id	sid	tid	token	lemma	pos
aiti-8492	1	1	3___aiti#8492_in	3___aiti#8492_in	NUM
aiti-8492	1	2	press_20211213	press_20211213	NOUN
aiti-8492	1	3	advances	advance	NOUN
aiti-8492	1	4	in	in	ADP
aiti-8492	1	5	technology	technology	NOUN
aiti-8492	1	6	innovation	innovation	NOUN
aiti-8492	1	7	,	,	PUNCT
aiti-8492	1	8	vol	vol	NOUN
aiti-8492	1	9	.	.	PROPN
aiti-8492	1	10	7	7	NUM
aiti-8492	1	11	,	,	PUNCT
aiti-8492	1	12	no	no	INTJ
aiti-8492	1	13	.	.	NOUN
aiti-8492	1	14	1	1	NUM
aiti-8492	1	15	,	,	PUNCT
aiti-8492	1	16	2022	2022	NUM
aiti-8492	1	17	,	,	PUNCT
aiti-8492	1	18	pp	pp	ADJ
aiti-8492	1	19	.	.	PUNCT
aiti-8492	2	1	30	30	NUM
aiti-8492	2	2	-	-	SYM
aiti-8492	2	3	40	40	NUM
aiti-8492	2	4	clustering	cluster	VERB
aiti-8492	2	5	analysis	analysis	NOUN
aiti-8492	2	6	with	with	ADP
aiti-8492	2	7	embedding	embed	VERB
aiti-8492	2	8	vectors	vector	NOUN
aiti-8492	2	9	:	:	PUNCT
aiti-8492	2	10	an	an	DET
aiti-8492	2	11	application	application	NOUN
aiti-8492	2	12	to	to	ADP
aiti-8492	2	13	real	real	ADJ
aiti-8492	2	14	estate	estate	NOUN
aiti-8492	2	15	market	market	NOUN
aiti-8492	2	16	delineation	delineation	NOUN
aiti-8492	2	17	changro	changro	NOUN
aiti-8492	2	18	lee	lee	PROPN
aiti-8492	2	19	*	*	PUNCT
aiti-8492	2	20	department	department	PROPN
aiti-8492	2	21	of	of	ADP
aiti-8492	2	22	real	real	ADJ
aiti-8492	2	23	estate	estate	NOUN
aiti-8492	2	24	,	,	PUNCT
aiti-8492	2	25	kangwon	kangwon	VERB
aiti-8492	2	26	national	national	PROPN
aiti-8492	2	27	university	university	PROPN
aiti-8492	2	28	,	,	PUNCT
aiti-8492	2	29	chuncheon	chuncheon	NOUN
aiti-8492	2	30	,	,	PUNCT
aiti-8492	2	31	south	south	PROPN
aiti-8492	2	32	korea	korea	PROPN
aiti-8492	2	33	received	receive	VERB
aiti-8492	2	34	16	16	NUM
aiti-8492	2	35	september	september	PROPN
aiti-8492	2	36	2021	2021	NUM
aiti-8492	2	37	;	;	PUNCT
aiti-8492	2	38	received	receive	VERB
aiti-8492	2	39	in	in	ADP
aiti-8492	2	40	revised	revise	VERB
aiti-8492	2	41	form	form	NOUN
aiti-8492	2	42	15	15	NUM
aiti-8492	2	43	november	november	NOUN
aiti-8492	2	44	2021	2021	NUM
aiti-8492	2	45	;	;	PUNCT
aiti-8492	2	46	accepted	accept	VERB
aiti-8492	2	47	16	16	NUM
aiti-8492	2	48	november	november	PROPN
aiti-8492	2	49	2021	2021	NUM
aiti-8492	2	50	doi	doi	NOUN
aiti-8492	2	51	:	:	PUNCT
aiti-8492	2	52	https://doi.org/10.46604/aiti.2021.8492	https://doi.org/10.46604/aiti.2021.8492	PROPN
aiti-8492	2	53	abstract	abstract	ADV
aiti-8492	2	54	although	although	SCONJ
aiti-8492	2	55	clustering	cluster	VERB
aiti-8492	2	56	analysis	analysis	NOUN
aiti-8492	2	57	is	be	AUX
aiti-8492	2	58	a	a	DET
aiti-8492	2	59	popular	popular	ADJ
aiti-8492	2	60	tool	tool	NOUN
aiti-8492	2	61	in	in	ADP
aiti-8492	2	62	unsupervised	unsupervised	ADJ
aiti-8492	2	63	learning	learning	NOUN
aiti-8492	2	64	,	,	PUNCT
aiti-8492	2	65	it	it	PRON
aiti-8492	2	66	is	be	AUX
aiti-8492	2	67	inefficient	inefficient	ADJ
aiti-8492	2	68	for	for	ADP
aiti-8492	2	69	the	the	DET
aiti-8492	2	70	datasets	dataset	NOUN
aiti-8492	2	71	dominated	dominate	VERB
aiti-8492	2	72	by	by	ADP
aiti-8492	2	73	categorical	categorical	ADJ
aiti-8492	2	74	variables	variable	NOUN
aiti-8492	2	75	,	,	PUNCT
aiti-8492	2	76	e.g.	e.g.	ADV
aiti-8492	2	77	,	,	PUNCT
aiti-8492	2	78	real	real	ADJ
aiti-8492	2	79	estate	estate	NOUN
aiti-8492	2	80	datasets	dataset	NOUN
aiti-8492	2	81	.	.	PUNCT
aiti-8492	3	1	to	to	PART
aiti-8492	3	2	apply	apply	VERB
aiti-8492	3	3	clustering	cluster	VERB
aiti-8492	3	4	analysis	analysis	NOUN
aiti-8492	3	5	to	to	ADP
aiti-8492	3	6	real	real	ADJ
aiti-8492	3	7	estate	estate	NOUN
aiti-8492	3	8	datasets	dataset	NOUN
aiti-8492	3	9	,	,	PUNCT
aiti-8492	3	10	this	this	DET
aiti-8492	3	11	study	study	NOUN
aiti-8492	3	12	proposes	propose	VERB
aiti-8492	3	13	an	an	DET
aiti-8492	3	14	entity	entity	NOUN
aiti-8492	3	15	embedding	embed	VERB
aiti-8492	3	16	approach	approach	NOUN
aiti-8492	3	17	that	that	PRON
aiti-8492	3	18	transforms	transform	VERB
aiti-8492	3	19	categorical	categorical	ADJ
aiti-8492	3	20	variables	variable	NOUN
aiti-8492	3	21	into	into	ADP
aiti-8492	3	22	vector	vector	NOUN
aiti-8492	3	23	representations	representation	NOUN
aiti-8492	3	24	.	.	PUNCT
aiti-8492	4	1	three	three	NUM
aiti-8492	4	2	variants	variant	NOUN
aiti-8492	4	3	of	of	ADP
aiti-8492	4	4	a	a	DET
aiti-8492	4	5	clustering	clustering	ADJ
aiti-8492	4	6	algorithm	algorithm	NOUN
aiti-8492	4	7	,	,	PUNCT
aiti-8492	4	8	i.e.	i.e.	X
aiti-8492	4	9	,	,	PUNCT
aiti-8492	4	10	the	the	DET
aiti-8492	4	11	clustering	clustering	NOUN
aiti-8492	4	12	based	base	VERB
aiti-8492	4	13	on	on	ADP
aiti-8492	4	14	the	the	DET
aiti-8492	4	15	traditional	traditional	ADJ
aiti-8492	4	16	euclidean	euclidean	ADJ
aiti-8492	4	17	distance	distance	NOUN
aiti-8492	4	18	,	,	PUNCT
aiti-8492	4	19	the	the	DET
aiti-8492	4	20	gower	gower	PROPN
aiti-8492	4	21	distance	distance	NOUN
aiti-8492	4	22	,	,	PUNCT
aiti-8492	4	23	and	and	CCONJ
aiti-8492	4	24	the	the	DET
aiti-8492	4	25	embedding	embed	VERB
aiti-8492	4	26	vectors	vector	NOUN
aiti-8492	4	27	,	,	PUNCT
aiti-8492	4	28	are	be	AUX
aiti-8492	4	29	applied	apply	VERB
aiti-8492	4	30	to	to	ADP
aiti-8492	4	31	the	the	DET
aiti-8492	4	32	land	land	NOUN
aiti-8492	4	33	sales	sale	NOUN
aiti-8492	4	34	records	record	NOUN
aiti-8492	4	35	to	to	PART
aiti-8492	4	36	delineate	delineate	VERB
aiti-8492	4	37	the	the	DET
aiti-8492	4	38	real	real	ADJ
aiti-8492	4	39	estate	estate	NOUN
aiti-8492	4	40	market	market	NOUN
aiti-8492	4	41	in	in	ADP
aiti-8492	4	42	gwacheon	gwacheon	NOUN
aiti-8492	4	43	-	-	PUNCT
aiti-8492	4	44	si	si	ADJ
aiti-8492	4	45	,	,	PUNCT
aiti-8492	4	46	gyeonggi	gyeonggi	NOUN
aiti-8492	4	47	province	province	NOUN
aiti-8492	4	48	,	,	PUNCT
aiti-8492	4	49	south	south	PROPN
aiti-8492	4	50	korea	korea	PROPN
aiti-8492	4	51	.	.	PUNCT
aiti-8492	5	1	then	then	ADV
aiti-8492	5	2	,	,	PUNCT
aiti-8492	5	3	the	the	DET
aiti-8492	5	4	relevance	relevance	NOUN
aiti-8492	5	5	of	of	ADP
aiti-8492	5	6	the	the	DET
aiti-8492	5	7	resultant	resultant	NOUN
aiti-8492	5	8	submarkets	submarket	NOUN
aiti-8492	5	9	is	be	AUX
aiti-8492	5	10	evaluated	evaluate	VERB
aiti-8492	5	11	using	use	VERB
aiti-8492	5	12	the	the	DET
aiti-8492	5	13	root	root	NOUN
aiti-8492	5	14	mean	mean	NOUN
aiti-8492	5	15	squared	square	VERB
aiti-8492	5	16	errors	error	NOUN
aiti-8492	5	17	(	(	PUNCT
aiti-8492	5	18	rmse	rmse	NOUN
aiti-8492	5	19	)	)	PUNCT
aiti-8492	5	20	obtained	obtain	VERB
aiti-8492	5	21	from	from	ADP
aiti-8492	5	22	a	a	DET
aiti-8492	5	23	hedonic	hedonic	ADJ
aiti-8492	5	24	pricing	pricing	NOUN
aiti-8492	5	25	model	model	NOUN
aiti-8492	5	26	.	.	PUNCT
aiti-8492	6	1	the	the	DET
aiti-8492	6	2	results	result	NOUN
aiti-8492	6	3	show	show	VERB
aiti-8492	6	4	that	that	SCONJ
aiti-8492	6	5	the	the	DET
aiti-8492	6	6	rmse	rmse	NOUN
aiti-8492	6	7	in	in	ADP
aiti-8492	6	8	the	the	DET
aiti-8492	6	9	embedding	embed	VERB
aiti-8492	6	10	vector	vector	NOUN
aiti-8492	6	11	-	-	PUNCT
aiti-8492	6	12	based	base	VERB
aiti-8492	6	13	algorithm	algorithm	NOUN
aiti-8492	6	14	decreases	decrease	VERB
aiti-8492	6	15	substantially	substantially	ADV
aiti-8492	6	16	from	from	ADP
aiti-8492	6	17	0.076	0.076	NUM
aiti-8492	6	18	-	-	PUNCT
aiti-8492	6	19	0.077	0.077	NUM
aiti-8492	6	20	to	to	ADP
aiti-8492	6	21	0.069	0.069	NUM
aiti-8492	6	22	.	.	PUNCT
aiti-8492	7	1	this	this	DET
aiti-8492	7	2	study	study	NOUN
aiti-8492	7	3	shows	show	VERB
aiti-8492	7	4	that	that	SCONJ
aiti-8492	7	5	the	the	DET
aiti-8492	7	6	clustering	cluster	VERB
aiti-8492	7	7	algorithm	algorithm	NOUN
aiti-8492	7	8	empowered	empower	VERB
aiti-8492	7	9	by	by	ADP
aiti-8492	7	10	embedding	embed	VERB
aiti-8492	7	11	vectors	vector	NOUN
aiti-8492	7	12	outperforms	outperform	VERB
aiti-8492	7	13	the	the	DET
aiti-8492	7	14	conventional	conventional	ADJ
aiti-8492	7	15	algorithms	algorithm	NOUN
aiti-8492	7	16	,	,	PUNCT
aiti-8492	7	17	thereby	thereby	ADV
aiti-8492	7	18	enhancing	enhance	VERB
aiti-8492	7	19	the	the	DET
aiti-8492	7	20	relevance	relevance	NOUN
aiti-8492	7	21	of	of	ADP
aiti-8492	7	22	the	the	DET
aiti-8492	7	23	delineated	delineated	ADJ
aiti-8492	7	24	submarkets	submarket	NOUN
aiti-8492	7	25	.	.	PUNCT
aiti-8492	8	1	keywords	keyword	NOUN
aiti-8492	8	2	:	:	PUNCT
aiti-8492	8	3	clustering	cluster	VERB
aiti-8492	8	4	,	,	PUNCT
aiti-8492	8	5	categorical	categorical	ADJ
aiti-8492	8	6	data	datum	NOUN
aiti-8492	8	7	,	,	PUNCT
aiti-8492	8	8	high	high	ADJ
aiti-8492	8	9	-	-	PUNCT
aiti-8492	8	10	cardinality	cardinality	NOUN
aiti-8492	8	11	,	,	PUNCT
aiti-8492	8	12	entity	entity	NOUN
aiti-8492	8	13	embedding	embedding	NOUN
aiti-8492	8	14	,	,	PUNCT
aiti-8492	8	15	market	market	NOUN
aiti-8492	8	16	delineation	delineation	NOUN
aiti-8492	8	17	1	1	NUM
aiti-8492	8	18	.	.	PUNCT
aiti-8492	8	19	introduction	introduction	NOUN
aiti-8492	8	20	machine	machine	NOUN
aiti-8492	8	21	learning	learning	NOUN
aiti-8492	8	22	is	be	AUX
aiti-8492	8	23	rapidly	rapidly	ADV
aiti-8492	8	24	expanding	expand	VERB
aiti-8492	8	25	to	to	ADP
aiti-8492	8	26	various	various	ADJ
aiti-8492	8	27	applications	application	NOUN
aiti-8492	8	28	;	;	PUNCT
aiti-8492	8	29	particularly	particularly	ADV
aiti-8492	8	30	,	,	PUNCT
aiti-8492	8	31	it	it	PRON
aiti-8492	8	32	has	have	AUX
aiti-8492	8	33	been	be	AUX
aiti-8492	8	34	used	use	VERB
aiti-8492	8	35	with	with	ADP
aiti-8492	8	36	great	great	ADJ
aiti-8492	8	37	success	success	NOUN
aiti-8492	8	38	in	in	ADP
aiti-8492	8	39	several	several	ADJ
aiti-8492	8	40	applications	application	NOUN
aiti-8492	8	41	such	such	ADJ
aiti-8492	8	42	as	as	ADP
aiti-8492	8	43	computer	computer	NOUN
aiti-8492	8	44	vision	vision	NOUN
aiti-8492	8	45	,	,	PUNCT
aiti-8492	8	46	natural	natural	ADJ
aiti-8492	8	47	language	language	NOUN
aiti-8492	8	48	processing	processing	NOUN
aiti-8492	8	49	,	,	PUNCT
aiti-8492	8	50	speech	speech	NOUN
aiti-8492	8	51	recognition	recognition	NOUN
aiti-8492	8	52	,	,	PUNCT
aiti-8492	8	53	and	and	CCONJ
aiti-8492	8	54	time	time	NOUN
aiti-8492	8	55	-	-	PUNCT
aiti-8492	8	56	series	series	NOUN
aiti-8492	8	57	forecasting	forecasting	NOUN
aiti-8492	9	1	[	[	X
aiti-8492	9	2	1	1	NUM
aiti-8492	9	3	-	-	SYM
aiti-8492	9	4	4	4	NUM
aiti-8492	9	5	]	]	PUNCT
aiti-8492	9	6	.	.	PUNCT
aiti-8492	10	1	there	there	PRON
aiti-8492	10	2	are	be	VERB
aiti-8492	10	3	two	two	NUM
aiti-8492	10	4	main	main	ADJ
aiti-8492	10	5	types	type	NOUN
aiti-8492	10	6	of	of	ADP
aiti-8492	10	7	tasks	task	NOUN
aiti-8492	10	8	within	within	ADP
aiti-8492	10	9	the	the	DET
aiti-8492	10	10	field	field	NOUN
aiti-8492	10	11	of	of	ADP
aiti-8492	10	12	machine	machine	NOUN
aiti-8492	10	13	learning	learning	NOUN
aiti-8492	10	14	:	:	PUNCT
aiti-8492	10	15	supervised	supervised	ADJ
aiti-8492	10	16	and	and	CCONJ
aiti-8492	10	17	unsupervised	unsupervised	ADJ
aiti-8492	10	18	learning	learning	NOUN
aiti-8492	10	19	.	.	PUNCT
aiti-8492	11	1	in	in	ADP
aiti-8492	11	2	a	a	DET
aiti-8492	11	3	supervised	supervised	ADJ
aiti-8492	11	4	learning	learning	NOUN
aiti-8492	11	5	framework	framework	NOUN
aiti-8492	11	6	,	,	PUNCT
aiti-8492	11	7	the	the	DET
aiti-8492	11	8	algorithm	algorithm	NOUN
aiti-8492	11	9	learns	learn	VERB
aiti-8492	11	10	on	on	ADP
aiti-8492	11	11	a	a	DET
aiti-8492	11	12	labeled	label	VERB
aiti-8492	11	13	dataset	dataset	NOUN
aiti-8492	11	14	.	.	PUNCT
aiti-8492	12	1	however	however	ADV
aiti-8492	12	2	,	,	PUNCT
aiti-8492	12	3	an	an	DET
aiti-8492	12	4	unsupervised	unsupervised	ADJ
aiti-8492	12	5	learning	learning	NOUN
aiti-8492	12	6	framework	framework	NOUN
aiti-8492	12	7	provides	provide	VERB
aiti-8492	12	8	unlabeled	unlabeled	ADJ
aiti-8492	12	9	data	datum	NOUN
aiti-8492	12	10	that	that	PRON
aiti-8492	12	11	the	the	DET
aiti-8492	12	12	algorithm	algorithm	NOUN
aiti-8492	12	13	attempts	attempt	VERB
aiti-8492	12	14	to	to	PART
aiti-8492	12	15	learn	learn	VERB
aiti-8492	12	16	by	by	ADP
aiti-8492	12	17	extracting	extract	VERB
aiti-8492	12	18	meaningful	meaningful	ADJ
aiti-8492	12	19	features	feature	NOUN
aiti-8492	12	20	without	without	ADP
aiti-8492	12	21	any	any	DET
aiti-8492	12	22	guidance	guidance	NOUN
aiti-8492	12	23	from	from	ADP
aiti-8492	12	24	the	the	DET
aiti-8492	12	25	labels	label	NOUN
aiti-8492	12	26	.	.	PUNCT
aiti-8492	13	1	clustering	clustering	NOUN
aiti-8492	13	2	is	be	AUX
aiti-8492	13	3	a	a	DET
aiti-8492	13	4	de	de	X
aiti-8492	13	5	facto	facto	X
aiti-8492	13	6	standard	standard	ADJ
aiti-8492	13	7	tool	tool	NOUN
aiti-8492	13	8	employed	employ	VERB
aiti-8492	13	9	in	in	ADP
aiti-8492	13	10	unsupervised	unsupervised	ADJ
aiti-8492	13	11	learning	learning	NOUN
aiti-8492	13	12	and	and	CCONJ
aiti-8492	13	13	is	be	AUX
aiti-8492	13	14	extensively	extensively	ADV
aiti-8492	13	15	used	use	VERB
aiti-8492	13	16	as	as	ADP
aiti-8492	13	17	a	a	DET
aiti-8492	13	18	technique	technique	NOUN
aiti-8492	13	19	for	for	ADP
aiti-8492	13	20	discovering	discover	VERB
aiti-8492	13	21	hidden	hide	VERB
aiti-8492	13	22	patterns	pattern	NOUN
aiti-8492	13	23	in	in	ADP
aiti-8492	13	24	data	datum	NOUN
aiti-8492	13	25	,	,	PUNCT
aiti-8492	13	26	such	such	ADJ
aiti-8492	13	27	as	as	ADP
aiti-8492	13	28	consumer	consumer	NOUN
aiti-8492	13	29	groups	group	NOUN
aiti-8492	13	30	based	base	VERB
aiti-8492	13	31	on	on	ADP
aiti-8492	13	32	demographic	demographic	ADJ
aiti-8492	13	33	profiles	profile	NOUN
aiti-8492	13	34	,	,	PUNCT
aiti-8492	13	35	or	or	CCONJ
aiti-8492	13	36	real	real	ADJ
aiti-8492	13	37	estate	estate	NOUN
aiti-8492	13	38	submarkets	submarket	NOUN
aiti-8492	13	39	based	base	VERB
aiti-8492	13	40	on	on	ADP
aiti-8492	13	41	property	property	NOUN
aiti-8492	13	42	characteristics	characteristic	NOUN
aiti-8492	13	43	[	[	X
aiti-8492	13	44	5	5	NUM
aiti-8492	13	45	]	]	PUNCT
aiti-8492	13	46	.	.	PUNCT
aiti-8492	14	1	although	although	SCONJ
aiti-8492	14	2	clustering	cluster	VERB
aiti-8492	14	3	analysis	analysis	NOUN
aiti-8492	14	4	is	be	AUX
aiti-8492	14	5	a	a	DET
aiti-8492	14	6	popular	popular	ADJ
aiti-8492	14	7	tool	tool	NOUN
aiti-8492	14	8	in	in	ADP
aiti-8492	14	9	unsupervised	unsupervised	ADJ
aiti-8492	14	10	learning	learning	NOUN
aiti-8492	14	11	,	,	PUNCT
aiti-8492	14	12	it	it	PRON
aiti-8492	14	13	experiences	experience	VERB
aiti-8492	14	14	difficulty	difficulty	NOUN
aiti-8492	14	15	when	when	SCONJ
aiti-8492	14	16	categorical	categorical	ADJ
aiti-8492	14	17	variables	variable	NOUN
aiti-8492	14	18	are	be	AUX
aiti-8492	14	19	dominant	dominant	ADJ
aiti-8492	14	20	in	in	ADP
aiti-8492	14	21	the	the	DET
aiti-8492	14	22	dataset	dataset	NOUN
aiti-8492	14	23	.	.	PUNCT
aiti-8492	15	1	clustering	clustering	NOUN
aiti-8492	15	2	is	be	AUX
aiti-8492	15	3	the	the	DET
aiti-8492	15	4	process	process	NOUN
aiti-8492	15	5	of	of	ADP
aiti-8492	15	6	grouping	group	VERB
aiti-8492	15	7	similar	similar	ADJ
aiti-8492	15	8	data	datum	NOUN
aiti-8492	15	9	points	point	NOUN
aiti-8492	15	10	.	.	PUNCT
aiti-8492	16	1	the	the	DET
aiti-8492	16	2	similarity	similarity	NOUN
aiti-8492	16	3	between	between	ADP
aiti-8492	16	4	data	datum	NOUN
aiti-8492	16	5	points	point	NOUN
aiti-8492	16	6	is	be	AUX
aiti-8492	16	7	calculated	calculate	VERB
aiti-8492	16	8	by	by	ADP
aiti-8492	16	9	a	a	DET
aiti-8492	16	10	distance	distance	NOUN
aiti-8492	16	11	measure	measure	NOUN
aiti-8492	16	12	,	,	PUNCT
aiti-8492	16	13	which	which	PRON
aiti-8492	16	14	is	be	AUX
aiti-8492	16	15	essentially	essentially	ADV
aiti-8492	16	16	based	base	VERB
aiti-8492	16	17	on	on	ADP
aiti-8492	16	18	the	the	DET
aiti-8492	16	19	geometry	geometry	NOUN
aiti-8492	16	20	and	and	CCONJ
aiti-8492	16	21	distance	distance	NOUN
aiti-8492	16	22	in	in	ADP
aiti-8492	16	23	the	the	DET
aiti-8492	16	24	euclidean	euclidean	ADJ
aiti-8492	16	25	space	space	NOUN
aiti-8492	16	26	.	.	PUNCT
aiti-8492	17	1	this	this	DET
aiti-8492	17	2	concept	concept	NOUN
aiti-8492	17	3	of	of	ADP
aiti-8492	17	4	physical	physical	ADJ
aiti-8492	17	5	distance	distance	NOUN
aiti-8492	17	6	is	be	AUX
aiti-8492	17	7	well	well	ADV
aiti-8492	17	8	-	-	PUNCT
aiti-8492	17	9	suited	suit	VERB
aiti-8492	17	10	to	to	ADP
aiti-8492	17	11	continuous	continuous	ADJ
aiti-8492	17	12	data	datum	NOUN
aiti-8492	17	13	,	,	PUNCT
aiti-8492	17	14	but	but	CCONJ
aiti-8492	17	15	it	it	PRON
aiti-8492	17	16	is	be	AUX
aiti-8492	17	17	not	not	PART
aiti-8492	17	18	directly	directly	ADV
aiti-8492	17	19	applicable	applicable	ADJ
aiti-8492	17	20	to	to	ADP
aiti-8492	17	21	categorical	categorical	ADJ
aiti-8492	17	22	data	datum	NOUN
aiti-8492	17	23	.	.	PUNCT
aiti-8492	18	1	for	for	ADP
aiti-8492	18	2	instance	instance	NOUN
aiti-8492	18	3	,	,	PUNCT
aiti-8492	18	4	categorical	categorical	ADJ
aiti-8492	18	5	data	datum	NOUN
aiti-8492	18	6	such	such	ADJ
aiti-8492	18	7	as	as	ADP
aiti-8492	18	8	the	the	DET
aiti-8492	18	9	color	color	NOUN
aiti-8492	18	10	of	of	ADP
aiti-8492	18	11	products	product	NOUN
aiti-8492	18	12	with	with	ADP
aiti-8492	18	13	each	each	DET
aiti-8492	18	14	element	element	NOUN
aiti-8492	18	15	being	be	AUX
aiti-8492	18	16	black	black	ADJ
aiti-8492	18	17	,	,	PUNCT
aiti-8492	18	18	blue	blue	ADJ
aiti-8492	18	19	,	,	PUNCT
aiti-8492	18	20	and	and	CCONJ
aiti-8492	18	21	red	red	NOUN
aiti-8492	18	22	can	can	AUX
aiti-8492	18	23	not	not	PART
aiti-8492	18	24	be	be	AUX
aiti-8492	18	25	clustered	cluster	VERB
aiti-8492	18	26	based	base	VERB
aiti-8492	18	27	on	on	ADP
aiti-8492	18	28	the	the	DET
aiti-8492	18	29	distance	distance	NOUN
aiti-8492	18	30	between	between	ADP
aiti-8492	18	31	the	the	DET
aiti-8492	18	32	three	three	NUM
aiti-8492	18	33	colors	color	NOUN
aiti-8492	18	34	.	.	PUNCT
aiti-8492	19	1	several	several	ADJ
aiti-8492	19	2	methods	method	NOUN
aiti-8492	19	3	,	,	PUNCT
aiti-8492	19	4	such	such	ADJ
aiti-8492	19	5	as	as	ADP
aiti-8492	19	6	one	one	NUM
aiti-8492	19	7	-	-	PUNCT
aiti-8492	19	8	hot	hot	ADJ
aiti-8492	19	9	encoding	encoding	NOUN
aiti-8492	19	10	approaches	approach	NOUN
aiti-8492	19	11	and	and	CCONJ
aiti-8492	19	12	specialized	specialized	ADJ
aiti-8492	19	13	distance	distance	NOUN
aiti-8492	19	14	metrics	metric	NOUN
aiti-8492	19	15	for	for	ADP
aiti-8492	19	16	categorical	categorical	ADJ
aiti-8492	19	17	data	datum	NOUN
aiti-8492	19	18	,	,	PUNCT
aiti-8492	19	19	have	have	AUX
aiti-8492	19	20	been	be	AUX
aiti-8492	19	21	proposed	propose	VERB
aiti-8492	19	22	in	in	ADP
aiti-8492	19	23	the	the	DET
aiti-8492	19	24	literature	literature	NOUN
aiti-8492	19	25	to	to	PART
aiti-8492	19	26	solve	solve	VERB
aiti-8492	19	27	this	this	DET
aiti-8492	19	28	problem	problem	NOUN
aiti-8492	19	29	;	;	PUNCT
aiti-8492	19	30	however	however	ADV
aiti-8492	19	31	,	,	PUNCT
aiti-8492	19	32	these	these	DET
aiti-8492	19	33	methods	method	NOUN
aiti-8492	19	34	have	have	AUX
aiti-8492	19	35	not	not	PART
aiti-8492	19	36	performed	perform	VERB
aiti-8492	19	37	satisfactorily	satisfactorily	ADV
aiti-8492	19	38	.	.	PUNCT
aiti-8492	20	1	this	this	DET
aiti-8492	20	2	study	study	NOUN
aiti-8492	20	3	attempts	attempt	VERB
aiti-8492	20	4	to	to	PART
aiti-8492	20	5	overcome	overcome	VERB
aiti-8492	20	6	this	this	DET
aiti-8492	20	7	limitation	limitation	NOUN
aiti-8492	20	8	by	by	ADP
aiti-8492	20	9	using	use	VERB
aiti-8492	20	10	an	an	DET
aiti-8492	20	11	entity	entity	NOUN
aiti-8492	20	12	embedding	embed	VERB
aiti-8492	20	13	approach	approach	NOUN
aiti-8492	20	14	.	.	PUNCT
aiti-8492	21	1	the	the	DET
aiti-8492	21	2	entity	entity	NOUN
aiti-8492	21	3	embedding	embed	VERB
aiti-8492	21	4	maps	map	NOUN
aiti-8492	21	5	categorical	categorical	ADJ
aiti-8492	21	6	data	datum	NOUN
aiti-8492	21	7	into	into	ADP
aiti-8492	21	8	metric	metric	ADJ
aiti-8492	21	9	spaces	space	NOUN
aiti-8492	21	10	,	,	PUNCT
aiti-8492	21	11	such	such	ADJ
aiti-8492	21	12	as	as	ADP
aiti-8492	21	13	the	the	DET
aiti-8492	21	14	euclidean	euclidean	ADJ
aiti-8492	21	15	space	space	NOUN
aiti-8492	21	16	,	,	PUNCT
aiti-8492	21	17	and	and	CCONJ
aiti-8492	21	18	thus	thus	ADV
aiti-8492	21	19	can	can	AUX
aiti-8492	21	20	alleviate	alleviate	VERB
aiti-8492	21	21	the	the	DET
aiti-8492	21	22	discrete	discrete	ADJ
aiti-8492	21	23	properties	property	NOUN
aiti-8492	21	24	inherent	inherent	ADJ
aiti-8492	21	25	in	in	ADP
aiti-8492	21	26	categorical	categorical	ADJ
aiti-8492	21	27	data	datum	NOUN
aiti-8492	21	28	.	.	PUNCT
aiti-8492	22	1	*	*	PUNCT
aiti-8492	22	2	corresponding	correspond	VERB
aiti-8492	22	3	author	author	NOUN
aiti-8492	22	4	.	.	PUNCT
aiti-8492	23	1	e	e	X
aiti-8492	23	2	-	-	NOUN
aiti-8492	23	3	mail	mail	NOUN
aiti-8492	23	4	address	address	NOUN
aiti-8492	23	5	:	:	PUNCT
aiti-8492	23	6	spatialstat@naver.com	spatialstat@naver.com	X
aiti-8492	24	1	tel	tel	PROPN
aiti-8492	24	2	.	.	PUNCT
aiti-8492	24	3	:	:	PUNCT
aiti-8492	25	1	+82	+82	NUM
aiti-8492	25	2	-	-	PUNCT
aiti-8492	25	3	33	33	NUM
aiti-8492	25	4	-	-	PUNCT
aiti-8492	25	5	250	250	NUM
aiti-8492	25	6	-	-	PUNCT
aiti-8492	25	7	6833	6833	NUM
aiti-8492	25	8	advances	advance	NOUN
aiti-8492	25	9	in	in	ADP
aiti-8492	25	10	technology	technology	NOUN
aiti-8492	25	11	innovation	innovation	NOUN
aiti-8492	25	12	,	,	PUNCT
aiti-8492	25	13	vol	vol	NOUN
aiti-8492	25	14	.	.	PROPN
aiti-8492	25	15	7	7	NUM
aiti-8492	25	16	,	,	PUNCT
aiti-8492	25	17	no	no	INTJ
aiti-8492	25	18	.	.	NOUN
aiti-8492	25	19	1	1	NUM
aiti-8492	25	20	,	,	PUNCT
aiti-8492	25	21	2022	2022	NUM
aiti-8492	25	22	,	,	PUNCT
aiti-8492	25	23	pp	pp	ADJ
aiti-8492	25	24	.	.	PUNCT
aiti-8492	26	1	30	30	NUM
aiti-8492	26	2	-	-	SYM
aiti-8492	26	3	40	40	NUM
aiti-8492	26	4	this	this	DET
aiti-8492	26	5	study	study	NOUN
aiti-8492	26	6	offers	offer	VERB
aiti-8492	26	7	a	a	DET
aiti-8492	26	8	way	way	NOUN
aiti-8492	26	9	to	to	PART
aiti-8492	26	10	enhance	enhance	VERB
aiti-8492	26	11	the	the	DET
aiti-8492	26	12	clustering	clustering	ADJ
aiti-8492	26	13	performance	performance	NOUN
aiti-8492	26	14	via	via	ADP
aiti-8492	26	15	an	an	DET
aiti-8492	26	16	entity	entity	NOUN
aiti-8492	26	17	embedding	embed	VERB
aiti-8492	26	18	approach	approach	NOUN
aiti-8492	26	19	,	,	PUNCT
aiti-8492	26	20	which	which	PRON
aiti-8492	26	21	has	have	AUX
aiti-8492	26	22	been	be	AUX
aiti-8492	26	23	actively	actively	ADV
aiti-8492	26	24	used	use	VERB
aiti-8492	26	25	in	in	ADP
aiti-8492	26	26	the	the	DET
aiti-8492	26	27	field	field	NOUN
aiti-8492	26	28	of	of	ADP
aiti-8492	26	29	machine	machine	NOUN
aiti-8492	26	30	learning	learning	NOUN
aiti-8492	26	31	,	,	PUNCT
aiti-8492	26	32	particularly	particularly	ADV
aiti-8492	26	33	in	in	ADP
aiti-8492	26	34	natural	natural	ADJ
aiti-8492	26	35	language	language	NOUN
aiti-8492	26	36	processing	processing	NOUN
aiti-8492	26	37	tasks	task	NOUN
aiti-8492	26	38	.	.	PUNCT
aiti-8492	27	1	first	first	ADV
aiti-8492	27	2	,	,	PUNCT
aiti-8492	27	3	a	a	DET
aiti-8492	27	4	study	study	NOUN
aiti-8492	27	5	area	area	NOUN
aiti-8492	27	6	is	be	AUX
aiti-8492	27	7	chosen	choose	VERB
aiti-8492	27	8	to	to	PART
aiti-8492	27	9	delineate	delineate	VERB
aiti-8492	27	10	the	the	DET
aiti-8492	27	11	real	real	ADJ
aiti-8492	27	12	estate	estate	NOUN
aiti-8492	27	13	market	market	NOUN
aiti-8492	27	14	.	.	PUNCT
aiti-8492	28	1	because	because	SCONJ
aiti-8492	28	2	the	the	DET
aiti-8492	28	3	real	real	ADJ
aiti-8492	28	4	estate	estate	NOUN
aiti-8492	28	5	market	market	NOUN
aiti-8492	28	6	is	be	AUX
aiti-8492	28	7	always	always	ADV
aiti-8492	28	8	localized	localize	VERB
aiti-8492	28	9	,	,	PUNCT
aiti-8492	28	10	it	it	PRON
aiti-8492	28	11	is	be	AUX
aiti-8492	28	12	routine	routine	ADJ
aiti-8492	28	13	to	to	PART
aiti-8492	28	14	segment	segment	VERB
aiti-8492	28	15	the	the	DET
aiti-8492	28	16	market	market	NOUN
aiti-8492	28	17	before	before	ADP
aiti-8492	28	18	performing	perform	VERB
aiti-8492	28	19	the	the	DET
aiti-8492	28	20	main	main	ADJ
aiti-8492	28	21	tasks	task	NOUN
aiti-8492	28	22	,	,	PUNCT
aiti-8492	28	23	such	such	ADJ
aiti-8492	28	24	as	as	ADP
aiti-8492	28	25	property	property	NOUN
aiti-8492	28	26	price	price	NOUN
aiti-8492	28	27	estimation	estimation	NOUN
aiti-8492	28	28	for	for	ADP
aiti-8492	28	29	tax	tax	NOUN
aiti-8492	28	30	assessment	assessment	NOUN
aiti-8492	28	31	[	[	X
aiti-8492	28	32	6	6	NUM
aiti-8492	28	33	]	]	PUNCT
aiti-8492	28	34	.	.	PUNCT
aiti-8492	29	1	second	second	ADJ
aiti-8492	29	2	,	,	PUNCT
aiti-8492	29	3	to	to	PART
aiti-8492	29	4	construct	construct	VERB
aiti-8492	29	5	appropriate	appropriate	ADJ
aiti-8492	29	6	submarkets	submarket	NOUN
aiti-8492	29	7	within	within	ADP
aiti-8492	29	8	the	the	DET
aiti-8492	29	9	study	study	NOUN
aiti-8492	29	10	area	area	NOUN
aiti-8492	29	11	,	,	PUNCT
aiti-8492	29	12	the	the	DET
aiti-8492	29	13	sales	sale	NOUN
aiti-8492	29	14	records	record	NOUN
aiti-8492	29	15	of	of	ADP
aiti-8492	29	16	lots	lot	NOUN
aiti-8492	29	17	sold	sell	VERB
aiti-8492	29	18	from	from	ADP
aiti-8492	29	19	2016	2016	NUM
aiti-8492	29	20	to	to	ADP
aiti-8492	29	21	2018	2018	NUM
aiti-8492	29	22	are	be	AUX
aiti-8492	29	23	analyzed	analyze	VERB
aiti-8492	29	24	and	and	CCONJ
aiti-8492	29	25	grouped	group	VERB
aiti-8492	29	26	by	by	ADP
aiti-8492	29	27	using	use	VERB
aiti-8492	29	28	several	several	ADJ
aiti-8492	29	29	variants	variant	NOUN
aiti-8492	29	30	of	of	ADP
aiti-8492	29	31	a	a	DET
aiti-8492	29	32	k	k	NOUN
aiti-8492	29	33	-	-	PUNCT
aiti-8492	29	34	means	mean	VERB
aiti-8492	29	35	clustering	clustering	ADJ
aiti-8492	29	36	algorithm	algorithm	NOUN
aiti-8492	29	37	,	,	PUNCT
aiti-8492	29	38	respectively	respectively	ADV
aiti-8492	29	39	.	.	PUNCT
aiti-8492	30	1	an	an	DET
aiti-8492	30	2	entity	entity	NOUN
aiti-8492	30	3	embedding	embed	VERB
aiti-8492	30	4	approach	approach	NOUN
aiti-8492	30	5	is	be	AUX
aiti-8492	30	6	applied	apply	VERB
aiti-8492	30	7	to	to	PART
aiti-8492	30	8	handle	handle	VERB
aiti-8492	30	9	high	high	ADJ
aiti-8492	30	10	-	-	PUNCT
aiti-8492	30	11	cardinality	cardinality	NOUN
aiti-8492	30	12	variables	variable	NOUN
aiti-8492	30	13	when	when	SCONJ
aiti-8492	30	14	performing	perform	VERB
aiti-8492	30	15	clustering	clustering	ADJ
aiti-8492	30	16	analysis	analysis	NOUN
aiti-8492	30	17	.	.	PUNCT
aiti-8492	31	1	finally	finally	ADV
aiti-8492	31	2	,	,	PUNCT
aiti-8492	31	3	the	the	DET
aiti-8492	31	4	predictive	predictive	ADJ
aiti-8492	31	5	accuracy	accuracy	NOUN
aiti-8492	31	6	of	of	ADP
aiti-8492	31	7	different	different	ADJ
aiti-8492	31	8	sets	set	NOUN
aiti-8492	31	9	of	of	ADP
aiti-8492	31	10	submarkets	submarket	NOUN
aiti-8492	31	11	created	create	VERB
aiti-8492	31	12	earlier	early	ADV
aiti-8492	31	13	is	be	AUX
aiti-8492	31	14	compared	compare	VERB
aiti-8492	31	15	in	in	ADP
aiti-8492	31	16	the	the	DET
aiti-8492	31	17	context	context	NOUN
aiti-8492	31	18	of	of	ADP
aiti-8492	31	19	property	property	NOUN
aiti-8492	31	20	valuation	valuation	NOUN
aiti-8492	31	21	.	.	PUNCT
aiti-8492	32	1	the	the	DET
