55	mass	mass	NOUN
fbem-11077	68	56	of	of	ADP
fbem-11077	68	57	𝐶	𝐶	PROPN
fbem-11077	68	58	(	(	PUNCT
fbem-11077	68	59	the	the	DET
fbem-11077	68	60	mean	mean	NOUN
fbem-11077	68	61	of	of	ADP
fbem-11077	68	62	all	all	DET
fbem-11077	68	63	samples	sample	NOUN
fbem-11077	68	64	in	in	ADP
fbem-11077	68	65	𝐶	𝐶	PROPN
fbem-11077	68	66	)	)	PUNCT
fbem-11077	68	67	,	,	PUNCT
fbem-11077	68	68	and	and	CCONJ
fbem-11077	68	69	sse	sse	NOUN
fbem-11077	68	70	is	be	AUX
fbem-11077	68	71	the	the	DET
fbem-11077	68	72	clustering	clustering	ADJ
fbem-11077	68	73	error	error	NOUN
fbem-11077	68	74	of	of	ADP
fbem-11077	68	75	all	all	DET
fbem-11077	68	76	samples	sample	NOUN
fbem-11077	68	77	,	,	PUNCT
fbem-11077	68	78	which	which	PRON
fbem-11077	68	79	represents	represent	VERB
fbem-11077	68	80	the	the	DET
fbem-11077	68	81	clustering	cluster	VERB
fbem-11077	68	82	effectiveness	effectiveness	NOUN
fbem-11077	68	83	.	.	PUNCT
fbem-11077	69	1	(	(	PUNCT
fbem-11077	69	2	3	3	X
fbem-11077	69	3	)	)	PUNCT
fbem-11077	69	4	draw	draw	VERB
fbem-11077	69	5	the	the	DET
fbem-11077	69	6	curve	curve	NOUN
fbem-11077	69	7	of	of	ADP
fbem-11077	69	8	k	k	ADJ
fbem-11077	69	9	-	-	NOUN
fbem-11077	69	10	value	value	NOUN
fbem-11077	69	11	versus	versus	ADP
fbem-11077	69	12	evaluation	evaluation	NOUN
fbem-11077	69	13	index	index	NOUN
fbem-11077	69	14	.	.	PUNCT
fbem-11077	70	1	(	(	PUNCT
fbem-11077	70	2	4	4	X
fbem-11077	70	3	)	)	PUNCT
fbem-11077	70	4	find	find	VERB
fbem-11077	70	5	an	an	DET
fbem-11077	70	6	obvious	obvious	ADJ
fbem-11077	70	7	'	'	PUNCT
fbem-11077	70	8	elbow	elbow	NOUN
fbem-11077	70	9	'	'	PUNCT
fbem-11077	70	10	in	in	ADP
fbem-11077	70	11	the	the	DET
fbem-11077	70	12	curve	curve	NOUN
fbem-11077	70	13	,	,	PUNCT
fbem-11077	70	14	where	where	SCONJ
fbem-11077	70	15	the	the	DET
fbem-11077	70	16	k	k	NOUN
fbem-11077	70	17	-	-	PUNCT
fbem-11077	70	18	value	value	NOUN
fbem-11077	70	19	is	be	AUX
fbem-11077	70	20	usually	usually	ADV
fbem-11077	70	21	the	the	DET
fbem-11077	70	22	better	well	ADJ
fbem-11077	70	23	clustering	clustering	ADJ
fbem-11077	70	24	number	number	NOUN
fbem-11077	70	25	.	.	PUNCT
fbem-11077	71	1	figure	figure	NOUN
fbem-11077	71	2	2	2	NUM
fbem-11077	71	3	.	.	PUNCT
fbem-11077	71	4	cluster	cluster	NOUN
fbem-11077	71	5	deviation	deviation	NOUN
fbem-11077	71	6	diagram	diagram	NOUN
fbem-11077	71	7	with	with	ADP
fbem-11077	71	8	different	different	ADJ
fbem-11077	71	9	k	k	PROPN
fbem-11077	71	10	values	value	NOUN
fbem-11077	71	11	as	as	ADP
fbem-11077	71	12	in	in	ADP
fbem-11077	71	13	figure	figure	NOUN
fbem-11077	71	14	2	2	NUM
fbem-11077	71	15	,	,	PUNCT
fbem-11077	71	16	when	when	SCONJ
fbem-11077	71	17	k=2	k=2	PROPN
fbem-11077	71	18	,	,	PUNCT
fbem-11077	71	19	the	the	DET
fbem-11077	71	20	sse	sse	NOUN
fbem-11077	71	21	is	be	AUX
fbem-11077	71	22	large	large	ADJ
fbem-11077	71	23	and	and	CCONJ
fbem-11077	71	24	a	a	DET
fbem-11077	71	25	cluster	cluster	NOUN
fbem-11077	71	26	contains	contain	VERB
fbem-11077	71	27	a	a	DET
fbem-11077	71	28	large	large	ADJ
fbem-11077	71	29	number	number	NOUN
fbem-11077	71	30	of	of	ADP
fbem-11077	71	31	dissimilar	dissimilar	ADJ
fbem-11077	71	32	samples	sample	NOUN
fbem-11077	71	33	;	;	PUNCT
fbem-11077	71	34	as	as	SCONJ
fbem-11077	71	35	k	k	PROPN
fbem-11077	71	36	increases	increase	NOUN
fbem-11077	71	37	,	,	PUNCT
fbem-11077	71	38	the	the	DET
fbem-11077	71	39	sse	sse	NOUN
fbem-11077	71	40	decreases	decrease	VERB
fbem-11077	71	41	rapidly	rapidly	ADV
fbem-11077	71	42	and	and	CCONJ
fbem-11077	71	43	the	the	DET
fbem-11077	71	44	samples	sample	NOUN
fbem-11077	71	45	are	be	AUX
fbem-11077	71	46	gradually	gradually	ADV
fbem-11077	71	47	divided	divide	VERB
fbem-11077	71	48	into	into	ADP
fbem-11077	71	49	more	more	ADV
fbem-11077	71	50	suitable	suitable	ADJ
fbem-11077	71	51	clusters	cluster	NOUN
fbem-11077	71	52	;	;	PUNCT
fbem-11077	71	53	when	when	SCONJ
fbem-11077	71	54	k=4	k=4	PROPN
fbem-11077	71	55	,	,	PUNCT
fbem-11077	71	56	5	5	NUM
fbem-11077	71	57	,	,	PUNCT
fbem-11077	71	58	6	6	NUM
fbem-11077	71	59	,	,	PUNCT
fbem-11077	71	60	7	7	NUM
fbem-11077	71	61	,	,	PUNCT
fbem-11077	71	62	the	the	DET
fbem-11077	71	63	decline	decline	NOUN
fbem-11077	71	64	of	of	ADP
fbem-11077	71	65	sse	sse	PROPN
fbem-11077	71	66	slows	slow	VERB
fbem-11077	71	67	down	down	ADP
fbem-11077	71	68	,	,	PUNCT
fbem-11077	71	69	and	and	CCONJ
fbem-11077	71	70	adding	add	VERB
fbem-11077	71	71	a	a	DET
fbem-11077	71	72	cluster	cluster	NOUN
fbem-11077	71	73	at	at	ADP
fbem-11077	71	74	this	this	DET
fbem-11077	71	75	time	time	NOUN
fbem-11077	71	76	does	do	AUX
fbem-11077	71	77	not	not	PART
fbem-11077	71	78	bring	bring	VERB
fbem-11077	71	79	about	about	ADP
fbem-11077	71	80	a	a	DET
fbem-11077	71	81	large	large	ADJ
fbem-11077	71	82	decrease	decrease	NOUN
fbem-11077	71	83	in	in	ADP
fbem-11077	71	84	sse	sse	NOUN
fbem-11077	71	85	;	;	PUNCT
fbem-11077	71	86	therefore	therefore	ADV
fbem-11077	71	87	,	,	PUNCT
fbem-11077	71	88	the	the	DET
fbem-11077	71	89	cluster	cluster	NOUN
fbem-11077	71	90	deviation	deviation	NOUN
fbem-11077	71	91	plots	plot	VERB
fbem-11077	71	92	for	for	ADP
fbem-11077	71	93	different	different	ADJ
fbem-11077	71	94	k	k	PROPN
fbem-11077	71	95	values	value	NOUN
fbem-11077	71	96	obtained	obtain	VERB
fbem-11077	71	97	by	by	ADP
fbem-11077	71	98	the	the	DET
fbem-11077	71	99	elbow	elbow	NOUN
fbem-11077	71	100	rule	rule	NOUN
fbem-11077	71	101	know	know	VERB
fbem-11077	71	102	that	that	SCONJ
fbem-11077	71	103	when	when	SCONJ
fbem-11077	71	104	k	k	PROPN
fbem-11077	71	105	=	=	SYM
fbem-11077	71	106	3	3	NUM
fbem-11077	71	107	,	,	PUNCT
fbem-11077	71	108	the	the	DET
fbem-11077	71	109	degree	degree	NOUN
fbem-11077	71	110	of	of	ADP
fbem-11077	71	111	distortion	distortion	NOUN
fbem-11077	71	112	is	be	AUX
fbem-11077	71	113	substantially	substantially	ADV
fbem-11077	71	114	improved	improve	VERB
fbem-11077	71	115	,	,	PUNCT
fbem-11077	71	116	and	and	CCONJ
fbem-11077	71	117	k	k	PROPN
fbem-11077	71	118	=	=	SYM
fbem-11077	71	119	3	3	NUM
fbem-11077	71	120	is	be	AUX
fbem-11077	71	121	selected	select	VERB
fbem-11077	71	122	as	as	ADP
fbem-11077	71	123	the	the	DET
fbem-11077	71	124	number	number	NOUN
fbem-11077	71	125	of	of	ADP
fbem-11077	71	126	clusters	cluster	NOUN
fbem-11077	71	127	.	.	PUNCT
fbem-11077	72	1	the	the	DET
fbem-11077	72	2	housing	housing	NOUN
fbem-11077	72	3	data	datum	NOUN
fbem-11077	72	4	were	be	AUX
fbem-11077	72	5	classified	classify	VERB
fbem-11077	72	6	by	by	ADP
fbem-11077	72	7	iterating	iterate	VERB
fbem-11077	72	8	and	and	CCONJ
fbem-11077	72	9	then	then	ADV
fbem-11077	72	10	using	use	VERB
fbem-11077	72	11	the	the	DET
fbem-11077	72	12	k	k	ADJ
fbem-11077	72	13	-	-	PUNCT
fbem-11077	72	14	means	mean	VERB