aiti-8492	32	2	contribution	contribution	NOUN
aiti-8492	32	3	of	of	ADP
aiti-8492	32	4	this	this	DET
aiti-8492	32	5	study	study	NOUN
aiti-8492	32	6	can	can	AUX
aiti-8492	32	7	be	be	AUX
aiti-8492	32	8	summarized	summarize	VERB
aiti-8492	32	9	as	as	SCONJ
aiti-8492	32	10	follows	follow	VERB
aiti-8492	32	11	:	:	PUNCT
aiti-8492	32	12	(	(	PUNCT
aiti-8492	32	13	1	1	X
aiti-8492	32	14	)	)	PUNCT
aiti-8492	32	15	by	by	ADP
aiti-8492	32	16	adopting	adopt	VERB
aiti-8492	32	17	the	the	DET
aiti-8492	32	18	framework	framework	NOUN
aiti-8492	32	19	proposed	propose	VERB
aiti-8492	32	20	in	in	ADP
aiti-8492	32	21	this	this	DET
aiti-8492	32	22	study	study	NOUN
aiti-8492	32	23	,	,	PUNCT
aiti-8492	32	24	clustering	cluster	VERB
aiti-8492	32	25	algorithms	algorithm	NOUN
aiti-8492	32	26	can	can	AUX
aiti-8492	32	27	be	be	AUX
aiti-8492	32	28	utilized	utilize	VERB
aiti-8492	32	29	in	in	ADP
aiti-8492	32	30	a	a	DET
aiti-8492	32	31	more	more	ADV
aiti-8492	32	32	efficient	efficient	ADJ
aiti-8492	32	33	manner	manner	NOUN
aiti-8492	32	34	when	when	SCONJ
aiti-8492	32	35	applied	apply	VERB
aiti-8492	32	36	to	to	ADP
aiti-8492	32	37	the	the	DET
aiti-8492	32	38	tasks	task	NOUN
aiti-8492	32	39	in	in	ADP
aiti-8492	32	40	which	which	PRON
aiti-8492	32	41	high	high	ADJ
aiti-8492	32	42	-	-	PUNCT
aiti-8492	32	43	cardinality	cardinality	NOUN
aiti-8492	32	44	categorical	categorical	ADJ
aiti-8492	32	45	data	datum	NOUN
aiti-8492	32	46	are	be	AUX
aiti-8492	32	47	dominant	dominant	ADJ
aiti-8492	32	48	.	.	PUNCT
aiti-8492	33	1	(	(	PUNCT
aiti-8492	33	2	2	2	X
aiti-8492	33	3	)	)	PUNCT
aiti-8492	33	4	this	this	DET
aiti-8492	33	5	study	study	NOUN
aiti-8492	33	6	shows	show	VERB
aiti-8492	33	7	that	that	SCONJ
aiti-8492	33	8	the	the	DET
aiti-8492	33	9	entity	entity	NOUN
aiti-8492	33	10	embedding	embed	VERB
aiti-8492	33	11	approach	approach	NOUN
aiti-8492	33	12	can	can	AUX
aiti-8492	33	13	be	be	AUX
aiti-8492	33	14	used	use	VERB
aiti-8492	33	15	effectively	effectively	ADV
aiti-8492	33	16	in	in	ADP
aiti-8492	33	17	processing	process	VERB
aiti-8492	33	18	structured	structured	ADJ
aiti-8492	33	19	data	datum	NOUN
aiti-8492	33	20	,	,	PUNCT
aiti-8492	33	21	i.e.	i.e.	X
aiti-8492	33	22	,	,	PUNCT
aiti-8492	33	23	traditional	traditional	ADJ
aiti-8492	33	24	tabular	tabular	NOUN
aiti-8492	33	25	format	format	NOUN
aiti-8492	33	26	data	datum	NOUN
aiti-8492	33	27	with	with	ADP
aiti-8492	33	28	rows	row	NOUN
aiti-8492	33	29	and	and	CCONJ
aiti-8492	33	30	columns	column	NOUN
aiti-8492	33	31	,	,	PUNCT
aiti-8492	33	32	beyond	beyond	ADP
aiti-8492	33	33	the	the	DET
aiti-8492	33	34	field	field	NOUN
aiti-8492	33	35	of	of	ADP
aiti-8492	33	36	unstructured	unstructured	ADJ
aiti-8492	33	37	data	datum	NOUN
aiti-8492	33	38	,	,	PUNCT
aiti-8492	33	39	such	such	ADJ
aiti-8492	33	40	as	as	ADP
aiti-8492	33	41	images	image	NOUN
aiti-8492	33	42	and	and	CCONJ
aiti-8492	33	43	free	free	ADJ
aiti-8492	33	44	-	-	PUNCT
aiti-8492	33	45	form	form	NOUN
aiti-8492	33	46	texts	text	NOUN
aiti-8492	33	47	.	.	PUNCT
aiti-8492	34	1	(	(	PUNCT
aiti-8492	34	2	3	3	X
aiti-8492	34	3	)	)	PUNCT
aiti-8492	34	4	to	to	ADP
aiti-8492	34	5	the	the	DET
aiti-8492	34	6	best	good	ADJ
aiti-8492	34	7	of	of	ADP
aiti-8492	34	8	the	the	DET
aiti-8492	34	9	authors	author	NOUN
aiti-8492	34	10	’	’	PART
aiti-8492	34	11	knowledge	knowledge	NOUN
aiti-8492	34	12	,	,	PUNCT
aiti-8492	34	13	real	real	ADJ
aiti-8492	34	14	estate	estate	NOUN
aiti-8492	34	15	markets	market	NOUN
aiti-8492	34	16	have	have	AUX
aiti-8492	34	17	not	not	PART
aiti-8492	34	18	been	be	AUX
aiti-8492	34	19	delineated	delineate	VERB
aiti-8492	34	20	with	with	ADP
aiti-8492	34	21	the	the	DET
aiti-8492	34	22	aid	aid	NOUN
aiti-8492	34	23	of	of	ADP
aiti-8492	34	24	entity	entity	NOUN
aiti-8492	34	25	embedding	embed	VERB
aiti-8492	34	26	.	.	PUNCT
aiti-8492	35	1	this	this	DET
aiti-8492	35	2	study	study	NOUN
aiti-8492	35	3	attempts	attempt	VERB
aiti-8492	35	4	to	to	PART
aiti-8492	35	5	construct	construct	VERB
aiti-8492	35	6	real	real	ADJ
aiti-8492	35	7	estate	estate	NOUN
aiti-8492	35	8	submarkets	submarket	NOUN
aiti-8492	35	9	by	by	ADP
aiti-8492	35	10	exploiting	exploit	VERB
aiti-8492	35	11	the	the	DET
aiti-8492	35	12	entity	entity	NOUN
aiti-8492	35	13	embedding	embed	VERB
aiti-8492	35	14	approach	approach	NOUN
aiti-8492	35	15	.	.	PUNCT
aiti-8492	36	1	the	the	DET
aiti-8492	36	2	remainder	remainder	NOUN
aiti-8492	36	3	of	of	ADP
aiti-8492	36	4	this	this	DET
aiti-8492	36	5	study	study	NOUN
aiti-8492	36	6	is	be	AUX
aiti-8492	36	7	organized	organize	VERB
aiti-8492	36	8	as	as	SCONJ
aiti-8492	36	9	follows	follow	VERB
aiti-8492	36	10	.	.	PUNCT
aiti-8492	37	1	section	section	NOUN
aiti-8492	37	2	2	2	NUM
aiti-8492	37	3	presents	present	VERB
aiti-8492	37	4	the	the	DET
aiti-8492	37	5	background	background	NOUN
aiti-8492	37	6	information	information	NOUN
aiti-8492	37	7	on	on	ADP
aiti-8492	37	8	clustering	cluster	VERB
aiti-8492	37	9	analysis	analysis	NOUN
aiti-8492	37	10	and	and	CCONJ
aiti-8492	37	11	real	real	ADJ
aiti-8492	37	12	estate	estate	NOUN
aiti-8492	37	13	market	market	NOUN
aiti-8492	37	14	delineation	delineation	NOUN
aiti-8492	37	15	.	.	PUNCT
aiti-8492	38	1	section	section	NOUN
aiti-8492	38	2	3	3	NUM
aiti-8492	38	3	describes	describe	VERB
aiti-8492	38	4	the	the	DET
aiti-8492	38	5	dataset	dataset	NOUN
aiti-8492	38	6	,	,	PUNCT
aiti-8492	38	7	embedding	embed	VERB
aiti-8492	38	8	vectors	vector	NOUN
aiti-8492	38	9	,	,	PUNCT
aiti-8492	38	10	and	and	CCONJ
aiti-8492	38	11	silhouette	silhouette	NOUN
aiti-8492	38	12	score	score	NOUN
aiti-8492	38	13	used	use	VERB
aiti-8492	38	14	to	to	PART
aiti-8492	38	15	determine	determine	VERB
aiti-8492	38	16	the	the	DET
aiti-8492	38	17	optimal	optimal	ADJ
aiti-8492	38	18	number	number	NOUN
aiti-8492	38	19	of	of	ADP
aiti-8492	38	20	clusters	cluster	NOUN
aiti-8492	38	21	.	.	PUNCT
aiti-8492	39	1	the	the	DET
aiti-8492	39	2	results	result	NOUN
aiti-8492	39	3	and	and	CCONJ
aiti-8492	39	4	interpretations	interpretation	NOUN
aiti-8492	39	5	are	be	AUX
aiti-8492	39	6	provided	provide	VERB
aiti-8492	39	7	in	in	ADP
aiti-8492	39	8	section	section	NOUN
aiti-8492	39	9	4	4	NUM
aiti-8492	39	10	.	.	PUNCT
aiti-8492	40	1	a	a	DET
aiti-8492	40	2	summary	summary	NOUN
aiti-8492	40	3	of	of	ADP
aiti-8492	40	4	this	this	DET
aiti-8492	40	5	study	study	NOUN
aiti-8492	40	6	and	and	CCONJ
aiti-8492	40	7	conclusions	conclusion	NOUN
aiti-8492	40	8	are	be	AUX
aiti-8492	40	9	presented	present	VERB
aiti-8492	40	10	in	in	ADP
aiti-8492	40	11	section	section	NOUN
aiti-8492	40	12	5	5	NUM
aiti-8492	40	13	.	.	SYM
aiti-8492	40	14	2	2	NUM
aiti-8492	40	15	.	.	X
aiti-8492	40	16	literature	literature	NOUN
aiti-8492	40	17	review	review	VERB
aiti-8492	40	18	2.1	2.1	NUM
aiti-8492	40	19	.	.	PUNCT
aiti-8492	41	1	clustering	cluster	VERB
aiti-8492	41	2	analysis	analysis	NOUN
aiti-8492	41	3	and	and	CCONJ
aiti-8492	41	4	entity	entity	NOUN
aiti-8492	41	5	embedding	embed	VERB
aiti-8492	41	6	for	for	ADP
aiti-8492	41	7	a	a	DET
aiti-8492	41	8	clustering	clustering	ADJ
aiti-8492	41	9	algorithm	algorithm	NOUN
aiti-8492	41	10	to	to	ADP
aiti-8492	41	11	group	group	NOUN
aiti-8492	41	12	observations	observation	NOUN
aiti-8492	41	13	together	together	ADV
aiti-8492	41	14	,	,	PUNCT
aiti-8492	41	15	the	the	DET
aiti-8492	41	16	notion	notion	NOUN
aiti-8492	41	17	of	of	ADP
aiti-8492	41	18	(	(	PUNCT
aiti-8492	41	19	dis)similarity	dis)similarity	PROPN
aiti-8492	41	20	among	among	ADP
aiti-8492	41	21	observations	observation	NOUN
aiti-8492	41	22	must	must	AUX
aiti-8492	41	23	be	be	AUX
aiti-8492	41	24	defined	define	VERB
aiti-8492	41	25	first	first	ADV
aiti-8492	41	26	.	.	PUNCT
aiti-8492	42	1	a	a	DET
aiti-8492	42	2	popular	popular	ADJ
aiti-8492	42	3	dissimilarity	dissimilarity	NOUN
aiti-8492	42	4	metric	metric	NOUN
aiti-8492	42	5	,	,	PUNCT
aiti-8492	42	6	i.e.	i.e.	X
aiti-8492	42	7	,	,	PUNCT
aiti-8492	42	8	a	a	DET
aiti-8492	42	9	distance	distance	NOUN
aiti-8492	42	10	metric	metric	ADJ
aiti-8492	42	11	for	for	ADP
aiti-8492	42	12	clustering	clustering	NOUN
aiti-8492	42	13	,	,	PUNCT
aiti-8492	42	14	is	be	AUX
aiti-8492	42	15	the	the	DET
aiti-8492	42	16	euclidean	euclidean	ADJ
aiti-8492	42	17	distance	distance	NOUN
aiti-8492	42	18	.	.	PUNCT
aiti-8492	43	1	however	however	ADV
aiti-8492	43	2	,	,	PUNCT
aiti-8492	43	3	the	the	DET
aiti-8492	43	4	euclidean	euclidean	ADJ
aiti-8492	43	5	distance	distance	NOUN
aiti-8492	43	6	is	be	AUX
aiti-8492	43	7	only	only	ADV
aiti-8492	43	8	applicable	applicable	ADJ
aiti-8492	43	9	to	to	ADP
aiti-8492	43	10	continuous	continuous	ADJ
aiti-8492	43	11	variables	variable	NOUN
aiti-8492	43	12	and	and	CCONJ
aiti-8492	43	13	not	not	PART
aiti-8492	43	14	categorical	categorical	ADJ
aiti-8492	43	15	variables	variable	NOUN
aiti-8492	43	16	.	.	PUNCT
aiti-8492	44	1	when	when	SCONJ
aiti-8492	44	2	categorical	categorical	ADJ
aiti-8492	44	3	variables	variable	NOUN
aiti-8492	44	4	must	must	AUX
aiti-8492	44	5	be	be	AUX
aiti-8492	44	6	used	use	VERB
aiti-8492	44	7	for	for	ADP
aiti-8492	44	8	clustering	clustering	NOUN
aiti-8492	44	9	,	,	PUNCT
aiti-8492	44	10	the	the	DET
aiti-8492	44	11	simplest	simple	ADJ
aiti-8492	44	12	technique	technique	NOUN
aiti-8492	44	13	to	to	PART
aiti-8492	44	14	calculate	calculate	VERB
aiti-8492	44	15	the	the	DET
aiti-8492	44	16	euclidean	euclidean	ADJ
aiti-8492	44	17	distance	distance	NOUN
aiti-8492	44	18	is	be	AUX
aiti-8492	44	19	to	to	PART
aiti-8492	44	20	convert	convert	VERB
aiti-8492	44	21	each	each	DET
aiti-8492	44	22	element	element	NOUN
aiti-8492	44	23	in	in	ADP
aiti-8492	44	24	a	a	DET
aiti-8492	44	25	categorical	categorical	ADJ
aiti-8492	44	26	variable	variable	NOUN
aiti-8492	44	27	to	to	ADP
aiti-8492	44	28	a	a	DET
aiti-8492	44	29	separate	separate	ADJ
aiti-8492	44	30	binary	binary	ADJ
aiti-8492	44	31	dummy	dummy	ADJ
aiti-8492	44	32	variable	variable	NOUN
aiti-8492	44	33	,	,	PUNCT
aiti-8492	44	34	and	and	CCONJ
aiti-8492	44	35	this	this	PRON
aiti-8492	44	36	is	be	AUX
aiti-8492	44	37	often	often	ADV
aiti-8492	44	38	called	call	VERB
aiti-8492	44	39	the	the	DET
aiti-8492	44	40	one	one	NUM
aiti-8492	44	41	-	-	PUNCT
aiti-8492	44	42	hot	hot	ADJ
aiti-8492	44	43	encoding	encoding	NOUN
aiti-8492	44	44	approach	approach	NOUN
aiti-8492	44	45	.	.	PUNCT
aiti-8492	45	1	although	although	SCONJ
aiti-8492	45	2	this	this	DET
aiti-8492	45	3	approach	approach	NOUN
aiti-8492	45	4	is	be	AUX
aiti-8492	45	5	applicable	applicable	ADJ
aiti-8492	45	6	to	to	ADP
aiti-8492	45	7	a	a	DET
aiti-8492	45	8	clustering	clustering	ADJ
aiti-8492	45	9	algorithm	algorithm	NOUN
aiti-8492	45	10	,	,	PUNCT
aiti-8492	45	11	it	it	PRON
aiti-8492	45	12	becomes	become	VERB
aiti-8492	45	13	cumbersome	cumbersome	ADJ
aiti-8492	45	14	and	and	CCONJ
aiti-8492	45	15	inefficient	inefficient	ADJ
aiti-8492	45	16	for	for	ADP
aiti-8492	45	17	processing	process	VERB
aiti-8492	45	18	data	datum	NOUN
aiti-8492	45	19	when	when	SCONJ
aiti-8492	45	20	categorical	categorical	ADJ
aiti-8492	45	21	variables	variable	NOUN
aiti-8492	45	22	are	be	AUX
aiti-8492	45	23	dominant	dominant	ADJ
aiti-8492	45	24	in	in	ADP
aiti-8492	45	25	the	the	DET
aiti-8492	45	26	dataset	dataset	NOUN
aiti-8492	45	27	.	.	PUNCT
aiti-8492	46	1	alternatively	alternatively	ADV
aiti-8492	46	2	,	,	PUNCT
aiti-8492	46	3	a	a	DET
aiti-8492	46	4	special	special	ADJ
aiti-8492	46	5	distance	distance	NOUN
aiti-8492	46	6	metric	metric	NOUN
aiti-8492	46	7	that	that	PRON
aiti-8492	46	8	can	can	AUX
aiti-8492	46	9	handle	handle	VERB
aiti-8492	46	10	both	both	CCONJ
aiti-8492	46	11	continuous	continuous	ADJ
aiti-8492	46	12	and	and	CCONJ
aiti-8492	46	13	categorical	categorical	ADJ
aiti-8492	46	14	data	datum	NOUN
aiti-8492	46	15	types	type	NOUN
aiti-8492	46	16	may	may	AUX
aiti-8492	46	17	be	be	AUX
aiti-8492	46	18	utilized	utilize	VERB
aiti-8492	46	19	,	,	PUNCT
aiti-8492	46	20	and	and	CCONJ
aiti-8492	46	21	a	a	DET
aiti-8492	46	22	well	well	ADV
aiti-8492	46	23	-	-	PUNCT
aiti-8492	46	24	known	know	VERB
aiti-8492	46	25	such	such	ADJ
aiti-8492	46	26	metric	metric	NOUN
aiti-8492	46	27	is	be	AUX
aiti-8492	46	28	the	the	DET
aiti-8492	46	29	gower	gower	PROPN
aiti-8492	46	30	distance	distance	PROPN
aiti-8492	47	1	[	[	X
aiti-8492	47	2	7	7	NUM
aiti-8492	47	3	]	]	PUNCT
aiti-8492	47	4	.	.	PUNCT
aiti-8492	48	1	to	to	PART
aiti-8492	48	2	calculate	calculate	VERB
aiti-8492	48	3	the	the	DET
aiti-8492	48	4	gower	gower	PROPN
aiti-8492	48	5	distance	distance	PROPN
aiti-8492	48	6	,	,	PUNCT
aiti-8492	48	7	an	an	DET
aiti-8492	48	8	appropriate	appropriate	ADJ
aiti-8492	48	9	distance	distance	NOUN
aiti-8492	48	10	metric	metric	NOUN
aiti-8492	48	11	for	for	ADP
aiti-8492	48	12	each	each	DET
aiti-8492	48	13	variable	variable	ADJ
aiti-8492	48	14	type	type	NOUN
aiti-8492	48	15	is	be	AUX
aiti-8492	48	16	selected	select	VERB
aiti-8492	48	17	and	and	CCONJ
aiti-8492	48	18	scaled	scale	VERB
aiti-8492	48	19	to	to	PART
aiti-8492	48	20	fall	fall	VERB
aiti-8492	48	21	between	between	ADP
aiti-8492	48	22	0	0	NUM
aiti-8492	48	23	and	and	CCONJ
aiti-8492	48	24	1	1	NUM
aiti-8492	48	25	;	;	PUNCT
aiti-8492	48	26	the	the	DET
aiti-8492	48	27	euclidean	euclidean	ADJ
aiti-8492	48	28	distance	distance	NOUN
aiti-8492	48	29	is	be	AUX
aiti-8492	48	30	chosen	choose	VERB
aiti-8492	48	31	for	for	ADP
aiti-8492	48	32	continuous	continuous	ADJ
aiti-8492	48	33	variables	variable	NOUN
aiti-8492	48	34	,	,	PUNCT
aiti-8492	48	35	and	and	CCONJ
aiti-8492	48	36	the	the	DET
aiti-8492	48	37	dice	dice	NOUN
aiti-8492	48	38	coefficient	coefficient	NOUN
aiti-8492	48	39	is	be	AUX
aiti-8492	48	40	chosen	choose	VERB
aiti-8492	48	41	for	for	ADP
aiti-8492	48	42	categorical	categorical	ADJ
aiti-8492	48	43	variables	variable	NOUN
aiti-8492	49	1	[	[	X
aiti-8492	49	2	8	8	NUM
aiti-8492	49	3	]	]	PUNCT
aiti-8492	49	4	.	.	PUNCT
aiti-8492	50	1	the	the	DET
aiti-8492	50	2	dice	dice	NOUN
aiti-8492	50	3	coefficient	coefficient	NOUN
aiti-8492	50	4	is	be	AUX
aiti-8492	50	5	a	a	DET
aiti-8492	50	6	well	well	ADV
aiti-8492	50	7	-	-	PUNCT
aiti-8492	50	8	known	know	VERB
aiti-8492	50	9	similarity	similarity	NOUN
aiti-8492	50	10	measure	measure	NOUN
aiti-8492	50	11	for	for	ADP
aiti-8492	50	12	categorical	categorical	ADJ
aiti-8492	50	13	data	datum	NOUN
aiti-8492	50	14	[	[	X
aiti-8492	50	15	9	9	NUM
aiti-8492	50	16	]	]	PUNCT
aiti-8492	50	17	.	.	PUNCT
aiti-8492	51	1	subsequently	subsequently	ADV
aiti-8492	51	2	,	,	PUNCT
aiti-8492	51	3	the	the	DET
aiti-8492	51	4	average	average	ADJ
aiti-8492	51	5	value	value	NOUN
aiti-8492	51	6	of	of	ADP
aiti-8492	51	7	all	all	DET
aiti-8492	51	8	variables	variable	NOUN
aiti-8492	51	9	is	be	AUX
aiti-8492	51	10	calculated	calculate	VERB
aiti-8492	51	11	to	to	PART
aiti-8492	51	12	create	create	VERB
aiti-8492	51	13	the	the	DET
aiti-8492	51	14	final	final	ADJ
aiti-8492	51	15	gower	gower	PROPN
aiti-8492	51	16	distance	distance	NOUN
aiti-8492	51	17	.	.	PUNCT
aiti-8492	52	1	the	the	DET
aiti-8492	52	2	dice	dice	NOUN
aiti-8492	52	3	coefficient	coefficient	NOUN
aiti-8492	52	4	is	be	AUX
aiti-8492	52	5	a	a	DET
aiti-8492	52	6	measure	measure	NOUN
aiti-8492	52	7	that	that	PRON
aiti-8492	52	8	replaces	replace	VERB
aiti-8492	52	9	the	the	DET
aiti-8492	52	10	euclidean	euclidean	ADJ
aiti-8492	52	11	distance	distance	NOUN
aiti-8492	52	12	metric	metric	ADJ
aiti-8492	52	13	with	with	ADP
aiti-8492	52	14	a	a	DET
aiti-8492	52	15	matching	match	VERB
aiti-8492	52	16	similarity	similarity	NOUN
aiti-8492	52	17	measure	measure	NOUN
aiti-8492	52	18	,	,	PUNCT
aiti-8492	52	19	which	which	PRON
aiti-8492	52	20	is	be	AUX
aiti-8492	52	21	easily	easily	ADV
aiti-8492	52	22	applicable	applicable	ADJ
aiti-8492	52	23	to	to	ADP
aiti-8492	52	24	categorical	categorical	ADJ
aiti-8492	52	25	data	datum	NOUN
aiti-8492	52	26	.	.	PUNCT
aiti-8492	53	1	many	many	ADJ
aiti-8492	53	2	clustering	clustering	ADJ
aiti-8492	53	3	algorithms	algorithm	NOUN
aiti-8492	53	4	proposed	propose	VERB
aiti-8492	53	5	for	for	ADP
aiti-8492	53	6	grouping	group	VERB
aiti-8492	53	7	categorical	categorical	ADJ
aiti-8492	53	8	variables	variable	NOUN
aiti-8492	53	9	are	be	AUX
aiti-8492	53	10	implemented	implement	VERB
aiti-8492	53	11	based	base	VERB
aiti-8492	53	12	on	on	ADP
aiti-8492	53	13	the	the	DET
aiti-8492	53	14	modified	modify	VERB
aiti-8492	53	15	concept	concept	NOUN
aiti-8492	53	16	of	of	ADP
aiti-8492	53	17	(	(	PUNCT
aiti-8492	53	18	dis)similarity	dis)similarity	PROPN
aiti-8492	53	19	,	,	PUNCT
aiti-8492	53	20	such	such	ADJ
aiti-8492	53	21	as	as	ADP
aiti-8492	53	22	the	the	DET
aiti-8492	53	23	dice	dice	NOUN
aiti-8492	53	24	coefficient	coefficient	NOUN
aiti-8492	53	25	;	;	PUNCT
aiti-8492	53	26	k	k	X
aiti-8492	53	27	-	-	PUNCT
aiti-8492	53	28	modes	mode	NOUN
aiti-8492	53	29	is	be	AUX
aiti-8492	53	30	one	one	NUM
aiti-8492	53	31	such	such	ADJ
aiti-8492	53	32	well	well	ADV
aiti-8492	53	33	-	-	PUNCT
aiti-8492	53	34	known	know	VERB
aiti-8492	53	35	algorithm	algorithm	NOUN
aiti-8492	53	36	[	[	X
aiti-8492	53	37	10	10	NUM
aiti-8492	53	38	]	]	PUNCT
aiti-8492	53	39	.	.	PUNCT
aiti-8492	54	1	k	k	NOUN
aiti-8492	54	2	-	-	PUNCT
aiti-8492	54	3	modes	mode	NOUN
aiti-8492	54	4	is	be	AUX
aiti-8492	54	5	a	a	DET
aiti-8492	54	6	clustering	clustering	ADJ
aiti-8492	54	7	algorithm	algorithm	NOUN
aiti-8492	54	8	that	that	PRON
aiti-8492	54	9	is	be	AUX
aiti-8492	54	10	specialized	specialize	VERB
aiti-8492	54	11	in	in	ADP
aiti-8492	54	12	classifying	classify	VERB
aiti-8492	54	13	categorical	categorical	ADJ
aiti-8492	54	14	data	datum	NOUN
aiti-8492	54	15	.	.	PUNCT
aiti-8492	55	1	in	in	ADP
aiti-8492	55	2	addition	addition	NOUN
aiti-8492	55	3	,	,	PUNCT
aiti-8492	55	4	useful	useful	ADJ
aiti-8492	55	5	modifications	modification	NOUN
aiti-8492	55	6	to	to	ADP
aiti-8492	55	7	the	the	DET
aiti-8492	55	8	k	k	NOUN
aiti-8492	55	9	-	-	PUNCT
aiti-8492	55	10	modes	mode	NOUN
aiti-8492	55	11	have	have	AUX
aiti-8492	55	12	been	be	AUX
aiti-8492	55	13	proposed	propose	VERB
aiti-8492	55	14	recently	recently	ADV
aiti-8492	55	15	to	to	PART
aiti-8492	55	16	achieve	achieve	VERB
aiti-8492	55	17	better	well	ADJ
aiti-8492	55	18	performance	performance	NOUN
aiti-8492	55	19	[	[	X
aiti-8492	55	20	11	11	NUM
aiti-8492	55	21	-	-	SYM
aiti-8492	55	22	12	12	NUM
aiti-8492	55	23	]	]	PUNCT
aiti-8492	55	24	.	.	PUNCT
aiti-8492	56	1	31	31	NUM
aiti-8492	56	2	advances	advance	NOUN
aiti-8492	56	3	in	in	ADP
aiti-8492	56	4	technology	technology	NOUN
aiti-8492	56	5	innovation	innovation	NOUN
aiti-8492	56	6	,	,	PUNCT
aiti-8492	56	7	vol	vol	NOUN
aiti-8492	56	8	.	.	PROPN
aiti-8492	56	9	7	7	NUM
aiti-8492	56	10	,	,	PUNCT
aiti-8492	56	11	no	no	INTJ
aiti-8492	56	12	.	.	NOUN
aiti-8492	56	13	1	1	NUM
aiti-8492	56	14	,	,	PUNCT
aiti-8492	56	15	2022	2022	NUM
aiti-8492	56	16	,	,	PUNCT
aiti-8492	56	17	pp	pp	ADJ
aiti-8492	56	18	.	.	PUNCT
aiti-8492	57	1	30	30	NUM
aiti-8492	57	2	-	-	SYM
aiti-8492	57	3	40	40	NUM
aiti-8492	57	4	however	however	ADV
aiti-8492	57	5	,	,	PUNCT
aiti-8492	57	6	the	the	DET
aiti-8492	57	7	above	above	ADJ
aiti-8492	57	8	approaches	approach	NOUN
aiti-8492	57	9	become	become	VERB
aiti-8492	57	10	very	very	ADV
aiti-8492	57	11	inefficient	inefficient	ADJ
aiti-8492	57	12	when	when	SCONJ
aiti-8492	57	13	a	a	DET
aiti-8492	57	14	categorical	categorical	ADJ
aiti-8492	57	15	variable	variable	NOUN
aiti-8492	57	16	is	be	AUX
aiti-8492	57	17	highly	highly	ADV
aiti-8492	57	18	cardinal	cardinal	ADJ
aiti-8492	57	19	;	;	PUNCT
aiti-8492	57	20	that	that	ADV
aiti-8492	57	21	is	is	ADV
aiti-8492	57	22	,	,	PUNCT
aiti-8492	57	23	the	the	DET
aiti-8492	57	24	number	number	NOUN
aiti-8492	57	25	of	of	ADP
aiti-8492	57	26	unique	unique	ADJ
aiti-8492	57	27	values	value	NOUN
aiti-8492	57	28	in	in	ADP
aiti-8492	57	29	a	a	DET
aiti-8492	57	30	categorical	categorical	ADJ
aiti-8492	57	31	variable	variable	NOUN
aiti-8492	57	32	is	be	AUX
aiti-8492	57	33	very	very	ADV
aiti-8492	57	34	large	large	ADJ
aiti-8492	57	35	.	.	PUNCT
aiti-8492	58	1	to	to	PART
aiti-8492	58	2	solve	solve	VERB
aiti-8492	58	3	this	this	DET
aiti-8492	58	4	problem	problem	NOUN
aiti-8492	58	5	,	,	PUNCT
aiti-8492	58	6	this	this	DET
aiti-8492	58	7	study	study	NOUN
aiti-8492	58	8	utilizes	utilize	VERB
aiti-8492	58	9	an	an	DET
aiti-8492	58	10	entity	entity	NOUN
aiti-8492	58	11	embedding	embed	VERB
aiti-8492	58	12	approach	approach	NOUN
aiti-8492	58	13	for	for	ADP
aiti-8492	58	14	high	high	ADJ
aiti-8492	58	15	-	-	PUNCT
aiti-8492	58	16	cardinality	cardinality	NOUN
aiti-8492	58	17	categorical	categorical	ADJ
aiti-8492	58	18	variables	variable	NOUN
aiti-8492	58	19	.	.	PUNCT
aiti-8492	59	1	an	an	DET
aiti-8492	59	2	entity	entity	NOUN
aiti-8492	59	3	embedding	embed	VERB
aiti-8492	59	4	technique	technique	NOUN
aiti-8492	59	5	is	be	AUX
aiti-8492	59	6	used	use	VERB
aiti-8492	59	7	for	for	ADP
aiti-8492	59	8	mapping	map	VERB
aiti-8492	59	9	categorical	categorical	ADJ
aiti-8492	59	10	values	value	NOUN
aiti-8492	59	11	to	to	ADP
aiti-8492	59	12	a	a	DET
aiti-8492	59	13	multidimensional	multidimensional	ADJ
aiti-8492	59	14	space	space	NOUN
aiti-8492	59	15	with	with	ADP
aiti-8492	59	16	fewer	few	ADJ
aiti-8492	59	17	dimensions	dimension	NOUN
aiti-8492	59	18	than	than	ADP
aiti-8492	59	19	the	the	DET
aiti-8492	59	20	original	original	ADJ
aiti-8492	59	21	number	number	NOUN
aiti-8492	59	22	of	of	ADP
aiti-8492	59	23	levels	level	NOUN
aiti-8492	59	24	,	,	PUNCT
aiti-8492	59	25	where	where	SCONJ
aiti-8492	59	26	the	the	DET
aiti-8492	59	27	values	value	NOUN
aiti-8492	59	28	with	with	ADP
aiti-8492	59	29	similar	similar	ADJ
aiti-8492	59	30	function	function	NOUN
aiti-8492	59	31	outputs	output	NOUN
aiti-8492	59	32	are	be	AUX
aiti-8492	59	33	close	close	ADJ
aiti-8492	59	34	to	to	ADP
aiti-8492	59	35	each	each	DET
aiti-8492	59	36	other	other	ADJ
aiti-8492	60	1	[	[	X
aiti-8492	60	2	13	13	NUM
aiti-8492	60	3	-	-	SYM
aiti-8492	60	4	14	14	NUM
aiti-8492	60	5	]	]	PUNCT
aiti-8492	60	6	.	.	PUNCT
aiti-8492	61	1	an	an	DET
aiti-8492	61	2	entity	entity	NOUN
aiti-8492	61	3	embedding	embed	VERB
aiti-8492	61	4	is	be	AUX
aiti-8492	61	5	usually	usually	ADV
aiti-8492	61	6	created	create	VERB
aiti-8492	61	7	via	via	ADP
aiti-8492	61	8	neural	neural	ADJ
aiti-8492	61	9	network	network	NOUN
aiti-8492	61	10	training	training	NOUN
aiti-8492	61	11	in	in	ADP
aiti-8492	61	12	the	the	DET
aiti-8492	61	13	form	form	NOUN
aiti-8492	61	14	of	of	ADP
aiti-8492	61	15	embedding	embed	VERB
aiti-8492	61	16	vectors	vector	NOUN
aiti-8492	61	17	.	.	PUNCT
aiti-8492	62	1	the	the	DET
aiti-8492	62	2	entity	entity	NOUN
aiti-8492	62	3	embedding	embed	VERB
aiti-8492	62	4	technique	technique	NOUN
aiti-8492	62	5	is	be	AUX
aiti-8492	62	6	widely	widely	ADV
aiti-8492	62	7	used	use	VERB
aiti-8492	62	8	in	in	ADP
aiti-8492	62	9	the	the	DET
aiti-8492	62	10	field	field	NOUN
aiti-8492	62	11	of	of	ADP
aiti-8492	62	12	natural	natural	ADJ
aiti-8492	62	13	language	language	NOUN
aiti-8492	62	14	processing	processing	NOUN
aiti-8492	62	15	because	because	SCONJ
aiti-8492	62	16	words	word	NOUN
aiti-8492	62	17	can	can	AUX
aiti-8492	62	18	be	be	AUX
aiti-8492	62	19	viewed	view	VERB
aiti-8492	62	20	as	as	ADP
aiti-8492	62	21	the	the	DET
aiti-8492	62	22	agglomeration	agglomeration	NOUN
aiti-8492	62	23	of	of	ADP
aiti-8492	62	24	high	high	ADJ
aiti-8492	62	25	-	-	PUNCT
aiti-8492	62	26	cardinality	cardinality	NOUN
aiti-8492	62	27	categorical	categorical	ADJ
aiti-8492	62	28	variables	variable	NOUN
aiti-8492	63	1	[	[	X
aiti-8492	63	2	15	15	NUM
aiti-8492	63	3	-	-	SYM
aiti-8492	63	4	18	18	NUM
aiti-8492	63	5	]	]	PUNCT
aiti-8492	63	6	.	.	PUNCT
aiti-8492	64	1	according	accord	VERB
aiti-8492	64	2	to	to	ADP
aiti-8492	64	3	the	the	DET
aiti-8492	64	4	work	work	NOUN
aiti-8492	64	5	of	of	ADP
aiti-8492	64	6	guo	guo	PROPN
aiti-8492	64	7	et	et	PROPN
aiti-8492	64	8	al	al	PROPN
aiti-8492	64	9	.	.	PUNCT
aiti-8492	65	1	[	[	X
aiti-8492	65	2	13	13	NUM
aiti-8492	65	3	]	]	PUNCT
aiti-8492	65	4	,	,	PUNCT
aiti-8492	65	5	the	the	DET
aiti-8492	65	6	traditional	traditional	ADJ
aiti-8492	65	7	one	one	NUM
aiti-8492	65	8	-	-	PUNCT
aiti-8492	65	9	hot	hot	ADJ
aiti-8492	65	10	encoding	encoding	NOUN
aiti-8492	65	11	of	of	ADP
aiti-8492	65	12	a	a	DET
aiti-8492	65	13	categorical	categorical	ADJ
aiti-8492	65	14	variable	variable	NOUN
aiti-8492	65	15	can	can	AUX
aiti-8492	65	16	be	be	AUX
aiti-8492	65	17	expressed	express	VERB
aiti-8492	65	18	as	as	ADP
aiti-8492	65	19	:	:	PUNCT
aiti-8492	65	20	ii	ii	PROPN
aiti-8492	65	21	x	x	PUNCT
aiti-8492	65	22	a	a	PRON
aiti-8492	65	23	x	x	PROPN
aiti-8492	65	24	→	→	SYM
aiti-8492	65	25	δ	δ	PROPN
aiti-8492	65	26	(	(	PUNCT
aiti-8492	65	27	1	1	NUM
aiti-8492	65	28	)	)	PUNCT
aiti-8492	65	29	where	where	SCONJ
aiti-8492	65	30	�	�	PROPN
aiti-8492	65	31	�	�	PROPN
aiti-8492	65	32	�	�	PROPN
aiti-8492	65	33	�	�	PROPN
aiti-8492	65	34	denotes	denote	VERB
aiti-8492	65	35	the	the	DET
aiti-8492	65	36	kronecker	kronecker	NOUN
aiti-8492	65	37	delta	delta	NOUN
aiti-8492	65	38	,	,	PUNCT
aiti-8492	65	39	and	and	CCONJ
aiti-8492	65	40	the	the	DET
aiti-8492	65	41	possible	possible	ADJ
aiti-8492	65	42	values	value	NOUN
aiti-8492	65	43	for	for	ADP
aiti-8492	65	44	�	�	PROPN
aiti-8492	65	45	are	be	AUX
aiti-8492	65	46	the	the	DET
aiti-8492	65	47	same	same	ADJ
aiti-8492	65	48	as	as	ADP
aiti-8492	65	49	�	�	PROPN
aiti-8492	65	50	�	�	PROPN
aiti-8492	65	51	.	.	PUNCT
aiti-8492	66	1	the	the	DET
aiti-8492	66	2	element	element	NOUN
aiti-8492	66	3	is	be	AUX
aiti-8492	66	4	nonzero	nonzero	ADJ
aiti-8492	66	5	only	only	ADV
aiti-8492	66	6	when	when	SCONJ
aiti-8492	66	7	�	�	PROPN
aiti-8492	66	8	�	�	PROPN
aiti-8492	66	9	�	�	PROPN
aiti-8492	66	10	�	�	PROPN
aiti-8492	66	11	.	.	PROPN
aiti-8492	67	1	based	base	VERB
aiti-8492	67	2	on	on	ADP
aiti-8492	67	3	the	the	DET
aiti-8492	67	4	work	work	NOUN
aiti-8492	67	5	of	of	ADP
aiti-8492	67	6	guo	guo	PROPN
aiti-8492	67	7	et	et	PROPN
aiti-8492	67	8	al	al	PROPN
aiti-8492	67	9	.	.	PUNCT
aiti-8492	68	1	[	[	X
aiti-8492	68	2	13	13	NUM
aiti-8492	68	3	]	]	PUNCT
aiti-8492	68	4	,	,	PUNCT
aiti-8492	68	5	the	the	DET
aiti-8492	68	6	entity	entity	NOUN
aiti-8492	68	7	embedding	embed	VERB
aiti-8492	68	8	of	of	ADP
aiti-8492	68	9	�	�	PROPN
aiti-8492	68	10	�	�	PROPN
aiti-8492	68	11	can	can	AUX
aiti-8492	68	12	be	be	AUX
aiti-8492	68	13	expressed	express	VERB
aiti-8492	68	14	as	as	ADP
aiti-8492	68	15	:	:	PUNCT
aiti-8492	68	16	i	i	PRON
aiti-8492	68	17	ii	ii	VERB
aiti-8492	69	1	a	a	PRON
aiti-8492	69	2	a	a	DET
aiti-8492	69	3	x	x	SYM
aiti-8492	69	4	a	a	DET
aiti-8492	69	5	x	x	X
aiti-8492	69	6	x	x	X