fbem-11077	72	15	clustering	clustering	ADJ
fbem-11077	72	16	algorithm	algorithm	NOUN
fbem-11077	72	17	.	.	PUNCT
fbem-11077	73	1	the	the	DET
fbem-11077	73	2	classification	classification	NOUN
fbem-11077	73	3	results	result	NOUN
fbem-11077	73	4	are	be	AUX
fbem-11077	73	5	shown	show	VERB
fbem-11077	73	6	in	in	ADP
fbem-11077	73	7	figure	figure	NOUN
fbem-11077	73	8	3	3	NUM
fbem-11077	73	9	.	.	PUNCT
fbem-11077	73	10	figure	figure	NOUN
fbem-11077	73	11	3	3	NUM
fbem-11077	73	12	.	.	PUNCT
fbem-11077	74	1	k	k	X
fbem-11077	74	2	-	-	PUNCT
fbem-11077	74	3	means	mean	VERB
fbem-11077	74	4	clustering	cluster	VERB
fbem-11077	74	5	results	result	NOUN
fbem-11077	74	6	graph	graph	VERB
fbem-11077	74	7	380	380	NUM
fbem-11077	74	8	for	for	ADP
fbem-11077	74	9	the	the	DET
fbem-11077	74	10	clustering	clustering	ADJ
fbem-11077	74	11	points	point	NOUN
fbem-11077	74	12	in	in	ADP
fbem-11077	74	13	red	red	ADJ
fbem-11077	74	14	,	,	PUNCT
fbem-11077	74	15	this	this	DET
fbem-11077	74	16	cluster	cluster	NOUN
fbem-11077	74	17	contains	contain	VERB
fbem-11077	74	18	the	the	DET
fbem-11077	74	19	largest	large	ADJ
fbem-11077	74	20	number	number	NOUN
fbem-11077	74	21	of	of	ADP
fbem-11077	74	22	samples	sample	NOUN
fbem-11077	74	23	,	,	PUNCT
fbem-11077	74	24	which	which	PRON
fbem-11077	74	25	is	be	AUX
fbem-11077	74	26	about	about	ADV
fbem-11077	74	27	65	65	NUM
fbem-11077	74	28	%	%	NOUN
fbem-11077	74	29	of	of	ADP
fbem-11077	74	30	the	the	DET
fbem-11077	74	31	total	total	ADJ
fbem-11077	74	32	samples	sample	NOUN
fbem-11077	74	33	.	.	PUNCT
fbem-11077	75	1	this	this	PRON
fbem-11077	75	2	indicates	indicate	VERB
fbem-11077	75	3	that	that	SCONJ
fbem-11077	75	4	in	in	ADP
fbem-11077	75	5	the	the	DET
fbem-11077	75	6	11	11	NUM
fbem-11077	75	7	-	-	PUNCT
fbem-11077	75	8	dimensional	dimensional	ADJ
fbem-11077	75	9	feature	feature	NOUN
fbem-11077	75	10	space	space	NOUN
fbem-11077	75	11	,	,	PUNCT
fbem-11077	75	12	this	this	DET
fbem-11077	75	13	part	part	NOUN
fbem-11077	75	14	of	of	ADP
fbem-11077	75	15	samples	sample	NOUN
fbem-11077	75	16	shows	show	VERB
fbem-11077	75	17	high	high	ADJ
fbem-11077	75	18	similarity	similarity	NOUN
fbem-11077	75	19	in	in	ADP
fbem-11077	75	20	the	the	DET
fbem-11077	75	21	two	two	NUM
fbem-11077	75	22	key	key	ADJ
fbem-11077	75	23	features	feature	NOUN
fbem-11077	75	24	of	of	ADP
fbem-11077	75	25	housetotalmoney	housetotalmoney	NOUN
fbem-11077	75	26	and	and	CCONJ
fbem-11077	75	27	housesingleprice	housesingleprice	NOUN
fbem-11077	75	28	;	;	PUNCT
fbem-11077	75	29	the	the	DET
fbem-11077	75	30	sample	sample	NOUN
fbem-11077	75	31	points	point	VERB
fbem-11077	75	32	in	in	ADP
fbem-11077	75	33	this	this	DET
fbem-11077	75	34	cluster	cluster	NOUN
fbem-11077	75	35	are	be	AUX
fbem-11077	75	36	closely	closely	ADV
fbem-11077	75	37	clustered	cluster	VERB
fbem-11077	75	38	together	together	ADV
fbem-11077	75	39	and	and	CCONJ
fbem-11077	75	40	clearly	clearly	ADV
fbem-11077	75	41	distinguishable	distinguishable	ADJ
fbem-11077	75	42	from	from	ADP
fbem-11077	75	43	the	the	DET
fbem-11077	75	44	blue	blue	ADJ
fbem-11077	75	45	and	and	CCONJ
fbem-11077	75	46	yellow	yellow	ADJ
fbem-11077	75	47	clusters	cluster	NOUN
fbem-11077	75	48	,	,	PUNCT
fbem-11077	75	49	which	which	PRON
fbem-11077	75	50	indicates	indicate	VERB
fbem-11077	75	51	that	that	SCONJ
fbem-11077	75	52	the	the	DET
fbem-11077	75	53	clustering	cluster	VERB
fbem-11077	75	54	algorithm	algorithm	NOUN
fbem-11077	75	55	correctly	correctly	ADV
fbem-11077	75	56	captures	capture	VERB
fbem-11077	75	57	the	the	DET
fbem-11077	75	58	similar	similar	ADJ
fbem-11077	75	59	aggregation	aggregation	NOUN
fbem-11077	75	60	structure	structure	NOUN
fbem-11077	75	61	between	between	ADP
fbem-11077	75	62	samples	sample	NOUN
fbem-11077	75	63	and	and	CCONJ
fbem-11077	75	64	classifies	classify	VERB
fbem-11077	75	65	this	this	PRON
fbem-11077	75	66	indicates	indicate	VERB
fbem-11077	75	67	that	that	SCONJ
fbem-11077	75	68	the	the	DET
fbem-11077	75	69	clustering	cluster	VERB
fbem-11077	75	70	algorithm	algorithm	NOUN
fbem-11077	75	71	correctly	correctly	ADV
fbem-11077	75	72	captures	capture	VERB
fbem-11077	75	73	the	the	DET
fbem-11077	75	74	similar	similar	ADJ
fbem-11077	75	75	aggregation	aggregation	NOUN
fbem-11077	75	76	structure	structure	NOUN
fbem-11077	75	77	between	between	ADP
fbem-11077	75	78	samples	sample	NOUN
fbem-11077	75	79	and	and	CCONJ
fbem-11077	75	80	classifies	classify	VERB
fbem-11077	75	81	the	the	DET
fbem-11077	75	82	similar	similar	ADJ
fbem-11077	75	83	samples	sample	NOUN
fbem-11077	75	84	into	into	ADP
fbem-11077	75	85	the	the	DET
fbem-11077	75	86	same	same	ADJ
fbem-11077	75	87	cluster	cluster	NOUN
fbem-11077	75	88	;	;	PUNCT
fbem-11077	75	89	it	it	PRON
fbem-11077	75	90	can	can	AUX
fbem-11077	75	91	be	be	AUX
fbem-11077	75	92	presumed	presume	VERB
fbem-11077	75	93	that	that	SCONJ
fbem-11077	75	94	this	this	DET
fbem-11077	75	95	cluster	cluster	NOUN
fbem-11077	75	96	represents	represent	VERB
fbem-11077	75	97	a	a	DET
fbem-11077	75	98	clearer	clear	ADJ
fbem-11077	75	99	sample	sample	NOUN
fbem-11077	75	100	category	category	NOUN
fbem-11077	75	101	,	,	PUNCT
fbem-11077	75	102	and	and	CCONJ
fbem-11077	75	103	this	this	DET
fbem-11077	75	104	part	part	NOUN
fbem-11077	75	105	of	of	ADP
fbem-11077	75	106	samples	sample	NOUN
fbem-11077	75	107	may	may	AUX
fbem-11077	75	108	belong	belong	VERB
fbem-11077	75	109	to	to	ADP
fbem-11077	75	110	the	the	DET
fbem-11077	75	111	same	same	ADJ
fbem-11077	75	112	sample	sample	NOUN
fbem-11077	75	113	category	category	NOUN
fbem-11077	75	114	in	in	ADP
fbem-11077	75	115	practical	practical	ADJ
fbem-11077	75	116	applications	application	NOUN
fbem-11077	75	117	.	.	PUNCT
fbem-11077	76	1	for	for	ADP
fbem-11077	76	2	the	the	DET
fbem-11077	76	3	blue	blue	ADJ
fbem-11077	76	4	cluster	cluster	NOUN
fbem-11077	76	5	:	:	PUNCT
fbem-11077	76	6	this	this	DET
fbem-11077	76	7	cluster	cluster	NOUN
fbem-11077	76	8	contains	contain	VERB
fbem-11077	76	9	the	the	DET
fbem-11077	76	10	middle	middle	ADJ
fbem-11077	76	11	number	number	NOUN
fbem-11077	76	12	of	of	ADP
fbem-11077	76	13	samples	sample	NOUN
fbem-11077	76	14	,	,	PUNCT
fbem-11077	76	15	accounting	account	VERB
fbem-11077	76	16	for	for	ADP
fbem-11077	76	17	about	about	ADV
fbem-11077	76	18	30	30	NUM
fbem-11077	76	19	%	%	NOUN
fbem-11077	76	20	of	of	ADP
fbem-11077	76	21	the	the	DET
fbem-11077	76	22	total	total	ADJ
fbem-11077	76	23	samples	sample	NOUN
fbem-11077	76	24	.	.	PUNCT
fbem-11077	77	1	this	this	PRON
fbem-11077	77	2	indicates	indicate	VERB
fbem-11077	77	3	that	that	SCONJ
fbem-11077	77	4	the	the	DET
fbem-11077	77	5	distribution	distribution	NOUN
fbem-11077	77	6	of	of	ADP