aiti-8492	69	7	w	w	PROPN
aiti-8492	69	8	w→∑	w→∑	PROPN
aiti-8492	69	9	=	=	PROPN
aiti-8492	69	10	δ	δ	PROPN
aiti-8492	69	11	(	(	PUNCT
aiti-8492	69	12	2	2	NUM
aiti-8492	69	13	)	)	PUNCT
aiti-8492	69	14	where	where	SCONJ
aiti-8492	69	15	�	�	PROPN
aiti-8492	69	16	represents	represent	VERB
aiti-8492	69	17	the	the	DET
aiti-8492	69	18	weight	weight	NOUN
aiti-8492	69	19	connecting	connect	VERB
aiti-8492	69	20	the	the	DET
aiti-8492	69	21	one	one	NUM
aiti-8492	69	22	-	-	PUNCT
aiti-8492	69	23	hot	hot	ADJ
aiti-8492	69	24	encoding	encoding	NOUN
aiti-8492	69	25	layer	layer	NOUN
aiti-8492	69	26	to	to	ADP
aiti-8492	69	27	the	the	DET
aiti-8492	69	28	embedding	embed	VERB
aiti-8492	69	29	layer	layer	NOUN
aiti-8492	69	30	in	in	ADP
aiti-8492	69	31	a	a	DET
aiti-8492	69	32	neural	neural	ADJ
aiti-8492	69	33	network	network	NOUN
aiti-8492	69	34	.	.	PUNCT
aiti-8492	70	1	thus	thus	ADV
aiti-8492	70	2	,	,	PUNCT
aiti-8492	70	3	the	the	DET
aiti-8492	70	4	mapped	mapped	ADJ
aiti-8492	70	5	embedding	embed	VERB
aiti-8492	70	6	is	be	AUX
aiti-8492	70	7	the	the	DET
aiti-8492	70	8	weight	weight	NOUN
aiti-8492	70	9	of	of	ADP
aiti-8492	70	10	the	the	DET
aiti-8492	70	11	embedding	embed	VERB
aiti-8492	70	12	layer	layer	NOUN
aiti-8492	70	13	and	and	CCONJ
aiti-8492	70	14	can	can	AUX
aiti-8492	70	15	be	be	AUX
aiti-8492	70	16	learned	learn	VERB
aiti-8492	70	17	in	in	ADP
aiti-8492	70	18	the	the	DET
aiti-8492	70	19	same	same	ADJ
aiti-8492	70	20	way	way	NOUN
aiti-8492	70	21	as	as	ADP
aiti-8492	70	22	the	the	DET
aiti-8492	70	23	parameters	parameter	NOUN
aiti-8492	70	24	of	of	ADP
aiti-8492	70	25	other	other	ADJ
aiti-8492	70	26	neural	neural	ADJ
aiti-8492	70	27	network	network	NOUN
aiti-8492	70	28	layers	layer	NOUN
aiti-8492	70	29	.	.	PUNCT
aiti-8492	71	1	in	in	ADP
aiti-8492	71	2	short	short	ADJ
aiti-8492	71	3	,	,	PUNCT
aiti-8492	71	4	entity	entity	NOUN
aiti-8492	71	5	embedding	embed	VERB
aiti-8492	71	6	is	be	AUX
aiti-8492	71	7	an	an	DET
aiti-8492	71	8	approach	approach	NOUN
aiti-8492	71	9	of	of	ADP
aiti-8492	71	10	converting	convert	VERB
aiti-8492	71	11	a	a	DET
aiti-8492	71	12	categorical	categorical	ADJ
aiti-8492	71	13	variable	variable	NOUN
aiti-8492	71	14	into	into	ADP
aiti-8492	71	15	a	a	DET
aiti-8492	71	16	vector	vector	NOUN
aiti-8492	71	17	representation	representation	NOUN
aiti-8492	71	18	.	.	PUNCT
aiti-8492	72	1	the	the	DET
aiti-8492	72	2	entity	entity	NOUN
aiti-8492	72	3	can	can	AUX
aiti-8492	72	4	be	be	AUX
aiti-8492	72	5	a	a	DET
aiti-8492	72	6	word	word	NOUN
aiti-8492	72	7	in	in	ADP
aiti-8492	72	8	natural	natural	ADJ
aiti-8492	72	9	language	language	NOUN
aiti-8492	72	10	processing	processing	NOUN
aiti-8492	72	11	or	or	CCONJ
aiti-8492	72	12	a	a	DET
aiti-8492	72	13	level	level	NOUN
aiti-8492	72	14	in	in	ADP
aiti-8492	72	15	a	a	DET
aiti-8492	72	16	categorical	categorical	ADJ
aiti-8492	72	17	variable	variable	NOUN
aiti-8492	72	18	.	.	PUNCT
aiti-8492	73	1	synonyms	synonym	NOUN
aiti-8492	73	2	in	in	ADP
aiti-8492	73	3	natural	natural	ADJ
aiti-8492	73	4	language	language	NOUN
aiti-8492	73	5	or	or	CCONJ
aiti-8492	73	6	similar	similar	ADJ
aiti-8492	73	7	levels	level	NOUN
aiti-8492	73	8	in	in	ADP
aiti-8492	73	9	a	a	DET
aiti-8492	73	10	categorical	categorical	ADJ
aiti-8492	73	11	variable	variable	NOUN
aiti-8492	73	12	come	come	VERB
aiti-8492	73	13	to	to	PART
aiti-8492	73	14	have	have	VERB
aiti-8492	73	15	similar	similar	ADJ
aiti-8492	73	16	vector	vector	NOUN
aiti-8492	73	17	values	value	NOUN
aiti-8492	73	18	after	after	ADP
aiti-8492	73	19	neural	neural	ADJ
aiti-8492	73	20	network	network	NOUN
aiti-8492	73	21	training	training	NOUN
aiti-8492	73	22	.	.	PUNCT
aiti-8492	74	1	fig	fig	NOUN
aiti-8492	74	2	.	.	PUNCT
aiti-8492	75	1	1	1	NUM
aiti-8492	75	2	illustrates	illustrate	VERB
aiti-8492	75	3	the	the	DET
aiti-8492	75	4	vector	vector	NOUN
aiti-8492	75	5	representation	representation	NOUN
aiti-8492	75	6	of	of	ADP
aiti-8492	75	7	entity	entity	NOUN
aiti-8492	75	8	embedding	embed	VERB
aiti-8492	75	9	for	for	ADP
aiti-8492	75	10	the	the	DET
aiti-8492	75	11	categorical	categorical	ADJ
aiti-8492	75	12	variable	variable	ADJ
aiti-8492	75	13	“	"	PUNCT
aiti-8492	75	14	pet	pet	ADJ
aiti-8492	75	15	breeds	breed	NOUN
aiti-8492	75	16	”	"	PUNCT
aiti-8492	75	17	.	.	PUNCT
aiti-8492	76	1	a	a	DET
aiti-8492	76	2	few	few	ADJ
aiti-8492	76	3	studies	study	NOUN
aiti-8492	76	4	utilizing	utilize	VERB
aiti-8492	76	5	entity	entity	NOUN
aiti-8492	76	6	embedding	embed	VERB
aiti-8492	76	7	for	for	ADP
aiti-8492	76	8	clustering	clustering	NOUN
aiti-8492	76	9	have	have	AUX
aiti-8492	76	10	been	be	AUX
aiti-8492	76	11	reported	report	VERB
aiti-8492	76	12	in	in	ADP
aiti-8492	76	13	the	the	DET
aiti-8492	76	14	literature	literature	NOUN
aiti-8492	76	15	[	[	X
aiti-8492	76	16	19	19	NUM
aiti-8492	76	17	-	-	SYM
aiti-8492	76	18	20	20	NUM
aiti-8492	76	19	]	]	PUNCT
aiti-8492	76	20	.	.	PUNCT
aiti-8492	77	1	however	however	ADV
aiti-8492	77	2	,	,	PUNCT
aiti-8492	77	3	they	they	PRON
aiti-8492	77	4	attempted	attempt	VERB
aiti-8492	77	5	to	to	PART
aiti-8492	77	6	apply	apply	VERB
aiti-8492	77	7	the	the	DET
aiti-8492	77	8	entity	entity	NOUN
aiti-8492	77	9	embedding	embed	VERB
aiti-8492	77	10	technique	technique	NOUN
aiti-8492	77	11	to	to	ADP
aiti-8492	77	12	unstructured	unstructured	ADJ
aiti-8492	77	13	data	datum	NOUN
aiti-8492	77	14	such	such	ADJ
aiti-8492	77	15	as	as	ADP
aiti-8492	77	16	imagery	imagery	NOUN
aiti-8492	77	17	data	datum	NOUN
aiti-8492	77	18	,	,	PUNCT
aiti-8492	77	19	more	more	ADV
aiti-8492	77	20	specifically	specifically	ADV
aiti-8492	77	21	,	,	PUNCT
aiti-8492	77	22	the	the	DET
aiti-8492	77	23	modified	modify	VERB
aiti-8492	77	24	national	national	PROPN
aiti-8492	77	25	institute	institute	PROPN
aiti-8492	77	26	of	of	ADP
aiti-8492	77	27	standards	standard	NOUN
aiti-8492	77	28	and	and	CCONJ
aiti-8492	77	29	technology	technology	NOUN
aiti-8492	77	30	(	(	PUNCT
aiti-8492	77	31	mnist	mnist	NOUN
aiti-8492	77	32	)	)	PUNCT
aiti-8492	77	33	database	database	NOUN
aiti-8492	77	34	.	.	PUNCT
aiti-8492	78	1	this	this	DET
aiti-8492	78	2	image	image	NOUN
aiti-8492	78	3	dataset	dataset	NOUN
aiti-8492	78	4	is	be	AUX
aiti-8492	78	5	already	already	ADV
aiti-8492	78	6	pre	pre	ADJ
aiti-8492	78	7	-	-	ADJ
aiti-8492	78	8	processed	process	VERB
aiti-8492	78	9	public	public	ADJ
aiti-8492	78	10	data	datum	NOUN
aiti-8492	78	11	.	.	PUNCT
aiti-8492	79	1	this	this	DET
aiti-8492	79	2	study	study	NOUN
aiti-8492	79	3	differs	differ	VERB
aiti-8492	79	4	from	from	ADP
aiti-8492	79	5	them	they	PRON
aiti-8492	79	6	in	in	ADP
aiti-8492	79	7	that	that	SCONJ
aiti-8492	79	8	the	the	DET
aiti-8492	79	9	entity	entity	NOUN
aiti-8492	79	10	embedding	embed	VERB
aiti-8492	79	11	is	be	AUX
aiti-8492	79	12	applied	apply	VERB
aiti-8492	79	13	to	to	ADP
aiti-8492	79	14	structured	structured	ADJ
aiti-8492	79	15	data	datum	NOUN
aiti-8492	79	16	,	,	PUNCT
aiti-8492	79	17	that	that	ADV
aiti-8492	79	18	is	is	ADV
aiti-8492	79	19	,	,	PUNCT
aiti-8492	79	20	tabular	tabular	PROPN
aiti-8492	79	21	format	format	NOUN
aiti-8492	79	22	data	datum	NOUN
aiti-8492	79	23	with	with	ADP
aiti-8492	79	24	rows	row	NOUN
aiti-8492	79	25	and	and	CCONJ
aiti-8492	79	26	columns	column	NOUN
aiti-8492	79	27	,	,	PUNCT
aiti-8492	79	28	and	and	CCONJ
aiti-8492	79	29	the	the	DET
aiti-8492	79	30	real	real	ADJ
aiti-8492	79	31	estate	estate	NOUN
aiti-8492	79	32	dataset	dataset	NOUN
aiti-8492	79	33	used	use	VERB
aiti-8492	79	34	in	in	ADP
aiti-8492	79	35	the	the	DET
aiti-8492	79	36	study	study	NOUN
aiti-8492	79	37	is	be	AUX
aiti-8492	79	38	collected	collect	VERB
aiti-8492	79	39	from	from	ADP
aiti-8492	79	40	scratch	scratch	NOUN
aiti-8492	79	41	and	and	CCONJ
aiti-8492	79	42	cleaned	clean	VERB
aiti-8492	79	43	thoroughly	thoroughly	ADV
aiti-8492	79	44	.	.	PUNCT
aiti-8492	80	1	by	by	ADP
aiti-8492	80	2	adopting	adopt	VERB
aiti-8492	80	3	the	the	DET
aiti-8492	80	4	entity	entity	NOUN
aiti-8492	80	5	embedding	embed	VERB
aiti-8492	80	6	approach	approach	NOUN
aiti-8492	80	7	,	,	PUNCT
aiti-8492	80	8	especially	especially	ADV
aiti-8492	80	9	for	for	ADP
aiti-8492	80	10	the	the	DET
aiti-8492	80	11	data	datum	NOUN
aiti-8492	80	12	with	with	ADP
aiti-8492	80	13	high	high	ADJ
aiti-8492	80	14	-	-	PUNCT
aiti-8492	80	15	cardinality	cardinality	NOUN
aiti-8492	80	16	categorical	categorical	ADJ
aiti-8492	80	17	variables	variable	NOUN
aiti-8492	80	18	,	,	PUNCT
aiti-8492	80	19	several	several	ADJ
aiti-8492	80	20	problems	problem	NOUN
aiti-8492	80	21	can	can	AUX
aiti-8492	80	22	be	be	AUX
aiti-8492	80	23	mitigated	mitigate	VERB
aiti-8492	80	24	.	.	PUNCT
aiti-8492	81	1	first	first	ADV
aiti-8492	81	2	,	,	PUNCT
aiti-8492	81	3	an	an	DET
aiti-8492	81	4	unrealistic	unrealistic	ADJ
aiti-8492	81	5	amount	amount	NOUN
aiti-8492	81	6	of	of	ADP
aiti-8492	81	7	computational	computational	ADJ
aiti-8492	81	8	resource	resource	NOUN
aiti-8492	81	9	consumption	consumption	NOUN
aiti-8492	81	10	can	can	AUX
aiti-8492	81	11	be	be	AUX
aiti-8492	81	12	avoided	avoid	VERB
aiti-8492	81	13	owing	owe	VERB
aiti-8492	81	14	to	to	ADP
aiti-8492	81	15	the	the	DET
aiti-8492	81	16	traditional	traditional	ADJ
aiti-8492	81	17	one	one	NUM
aiti-8492	81	18	-	-	PUNCT
aiti-8492	81	19	hot	hot	ADJ
aiti-8492	81	20	encoding	encoding	NOUN
aiti-8492	81	21	of	of	ADP
aiti-8492	81	22	high	high	ADJ
aiti-8492	81	23	-	-	PUNCT
aiti-8492	81	24	cardinality	cardinality	NOUN
aiti-8492	81	25	variables	variable	NOUN
aiti-8492	81	26	.	.	PUNCT
aiti-8492	82	1	second	second	ADJ
aiti-8492	82	2	,	,	PUNCT
aiti-8492	82	3	different	different	ADJ
aiti-8492	82	4	values	value	NOUN
aiti-8492	82	5	of	of	ADP
aiti-8492	82	6	categorical	categorical	ADJ
aiti-8492	82	7	variables	variable	NOUN
aiti-8492	82	8	can	can	AUX
aiti-8492	82	9	be	be	AUX
aiti-8492	82	10	treated	treat	VERB
aiti-8492	82	11	in	in	ADP
aiti-8492	82	12	a	a	DET
aiti-8492	82	13	meaningful	meaningful	ADJ
aiti-8492	82	14	manner	manner	NOUN
aiti-8492	82	15	,	,	PUNCT
aiti-8492	82	16	instead	instead	ADV
aiti-8492	82	17	of	of	ADP
aiti-8492	82	18	processing	process	VERB
aiti-8492	82	19	them	they	PRON
aiti-8492	82	20	completely	completely	ADV
aiti-8492	82	21	independently	independently	ADV
aiti-8492	82	22	from	from	ADP
aiti-8492	82	23	each	each	DET
aiti-8492	82	24	other	other	ADJ
aiti-8492	82	25	.	.	PUNCT
aiti-8492	83	1	third	third	ADV
aiti-8492	83	2	,	,	PUNCT
aiti-8492	83	3	the	the	DET
aiti-8492	83	4	feature	feature	NOUN
aiti-8492	83	5	engineering	engineering	NOUN
aiti-8492	83	6	step	step	NOUN
aiti-8492	83	7	is	be	AUX
aiti-8492	83	8	avoided	avoid	VERB
aiti-8492	83	9	because	because	SCONJ
aiti-8492	83	10	the	the	DET
aiti-8492	83	11	embeddings	embedding	NOUN
aiti-8492	83	12	,	,	PUNCT
aiti-8492	83	13	by	by	ADP
aiti-8492	83	14	nature	nature	NOUN
aiti-8492	83	15	,	,	PUNCT
aiti-8492	83	16	can	can	AUX
aiti-8492	83	17	intrinsically	intrinsically	ADV
aiti-8492	83	18	group	group	VERB
aiti-8492	83	19	similar	similar	ADJ
aiti-8492	83	20	values	value	NOUN
aiti-8492	83	21	together	together	ADV
aiti-8492	83	22	,	,	PUNCT
aiti-8492	83	23	thereby	thereby	ADV
aiti-8492	83	24	removing	remove	VERB
aiti-8492	83	25	the	the	DET
aiti-8492	83	26	need	need	NOUN
aiti-8492	83	27	for	for	SCONJ
aiti-8492	83	28	domain	domain	NOUN
aiti-8492	83	29	experts	expert	NOUN
aiti-8492	83	30	to	to	PART
aiti-8492	83	31	learn	learn	VERB
aiti-8492	83	32	the	the	DET
aiti-8492	83	33	relationships	relationship	NOUN
aiti-8492	83	34	between	between	ADP
aiti-8492	83	35	values	value	NOUN
aiti-8492	83	36	in	in	ADP
aiti-8492	83	37	the	the	DET
aiti-8492	83	38	same	same	ADJ
aiti-8492	83	39	categorical	categorical	ADJ
aiti-8492	83	40	variable	variable	NOUN
aiti-8492	83	41	.	.	PUNCT
aiti-8492	84	1	finally	finally	ADV
aiti-8492	84	2	,	,	PUNCT
aiti-8492	84	3	the	the	DET
aiti-8492	84	4	learned	learn	VERB
aiti-8492	84	5	embedding	embed	VERB
aiti-8492	84	6	vectors	vector	NOUN
aiti-8492	84	7	can	can	AUX
aiti-8492	84	8	be	be	AUX
aiti-8492	84	9	visualized	visualize	VERB
aiti-8492	84	10	using	use	VERB
aiti-8492	84	11	a	a	DET
aiti-8492	84	12	dimensionality	dimensionality	NOUN
aiti-8492	84	13	reduction	reduction	NOUN
aiti-8492	84	14	technique	technique	NOUN
aiti-8492	84	15	,	,	PUNCT
aiti-8492	84	16	providing	provide	VERB
aiti-8492	84	17	additional	additional	ADJ
aiti-8492	84	18	insights	insight	NOUN
aiti-8492	84	19	to	to	ADP
aiti-8492	84	20	business	business	NOUN
aiti-8492	84	21	practitioners	practitioner	NOUN
aiti-8492	84	22	.	.	PUNCT
aiti-8492	85	1	fig	fig	NOUN
aiti-8492	85	2	.	.	PUNCT
aiti-8492	86	1	1	1	NUM
aiti-8492	86	2	vector	vector	NOUN
aiti-8492	86	3	representation	representation	NOUN
aiti-8492	86	4	of	of	ADP
aiti-8492	86	5	entity	entity	NOUN
aiti-8492	86	6	embedding	embed	VERB
aiti-8492	86	7	in	in	ADP
aiti-8492	86	8	the	the	DET
aiti-8492	86	9	case	case	NOUN
aiti-8492	86	10	of	of	ADP
aiti-8492	86	11	“	"	PUNCT
aiti-8492	86	12	pet	pet	ADJ
aiti-8492	86	13	breeds	breed	NOUN
aiti-8492	86	14	”	"	PUNCT
aiti-8492	86	15	32	32	NUM
aiti-8492	86	16	advances	advance	NOUN
aiti-8492	86	17	in	in	ADP
aiti-8492	86	18	technology	technology	NOUN
aiti-8492	86	19	innovation	innovation	NOUN
aiti-8492	86	20	,	,	PUNCT
aiti-8492	86	21	vol	vol	NOUN
aiti-8492	86	22	.	.	PROPN
aiti-8492	86	23	7	7	NUM
aiti-8492	86	24	,	,	PUNCT
aiti-8492	86	25	no	no	INTJ
aiti-8492	86	26	.	.	NOUN
aiti-8492	86	27	1	1	NUM
aiti-8492	86	28	,	,	PUNCT
aiti-8492	86	29	2022	2022	NUM
aiti-8492	86	30	,	,	PUNCT
aiti-8492	86	31	pp	pp	ADJ
aiti-8492	86	32	.	.	PUNCT
aiti-8492	87	1	30	30	NUM
aiti-8492	87	2	-	-	SYM
aiti-8492	87	3	40	40	NUM
aiti-8492	87	4	in	in	ADP
aiti-8492	87	5	this	this	DET
aiti-8492	87	6	study	study	NOUN
aiti-8492	87	7	,	,	PUNCT
aiti-8492	87	8	the	the	DET
aiti-8492	87	9	embedding	embed	VERB
aiti-8492	87	10	vectors	vector	NOUN
aiti-8492	87	11	are	be	AUX
aiti-8492	87	12	created	create	VERB
aiti-8492	87	13	by	by	ADP
aiti-8492	87	14	neural	neural	ADJ
aiti-8492	87	15	network	network	NOUN
aiti-8492	87	16	training	training	NOUN
aiti-8492	87	17	for	for	ADP
aiti-8492	87	18	high	high	ADJ
aiti-8492	87	19	-	-	PUNCT
aiti-8492	87	20	cardinality	cardinality	NOUN
aiti-8492	87	21	variables	variable	NOUN
aiti-8492	87	22	and	and	CCONJ
aiti-8492	87	23	added	add	VERB
aiti-8492	87	24	to	to	ADP
aiti-8492	87	25	the	the	DET
aiti-8492	87	26	existing	exist	VERB
aiti-8492	87	27	dataset	dataset	NOUN
aiti-8492	87	28	that	that	PRON
aiti-8492	87	29	comprises	comprise	VERB
aiti-8492	87	30	continuous	continuous	ADJ
aiti-8492	87	31	variables	variable	NOUN
aiti-8492	87	32	.	.	PUNCT
aiti-8492	88	1	subsequently	subsequently	ADV
aiti-8492	88	2	,	,	PUNCT
aiti-8492	88	3	to	to	PART
aiti-8492	88	4	overcome	overcome	VERB
aiti-8492	88	5	the	the	DET
aiti-8492	88	6	inefficiency	inefficiency	NOUN
aiti-8492	88	7	observed	observe	VERB
aiti-8492	88	8	in	in	ADP
aiti-8492	88	9	the	the	DET
aiti-8492	88	10	one	one	NUM
aiti-8492	88	11	-	-	PUNCT
aiti-8492	88	12	hot	hot	ADJ
aiti-8492	88	13	encoding	encoding	NOUN
aiti-8492	88	14	and	and	CCONJ
aiti-8492	88	15	gower	gower	PROPN
aiti-8492	88	16	distance	distance	PROPN
aiti-8492	88	17	approaches	approach	NOUN
aiti-8492	88	18	,	,	PUNCT
aiti-8492	88	19	the	the	DET
aiti-8492	88	20	euclidean	euclidean	ADJ
aiti-8492	88	21	distance	distance	NOUN
aiti-8492	88	22	is	be	AUX
aiti-8492	88	23	calculated	calculate	VERB
aiti-8492	88	24	for	for	ADP
aiti-8492	88	25	this	this	DET
aiti-8492	88	26	combined	combine	VERB
aiti-8492	88	27	dataset	dataset	NOUN
aiti-8492	88	28	.	.	PUNCT
aiti-8492	89	1	2.2	2.2	NUM
aiti-8492	89	2	.	.	PUNCT
aiti-8492	89	3	application	application	NOUN
aiti-8492	89	4	to	to	ADP
aiti-8492	89	5	real	real	ADJ
aiti-8492	89	6	estate	estate	NOUN
aiti-8492	89	7	market	market	NOUN
aiti-8492	89	8	delineation	delineation	NOUN
aiti-8492	89	9	because	because	SCONJ
aiti-8492	89	10	buyers	buyer	NOUN
aiti-8492	89	11	and	and	CCONJ
aiti-8492	89	12	sellers	seller	NOUN
aiti-8492	89	13	require	require	VERB
aiti-8492	89	14	different	different	ADJ
aiti-8492	89	15	types	type	NOUN
aiti-8492	89	16	of	of	ADP
aiti-8492	89	17	properties	property	NOUN
aiti-8492	89	18	for	for	ADP
aiti-8492	89	19	different	different	ADJ
aiti-8492	89	20	reasons	reason	NOUN
aiti-8492	89	21	,	,	PUNCT
aiti-8492	89	22	the	the	DET
aiti-8492	89	23	real	real	ADJ
aiti-8492	89	24	estate	estate	NOUN
aiti-8492	89	25	market	market	NOUN
aiti-8492	89	26	is	be	AUX
aiti-8492	89	27	almost	almost	ADV
aiti-8492	89	28	always	always	ADV
aiti-8492	89	29	divided	divide	VERB
aiti-8492	89	30	into	into	ADP
aiti-8492	89	31	submarkets	submarket	NOUN
aiti-8492	89	32	within	within	ADP
aiti-8492	89	33	those	those	DET
aiti-8492	89	34	property	property	NOUN
aiti-8492	89	35	types	type	NOUN
aiti-8492	89	36	and	and	CCONJ
aiti-8492	89	37	sales	sale	NOUN
aiti-8492	89	38	motivations	motivation	NOUN
aiti-8492	89	39	.	.	PUNCT
aiti-8492	90	1	because	because	SCONJ
aiti-8492	90	2	real	real	ADJ
aiti-8492	90	3	estate	estate	NOUN
aiti-8492	90	4	is	be	AUX
aiti-8492	90	5	best	well	ADV
aiti-8492	90	6	characterized	characterize	VERB
aiti-8492	90	7	by	by	ADP
aiti-8492	90	8	its	its	PRON
aiti-8492	90	9	fixed	fix	VERB
aiti-8492	90	10	location	location	NOUN
aiti-8492	90	11	,	,	PUNCT
aiti-8492	90	12	its	its	PRON
aiti-8492	90	13	market	market	NOUN
aiti-8492	90	14	delineation	delineation	NOUN
aiti-8492	90	15	usually	usually	ADV
aiti-8492	90	16	involves	involve	VERB
aiti-8492	90	17	defining	define	VERB
aiti-8492	90	18	geographical	geographical	ADJ
aiti-8492	90	19	boundaries	boundary	NOUN
aiti-8492	91	1	[	[	X
aiti-8492	91	2	21	21	NUM
aiti-8492	91	3	-	-	SYM
aiti-8492	91	4	22	22	NUM
aiti-8492	91	5	]	]	PUNCT
aiti-8492	91	6	.	.	PUNCT
aiti-8492	92	1	it	it	PRON
aiti-8492	92	2	is	be	AUX
aiti-8492	92	3	routine	routine	ADJ
aiti-8492	92	4	that	that	SCONJ
aiti-8492	92	5	licensed	license	VERB
aiti-8492	92	6	appraisers	appraiser	NOUN
aiti-8492	92	7	and	and	CCONJ
aiti-8492	92	8	automated	automate	VERB
aiti-8492	92	9	valuation	valuation	NOUN
aiti-8492	92	10	models	model	NOUN
aiti-8492	92	11	first	first	ADV
aiti-8492	92	12	identify	identify	VERB
aiti-8492	92	13	the	the	DET
aiti-8492	92	14	relevant	relevant	ADJ
aiti-8492	92	15	submarket	submarket	NOUN
aiti-8492	92	16	boundaries	boundary	NOUN
aiti-8492	92	17	and	and	CCONJ
aiti-8492	92	18	then	then	ADV
aiti-8492	92	19	analyze	analyze	VERB
aiti-8492	92	20	the	the	DET
aiti-8492	92	21	supply	supply	NOUN
aiti-8492	92	22	and	and	CCONJ
aiti-8492	92	23	demand	demand	NOUN
aiti-8492	92	24	of	of	ADP
aiti-8492	92	25	the	the	DET
aiti-8492	92	26	proposed	propose	VERB
aiti-8492	92	27	properties	property	NOUN
aiti-8492	92	28	within	within	ADP
aiti-8492	92	29	a	a	DET
aiti-8492	92	30	specific	specific	ADJ
aiti-8492	92	31	submarket	submarket	NOUN
aiti-8492	92	32	.	.	PUNCT
aiti-8492	93	1	a	a	DET
aiti-8492	93	2	submarket	submarket	NOUN
aiti-8492	93	3	is	be	AUX
aiti-8492	93	4	generally	generally	ADV
aiti-8492	93	5	associated	associate	VERB
aiti-8492	93	6	with	with	ADP
aiti-8492	93	7	a	a	DET
aiti-8492	93	8	group	group	NOUN
aiti-8492	93	9	of	of	ADP
aiti-8492	93	10	similar	similar	ADJ
aiti-8492	93	11	properties	property	NOUN
aiti-8492	93	12	in	in	ADP
aiti-8492	93	13	terms	term	NOUN
aiti-8492	93	14	of	of	ADP
aiti-8492	93	15	price	price	NOUN
aiti-8492	93	16	level	level	NOUN
aiti-8492	93	17	and	and	CCONJ
aiti-8492	93	18	geographical	geographical	ADJ
aiti-8492	93	19	location	location	NOUN
aiti-8492	93	20	.	.	PUNCT
aiti-8492	94	1	various	various	ADJ
aiti-8492	94	2	methods	method	NOUN
aiti-8492	94	3	have	have	AUX
aiti-8492	94	4	been	be	AUX
aiti-8492	94	5	proposed	propose	VERB
aiti-8492	94	6	to	to	PART
aiti-8492	94	7	delineate	delineate	VERB
aiti-8492	94	8	the	the	DET
aiti-8492	94	9	real	real	ADJ
aiti-8492	94	10	estate	estate	NOUN
aiti-8492	94	11	market	market	NOUN
aiti-8492	94	12	;	;	PUNCT
aiti-8492	94	13	examples	example	NOUN
aiti-8492	94	14	of	of	ADP
aiti-8492	94	15	these	these	DET
aiti-8492	94	16	methods	method	NOUN
aiti-8492	94	17	range	range	VERB
aiti-8492	94	18	from	from	ADP
aiti-8492	94	19	well	well	ADV
aiti-8492	94	20	-	-	PUNCT
aiti-8492	94	21	established	establish	VERB
aiti-8492	94	22	approaches	approach	NOUN
aiti-8492	94	23	,	,	PUNCT
aiti-8492	94	24	such	such	ADJ
aiti-8492	94	25	as	as	ADP
aiti-8492	94	26	automatic	automatic	ADJ
aiti-8492	94	27	zoning	zoning	NOUN
aiti-8492	94	28	procedure	procedure	NOUN
aiti-8492	94	29	[	[	X
aiti-8492	94	30	23	23	NUM
aiti-8492	94	31	-	-	SYM
aiti-8492	94	32	24	24	NUM
aiti-8492	94	33	]	]	PUNCT
aiti-8492	94	34	and	and	CCONJ
aiti-8492	94	35	spatial	spatial	ADJ
aiti-8492	94	36	‘	'	PUNCT
aiti-8492	94	37	k’luster	k’luster	ADJ
aiti-8492	94	38	analysis	analysis	NOUN
aiti-8492	94	39	by	by	ADP
aiti-8492	94	40	tree	tree	NOUN
aiti-8492	94	41	edge	edge	NOUN
aiti-8492	94	42	removal	removal	NOUN
aiti-8492	94	43	algorithm	algorithm	NOUN
aiti-8492	94	44	[	[	X
aiti-8492	94	45	25	25	NUM
aiti-8492	94	46	-	-	SYM
aiti-8492	94	47	26	26	NUM
aiti-8492	94	48	]	]	PUNCT
aiti-8492	94	49	,	,	PUNCT
aiti-8492	94	50	to	to	PART
aiti-8492	94	51	more	more	ADV
aiti-8492	94	52	recently	recently	ADV
aiti-8492	94	53	suggested	suggest	VERB
aiti-8492	94	54	methods	method	NOUN
aiti-8492	94	55	,	,	PUNCT
aiti-8492	94	56	such	such	ADJ
aiti-8492	94	57	as	as	ADP
aiti-8492	94	58	adaptive	adaptive	ADJ
aiti-8492	94	59	density	density	NOUN
aiti-8492	94	60	-	-	PUNCT
aiti-8492	94	61	based	base	VERB
aiti-8492	94	62	spatial	spatial	ADJ
aiti-8492	94	63	clustering	clustering	ADJ
aiti-8492	94	64	[	[	X
aiti-8492	94	65	27	27	NUM
aiti-8492	94	66	-	-	SYM
aiti-8492	94	67	28	28	NUM
aiti-8492	94	68	]	]	PUNCT
aiti-8492	94	69	.	.	PUNCT
aiti-8492	95	1	most	most	ADJ
aiti-8492	95	2	of	of	ADP
aiti-8492	95	3	these	these	DET
aiti-8492	95	4	methods	method	NOUN
aiti-8492	95	5	are	be	AUX
aiti-8492	95	6	based	base	VERB
aiti-8492	95	7	on	on	ADP
aiti-8492	95	8	a	a	DET
aiti-8492	95	9	range	range	NOUN
aiti-8492	95	10	of	of	ADP
aiti-8492	95	11	data	data	NOUN
aiti-8492	95	12	-	-	PUNCT
aiti-8492	95	13	driven	drive	VERB
aiti-8492	95	14	algorithms	algorithm	NOUN
aiti-8492	95	15	.	.	PUNCT
aiti-8492	96	1	the	the	DET
aiti-8492	96	2	most	most	ADV
aiti-8492	96	3	popular	popular	ADJ
aiti-8492	96	4	algorithm	algorithm	NOUN
aiti-8492	96	5	for	for	ADP
aiti-8492	96	6	market	market	NOUN
aiti-8492	96	7	delineation	delineation	NOUN
aiti-8492	96	8	is	be	AUX
aiti-8492	96	9	a	a	DET
aiti-8492	96	10	clustering	clustering	ADJ
aiti-8492	96	11	algorithm	algorithm	NOUN
aiti-8492	96	12	.	.	PUNCT
aiti-8492	97	1	conversely	conversely	ADV
aiti-8492	97	2	,	,	PUNCT
aiti-8492	97	3	a	a	DET
aiti-8492	97	4	clustering	cluster	VERB
aiti-8492	97	5	procedure	procedure	NOUN
aiti-8492	97	6	is	be	AUX
aiti-8492	97	7	performed	perform	VERB
aiti-8492	97	8	using	use	VERB
aiti-8492	97	9	relevant	relevant	ADJ
aiti-8492	97	10	variables	variable	NOUN
aiti-8492	97	11	such	such	ADJ
aiti-8492	97	12	as	as	ADP
aiti-8492	97	13	price	price	NOUN
aiti-8492	97	14	and	and	CCONJ
aiti-8492	97	15	geographical	geographical	ADJ
aiti-8492	97	16	location	location	NOUN
aiti-8492	97	17	,	,	PUNCT
aiti-8492	97	18	following	follow	VERB
aiti-8492	97	19	which	which	PRON
aiti-8492	97	20	the	the	DET
aiti-8492	97	21	clustering	clustering	NOUN
aiti-8492	97	22	results	result	NOUN
aiti-8492	97	23	are	be	AUX
aiti-8492	97	24	evaluated	evaluate	VERB
aiti-8492	97	25	considering	consider	VERB
aiti-8492	97	26	both	both	CCONJ
aiti-8492	97	27	internal	internal	ADJ
aiti-8492	97	28	and	and	CCONJ
aiti-8492	97	29	external	external	ADJ
aiti-8492	97	30	validity	validity	NOUN
aiti-8492	97	31	measures	measure	NOUN
aiti-8492	97	32	[	[	X
aiti-8492	97	33	29	29	NUM
aiti-8492	97	34	-	-	SYM
aiti-8492	97	35	30	30	NUM
aiti-8492	97	36	]	]	PUNCT
aiti-8492	97	37	.	.	PUNCT
aiti-8492	98	1	representative	representative	ADJ
aiti-8492	98	2	indices	index	NOUN
aiti-8492	98	3	for	for	ADP
aiti-8492	98	4	internal	internal	ADJ
aiti-8492	98	5	validity	validity	NOUN
aiti-8492	98	6	measures	measure	NOUN
aiti-8492	98	7	include	include	VERB
aiti-8492	98	8	inertia	inertia	NOUN
aiti-8492	98	9	and	and	CCONJ
aiti-8492	98	10	silhouette	silhouette	NOUN
aiti-8492	98	11	score	score	NOUN
aiti-8492	98	12	;	;	PUNCT
aiti-8492	98	13	however	however	ADV
aiti-8492	98	14	,	,	PUNCT
aiti-8492	98	15	the	the	DET
aiti-8492	98	16	criteria	criterion	NOUN
aiti-8492	98	17	for	for	ADP
aiti-8492	98	18	external	external	ADJ
aiti-8492	98	19	validity	validity	NOUN
aiti-8492	98	20	measures	measure	NOUN
aiti-8492	98	21	can	can	AUX
aiti-8492	98	22	vary	vary	VERB
aiti-8492	98	23	depending	depend	VERB
aiti-8492	98	24	on	on	ADP
aiti-8492	98	25	the	the	DET
aiti-8492	98	26	dataset	dataset	NOUN
aiti-8492	98	27	and	and	CCONJ
aiti-8492	98	28	research	research	NOUN
aiti-8492	98	29	purpose	purpose	NOUN
aiti-8492	99	1	[	[	X
aiti-8492	99	2	31	31	NUM
aiti-8492	99	3	-	-	SYM
aiti-8492	99	4	34	34	NUM
aiti-8492	99	5	]	]	PUNCT
aiti-8492	99	6	.	.	PUNCT
aiti-8492	100	1	this	this	DET
aiti-8492	100	2	study	study	NOUN
aiti-8492	100	3	adopts	adopt	VERB
aiti-8492	100	4	a	a	DET
aiti-8492	100	5	k	k	NOUN
aiti-8492	100	6	-	-	PUNCT
aiti-8492	100	7	means	means	NOUN
aiti-8492	100	8	clustering	cluster	VERB
aiti-8492	100	9	algorithm	algorithm	NOUN
aiti-8492	100	10	to	to	ADP
aiti-8492	100	11	group	group	NOUN
aiti-8492	100	12	similar	similar	ADJ
aiti-8492	100	13	observations	observation	NOUN
aiti-8492	100	14	(	(	PUNCT
aiti-8492	100	15	sales	sale	NOUN
aiti-8492	100	16	records	record	NOUN
aiti-8492	100	17	of	of	ADP
aiti-8492	100	18	land	land	NOUN
aiti-8492	100	19	in	in	ADP
aiti-8492	100	20	this	this	DET
aiti-8492	100	21	study	study	NOUN
aiti-8492	100	22	)	)	PUNCT
aiti-8492	100	23	into	into	ADP
aiti-8492	100	24	several	several	ADJ
aiti-8492	100	25	distinct	distinct	ADJ
aiti-8492	100	26	clusters	cluster	NOUN
aiti-8492	100	27	,	,	PUNCT
aiti-8492	100	28	which	which	PRON
aiti-8492	100	29	serve	serve	VERB
aiti-8492	100	30	as	as	ADP
aiti-8492	100	31	real	real	ADJ
aiti-8492	100	32	estate	estate	NOUN
aiti-8492	100	33	submarkets	submarket	NOUN
aiti-8492	100	34	for	for	ADP
aiti-8492	100	35	the	the	DET
aiti-8492	100	36	purpose	purpose	NOUN
aiti-8492	100	37	of	of	ADP
aiti-8492	100	38	price	price	NOUN
aiti-8492	100	39	estimation	estimation	NOUN
aiti-8492	100	40	.	.	PUNCT
aiti-8492	101	1	several	several	ADJ
aiti-8492	101	2	studies	study	NOUN
aiti-8492	101	3	utilized	utilize	VERB
aiti-8492	101	4	price	price	NOUN
aiti-8492	101	5	estimation	estimation	NOUN
aiti-8492	101	6	results	result	NOUN
aiti-8492	101	7	to	to	PART
aiti-8492	101	8	test	test	VERB
aiti-8492	101	9	market	market	NOUN
aiti-8492	101	10	segmentation	segmentation	NOUN
aiti-8492	101	11	,	,	PUNCT
aiti-8492	101	12	and	and	CCONJ
aiti-8492	101	13	they	they	PRON
aiti-8492	101	14	proved	prove	VERB
aiti-8492	101	15	that	that	SCONJ
aiti-8492	101	16	market	market	NOUN
aiti-8492	101	17	delineations	delineation	NOUN
aiti-8492	101	18	improved	improve	VERB
aiti-8492	101	19	the	the	DET
aiti-8492	101	20	accuracy	accuracy	NOUN
aiti-8492	101	21	of	of	ADP
aiti-8492	101	22	price	price	NOUN
aiti-8492	101	23	estimation	estimation	NOUN
aiti-8492	101	24	[	[	X
aiti-8492	101	25	35	35	NUM
aiti-8492	101	26	-	-	SYM
aiti-8492	101	27	37	37	NUM
aiti-8492	101	28	]	]	PUNCT
aiti-8492	101	29	.	.	PUNCT
aiti-8492	102	1	3	3	X
aiti-8492	102	2	.	.	X
aiti-8492	102	3	embedding	embed	VERB
aiti-8492	102	4	vectors	vector	NOUN
aiti-8492	102	5	and	and	CCONJ
aiti-8492	102	6	silhouette	silhouette	NOUN
aiti-8492	102	7	score	score	NOUN
aiti-8492	102	8	3.1	3.1	NUM
aiti-8492	102	9	.	.	PUNCT
aiti-8492	102	10	dataset	dataset	VERB
aiti-8492	102	11	this	this	DET
aiti-8492	102	12	study	study	NOUN
aiti-8492	102	13	estimates	estimate	VERB
aiti-8492	102	14	the	the	DET
aiti-8492	102	15	land	land	NOUN
aiti-8492	102	16	prices	price	NOUN
aiti-8492	102	17	in	in	ADP
aiti-8492	102	18	gwacheon	gwacheon	NOUN
aiti-8492	102	19	-	-	PUNCT
aiti-8492	102	20	si	si	ADJ
aiti-8492	102	21	,	,	PUNCT
aiti-8492	102	22	gyeonggi	gyeonggi	NOUN
aiti-8492	102	23	province	province	NOUN
aiti-8492	102	24	,	,	PUNCT
aiti-8492	102	25	south	south	PROPN
aiti-8492	102	26	korea	korea	PROPN
aiti-8492	102	27	.	.	PUNCT
aiti-8492	103	1	with	with	ADP
aiti-8492	103	2	a	a	DET
aiti-8492	103	3	population	population	NOUN
aiti-8492	103	4	of	of	ADP
aiti-8492	103	5	over	over	ADP
aiti-8492	103	6	13	13	NUM
aiti-8492	103	7	million	million	NUM
aiti-8492	103	8	,	,	PUNCT
aiti-8492	103	9	gyeonggi	gyeonggi	NOUN
aiti-8492	103	10	province	province	NOUN
aiti-8492	103	11	is	be	AUX
aiti-8492	103	12	the	the	DET
aiti-8492	103	13	most	most	ADV
aiti-8492	103	14	populous	populous	ADJ
aiti-8492	103	15	province	province	NOUN
aiti-8492	103	16	in	in	ADP
aiti-8492	103	17	south	south	PROPN
aiti-8492	103	18	korea	korea	PROPN
aiti-8492	104	1	[	[	X
aiti-8492	104	2	38	38	NUM
aiti-8492	104	3	]	]	PUNCT
aiti-8492	104	4	.	.	PUNCT
aiti-8492	105	1	the	the	DET
aiti-8492	105	2	gwacheon	gwacheon	PROPN
aiti-8492	105	3	-	-	PUNCT
aiti-8492	105	4	si	si	PROPN
aiti-8492	105	5	government	government	NOUN
aiti-8492	105	6	is	be	AUX
aiti-8492	105	7	one	one	NUM
aiti-8492	105	8	of	of	ADP
aiti-8492	105	9	the	the	DET
aiti-8492	105	10	45	45	NUM
aiti-8492	105	11	local	local	ADJ
aiti-8492	105	12	governments	government	NOUN
aiti-8492	105	13	in	in	ADP
aiti-8492	105	14	gyeonggi	gyeonggi	NOUN
aiti-8492	105	15	province	province	NOUN
aiti-8492	105	16	,	,	PUNCT
aiti-8492	105	17	and	and	CCONJ
aiti-8492	105	18	gwacheon	gwacheon	NOUN
aiti-8492	105	19	-	-	PUNCT
aiti-8492	105	20	si	si	NOUN
aiti-8492	105	21	comprises	comprise	VERB
aiti-8492	105	22	both	both	CCONJ
aiti-8492	105	23	urban	urban	ADJ
aiti-8492	105	24	and	and	CCONJ
aiti-8492	105	25	rural	rural	ADJ
aiti-8492	105	26	areas	area	NOUN
aiti-8492	105	27	.	.	PUNCT
aiti-8492	106	1	this	this	DET
aiti-8492	106	2	mixed	mixed	ADJ
aiti-8492	106	3	landscape	landscape	NOUN
aiti-8492	106	4	is	be	AUX
aiti-8492	106	5	the	the	DET
aiti-8492	106	6	main	main	ADJ
aiti-8492	106	7	reason	reason	NOUN
aiti-8492	106	8	behind	behind	ADP
aiti-8492	106	9	choosing	choose	VERB
aiti-8492	106	10	gwacheon	gwacheon	NOUN
aiti-8492	106	11	-	-	PUNCT
aiti-8492	106	12	si	si	PROPN
aiti-8492	106	13	for	for	ADP
aiti-8492	106	14	the	the	DET
aiti-8492	106	15	analysis	analysis	NOUN
aiti-8492	106	16	because	because	SCONJ
aiti-8492	106	17	the	the	DET
aiti-8492	106	18	heterogeneity	heterogeneity	NOUN
aiti-8492	106	19	strongly	strongly	ADV
aiti-8492	106	20	indicates	indicate	VERB
aiti-8492	106	21	the	the	DET
aiti-8492	106	22	need	need	NOUN
aiti-8492	106	23	for	for	ADP
aiti-8492	106	24	market	market	NOUN
aiti-8492	106	25	segmentation	segmentation	NOUN
aiti-8492	106	26	.	.	PUNCT
aiti-8492	107	1	the	the	DET
aiti-8492	107	2	dataset	dataset	NOUN
aiti-8492	107	3	is	be	AUX
aiti-8492	107	4	periodically	periodically	ADV
aiti-8492	107	5	provided	provide	VERB
aiti-8492	107	6	in	in	ADP
aiti-8492	107	7	a	a	DET
aiti-8492	107	8	comma	comma	NOUN
aiti-8492	107	9	-	-	PUNCT
aiti-8492	107	10	separated	separate	VERB
aiti-8492	107	11	value	value	NOUN
aiti-8492	107	12	file	file	NOUN
aiti-8492	107	13	format	format	NOUN
aiti-8492	107	14	by	by	ADP
aiti-8492	107	15	the	the	DET
aiti-8492	107	16	ministry	ministry	PROPN
aiti-8492	107	17	of	of	ADP
aiti-8492	107	18	land	land	PROPN
aiti-8492	107	19	,	,	PUNCT
aiti-8492	107	20	infrastructure	infrastructure	NOUN
aiti-8492	107	21	and	and	CCONJ
aiti-8492	107	22	transport	transport	NOUN
aiti-8492	107	23	(	(	PUNCT
aiti-8492	107	24	molit	molit	ADJ
aiti-8492	107	25	)	)	PUNCT
aiti-8492	107	26	website	website	NOUN
aiti-8492	107	27	,	,	PUNCT
aiti-8492	107	28	and	and	CCONJ
aiti-8492	107	29	have	have	AUX
aiti-8492	107	30	been	be	AUX
aiti-8492	107	31	released	release	VERB
aiti-8492	107	32	by	by	ADP
aiti-8492	107	33	the	the	DET
aiti-8492	107	34	government	government	NOUN
aiti-8492	107	35	since	since	SCONJ
aiti-8492	107	36	2006	2006	NUM
aiti-8492	107	37	,	,	PUNCT
aiti-8492	107	38	when	when	SCONJ
aiti-8492	107	39	the	the	DET
aiti-8492	107	40	act	act	NOUN
aiti-8492	107	41	on	on	ADP
aiti-8492	107	42	report	report	NOUN
aiti-8492	107	43	on	on	ADP
aiti-8492	107	44	real	real	ADJ
aiti-8492	107	45	estate	estate	NOUN
aiti-8492	107	46	transactions	transaction	NOUN
aiti-8492	107	47	was	be	AUX
aiti-8492	107	48	enforced	enforce	VERB
aiti-8492	107	49	.	.	PUNCT
aiti-8492	108	1	these	these	DET
aiti-8492	108	2	land	land	NOUN
aiti-8492	108	3	sales	sale	NOUN
aiti-8492	108	4	records	record	NOUN
aiti-8492	108	5	are	be	AUX
aiti-8492	108	6	used	use	VERB
aiti-8492	108	7	in	in	ADP
aiti-8492	108	8	a	a	DET
aiti-8492	108	9	range	range	NOUN
aiti-8492	108	10	of	of	ADP
aiti-8492	108	11	government	government	NOUN
aiti-8492	108	12	administrations	administration	NOUN
aiti-8492	108	13	,	,	PUNCT
aiti-8492	108	14	such	such	ADJ
aiti-8492	108	15	as	as	ADP
aiti-8492	108	16	monitoring	monitor	VERB
aiti-8492	108	17	the	the	DET
aiti-8492	108	18	real	real	ADJ
aiti-8492	108	19	estate	estate	NOUN
aiti-8492	108	20	market	market	NOUN
aiti-8492	108	21	and	and	CCONJ
aiti-8492	108	22	tax	tax	NOUN
aiti-8492	108	23	assessment	assessment	NOUN
aiti-8492	108	24	for	for	ADP
aiti-8492	108	25	traded	trade	VERB
aiti-8492	108	26	properties	property	NOUN
aiti-8492	108	27	.	.	PUNCT
aiti-8492	109	1	the	the	DET
aiti-8492	109	2	records	record	NOUN
aiti-8492	109	3	are	be	AUX
aiti-8492	109	4	also	also	ADV
aiti-8492	109	5	used	use	VERB
aiti-8492	109	6	in	in	ADP
aiti-8492	109	7	private	private	ADJ
aiti-8492	109	8	sectors	sector	NOUN
aiti-8492	109	9	,	,	PUNCT
aiti-8492	109	10	such	such	ADJ
aiti-8492	109	11	as	as	ADP
aiti-8492	109	12	for	for	ADP
aiti-8492	109	13	the	the	DET
aiti-8492	109	14	valuation	valuation	NOUN
aiti-8492	109	15	of	of	ADP
aiti-8492	109	16	collaterals	collateral	NOUN
aiti-8492	109	17	for	for	ADP
aiti-8492	109	18	loan	loan	NOUN
aiti-8492	109	19	approval	approval	NOUN
aiti-8492	109	20	.	.	PUNCT
aiti-8492	110	1	the	the	DET
aiti-8492	110	2	dataset	dataset	NOUN
aiti-8492	110	3	comprises	comprise	VERB
aiti-8492	110	4	the	the	DET
aiti-8492	110	5	lots	lot	NOUN
aiti-8492	110	6	sold	sell	VERB
aiti-8492	110	7	in	in	ADP
aiti-8492	110	8	gwacheon	gwacheon	NOUN
aiti-8492	110	9	-	-	PUNCT
aiti-8492	110	10	si	si	PROPN
aiti-8492	110	11	from	from	ADP
aiti-8492	110	12	2016	2016	NUM
aiti-8492	110	13	to	to	ADP
aiti-8492	110	14	2018	2018	NUM
aiti-8492	110	15	,	,	PUNCT
aiti-8492	110	16	and	and	CCONJ
aiti-8492	110	17	includes	include	VERB
aiti-8492	110	18	the	the	DET
aiti-8492	110	19	attributes	attribute	NOUN
aiti-8492	110	20	of	of	ADP
aiti-8492	110	21	1,111	1,111	NUM
aiti-8492	110	22	samples	sample	NOUN
aiti-8492	110	23	.	.	PUNCT
aiti-8492	111	1	these	these	DET
aiti-8492	111	2	attributes	attribute	NOUN
aiti-8492	111	3	include	include	VERB
aiti-8492	111	4	sales	sale	NOUN
aiti-8492	111	5	price	price	NOUN
aiti-8492	111	6	,	,	PUNCT
aiti-8492	111	7	zone	zone	NOUN
aiti-8492	111	8	improvement	improvement	NOUN
aiti-8492	111	9	plan	plan	NOUN
aiti-8492	111	10	(	(	PUNCT
aiti-8492	111	11	zip	zip	NOUN
aiti-8492	111	12	)	)	PUNCT
aiti-8492	111	13	code	code	NOUN
aiti-8492	111	14	,	,	PUNCT
aiti-8492	111	15	lot	lot	NOUN
aiti-8492	111	16	shape	shape	NOUN
aiti-8492	111	17	,	,	PUNCT
aiti-8492	111	18	and	and	CCONJ
aiti-8492	111	19	bearing	bearing	NOUN
aiti-8492	111	20	.	.	PUNCT
aiti-8492	112	1	the	the	DET
aiti-8492	112	2	following	follow	VERB
aiti-8492	112	3	variables	variable	NOUN
aiti-8492	112	4	are	be	AUX
aiti-8492	112	5	used	use	VERB
aiti-8492	112	6	for	for	ADP
aiti-8492	112	7	the	the	DET
aiti-8492	112	8	clustering	clustering	ADJ
aiti-8492	112	9	analysis	analysis	NOUN
aiti-8492	112	10	:	:	PUNCT
aiti-8492	112	11	sales	sale	NOUN
aiti-8492	112	12	price	price	NOUN
aiti-8492	112	13	,	,	PUNCT
aiti-8492	112	14	longitude	longitude	NOUN
aiti-8492	112	15	and	and	CCONJ
aiti-8492	112	16	latitude	latitude	NOUN
aiti-8492	112	17	(	(	PUNCT
aiti-8492	112	18	hereafter	hereafter	ADV
aiti-8492	112	19	denoted	denote	VERB
aiti-8492	112	20	as	as	ADP
aiti-8492	112	21	x	x	NOUN
aiti-8492	112	22	-	-	NOUN
aiti-8492	112	23	coordinate	coordinate	NOUN
aiti-8492	112	24	and	and	CCONJ
aiti-8492	112	25	y	y	NOUN
aiti-8492	112	26	-	-	PUNCT
aiti-8492	112	27	coordinate	coordinate	NOUN
aiti-8492	112	28	,	,	PUNCT
aiti-8492	112	29	respectively	respectively	ADV
aiti-8492	112	30	)	)	PUNCT
aiti-8492	112	31	,	,	PUNCT
aiti-8492	112	32	zip	zip	NOUN
aiti-8492	112	33	code	code	NOUN
aiti-8492	112	34	,	,	PUNCT
aiti-8492	112	35	and	and	CCONJ
aiti-8492	112	36	zone	zone	NOUN
aiti-8492	112	37	.	.	PUNCT
aiti-8492	113	1	by	by	ADP
aiti-8492	113	2	employing	employ	VERB
aiti-8492	113	3	these	these	DET
aiti-8492	113	4	five	five	NUM
aiti-8492	113	5	variables	variable	NOUN
aiti-8492	113	6	,	,	PUNCT
aiti-8492	113	7	the	the	DET
aiti-8492	113	8	lots	lot	NOUN
aiti-8492	113	9	close	close	ADJ
aiti-8492	113	10	to	to	ADP
aiti-8492	113	11	each	each	DET
aiti-8492	113	12	other	other	ADJ
aiti-8492	113	13	in	in	ADP
aiti-8492	113	14	terms	term	NOUN
aiti-8492	113	15	of	of	ADP
aiti-8492	113	16	sales	sale	NOUN
aiti-8492	113	17	price	price	NOUN
aiti-8492	113	18	,	,	PUNCT
aiti-8492	113	19	33	33	NUM
aiti-8492	113	20	advances	advance	NOUN
aiti-8492	113	21	in	in	ADP
aiti-8492	113	22	technology	technology	NOUN
aiti-8492	113	23	innovation	innovation	NOUN
aiti-8492	113	24	,	,	PUNCT
aiti-8492	113	25	vol	vol	NOUN
aiti-8492	113	26	.	.	PROPN
aiti-8492	114	1	7	7	NUM
aiti-8492	114	2	,	,	PUNCT
aiti-8492	114	3	no	no	INTJ
aiti-8492	114	4	.	.	NOUN
aiti-8492	114	5	1	1	NUM
aiti-8492	114	6	,	,	PUNCT
aiti-8492	114	7	2022	2022	NUM
aiti-8492	114	8	,	,	PUNCT
aiti-8492	114	9	pp	pp	ADJ
aiti-8492	114	10	.	.	PUNCT
aiti-8492	115	1	30	30	NUM
aiti-8492	115	2	-	-	SYM
aiti-8492	115	3	40	40	NUM
aiti-8492	115	4	geographical	geographical	ADJ
aiti-8492	115	5	location	location	NOUN
aiti-8492	115	6	,	,	PUNCT
aiti-8492	115	7	and	and	CCONJ
aiti-8492	115	8	zoning	zoning	NOUN
aiti-8492	115	9	are	be	AUX
aiti-8492	115	10	expected	expect	VERB
aiti-8492	115	11	to	to	PART
aiti-8492	115	12	group	group	VERB
aiti-8492	115	13	together	together	ADV
aiti-8492	115	14	to	to	PART
aiti-8492	115	15	form	form	VERB
aiti-8492	115	16	a	a	DET
aiti-8492	115	17	submarket	submarket	NOUN
aiti-8492	115	18	.	.	PUNCT
aiti-8492	116	1	although	although	SCONJ
aiti-8492	116	2	more	more	ADJ
aiti-8492	116	3	variables	variable	NOUN
aiti-8492	116	4	,	,	PUNCT
aiti-8492	116	5	such	such	ADJ
aiti-8492	116	6	as	as	ADP
aiti-8492	116	7	lot	lot	NOUN
aiti-8492	116	8	shape	shape	NOUN
aiti-8492	116	9	(	(	PUNCT
aiti-8492	116	10	regular	regular	ADJ
aiti-8492	116	11	or	or	CCONJ
aiti-8492	116	12	irregular	irregular	ADJ
aiti-8492	116	13	)	)	PUNCT
aiti-8492	116	14	and	and	CCONJ
aiti-8492	116	15	bearing	bearing	NOUN
aiti-8492	116	16	,	,	PUNCT
aiti-8492	116	17	are	be	AUX
aiti-8492	116	18	available	available	ADJ
aiti-8492	116	19	as	as	ADP
aiti-8492	116	20	inputs	input	NOUN
aiti-8492	116	21	,	,	PUNCT
aiti-8492	116	22	they	they	PRON
aiti-8492	116	23	reflect	reflect	VERB
aiti-8492	116	24	the	the	DET
aiti-8492	116	25	physical	physical	ADJ
aiti-8492	116	26	characteristics	characteristic	NOUN
aiti-8492	116	27	of	of	ADP
aiti-8492	116	28	individual	individual	ADJ
aiti-8492	116	29	lots	lot	NOUN
aiti-8492	116	30	,	,	PUNCT
aiti-8492	116	31	rather	rather	ADV
aiti-8492	116	32	than	than	ADP
aiti-8492	116	33	neighborhood	neighborhood	NOUN
aiti-8492	116	34	/	/	SYM
aiti-8492	116	35	submarket	submarket	NOUN
aiti-8492	116	36	characteristics	characteristic	NOUN
aiti-8492	116	37	;	;	PUNCT
aiti-8492	116	38	thus	thus	ADV
aiti-8492	116	39	,	,	PUNCT
aiti-8492	116	40	these	these	DET
aiti-8492	116	41	other	other	ADJ
aiti-8492	116	42	variables	variable	NOUN
aiti-8492	116	43	are	be	AUX
aiti-8492	116	44	not	not	PART
aiti-8492	116	45	employed	employ	VERB
aiti-8492	116	46	for	for	ADP
aiti-8492	116	47	market	market	NOUN
aiti-8492	116	48	delineation	delineation	NOUN
aiti-8492	116	49	.	.	PUNCT
aiti-8492	117	1	table	table	NOUN
aiti-8492	117	2	1	1	NUM
aiti-8492	117	3	presents	present	VERB
aiti-8492	117	4	the	the	DET
aiti-8492	117	5	descriptive	descriptive	ADJ
aiti-8492	117	6	statistics	statistic	NOUN
aiti-8492	117	7	of	of	ADP
aiti-8492	117	8	sales	sale	NOUN
aiti-8492	117	9	samples	sample	NOUN
aiti-8492	117	10	.	.	PUNCT
aiti-8492	118	1	table	table	NOUN
aiti-8492	118	2	1	1	NUM
aiti-8492	118	3	descriptive	descriptive	ADJ
aiti-8492	118	4	statistics	statistic	NOUN
aiti-8492	118	5	of	of	ADP
aiti-8492	118	6	the	the	DET
aiti-8492	118	7	1,111	1,111	NUM
aiti-8492	118	8	lots	lot	NOUN
aiti-8492	118	9	sold	sell	VERB
aiti-8492	118	10	from	from	ADP
aiti-8492	118	11	2016	2016	NUM
aiti-8492	118	12	to	to	ADP
aiti-8492	118	13	2018	2018	NUM
aiti-8492	118	14	variable	variable	ADJ
aiti-8492	118	15	min	min	NOUN
aiti-8492	118	16	.	.	PROPN
aiti-8492	118	17	mean	mean	PROPN
aiti-8492	118	18	median	median	PROPN
aiti-8492	118	19	max	max	PROPN
aiti-8492	118	20	.	.	PUNCT
aiti-8492	119	1	sales	sale	NOUN
aiti-8492	119	2	price	price	NOUN
aiti-8492	119	3	(	(	PUNCT
aiti-8492	119	4	krw	krw	PROPN
aiti-8492	119	5	/	/	SYM
aiti-8492	119	6	m	m	PROPN
aiti-8492	119	7	2	2	NUM
aiti-8492	119	8	)	)	PUNCT
aiti-8492	119	9	6,938	6,938	NUM
aiti-8492	119	10	1,539,433	1,539,433	NUM
aiti-8492	119	11	379,753	379,753	NUM
aiti-8492	119	12	22,783,807	22,783,807	NUM
aiti-8492	119	13	zip	zip	NOUN
aiti-8492	119	14	code	code	NOUN
aiti-8492	119	15	(	(	PUNCT
aiti-8492	119	16	25	25	NUM
aiti-8492	119	17	levels	level	NOUN
aiti-8492	119	18	)	)	PUNCT
aiti-8492	119	19	#	#	SYM
aiti-8492	119	20	13820	13820	NUM
aiti-8492	119	21	:	:	PUNCT
aiti-8492	119	22	245	245	NUM
aiti-8492	119	23	(	(	PUNCT
aiti-8492	119	24	22.1	22.1	NUM
aiti-8492	119	25	%	%	NOUN
aiti-8492	119	26	)	)	PUNCT
aiti-8492	119	27	#	#	SYM
aiti-8492	119	28	13840	13840	NUM
aiti-8492	119	29	:	:	PUNCT
aiti-8492	119	30	164	164	NUM
aiti-8492	119	31	(	(	PUNCT
aiti-8492	119	32	14.8	14.8	NUM
aiti-8492	119	33	%	%	NOUN
aiti-8492	119	34	)	)	PUNCT
aiti-8492	119	35	#	#	SYM
aiti-8492	119	36	13814	13814	NUM
aiti-8492	119	37	:	:	PUNCT
aiti-8492	119	38	101	101	NUM
aiti-8492	119	39	(	(	PUNCT
aiti-8492	119	40	9.1	9.1	NUM
aiti-8492	119	41	%	%	NOUN
aiti-8492	119	42	)	)	PUNCT
aiti-8492	119	43	#	#	SYM
aiti-8492	119	44	13813	13813	NUM
aiti-8492	119	45	:	:	PUNCT
aiti-8492	119	46	81	81	NUM
aiti-8492	119	47	(	(	PUNCT
aiti-8492	119	48	7.3	7.3	NUM
aiti-8492	119	49	%	%	NOUN
aiti-8492	119	50	)	)	PUNCT
aiti-8492	119	51	#	#	SYM
aiti-8492	119	52	13801	13801	NUM
aiti-8492	119	53	:	:	PUNCT
aiti-8492	119	54	75	75	NUM
aiti-8492	119	55	(	(	PUNCT
aiti-8492	119	56	6.8	6.8	NUM
aiti-8492	119	57	%	%	NOUN
aiti-8492	119	58	)	)	PUNCT
aiti-8492	119	59	#	#	SYM
aiti-8492	119	60	13824	13824	NUM
aiti-8492	119	61	:	:	PUNCT
aiti-8492	119	62	73	73	NUM
aiti-8492	119	63	(	(	PUNCT
aiti-8492	119	64	6.6	6.6	NUM
aiti-8492	119	65	%	%	NOUN
aiti-8492	119	66	)	)	PUNCT
aiti-8492	119	67	zone	zone	NOUN
aiti-8492	119	68	(	(	PUNCT
aiti-8492	119	69	7	7	NUM
aiti-8492	119	70	levels	level	NOUN
aiti-8492	119	71	)	)	PUNCT
aiti-8492	119	72	green	green	ADJ
aiti-8492	119	73	belt	belt	NOUN
aiti-8492	119	74	:	:	PUNCT
aiti-8492	119	75	951	951	NUM
aiti-8492	119	76	(	(	PUNCT
aiti-8492	119	77	85.6	85.6	NUM
aiti-8492	119	78	%	%	NOUN
aiti-8492	119	79	)	)	PUNCT
aiti-8492	119	80	residence	residence	NOUN
aiti-8492	119	81	3	3	NUM
aiti-8492	119	82	:	:	SYM
aiti-8492	119	83	103	103	NUM
aiti-8492	119	84	(	(	PUNCT
aiti-8492	119	85	9.3	9.3	NUM
aiti-8492	119	86	%	%	NOUN
aiti-8492	119	87	)	)	PUNCT
aiti-8492	119	88	residence	residence	NOUN
aiti-8492	119	89	5	5	NUM
aiti-8492	119	90	:	:	SYM
aiti-8492	119	91	40	40	NUM
aiti-8492	119	92	(	(	PUNCT
aiti-8492	119	93	3.6	3.6	NUM
aiti-8492	119	94	%	%	NOUN
aiti-8492	119	95	)	)	PUNCT
aiti-8492	119	96	natural	natural	ADJ
aiti-8492	119	97	&	&	CCONJ
aiti-8492	119	98	green	green	ADJ
aiti-8492	119	99	area	area	NOUN
aiti-8492	119	100	:	:	PUNCT
aiti-8492	119	101	8	8	NUM
aiti-8492	119	102	(	(	PUNCT
aiti-8492	119	103	0.7	0.7	NUM
aiti-8492	119	104	%	%	NOUN
aiti-8492	119	105	)	)	PUNCT
aiti-8492	119	106	residence	residence	NOUN
aiti-8492	119	107	2	2	NUM
aiti-8492	119	108	:	:	SYM
aiti-8492	119	109	6	6	NUM
aiti-8492	119	110	(	(	PUNCT
aiti-8492	119	111	0.5	0.5	NUM
aiti-8492	119	112	%	%	NOUN
aiti-8492	119	113	)	)	PUNCT
aiti-8492	119	114	residence	residence	NOUN
aiti-8492	119	115	4	4	NUM
aiti-8492	119	116	:	:	SYM
aiti-8492	119	117	2	2	NUM
aiti-8492	119	118	(	(	PUNCT
aiti-8492	119	119	0.2	0.2	NUM
aiti-8492	119	120	%	%	NOUN
aiti-8492	119	121	)	)	PUNCT
aiti-8492	119	122	residence	residence	NOUN
aiti-8492	119	123	1	1	NUM
aiti-8492	119	124	:	:	SYM
aiti-8492	119	125	1	1	NUM
aiti-8492	119	126	(	(	PUNCT
aiti-8492	119	127	0.1	0.1	NUM
aiti-8492	119	128	%	%	NOUN
aiti-8492	119	129	)	)	PUNCT
aiti-8492	120	1	*	*	PUNCT
aiti-8492	120	2	note	note	VERB
aiti-8492	120	3	:	:	PUNCT
aiti-8492	120	4	only	only	ADV
aiti-8492	120	5	primary	primary	ADJ
aiti-8492	120	6	levels	level	NOUN
aiti-8492	120	7	are	be	AUX
aiti-8492	120	8	presented	present	VERB
aiti-8492	120	9	in	in	ADP
aiti-8492	120	10	the	the	DET
aiti-8492	120	11	zip	zip	NOUN
aiti-8492	120	12	code	code	NOUN
aiti-8492	120	13	for	for	ADP
aiti-8492	120	14	readability	readability	NOUN
aiti-8492	120	15	.	.	PUNCT
aiti-8492	121	1	the	the	DET
aiti-8492	121	2	median	median	ADJ
aiti-8492	121	3	sales	sale	NOUN
aiti-8492	121	4	price	price	NOUN
aiti-8492	121	5	of	of	ADP
aiti-8492	121	6	lots	lot	NOUN
aiti-8492	121	7	in	in	ADP
aiti-8492	121	8	gwacheon	gwacheon	NOUN
aiti-8492	121	9	-	-	PUNCT
aiti-8492	121	10	si	si	PROPN
aiti-8492	121	11	is	be	AUX
aiti-8492	121	12	379,753	379,753	NUM
aiti-8492	121	13	krw	krw	PROPN
aiti-8492	121	14	/	/	SYM
aiti-8492	121	15	m	m	PROPN
aiti-8492	121	16	2	2	NUM
aiti-8492	121	17	,	,	PUNCT
aiti-8492	121	18	and	and	CCONJ
aiti-8492	121	19	most	most	ADJ
aiti-8492	121	20	area	area	NOUN
aiti-8492	121	21	is	be	AUX
aiti-8492	121	22	zoned	zone	VERB
aiti-8492	121	23	for	for	ADP
aiti-8492	121	24	the	the	DET
aiti-8492	121	25	green	green	ADJ
aiti-8492	121	26	belt	belt	NOUN
aiti-8492	121	27	(	(	PUNCT
aiti-8492	121	28	85.6	85.6	NUM
aiti-8492	121	29	%	%	NOUN
aiti-8492	121	30	)	)	PUNCT
aiti-8492	121	31	.	.	PUNCT
aiti-8492	122	1	as	as	SCONJ
aiti-8492	122	2	shown	show	VERB
aiti-8492	122	3	in	in	ADP
aiti-8492	122	4	the	the	DET
aiti-8492	122	5	table	table	NOUN
aiti-8492	122	6	,	,	PUNCT
aiti-8492	122	7	zip	zip	NOUN
aiti-8492	122	8	code	code	NOUN
aiti-8492	122	9	and	and	CCONJ
aiti-8492	122	10	zone	zone	NOUN
aiti-8492	122	11	are	be	AUX
aiti-8492	122	12	categorical	categorical	ADJ
aiti-8492	122	13	variables	variable	NOUN
aiti-8492	122	14	.	.	PUNCT
aiti-8492	123	1	particularly	particularly	ADV
aiti-8492	123	2	,	,	PUNCT
aiti-8492	123	3	the	the	DET
aiti-8492	123	4	zip	zip	NOUN
aiti-8492	123	5	code	code	NOUN
aiti-8492	123	6	is	be	AUX
aiti-8492	123	7	highly	highly	ADV
aiti-8492	123	8	cardinal	cardinal	ADJ
aiti-8492	123	9	with	with	ADP
aiti-8492	123	10	25	25	NUM
aiti-8492	123	11	levels	level	NOUN
aiti-8492	123	12	.	.	PUNCT
aiti-8492	124	1	all	all	DET
aiti-8492	124	2	continuous	continuous	ADJ
aiti-8492	124	3	variables	variable	NOUN
aiti-8492	124	4	(	(	PUNCT
aiti-8492	124	5	sales	sale	NOUN
aiti-8492	124	6	price	price	NOUN
aiti-8492	124	7	,	,	PUNCT
aiti-8492	124	8	x	x	NOUN
aiti-8492	124	9	-	-	NOUN
aiti-8492	124	10	coordinate	coordinate	NOUN
aiti-8492	124	11	,	,	PUNCT
aiti-8492	124	12	and	and	CCONJ
aiti-8492	124	13	y	y	NOUN
aiti-8492	124	14	-	-	PUNCT
aiti-8492	124	15	coordinate	coordinate	NOUN
aiti-8492	124	16	)	)	PUNCT
aiti-8492	124	17	are	be	AUX
aiti-8492	124	18	scaled	scale	VERB
aiti-8492	124	19	to	to	PART
aiti-8492	124	20	have	have	VERB
aiti-8492	124	21	a	a	DET
aiti-8492	124	22	mean	mean	NOUN
aiti-8492	124	23	of	of	ADP
aiti-8492	124	24	zero	zero	NUM
aiti-8492	124	25	and	and	CCONJ
aiti-8492	124	26	a	a	DET
aiti-8492	124	27	standard	standard	ADJ
aiti-8492	124	28	deviation	deviation	NOUN
aiti-8492	124	29	of	of	ADP
aiti-8492	124	30	one	one	NUM
aiti-8492	124	31	before	before	ADP
aiti-8492	124	32	being	be	AUX
aiti-8492	124	33	fed	feed	VERB
aiti-8492	124	34	into	into	ADP
aiti-8492	124	35	the	the	DET
aiti-8492	124	36	clustering	clustering	ADJ
aiti-8492	124	37	algorithm	algorithm	NOUN
aiti-8492	124	38	.	.	PUNCT
aiti-8492	125	1	a	a	DET
aiti-8492	125	2	portion	portion	NOUN
aiti-8492	125	3	of	of	ADP
aiti-8492	125	4	the	the	DET
aiti-8492	125	5	dataset	dataset	NOUN
aiti-8492	125	6	(	(	PUNCT
aiti-8492	125	7	222	222	NUM
aiti-8492	125	8	samples	sample	NOUN
aiti-8492	125	9	,	,	PUNCT
aiti-8492	125	10	20	20	NUM
aiti-8492	125	11	%	%	NOUN
aiti-8492	125	12	)	)	PUNCT
aiti-8492	125	13	is	be	AUX
aiti-8492	125	14	reserved	reserve	VERB
aiti-8492	125	15	to	to	PART
aiti-8492	125	16	evaluate	evaluate	VERB
aiti-8492	125	17	the	the	DET
aiti-8492	125	18	performance	performance	NOUN
aiti-8492	125	19	of	of	ADP
aiti-8492	125	20	clustering	clustering	ADJ
aiti-8492	125	21	algorithms	algorithm	NOUN
aiti-8492	125	22	.	.	PUNCT
aiti-8492	126	1	the	the	DET
aiti-8492	126	2	land	land	NOUN
aiti-8492	126	3	sales	sale	NOUN
aiti-8492	126	4	records	record	NOUN
aiti-8492	126	5	are	be	AUX
aiti-8492	126	6	collected	collect	VERB
aiti-8492	126	7	by	by	ADP
aiti-8492	126	8	local	local	ADJ
aiti-8492	126	9	governments	government	NOUN
aiti-8492	126	10	and	and	CCONJ
aiti-8492	126	11	released	release	VERB
aiti-8492	126	12	to	to	ADP
aiti-8492	126	13	the	the	DET
aiti-8492	126	14	public	public	NOUN
aiti-8492	126	15	on	on	ADP
aiti-8492	126	16	a	a	DET
aiti-8492	126	17	monthly	monthly	ADJ
aiti-8492	126	18	basis	basis	NOUN
aiti-8492	126	19	.	.	PUNCT
aiti-8492	127	1	the	the	DET
aiti-8492	127	2	records	record	NOUN
aiti-8492	127	3	can	can	AUX
aiti-8492	127	4	be	be	AUX
aiti-8492	127	5	utilized	utilize	VERB
aiti-8492	127	6	to	to	PART
aiti-8492	127	7	detect	detect	VERB
aiti-8492	127	8	overheating	overheating	ADJ
aiti-8492	127	9	spots	spot	NOUN
aiti-8492	127	10	in	in	ADP
aiti-8492	127	11	real	real	ADJ
aiti-8492	127	12	estate	estate	NOUN
aiti-8492	127	13	submarkets	submarket	NOUN
aiti-8492	127	14	and	and	CCONJ
aiti-8492	127	15	diagnose	diagnose	VERB
aiti-8492	127	16	the	the	DET
aiti-8492	127	17	sustainability	sustainability	NOUN
aiti-8492	127	18	of	of	ADP
aiti-8492	127	19	the	the	DET
aiti-8492	127	20	overall	overall	ADJ
aiti-8492	127	21	market	market	NOUN
aiti-8492	127	22	.	.	PUNCT
aiti-8492	128	1	in	in	ADP
aiti-8492	128	2	the	the	DET
aiti-8492	128	3	future	future	NOUN
aiti-8492	128	4	,	,	PUNCT
aiti-8492	128	5	local	local	ADJ
aiti-8492	128	6	governments	government	NOUN
aiti-8492	128	7	need	need	VERB
aiti-8492	128	8	to	to	PART
aiti-8492	128	9	collect	collect	VERB
aiti-8492	128	10	and	and	CCONJ
aiti-8492	128	11	agglomerate	agglomerate	VERB
aiti-8492	128	12	the	the	DET
aiti-8492	128	13	land	land	NOUN
aiti-8492	128	14	sales	sale	NOUN
aiti-8492	128	15	data	datum	NOUN
aiti-8492	128	16	in	in	ADP
aiti-8492	128	17	a	a	DET
aiti-8492	128	18	more	more	ADV
aiti-8492	128	19	frequent	frequent	ADJ
aiti-8492	128	20	cycle	cycle	NOUN
aiti-8492	128	21	,	,	PUNCT
aiti-8492	128	22	for	for	ADP
aiti-8492	128	23	example	example	NOUN
aiti-8492	128	24	,	,	PUNCT
aiti-8492	128	25	on	on	ADP
aiti-8492	128	26	a	a	DET
aiti-8492	128	27	weekly	weekly	ADJ
aiti-8492	128	28	or	or	CCONJ
aiti-8492	128	29	daily	daily	ADJ
aiti-8492	128	30	basis	basis	NOUN
aiti-8492	128	31	,	,	PUNCT
aiti-8492	128	32	to	to	PART
aiti-8492	128	33	adapt	adapt	VERB
aiti-8492	128	34	to	to	ADP
aiti-8492	128	35	a	a	DET
aiti-8492	128	36	rapidly	rapidly	ADV
aiti-8492	128	37	changing	change	VERB
aiti-8492	128	38	real	real	ADJ
aiti-8492	128	39	estate	estate	NOUN
aiti-8492	128	40	market	market	NOUN
aiti-8492	128	41	.	.	PUNCT
aiti-8492	129	1	in	in	ADP
aiti-8492	129	2	addition	addition	NOUN
aiti-8492	129	3	to	to	ADP
aiti-8492	129	4	optimizing	optimize	VERB
aiti-8492	129	5	the	the	DET
aiti-8492	129	6	data	data	NOUN
aiti-8492	129	7	accumulation	accumulation	NOUN
aiti-8492	129	8	process	process	NOUN
aiti-8492	129	9	,	,	PUNCT
aiti-8492	129	10	data	data	NOUN
aiti-8492	129	11	-	-	PUNCT
aiti-8492	129	12	driven	drive	VERB
aiti-8492	129	13	algorithms	algorithm	NOUN
aiti-8492	129	14	based	base	VERB
aiti-8492	129	15	on	on	ADP
aiti-8492	129	16	machine	machine	NOUN
aiti-8492	129	17	learning	learning	NOUN
aiti-8492	129	18	must	must	AUX
aiti-8492	129	19	be	be	AUX
aiti-8492	129	20	developed	develop	VERB
aiti-8492	129	21	and	and	CCONJ
aiti-8492	129	22	deployed	deploy	VERB
aiti-8492	129	23	in	in	ADP
aiti-8492	129	24	administration	administration	NOUN
aiti-8492	129	25	tasks	task	NOUN
aiti-8492	129	26	ranging	range	VERB
aiti-8492	129	27	from	from	ADP
aiti-8492	129	28	disclosing	disclose	VERB
aiti-8492	129	29	the	the	DET
aiti-8492	129	30	real	real	ADJ
aiti-8492	129	31	estate	estate	NOUN
aiti-8492	129	32	market	market	NOUN
aiti-8492	129	33	in	in	ADP
aiti-8492	129	34	a	a	DET
aiti-8492	129	35	transparent	transparent	ADJ
aiti-8492	129	36	manner	manner	NOUN
aiti-8492	129	37	to	to	ADP
aiti-8492	129	38	detecting	detect	VERB
aiti-8492	129	39	fraudulent	fraudulent	ADJ
aiti-8492	129	40	land	land	NOUN
aiti-8492	129	41	transactions	transaction	NOUN