fbem-11077	77	7	these	these	DET
fbem-11077	77	8	samples	sample	NOUN
fbem-11077	77	9	in	in	ADP
fbem-11077	77	10	the	the	DET
fbem-11077	77	11	11	11	NUM
fbem-11077	77	12	-	-	PUNCT
fbem-11077	77	13	dimensional	dimensional	ADJ
fbem-11077	77	14	feature	feature	NOUN
fbem-11077	77	15	space	space	NOUN
fbem-11077	77	16	is	be	AUX
fbem-11077	77	17	more	more	ADV
fbem-11077	77	18	dispersed	disperse	VERB
fbem-11077	77	19	,	,	PUNCT
fbem-11077	77	20	and	and	CCONJ
fbem-11077	77	21	the	the	DET
fbem-11077	77	22	clustering	clustering	ADJ
fbem-11077	77	23	algorithm	algorithm	NOUN
fbem-11077	77	24	can	can	AUX
fbem-11077	77	25	not	not	PART
fbem-11077	77	26	effectively	effectively	ADV
fbem-11077	77	27	capture	capture	VERB
fbem-11077	77	28	the	the	DET
fbem-11077	77	29	aggregation	aggregation	NOUN
fbem-11077	77	30	structure	structure	NOUN
fbem-11077	77	31	.	.	PUNCT
fbem-11077	78	1	this	this	PRON
fbem-11077	78	2	suggests	suggest	VERB
fbem-11077	78	3	that	that	SCONJ
fbem-11077	78	4	the	the	DET
fbem-11077	78	5	key	key	ADJ
fbem-11077	78	6	variables	variable	NOUN
fbem-11077	78	7	housetotalmoney	housetotalmoney	NOUN
fbem-11077	78	8	and	and	CCONJ
fbem-11077	78	9	housesingleprice	housesingleprice	NOUN
fbem-11077	78	10	play	play	VERB
fbem-11077	78	11	a	a	DET
fbem-11077	78	12	role	role	NOUN
fbem-11077	78	13	in	in	ADP
fbem-11077	78	14	distinguishing	distinguish	VERB
fbem-11077	78	15	the	the	DET
fbem-11077	78	16	samples	sample	NOUN
fbem-11077	78	17	in	in	ADP
fbem-11077	78	18	this	this	DET
fbem-11077	78	19	cluster	cluster	NOUN
fbem-11077	78	20	,	,	PUNCT
fbem-11077	78	21	but	but	CCONJ
fbem-11077	78	22	not	not	PART
fbem-11077	78	23	as	as	ADV
fbem-11077	78	24	much	much	ADV
fbem-11077	78	25	as	as	ADP
fbem-11077	78	26	in	in	ADP
fbem-11077	78	27	distinguishing	distinguish	VERB
fbem-11077	78	28	the	the	DET
fbem-11077	78	29	samples	sample	NOUN
fbem-11077	78	30	in	in	ADP
fbem-11077	78	31	the	the	DET
fbem-11077	78	32	red	red	ADJ
fbem-11077	78	33	cluster	cluster	NOUN
fbem-11077	78	34	.	.	PUNCT
fbem-11077	79	1	for	for	ADP
fbem-11077	79	2	the	the	DET
fbem-11077	79	3	yellow	yellow	ADJ
fbem-11077	79	4	cluster	cluster	NOUN
fbem-11077	79	5	:	:	PUNCT
fbem-11077	79	6	this	this	DET
fbem-11077	79	7	cluster	cluster	NOUN
fbem-11077	79	8	contains	contain	VERB
fbem-11077	79	9	the	the	DET
fbem-11077	79	10	least	least	ADJ
fbem-11077	79	11	number	number	NOUN
fbem-11077	79	12	of	of	ADP
fbem-11077	79	13	samples	sample	NOUN
fbem-11077	79	14	,	,	PUNCT
fbem-11077	79	15	about	about	ADV
fbem-11077	79	16	5	5	NUM
fbem-11077	79	17	%	%	NOUN
fbem-11077	79	18	of	of	ADP
fbem-11077	79	19	the	the	DET
fbem-11077	79	20	total	total	ADJ
fbem-11077	79	21	samples	sample	NOUN
fbem-11077	79	22	.	.	PUNCT
fbem-11077	80	1	as	as	SCONJ
fbem-11077	80	2	can	can	AUX
fbem-11077	80	3	be	be	AUX
fbem-11077	80	4	seen	see	VERB
fbem-11077	80	5	from	from	ADP
fbem-11077	80	6	the	the	DET
fbem-11077	80	7	figure	figure	NOUN
fbem-11077	80	8	,	,	PUNCT
fbem-11077	80	9	the	the	DET
fbem-11077	80	10	distribution	distribution	NOUN
fbem-11077	80	11	of	of	ADP
fbem-11077	80	12	sample	sample	NOUN
fbem-11077	80	13	points	point	NOUN
fbem-11077	80	14	in	in	ADP
fbem-11077	80	15	this	this	DET
fbem-11077	80	16	cluster	cluster	NOUN
fbem-11077	80	17	is	be	AUX
fbem-11077	80	18	more	more	ADV
fbem-11077	80	19	dispersed	disperse	VERB
fbem-11077	80	20	,	,	PUNCT
fbem-11077	80	21	and	and	CCONJ
fbem-11077	80	22	the	the	DET
fbem-11077	80	23	separation	separation	NOUN
fbem-11077	80	24	from	from	ADP
fbem-11077	80	25	the	the	DET
fbem-11077	80	26	red	red	ADJ
fbem-11077	80	27	and	and	CCONJ
fbem-11077	80	28	blue	blue	ADJ
fbem-11077	80	29	clusters	cluster	NOUN
fbem-11077	80	30	is	be	AUX
fbem-11077	80	31	not	not	PART
fbem-11077	80	32	significant	significant	ADJ
fbem-11077	80	33	.	.	PUNCT
fbem-11077	81	1	this	this	PRON
fbem-11077	81	2	indicates	indicate	VERB
fbem-11077	81	3	that	that	SCONJ
fbem-11077	81	4	the	the	DET
fbem-11077	81	5	kmeans	kmean	NOUN
fbem-11077	81	6	clustering	cluster	VERB
fbem-11077	81	7	algorithm	algorithm	NOUN
fbem-11077	81	8	is	be	AUX
fbem-11077	81	9	influenced	influence	VERB
fbem-11077	81	10	by	by	ADP
fbem-11077	81	11	the	the	DET
fbem-11077	81	12	discrete	discrete	ADJ
fbem-11077	81	13	values	value	NOUN
fbem-11077	81	14	and	and	CCONJ
fbem-11077	81	15	fails	fail	VERB
fbem-11077	81	16	to	to	PART
fbem-11077	81	17	find	find	VERB
fbem-11077	81	18	and	and	CCONJ
fbem-11077	81	19	use	use	VERB
fbem-11077	81	20	the	the	DET
fbem-11077	81	21	aggregation	aggregation	NOUN
fbem-11077	81	22	structure	structure	NOUN
fbem-11077	81	23	well	well	ADV
fbem-11077	81	24	,	,	PUNCT
fbem-11077	81	25	dividing	divide	VERB
fbem-11077	81	26	the	the	DET
fbem-11077	81	27	samples	sample	NOUN
fbem-11077	81	28	that	that	PRON
fbem-11077	81	29	should	should	AUX
fbem-11077	81	30	be	be	AUX
fbem-11077	81	31	classified	classify	VERB
fbem-11077	81	32	into	into	ADP
fbem-11077	81	33	the	the	DET
fbem-11077	81	34	same	same	ADJ
fbem-11077	81	35	cluster	cluster	NOUN
fbem-11077	81	36	into	into	ADP
fbem-11077	81	37	small	small	ADJ
fbem-11077	81	38	clusters	cluster	NOUN
fbem-11077	81	39	of	of	ADP
fbem-11077	81	40	moderate	moderate	ADJ
fbem-11077	81	41	size	size	NOUN
fbem-11077	81	42	,	,	PUNCT
fbem-11077	81	43	which	which	PRON
fbem-11077	81	44	makes	make	VERB
fbem-11077	81	45	the	the	DET
fbem-11077	81	46	clustering	clustering	NOUN
fbem-11077	81	47	results	result	NOUN
fbem-11077	81	48	less	less	ADV
fbem-11077	81	49	effective	effective	ADJ
fbem-11077	81	50	in	in	ADP
fbem-11077	81	51	prediction	prediction	NOUN
fbem-11077	81	52	.	.	PUNCT
fbem-11077	82	1	however	however	ADV
fbem-11077	82	2	,	,	PUNCT
fbem-11077	82	3	the	the	DET
fbem-11077	82	4	samples	sample	NOUN
fbem-11077	82	5	in	in	ADP
fbem-11077	82	6	this	this	DET
fbem-11077	82	7	cluster	cluster	NOUN
fbem-11077	82	8	still	still	ADV
fbem-11077	82	9	show	show	VERB
fbem-11077	82	10	some	some	DET
fbem-11077	82	11	similarity	similarity	NOUN
fbem-11077	82	12	in	in	ADP
fbem-11077	82	13	two	two	NUM
fbem-11077	82	14	key	key	ADJ
fbem-11077	82	15	variables	variable	NOUN
fbem-11077	82	16	,	,	PUNCT
fbem-11077	82	17	housetotalmoney	housetotalmoney	NOUN
fbem-11077	82	18	and	and	CCONJ
fbem-11077	82	19	housesingleprice	housesingleprice	NOUN
fbem-11077	82	20	,	,	PUNCT
fbem-11077	82	21	resulting	result	VERB
fbem-11077	82	22	in	in	ADP
fbem-11077	82	23	this	this	DET
fbem-11077	82	24	small	small	ADJ
fbem-11077	82	25	cluster	cluster	NOUN
fbem-11077	82	26	.	.	PUNCT
fbem-11077	83	1	also	also	ADV
fbem-11077	83	2	,	,	PUNCT
fbem-11077	83	3	as	as	SCONJ
fbem-11077	83	4	can	can	AUX
fbem-11077	83	5	be	be	AUX
fbem-11077	83	6	seen	see	VERB
fbem-11077	83	7	from	from	ADP
fbem-11077	83	8	the	the	DET
fbem-11077	83	9	figure	figure	NOUN
fbem-11077	83	10	,	,	PUNCT
fbem-11077	83	11	the	the	DET
fbem-11077	83	12	contour	contour	NOUN
fbem-11077	83	13	coefficient	coefficient	NOUN
fbem-11077	83	14	is	be	AUX
fbem-11077	83	15	0.8411	0.8411	NUM
fbem-11077	83	16	,	,	PUNCT
fbem-11077	83	17	which	which	PRON
fbem-11077	83	18	indicates	indicate	VERB
fbem-11077	83	19	that	that	SCONJ
fbem-11077	83	20	the	the	DET
fbem-11077	83	21	clustering	clustering	ADJ
fbem-11077	83	22	results	result	NOUN
fbem-11077	83	23	obtained	obtain	VERB
fbem-11077	83	24	by	by	ADP
fbem-11077	83	25	the	the	DET
fbem-11077	83	26	k	k	PROPN
fbem-11077	83	27	-	-	PUNCT
fbem-11077	83	28	means	mean	VERB
fbem-11077	83	29	clustering	clustering	ADJ
fbem-11077	83	30	algorithm	algorithm	NOUN
fbem-11077	83	31	are	be	AUX
fbem-11077	83	32	relatively	relatively	ADV
fbem-11077	83	33	good	good	ADJ
fbem-11077	83	34	,	,	PUNCT
fbem-11077	83	35	and	and	CCONJ
fbem-11077	83	36	the	the	DET
fbem-11077	83	37	samples	sample	NOUN
fbem-11077	83	38	have	have	VERB
fbem-11077	83	39	a	a	DET
fbem-11077	83	40	high	high	ADJ
fbem-11077	83	41	similarity	similarity	NOUN
fbem-11077	83	42	within	within	ADP
fbem-11077	83	43	the	the	DET
fbem-11077	83	44	same	same	ADJ
fbem-11077	83	45	cluster	cluster	NOUN
fbem-11077	83	46	,	,	PUNCT
fbem-11077	83	47	while	while	SCONJ
fbem-11077	83	48	the	the	DET
fbem-11077	83	49	differences	difference	NOUN
fbem-11077	83	50	between	between	ADP
fbem-11077	83	51	different	different	ADJ
fbem-11077	83	52	clusters	cluster	NOUN
fbem-11077	83	53	are	be	AUX
fbem-11077	83	54	relatively	relatively	ADV
fbem-11077	83	55	large	large	ADJ
fbem-11077	83	56	.	.	PUNCT
fbem-11077	84	1	this	this	PRON
fbem-11077	84	2	may	may	AUX
fbem-11077	84	3	indicate	indicate	VERB
fbem-11077	84	4	that	that	SCONJ
fbem-11077	84	5	the	the	DET
fbem-11077	84	6	clustering	cluster	VERB
fbem-11077	84	7	algorithm	algorithm	NOUN
fbem-11077	84	8	captures	capture	VERB
fbem-11077	84	9	the	the	DET
fbem-11077	84	10	similarities	similarity	NOUN
fbem-11077	84	11	and	and	CCONJ
fbem-11077	84	12	differences	difference	NOUN
fbem-11077	84	13	between	between	ADP
fbem-11077	84	14	the	the	DET
fbem-11077	84	15	samples	sample	NOUN
fbem-11077	84	16	better	well	ADV
fbem-11077	84	17	when	when	SCONJ
fbem-11077	84	18	dividing	divide	VERB
fbem-11077	84	19	them	they	PRON
fbem-11077	84	20	into	into	ADP
fbem-11077	84	21	different	different	ADJ
fbem-11077	84	22	clusters	cluster	NOUN
fbem-11077	84	23	and	and	CCONJ
fbem-11077	84	24	obtains	obtain	VERB
fbem-11077	84	25	a	a	DET
fbem-11077	84	26	more	more	ADV
fbem-11077	84	27	reasonable	reasonable	ADJ
fbem-11077	84	28	clustering	clustering	NOUN
fbem-11077	84	29	structure	structure	NOUN
fbem-11077	84	30	.	.	PUNCT
fbem-11077	85	1	based	base	VERB
fbem-11077	85	2	on	on	ADP
fbem-11077	85	3	the	the	DET
fbem-11077	85	4	two	two	NUM
fbem-11077	85	5	key	key	ADJ
fbem-11077	85	6	variables	variable	NOUN
fbem-11077	85	7	,	,	PUNCT
fbem-11077	85	8	housetotalmoney	housetotalmoney	NOUN
fbem-11077	85	9	and	and	CCONJ
fbem-11077	85	10	housesingleprice	housesingleprice	NOUN
fbem-11077	85	11	,	,	PUNCT
fbem-11077	85	12	and	and	CCONJ
fbem-11077	85	13	the	the	DET
fbem-11077	85	14	characteristics	characteristic	NOUN
fbem-11077	85	15	such	such	ADJ
fbem-11077	85	16	as	as	ADP
fbem-11077	85	17	the	the	DET
fbem-11077	85	18	range	range	NOUN
fbem-11077	85	19	of	of	ADP
fbem-11077	85	20	quantities	quantity	NOUN
fbem-11077	85	21	after	after	ADP
fbem-11077	85	22	clustering	cluster	VERB
fbem-11077	85	23	,	,	PUNCT
fbem-11077	85	24	the	the	DET
fbem-11077	85	25	classification	classification	NOUN
fbem-11077	85	26	results	result	NOUN
fbem-11077	85	27	are	be	AUX
fbem-11077	85	28	given	give	VERB
fbem-11077	85	29	as	as	SCONJ
fbem-11077	85	30	shown	show	VERB
fbem-11077	85	31	in	in	ADP
fbem-11077	85	32	table	table	NOUN
fbem-11077	85	33	3	3	NUM
fbem-11077	85	34	.	.	PUNCT
fbem-11077	85	35	table	table	NOUN
fbem-11077	85	36	3	3	NUM
fbem-11077	85	37	.	.	PUNCT
fbem-11077	86	1	classification	classification	NOUN
fbem-11077	86	2	results	result	NOUN
fbem-11077	86	3	house	house	NOUN
fbem-11077	86	4	type	type	NOUN
fbem-11077	86	5	category	category	NOUN
fbem-11077	86	6	explanation	explanation	NOUN
fbem-11077	86	7	clustering	clustering	NOUN
fbem-11077	86	8	points	point	NOUN
fbem-11077	86	9	economical	economical	ADJ
fbem-11077	86	10	housing	housing	NOUN
fbem-11077	86	11	the	the	DET
fbem-11077	86	12	total	total	ADJ
fbem-11077	86	13	and	and	CCONJ
fbem-11077	86	14	unit	unit	NOUN
fbem-11077	86	15	prices	price	NOUN
fbem-11077	86	16	of	of	ADP
fbem-11077	86	17	this	this	DET
fbem-11077	86	18	category	category	NOUN
fbem-11077	86	19	are	be	AUX
fbem-11077	86	20	in	in	ADP
fbem-11077	86	21	the	the	DET
fbem-11077	86	22	lower	low	ADJ
fbem-11077	86	23	range	range	NOUN
fbem-11077	86	24	,	,	PUNCT
fbem-11077	86	25	making	make	VERB
fbem-11077	86	26	it	it	PRON
fbem-11077	86	27	an	an	DET
fbem-11077	86	28	affordable	affordable	ADJ
fbem-11077	86	29	option	option	NOUN
fbem-11077	86	30	for	for	ADP
fbem-11077	86	31	the	the	DET
fbem-11077	86	32	average	average	ADJ
fbem-11077	86	33	family	family	NOUN
fbem-11077	86	34	.	.	PUNCT
fbem-11077	87	1	red	red	ADJ
fbem-11077	87	2	clustering	clustering	ADJ
fbem-11077	87	3	points	point	NOUN
fbem-11077	87	4	comfortable	comfortable	ADJ
fbem-11077	87	5	housing	housing	NOUN
fbem-11077	87	6	the	the	DET
fbem-11077	87	7	total	total	ADJ
fbem-11077	87	8	price	price	NOUN
fbem-11077	87	9	and	and	CCONJ
fbem-11077	87	10	unit	unit	NOUN
fbem-11077	87	11	price	price	NOUN
fbem-11077	87	12	of	of	ADP
fbem-11077	87	13	this	this	DET
fbem-11077	87	14	type	type	NOUN
fbem-11077	87	15	of	of	ADP
fbem-11077	87	16	housing	housing	NOUN
fbem-11077	87	17	are	be	AUX
fbem-11077	87	18	medium	medium	ADJ
fbem-11077	87	19	,	,	PUNCT
fbem-11077	87	20	neither	neither	CCONJ
fbem-11077	87	21	low	low	ADJ
fbem-11077	87	22	nor	nor	CCONJ
fbem-11077	87	23	high	high	ADJ
fbem-11077	87	24	end	end	NOUN
fbem-11077	87	25	,	,	PUNCT
fbem-11077	87	26	and	and	CCONJ
fbem-11077	87	27	the	the	DET
fbem-11077	87	28	living	live	VERB
fbem-11077	87	29	environment	environment	NOUN
fbem-11077	87	30	and	and	CCONJ
fbem-11077	87	31	facilities	facility	NOUN
fbem-11077	87	32	should	should	AUX
fbem-11077	87	33	be	be	AUX
fbem-11077	87	34	relatively	relatively	ADV
fbem-11077	87	35	comfortable	comfortable	ADJ
fbem-11077	87	36	and	and	CCONJ
fbem-11077	87	37	moderate	moderate	ADJ
fbem-11077	87	38	.	.	PUNCT
fbem-11077	88	1	blue	blue	ADJ
fbem-11077	88	2	clustering	clustering	ADJ
fbem-11077	88	3	points	point	NOUN
fbem-11077	88	4	high	high	ADJ
fbem-11077	88	5	-	-	PUNCT