aiti-8492	129	42	.	.	PUNCT
aiti-8492	130	1	3.2	3.2	NUM
aiti-8492	130	2	.	.	PUNCT
aiti-8492	131	1	creating	create	VERB
aiti-8492	131	2	embedding	embed	VERB
aiti-8492	131	3	vectors	vector	NOUN
aiti-8492	131	4	in	in	ADP
aiti-8492	131	5	the	the	DET
aiti-8492	131	6	case	case	NOUN
aiti-8492	131	7	of	of	ADP
aiti-8492	131	8	a	a	DET
aiti-8492	131	9	high	high	ADJ
aiti-8492	131	10	-	-	PUNCT
aiti-8492	131	11	cardinality	cardinality	NOUN
aiti-8492	131	12	categorical	categorical	ADJ
aiti-8492	131	13	variable	variable	NOUN
aiti-8492	131	14	,	,	PUNCT
aiti-8492	131	15	such	such	ADJ
aiti-8492	131	16	as	as	ADP
aiti-8492	131	17	the	the	DET
aiti-8492	131	18	zip	zip	NOUN
aiti-8492	131	19	code	code	NOUN
aiti-8492	131	20	,	,	PUNCT
aiti-8492	131	21	a	a	DET
aiti-8492	131	22	one	one	NUM
aiti-8492	131	23	-	-	PUNCT
aiti-8492	131	24	hot	hot	ADJ
aiti-8492	131	25	encoding	encoding	NOUN
aiti-8492	131	26	technique	technique	NOUN
aiti-8492	131	27	can	can	AUX
aiti-8492	131	28	not	not	PART
aiti-8492	131	29	be	be	AUX
aiti-8492	131	30	efficient	efficient	ADJ
aiti-8492	131	31	in	in	ADP
aiti-8492	131	32	handling	handle	VERB
aiti-8492	131	33	a	a	DET
aiti-8492	131	34	large	large	ADJ
aiti-8492	131	35	number	number	NOUN
aiti-8492	131	36	of	of	ADP
aiti-8492	131	37	elements	element	NOUN
aiti-8492	131	38	in	in	ADP
aiti-8492	131	39	a	a	DET
aiti-8492	131	40	variable	variable	NOUN
aiti-8492	131	41	;	;	PUNCT
aiti-8492	131	42	thus	thus	ADV
aiti-8492	131	43	,	,	PUNCT
aiti-8492	131	44	the	the	DET
aiti-8492	131	45	high	high	ADJ
aiti-8492	131	46	-	-	PUNCT
aiti-8492	131	47	cardinality	cardinality	NOUN
aiti-8492	131	48	categorical	categorical	ADJ
aiti-8492	131	49	variable	variable	NOUN
aiti-8492	131	50	should	should	AUX
aiti-8492	131	51	be	be	AUX
aiti-8492	131	52	represented	represent	VERB
aiti-8492	131	53	in	in	ADP
aiti-8492	131	54	the	the	DET
aiti-8492	131	55	form	form	NOUN
aiti-8492	131	56	of	of	ADP
aiti-8492	131	57	embedding	embed	VERB
aiti-8492	131	58	vectors	vector	NOUN
aiti-8492	131	59	.	.	PUNCT
aiti-8492	132	1	the	the	DET
aiti-8492	132	2	embedding	embed	VERB
aiti-8492	132	3	vectors	vector	NOUN
aiti-8492	132	4	utilized	utilize	VERB
aiti-8492	132	5	in	in	ADP
aiti-8492	132	6	this	this	DET
aiti-8492	132	7	study	study	NOUN
aiti-8492	132	8	are	be	AUX
aiti-8492	132	9	obtained	obtain	VERB
aiti-8492	132	10	from	from	ADP
aiti-8492	132	11	the	the	DET
aiti-8492	132	12	training	training	NOUN
aiti-8492	132	13	results	result	NOUN
aiti-8492	132	14	of	of	ADP
aiti-8492	132	15	a	a	DET
aiti-8492	132	16	neural	neural	ADJ
aiti-8492	132	17	network	network	NOUN
aiti-8492	132	18	.	.	PUNCT
aiti-8492	133	1	the	the	DET
aiti-8492	133	2	aforementioned	aforementioned	ADJ
aiti-8492	133	3	network	network	NOUN
aiti-8492	133	4	is	be	AUX
aiti-8492	133	5	a	a	DET
aiti-8492	133	6	fully	fully	ADV
aiti-8492	133	7	connected	connect	VERB
aiti-8492	133	8	layer	layer	NOUN
aiti-8492	133	9	network	network	NOUN
aiti-8492	133	10	with	with	ADP
aiti-8492	133	11	the	the	DET
aiti-8492	133	12	following	follow	VERB
aiti-8492	133	13	architecture	architecture	NOUN
aiti-8492	133	14	:	:	PUNCT
aiti-8492	133	15	four	four	NUM
aiti-8492	133	16	input	input	NOUN
aiti-8492	133	17	variables	variable	NOUN
aiti-8492	133	18	are	be	AUX
aiti-8492	133	19	employed	employ	VERB
aiti-8492	133	20	,	,	PUNCT
aiti-8492	133	21	and	and	CCONJ
aiti-8492	133	22	then	then	ADV
aiti-8492	133	23	two	two	NUM
aiti-8492	133	24	embedding	embed	VERB
aiti-8492	133	25	layers	layer	NOUN
aiti-8492	133	26	corresponding	correspond	VERB
aiti-8492	133	27	to	to	ADP
aiti-8492	133	28	the	the	DET
aiti-8492	133	29	categorical	categorical	ADJ
aiti-8492	133	30	variables	variable	NOUN
aiti-8492	133	31	are	be	AUX
aiti-8492	133	32	additionally	additionally	ADV
aiti-8492	133	33	specified	specify	VERB
aiti-8492	133	34	and	and	CCONJ
aiti-8492	133	35	added	add	VERB
aiti-8492	133	36	to	to	ADP
aiti-8492	133	37	the	the	DET
aiti-8492	133	38	network	network	NOUN
aiti-8492	133	39	.	.	PUNCT
aiti-8492	134	1	an	an	DET
aiti-8492	134	2	appropriate	appropriate	ADJ
aiti-8492	134	3	number	number	NOUN
aiti-8492	134	4	of	of	ADP
aiti-8492	134	5	dimensions	dimension	NOUN
aiti-8492	134	6	has	have	VERB
aiti-8492	134	7	to	to	PART
aiti-8492	134	8	be	be	AUX
aiti-8492	134	9	determined	determine	VERB
aiti-8492	134	10	for	for	ADP
aiti-8492	134	11	each	each	DET
aiti-8492	134	12	embedding	embed	VERB
aiti-8492	134	13	layer	layer	NOUN
aiti-8492	134	14	,	,	PUNCT
aiti-8492	134	15	and	and	CCONJ
aiti-8492	134	16	the	the	DET
aiti-8492	134	17	prediction	prediction	NOUN
aiti-8492	134	18	performance	performance	NOUN
aiti-8492	134	19	for	for	ADP
aiti-8492	134	20	various	various	ADJ
aiti-8492	134	21	dimension	dimension	NOUN
aiti-8492	134	22	sizes	size	NOUN
aiti-8492	134	23	is	be	AUX
aiti-8492	134	24	reviewed	review	VERB
aiti-8492	134	25	through	through	ADP
aiti-8492	134	26	the	the	DET
aiti-8492	134	27	usual	usual	ADJ
aiti-8492	134	28	cross	cross	ADJ
aiti-8492	134	29	-	-	ADJ
aiti-8492	134	30	validation	validation	ADJ
aiti-8492	134	31	process	process	NOUN
aiti-8492	134	32	.	.	PUNCT
aiti-8492	135	1	the	the	DET
aiti-8492	135	2	number	number	NOUN
aiti-8492	135	3	of	of	ADP
aiti-8492	135	4	dimensions	dimension	NOUN
aiti-8492	135	5	assigned	assign	VERB
aiti-8492	135	6	to	to	ADP
aiti-8492	135	7	each	each	DET
aiti-8492	135	8	categorical	categorical	ADJ
aiti-8492	135	9	variable	variable	NOUN
aiti-8492	135	10	through	through	ADP
aiti-8492	135	11	this	this	DET
aiti-8492	135	12	cross	cross	ADJ
aiti-8492	135	13	-	-	ADJ
aiti-8492	135	14	validation	validation	ADJ
aiti-8492	135	15	process	process	NOUN
aiti-8492	135	16	is	be	AUX
aiti-8492	135	17	10	10	NUM
aiti-8492	135	18	and	and	CCONJ
aiti-8492	135	19	3	3	NUM
aiti-8492	135	20	for	for	ADP
aiti-8492	135	21	the	the	DET
aiti-8492	135	22	zip	zip	NOUN
aiti-8492	135	23	code	code	NOUN
aiti-8492	135	24	and	and	CCONJ
aiti-8492	135	25	zone	zone	NOUN
aiti-8492	135	26	,	,	PUNCT
aiti-8492	135	27	respectively	respectively	ADV
aiti-8492	135	28	.	.	PUNCT
aiti-8492	136	1	the	the	DET
aiti-8492	136	2	number	number	NOUN
aiti-8492	136	3	of	of	ADP
aiti-8492	136	4	dimensions	dimension	NOUN
aiti-8492	136	5	in	in	ADP
aiti-8492	136	6	fig	fig	NOUN
aiti-8492	136	7	.	.	PUNCT
aiti-8492	136	8	2	2	NUM
aiti-8492	136	9	is	be	AUX
aiti-8492	136	10	selected	select	VERB
aiti-8492	136	11	based	base	VERB
aiti-8492	136	12	on	on	ADP
aiti-8492	136	13	the	the	DET
aiti-8492	136	14	results	result	NOUN
aiti-8492	136	15	of	of	ADP
aiti-8492	136	16	the	the	DET
aiti-8492	136	17	heuristic	heuristic	ADJ
aiti-8492	136	18	grid	grid	NOUN
aiti-8492	136	19	search	search	NOUN
aiti-8492	136	20	.	.	PUNCT
aiti-8492	137	1	the	the	DET
aiti-8492	137	2	grid	grid	NOUN
aiti-8492	137	3	search	search	NOUN
aiti-8492	137	4	uses	use	VERB
aiti-8492	137	5	five	five	NUM
aiti-8492	137	6	-	-	ADJ
aiti-8492	137	7	fold	fold	ADJ
aiti-8492	137	8	cross	cross	NOUN
aiti-8492	137	9	-	-	NOUN
aiti-8492	137	10	validation	validation	NOUN
aiti-8492	137	11	to	to	PART
aiti-8492	137	12	evaluate	evaluate	VERB
aiti-8492	137	13	the	the	DET
aiti-8492	137	14	possible	possible	ADJ
aiti-8492	137	15	combinations	combination	NOUN
aiti-8492	137	16	of	of	ADP
aiti-8492	137	17	values	value	NOUN
aiti-8492	137	18	(	(	PUNCT
aiti-8492	137	19	the	the	DET
aiti-8492	137	20	number	number	NOUN
aiti-8492	137	21	of	of	ADP
aiti-8492	137	22	dimensions	dimension	NOUN
aiti-8492	137	23	for	for	ADP
aiti-8492	137	24	the	the	DET
aiti-8492	137	25	zip	zip	NOUN
aiti-8492	137	26	code	code	NOUN
aiti-8492	137	27	and	and	CCONJ
aiti-8492	137	28	zone	zone	NOUN
aiti-8492	137	29	in	in	ADP
aiti-8492	137	30	this	this	DET
aiti-8492	137	31	study	study	NOUN
aiti-8492	137	32	)	)	PUNCT
aiti-8492	137	33	,	,	PUNCT
aiti-8492	137	34	and	and	CCONJ
aiti-8492	137	35	the	the	DET
aiti-8492	137	36	mean	mean	ADJ
aiti-8492	137	37	squared	square	VERB
aiti-8492	137	38	error	error	NOUN
aiti-8492	137	39	(	(	PUNCT
aiti-8492	137	40	mse	mse	NOUN
aiti-8492	137	41	)	)	PUNCT
aiti-8492	137	42	between	between	ADP
aiti-8492	137	43	the	the	DET
aiti-8492	137	44	observed	observe	VERB
aiti-8492	137	45	land	land	NOUN
aiti-8492	137	46	prices	price	NOUN
aiti-8492	137	47	and	and	CCONJ
aiti-8492	137	48	the	the	DET
aiti-8492	137	49	predicted	predict	VERB
aiti-8492	137	50	prices	price	NOUN
aiti-8492	137	51	is	be	AUX
aiti-8492	137	52	used	use	VERB
aiti-8492	137	53	as	as	ADP
aiti-8492	137	54	a	a	DET
aiti-8492	137	55	criterion	criterion	NOUN
aiti-8492	137	56	for	for	ADP
aiti-8492	137	57	34	34	NUM
aiti-8492	137	58	advances	advance	NOUN
aiti-8492	137	59	in	in	ADP
aiti-8492	137	60	technology	technology	NOUN
aiti-8492	137	61	innovation	innovation	NOUN
aiti-8492	137	62	,	,	PUNCT
aiti-8492	137	63	vol	vol	NOUN
aiti-8492	137	64	.	.	PROPN
aiti-8492	138	1	7	7	NUM
aiti-8492	138	2	,	,	PUNCT
aiti-8492	138	3	no	no	INTJ
aiti-8492	138	4	.	.	NOUN
aiti-8492	138	5	1	1	NUM
aiti-8492	138	6	,	,	PUNCT
aiti-8492	138	7	2022	2022	NUM
aiti-8492	138	8	,	,	PUNCT
aiti-8492	138	9	pp	pp	ADJ
aiti-8492	138	10	.	.	PUNCT
aiti-8492	139	1	30	30	NUM
aiti-8492	139	2	-	-	SYM
aiti-8492	139	3	40	40	NUM
aiti-8492	139	4	the	the	DET
aiti-8492	139	5	evaluation	evaluation	NOUN
aiti-8492	139	6	.	.	PUNCT
aiti-8492	140	1	as	as	ADP
aiti-8492	140	2	a	a	DET
aiti-8492	140	3	rule	rule	NOUN
aiti-8492	140	4	of	of	ADP
aiti-8492	140	5	thumb	thumb	NOUN
aiti-8492	140	6	,	,	PUNCT
aiti-8492	140	7	half	half	DET
aiti-8492	140	8	the	the	DET
aiti-8492	140	9	number	number	NOUN
aiti-8492	140	10	of	of	ADP
aiti-8492	140	11	original	original	ADJ
aiti-8492	140	12	levels	level	NOUN
aiti-8492	140	13	is	be	AUX
aiti-8492	140	14	often	often	ADV
aiti-8492	140	15	used	use	VERB
aiti-8492	140	16	as	as	ADP
aiti-8492	140	17	a	a	DET
aiti-8492	140	18	reference	reference	NOUN
aiti-8492	140	19	number	number	NOUN
aiti-8492	140	20	for	for	ADP
aiti-8492	140	21	dimensions	dimension	NOUN
aiti-8492	140	22	[	[	X
aiti-8492	140	23	39	39	NUM
aiti-8492	140	24	]	]	PUNCT
aiti-8492	140	25	.	.	PUNCT
aiti-8492	141	1	the	the	DET
aiti-8492	141	2	zip	zip	NOUN
aiti-8492	141	3	code	code	NOUN
aiti-8492	141	4	comprises	comprise	VERB
aiti-8492	141	5	25	25	NUM
aiti-8492	141	6	levels	level	NOUN
aiti-8492	141	7	,	,	PUNCT
aiti-8492	141	8	and	and	CCONJ
aiti-8492	141	9	the	the	DET
aiti-8492	141	10	zone	zone	NOUN
aiti-8492	141	11	consists	consist	VERB
aiti-8492	141	12	of	of	ADP
aiti-8492	141	13	7	7	NUM
aiti-8492	141	14	levels	level	NOUN
aiti-8492	141	15	,	,	PUNCT
aiti-8492	141	16	as	as	SCONJ
aiti-8492	141	17	shown	show	VERB
aiti-8492	141	18	in	in	ADP
aiti-8492	141	19	fig	fig	NOUN
aiti-8492	141	20	.	.	PUNCT
aiti-8492	142	1	2	2	X
aiti-8492	142	2	.	.	PUNCT
aiti-8492	142	3	thus	thus	ADV
aiti-8492	142	4	,	,	PUNCT
aiti-8492	142	5	according	accord	VERB
aiti-8492	142	6	to	to	ADP
aiti-8492	142	7	this	this	DET
aiti-8492	142	8	rule	rule	NOUN
aiti-8492	142	9	of	of	ADP
aiti-8492	142	10	thumb	thumb	NOUN
aiti-8492	142	11	,	,	PUNCT
aiti-8492	142	12	good	good	ADJ
aiti-8492	142	13	candidate	candidate	NOUN
aiti-8492	142	14	numbers	number	NOUN
aiti-8492	142	15	of	of	ADP
aiti-8492	142	16	dimensions	dimension	NOUN
aiti-8492	142	17	for	for	ADP
aiti-8492	142	18	the	the	DET
aiti-8492	142	19	zip	zip	NOUN
aiti-8492	142	20	code	code	NOUN
aiti-8492	142	21	and	and	CCONJ
aiti-8492	142	22	zone	zone	NOUN
aiti-8492	142	23	are	be	AUX
aiti-8492	142	24	12	12	NUM
aiti-8492	142	25	-	-	SYM
aiti-8492	142	26	13	13	NUM
aiti-8492	142	27	and	and	CCONJ
aiti-8492	142	28	3	3	NUM
aiti-8492	142	29	-	-	SYM
aiti-8492	142	30	4	4	NUM
aiti-8492	142	31	,	,	PUNCT
aiti-8492	142	32	respectively	respectively	ADV
aiti-8492	142	33	.	.	PUNCT
aiti-8492	143	1	hence	hence	ADV
aiti-8492	143	2	,	,	PUNCT
aiti-8492	143	3	the	the	DET
aiti-8492	143	4	number	number	NOUN
aiti-8492	143	5	of	of	ADP
aiti-8492	143	6	dimensions	dimension	NOUN
aiti-8492	143	7	for	for	ADP
aiti-8492	143	8	the	the	DET
aiti-8492	143	9	zip	zip	NOUN
aiti-8492	143	10	code	code	NOUN
aiti-8492	143	11	is	be	AUX
aiti-8492	143	12	chosen	choose	VERB
aiti-8492	143	13	as	as	ADP
aiti-8492	143	14	10	10	NUM
aiti-8492	143	15	,	,	PUNCT
aiti-8492	143	16	and	and	CCONJ
aiti-8492	143	17	that	that	SCONJ
aiti-8492	143	18	for	for	ADP
aiti-8492	143	19	the	the	DET
aiti-8492	143	20	zone	zone	NOUN
aiti-8492	143	21	is	be	AUX
aiti-8492	143	22	chosen	choose	VERB
aiti-8492	143	23	as	as	ADP
aiti-8492	143	24	three	three	NUM
aiti-8492	143	25	,	,	PUNCT
aiti-8492	143	26	considering	consider	VERB
aiti-8492	143	27	the	the	DET
aiti-8492	143	28	results	result	NOUN
aiti-8492	143	29	of	of	ADP
aiti-8492	143	30	the	the	DET
aiti-8492	143	31	heuristic	heuristic	ADJ
aiti-8492	143	32	grid	grid	NOUN
aiti-8492	143	33	search	search	NOUN
aiti-8492	143	34	and	and	CCONJ
aiti-8492	143	35	the	the	DET
aiti-8492	143	36	rule	rule	NOUN
aiti-8492	143	37	of	of	ADP
aiti-8492	143	38	thumb	thumb	NOUN
aiti-8492	143	39	together	together	ADV
aiti-8492	143	40	.	.	PUNCT
aiti-8492	144	1	finally	finally	ADV
aiti-8492	144	2	,	,	PUNCT
aiti-8492	144	3	to	to	PART
aiti-8492	144	4	include	include	VERB
aiti-8492	144	5	more	more	ADJ
aiti-8492	144	6	parameters	parameter	NOUN
aiti-8492	144	7	to	to	PART
aiti-8492	144	8	capture	capture	VERB
aiti-8492	144	9	minor	minor	ADJ
aiti-8492	144	10	data	datum	NOUN
aiti-8492	144	11	nuances	nuance	NOUN
aiti-8492	144	12	,	,	PUNCT
aiti-8492	144	13	three	three	NUM
aiti-8492	144	14	hidden	hidden	ADJ
aiti-8492	144	15	layers	layer	NOUN
aiti-8492	144	16	are	be	AUX
aiti-8492	144	17	added	add	VERB
aiti-8492	144	18	to	to	ADP
aiti-8492	144	19	the	the	DET
aiti-8492	144	20	end	end	NOUN
aiti-8492	144	21	of	of	ADP
aiti-8492	144	22	the	the	DET
aiti-8492	144	23	architecture	architecture	NOUN
aiti-8492	144	24	.	.	PUNCT
aiti-8492	145	1	the	the	DET
aiti-8492	145	2	output	output	NOUN
aiti-8492	145	3	layer	layer	NOUN
aiti-8492	145	4	with	with	ADP
aiti-8492	145	5	one	one	NUM
aiti-8492	145	6	neuron	neuron	NOUN
aiti-8492	145	7	corresponds	correspond	VERB
aiti-8492	145	8	to	to	ADP
aiti-8492	145	9	the	the	DET
aiti-8492	145	10	land	land	NOUN
aiti-8492	145	11	price	price	NOUN
aiti-8492	145	12	estimated	estimate	VERB
aiti-8492	145	13	by	by	ADP
aiti-8492	145	14	the	the	DET
aiti-8492	145	15	neural	neural	ADJ
aiti-8492	145	16	network	network	NOUN
aiti-8492	145	17	.	.	PUNCT
aiti-8492	146	1	the	the	DET
aiti-8492	146	2	final	final	ADJ
aiti-8492	146	3	architecture	architecture	NOUN
aiti-8492	146	4	of	of	ADP
aiti-8492	146	5	the	the	DET
aiti-8492	146	6	neural	neural	ADJ
aiti-8492	146	7	network	network	NOUN
aiti-8492	146	8	used	use	VERB
aiti-8492	146	9	to	to	PART
aiti-8492	146	10	obtain	obtain	VERB
aiti-8492	146	11	the	the	DET
aiti-8492	146	12	embedding	embed	VERB
aiti-8492	146	13	vectors	vector	NOUN
aiti-8492	146	14	is	be	AUX
aiti-8492	146	15	presented	present	VERB
aiti-8492	146	16	in	in	ADP
aiti-8492	146	17	fig	fig	NOUN
aiti-8492	146	18	.	.	PUNCT
aiti-8492	147	1	2	2	X
aiti-8492	147	2	.	.	X
aiti-8492	147	3	the	the	DET
aiti-8492	147	4	resultant	resultant	NOUN
aiti-8492	147	5	embedding	embed	VERB
aiti-8492	147	6	vectors	vector	NOUN
aiti-8492	147	7	assume	assume	VERB
aiti-8492	147	8	the	the	DET
aiti-8492	147	9	following	follow	VERB
aiti-8492	147	10	form	form	NOUN
aiti-8492	147	11	:	:	PUNCT
aiti-8492	147	12	a	a	DET
aiti-8492	147	13	25	25	NUM
aiti-8492	147	14	×	×	NOUN
aiti-8492	147	15	10	10	NUM
aiti-8492	147	16	matrix	matrix	NOUN
aiti-8492	147	17	for	for	ADP
aiti-8492	147	18	the	the	DET
aiti-8492	147	19	zip	zip	NOUN
aiti-8492	147	20	code	code	NOUN
aiti-8492	147	21	and	and	CCONJ
aiti-8492	147	22	a	a	DET
aiti-8492	147	23	7	7	NUM
aiti-8492	147	24	×	×	NOUN
aiti-8492	147	25	3	3	NUM
aiti-8492	147	26	matrix	matrix	NOUN
aiti-8492	147	27	for	for	ADP
aiti-8492	147	28	the	the	DET
aiti-8492	147	29	zone	zone	NOUN
aiti-8492	147	30	.	.	PUNCT
aiti-8492	148	1	table	table	NOUN
aiti-8492	148	2	2	2	NUM
aiti-8492	148	3	presents	present	VERB
aiti-8492	148	4	the	the	DET
aiti-8492	148	5	embedding	embed	VERB
aiti-8492	148	6	vectors	vector	NOUN
aiti-8492	148	7	of	of	ADP
aiti-8492	148	8	the	the	DET
aiti-8492	148	9	zone	zone	NOUN
aiti-8492	148	10	.	.	PUNCT
aiti-8492	149	1	interpreting	interpret	VERB
aiti-8492	149	2	the	the	DET
aiti-8492	149	3	learned	learn	VERB
aiti-8492	149	4	embedding	embed	VERB
aiti-8492	149	5	vectors	vector	NOUN
aiti-8492	149	6	always	always	ADV
aiti-8492	149	7	involves	involve	VERB
aiti-8492	149	8	subjective	subjective	ADJ
aiti-8492	149	9	judgments	judgment	NOUN
aiti-8492	149	10	,	,	PUNCT
aiti-8492	149	11	and	and	CCONJ
aiti-8492	149	12	this	this	DET
aiti-8492	149	13	study	study	NOUN
aiti-8492	149	14	does	do	AUX
aiti-8492	149	15	not	not	PART
aiti-8492	149	16	attempt	attempt	VERB
aiti-8492	149	17	to	to	PART
aiti-8492	149	18	interpret	interpret	VERB
aiti-8492	149	19	their	their	PRON
aiti-8492	149	20	meanings	meaning	NOUN
aiti-8492	149	21	because	because	SCONJ
aiti-8492	149	22	the	the	DET
aiti-8492	149	23	primary	primary	ADJ
aiti-8492	149	24	goal	goal	NOUN
aiti-8492	149	25	is	be	AUX
aiti-8492	149	26	to	to	PART
aiti-8492	149	27	reuse	reuse	VERB
aiti-8492	149	28	them	they	PRON
aiti-8492	149	29	in	in	ADP
aiti-8492	149	30	a	a	DET
aiti-8492	149	31	subsequent	subsequent	ADJ
aiti-8492	149	32	clustering	cluster	VERB
aiti-8492	149	33	algorithm	algorithm	NOUN
aiti-8492	149	34	and	and	CCONJ
aiti-8492	149	35	achieve	achieve	VERB
aiti-8492	149	36	a	a	DET
aiti-8492	149	37	performance	performance	NOUN
aiti-8492	149	38	better	well	ADJ
aiti-8492	149	39	than	than	ADP
aiti-8492	149	40	those	those	PRON
aiti-8492	149	41	of	of	ADP
aiti-8492	149	42	the	the	DET
aiti-8492	149	43	baseline	baseline	ADJ
aiti-8492	149	44	algorithms	algorithm	NOUN
aiti-8492	149	45	.	.	PUNCT
aiti-8492	150	1	fig	fig	NOUN
aiti-8492	150	2	.	.	PUNCT
aiti-8492	151	1	2	2	NUM
aiti-8492	151	2	architecture	architecture	NOUN
aiti-8492	151	3	of	of	ADP
aiti-8492	151	4	the	the	DET
aiti-8492	151	5	neural	neural	ADJ
aiti-8492	151	6	network	network	NOUN
aiti-8492	151	7	used	use	VERB
aiti-8492	151	8	to	to	PART
aiti-8492	151	9	obtain	obtain	VERB
aiti-8492	151	10	embedding	embed	VERB
aiti-8492	151	11	vectors	vector	NOUN
aiti-8492	151	12	table	table	NOUN
aiti-8492	151	13	2	2	NUM
aiti-8492	151	14	embedding	embed	VERB
aiti-8492	151	15	vectors	vector	NOUN
aiti-8492	151	16	(	(	PUNCT
aiti-8492	151	17	7	7	NUM
aiti-8492	151	18	×	×	NOUN
aiti-8492	151	19	3	3	NUM
aiti-8492	151	20	matrix	matrix	NOUN
aiti-8492	151	21	)	)	PUNCT
aiti-8492	151	22	of	of	ADP
aiti-8492	151	23	the	the	DET
aiti-8492	151	24	zone	zone	NOUN
aiti-8492	151	25	learned	learn	VERB
aiti-8492	151	26	from	from	ADP
aiti-8492	151	27	neural	neural	ADJ
aiti-8492	151	28	network	network	NOUN
aiti-8492	151	29	training	training	NOUN
aiti-8492	151	30	zone	zone	NOUN
aiti-8492	151	31	vector	vector	NOUN
aiti-8492	151	32	1	1	NUM
aiti-8492	151	33	vector	vector	NOUN
aiti-8492	151	34	2	2	NUM
aiti-8492	151	35	vector	vector	NOUN
aiti-8492	151	36	3	3	NUM
aiti-8492	151	37	residence	residence	NOUN
aiti-8492	151	38	1	1	NUM
aiti-8492	151	39	0.21375	0.21375	NUM
aiti-8492	151	40	0.20492	0.20492	NUM
aiti-8492	151	41	0.24875	0.24875	NUM
aiti-8492	151	42	residence	residence	NOUN
aiti-8492	151	43	2	2	NUM
aiti-8492	151	44	-0.13061	-0.13061	NOUN
aiti-8492	151	45	-0.18887	-0.18887	ADJ
aiti-8492	151	46	-0.21148	-0.21148	PROPN
aiti-8492	151	47	residence	residence	PROPN
aiti-8492	151	48	3	3	NUM
aiti-8492	151	49	0.01262	0.01262	NUM
aiti-8492	151	50	0.01311	0.01311	NUM
aiti-8492	151	51	0.01660	0.01660	NUM
aiti-8492	151	52	residence	residence	NOUN
aiti-8492	151	53	4	4	NUM
aiti-8492	151	54	0.04791	0.04791	NUM
aiti-8492	151	55	0.04156	0.04156	NUM
aiti-8492	151	56	-0.00550	-0.00550	NOUN
aiti-8492	151	57	residence	residence	NOUN
aiti-8492	151	58	5	5	NUM
aiti-8492	151	59	-0.02817	-0.02817	NOUN
aiti-8492	151	60	-0.02647	-0.02647	NOUN
aiti-8492	151	61	-0.02822	-0.02822	PROPN
aiti-8492	151	62	natural	natural	ADJ
aiti-8492	151	63	&	&	CCONJ
aiti-8492	151	64	green	green	PROPN
aiti-8492	151	65	area	area	PROPN
aiti-8492	151	66	0.00644	0.00644	NUM
aiti-8492	151	67	-0.03270	-0.03270	NOUN
aiti-8492	151	68	0.01594	0.01594	NUM
aiti-8492	151	69	green	green	ADJ
aiti-8492	151	70	belt	belt	PROPN
aiti-8492	151	71	0.01215	0.01215	NUM
aiti-8492	151	72	-0.02023	-0.02023	NOUN
aiti-8492	151	73	-0.00067	-0.00067	PROPN
aiti-8492	151	74	3.3	3.3	NUM
aiti-8492	151	75	.	.	PUNCT
aiti-8492	152	1	silhouette	silhouette	NOUN
aiti-8492	152	2	score	score	NOUN
aiti-8492	152	3	when	when	SCONJ
aiti-8492	152	4	fitting	fit	VERB
aiti-8492	152	5	a	a	DET
aiti-8492	152	6	clustering	clustering	ADJ
aiti-8492	152	7	algorithm	algorithm	NOUN
aiti-8492	152	8	such	such	ADJ
aiti-8492	152	9	as	as	ADP
aiti-8492	152	10	k	k	NOUN
aiti-8492	152	11	-	-	PUNCT
aiti-8492	152	12	means	means	NOUN
aiti-8492	152	13	to	to	ADP
aiti-8492	152	14	a	a	DET
aiti-8492	152	15	dataset	dataset	NOUN
aiti-8492	152	16	,	,	PUNCT
aiti-8492	152	17	it	it	PRON
aiti-8492	152	18	is	be	AUX
aiti-8492	152	19	always	always	ADV
aiti-8492	152	20	subject	subject	ADJ
aiti-8492	152	21	to	to	ADP
aiti-8492	152	22	the	the	DET
aiti-8492	152	23	judgment	judgment	NOUN
aiti-8492	152	24	of	of	ADP
aiti-8492	152	25	a	a	DET
aiti-8492	152	26	researcher	researcher	NOUN
aiti-8492	152	27	to	to	PART
aiti-8492	152	28	determine	determine	VERB
aiti-8492	152	29	the	the	DET
aiti-8492	152	30	optimal	optimal	ADJ
aiti-8492	152	31	number	number	NOUN
aiti-8492	152	32	of	of	ADP
aiti-8492	152	33	clusters	cluster	NOUN
aiti-8492	152	34	,	,	PUNCT
aiti-8492	152	35	making	make	VERB
aiti-8492	152	36	the	the	DET
aiti-8492	152	37	results	result	NOUN
aiti-8492	152	38	vulnerable	vulnerable	ADJ
aiti-8492	152	39	to	to	ADP
aiti-8492	152	40	criticism	criticism	NOUN
aiti-8492	152	41	of	of	ADP
aiti-8492	152	42	subjectivity	subjectivity	NOUN
aiti-8492	152	43	.	.	PUNCT
aiti-8492	153	1	two	two	NUM
aiti-8492	153	2	popular	popular	ADJ
aiti-8492	153	3	methods	method	NOUN
aiti-8492	153	4	are	be	AUX
aiti-8492	153	5	used	use	VERB
aiti-8492	153	6	to	to	PART
aiti-8492	153	7	overcome	overcome	VERB
aiti-8492	153	8	this	this	DET
aiti-8492	153	9	criticism	criticism	NOUN
aiti-8492	153	10	:	:	PUNCT
aiti-8492	153	11	inertia	inertia	NOUN
aiti-8492	153	12	and	and	CCONJ
aiti-8492	153	13	silhouette	silhouette	NOUN
aiti-8492	153	14	score	score	NOUN
aiti-8492	153	15	analysis	analysis	NOUN
aiti-8492	153	16	[	[	X
aiti-8492	153	17	40	40	NUM
aiti-8492	153	18	-	-	SYM
aiti-8492	153	19	41	41	NUM
aiti-8492	153	20	]	]	PUNCT
aiti-8492	153	21	.	.	PUNCT
aiti-8492	154	1	the	the	DET
aiti-8492	154	2	former	former	ADJ
aiti-8492	154	3	is	be	AUX
aiti-8492	154	4	defined	define	VERB
aiti-8492	154	5	as	as	ADP
aiti-8492	154	6	the	the	DET
aiti-8492	154	7	mean	mean	ADJ
aiti-8492	154	8	squared	square	VERB
aiti-8492	154	9	distance	distance	NOUN
aiti-8492	154	10	between	between	ADP
aiti-8492	154	11	each	each	DET
aiti-8492	154	12	observation	observation	NOUN
aiti-8492	154	13	and	and	CCONJ
aiti-8492	154	14	its	its	PRON
aiti-8492	154	15	closest	close	ADJ
aiti-8492	154	16	centroid	centroid	NOUN
aiti-8492	154	17	.	.	PUNCT
aiti-8492	155	1	the	the	PRON
aiti-8492	155	2	lower	low	ADJ
aiti-8492	155	3	the	the	DET
aiti-8492	155	4	inertia	inertia	NOUN
aiti-8492	155	5	is	be	AUX
aiti-8492	155	6	,	,	PUNCT
aiti-8492	155	7	the	the	PRON
aiti-8492	155	8	better	well	ADJ
aiti-8492	155	9	the	the	DET
aiti-8492	155	10	algorithm	algorithm	NOUN
aiti-8492	155	11	is	be	AUX
aiti-8492	155	12	.	.	PUNCT
aiti-8492	156	1	however	however	ADV
aiti-8492	156	2	,	,	PUNCT
aiti-8492	156	3	this	this	DET
aiti-8492	156	4	approach	approach	NOUN
aiti-8492	156	5	suffers	suffer	VERB
aiti-8492	156	6	from	from	ADP
aiti-8492	156	7	a	a	DET
aiti-8492	156	8	limitation	limitation	NOUN
aiti-8492	156	9	:	:	PUNCT
aiti-8492	156	10	as	as	ADP
aiti-8492	156	11	the	the	DET
aiti-8492	156	12	number	number	NOUN
aiti-8492	156	13	of	of	ADP
aiti-8492	156	14	clusters	cluster	NOUN
aiti-8492	156	15	increases	increase	NOUN
aiti-8492	156	16	,	,	PUNCT
aiti-8492	156	17	the	the	DET
aiti-8492	156	18	inertia	inertia	NOUN
aiti-8492	156	19	always	always	ADV
aiti-8492	156	20	becomes	become	VERB
aiti-8492	156	21	lower	low	ADJ
aiti-8492	156	22	.	.	PUNCT
aiti-8492	157	1	the	the	DET
aiti-8492	157	2	silhouette	silhouette	NOUN
aiti-8492	157	3	score	score	NOUN
aiti-8492	157	4	is	be	AUX
aiti-8492	157	5	a	a	DET
aiti-8492	157	6	better	well	ADJ
aiti-8492	157	7	measure	measure	NOUN
aiti-8492	157	8	to	to	PART
aiti-8492	157	9	determine	determine	VERB
aiti-8492	157	10	the	the	DET
aiti-8492	157	11	number	number	NOUN
aiti-8492	157	12	of	of	ADP
aiti-8492	157	13	clusters	cluster	NOUN
aiti-8492	157	14	.	.	PUNCT
aiti-8492	158	1	it	it	PRON
aiti-8492	158	2	measures	measure	VERB
aiti-8492	158	3	the	the	DET
aiti-8492	158	4	extent	extent	NOUN
aiti-8492	158	5	of	of	ADP
aiti-8492	158	6	closeness	closeness	NOUN
aiti-8492	158	7	between	between	ADP
aiti-8492	158	8	each	each	DET
aiti-8492	158	9	observation	observation	NOUN
aiti-8492	158	10	in	in	ADP
aiti-8492	158	11	a	a	DET
aiti-8492	158	12	cluster	cluster	NOUN
aiti-8492	158	13	and	and	CCONJ
aiti-8492	158	14	the	the	DET
aiti-8492	158	15	observations	observation	NOUN
aiti-8492	158	16	in	in	ADP
aiti-8492	158	17	the	the	DET
aiti-8492	158	18	neighboring	neighboring	NOUN
aiti-8492	158	19	clusters	cluster	NOUN
aiti-8492	158	20	,	,	PUNCT
aiti-8492	158	21	providing	provide	VERB
aiti-8492	158	22	a	a	DET
aiti-8492	158	23	way	way	NOUN
aiti-8492	158	24	to	to	PART
aiti-8492	158	25	assess	assess	VERB
aiti-8492	158	26	the	the	DET
aiti-8492	158	27	number	number	NOUN
aiti-8492	158	28	of	of	ADP
aiti-8492	158	29	clusters	cluster	NOUN
aiti-8492	158	30	.	.	PUNCT
aiti-8492	159	1	it	it	PRON
aiti-8492	159	2	varies	vary	VERB
aiti-8492	159	3	between	between	ADP
aiti-8492	159	4	-1	-1	PUNCT
aiti-8492	159	5	and	and	CCONJ
aiti-8492	159	6	1	1	X
aiti-8492	159	7	.	.	X
aiti-8492	160	1	a	a	DET
aiti-8492	160	2	score	score	NOUN
aiti-8492	160	3	close	close	ADV
aiti-8492	160	4	to	to	ADP
aiti-8492	160	5	1	1	NUM
aiti-8492	160	6	indicates	indicate	VERB
aiti-8492	160	7	that	that	SCONJ
aiti-8492	160	8	the	the	DET
aiti-8492	160	9	observation	observation	NOUN
aiti-8492	160	10	is	be	AUX
aiti-8492	160	11	far	far	ADV
aiti-8492	160	12	from	from	ADP
aiti-8492	160	13	the	the	DET
aiti-8492	160	14	neighboring	neighboring	NOUN
aiti-8492	160	15	clusters	cluster	NOUN
aiti-8492	160	16	.	.	PUNCT
aiti-8492	161	1	a	a	DET
aiti-8492	161	2	score	score	NOUN
aiti-8492	161	3	close	close	ADV
aiti-8492	161	4	to	to	ADP
aiti-8492	161	5	0	0	NUM
aiti-8492	161	6	denotes	denote	NOUN