fbem-11077	88	6	end	end	NOUN
fbem-11077	88	7	type	type	NOUN
fbem-11077	88	8	housing	housing	NOUN
fbem-11077	88	9	the	the	DET
fbem-11077	88	10	total	total	ADJ
fbem-11077	88	11	price	price	NOUN
fbem-11077	88	12	and	and	CCONJ
fbem-11077	88	13	unit	unit	NOUN
fbem-11077	88	14	price	price	NOUN
fbem-11077	88	15	of	of	ADP
fbem-11077	88	16	this	this	DET
fbem-11077	88	17	category	category	NOUN
fbem-11077	88	18	are	be	AUX
fbem-11077	88	19	in	in	ADP
fbem-11077	88	20	the	the	DET
fbem-11077	88	21	higher	high	ADJ
fbem-11077	88	22	range	range	NOUN
fbem-11077	88	23	,	,	PUNCT
fbem-11077	88	24	and	and	CCONJ
fbem-11077	88	25	the	the	DET
fbem-11077	88	26	living	living	NOUN
fbem-11077	88	27	environment	environment	NOUN
fbem-11077	88	28	,	,	PUNCT
fbem-11077	88	29	decoration	decoration	NOUN
fbem-11077	88	30	and	and	CCONJ
fbem-11077	88	31	facilities	facility	NOUN
fbem-11077	88	32	should	should	AUX
fbem-11077	88	33	reach	reach	VERB
fbem-11077	88	34	a	a	DET
fbem-11077	88	35	higher	high	ADJ
fbem-11077	88	36	level	level	NOUN
fbem-11077	88	37	of	of	ADP
fbem-11077	88	38	luxury	luxury	NOUN
fbem-11077	88	39	.	.	PUNCT
fbem-11077	89	1	yellow	yellow	ADJ
fbem-11077	89	2	clustering	clustering	NOUN
fbem-11077	89	3	points	point	NOUN
fbem-11077	89	4	5	5	NUM
fbem-11077	89	5	.	.	PUNCT
fbem-11077	89	6	random	random	ADJ
fbem-11077	89	7	forest	forest	NOUN
fbem-11077	89	8	prediction	prediction	NOUN
fbem-11077	89	9	model	model	NOUN
fbem-11077	89	10	5.1	5.1	NUM
fbem-11077	89	11	.	.	PUNCT
fbem-11077	90	1	model	model	PROPN
fbem-11077	90	2	principle	principle	NOUN
fbem-11077	90	3	the	the	DET
fbem-11077	90	4	basic	basic	ADJ
fbem-11077	90	5	idea	idea	NOUN
fbem-11077	90	6	of	of	ADP
fbem-11077	90	7	the	the	DET
fbem-11077	90	8	random	random	ADJ
fbem-11077	90	9	forest	forest	NOUN
fbem-11077	90	10	regression	regression	NOUN
fbem-11077	90	11	prediction	prediction	NOUN
fbem-11077	90	12	algorithm	algorithm	NOUN
fbem-11077	90	13	is	be	AUX
fbem-11077	90	14	to	to	PART
fbem-11077	90	15	achieve	achieve	VERB
fbem-11077	90	16	prediction	prediction	NOUN
fbem-11077	90	17	by	by	ADP
fbem-11077	90	18	constructing	construct	VERB
fbem-11077	90	19	multiple	multiple	ADJ
fbem-11077	90	20	decision	decision	NOUN
fbem-11077	90	21	trees	tree	NOUN
fbem-11077	90	22	and	and	CCONJ
fbem-11077	90	23	using	use	VERB
fbem-11077	90	24	randomization	randomization	NOUN
fbem-11077	90	25	to	to	PART
fbem-11077	90	26	enhance	enhance	VERB
fbem-11077	90	27	the	the	DET
fbem-11077	90	28	generalization	generalization	NOUN
fbem-11077	90	29	ability	ability	NOUN
fbem-11077	90	30	and	and	CCONJ
fbem-11077	90	31	robustness	robustness	NOUN
fbem-11077	90	32	of	of	ADP
fbem-11077	90	33	the	the	DET
fbem-11077	90	34	model	model	NOUN
fbem-11077	90	35	[	[	X
fbem-11077	90	36	4	4	NUM
fbem-11077	90	37	]	]	PUNCT
fbem-11077	90	38	.	.	PUNCT
fbem-11077	91	1	the	the	DET
fbem-11077	91	2	training	training	NOUN
fbem-11077	91	3	process	process	NOUN
fbem-11077	91	4	of	of	ADP
fbem-11077	91	5	random	random	ADJ
fbem-11077	91	6	forest	forest	NOUN
fbem-11077	91	7	regression	regression	NOUN
fbem-11077	91	8	prediction	prediction	NOUN
fbem-11077	91	9	first	first	ADJ
fbem-11077	91	10	extracts	extract	VERB
fbem-11077	91	11	the	the	DET
fbem-11077	91	12	training	training	NOUN
fbem-11077	91	13	dataset	dataset	VERB
fbem-11077	91	14	from	from	ADP
fbem-11077	91	15	the	the	DET
fbem-11077	91	16	original	original	ADJ
fbem-11077	91	17	dataset	dataset	NOUN
fbem-11077	91	18	by	by	ADP
fbem-11077	91	19	self	self	NOUN
fbem-11077	91	20	-	-	PUNCT
fbem-11077	91	21	sampling	sample	VERB
fbem-11077	91	22	method	method	NOUN
fbem-11077	91	23	(	(	PUNCT
fbem-11077	91	24	bootstrap	bootstrap	NOUN
fbem-11077	91	25	)	)	PUNCT
fbem-11077	91	26	and	and	CCONJ
fbem-11077	91	27	randomly	randomly	ADV
fbem-11077	91	28	selects	select	VERB
fbem-11077	91	29	a	a	DET
fbem-11077	91	30	portion	portion	NOUN
fbem-11077	91	31	of	of	ADP
fbem-11077	91	32	features	feature	NOUN
fbem-11077	91	33	as	as	ADP
fbem-11077	91	34	candidate	candidate	NOUN
fbem-11077	91	35	division	division	NOUN
fbem-11077	91	36	features	feature	VERB
fbem-11077	91	37	,	,	PUNCT
fbem-11077	91	38	and	and	CCONJ
fbem-11077	91	39	then	then	ADV
fbem-11077	91	40	constructs	construct	VERB
fbem-11077	91	41	a	a	DET
fbem-11077	91	42	decision	decision	NOUN
fbem-11077	91	43	tree	tree	NOUN
fbem-11077	91	44	for	for	ADP
fbem-11077	91	45	the	the	DET
fbem-11077	91	46	training	training	NOUN
fbem-11077	91	47	dataset	dataset	NOUN
fbem-11077	91	48	using	use	VERB
fbem-11077	91	49	cart	cart	NOUN
fbem-11077	91	50	decision	decision	NOUN
fbem-11077	91	51	tree	tree	NOUN
fbem-11077	91	52	algorithm	algorithm	NOUN
fbem-11077	91	53	.	.	PUNCT
fbem-11077	92	1	for	for	ADP
fbem-11077	92	2	each	each	DET
fbem-11077	92	3	tree	tree	NOUN
fbem-11077	92	4	,	,	PUNCT
fbem-11077	92	5	the	the	DET
fbem-11077	92	6	splitting	splitting	NOUN
fbem-11077	92	7	features	feature	NOUN
fbem-11077	92	8	of	of	ADP
fbem-11077	92	9	the	the	DET
fbem-11077	92	10	nodes	node	NOUN
fbem-11077	92	11	are	be	AUX
fbem-11077	92	12	selected	select	VERB
fbem-11077	92	13	from	from	ADP
fbem-11077	92	14	the	the	DET
fbem-11077	92	15	set	set	NOUN
fbem-11077	92	16	of	of	ADP
fbem-11077	92	17	candidate	candidate	NOUN
fbem-11077	92	18	features	feature	NOUN
fbem-11077	92	19	and	and	CCONJ
fbem-11077	92	20	split	split	VERB
fbem-11077	92	21	by	by	ADP
fbem-11077	92	22	minimizing	minimize	VERB
fbem-11077	92	23	the	the	DET
fbem-11077	92	24	objective	objective	ADJ
fbem-11077	92	25	function	function	NOUN
fbem-11077	92	26	such	such	ADJ
fbem-11077	92	27	as	as	ADP
fbem-11077	92	28	the	the	DET
fbem-11077	92	29	mean	mean	ADJ
fbem-11077	92	30	square	square	ADJ
fbem-11077	92	31	error	error	NOUN
fbem-11077	92	32	on	on	ADP
fbem-11077	92	33	the	the	DET
fbem-11077	92	34	dataset	dataset	NOUN
fbem-11077	92	35	.	.	PUNCT
fbem-11077	93	1	ultimately	ultimately	ADV
fbem-11077	93	2	,	,	PUNCT
fbem-11077	93	3	the	the	DET
fbem-11077	93	4	random	random	ADJ
fbem-11077	93	5	forest	forest	NOUN
fbem-11077	93	6	prediction	prediction	NOUN
fbem-11077	93	7	model	model	NOUN
fbem-11077	93	8	is	be	AUX
fbem-11077	93	9	integrated	integrate	VERB
fbem-11077	93	10	from	from	ADP
fbem-11077	93	11	multiple	multiple	ADJ
fbem-11077	93	12	decision	decision	NOUN
fbem-11077	93	13	trees	tree	NOUN
fbem-11077	93	14	.	.	PUNCT
fbem-11077	94	1	when	when	SCONJ
fbem-11077	94	2	making	make	VERB
fbem-11077	94	3	predictions	prediction	NOUN
fbem-11077	94	4	,	,	PUNCT
fbem-11077	94	5	test	test	NOUN
fbem-11077	94	6	data	datum	NOUN
fbem-11077	94	7	are	be	AUX
fbem-11077	94	8	fed	feed	VERB
fbem-11077	94	9	into	into	ADP
fbem-11077	94	10	the	the	DET
fbem-11077	94	11	random	random	ADJ
fbem-11077	94	12	forest	forest	NOUN
fbem-11077	94	13	prediction	prediction	NOUN
fbem-11077	94	14	model	model	NOUN
fbem-11077	94	15	,	,	PUNCT
fbem-11077	94	16	each	each	DET
fbem-11077	94	17	decision	decision	NOUN
fbem-11077	94	18	tree	tree	NOUN
fbem-11077	94	19	gives	give	VERB
fbem-11077	94	20	a	a	DET
fbem-11077	94	21	prediction	prediction	NOUN
fbem-11077	94	22	result	result	NOUN
fbem-11077	94	23	,	,	PUNCT
fbem-11077	94	24	and	and	CCONJ
fbem-11077	94	25	the	the	DET
fbem-11077	94	26	final	final	ADJ
fbem-11077	94	27	prediction	prediction	NOUN
fbem-11077	94	28	result	result	NOUN
fbem-11077	94	29	is	be	AUX
fbem-11077	94	30	the	the	DET
fbem-11077	94	31	average	average	ADJ
fbem-11077	94	32	or	or	CCONJ
fbem-11077	94	33	weighted	weight	VERB
fbem-11077	94	34	average	average	NOUN
fbem-11077	94	35	of	of	ADP
fbem-11077	94	36	the	the	DET
fbem-11077	94	37	prediction	prediction	NOUN
fbem-11077	94	38	results	result	NOUN
fbem-11077	94	39	of	of	ADP
fbem-11077	94	40	all	all	DET
fbem-11077	94	41	decision	decision	NOUN
fbem-11077	94	42	trees	tree	NOUN
fbem-11077	94	43	.	.	PUNCT
fbem-11077	95	1	5.2	5.2	NUM
fbem-11077	95	2	.	.	PUNCT
fbem-11077	95	3	model	model	NOUN
fbem-11077	95	4	building	build	VERB
fbem-11077	95	5	the	the	DET
fbem-11077	95	6	quantified	quantified	ADJ
fbem-11077	95	7	data	datum	NOUN
fbem-11077	95	8	were	be	AUX
fbem-11077	95	9	divided	divide	VERB
fbem-11077	95	10	into	into	ADP
fbem-11077	95	11	training	training	NOUN
fbem-11077	95	12	and	and	CCONJ
fbem-11077	95	13	test	test	NOUN
fbem-11077	95	14	sets	set	NOUN
fbem-11077	95	15	,	,	PUNCT
fbem-11077	95	16	80	80	NUM
fbem-11077	95	17	%	%	NOUN
fbem-11077	95	18	of	of	ADP
fbem-11077	95	19	the	the	DET
fbem-11077	95	20	data	datum	NOUN
fbem-11077	95	21	were	be	AUX
fbem-11077	95	22	taken	take	VERB
fbem-11077	95	23	as	as	ADP
fbem-11077	95	24	the	the	DET
fbem-11077	95	25	training	training	NOUN
fbem-11077	95	26	set	set	NOUN
fbem-11077	95	27	and	and	CCONJ
fbem-11077	95	28	20	20	NUM
fbem-11077	95	29	%	%	NOUN
fbem-11077	95	30	as	as	ADP
fbem-11077	95	31	the	the	DET
fbem-11077	95	32	test	test	NOUN
fbem-11077	95	33	set	set	NOUN
fbem-11077	95	34	,	,	PUNCT
fbem-11077	95	35	the	the	DET
fbem-11077	95	36	training	training	NOUN
fbem-11077	95	37	and	and	CCONJ
fbem-11077	95	38	test	test	NOUN
fbem-11077	95	39	sets	set	NOUN
fbem-11077	95	40	were	be	AUX
fbem-11077	95	41	randomly	randomly	ADV
fbem-11077	95	42	selected	select	VERB
fbem-11077	95	43	each	each	DET
fbem-11077	95	44	time	time	NOUN
fbem-11077	95	45	,	,	PUNCT
fbem-11077	95	46	the	the	DET
fbem-11077	95	47	data	datum	NOUN
fbem-11077	95	48	from	from	ADP
fbem-11077	95	49	the	the	DET
fbem-11077	95	50	training	training	NOUN
fbem-11077	95	51	set	set	NOUN
fbem-11077	95	52	were	be	AUX
fbem-11077	95	53	normalized	normalize	VERB
fbem-11077	95	54	,	,	PUNCT
fbem-11077	95	55	and	and	CCONJ
fbem-11077	95	56	the	the	DET
fbem-11077	95	57	model	model	NOUN
fbem-11077	95	58	worked	work	VERB
fbem-11077	95	59	best	well	ADV
fbem-11077	95	60	when	when	SCONJ
fbem-11077	95	61	30	30	NUM
fbem-11077	95	62	decision	decision	NOUN
fbem-11077	95	63	trees	tree	NOUN
fbem-11077	95	64	were	be	AUX
fbem-11077	95	65	obtained	obtain	VERB
fbem-11077	95	66	by	by	ADP
fbem-11077	95	67	adjusting	adjust	VERB
fbem-11077	95	68	the	the	DET
fbem-11077	95	69	parameters	parameter	NOUN
fbem-11077	95	70	,	,	PUNCT
fbem-11077	95	71	and	and	CCONJ
fbem-11077	95	72	the	the	DET
fbem-11077	95	73	random	random	ADJ
fbem-11077	95	74	forest	forest	NOUN
fbem-11077	95	75	regression	regression	NOUN
fbem-11077	95	76	prediction	prediction	NOUN
fbem-11077	95	77	model	model	NOUN
fbem-11077	95	78	was	be	AUX
fbem-11077	95	79	constructed	construct	VERB
fbem-11077	95	80	using	use	VERB
fbem-11077	95	81	the	the	DET
fbem-11077	95	82	built	build	VERB
fbem-11077	95	83	-	-	PUNCT
fbem-11077	95	84	in	in	ADP
fbem-11077	95	85	function	function	NOUN
fbem-11077	95	86	treebagger	treebagger	NOUN
fbem-11077	95	87	in	in	ADP
fbem-11077	95	88	matlab	matlab	PROPN
fbem-11077	95	89	to	to	PART
fbem-11077	95	90	predict	predict	VERB
fbem-11077	95	91	the	the	DET
fbem-11077	95	92	test	test	NOUN
fbem-11077	95	93	set	set	NOUN
fbem-11077	95	94	,	,	PUNCT
fbem-11077	95	95	and	and	CCONJ
fbem-11077	95	96	the	the	DET
fbem-11077	95	97	predicted	predict	VERB
fbem-11077	95	98	values	value	NOUN
fbem-11077	95	99	and	and	CCONJ
fbem-11077	95	100	importance	importance	NOUN
fbem-11077	95	101	estimation	estimation	NOUN
fbem-11077	95	102	plots	plot	NOUN
fbem-11077	95	103	were	be	AUX
fbem-11077	95	104	derived	derive	VERB
fbem-11077	95	105	[	[	PUNCT
fbem-11077	95	106	5	5	NUM
fbem-11077	95	107	]	]	PUNCT
fbem-11077	95	108	.	.	PUNCT
fbem-11077	96	1	figure	figure	VERB
fbem-11077	96	2	4	4	NUM
fbem-11077	96	3	.	.	PUNCT
fbem-11077	96	4	importance	importance	NOUN
fbem-11077	96	5	estimation	estimation	NOUN
fbem-11077	96	6	graph	graph	NOUN
fbem-11077	96	7	of	of	ADP
fbem-11077	96	8	raw	raw	ADJ
fbem-11077	96	9	data	datum	NOUN
fbem-11077	96	10	analysis	analysis	NOUN
fbem-11077	96	11	of	of	ADP
fbem-11077	96	12	figure	figure	NOUN
fbem-11077	96	13	4	4	NUM
fbem-11077	96	14	shows	show	VERB
fbem-11077	96	15	that	that	SCONJ
fbem-11077	96	16	the	the	DET
fbem-11077	96	17	importance	importance	NOUN
fbem-11077	96	18	of	of	ADP
fbem-11077	96	19	each	each	DET
fbem-11077	96	20	variable	variable	NOUN
fbem-11077	96	21	deviates	deviate	VERB
fbem-11077	96	22	significantly	significantly	ADV
fbem-11077	96	23	,	,	PUNCT
fbem-11077	96	24	and	and	CCONJ
fbem-11077	96	25	the	the	DET
fbem-11077	96	26	model	model	NOUN
fbem-11077	96	27	needs	need	VERB
fbem-11077	96	28	to	to	PART
fbem-11077	96	29	be	be	AUX
fbem-11077	96	30	381	381	NUM
fbem-11077	96	31	processed	process	VERB
fbem-11077	96	32	by	by	ADP
fbem-11077	96	33	eliminating	eliminate	VERB
fbem-11077	96	34	the	the	DET
fbem-11077	96	35	variables	variable	NOUN
fbem-11077	96	36	with	with	ADP
fbem-11077	96	37	the	the	DET
fbem-11077	96	38	least	least	ADJ
fbem-11077	96	39	importance	importance	NOUN
fbem-11077	96	40	in	in	ADP
fbem-11077	96	41	turn	turn	NOUN
fbem-11077	96	42	until	until	SCONJ
fbem-11077	96	43	the	the	DET
fbem-11077	96	44	importance	importance	NOUN
fbem-11077	96	45	of	of	ADP
fbem-11077	96	46	each	each	DET
fbem-11077	96	47	variable	variable	NOUN
fbem-11077	96	48	is	be	AUX
fbem-11077	96	49	acceptable	acceptable	ADJ
fbem-11077	96	50	.	.	PUNCT
fbem-11077	97	1	after	after	ADP
fbem-11077	97	2	performing	perform	VERB
fbem-11077	97	3	the	the	DET
fbem-11077	97	4	variable	variable	ADJ
fbem-11077	97	5	elimination	elimination	NOUN
fbem-11077	97	6	,	,	PUNCT
fbem-11077	97	7	the	the	DET
fbem-11077	97	8	final	final	ADJ
fbem-11077	97	9	model	model	NOUN