aiti-8492	161	7	that	that	SCONJ
aiti-8492	161	8	the	the	DET
aiti-8492	161	9	observation	observation	NOUN
aiti-8492	161	10	is	be	AUX
aiti-8492	161	11	very	very	ADV
aiti-8492	161	12	close	close	ADJ
aiti-8492	161	13	to	to	ADP
aiti-8492	161	14	the	the	DET
aiti-8492	161	15	decision	decision	NOUN
aiti-8492	161	16	boundary	boundary	ADJ
aiti-8492	161	17	between	between	ADP
aiti-8492	161	18	two	two	NUM
aiti-8492	161	19	neighboring	neighboring	NOUN
aiti-8492	161	20	clusters	cluster	NOUN
aiti-8492	161	21	,	,	PUNCT
aiti-8492	161	22	and	and	CCONJ
aiti-8492	161	23	a	a	DET
aiti-8492	161	24	negative	negative	ADJ
aiti-8492	161	25	score	score	NOUN
aiti-8492	161	26	indicates	indicate	VERB
aiti-8492	161	27	that	that	SCONJ
aiti-8492	161	28	those	those	DET
aiti-8492	161	29	observations	observation	NOUN
aiti-8492	161	30	might	might	AUX
aiti-8492	161	31	have	have	AUX
aiti-8492	161	32	been	be	AUX
aiti-8492	161	33	assigned	assign	VERB
aiti-8492	161	34	to	to	ADP
aiti-8492	161	35	a	a	DET
aiti-8492	161	36	wrong	wrong	ADJ
aiti-8492	161	37	cluster	cluster	NOUN
aiti-8492	161	38	.	.	PUNCT
aiti-8492	162	1	this	this	DET
aiti-8492	162	2	study	study	NOUN
aiti-8492	162	3	uses	use	VERB
aiti-8492	162	4	the	the	DET
aiti-8492	162	5	silhouette	silhouette	NOUN
aiti-8492	162	6	score	score	NOUN
aiti-8492	162	7	for	for	ADP
aiti-8492	162	8	the	the	DET
aiti-8492	162	9	analysis	analysis	NOUN
aiti-8492	162	10	.	.	PUNCT
aiti-8492	163	1	35	35	NUM
aiti-8492	163	2	advances	advance	NOUN
aiti-8492	163	3	in	in	ADP
aiti-8492	163	4	technology	technology	NOUN
aiti-8492	163	5	innovation	innovation	NOUN
aiti-8492	163	6	,	,	PUNCT
aiti-8492	163	7	vol	vol	NOUN
aiti-8492	163	8	.	.	PROPN
aiti-8492	163	9	7	7	NUM
aiti-8492	163	10	,	,	PUNCT
aiti-8492	163	11	no	no	INTJ
aiti-8492	163	12	.	.	NOUN
aiti-8492	163	13	1	1	NUM
aiti-8492	163	14	,	,	PUNCT
aiti-8492	163	15	2022	2022	NUM
aiti-8492	163	16	,	,	PUNCT
aiti-8492	163	17	pp	pp	ADJ
aiti-8492	163	18	.	.	PUNCT
aiti-8492	164	1	30	30	NUM
aiti-8492	164	2	-	-	SYM
aiti-8492	164	3	40	40	NUM
aiti-8492	164	4	a	a	DET
aiti-8492	164	5	k	k	NOUN
aiti-8492	164	6	-	-	PUNCT
aiti-8492	164	7	means	means	NOUN
aiti-8492	164	8	clustering	clustering	ADJ
aiti-8492	164	9	algorithm	algorithm	NOUN
aiti-8492	164	10	is	be	AUX
aiti-8492	164	11	used	use	VERB
aiti-8492	164	12	to	to	PART
aiti-8492	164	13	delineate	delineate	VERB
aiti-8492	164	14	the	the	DET
aiti-8492	164	15	real	real	ADJ
aiti-8492	164	16	estate	estate	NOUN
aiti-8492	164	17	market	market	NOUN
aiti-8492	164	18	,	,	PUNCT
aiti-8492	164	19	and	and	CCONJ
aiti-8492	164	20	three	three	NUM
aiti-8492	164	21	distance	distance	NOUN
aiti-8492	164	22	metrics	metric	NOUN
aiti-8492	164	23	are	be	AUX
aiti-8492	164	24	utilized	utilize	VERB
aiti-8492	164	25	.	.	PUNCT
aiti-8492	165	1	first	first	ADV
aiti-8492	165	2	,	,	PUNCT
aiti-8492	165	3	the	the	DET
aiti-8492	165	4	euclidean	euclidean	ADJ
aiti-8492	165	5	distance	distance	NOUN
aiti-8492	165	6	is	be	AUX
aiti-8492	165	7	applied	apply	VERB
aiti-8492	165	8	for	for	ADP
aiti-8492	165	9	the	the	DET
aiti-8492	165	10	five	five	NUM
aiti-8492	165	11	input	input	NOUN
aiti-8492	165	12	variables	variable	NOUN
aiti-8492	165	13	,	,	PUNCT
aiti-8492	165	14	and	and	CCONJ
aiti-8492	165	15	categorical	categorical	ADJ
aiti-8492	165	16	variables	variable	NOUN
aiti-8492	165	17	are	be	AUX
aiti-8492	165	18	converted	convert	VERB
aiti-8492	165	19	to	to	ADP
aiti-8492	165	20	binary	binary	ADJ
aiti-8492	165	21	variables	variable	NOUN
aiti-8492	165	22	using	use	VERB
aiti-8492	165	23	the	the	DET
aiti-8492	165	24	one	one	NUM
aiti-8492	165	25	-	-	PUNCT
aiti-8492	165	26	hot	hot	ADJ
aiti-8492	165	27	encoding	encoding	NOUN
aiti-8492	165	28	approach	approach	NOUN
aiti-8492	165	29	.	.	PUNCT
aiti-8492	166	1	second	second	ADJ
aiti-8492	166	2	,	,	PUNCT
aiti-8492	166	3	the	the	DET
aiti-8492	166	4	gower	gower	PROPN
aiti-8492	166	5	distance	distance	PROPN
aiti-8492	166	6	,	,	PUNCT
aiti-8492	166	7	which	which	PRON
aiti-8492	166	8	is	be	AUX
aiti-8492	166	9	capable	capable	ADJ
aiti-8492	166	10	of	of	ADP
aiti-8492	166	11	dealing	deal	VERB
aiti-8492	166	12	with	with	ADP
aiti-8492	166	13	both	both	CCONJ
aiti-8492	166	14	continuous	continuous	ADJ
aiti-8492	166	15	and	and	CCONJ
aiti-8492	166	16	categorical	categorical	ADJ
aiti-8492	166	17	variables	variable	NOUN
aiti-8492	166	18	,	,	PUNCT
aiti-8492	166	19	is	be	AUX
aiti-8492	166	20	used	use	VERB
aiti-8492	166	21	.	.	PUNCT
aiti-8492	167	1	third	third	ADJ
aiti-8492	167	2	,	,	PUNCT
aiti-8492	167	3	the	the	DET
aiti-8492	167	4	euclidean	euclidean	ADJ
aiti-8492	167	5	distance	distance	NOUN
aiti-8492	167	6	is	be	AUX
aiti-8492	167	7	applied	apply	VERB
aiti-8492	167	8	again	again	ADV
aiti-8492	167	9	,	,	PUNCT
aiti-8492	167	10	although	although	SCONJ
aiti-8492	167	11	this	this	DET
aiti-8492	167	12	time	time	NOUN
aiti-8492	167	13	the	the	DET
aiti-8492	167	14	categorical	categorical	ADJ
aiti-8492	167	15	variables	variable	NOUN
aiti-8492	167	16	are	be	AUX
aiti-8492	167	17	converted	convert	VERB
aiti-8492	167	18	to	to	ADP
aiti-8492	167	19	the	the	DET
aiti-8492	167	20	continuous	continuous	ADJ
aiti-8492	167	21	ones	one	NOUN
aiti-8492	167	22	using	use	VERB
aiti-8492	167	23	entity	entity	NOUN
aiti-8492	167	24	embedding	embed	VERB
aiti-8492	167	25	vectors	vector	NOUN
aiti-8492	167	26	.	.	PUNCT
aiti-8492	168	1	the	the	DET
aiti-8492	168	2	continuous	continuous	ADJ
aiti-8492	168	3	input	input	NOUN
aiti-8492	168	4	variables	variable	NOUN
aiti-8492	168	5	(	(	PUNCT
aiti-8492	168	6	xand	xand	NOUN
aiti-8492	168	7	ycoordinates	ycoordinate	NOUN
aiti-8492	168	8	)	)	PUNCT
aiti-8492	168	9	are	be	AUX
aiti-8492	168	10	standardized	standardize	VERB
aiti-8492	168	11	before	before	ADP
aiti-8492	168	12	calculating	calculate	VERB
aiti-8492	168	13	the	the	DET
aiti-8492	168	14	distance	distance	NOUN
aiti-8492	168	15	metrics	metric	NOUN
aiti-8492	168	16	.	.	PUNCT
aiti-8492	169	1	the	the	DET
aiti-8492	169	2	k	k	NOUN
aiti-8492	169	3	-	-	PUNCT
aiti-8492	169	4	means	means	NOUN
aiti-8492	169	5	algorithm	algorithm	NOUN
aiti-8492	169	6	is	be	AUX
aiti-8492	169	7	implemented	implement	VERB
aiti-8492	169	8	primarily	primarily	ADV
aiti-8492	169	9	following	follow	VERB
aiti-8492	169	10	the	the	DET
aiti-8492	169	11	clustering	clustering	ADJ
aiti-8492	169	12	algorithm	algorithm	NOUN
aiti-8492	169	13	described	describe	VERB
aiti-8492	169	14	in	in	ADP
aiti-8492	169	15	the	the	DET
aiti-8492	169	16	work	work	NOUN
aiti-8492	169	17	of	of	ADP
aiti-8492	169	18	kaufman	kaufman	PROPN
aiti-8492	169	19	et	et	PROPN
aiti-8492	169	20	al	al	PROPN
aiti-8492	169	21	.	.	PUNCT
aiti-8492	170	1	[	[	X
aiti-8492	170	2	41	41	NUM
aiti-8492	170	3	]	]	PUNCT
aiti-8492	170	4	.	.	PUNCT
aiti-8492	171	1	fig	fig	NOUN
aiti-8492	171	2	.	.	PUNCT
aiti-8492	172	1	3	3	NUM
aiti-8492	172	2	shows	show	VERB
aiti-8492	172	3	the	the	DET
aiti-8492	172	4	respective	respective	ADJ
aiti-8492	172	5	silhouette	silhouette	NOUN
aiti-8492	172	6	score	score	NOUN
aiti-8492	172	7	for	for	ADP
aiti-8492	172	8	k	k	NOUN
aiti-8492	172	9	-	-	PUNCT
aiti-8492	172	10	means	means	NOUN
aiti-8492	172	11	clustering	clustering	NOUN
aiti-8492	172	12	based	base	VERB
aiti-8492	172	13	on	on	ADP
aiti-8492	172	14	the	the	DET
aiti-8492	172	15	following	follow	VERB
aiti-8492	172	16	three	three	NUM
aiti-8492	172	17	distance	distance	NOUN
aiti-8492	172	18	metrics	metric	NOUN
aiti-8492	172	19	:	:	PUNCT
aiti-8492	172	20	the	the	DET
aiti-8492	172	21	euclidean	euclidean	ADJ
aiti-8492	172	22	distance	distance	NOUN
aiti-8492	172	23	,	,	PUNCT
aiti-8492	172	24	the	the	DET
aiti-8492	172	25	gower	gower	PROPN
aiti-8492	172	26	distance	distance	NOUN
aiti-8492	172	27	,	,	PUNCT
aiti-8492	172	28	and	and	CCONJ
aiti-8492	172	29	the	the	DET
aiti-8492	172	30	euclidean	euclidean	ADJ
aiti-8492	172	31	distance	distance	NOUN
aiti-8492	172	32	empowered	empower	VERB
aiti-8492	172	33	by	by	ADP
aiti-8492	172	34	embedding	embed	VERB
aiti-8492	172	35	vectors	vector	NOUN
aiti-8492	172	36	(	(	PUNCT
aiti-8492	172	37	hereafter	hereafter	ADV
aiti-8492	172	38	denoted	denote	VERB
aiti-8492	172	39	as	as	ADP
aiti-8492	172	40	euclidean	euclidean	ADJ
aiti-8492	172	41	distance	distance	NOUN
aiti-8492	172	42	1	1	NUM
aiti-8492	172	43	,	,	PUNCT
aiti-8492	172	44	gower	gower	PROPN
aiti-8492	172	45	distance	distance	NOUN
aiti-8492	172	46	,	,	PUNCT
aiti-8492	172	47	and	and	CCONJ
aiti-8492	172	48	euclidean	euclidean	ADJ
aiti-8492	172	49	distance	distance	NOUN
aiti-8492	172	50	2	2	NUM
aiti-8492	172	51	,	,	PUNCT
aiti-8492	172	52	respectively	respectively	ADV
aiti-8492	172	53	)	)	PUNCT
aiti-8492	172	54	.	.	PUNCT
aiti-8492	173	1	for	for	ADP
aiti-8492	173	2	the	the	DET
aiti-8492	173	3	categorical	categorical	ADJ
aiti-8492	173	4	variables	variable	NOUN
aiti-8492	173	5	,	,	PUNCT
aiti-8492	173	6	the	the	DET
aiti-8492	173	7	one	one	NUM
aiti-8492	173	8	-	-	PUNCT
aiti-8492	173	9	hot	hot	ADJ
aiti-8492	173	10	encoding	encoding	NOUN
aiti-8492	173	11	approach	approach	NOUN
aiti-8492	173	12	is	be	AUX
aiti-8492	173	13	used	use	VERB
aiti-8492	173	14	in	in	ADP
aiti-8492	173	15	euclidean	euclidean	ADJ
aiti-8492	173	16	distance	distance	NOUN
aiti-8492	173	17	1	1	NUM
aiti-8492	173	18	,	,	PUNCT
aiti-8492	173	19	and	and	CCONJ
aiti-8492	173	20	the	the	DET
aiti-8492	173	21	entity	entity	NOUN
aiti-8492	173	22	embedding	embed	VERB
aiti-8492	173	23	approach	approach	NOUN
aiti-8492	173	24	is	be	AUX
aiti-8492	173	25	employed	employ	VERB
aiti-8492	173	26	in	in	ADP
aiti-8492	173	27	euclidean	euclidean	ADJ
aiti-8492	173	28	distance	distance	NOUN
aiti-8492	173	29	2	2	NUM
aiti-8492	173	30	.	.	PUNCT
aiti-8492	174	1	after	after	ADP
aiti-8492	174	2	reviewing	review	VERB
aiti-8492	174	3	the	the	DET
aiti-8492	174	4	visual	visual	ADJ
aiti-8492	174	5	depictions	depiction	NOUN
aiti-8492	174	6	in	in	ADP
aiti-8492	174	7	the	the	DET
aiti-8492	174	8	figure	figure	NOUN
aiti-8492	174	9	,	,	PUNCT
aiti-8492	174	10	three	three	NUM
aiti-8492	174	11	,	,	PUNCT
aiti-8492	174	12	four	four	NUM
aiti-8492	174	13	,	,	PUNCT
aiti-8492	174	14	and	and	CCONJ
aiti-8492	174	15	three	three	NUM
aiti-8492	174	16	clusters	cluster	NOUN
aiti-8492	174	17	are	be	AUX
aiti-8492	174	18	chosen	choose	VERB
aiti-8492	174	19	for	for	ADP
aiti-8492	174	20	each	each	DET
aiti-8492	174	21	algorithm	algorithm	NOUN
aiti-8492	174	22	.	.	PUNCT
aiti-8492	175	1	as	as	SCONJ
aiti-8492	175	2	shown	show	VERB
aiti-8492	175	3	in	in	ADP
aiti-8492	175	4	panels	panel	NOUN
aiti-8492	175	5	(	(	PUNCT
aiti-8492	175	6	a	a	X
aiti-8492	175	7	)	)	PUNCT
aiti-8492	175	8	and	and	CCONJ
aiti-8492	175	9	(	(	PUNCT
aiti-8492	175	10	b	b	NOUN
aiti-8492	175	11	)	)	PUNCT
aiti-8492	175	12	of	of	ADP
aiti-8492	175	13	fig	fig	NOUN
aiti-8492	175	14	.	.	PUNCT
aiti-8492	176	1	3	3	NUM
aiti-8492	176	2	,	,	PUNCT
aiti-8492	176	3	there	there	PRON
aiti-8492	176	4	are	be	VERB
aiti-8492	176	5	points	point	NOUN
aiti-8492	176	6	with	with	ADP
aiti-8492	176	7	higher	high	ADJ
aiti-8492	176	8	scores	score	NOUN
aiti-8492	176	9	than	than	ADP
aiti-8492	176	10	those	those	PRON
aiti-8492	176	11	of	of	ADP
aiti-8492	176	12	the	the	DET
aiti-8492	176	13	chosen	choose	VERB
aiti-8492	176	14	points	point	NOUN
aiti-8492	176	15	;	;	PUNCT
aiti-8492	176	16	however	however	ADV
aiti-8492	176	17	,	,	PUNCT
aiti-8492	176	18	the	the	DET
aiti-8492	176	19	model	model	NOUN
aiti-8492	176	20	sparsity	sparsity	NOUN
aiti-8492	176	21	is	be	AUX
aiti-8492	176	22	also	also	ADV
aiti-8492	176	23	considered	consider	VERB
aiti-8492	176	24	when	when	SCONJ
aiti-8492	176	25	choosing	choose	VERB
aiti-8492	176	26	the	the	DET
aiti-8492	176	27	optimal	optimal	ADJ
aiti-8492	176	28	number	number	NOUN
aiti-8492	176	29	of	of	ADP
aiti-8492	176	30	clusters	cluster	NOUN
aiti-8492	176	31	.	.	PUNCT
aiti-8492	177	1	(	(	PUNCT
aiti-8492	177	2	a	a	X
aiti-8492	177	3	)	)	PUNCT
aiti-8492	177	4	euclidean	euclidean	ADJ
aiti-8492	177	5	distance	distance	NOUN
aiti-8492	177	6	1	1	NUM
aiti-8492	177	7	(	(	PUNCT
aiti-8492	177	8	b	b	NOUN
aiti-8492	177	9	)	)	PUNCT
aiti-8492	177	10	gower	gower	NOUN
aiti-8492	177	11	distance	distance	NOUN
aiti-8492	177	12	(	(	PUNCT
aiti-8492	177	13	c	c	NOUN
aiti-8492	177	14	)	)	PUNCT
aiti-8492	177	15	euclidean	euclidean	ADJ
aiti-8492	177	16	distance	distance	NOUN
aiti-8492	177	17	2	2	NUM
aiti-8492	177	18	fig	fig	NOUN
aiti-8492	177	19	.	.	PUNCT
aiti-8492	178	1	3	3	NUM
aiti-8492	178	2	silhouette	silhouette	NOUN
aiti-8492	178	3	score	score	NOUN
aiti-8492	178	4	for	for	ADP
aiti-8492	178	5	each	each	DET
aiti-8492	178	6	clustering	clustering	ADJ
aiti-8492	178	7	algorithm	algorithm	NOUN
aiti-8492	178	8	4	4	NUM
aiti-8492	178	9	.	.	PUNCT
aiti-8492	178	10	results	result	VERB
aiti-8492	178	11	4.1	4.1	NUM
aiti-8492	178	12	.	.	PUNCT
aiti-8492	179	1	results	result	NOUN
aiti-8492	179	2	and	and	CCONJ
aiti-8492	179	3	evaluation	evaluation	NOUN
aiti-8492	179	4	fig	fig	NOUN
aiti-8492	179	5	.	.	PUNCT
aiti-8492	180	1	4	4	NUM
aiti-8492	180	2	shows	show	VERB
aiti-8492	180	3	the	the	DET
aiti-8492	180	4	market	market	NOUN
aiti-8492	180	5	delineation	delineation	NOUN
aiti-8492	180	6	results	result	NOUN
aiti-8492	180	7	from	from	ADP
aiti-8492	180	8	the	the	DET
aiti-8492	180	9	three	three	NUM
aiti-8492	180	10	k	k	ADJ
aiti-8492	180	11	-	-	PUNCT
aiti-8492	180	12	means	means	NOUN
aiti-8492	180	13	algorithms	algorithm	NOUN
aiti-8492	180	14	based	base	VERB
aiti-8492	180	15	on	on	ADP
aiti-8492	180	16	the	the	DET
aiti-8492	180	17	euclidean	euclidean	ADJ
aiti-8492	180	18	distance	distance	NOUN
aiti-8492	180	19	1	1	NUM
aiti-8492	180	20	,	,	PUNCT
aiti-8492	180	21	gower	gower	PROPN
aiti-8492	180	22	distance	distance	NOUN
aiti-8492	180	23	,	,	PUNCT
aiti-8492	180	24	and	and	CCONJ
aiti-8492	180	25	euclidean	euclidean	ADJ
aiti-8492	180	26	distance	distance	NOUN
aiti-8492	180	27	2	2	NUM
aiti-8492	180	28	,	,	PUNCT
aiti-8492	180	29	respectively	respectively	ADV
aiti-8492	180	30	.	.	PUNCT
aiti-8492	181	1	each	each	DET
aiti-8492	181	2	k	k	NOUN
aiti-8492	181	3	-	-	PUNCT
aiti-8492	181	4	means	means	NOUN
aiti-8492	181	5	algorithm	algorithm	NOUN
aiti-8492	181	6	produces	produce	VERB
aiti-8492	181	7	three	three	NUM
aiti-8492	181	8	,	,	PUNCT
aiti-8492	181	9	four	four	NUM
aiti-8492	181	10	,	,	PUNCT
aiti-8492	181	11	and	and	CCONJ
aiti-8492	181	12	three	three	NUM
aiti-8492	181	13	submarkets	submarket	NOUN
aiti-8492	181	14	,	,	PUNCT
aiti-8492	181	15	respectively	respectively	ADV
aiti-8492	181	16	,	,	PUNCT
aiti-8492	181	17	as	as	SCONJ
aiti-8492	181	18	shown	show	VERB
aiti-8492	181	19	in	in	ADP
aiti-8492	181	20	the	the	DET
aiti-8492	181	21	panels	panel	NOUN
aiti-8492	181	22	(	(	PUNCT
aiti-8492	181	23	a	a	X
aiti-8492	181	24	)	)	PUNCT
aiti-8492	181	25	,	,	PUNCT
aiti-8492	181	26	(	(	PUNCT
aiti-8492	181	27	b	b	NOUN
aiti-8492	181	28	)	)	PUNCT
aiti-8492	181	29	,	,	PUNCT
aiti-8492	181	30	and	and	CCONJ
aiti-8492	181	31	(	(	PUNCT
aiti-8492	181	32	c	c	X
aiti-8492	181	33	)	)	PUNCT
aiti-8492	181	34	in	in	ADP
aiti-8492	181	35	the	the	DET
aiti-8492	181	36	figure	figure	NOUN
aiti-8492	181	37	.	.	PUNCT
aiti-8492	182	1	the	the	DET
aiti-8492	182	2	three	three	NUM
aiti-8492	182	3	submarkets	submarket	NOUN
aiti-8492	182	4	delineated	delineate	VERB
aiti-8492	182	5	by	by	ADP
aiti-8492	182	6	the	the	DET
aiti-8492	182	7	k	k	PROPN
aiti-8492	182	8	-	-	PUNCT
aiti-8492	182	9	means	means	NOUN
aiti-8492	182	10	algorithm	algorithm	NOUN
aiti-8492	182	11	based	base	VERB
aiti-8492	182	12	on	on	ADP
aiti-8492	182	13	euclidean	euclidean	ADJ
aiti-8492	182	14	distances	distance	NOUN
aiti-8492	182	15	1	1	NUM
aiti-8492	182	16	and	and	CCONJ
aiti-8492	182	17	2	2	NUM
aiti-8492	182	18	appear	appear	VERB
aiti-8492	182	19	to	to	PART
aiti-8492	182	20	correspond	correspond	VERB
aiti-8492	182	21	approximately	approximately	ADV
aiti-8492	182	22	to	to	ADP
aiti-8492	182	23	northern	northern	ADJ
aiti-8492	182	24	,	,	PUNCT
aiti-8492	182	25	southern	southern	ADJ
aiti-8492	182	26	,	,	PUNCT
aiti-8492	182	27	and	and	CCONJ
aiti-8492	182	28	eastern	eastern	ADJ
aiti-8492	182	29	parts	part	NOUN
aiti-8492	182	30	of	of	ADP
aiti-8492	182	31	the	the	DET
aiti-8492	182	32	study	study	NOUN
aiti-8492	182	33	area	area	NOUN
aiti-8492	182	34	.	.	PUNCT
aiti-8492	183	1	the	the	DET
aiti-8492	183	2	four	four	NUM
aiti-8492	183	3	submarkets	submarket	NOUN
aiti-8492	183	4	identified	identify	VERB
aiti-8492	183	5	by	by	ADP
aiti-8492	183	6	the	the	DET
aiti-8492	183	7	k	k	PROPN
aiti-8492	183	8	-	-	PUNCT
aiti-8492	183	9	means	means	NOUN
aiti-8492	183	10	algorithm	algorithm	NOUN
aiti-8492	183	11	utilizing	utilize	VERB
aiti-8492	183	12	gower	gower	PROPN
aiti-8492	183	13	distance	distance	PROPN
aiti-8492	183	14	correspond	correspond	VERB
aiti-8492	183	15	approximately	approximately	ADV
aiti-8492	183	16	to	to	ADP
aiti-8492	183	17	northern	northern	ADJ
aiti-8492	183	18	,	,	PUNCT
aiti-8492	183	19	middle	middle	ADJ
aiti-8492	183	20	,	,	PUNCT
aiti-8492	183	21	southern	southern	ADJ
aiti-8492	183	22	,	,	PUNCT
aiti-8492	183	23	and	and	CCONJ
aiti-8492	183	24	eastern	eastern	ADJ
aiti-8492	183	25	parts	part	NOUN
aiti-8492	183	26	of	of	ADP
aiti-8492	183	27	the	the	DET
aiti-8492	183	28	study	study	NOUN
aiti-8492	183	29	area	area	NOUN
aiti-8492	183	30	.	.	PUNCT
aiti-8492	184	1	(	(	PUNCT
aiti-8492	184	2	a	a	X
aiti-8492	184	3	)	)	PUNCT
aiti-8492	184	4	euclidean	euclidean	ADJ
aiti-8492	184	5	distance	distance	NOUN
aiti-8492	184	6	1	1	NUM
aiti-8492	184	7	(	(	PUNCT
aiti-8492	184	8	b	b	NOUN
aiti-8492	184	9	)	)	PUNCT
aiti-8492	184	10	gower	gower	NOUN
aiti-8492	184	11	distance	distance	NOUN
aiti-8492	184	12	(	(	PUNCT
aiti-8492	184	13	c	c	NOUN
aiti-8492	184	14	)	)	PUNCT
aiti-8492	184	15	euclidean	euclidean	ADJ
aiti-8492	184	16	distance	distance	NOUN
aiti-8492	184	17	2	2	NUM
aiti-8492	184	18	fig	fig	NOUN
aiti-8492	184	19	.	.	PUNCT
aiti-8492	185	1	4	4	NUM
aiti-8492	185	2	market	market	NOUN
aiti-8492	185	3	delineation	delineation	NOUN
aiti-8492	185	4	results	result	VERB
aiti-8492	185	5	36	36	NUM
aiti-8492	185	6	advances	advance	NOUN
aiti-8492	185	7	in	in	ADP
aiti-8492	185	8	technology	technology	NOUN
aiti-8492	185	9	innovation	innovation	NOUN
aiti-8492	185	10	,	,	PUNCT
aiti-8492	185	11	vol	vol	NOUN
aiti-8492	185	12	.	.	PROPN
aiti-8492	186	1	7	7	NUM
aiti-8492	186	2	,	,	PUNCT
aiti-8492	186	3	no	no	INTJ
aiti-8492	186	4	.	.	NOUN
aiti-8492	186	5	1	1	NUM
aiti-8492	186	6	,	,	PUNCT
aiti-8492	186	7	2022	2022	NUM
aiti-8492	186	8	,	,	PUNCT
aiti-8492	186	9	pp	pp	ADJ
aiti-8492	186	10	.	.	PUNCT
aiti-8492	187	1	30	30	NUM
aiti-8492	187	2	-	-	SYM
aiti-8492	187	3	40	40	NUM
aiti-8492	187	4	the	the	DET
aiti-8492	187	5	clustering	clustering	ADJ
aiti-8492	187	6	results	result	NOUN
aiti-8492	187	7	generally	generally	ADV
aiti-8492	187	8	need	need	VERB
aiti-8492	187	9	to	to	PART
aiti-8492	187	10	be	be	AUX
aiti-8492	187	11	checked	check	VERB
aiti-8492	187	12	using	use	VERB
aiti-8492	187	13	external	external	ADJ
aiti-8492	187	14	validity	validity	NOUN
aiti-8492	187	15	measures	measure	NOUN
aiti-8492	187	16	,	,	PUNCT
aiti-8492	187	17	which	which	PRON
aiti-8492	187	18	can	can	AUX
aiti-8492	187	19	vary	vary	VERB
aiti-8492	187	20	depending	depend	VERB
aiti-8492	187	21	on	on	ADP
aiti-8492	187	22	the	the	DET
aiti-8492	187	23	dataset	dataset	NOUN
aiti-8492	187	24	and	and	CCONJ
aiti-8492	187	25	application	application	NOUN
aiti-8492	187	26	areas	area	NOUN
aiti-8492	187	27	,	,	PUNCT
aiti-8492	187	28	as	as	SCONJ
aiti-8492	187	29	explained	explain	VERB
aiti-8492	187	30	earlier	early	ADV
aiti-8492	187	31	.	.	PUNCT
aiti-8492	188	1	this	this	DET
aiti-8492	188	2	study	study	NOUN
aiti-8492	188	3	uses	use	VERB
aiti-8492	188	4	the	the	DET
aiti-8492	188	5	predictive	predictive	ADJ
aiti-8492	188	6	accuracy	accuracy	NOUN
aiti-8492	188	7	of	of	ADP
aiti-8492	188	8	price	price	NOUN
aiti-8492	188	9	estimation	estimation	NOUN
aiti-8492	188	10	for	for	ADP
aiti-8492	188	11	the	the	DET
aiti-8492	188	12	external	external	ADJ
aiti-8492	188	13	validity	validity	NOUN
aiti-8492	188	14	measure	measure	NOUN
aiti-8492	188	15	.	.	PUNCT
aiti-8492	189	1	conversely	conversely	ADV
aiti-8492	189	2	,	,	PUNCT
aiti-8492	189	3	the	the	DET
aiti-8492	189	4	delineation	delineation	NOUN
aiti-8492	189	5	results	result	NOUN
aiti-8492	189	6	are	be	AUX
aiti-8492	189	7	evaluated	evaluate	VERB
aiti-8492	189	8	on	on	ADP
aiti-8492	189	9	the	the	DET
aiti-8492	189	10	basis	basis	NOUN
aiti-8492	189	11	of	of	ADP
aiti-8492	189	12	the	the	DET
aiti-8492	189	13	accuracy	accuracy	NOUN
aiti-8492	189	14	of	of	ADP
aiti-8492	189	15	the	the	DET
aiti-8492	189	16	predicted	predict	VERB
aiti-8492	189	17	price	price	NOUN
aiti-8492	189	18	for	for	ADP
aiti-8492	189	19	each	each	DET
aiti-8492	189	20	submarket	submarket	NOUN
aiti-8492	189	21	.	.	PUNCT
aiti-8492	190	1	this	this	DET
aiti-8492	190	2	approach	approach	NOUN
aiti-8492	190	3	is	be	AUX
aiti-8492	190	4	often	often	ADV
aiti-8492	190	5	used	use	VERB
aiti-8492	190	6	to	to	PART
aiti-8492	190	7	compare	compare	VERB
aiti-8492	190	8	the	the	DET
aiti-8492	190	9	resultant	resultant	NOUN
aiti-8492	190	10	submarkets	submarket	NOUN
aiti-8492	190	11	delineated	delineate	VERB
aiti-8492	190	12	by	by	ADP
aiti-8492	190	13	clustering	cluster	VERB
aiti-8492	190	14	algorithms	algorithm	NOUN
aiti-8492	190	15	[	[	X
aiti-8492	190	16	42	42	NUM
aiti-8492	190	17	]	]	PUNCT
aiti-8492	190	18	.	.	PUNCT
aiti-8492	191	1	the	the	DET
aiti-8492	191	2	price	price	NOUN
aiti-8492	191	3	is	be	AUX
aiti-8492	191	4	estimated	estimate	VERB
aiti-8492	191	5	using	use	VERB
aiti-8492	191	6	the	the	DET
aiti-8492	191	7	well	well	ADV
aiti-8492	191	8	-	-	PUNCT
aiti-8492	191	9	established	establish	VERB
aiti-8492	191	10	hedonic	hedonic	ADJ
aiti-8492	191	11	pricing	pricing	NOUN
aiti-8492	191	12	model	model	NOUN
aiti-8492	191	13	,	,	PUNCT
aiti-8492	191	14	as	as	SCONJ
aiti-8492	191	15	follows	follow	VERB
aiti-8492	191	16	[	[	X
aiti-8492	191	17	43	43	NUM
aiti-8492	191	18	-	-	SYM
aiti-8492	191	19	45	45	NUM
aiti-8492	191	20	]	]	PUNCT
aiti-8492	191	21	:	:	PUNCT
aiti-8492	192	1	i	i	PRON
aiti-8492	192	2	i	i	PRON
aiti-8492	193	1	i	i	PRON
aiti-8492	193	2	i	i	PRON
aiti-8492	194	1	i	i	PRON
aiti-8492	195	1	i	i	PRON
aiti-8492	196	1	i	i	PRON
aiti-8492	196	2	price	price	VERB
aiti-8492	196	3	zip	zip	NOUN
aiti-8492	196	4	zone	zone	NOUN
aiti-8492	196	5	year	year	NOUN
aiti-8492	196	6	shape	shape	NOUN
aiti-8492	196	7	bearing	bear	VERB
aiti-8492	196	8	area=	area=	NUM
aiti-8492	196	9	+	+	PUNCT
aiti-8492	197	1	+	+	PUNCT
aiti-8492	198	1	+	+	PUNCT
aiti-8492	198	2	+	+	PUNCT
aiti-8492	198	3	+	+	CCONJ
aiti-8492	198	4	(	(	PUNCT
aiti-8492	198	5	3	3	NUM
aiti-8492	198	6	)	)	PUNCT
aiti-8492	198	7	where	where	SCONJ
aiti-8492	198	8	pricei	pricei	NOUN
aiti-8492	198	9	denotes	denote	VERB
aiti-8492	198	10	the	the	DET
aiti-8492	198	11	sales	sale	NOUN
aiti-8492	198	12	price	price	NOUN
aiti-8492	198	13	per	per	ADP
aiti-8492	198	14	square	square	ADJ
aiti-8492	198	15	meter	meter	NOUN
aiti-8492	198	16	of	of	ADP
aiti-8492	198	17	lot	lot	NOUN
aiti-8492	198	18	i	i	NOUN
aiti-8492	198	19	,	,	PUNCT
aiti-8492	198	20	zipi	zipi	NOUN
aiti-8492	198	21	and	and	CCONJ
aiti-8492	198	22	zonei	zonei	PROPN
aiti-8492	198	23	denote	denote	VERB
aiti-8492	198	24	the	the	DET
aiti-8492	198	25	areas	area	NOUN
aiti-8492	198	26	to	to	PART
aiti-8492	198	27	which	which	DET
aiti-8492	198	28	lot	lot	NOUN
aiti-8492	198	29	i	i	PRON
aiti-8492	198	30	belongs	belong	VERB
aiti-8492	198	31	,	,	PUNCT
aiti-8492	198	32	and	and	CCONJ
aiti-8492	198	33	yeari	yeari	PROPN
aiti-8492	198	34	denotes	denote	VERB
aiti-8492	198	35	the	the	DET
aiti-8492	198	36	year	year	NOUN
aiti-8492	198	37	in	in	ADP
aiti-8492	198	38	which	which	DET
aiti-8492	198	39	lot	lot	NOUN
aiti-8492	198	40	i	i	PRON
aiti-8492	198	41	is	be	AUX
aiti-8492	198	42	sold	sell	VERB
aiti-8492	198	43	.	.	PUNCT
aiti-8492	199	1	shapei	shapei	NOUN
aiti-8492	199	2	of	of	ADP
aiti-8492	199	3	lot	lot	NOUN
aiti-8492	199	4	i	i	PRON
aiti-8492	199	5	has	have	VERB
aiti-8492	199	6	two	two	NUM
aiti-8492	199	7	levels	level	NOUN
aiti-8492	199	8	:	:	PUNCT
aiti-8492	199	9	regular	regular	ADJ
aiti-8492	199	10	and	and	CCONJ
aiti-8492	199	11	irregular	irregular	ADJ
aiti-8492	199	12	shape	shape	NOUN
aiti-8492	199	13	.	.	PUNCT
aiti-8492	200	1	bearingi	bearingi	NOUN
aiti-8492	200	2	of	of	ADP
aiti-8492	200	3	lot	lot	NOUN
aiti-8492	200	4	i	i	PRON
aiti-8492	200	5	comprises	comprise	VERB
aiti-8492	200	6	four	four	NUM
aiti-8492	200	7	levels	level	NOUN
aiti-8492	200	8	:	:	PUNCT
aiti-8492	200	9	east	east	ADJ
aiti-8492	200	10	,	,	PUNCT
aiti-8492	200	11	west	west	PROPN
aiti-8492	200	12	,	,	PUNCT
aiti-8492	200	13	south	south	ADJ
aiti-8492	200	14	,	,	PUNCT
aiti-8492	200	15	and	and	CCONJ
aiti-8492	200	16	north	north	NOUN
aiti-8492	200	17	.	.	PUNCT
aiti-8492	201	1	finally	finally	ADV
aiti-8492	201	2	,	,	PUNCT
aiti-8492	201	3	areai	areai	PROPN
aiti-8492	201	4	represents	represent	VERB
aiti-8492	201	5	the	the	DET
aiti-8492	201	6	size	size	NOUN
aiti-8492	201	7	of	of	ADP
aiti-8492	201	8	lot	lot	NOUN
aiti-8492	201	9	i	i	PRON
aiti-8492	201	10	measured	measure	VERB
aiti-8492	201	11	in	in	ADP
aiti-8492	201	12	square	square	ADJ
aiti-8492	201	13	meters	meter	NOUN
aiti-8492	201	14	.	.	PUNCT
aiti-8492	202	1	then	then	ADV
aiti-8492	202	2	,	,	PUNCT
aiti-8492	202	3	the	the	DET
aiti-8492	202	4	root	root	NOUN
aiti-8492	202	5	-	-	PUNCT
aiti-8492	202	6	mean	mean	ADJ
aiti-8492	202	7	-	-	PUNCT
aiti-8492	202	8	square	square	NOUN
aiti-8492	202	9	error	error	NOUN
aiti-8492	202	10	(	(	PUNCT
aiti-8492	202	11	rmse	rmse	ADJ
aiti-8492	202	12	)	)	PUNCT
aiti-8492	202	13	criterion	criterion	NOUN
aiti-8492	202	14	is	be	AUX
aiti-8492	202	15	used	use	VERB
aiti-8492	202	16	for	for	ADP
aiti-8492	202	17	comparing	compare	VERB
aiti-8492	202	18	the	the	DET
aiti-8492	202	19	predictive	predictive	ADJ
aiti-8492	202	20	accuracy	accuracy	NOUN
aiti-8492	202	21	,	,	PUNCT
aiti-8492	202	22	as	as	SCONJ
aiti-8492	202	23	follows	follow	VERB
aiti-8492	202	24	[	[	X
aiti-8492	202	25	46	46	NUM
aiti-8492	202	26	]	]	X
aiti-8492	202	27	:	:	PUNCT
aiti-8492	202	28	(	(	PUNCT
aiti-8492	202	29	)	)	SYM
aiti-8492	202	30	2	2	NUM
aiti-8492	202	31	1	1	NUM
aiti-8492	202	32	1	1	NUM
aiti-8492	202	33	ˆ	ˆ	NOUN
aiti-8492	203	1	n	n	NOUN
aiti-8492	204	1	i	i	PRON
aiti-8492	204	2	rmse	rmse	VERB
aiti-8492	204	3	y	y	PROPN
aiti-8492	204	4	y	y	PROPN
aiti-8492	204	5	n	n	PROPN
aiti-8492	204	6	=	=	SYM
aiti-8492	204	7	=	=	SYM
aiti-8492	204	8	−∑	−∑	PROPN
aiti-8492	204	9	(	(	PUNCT