fbem-11077	97	10	and	and	CCONJ
fbem-11077	97	11	the	the	DET
fbem-11077	97	12	importance	importance	NOUN
fbem-11077	97	13	estimation	estimation	NOUN
fbem-11077	97	14	plot	plot	NOUN
fbem-11077	97	15	were	be	AUX
fbem-11077	97	16	obtained	obtain	VERB
fbem-11077	97	17	(	(	PUNCT
fbem-11077	97	18	as	as	SCONJ
fbem-11077	97	19	shown	show	VERB
fbem-11077	97	20	in	in	ADP
fbem-11077	97	21	figure	figure	NOUN
fbem-11077	97	22	5	5	NUM
fbem-11077	97	23	)	)	PUNCT
fbem-11077	97	24	.	.	PUNCT
fbem-11077	98	1	figure	figure	NOUN
fbem-11077	98	2	5	5	NUM
fbem-11077	98	3	.	.	PUNCT
fbem-11077	98	4	importance	importance	NOUN
fbem-11077	98	5	estimation	estimation	NOUN
fbem-11077	98	6	graph	graph	NOUN
fbem-11077	98	7	after	after	ADP
fbem-11077	98	8	removing	remove	VERB
fbem-11077	98	9	variables	variable	NOUN
fbem-11077	98	10	after	after	ADP
fbem-11077	98	11	removing	remove	VERB
fbem-11077	98	12	the	the	DET
fbem-11077	98	13	variables	variable	NOUN
fbem-11077	98	14	,	,	PUNCT
fbem-11077	98	15	the	the	DET
fbem-11077	98	16	indicators	indicator	NOUN
fbem-11077	98	17	𝑥	𝑥	X
fbem-11077	98	18	,	,	PUNCT
fbem-11077	98	19	𝑥	𝑥	INTJ
fbem-11077	98	20	,	,	PUNCT
fbem-11077	98	21	𝑥	𝑥	PROPN
fbem-11077	98	22	,	,	PUNCT
fbem-11077	98	23	𝑥	𝑥	PROPN
fbem-11077	98	24	,	,	PUNCT
fbem-11077	98	25	𝑥	𝑥	PROPN
fbem-11077	98	26	,	,	PUNCT
fbem-11077	98	27	𝑥	𝑥	PROPN
fbem-11077	98	28	,	,	PUNCT
fbem-11077	98	29	𝑥	𝑥	PROPN
fbem-11077	98	30	,	,	PUNCT
fbem-11077	98	31	𝑥	𝑥	PROPN
fbem-11077	98	32	,	,	PUNCT
fbem-11077	98	33	𝑥	𝑥	X
fbem-11077	98	34	,	,	PUNCT
fbem-11077	98	35	and	and	CCONJ
fbem-11077	98	36	𝑥	𝑥	PROPN
fbem-11077	98	37	were	be	AUX
fbem-11077	98	38	selected	select	VERB
fbem-11077	98	39	to	to	PART
fbem-11077	98	40	construct	construct	VERB
fbem-11077	98	41	the	the	DET
fbem-11077	98	42	random	random	ADJ
fbem-11077	98	43	forest	forest	NOUN
fbem-11077	98	44	prediction	prediction	NOUN
fbem-11077	98	45	model	model	NOUN
fbem-11077	98	46	,	,	PUNCT
fbem-11077	98	47	where	where	SCONJ
fbem-11077	98	48	r^2=0.92	r^2=0.92	NOUN
fbem-11077	98	49	and	and	CCONJ
fbem-11077	98	50	the	the	DET
fbem-11077	98	51	model	model	NOUN
fbem-11077	98	52	fit	fit	ADJ
fbem-11077	98	53	accuracy	accuracy	NOUN
fbem-11077	98	54	was	be	AUX
fbem-11077	98	55	high	high	ADJ
fbem-11077	98	56	.	.	PUNCT
fbem-11077	99	1	6	6	X
fbem-11077	99	2	.	.	X
fbem-11077	99	3	conclusion	conclusion	NOUN
fbem-11077	99	4	6.1	6.1	NUM
fbem-11077	99	5	.	.	PUNCT
fbem-11077	100	1	the	the	DET
fbem-11077	100	2	establishment	establishment	NOUN
fbem-11077	100	3	of	of	ADP
fbem-11077	100	4	simulation	simulation	NOUN
fbem-11077	100	5	model	model	NOUN
fbem-11077	100	6	according	accord	VERB
fbem-11077	100	7	to	to	ADP
fbem-11077	100	8	the	the	DET
fbem-11077	100	9	analysis	analysis	NOUN
fbem-11077	100	10	results	result	NOUN
fbem-11077	100	11	of	of	ADP
fbem-11077	100	12	this	this	DET
fbem-11077	100	13	paper	paper	NOUN
fbem-11077	100	14	,	,	PUNCT
fbem-11077	100	15	house	house	NOUN
fbem-11077	100	16	prices	price	NOUN
fbem-11077	100	17	are	be	AUX
fbem-11077	100	18	mainly	mainly	ADV
fbem-11077	100	19	affected	affect	VERB
fbem-11077	100	20	by	by	ADP
fbem-11077	100	21	housesingleprice	housesingleprice	NOUN
fbem-11077	100	22	,	,	PUNCT
fbem-11077	100	23	houselocation	houselocation	NOUN
fbem-11077	100	24	,	,	PUNCT
fbem-11077	100	25	housetype	housetype	NOUN
fbem-11077	100	26	,	,	PUNCT
fbem-11077	100	27	housefloor	housefloor	NOUN
fbem-11077	100	28	,	,	PUNCT
fbem-11077	100	29	housebuildingarea	housebuildingarea	NOUN
fbem-11077	100	30	,	,	PUNCT
fbem-11077	100	31	housestructure	housestructure	NOUN
fbem-11077	100	32	,	,	PUNCT
fbem-11077	100	33	housedecoration	housedecoration	NOUN
fbem-11077	100	34	houseelevatorratio	houseelevatorratio	NOUN
fbem-11077	100	35	,	,	PUNCT
fbem-11077	100	36	housetradeproperty	housetradeproperty	NOUN
fbem-11077	100	37	,	,	PUNCT
fbem-11077	100	38	houseusage	houseusage	NOUN
fbem-11077	100	39	,	,	PUNCT
fbem-11077	100	40	which	which	PRON
fbem-11077	100	41	are	be	AUX
fbem-11077	100	42	10	10	NUM
fbem-11077	100	43	indicators	indicator	NOUN
fbem-11077	100	44	that	that	SCONJ
fbem-11077	100	45	the	the	DET
fbem-11077	100	46	government	government	NOUN
fbem-11077	100	47	can	can	AUX
fbem-11077	100	48	refer	refer	VERB
fbem-11077	100	49	to	to	ADP
fbem-11077	100	50	in	in	ADP
fbem-11077	100	51	order	order	NOUN
fbem-11077	100	52	to	to	PART
fbem-11077	100	53	formulate	formulate	VERB
fbem-11077	100	54	relevant	relevant	ADJ
fbem-11077	100	55	housing	housing	NOUN
fbem-11077	100	56	policies	policy	NOUN
fbem-11077	100	57	to	to	PART
fbem-11077	100	58	promote	promote	VERB
fbem-11077	100	59	the	the	DET
fbem-11077	100	60	stable	stable	ADJ
fbem-11077	100	61	and	and	CCONJ
fbem-11077	100	62	healthy	healthy	ADJ
fbem-11077	100	63	development	development	NOUN
fbem-11077	100	64	of	of	ADP
fbem-11077	100	65	the	the	DET
fbem-11077	100	66	real	real	ADJ
fbem-11077	100	67	estate	estate	NOUN
fbem-11077	100	68	market	market	NOUN
fbem-11077	100	69	.	.	PUNCT
fbem-11077	101	1	home	home	NOUN
fbem-11077	101	2	buyers	buyer	NOUN
fbem-11077	101	3	and	and	CCONJ
fbem-11077	101	4	investors	investor	NOUN
fbem-11077	101	5	can	can	AUX
fbem-11077	101	6	refer	refer	VERB
fbem-11077	101	7	to	to	ADP
fbem-11077	101	8	these	these	DET
fbem-11077	101	9	indicators	indicator	NOUN
fbem-11077	101	10	to	to	PART
fbem-11077	101	11	choose	choose	VERB
fbem-11077	101	12	the	the	DET
fbem-11077	101	13	right	right	ADJ
fbem-11077	101	14	type	type	NOUN
fbem-11077	101	15	of	of	ADP
fbem-11077	101	16	housing	housing	NOUN
fbem-11077	101	17	and	and	CCONJ
fbem-11077	101	18	investment	investment	NOUN
fbem-11077	101	19	direction	direction	NOUN
fbem-11077	101	20	.	.	PUNCT
fbem-11077	102	1	the	the	DET
fbem-11077	102	2	government	government	NOUN
fbem-11077	102	3	can	can	AUX
fbem-11077	102	4	also	also	ADV
fbem-11077	102	5	use	use	VERB
fbem-11077	102	6	the	the	DET
fbem-11077	102	7	random	random	ADJ
fbem-11077	102	8	forest	forest	NOUN
fbem-11077	102	9	forecasting	forecasting	NOUN
fbem-11077	102	10	model	model	NOUN
fbem-11077	102	11	to	to	PART
fbem-11077	102	12	predict	predict	VERB
fbem-11077	102	13	the	the	DET
fbem-11077	102	14	house	house	NOUN
fbem-11077	102	15	prices	price	NOUN
fbem-11077	102	16	and	and	CCONJ
fbem-11077	102	17	formulate	formulate	VERB
fbem-11077	102	18	corresponding	corresponding	ADJ
fbem-11077	102	19	policy	policy	NOUN
fbem-11077	102	20	measures	measure	NOUN
fbem-11077	102	21	.	.	PUNCT
fbem-11077	103	1	housebuyers	housebuyer	NOUN
fbem-11077	103	2	and	and	CCONJ
fbem-11077	103	3	investors	investor	NOUN
fbem-11077	103	4	can	can	AUX
fbem-11077	103	5	use	use	VERB
fbem-11077	103	6	random	random	ADJ
fbem-11077	103	7	forest	forest	NOUN