aiti-8492	204	10	4	4	NUM
aiti-8492	204	11	)	)	PUNCT
aiti-8492	204	12	where	where	SCONJ
aiti-8492	204	13	�	�	PROPN
aiti-8492	204	14	denotes	denote	VERB
aiti-8492	204	15	the	the	DET
aiti-8492	204	16	price	price	NOUN
aiti-8492	204	17	predicted	predict	VERB
aiti-8492	204	18	by	by	ADP
aiti-8492	204	19	the	the	DET
aiti-8492	204	20	pricing	pricing	NOUN
aiti-8492	204	21	model	model	NOUN
aiti-8492	204	22	,	,	PUNCT
aiti-8492	204	23	and	and	CCONJ
aiti-8492	204	24	y	y	PROPN
aiti-8492	204	25	denotes	denote	VERB
aiti-8492	204	26	the	the	DET
aiti-8492	204	27	observed	observed	ADJ
aiti-8492	204	28	price	price	NOUN
aiti-8492	204	29	.	.	PUNCT
aiti-8492	205	1	table	table	NOUN
aiti-8492	205	2	3	3	NUM
aiti-8492	205	3	presents	present	VERB
aiti-8492	205	4	the	the	DET
aiti-8492	205	5	predictive	predictive	ADJ
aiti-8492	205	6	accuracy	accuracy	NOUN
aiti-8492	205	7	(	(	PUNCT
aiti-8492	205	8	rmse	rmse	NOUN
aiti-8492	205	9	)	)	PUNCT
aiti-8492	205	10	for	for	ADP
aiti-8492	205	11	each	each	DET
aiti-8492	205	12	submarket	submarket	NOUN
aiti-8492	205	13	.	.	PUNCT
aiti-8492	206	1	prices	price	NOUN
aiti-8492	206	2	in	in	ADP
aiti-8492	206	3	which	which	PRON
aiti-8492	206	4	rmse	rmse	NOUN
aiti-8492	206	5	is	be	AUX
aiti-8492	206	6	measured	measure	VERB
aiti-8492	206	7	are	be	AUX
aiti-8492	206	8	standardized	standardize	VERB
aiti-8492	206	9	to	to	PART
aiti-8492	206	10	have	have	VERB
aiti-8492	206	11	a	a	DET
aiti-8492	206	12	mean	mean	NOUN
aiti-8492	206	13	of	of	ADP
aiti-8492	206	14	zero	zero	NUM
aiti-8492	206	15	and	and	CCONJ
aiti-8492	206	16	a	a	DET
aiti-8492	206	17	standard	standard	ADJ
aiti-8492	206	18	deviation	deviation	NOUN
aiti-8492	206	19	of	of	ADP
aiti-8492	206	20	one	one	NUM
aiti-8492	206	21	.	.	PUNCT
aiti-8492	207	1	although	although	SCONJ
aiti-8492	207	2	the	the	DET
aiti-8492	207	3	marginal	marginal	ADJ
aiti-8492	207	4	difference	difference	NOUN
aiti-8492	207	5	in	in	ADP
aiti-8492	207	6	average	average	ADJ
aiti-8492	207	7	rmse	rmse	NOUN
aiti-8492	207	8	exists	exist	VERB
aiti-8492	207	9	between	between	ADP
aiti-8492	207	10	euclidean	euclidean	ADJ
aiti-8492	207	11	distance	distance	NOUN
aiti-8492	207	12	1	1	NUM
aiti-8492	207	13	and	and	CCONJ
aiti-8492	207	14	gower	gower	PROPN
aiti-8492	207	15	distance	distance	PROPN
aiti-8492	207	16	,	,	PUNCT
aiti-8492	207	17	the	the	DET
aiti-8492	207	18	average	average	ADJ
aiti-8492	207	19	rmse	rmse	NOUN
aiti-8492	207	20	for	for	ADP
aiti-8492	207	21	the	the	DET
aiti-8492	207	22	submarkets	submarket	NOUN
aiti-8492	207	23	created	create	VERB
aiti-8492	207	24	by	by	ADP
aiti-8492	207	25	euclidean	euclidean	ADJ
aiti-8492	207	26	distance	distance	NOUN
aiti-8492	207	27	2	2	NUM
aiti-8492	207	28	is	be	AUX
aiti-8492	207	29	significantly	significantly	ADV
aiti-8492	207	30	reduced	reduce	VERB
aiti-8492	207	31	compared	compare	VERB
aiti-8492	207	32	with	with	ADP
aiti-8492	207	33	the	the	DET
aiti-8492	207	34	former	former	ADJ
aiti-8492	207	35	two	two	NUM
aiti-8492	207	36	results	result	NOUN
aiti-8492	207	37	.	.	PUNCT
aiti-8492	208	1	the	the	DET
aiti-8492	208	2	average	average	ADJ
aiti-8492	208	3	rmse	rmse	NOUN
aiti-8492	208	4	in	in	ADP
aiti-8492	208	5	euclidean	euclidean	ADJ
aiti-8492	208	6	distance	distance	NOUN
aiti-8492	208	7	2	2	NUM
aiti-8492	208	8	is	be	AUX
aiti-8492	208	9	reduced	reduce	VERB
aiti-8492	208	10	by	by	ADP
aiti-8492	208	11	10	10	NUM
aiti-8492	208	12	%	%	NOUN
aiti-8492	208	13	approximately	approximately	ADV
aiti-8492	208	14	,	,	PUNCT
aiti-8492	208	15	from	from	ADP
aiti-8492	208	16	0.076	0.076	NUM
aiti-8492	208	17	-	-	PUNCT
aiti-8492	208	18	0.077	0.077	NUM
aiti-8492	208	19	(	(	PUNCT
aiti-8492	208	20	euclidean	euclidean	ADJ
aiti-8492	208	21	distance	distance	NOUN
aiti-8492	208	22	1	1	NUM
aiti-8492	208	23	and	and	CCONJ
aiti-8492	208	24	gower	gower	PROPN
aiti-8492	208	25	distance	distance	PROPN
aiti-8492	208	26	)	)	PUNCT
aiti-8492	208	27	to	to	ADP
aiti-8492	208	28	0.069	0.069	NUM
aiti-8492	208	29	.	.	PUNCT
aiti-8492	209	1	this	this	DET
aiti-8492	209	2	decrease	decrease	NOUN
aiti-8492	209	3	could	could	AUX
aiti-8492	209	4	be	be	AUX
aiti-8492	209	5	attributed	attribute	VERB
aiti-8492	209	6	to	to	ADP
aiti-8492	209	7	the	the	DET
aiti-8492	209	8	capability	capability	NOUN
aiti-8492	209	9	of	of	ADP
aiti-8492	209	10	embedding	embed	VERB
aiti-8492	209	11	vectors	vector	NOUN
aiti-8492	209	12	used	use	VERB
aiti-8492	209	13	in	in	ADP
aiti-8492	209	14	euclidean	euclidean	ADJ
aiti-8492	209	15	distance	distance	NOUN
aiti-8492	209	16	2	2	NUM
aiti-8492	209	17	to	to	PART
aiti-8492	209	18	extract	extract	VERB
aiti-8492	209	19	the	the	DET
aiti-8492	209	20	intrinsic	intrinsic	ADJ
aiti-8492	209	21	relationships	relationship	NOUN
aiti-8492	209	22	between	between	ADP
aiti-8492	209	23	levels	level	NOUN
aiti-8492	209	24	in	in	ADP
aiti-8492	209	25	a	a	DET
aiti-8492	209	26	categorical	categorical	ADJ
aiti-8492	209	27	variable	variable	NOUN
aiti-8492	209	28	.	.	PUNCT
aiti-8492	210	1	conversely	conversely	ADV
aiti-8492	210	2	,	,	PUNCT
aiti-8492	210	3	by	by	ADP
aiti-8492	210	4	identifying	identify	VERB
aiti-8492	210	5	the	the	DET
aiti-8492	210	6	meaningful	meaningful	ADJ
aiti-8492	210	7	patterns	pattern	NOUN
aiti-8492	210	8	inherent	inherent	ADJ
aiti-8492	210	9	in	in	ADP
aiti-8492	210	10	categorical	categorical	ADJ
aiti-8492	210	11	data	datum	NOUN
aiti-8492	210	12	and	and	CCONJ
aiti-8492	210	13	representing	represent	VERB
aiti-8492	210	14	the	the	DET
aiti-8492	210	15	patterns	pattern	NOUN
aiti-8492	210	16	in	in	ADP
aiti-8492	210	17	the	the	DET
aiti-8492	210	18	form	form	NOUN
aiti-8492	210	19	of	of	ADP
aiti-8492	210	20	numerical	numerical	ADJ
aiti-8492	210	21	vectors	vector	NOUN
aiti-8492	210	22	,	,	PUNCT
aiti-8492	210	23	the	the	DET
aiti-8492	210	24	entity	entity	NOUN
aiti-8492	210	25	embedding	embed	VERB
aiti-8492	210	26	approach	approach	NOUN
aiti-8492	210	27	can	can	AUX
aiti-8492	210	28	enhance	enhance	VERB
aiti-8492	210	29	the	the	DET
aiti-8492	210	30	relevance	relevance	NOUN
aiti-8492	210	31	of	of	ADP
aiti-8492	210	32	delineated	delineated	ADJ
aiti-8492	210	33	submarkets	submarket	NOUN
aiti-8492	210	34	.	.	PUNCT
aiti-8492	211	1	table	table	NOUN
aiti-8492	211	2	3	3	NUM
aiti-8492	211	3	predictive	predictive	ADJ
aiti-8492	211	4	accuracy	accuracy	NOUN
aiti-8492	211	5	for	for	ADP
aiti-8492	211	6	each	each	DET
aiti-8492	211	7	submarket	submarket	NOUN
aiti-8492	211	8	constructed	construct	VERB
aiti-8492	211	9	by	by	ADP
aiti-8492	211	10	euclidean	euclidean	ADJ
aiti-8492	211	11	distance	distance	NOUN
aiti-8492	211	12	1	1	NUM
aiti-8492	211	13	,	,	PUNCT
aiti-8492	211	14	gower	gower	PROPN
aiti-8492	211	15	distance	distance	NOUN
aiti-8492	211	16	,	,	PUNCT
aiti-8492	211	17	and	and	CCONJ
aiti-8492	211	18	euclidean	euclidean	ADJ
aiti-8492	211	19	distance	distance	NOUN
aiti-8492	211	20	2	2	NUM
aiti-8492	211	21	,	,	PUNCT
aiti-8492	211	22	respectively	respectively	ADV
aiti-8492	211	23	rmse	rmse	ADJ
aiti-8492	211	24	euclidean	euclidean	ADJ
aiti-8492	211	25	distance	distance	NOUN
aiti-8492	211	26	1	1	NUM
aiti-8492	211	27	gower	gower	NOUN
aiti-8492	211	28	distance	distance	PROPN
aiti-8492	211	29	euclidean	euclidean	ADJ
aiti-8492	211	30	distance	distance	NOUN
aiti-8492	211	31	2	2	NUM
aiti-8492	211	32	submarket	submarket	NOUN
aiti-8492	211	33	1	1	NUM
aiti-8492	211	34	0.075	0.075	NUM
aiti-8492	211	35	0.074	0.074	NUM
aiti-8492	211	36	0.071	0.071	NUM
aiti-8492	211	37	submarket	submarket	NOUN
aiti-8492	211	38	2	2	NUM
aiti-8492	211	39	0.104	0.104	NUM
aiti-8492	211	40	0.088	0.088	NUM
aiti-8492	211	41	0.090	0.090	NUM
aiti-8492	211	42	submarket	submarket	NOUN
aiti-8492	211	43	3	3	NUM
aiti-8492	211	44	0.049	0.049	NUM
aiti-8492	211	45	0.097	0.097	NUM
aiti-8492	211	46	0.047	0.047	NUM
aiti-8492	211	47	submarket	submarket	NOUN
aiti-8492	211	48	4	4	NUM
aiti-8492	211	49	0.048	0.048	NUM
aiti-8492	211	50	average	average	NOUN
aiti-8492	211	51	0.076	0.076	PROPN
aiti-8492	211	52	0.077	0.077	NUM
aiti-8492	211	53	0.069	0.069	NUM
aiti-8492	211	54	4.2	4.2	NUM
aiti-8492	211	55	.	.	PUNCT
aiti-8492	212	1	interpreting	interpret	VERB
aiti-8492	212	2	the	the	DET
aiti-8492	212	3	resultant	resultant	NOUN
aiti-8492	212	4	submarkets	submarket	VERB
aiti-8492	212	5	the	the	DET
aiti-8492	212	6	average	average	ADJ
aiti-8492	212	7	rmse	rmse	NOUN
aiti-8492	212	8	for	for	ADP
aiti-8492	212	9	the	the	DET
aiti-8492	212	10	submarkets	submarket	NOUN
aiti-8492	212	11	constructed	construct	VERB
aiti-8492	212	12	by	by	ADP
aiti-8492	212	13	euclidean	euclidean	ADJ
aiti-8492	212	14	distance	distance	NOUN
aiti-8492	212	15	2	2	NUM
aiti-8492	212	16	is	be	AUX
aiti-8492	212	17	the	the	DET
aiti-8492	212	18	lowest	low	ADJ
aiti-8492	212	19	.	.	PUNCT
aiti-8492	213	1	the	the	DET
aiti-8492	213	2	submarkets	submarket	NOUN
aiti-8492	213	3	are	be	AUX
aiti-8492	213	4	illustrated	illustrate	VERB
aiti-8492	213	5	in	in	ADP
aiti-8492	213	6	fig	fig	NOUN
aiti-8492	213	7	.	.	PUNCT
aiti-8492	214	1	5	5	NUM
aiti-8492	214	2	,	,	PUNCT
aiti-8492	214	3	which	which	PRON
aiti-8492	214	4	shows	show	VERB
aiti-8492	214	5	the	the	DET
aiti-8492	214	6	subway	subway	NOUN
aiti-8492	214	7	line	line	NOUN
aiti-8492	214	8	and	and	CCONJ
aiti-8492	214	9	arterial	arterial	ADJ
aiti-8492	214	10	road	road	NOUN
aiti-8492	214	11	.	.	PUNCT
aiti-8492	215	1	the	the	DET
aiti-8492	215	2	clustering	cluster	VERB
aiti-8492	215	3	algorithm	algorithm	NOUN
aiti-8492	215	4	agglomerated	agglomerate	VERB
aiti-8492	215	5	the	the	DET
aiti-8492	215	6	individual	individual	ADJ
aiti-8492	215	7	sales	sale	NOUN
aiti-8492	215	8	lots	lot	NOUN
aiti-8492	215	9	in	in	ADP
aiti-8492	215	10	gwacheon	gwacheon	NOUN
aiti-8492	215	11	-	-	PUNCT
aiti-8492	215	12	si	si	NOUN
aiti-8492	215	13	into	into	ADP
aiti-8492	215	14	three	three	NUM
aiti-8492	215	15	submarkets	submarket	NOUN
aiti-8492	215	16	:	:	PUNCT
aiti-8492	215	17	northern	northern	ADJ
aiti-8492	215	18	,	,	PUNCT
aiti-8492	215	19	southern	southern	ADJ
aiti-8492	215	20	,	,	PUNCT
aiti-8492	215	21	and	and	CCONJ
aiti-8492	215	22	eastern	eastern	ADJ
aiti-8492	215	23	submarkets	submarket	NOUN
aiti-8492	215	24	.	.	PUNCT
aiti-8492	216	1	the	the	DET
aiti-8492	216	2	northern	northern	ADJ
aiti-8492	216	3	submarket	submarket	NOUN
aiti-8492	216	4	,	,	PUNCT
aiti-8492	216	5	which	which	PRON
aiti-8492	216	6	has	have	VERB
aiti-8492	216	7	old	old	ADJ
aiti-8492	216	8	single	single	ADJ
aiti-8492	216	9	-	-	PUNCT
aiti-8492	216	10	family	family	NOUN
aiti-8492	216	11	houses	house	NOUN
aiti-8492	216	12	,	,	PUNCT
aiti-8492	216	13	is	be	AUX
aiti-8492	216	14	a	a	DET
aiti-8492	216	15	typical	typical	ADJ
aiti-8492	216	16	residential	residential	ADJ
aiti-8492	216	17	area	area	NOUN
aiti-8492	216	18	with	with	ADP
aiti-8492	216	19	a	a	DET
aiti-8492	216	20	well	well	ADV
aiti-8492	216	21	-	-	PUNCT
aiti-8492	216	22	established	establish	VERB
aiti-8492	216	23	urban	urban	ADJ
aiti-8492	216	24	infrastructure	infrastructure	NOUN
aiti-8492	216	25	.	.	PUNCT
aiti-8492	217	1	the	the	DET
aiti-8492	217	2	southern	southern	ADJ
aiti-8492	217	3	submarket	submarket	NOUN
aiti-8492	217	4	can	can	AUX
aiti-8492	217	5	be	be	AUX
aiti-8492	217	6	characterized	characterize	VERB
aiti-8492	217	7	by	by	ADP
aiti-8492	217	8	the	the	DET
aiti-8492	217	9	landscapes	landscape	NOUN
aiti-8492	217	10	mixed	mix	VERB
aiti-8492	217	11	with	with	ADP
aiti-8492	217	12	public	public	ADJ
aiti-8492	217	13	facilities	facility	NOUN
aiti-8492	217	14	and	and	CCONJ
aiti-8492	217	15	apartments	apartment	NOUN
aiti-8492	217	16	;	;	PUNCT
aiti-8492	217	17	the	the	DET
aiti-8492	217	18	public	public	ADJ
aiti-8492	217	19	facilities	facility	NOUN
aiti-8492	217	20	include	include	VERB
aiti-8492	217	21	gwacheon	gwacheon	PROPN
aiti-8492	217	22	city	city	PROPN
aiti-8492	217	23	hall	hall	NOUN
aiti-8492	217	24	and	and	CCONJ
aiti-8492	217	25	the	the	DET
aiti-8492	217	26	old	old	ADJ
aiti-8492	217	27	central	central	ADJ
aiti-8492	217	28	government	government	NOUN
aiti-8492	217	29	complex	complex	NOUN
aiti-8492	217	30	.	.	PUNCT
aiti-8492	218	1	the	the	DET
aiti-8492	218	2	eastern	eastern	PROPN
aiti-8492	218	3	submarket	submarket	PROPN
aiti-8492	218	4	mainly	mainly	ADV
aiti-8492	218	5	comprises	comprise	VERB
aiti-8492	218	6	low	low	ADJ
aiti-8492	218	7	hills	hill	NOUN
aiti-8492	218	8	,	,	PUNCT
aiti-8492	218	9	small	small	ADJ
aiti-8492	218	10	mountains	mountain	NOUN
aiti-8492	218	11	,	,	PUNCT
aiti-8492	218	12	and	and	CCONJ
aiti-8492	218	13	sparsely	sparsely	ADV
aiti-8492	218	14	located	locate	VERB
aiti-8492	218	15	houses	house	NOUN
aiti-8492	218	16	.	.	PUNCT
aiti-8492	219	1	in	in	ADP
aiti-8492	219	2	fig	fig	NOUN
aiti-8492	219	3	.	.	PUNCT
aiti-8492	220	1	5	5	NUM
aiti-8492	220	2	,	,	PUNCT
aiti-8492	220	3	the	the	DET
aiti-8492	220	4	area	area	NOUN
aiti-8492	220	5	indicated	indicate	VERB
aiti-8492	220	6	by	by	ADP
aiti-8492	220	7	the	the	DET
aiti-8492	220	8	dotted	dotted	ADJ
aiti-8492	220	9	circle	circle	NOUN
aiti-8492	220	10	is	be	AUX
aiti-8492	220	11	classified	classify	VERB
aiti-8492	220	12	as	as	ADP
aiti-8492	220	13	belonging	belong	VERB
aiti-8492	220	14	to	to	ADP
aiti-8492	220	15	the	the	DET
aiti-8492	220	16	southern	southern	ADJ
aiti-8492	220	17	submarket	submarket	NOUN
aiti-8492	220	18	by	by	ADP
aiti-8492	220	19	euclidean	euclidean	ADJ
aiti-8492	220	20	distance	distance	NOUN
aiti-8492	220	21	1	1	NUM
aiti-8492	220	22	,	,	PUNCT
aiti-8492	220	23	but	but	CCONJ
aiti-8492	220	24	is	be	AUX
aiti-8492	220	25	reclassified	reclassify	VERB
aiti-8492	220	26	as	as	ADP
aiti-8492	220	27	belonging	belong	VERB
aiti-8492	220	28	to	to	ADP
aiti-8492	220	29	the	the	DET
aiti-8492	220	30	northern	northern	ADJ
aiti-8492	220	31	submarket	submarket	NOUN
aiti-8492	220	32	when	when	SCONJ
aiti-8492	220	33	euclidean	euclidean	ADJ
aiti-8492	220	34	distance	distance	NOUN
aiti-8492	220	35	2	2	NUM
aiti-8492	220	36	is	be	AUX
aiti-8492	220	37	applied	apply	VERB
aiti-8492	220	38	.	.	PUNCT
aiti-8492	221	1	it	it	PRON
aiti-8492	221	2	is	be	AUX
aiti-8492	221	3	the	the	DET
aiti-8492	221	4	area	area	NOUN
aiti-8492	221	5	located	locate	VERB
aiti-8492	221	6	close	close	ADV
aiti-8492	221	7	to	to	ADP
aiti-8492	221	8	the	the	DET
aiti-8492	221	9	subway	subway	NOUN
aiti-8492	221	10	line	line	NOUN
aiti-8492	221	11	and	and	CCONJ
aiti-8492	221	12	appears	appear	VERB
aiti-8492	221	13	to	to	PART
aiti-8492	221	14	be	be	AUX
aiti-8492	221	15	difficult	difficult	ADJ
aiti-8492	221	16	to	to	PART
aiti-8492	221	17	delineate	delineate	VERB
aiti-8492	221	18	in	in	ADP
aiti-8492	221	19	a	a	DET
aiti-8492	221	20	confident	confident	ADJ
aiti-8492	221	21	manner	manner	NOUN
aiti-8492	221	22	.	.	PUNCT
aiti-8492	222	1	consultations	consultation	NOUN
aiti-8492	222	2	from	from	ADP
aiti-8492	222	3	the	the	DET
aiti-8492	222	4	local	local	ADJ
aiti-8492	222	5	experts	expert	NOUN
aiti-8492	222	6	,	,	PUNCT
aiti-8492	222	7	such	such	ADJ
aiti-8492	222	8	as	as	ADP
aiti-8492	222	9	real	real	ADJ
aiti-8492	222	10	37	37	NUM
aiti-8492	222	11	advances	advance	NOUN
aiti-8492	222	12	in	in	ADP
aiti-8492	222	13	technology	technology	NOUN
aiti-8492	222	14	innovation	innovation	NOUN
aiti-8492	222	15	,	,	PUNCT
aiti-8492	222	16	vol	vol	NOUN
aiti-8492	222	17	.	.	PROPN
aiti-8492	222	18	7	7	NUM
aiti-8492	222	19	,	,	PUNCT
aiti-8492	222	20	no	no	INTJ
aiti-8492	222	21	.	.	NOUN
aiti-8492	222	22	1	1	NUM
aiti-8492	222	23	,	,	PUNCT
aiti-8492	222	24	2022	2022	NUM
aiti-8492	222	25	,	,	PUNCT
aiti-8492	222	26	pp	pp	ADJ
aiti-8492	222	27	.	.	PUNCT
aiti-8492	222	28	30	30	NUM
aiti-8492	222	29	-	-	SYM
aiti-8492	222	30	40	40	NUM
aiti-8492	222	31	estate	estate	NOUN
aiti-8492	222	32	brokers	broker	NOUN
aiti-8492	222	33	and	and	CCONJ
aiti-8492	222	34	property	property	NOUN
aiti-8492	222	35	appraisers	appraiser	NOUN
aiti-8492	222	36	,	,	PUNCT
aiti-8492	222	37	also	also	ADV
aiti-8492	222	38	confirm	confirm	VERB
aiti-8492	222	39	the	the	DET
aiti-8492	222	40	ambiguity	ambiguity	NOUN
aiti-8492	222	41	of	of	ADP
aiti-8492	222	42	the	the	DET
aiti-8492	222	43	submarket	submarket	PROPN
aiti-8492	222	44	membership	membership	NOUN
aiti-8492	222	45	of	of	ADP
aiti-8492	222	46	this	this	DET
aiti-8492	222	47	area	area	NOUN
aiti-8492	222	48	.	.	PUNCT
aiti-8492	223	1	some	some	DET
aiti-8492	223	2	experts	expert	NOUN
aiti-8492	223	3	classify	classify	VERB
aiti-8492	223	4	the	the	DET
aiti-8492	223	5	dotted	dotted	ADJ
aiti-8492	223	6	area	area	NOUN
aiti-8492	223	7	as	as	ADP
aiti-8492	223	8	belonging	belong	VERB
aiti-8492	223	9	to	to	ADP
aiti-8492	223	10	the	the	DET
aiti-8492	223	11	northern	northern	ADJ
aiti-8492	223	12	submarket	submarket	NOUN
aiti-8492	223	13	in	in	ADP
aiti-8492	223	14	gwacheon	gwacheon	NOUN
aiti-8492	223	15	-	-	PUNCT
aiti-8492	223	16	si	si	INTJ
aiti-8492	223	17	,	,	PUNCT
aiti-8492	223	18	while	while	SCONJ
aiti-8492	223	19	others	other	NOUN
aiti-8492	223	20	consider	consider	VERB
aiti-8492	223	21	that	that	SCONJ
aiti-8492	223	22	the	the	DET
aiti-8492	223	23	area	area	NOUN
aiti-8492	223	24	should	should	AUX
aiti-8492	223	25	belong	belong	VERB
aiti-8492	223	26	to	to	ADP
aiti-8492	223	27	the	the	DET
aiti-8492	223	28	southern	southern	ADJ
aiti-8492	223	29	submarket	submarket	NOUN
aiti-8492	223	30	.	.	PUNCT
aiti-8492	224	1	although	although	SCONJ
aiti-8492	224	2	the	the	DET
aiti-8492	224	3	topic	topic	NOUN
aiti-8492	224	4	of	of	ADP
aiti-8492	224	5	the	the	DET
aiti-8492	224	6	submarket	submarket	PROPN
aiti-8492	224	7	membership	membership	NOUN
aiti-8492	224	8	of	of	ADP
aiti-8492	224	9	the	the	DET
aiti-8492	224	10	area	area	NOUN
aiti-8492	224	11	is	be	AUX
aiti-8492	224	12	controversial	controversial	ADJ
aiti-8492	224	13	even	even	ADV
aiti-8492	224	14	among	among	ADP
aiti-8492	224	15	domain	domain	NOUN
aiti-8492	224	16	experts	expert	NOUN
aiti-8492	224	17	,	,	PUNCT
aiti-8492	224	18	the	the	DET
aiti-8492	224	19	data	data	NOUN
aiti-8492	224	20	-	-	PUNCT
aiti-8492	224	21	driven	drive	VERB
aiti-8492	224	22	clustering	clustering	NOUN
aiti-8492	224	23	by	by	ADP
aiti-8492	224	24	euclidean	euclidean	ADJ
aiti-8492	224	25	distance	distance	NOUN
aiti-8492	224	26	2	2	NUM
aiti-8492	224	27	labels	label	NOUN
aiti-8492	224	28	the	the	DET
aiti-8492	224	29	area	area	NOUN
aiti-8492	224	30	as	as	ADP
aiti-8492	224	31	belonging	belong	VERB
aiti-8492	224	32	to	to	ADP
aiti-8492	224	33	the	the	DET
aiti-8492	224	34	northern	northern	ADJ
aiti-8492	224	35	submarket	submarket	NOUN
aiti-8492	224	36	in	in	ADP
aiti-8492	224	37	gwacheon	gwacheon	NOUN
aiti-8492	224	38	-	-	PUNCT
aiti-8492	224	39	si	si	NOUN
aiti-8492	224	40	,	,	PUNCT
aiti-8492	224	41	and	and	CCONJ
aiti-8492	224	42	the	the	DET
aiti-8492	224	43	validity	validity	NOUN
aiti-8492	224	44	is	be	AUX
aiti-8492	224	45	proved	prove	VERB
aiti-8492	224	46	by	by	ADP
aiti-8492	224	47	the	the	DET
aiti-8492	224	48	lowest	low	ADJ
aiti-8492	224	49	rmse	rmse	NOUN
aiti-8492	224	50	obtained	obtain	VERB
aiti-8492	224	51	from	from	ADP
aiti-8492	224	52	a	a	DET
aiti-8492	224	53	hedonic	hedonic	ADJ
aiti-8492	224	54	pricing	pricing	NOUN
aiti-8492	224	55	model	model	NOUN
aiti-8492	224	56	.	.	PUNCT
aiti-8492	225	1	fig	fig	NOUN
aiti-8492	225	2	.	.	PUNCT
aiti-8492	226	1	5	5	NUM
aiti-8492	226	2	submarkets	submarket	NOUN
aiti-8492	226	3	constructed	construct	VERB
aiti-8492	226	4	by	by	ADP
aiti-8492	226	5	euclidean	euclidean	ADJ
aiti-8492	226	6	distance	distance	NOUN
aiti-8492	226	7	2	2	NUM
aiti-8492	226	8	5	5	NUM
aiti-8492	226	9	.	.	PUNCT
aiti-8492	226	10	conclusions	conclusion	NOUN
aiti-8492	226	11	a	a	DET
aiti-8492	226	12	clustering	clustering	ADJ
aiti-8492	226	13	algorithm	algorithm	NOUN
aiti-8492	226	14	becomes	become	VERB
aiti-8492	226	15	inefficient	inefficient	ADJ
aiti-8492	226	16	or	or	CCONJ
aiti-8492	226	17	unstable	unstable	ADJ
aiti-8492	226	18	when	when	SCONJ
aiti-8492	226	19	categorical	categorical	ADJ
aiti-8492	226	20	variables	variable	NOUN
aiti-8492	226	21	are	be	AUX
aiti-8492	226	22	dominant	dominant	ADJ
aiti-8492	226	23	in	in	ADP
aiti-8492	226	24	the	the	DET
aiti-8492	226	25	input	input	NOUN
aiti-8492	226	26	dataset	dataset	NOUN
aiti-8492	226	27	,	,	PUNCT
aiti-8492	226	28	and	and	CCONJ
aiti-8492	226	29	the	the	DET
aiti-8492	226	30	situation	situation	NOUN
aiti-8492	226	31	worsens	worsen	VERB
aiti-8492	226	32	in	in	ADP
aiti-8492	226	33	the	the	DET
aiti-8492	226	34	case	case	NOUN
aiti-8492	226	35	of	of	ADP
aiti-8492	226	36	high	high	ADJ
aiti-8492	226	37	-	-	PUNCT
aiti-8492	226	38	cardinality	cardinality	NOUN
aiti-8492	226	39	categorical	categorical	ADJ
aiti-8492	226	40	variables	variable	NOUN
aiti-8492	226	41	.	.	PUNCT
aiti-8492	227	1	this	this	DET
aiti-8492	227	2	study	study	NOUN
aiti-8492	227	3	attempted	attempt	VERB
aiti-8492	227	4	to	to	PART
aiti-8492	227	5	enhance	enhance	VERB
aiti-8492	227	6	the	the	DET
aiti-8492	227	7	performance	performance	NOUN
aiti-8492	227	8	of	of	ADP
aiti-8492	227	9	a	a	DET
aiti-8492	227	10	clustering	cluster	VERB
aiti-8492	227	11	algorithm	algorithm	NOUN
aiti-8492	227	12	by	by	ADP
aiti-8492	227	13	employing	employ	VERB
aiti-8492	227	14	an	an	DET
aiti-8492	227	15	entity	entity	NOUN
aiti-8492	227	16	embedding	embed	VERB
aiti-8492	227	17	approach	approach	NOUN
aiti-8492	227	18	to	to	ADP
aiti-8492	227	19	high	high	ADJ
aiti-8492	227	20	-	-	PUNCT
aiti-8492	227	21	cardinality	cardinality	NOUN
aiti-8492	227	22	variables	variable	NOUN
aiti-8492	227	23	.	.	PUNCT
aiti-8492	228	1	gwacheon	gwacheon	NOUN
aiti-8492	228	2	-	-	PUNCT
aiti-8492	228	3	si	si	PROPN
aiti-8492	228	4	was	be	AUX
aiti-8492	228	5	chosen	choose	VERB
aiti-8492	228	6	for	for	ADP
aiti-8492	228	7	the	the	DET
aiti-8492	228	8	analysis	analysis	NOUN
aiti-8492	228	9	,	,	PUNCT
aiti-8492	228	10	and	and	CCONJ
aiti-8492	228	11	a	a	DET
aiti-8492	228	12	clustering	clustering	ADJ
aiti-8492	228	13	algorithm	algorithm	NOUN
aiti-8492	228	14	was	be	AUX
aiti-8492	228	15	applied	apply	VERB
aiti-8492	228	16	to	to	ADP
aiti-8492	228	17	the	the	DET
aiti-8492	228	18	sales	sale	NOUN
aiti-8492	228	19	records	record	NOUN
aiti-8492	228	20	of	of	ADP
aiti-8492	228	21	lots	lot	NOUN
aiti-8492	228	22	to	to	PART
aiti-8492	228	23	delineate	delineate	VERB
aiti-8492	228	24	the	the	DET
aiti-8492	228	25	real	real	ADJ
aiti-8492	228	26	estate	estate	NOUN
aiti-8492	228	27	market	market	NOUN
aiti-8492	228	28	.	.	PUNCT
aiti-8492	229	1	embedding	embed	VERB
aiti-8492	229	2	vectors	vector	NOUN
aiti-8492	229	3	for	for	ADP
aiti-8492	229	4	the	the	DET
aiti-8492	229	5	zip	zip	NOUN
aiti-8492	229	6	code	code	NOUN
aiti-8492	229	7	and	and	CCONJ
aiti-8492	229	8	zone	zone	NOUN
aiti-8492	229	9	were	be	AUX
aiti-8492	229	10	learned	learn	VERB
aiti-8492	229	11	from	from	ADP
aiti-8492	229	12	neural	neural	ADJ
aiti-8492	229	13	network	network	NOUN
aiti-8492	229	14	training	training	NOUN
aiti-8492	229	15	and	and	CCONJ
aiti-8492	229	16	subsequently	subsequently	ADV
aiti-8492	229	17	applied	apply	VERB
aiti-8492	229	18	to	to	ADP
aiti-8492	229	19	the	the	DET
aiti-8492	229	20	clustering	clustering	ADJ
aiti-8492	229	21	algorithm	algorithm	NOUN
aiti-8492	229	22	.	.	PUNCT
aiti-8492	230	1	the	the	DET
aiti-8492	230	2	results	result	NOUN
aiti-8492	230	3	showed	show	VERB
aiti-8492	230	4	that	that	SCONJ
aiti-8492	230	5	the	the	DET
aiti-8492	230	6	submarket	submarket	PROPN
aiti-8492	230	7	delineation	delineation	NOUN
aiti-8492	230	8	created	create	VERB
aiti-8492	230	9	by	by	ADP
aiti-8492	230	10	the	the	DET
aiti-8492	230	11	euclidean	euclidean	ADJ
aiti-8492	230	12	distance	distance	NOUN
aiti-8492	230	13	-	-	PUNCT
aiti-8492	230	14	based	base	VERB
aiti-8492	230	15	clustering	clustering	ADJ
aiti-8492	230	16	algorithm	algorithm	NOUN
aiti-8492	230	17	equipped	equip	VERB
aiti-8492	230	18	with	with	ADP
aiti-8492	230	19	embedding	embed	VERB
aiti-8492	230	20	vectors	vector	NOUN
aiti-8492	230	21	outperformed	outperform	VERB
aiti-8492	230	22	the	the	DET
aiti-8492	230	23	ones	one	NOUN
aiti-8492	230	24	achieved	achieve	VERB
aiti-8492	230	25	by	by	ADP
aiti-8492	230	26	baseline	baseline	NOUN
aiti-8492	230	27	models	model	NOUN
aiti-8492	230	28	,	,	PUNCT
aiti-8492	230	29	such	such	ADJ
aiti-8492	230	30	as	as	ADP
aiti-8492	230	31	the	the	DET
aiti-8492	230	32	ordinary	ordinary	ADJ
aiti-8492	230	33	euclidean	euclidean	ADJ
aiti-8492	230	34	distance	distance	NOUN
aiti-8492	230	35	-	-	PUNCT
aiti-8492	230	36	based	base	VERB
aiti-8492	230	37	algorithm	algorithm	NOUN
aiti-8492	230	38	and	and	CCONJ
aiti-8492	230	39	the	the	DET
aiti-8492	230	40	gower	gower	PROPN
aiti-8492	230	41	distance	distance	NOUN
aiti-8492	230	42	-	-	PUNCT
aiti-8492	230	43	based	base	VERB
aiti-8492	230	44	algorithm	algorithm	NOUN
aiti-8492	230	45	.	.	PUNCT
aiti-8492	231	1	this	this	DET
aiti-8492	231	2	study	study	NOUN
aiti-8492	231	3	offered	offer	VERB
aiti-8492	231	4	an	an	DET
aiti-8492	231	5	efficient	efficient	ADJ
aiti-8492	231	6	alternative	alternative	NOUN
aiti-8492	231	7	to	to	PART
aiti-8492	231	8	handle	handle	VERB
aiti-8492	231	9	these	these	DET
aiti-8492	231	10	categorical	categorical	ADJ
aiti-8492	231	11	variables	variable	NOUN
aiti-8492	231	12	when	when	SCONJ
aiti-8492	231	13	applying	apply	VERB
aiti-8492	231	14	clustering	clustering	ADJ
aiti-8492	231	15	algorithms	algorithm	NOUN
aiti-8492	231	16	:	:	PUNCT
aiti-8492	231	17	the	the	DET
aiti-8492	231	18	clustering	cluster	VERB
aiti-8492	231	19	analysis	analysis	NOUN
aiti-8492	231	20	results	result	NOUN
aiti-8492	231	21	can	can	AUX
aiti-8492	231	22	be	be	AUX
aiti-8492	231	23	improved	improve	VERB
aiti-8492	231	24	by	by	ADP
aiti-8492	231	25	using	use	VERB
aiti-8492	231	26	embedding	embed	VERB
aiti-8492	231	27	vectors	vector	NOUN
aiti-8492	231	28	learned	learn	VERB
aiti-8492	231	29	from	from	ADP
aiti-8492	231	30	neural	neural	ADJ
aiti-8492	231	31	network	network	NOUN
aiti-8492	231	32	training	training	NOUN
aiti-8492	231	33	,	,	PUNCT
aiti-8492	231	34	which	which	PRON
aiti-8492	231	35	has	have	AUX
aiti-8492	231	36	been	be	AUX
aiti-8492	231	37	utilized	utilize	VERB
aiti-8492	231	38	universally	universally	ADV
aiti-8492	231	39	in	in	ADP
aiti-8492	231	40	machine	machine	NOUN
aiti-8492	231	41	learning	learning	NOUN
aiti-8492	231	42	applications	application	NOUN
aiti-8492	231	43	that	that	PRON
aiti-8492	231	44	handle	handle	VERB
aiti-8492	231	45	unstructured	unstructured	ADJ
aiti-8492	231	46	data	datum	NOUN
aiti-8492	231	47	.	.	PUNCT
aiti-8492	232	1	this	this	DET
aiti-8492	232	2	study	study	NOUN
aiti-8492	232	3	might	might	AUX
aiti-8492	232	4	promote	promote	VERB