fbem-11077	103	8	forecasting	forecasting	NOUN
fbem-11077	103	9	model	model	NOUN
fbem-11077	103	10	to	to	PART
fbem-11077	103	11	predict	predict	VERB
fbem-11077	103	12	house	house	NOUN
fbem-11077	103	13	prices	price	NOUN
fbem-11077	103	14	and	and	CCONJ
fbem-11077	103	15	make	make	VERB
fbem-11077	103	16	more	more	ADV
fbem-11077	103	17	informed	informed	ADJ
fbem-11077	103	18	decisions	decision	NOUN
fbem-11077	103	19	.	.	PUNCT
fbem-11077	104	1	households	household	NOUN
fbem-11077	104	2	can	can	AUX
fbem-11077	104	3	use	use	VERB
fbem-11077	104	4	random	random	ADJ
fbem-11077	104	5	forest	forest	NOUN
fbem-11077	104	6	prediction	prediction	NOUN
fbem-11077	104	7	models	model	NOUN
fbem-11077	104	8	to	to	PART
fbem-11077	104	9	assess	assess	VERB
fbem-11077	104	10	the	the	DET
fbem-11077	104	11	value	value	NOUN
fbem-11077	104	12	of	of	ADP
fbem-11077	104	13	their	their	PRON
fbem-11077	104	14	own	own	ADJ
fbem-11077	104	15	homes	home	NOUN
fbem-11077	104	16	and	and	CCONJ
fbem-11077	104	17	make	make	VERB
fbem-11077	104	18	decisions	decision	NOUN
fbem-11077	104	19	accordingly	accordingly	ADV
fbem-11077	104	20	to	to	PART
fbem-11077	104	21	get	get	VERB
fbem-11077	104	22	a	a	DET
fbem-11077	104	23	better	well	ADJ
fbem-11077	104	24	return	return	NOUN
fbem-11077	104	25	on	on	ADP
fbem-11077	104	26	their	their	PRON
fbem-11077	104	27	investment	investment	NOUN
fbem-11077	104	28	.	.	PUNCT
fbem-11077	105	1	references	reference	NOUN
fbem-11077	105	2	[	[	X
fbem-11077	105	3	1	1	NUM
fbem-11077	105	4	]	]	X
fbem-11077	105	5	minjie	minjie	NOUN
fbem-11077	105	6	bian.a	bian.a	NOUN
fbem-11077	105	7	study	study	NOUN
fbem-11077	105	8	of	of	ADP
fbem-11077	105	9	the	the	DET
fbem-11077	105	10	factors	factor	NOUN
fbem-11077	105	11	influencing	influence	VERB
fbem-11077	105	12	the	the	DET
fbem-11077	105	13	variability	variability	NOUN
fbem-11077	105	14	of	of	ADP
fbem-11077	105	15	housing	housing	NOUN
fbem-11077	105	16	prices	price	NOUN
fbem-11077	105	17	among	among	ADP
fbem-11077	105	18	cities	city	NOUN
fbem-11077	105	19	in	in	ADP
fbem-11077	105	20	china[d].nanjing	china[d].nanje	VERB
fbem-11077	105	21	university	university	NOUN
fbem-11077	105	22	of	of	ADP
fbem-11077	105	23	science	science	NOUN
fbem-11077	105	24	and	and	CCONJ
fbem-11077	105	25	technology	technology	NOUN
fbem-11077	105	26	,	,	PUNCT
fbem-11077	105	27	2021	2021	NUM
fbem-11077	105	28	.	.	PUNCT
fbem-11077	106	1	doi	doi	NOUN
fbem-11077	106	2	:	:	PUNCT
fbem-11077	106	3	10.27241/	10.27241/	NUM
fbem-11077	106	4	d.cnki.gnjgu	d.cnki.gnjgu	PROPN
fbem-11077	106	5	.	.	PROPN
fbem-11077	106	6	2021	2021	NUM
fbem-11077	106	7	.	.	PUNCT
fbem-11077	107	1	002031	002031	NUM
fbem-11077	107	2	.	.	PUNCT
fbem-11077	108	1	[	[	X
fbem-11077	108	2	2	2	NUM
fbem-11077	108	3	]	]	PUNCT
fbem-11077	108	4	chunli	chunli	ADJ
fbem-11077	108	5	peng.research	peng.research	ADJ
fbem-11077	108	6	on	on	ADP
fbem-11077	108	7	the	the	DET
fbem-11077	108	8	factors	factor	NOUN
fbem-11077	108	9	influencing	influence	VERB
fbem-11077	108	10	the	the	DET
fbem-11077	108	11	consumption	consumption	NOUN
fbem-11077	108	12	level	level	NOUN
fbem-11077	108	13	of	of	ADP
fbem-11077	108	14	urban	urban	ADJ
fbem-11077	108	15	residents	resident	NOUN
fbem-11077	108	16	in	in	ADP
fbem-11077	108	17	guangdong	guangdong	PROPN
fbem-11077	108	18	province[j].china	province[j].china	PROPN
fbem-11077	108	19	collective	collective	ADJ
fbem-11077	108	20	economy	economy	NOUN
fbem-11077	108	21	,	,	PUNCT
fbem-11077	108	22	2023(09):24	2023(09):24	NUM
fbem-11077	108	23	-	-	SYM
fbem-11077	108	24	27	27	NUM
fbem-11077	108	25	.	.	PUNCT
fbem-11077	109	1	[	[	X
fbem-11077	109	2	3	3	X
fbem-11077	109	3	]	]	X
fbem-11077	109	4	simei	simei	PROPN
fbem-11077	109	5	lin	lin	PROPN
fbem-11077	109	6	,	,	PUNCT
fbem-11077	109	7	huaguo	huaguo	PROPN
fbem-11077	109	8	huang	huang	PROPN
fbem-11077	109	9	,	,	PUNCT
fbem-11077	109	10	ling	ling	NOUN
fbem-11077	109	11	chen.combining	chen.combine	VERB
fbem-11077	109	12	random	random	ADJ
fbem-11077	109	13	forest	forest	NOUN
fbem-11077	109	14	and	and	CCONJ
fbem-11077	109	15	k	k	NOUN
fbem-11077	109	16	-	-	PUNCT
fbem-11077	109	17	means	means	NOUN
fbem-11077	109	18	clustering	cluster	VERB
fbem-11077	109	19	to	to	PART
fbem-11077	109	20	evaluate	evaluate	VERB
fbem-11077	109	21	the	the	DET
fbem-11077	109	22	severity	severity	NOUN
fbem-11077	109	23	of	of	ADP
fbem-11077	109	24	wetland	wetland	NOUN
fbem-11077	109	25	fires[j].remote	fires[j].remote	PROPN
fbem-11077	109	26	sensing	sense	VERB
fbem-11077	109	27	information	information	NOUN
fbem-11077	109	28	,	,	PUNCT
fbem-11077	109	29	2019,34(02):4854	2019,34(02):4854	NUM
fbem-11077	109	30	.	.	PUNCT
fbem-11077	110	1	[	[	X
fbem-11077	110	2	4	4	NUM
fbem-11077	110	3	]	]	X
fbem-11077	110	4	yanlin	yanlin	PROPN
fbem-11077	110	5	xu	xu	PROPN
fbem-11077	110	6	.	.	PUNCT
fbem-11077	111	1	random	random	ADJ
fbem-11077	111	2	forest	forest	NOUN
fbem-11077	111	3	model	model	NOUN
fbem-11077	111	4	-	-	PUNCT
fbem-11077	111	5	based	base	VERB
fbem-11077	111	6	bulk	bulk	ADJ
fbem-11077	111	7	evaluation	evaluation	NOUN
fbem-11077	111	8	of	of	ADP
fbem-11077	111	9	used	use	VERB
fbem-11077	111	10	residential	residential	ADJ
fbem-11077	111	11	home	home	PROPN
fbem-11077	111	12	prices[d].zhongnan	prices[d].zhongnan	PROPN
fbem-11077	111	13	university	university	PROPN
fbem-11077	111	14	of	of	ADP
fbem-11077	111	15	economics	economic	NOUN
fbem-11077	111	16	and	and	CCONJ
fbem-11077	111	17	law	law	NOUN
fbem-11077	111	18	,	,	PUNCT
fbem-11077	111	19	2021	2021	NUM
fbem-11077	111	20	.	.	PUNCT
fbem-11077	112	1	doi	doi	NOUN
fbem-11077	112	2	:	:	PUNCT
fbem-11077	112	3	10.27660/	10.27660/	NUM
fbem-11077	112	4	d.cnki.gzczu.2021.002222	d.cnki.gzczu.2021.002222	NOUN
fbem-11077	112	5	.	.	PUNCT
fbem-11077	113	1	[	[	X
fbem-11077	113	2	5	5	NUM
fbem-11077	113	3	]	]	X
fbem-11077	113	4	fei	fei	PROPN
fbem-11077	113	5	ling	ling	PROPN
fbem-11077	113	6	,	,	PUNCT
fbem-11077	113	7	yanan	yanan	PROPN
fbem-11077	113	8	li.integrated	li.integrate	VERB
fbem-11077	113	9	learning	learn	VERB
fbem-11077	113	10	algorithm	algorithm	PROPN
fbem-11077	113	11	based	base	VERB
fbem-11077	113	12	house	house	PROPN
fbem-11077	113	13	price	price	NOUN
fbem-11077	113	14	prediction	prediction	NOUN
fbem-11077	113	15	model[j].information	model[j].information	NOUN
fbem-11077	113	16	&	&	CCONJ
fbem-11077	113	17	computer	computer	NOUN
fbem-11077	113	18	,	,	PUNCT
fbem-11077	113	19	2022	2022	NUM
fbem-11077	113	20	,	,	PUNCT
fbem-11077	113	21	34(22	34(22	NUM
fbem-11077	113	22	):	):	PUNCT
fbem-11077	113	23	96	96	NUM
fbem-11077	113	24	-	-	SYM
fbem-11077	113	25	100	100	NUM
fbem-11077	113	26	.	.	PUNCT