aiti-8492	232	5	the	the	DET
aiti-8492	232	6	rapid	rapid	ADJ
aiti-8492	232	7	adoption	adoption	NOUN
aiti-8492	232	8	of	of	ADP
aiti-8492	232	9	machine	machine	NOUN
aiti-8492	232	10	-	-	PUNCT
aiti-8492	232	11	learning	learn	VERB
aiti-8492	232	12	tools	tool	NOUN
aiti-8492	232	13	in	in	ADP
aiti-8492	232	14	the	the	DET
aiti-8492	232	15	field	field	NOUN
aiti-8492	232	16	of	of	ADP
aiti-8492	232	17	structured	structured	ADJ
aiti-8492	232	18	data	datum	NOUN
aiti-8492	232	19	.	.	PUNCT
aiti-8492	233	1	the	the	DET
aiti-8492	233	2	dataset	dataset	NOUN
aiti-8492	233	3	used	use	VERB
aiti-8492	233	4	in	in	ADP
aiti-8492	233	5	the	the	DET
aiti-8492	233	6	study	study	NOUN
aiti-8492	233	7	comprised	comprise	VERB
aiti-8492	233	8	1,111	1,111	NUM
aiti-8492	233	9	lots	lot	NOUN
aiti-8492	233	10	,	,	PUNCT
aiti-8492	233	11	but	but	CCONJ
aiti-8492	233	12	the	the	DET
aiti-8492	233	13	data	data	NOUN
aiti-8492	233	14	size	size	NOUN
aiti-8492	233	15	may	may	AUX
aiti-8492	233	16	be	be	AUX
aiti-8492	233	17	insufficient	insufficient	ADJ
aiti-8492	233	18	to	to	PART
aiti-8492	233	19	draw	draw	VERB
aiti-8492	233	20	a	a	DET
aiti-8492	233	21	generalizable	generalizable	ADJ
aiti-8492	233	22	conclusion	conclusion	NOUN
aiti-8492	233	23	.	.	PUNCT
aiti-8492	234	1	different	different	ADJ
aiti-8492	234	2	results	result	NOUN
aiti-8492	234	3	would	would	AUX
aiti-8492	234	4	possibly	possibly	ADV
aiti-8492	234	5	be	be	AUX
aiti-8492	234	6	observed	observe	VERB
aiti-8492	234	7	if	if	SCONJ
aiti-8492	234	8	the	the	DET
aiti-8492	234	9	proposed	propose	VERB
aiti-8492	234	10	approach	approach	NOUN
aiti-8492	234	11	was	be	AUX
aiti-8492	234	12	applied	apply	VERB
aiti-8492	234	13	to	to	ADP
aiti-8492	234	14	different	different	ADJ
aiti-8492	234	15	datasets	dataset	NOUN
aiti-8492	234	16	or	or	CCONJ
aiti-8492	234	17	different	different	ADJ
aiti-8492	234	18	local	local	ADJ
aiti-8492	234	19	areas	area	NOUN
aiti-8492	234	20	.	.	PUNCT
aiti-8492	235	1	empirical	empirical	ADJ
aiti-8492	235	2	experiments	experiment	NOUN
aiti-8492	235	3	at	at	ADP
aiti-8492	235	4	a	a	DET
aiti-8492	235	5	more	more	ADV
aiti-8492	235	6	extensive	extensive	ADJ
aiti-8492	235	7	scale	scale	NOUN
aiti-8492	235	8	need	need	NOUN
aiti-8492	235	9	to	to	PART
aiti-8492	235	10	be	be	AUX
aiti-8492	235	11	attempted	attempt	VERB
aiti-8492	235	12	in	in	ADP
aiti-8492	235	13	future	future	ADJ
aiti-8492	235	14	studies	study	NOUN
aiti-8492	235	15	.	.	PUNCT
aiti-8492	236	1	conflicts	conflict	NOUN
aiti-8492	236	2	of	of	ADP
aiti-8492	236	3	interest	interest	NOUN
aiti-8492	236	4	the	the	DET
aiti-8492	236	5	author	author	NOUN
aiti-8492	236	6	declares	declare	VERB
aiti-8492	236	7	no	no	DET
aiti-8492	236	8	conflict	conflict	NOUN
aiti-8492	236	9	of	of	ADP
aiti-8492	236	10	interest	interest	NOUN
aiti-8492	236	11	.	.	PUNCT
aiti-8492	237	1	references	reference	NOUN
aiti-8492	237	2	[	[	X
aiti-8492	237	3	1	1	X
aiti-8492	237	4	]	]	PUNCT
aiti-8492	237	5	v.	v.	CCONJ
aiti-8492	237	6	goyal	goyal	PROPN
aiti-8492	237	7	,	,	PUNCT
aiti-8492	237	8	g.	g.	PROPN
aiti-8492	237	9	singh	singh	PROPN
aiti-8492	237	10	,	,	PUNCT
aiti-8492	237	11	o.	o.	PROPN
aiti-8492	237	12	tiwari	tiwari	PROPN
aiti-8492	237	13	,	,	PUNCT
aiti-8492	237	14	s.	s.	PROPN
aiti-8492	237	15	punia	punia	PROPN
aiti-8492	237	16	,	,	PUNCT
aiti-8492	237	17	and	and	CCONJ
aiti-8492	237	18	m.	m.	PROPN
aiti-8492	237	19	kumar	kumar	PROPN
aiti-8492	237	20	,	,	PUNCT
aiti-8492	237	21	“	"	PUNCT
aiti-8492	237	22	intelligent	intelligent	ADJ
aiti-8492	237	23	skin	skin	NOUN
aiti-8492	237	24	cancer	cancer	NOUN
aiti-8492	237	25	detection	detection	NOUN
aiti-8492	237	26	mobile	mobile	NOUN
aiti-8492	237	27	application	application	NOUN
aiti-8492	237	28	using	use	VERB
aiti-8492	237	29	convolution	convolution	NOUN
aiti-8492	237	30	neural	neural	ADJ
aiti-8492	237	31	network	network	NOUN
aiti-8492	237	32	,	,	PUNCT
aiti-8492	237	33	”	"	PUNCT
aiti-8492	237	34	journal	journal	NOUN
aiti-8492	237	35	of	of	ADP
aiti-8492	237	36	advanced	advanced	ADJ
aiti-8492	237	37	research	research	NOUN
aiti-8492	237	38	in	in	ADP
aiti-8492	237	39	dynamical	dynamical	ADJ
aiti-8492	237	40	and	and	CCONJ
aiti-8492	237	41	control	control	NOUN
aiti-8492	237	42	systems	system	NOUN
aiti-8492	237	43	,	,	PUNCT
aiti-8492	237	44	vol	vol	NOUN
aiti-8492	237	45	.	.	PROPN
aiti-8492	237	46	11	11	NUM
aiti-8492	237	47	,	,	PUNCT
aiti-8492	237	48	no	no	INTJ
aiti-8492	237	49	.	.	NOUN
aiti-8492	237	50	7	7	NUM
aiti-8492	237	51	,	,	PUNCT
aiti-8492	237	52	pp	pp	ADJ
aiti-8492	237	53	.	.	PUNCT
aiti-8492	238	1	253	253	NUM
aiti-8492	238	2	-	-	SYM
aiti-8492	238	3	259	259	NUM
aiti-8492	238	4	,	,	PUNCT
aiti-8492	238	5	2019	2019	NUM
aiti-8492	238	6	.	.	PUNCT
aiti-8492	239	1	38	38	NUM
aiti-8492	239	2	advances	advance	NOUN
aiti-8492	239	3	in	in	ADP
aiti-8492	239	4	technology	technology	NOUN
aiti-8492	239	5	innovation	innovation	NOUN
aiti-8492	239	6	,	,	PUNCT
aiti-8492	239	7	vol	vol	NOUN
aiti-8492	239	8	.	.	PROPN
aiti-8492	239	9	7	7	NUM
aiti-8492	239	10	,	,	PUNCT
aiti-8492	239	11	no	no	INTJ
aiti-8492	239	12	.	.	NOUN
aiti-8492	239	13	1	1	NUM
aiti-8492	239	14	,	,	PUNCT
aiti-8492	239	15	2022	2022	NUM
aiti-8492	239	16	,	,	PUNCT
aiti-8492	239	17	pp	pp	ADJ
aiti-8492	239	18	.	.	PUNCT
aiti-8492	240	1	30	30	NUM
aiti-8492	240	2	-	-	SYM
aiti-8492	240	3	40	40	NUM
aiti-8492	241	1	[	[	X
aiti-8492	241	2	2	2	NUM
aiti-8492	241	3	]	]	PUNCT
aiti-8492	241	4	a.	a.	NOUN
aiti-8492	241	5	aggarwal	aggarwal	PROPN
aiti-8492	241	6	,	,	PUNCT
aiti-8492	241	7	m.	m.	NOUN
aiti-8492	241	8	alshehri	alshehri	PROPN
aiti-8492	241	9	,	,	PUNCT
aiti-8492	241	10	m.	m.	PROPN
aiti-8492	241	11	kumar	kumar	PROPN
aiti-8492	241	12	,	,	PUNCT
aiti-8492	241	13	p.	p.	PROPN
aiti-8492	241	14	sharma	sharma	PROPN
aiti-8492	241	15	,	,	PUNCT
aiti-8492	241	16	o.	o.	PROPN
aiti-8492	241	17	alfarraj	alfarraj	VERB
aiti-8492	241	18	,	,	PUNCT
aiti-8492	241	19	and	and	CCONJ
aiti-8492	241	20	v.	v.	ADP
aiti-8492	241	21	deep	deep	ADJ
aiti-8492	241	22	,	,	PUNCT
aiti-8492	241	23	“	"	PUNCT
aiti-8492	241	24	principal	principal	ADJ
aiti-8492	241	25	component	component	NOUN
aiti-8492	241	26	analysis	analysis	NOUN
aiti-8492	241	27	,	,	PUNCT
aiti-8492	241	28	hidden	hide	VERB
aiti-8492	241	29	markov	markov	NOUN
aiti-8492	241	30	model	model	NOUN
aiti-8492	241	31	,	,	PUNCT
aiti-8492	241	32	and	and	CCONJ
aiti-8492	241	33	artificial	artificial	ADJ
aiti-8492	241	34	neural	neural	ADJ
aiti-8492	241	35	network	network	NOUN
aiti-8492	241	36	inspired	inspire	VERB
aiti-8492	241	37	techniques	technique	NOUN
aiti-8492	241	38	to	to	PART
aiti-8492	241	39	recognize	recognize	VERB
aiti-8492	241	40	faces	face	NOUN
aiti-8492	241	41	,	,	PUNCT
aiti-8492	241	42	”	"	PUNCT
aiti-8492	241	43	concurrency	concurrency	NOUN
aiti-8492	241	44	and	and	CCONJ
aiti-8492	241	45	computation	computation	NOUN
aiti-8492	241	46	:	:	PUNCT
aiti-8492	241	47	practice	practice	NOUN
aiti-8492	241	48	and	and	CCONJ
aiti-8492	241	49	experience	experience	NOUN
aiti-8492	241	50	,	,	PUNCT
aiti-8492	241	51	vol	vol	NOUN
aiti-8492	241	52	.	.	PROPN
aiti-8492	242	1	33	33	NUM
aiti-8492	242	2	,	,	PUNCT
aiti-8492	242	3	no	no	INTJ
aiti-8492	242	4	.	.	NOUN
aiti-8492	242	5	9	9	NUM
aiti-8492	242	6	,	,	PUNCT
aiti-8492	242	7	e6157	e6157	NOUN
aiti-8492	242	8	,	,	PUNCT
aiti-8492	242	9	may	may	AUX
aiti-8492	242	10	2021	2021	NUM
aiti-8492	242	11	.	.	PUNCT
aiti-8492	243	1	[	[	X
aiti-8492	243	2	3	3	NUM
aiti-8492	243	3	]	]	X
aiti-8492	243	4	m.	m.	NOUN
aiti-8492	243	5	alshehri	alshehri	PROPN
aiti-8492	243	6	,	,	PUNCT
aiti-8492	243	7	m.	m.	PROPN
aiti-8492	243	8	kumar	kumar	PROPN
aiti-8492	243	9	,	,	PUNCT
aiti-8492	243	10	a.	a.	PROPN
aiti-8492	243	11	bhardwaj	bhardwaj	PROPN
aiti-8492	243	12	,	,	PUNCT
aiti-8492	243	13	s.	s.	PROPN
aiti-8492	243	14	mishra	mishra	PROPN
aiti-8492	243	15	,	,	PUNCT
aiti-8492	243	16	and	and	CCONJ
aiti-8492	243	17	j.	j.	PROPN
aiti-8492	243	18	gyani	gyani	PROPN
aiti-8492	243	19	,	,	PUNCT
aiti-8492	243	20	“	"	PUNCT
aiti-8492	243	21	deep	deep	ADJ
aiti-8492	243	22	learning	learning	NOUN
aiti-8492	243	23	based	base	VERB
aiti-8492	243	24	approach	approach	NOUN
aiti-8492	243	25	to	to	PART
aiti-8492	243	26	classify	classify	VERB
aiti-8492	243	27	saline	saline	ADJ
aiti-8492	243	28	particles	particle	NOUN
aiti-8492	243	29	in	in	ADP
aiti-8492	243	30	sea	sea	NOUN
aiti-8492	243	31	water	water	NOUN
aiti-8492	243	32	,	,	PUNCT
aiti-8492	243	33	”	"	PUNCT
aiti-8492	243	34	water	water	NOUN
aiti-8492	243	35	,	,	PUNCT
aiti-8492	243	36	vol	vol	NOUN
aiti-8492	243	37	.	.	PROPN
aiti-8492	243	38	13	13	NUM
aiti-8492	243	39	,	,	PUNCT
aiti-8492	243	40	no	no	INTJ
aiti-8492	243	41	.	.	NOUN
aiti-8492	243	42	9	9	NUM
aiti-8492	243	43	,	,	PUNCT
aiti-8492	243	44	1251	1251	NUM
aiti-8492	243	45	,	,	PUNCT
aiti-8492	243	46	2021	2021	NUM
aiti-8492	243	47	.	.	PUNCT
aiti-8492	244	1	[	[	X
aiti-8492	244	2	4	4	NUM
aiti-8492	244	3	]	]	PUNCT
aiti-8492	244	4	a.	a.	NOUN
aiti-8492	244	5	aggarwal	aggarwal	PROPN
aiti-8492	244	6	,	,	PUNCT
aiti-8492	244	7	a.	a.	NOUN
aiti-8492	244	8	rani	rani	PROPN
aiti-8492	244	9	,	,	PUNCT
aiti-8492	244	10	p.	p.	PROPN
aiti-8492	244	11	sharma	sharma	PROPN
aiti-8492	244	12	,	,	PUNCT
aiti-8492	244	13	m.	m.	NOUN
aiti-8492	244	14	kumar	kumar	PROPN
aiti-8492	244	15	,	,	PUNCT
aiti-8492	244	16	a.	a.	PROPN
aiti-8492	244	17	shankar	shankar	PROPN
aiti-8492	244	18	,	,	PUNCT
aiti-8492	244	19	and	and	CCONJ
aiti-8492	244	20	m.	m.	NOUN
aiti-8492	244	21	alazab	alazab	PROPN
aiti-8492	244	22	,	,	PUNCT
aiti-8492	244	23	“	"	PUNCT
aiti-8492	244	24	prediction	prediction	NOUN
aiti-8492	244	25	of	of	ADP
aiti-8492	244	26	landsliding	landslide	VERB
aiti-8492	244	27	using	use	VERB
aiti-8492	244	28	univariate	univariate	ADJ
aiti-8492	244	29	forecasting	forecasting	NOUN
aiti-8492	244	30	models	model	NOUN
aiti-8492	244	31	,	,	PUNCT
aiti-8492	244	32	”	"	PUNCT
aiti-8492	244	33	internet	internet	NOUN
aiti-8492	244	34	technology	technology	NOUN
aiti-8492	244	35	letters	letter	NOUN
aiti-8492	244	36	,	,	PUNCT
aiti-8492	244	37	in	in	ADP
aiti-8492	244	38	press	press	NOUN
aiti-8492	244	39	.	.	PUNCT
aiti-8492	245	1	[	[	X
aiti-8492	245	2	5	5	NUM
aiti-8492	245	3	]	]	X
aiti-8492	245	4	i.	i.	PROPN
aiti-8492	245	5	h.	h.	PROPN
aiti-8492	245	6	witten	witten	PROPN
aiti-8492	245	7	and	and	CCONJ
aiti-8492	245	8	e.	e.	PROPN
aiti-8492	245	9	frank	frank	PROPN
aiti-8492	245	10	,	,	PUNCT
aiti-8492	245	11	data	datum	NOUN
aiti-8492	245	12	mining	mining	NOUN
aiti-8492	245	13	:	:	PUNCT
aiti-8492	245	14	practical	practical	ADJ
aiti-8492	245	15	machine	machine	NOUN
aiti-8492	245	16	learning	learning	NOUN
aiti-8492	245	17	tools	tool	NOUN
aiti-8492	245	18	and	and	CCONJ
aiti-8492	245	19	techniques	technique	NOUN
aiti-8492	245	20	,	,	PUNCT
aiti-8492	245	21	cambridge	cambridge	PROPN
aiti-8492	245	22	:	:	PUNCT
aiti-8492	245	23	morgan	morgan	PROPN
aiti-8492	245	24	kaufmann	kaufmann	PROPN
aiti-8492	245	25	,	,	PUNCT
aiti-8492	245	26	2016	2016	NUM
aiti-8492	245	27	.	.	PUNCT
aiti-8492	246	1	[	[	X
aiti-8492	246	2	6	6	NUM
aiti-8492	246	3	]	]	PUNCT
aiti-8492	246	4	a.	a.	NOUN
aiti-8492	246	5	c.	c.	PROPN
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aiti-8492	246	7	and	and	CCONJ
aiti-8492	246	8	t.	t.	PROPN
aiti-8492	246	9	g.	g.	PROPN
aiti-8492	246	10	thibodeau	thibodeau	PROPN
aiti-8492	246	11	,	,	PUNCT
aiti-8492	246	12	“	"	PUNCT
aiti-8492	246	13	housing	housing	NOUN
aiti-8492	246	14	market	market	NOUN
aiti-8492	246	15	segmentation	segmentation	NOUN
aiti-8492	246	16	and	and	CCONJ
aiti-8492	246	17	hedonic	hedonic	ADJ
aiti-8492	246	18	prediction	prediction	NOUN
aiti-8492	246	19	accuracy	accuracy	NOUN
aiti-8492	246	20	,	,	PUNCT
aiti-8492	246	21	”	"	PUNCT
aiti-8492	246	22	journal	journal	NOUN
aiti-8492	246	23	of	of	ADP
aiti-8492	246	24	housing	housing	NOUN
aiti-8492	246	25	economics	economic	NOUN
aiti-8492	246	26	,	,	PUNCT
aiti-8492	246	27	vol	vol	NOUN
aiti-8492	246	28	.	.	PROPN
aiti-8492	246	29	12	12	NUM
aiti-8492	246	30	,	,	PUNCT
aiti-8492	246	31	no	no	INTJ
aiti-8492	246	32	.	.	NOUN
aiti-8492	246	33	3	3	NUM
aiti-8492	246	34	,	,	PUNCT
aiti-8492	246	35	pp	pp	ADJ
aiti-8492	246	36	.	.	PUNCT
aiti-8492	246	37	181	181	NUM
aiti-8492	246	38	-	-	SYM
aiti-8492	246	39	201	201	NUM
aiti-8492	246	40	,	,	PUNCT
aiti-8492	246	41	september	september	PROPN
aiti-8492	246	42	2003	2003	NUM
aiti-8492	246	43	.	.	PUNCT
aiti-8492	247	1	[	[	X
aiti-8492	247	2	7	7	X
aiti-8492	247	3	]	]	X
aiti-8492	247	4	j.	j.	PROPN
aiti-8492	247	5	c.	c.	PROPN
aiti-8492	247	6	gower	gower	PROPN
aiti-8492	247	7	,	,	PUNCT
aiti-8492	247	8	“	"	PUNCT
aiti-8492	247	9	a	a	DET
aiti-8492	247	10	general	general	ADJ
aiti-8492	247	11	coefficient	coefficient	NOUN
aiti-8492	247	12	of	of	ADP
aiti-8492	247	13	similarity	similarity	NOUN
aiti-8492	247	14	and	and	CCONJ
aiti-8492	247	15	some	some	PRON
aiti-8492	247	16	of	of	ADP
aiti-8492	247	17	its	its	PRON
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aiti-8492	247	19	,	,	PUNCT
aiti-8492	247	20	”	"	PUNCT
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aiti-8492	247	22	,	,	PUNCT
aiti-8492	247	23	vol	vol	NOUN
aiti-8492	247	24	.	.	PROPN
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aiti-8492	247	26	,	,	PUNCT
aiti-8492	247	27	no	no	INTJ
aiti-8492	247	28	.	.	NOUN
aiti-8492	247	29	4	4	NUM
aiti-8492	247	30	,	,	PUNCT
aiti-8492	247	31	pp	pp	ADJ
aiti-8492	247	32	.	.	PUNCT
aiti-8492	248	1	857	857	NUM
aiti-8492	248	2	-	-	SYM
aiti-8492	248	3	871	871	NUM
aiti-8492	248	4	,	,	PUNCT
aiti-8492	248	5	december	december	PROPN
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aiti-8492	248	7	.	.	PUNCT
aiti-8492	249	1	[	[	X
aiti-8492	249	2	8	8	NUM
aiti-8492	249	3	]	]	X
aiti-8492	249	4	l.	l.	PROPN
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aiti-8492	249	7	,	,	PUNCT
aiti-8492	249	8	“	"	PUNCT
aiti-8492	249	9	measures	measure	NOUN
aiti-8492	249	10	of	of	ADP
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aiti-8492	249	12	amount	amount	NOUN
aiti-8492	249	13	of	of	ADP
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aiti-8492	249	15	association	association	NOUN
aiti-8492	249	16	between	between	ADP
aiti-8492	249	17	species	specie	NOUN
aiti-8492	249	18	,	,	PUNCT
aiti-8492	249	19	”	"	PUNCT
aiti-8492	249	20	ecology	ecology	NOUN
aiti-8492	249	21	,	,	PUNCT
aiti-8492	249	22	vol	vol	NOUN
aiti-8492	249	23	.	.	PROPN
aiti-8492	249	24	26	26	NUM
aiti-8492	249	25	,	,	PUNCT
aiti-8492	249	26	no	no	INTJ
aiti-8492	249	27	.	.	NOUN
aiti-8492	249	28	3	3	NUM
aiti-8492	249	29	,	,	PUNCT
aiti-8492	249	30	pp	pp	ADJ
aiti-8492	249	31	.	.	PUNCT
aiti-8492	250	1	297	297	NUM
aiti-8492	250	2	-	-	SYM
aiti-8492	250	3	302	302	NUM
aiti-8492	250	4	,	,	PUNCT
aiti-8492	250	5	july	july	PROPN
aiti-8492	250	6	1945	1945	NUM
aiti-8492	250	7	.	.	PUNCT
aiti-8492	251	1	[	[	X
aiti-8492	251	2	9	9	NUM
aiti-8492	251	3	]	]	PUNCT
aiti-8492	251	4	p.	p.	PROPN
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aiti-8492	251	7	l.	l.	PROPN
aiti-8492	251	8	legendre	legendre	PROPN
aiti-8492	251	9	,	,	PUNCT
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aiti-8492	251	12	,	,	PUNCT
aiti-8492	251	13	burlington	burlington	PROPN
aiti-8492	251	14	:	:	PUNCT
aiti-8492	251	15	elsevier	elsevier	PROPN
aiti-8492	251	16	science	science	PROPN
aiti-8492	251	17	,	,	PUNCT
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aiti-8492	252	1	[	[	X
aiti-8492	252	2	10	10	NUM
aiti-8492	252	3	]	]	PUNCT
aiti-8492	252	4	z.	z.	PROPN
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aiti-8492	252	7	“	"	PUNCT
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aiti-8492	252	11	k	k	NOUN
aiti-8492	252	12	-	-	PUNCT
aiti-8492	252	13	means	means	NOUN
aiti-8492	252	14	algorithm	algorithm	NOUN
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aiti-8492	252	25	data	datum	NOUN
aiti-8492	252	26	mining	mining	NOUN
aiti-8492	252	27	and	and	CCONJ
aiti-8492	252	28	knowledge	knowledge	NOUN
aiti-8492	252	29	discovery	discovery	NOUN
aiti-8492	252	30	,	,	PUNCT
aiti-8492	252	31	vol	vol	NOUN
aiti-8492	252	32	.	.	PROPN
aiti-8492	252	33	2	2	NUM
aiti-8492	252	34	,	,	PUNCT
aiti-8492	252	35	no	no	INTJ
aiti-8492	252	36	.	.	NOUN
aiti-8492	252	37	3	3	NUM
aiti-8492	252	38	,	,	PUNCT
aiti-8492	252	39	pp	pp	ADJ
aiti-8492	252	40	.	.	PUNCT
aiti-8492	253	1	283	283	NUM
aiti-8492	253	2	-	-	SYM
aiti-8492	253	3	304	304	NUM
aiti-8492	253	4	,	,	PUNCT
aiti-8492	253	5	1998	1998	NUM
aiti-8492	253	6	.	.	PUNCT
aiti-8492	254	1	[	[	X
aiti-8492	254	2	11	11	NUM
aiti-8492	254	3	]	]	PUNCT
aiti-8492	254	4	s.	s.	PROPN
aiti-8492	254	5	s.	s.	PROPN
aiti-8492	254	6	khan	khan	PROPN
aiti-8492	254	7	and	and	CCONJ
aiti-8492	254	8	a.	a.	PROPN
aiti-8492	254	9	ahmad	ahmad	PROPN
aiti-8492	254	10	,	,	PUNCT
aiti-8492	254	11	“	"	PUNCT
aiti-8492	254	12	cluster	cluster	NOUN
aiti-8492	254	13	center	center	NOUN
aiti-8492	254	14	initialization	initialization	NOUN
aiti-8492	254	15	algorithm	algorithm	NOUN
aiti-8492	254	16	for	for	ADP
aiti-8492	254	17	k	k	NOUN
aiti-8492	254	18	-	-	PUNCT
aiti-8492	254	19	modes	mode	NOUN
aiti-8492	254	20	clustering	clustering	NOUN
aiti-8492	254	21	,	,	PUNCT
aiti-8492	254	22	”	"	PUNCT
aiti-8492	254	23	expert	expert	NOUN
aiti-8492	254	24	systems	system	NOUN
aiti-8492	254	25	with	with	ADP
aiti-8492	254	26	applications	application	NOUN
aiti-8492	254	27	,	,	PUNCT
aiti-8492	254	28	vol	vol	NOUN
aiti-8492	254	29	.	.	PROPN
aiti-8492	254	30	40	40	NUM
aiti-8492	254	31	,	,	PUNCT
aiti-8492	254	32	no	no	INTJ
aiti-8492	254	33	.	.	NOUN
aiti-8492	254	34	18	18	NUM
aiti-8492	254	35	,	,	PUNCT
aiti-8492	254	36	pp	pp	ADJ
aiti-8492	254	37	.	.	PUNCT
aiti-8492	254	38	7444	7444	NUM
aiti-8492	254	39	-	-	SYM
aiti-8492	254	40	7456	7456	NUM
aiti-8492	254	41	,	,	PUNCT
aiti-8492	254	42	december	december	PROPN
aiti-8492	254	43	2013	2013	NUM
aiti-8492	254	44	.	.	PUNCT
aiti-8492	255	1	[	[	X
aiti-8492	255	2	12	12	NUM
aiti-8492	255	3	]	]	X
aiti-8492	255	4	n.	n.	PROPN
aiti-8492	255	5	sharma	sharma	PROPN
aiti-8492	255	6	and	and	CCONJ
aiti-8492	255	7	n.	n.	PROPN
aiti-8492	255	8	gaud	gaud	PROPN
aiti-8492	255	9	,	,	PUNCT
aiti-8492	255	10	“	"	PUNCT
aiti-8492	255	11	k	k	X
aiti-8492	255	12	-	-	PUNCT
aiti-8492	255	13	modes	mode	NOUN
aiti-8492	255	14	clustering	cluster	VERB
aiti-8492	255	15	algorithm	algorithm	NOUN
aiti-8492	255	16	for	for	ADP
aiti-8492	255	17	categorical	categorical	ADJ
aiti-8492	255	18	data	datum	NOUN
aiti-8492	255	19	,	,	PUNCT
aiti-8492	255	20	”	"	PUNCT
aiti-8492	255	21	international	international	ADJ
aiti-8492	255	22	journal	journal	NOUN
aiti-8492	255	23	of	of	ADP
aiti-8492	255	24	computer	computer	NOUN
aiti-8492	255	25	applications	application	NOUN
aiti-8492	255	26	,	,	PUNCT
aiti-8492	255	27	vol	vol	NOUN
aiti-8492	255	28	.	.	PUNCT
aiti-8492	256	1	127	127	NUM
aiti-8492	256	2	,	,	PUNCT
aiti-8492	256	3	no	no	INTJ
aiti-8492	256	4	.	.	NOUN
aiti-8492	256	5	17	17	NUM
aiti-8492	256	6	,	,	PUNCT
aiti-8492	256	7	pp	pp	ADJ
aiti-8492	256	8	.	.	PUNCT
aiti-8492	257	1	1	1	NUM
aiti-8492	257	2	-	-	SYM
aiti-8492	257	3	6	6	NUM
aiti-8492	257	4	,	,	PUNCT
aiti-8492	257	5	october	october	PROPN
aiti-8492	257	6	2015	2015	NUM
aiti-8492	257	7	.	.	PUNCT
aiti-8492	258	1	[	[	X
aiti-8492	258	2	13	13	NUM
aiti-8492	258	3	]	]	X
aiti-8492	258	4	c.	c.	PROPN
aiti-8492	258	5	guo	guo	PROPN
aiti-8492	258	6	and	and	CCONJ
aiti-8492	258	7	f.	f.	PROPN
aiti-8492	258	8	berkhahn	berkhahn	PROPN
aiti-8492	258	9	,	,	PUNCT
aiti-8492	258	10	“	"	PUNCT
aiti-8492	258	11	entity	entity	NOUN
aiti-8492	258	12	embeddings	embedding	NOUN
aiti-8492	258	13	of	of	ADP
aiti-8492	258	14	categorical	categorical	ADJ
aiti-8492	258	15	variables	variable	NOUN
aiti-8492	258	16	,	,	PUNCT
aiti-8492	258	17	”	"	PUNCT
aiti-8492	258	18	https://arxiv.org/pdf/1604.06737.pdf	https://arxiv.org/pdf/1604.06737.pdf	PROPN
aiti-8492	258	19	,	,	PUNCT
aiti-8492	258	20	april	april	PROPN
aiti-8492	258	21	22	22	NUM
aiti-8492	258	22	,	,	PUNCT
aiti-8492	258	23	2016	2016	NUM
aiti-8492	258	24	.	.	PUNCT
aiti-8492	259	1	[	[	X
aiti-8492	259	2	14	14	NUM
aiti-8492	259	3	]	]	X
aiti-8492	259	4	v.	v.	ADP
aiti-8492	259	5	efthymiou	efthymiou	NOUN
aiti-8492	259	6	,	,	PUNCT
aiti-8492	259	7	o.	o.	PROPN
aiti-8492	259	8	hassanzadeh	hassanzadeh	PROPN
aiti-8492	259	9	,	,	PUNCT
aiti-8492	259	10	m.	m.	PROPN
aiti-8492	259	11	rodriguez	rodriguez	PROPN
aiti-8492	259	12	-	-	PUNCT
aiti-8492	259	13	muro	muro	NOUN
aiti-8492	259	14	,	,	PUNCT
aiti-8492	259	15	and	and	CCONJ
aiti-8492	259	16	v.	v.	ADP
aiti-8492	259	17	christophides	christophide	NOUN
aiti-8492	259	18	,	,	PUNCT
aiti-8492	259	19	“	"	PUNCT
aiti-8492	259	20	matching	match	VERB
aiti-8492	259	21	web	web	NOUN
aiti-8492	259	22	tables	table	NOUN
aiti-8492	259	23	with	with	ADP
aiti-8492	259	24	knowledge	knowledge	NOUN
aiti-8492	259	25	base	base	NOUN
aiti-8492	259	26	entities	entity	NOUN
aiti-8492	259	27	:	:	PUNCT
aiti-8492	259	28	from	from	ADP
aiti-8492	259	29	entity	entity	NOUN
aiti-8492	259	30	lookups	lookup	NOUN
aiti-8492	259	31	to	to	ADP
aiti-8492	259	32	entity	entity	NOUN
aiti-8492	259	33	embeddings	embedding	NOUN
aiti-8492	259	34	,	,	PUNCT
aiti-8492	259	35	”	"	PUNCT
aiti-8492	259	36	international	international	ADJ
aiti-8492	259	37	semantic	semantic	ADJ
aiti-8492	259	38	web	web	NOUN
aiti-8492	259	39	conference	conference	NOUN
aiti-8492	259	40	,	,	PUNCT
aiti-8492	259	41	pp	pp	ADP
aiti-8492	259	42	.	.	PUNCT
aiti-8492	260	1	260	260	NUM
aiti-8492	260	2	-	-	SYM
aiti-8492	260	3	277	277	NUM
aiti-8492	260	4	,	,	PUNCT
aiti-8492	260	5	october	october	PROPN
aiti-8492	260	6	2017	2017	NUM
aiti-8492	260	7	.	.	PUNCT
aiti-8492	261	1	[	[	X
aiti-8492	261	2	15	15	NUM
aiti-8492	261	3	]	]	X
aiti-8492	261	4	j.	j.	PROPN
aiti-8492	261	5	pennington	pennington	PROPN
aiti-8492	261	6	,	,	PUNCT
aiti-8492	261	7	r.	r.	PROPN
aiti-8492	261	8	socher	socher	PROPN
aiti-8492	261	9	,	,	PUNCT
aiti-8492	261	10	and	and	CCONJ
aiti-8492	261	11	c.	c.	PROPN
aiti-8492	261	12	d.	d.	PROPN
aiti-8492	261	13	manning	manning	PROPN
aiti-8492	261	14	,	,	PUNCT
aiti-8492	261	15	“	"	PUNCT
aiti-8492	261	16	glove	glove	NOUN
aiti-8492	261	17	:	:	PUNCT
aiti-8492	261	18	global	global	ADJ
aiti-8492	261	19	vectors	vector	NOUN
aiti-8492	261	20	for	for	ADP
aiti-8492	261	21	word	word	NOUN
aiti-8492	261	22	representation	representation	NOUN
aiti-8492	261	23	,	,	PUNCT
aiti-8492	261	24	”	"	PUNCT
aiti-8492	261	25	conference	conference	NOUN
aiti-8492	261	26	on	on	ADP
aiti-8492	261	27	empirical	empirical	ADJ
aiti-8492	261	28	methods	method	NOUN
aiti-8492	261	29	in	in	ADP
aiti-8492	261	30	natural	natural	ADJ
aiti-8492	261	31	language	language	NOUN
aiti-8492	261	32	processing	processing	NOUN
aiti-8492	261	33	,	,	PUNCT
aiti-8492	261	34	pp	pp	ADJ
aiti-8492	261	35	.	.	PUNCT
aiti-8492	261	36	1532	1532	NUM
aiti-8492	261	37	-	-	SYM
aiti-8492	261	38	1543	1543	NUM
aiti-8492	261	39	,	,	PUNCT
aiti-8492	261	40	october	october	PROPN
aiti-8492	261	41	2014	2014	NUM
aiti-8492	261	42	.	.	PUNCT
aiti-8492	262	1	[	[	X
aiti-8492	262	2	16	16	NUM
aiti-8492	262	3	]	]	X
aiti-8492	262	4	o.	o.	NOUN
aiti-8492	262	5	abdelwahab	abdelwahab	PROPN
aiti-8492	262	6	and	and	CCONJ
aiti-8492	262	7	a.	a.	NOUN
aiti-8492	262	8	elmaghraby	elmaghraby	PROPN
aiti-8492	262	9	,	,	PUNCT
aiti-8492	262	10	“	"	PUNCT
aiti-8492	262	11	uofl	uofl	NOUN
aiti-8492	262	12	at	at	ADP
aiti-8492	262	13	semeval-2016	semeval-2016	ADJ
aiti-8492	262	14	task	task	NOUN
aiti-8492	262	15	4	4	NUM
aiti-8492	262	16	:	:	PUNCT
aiti-8492	262	17	multi	multi	ADJ
aiti-8492	262	18	domain	domain	NOUN
aiti-8492	262	19	word2vec	word2vec	X
aiti-8492	262	20	for	for	ADP
aiti-8492	262	21	twitter	twitter	NOUN
aiti-8492	262	22	sentiment	sentiment	NOUN
aiti-8492	262	23	classification	classification	NOUN
aiti-8492	262	24	,	,	PUNCT
aiti-8492	262	25	”	"	PUNCT
aiti-8492	262	26	10th	10th	ADJ
aiti-8492	262	27	international	international	ADJ
aiti-8492	262	28	workshop	workshop	NOUN
aiti-8492	262	29	on	on	ADP
aiti-8492	262	30	semantic	semantic	ADJ
aiti-8492	262	31	evaluation	evaluation	NOUN
aiti-8492	262	32	,	,	PUNCT
aiti-8492	262	33	pp	pp	ADP
aiti-8492	262	34	.	.	PUNCT
aiti-8492	263	1	164	164	NUM
aiti-8492	263	2	-	-	SYM
aiti-8492	263	3	170	170	NUM
aiti-8492	263	4	,	,	PUNCT
aiti-8492	263	5	june	june	PROPN
aiti-8492	263	6	2016	2016	NUM
aiti-8492	263	7	.	.	PUNCT
aiti-8492	264	1	[	[	X
aiti-8492	264	2	17	17	NUM
aiti-8492	264	3	]	]	PUNCT
aiti-8492	264	4	z.	z.	PROPN
aiti-8492	264	5	chen	chen	PROPN
aiti-8492	264	6	,	,	PUNCT
aiti-8492	264	7	y.	y.	PROPN
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aiti-8492	264	9	,	,	PUNCT
aiti-8492	264	10	y.	y.	PROPN
aiti-8492	264	11	liang	liang	PROPN
aiti-8492	264	12	,	,	PUNCT
aiti-8492	264	13	y.	y.	PROPN
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aiti-8492	264	15	,	,	PUNCT
aiti-8492	264	16	x.	x.	NOUN
aiti-8492	264	17	fu	fu	PROPN
aiti-8492	264	18	,	,	PUNCT
aiti-8492	264	19	and	and	CCONJ
aiti-8492	264	20	k.	k.	PROPN
aiti-8492	264	21	fu	fu	PROPN
aiti-8492	264	22	,	,	PUNCT
aiti-8492	264	23	“	"	PUNCT
aiti-8492	264	24	rglove	rglove	NOUN
aiti-8492	264	25	:	:	PUNCT
aiti-8492	264	26	an	an	DET
aiti-8492	264	27	improved	improved	ADJ
aiti-8492	264	28	approach	approach	NOUN
aiti-8492	264	29	of	of	ADP
aiti-8492	264	30	global	global	ADJ
aiti-8492	264	31	vectors	vector	NOUN
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aiti-8492	264	34	entity	entity	NOUN
aiti-8492	264	35	relation	relation	NOUN
aiti-8492	264	36	representation	representation	NOUN
aiti-8492	264	37	,	,	PUNCT
aiti-8492	264	38	”	"	PUNCT
aiti-8492	264	39	algorithms	algorithm	NOUN
aiti-8492	264	40	,	,	PUNCT
aiti-8492	264	41	vol	vol	NOUN
aiti-8492	264	42	.	.	PROPN
aiti-8492	264	43	10	10	NUM
aiti-8492	264	44	,	,	PUNCT
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aiti-8492	264	46	.	.	NOUN
aiti-8492	264	47	2	2	NUM
aiti-8492	264	48	,	,	PUNCT
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aiti-8492	264	50	,	,	PUNCT
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aiti-8492	265	2	18	18	NUM
aiti-8492	265	3	]	]	PUNCT
aiti-8492	265	4	m.	m.	NOUN
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aiti-8492	265	7	a.	a.	NOUN
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aiti-8492	265	9	,	,	PUNCT
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aiti-8492	265	14	with	with	ADP
aiti-8492	265	15	machine	machine	NOUN
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aiti-8492	265	17	and	and	CCONJ
aiti-8492	265	18	transfer	transfer	VERB
aiti-8492	265	19	learning	learning	NOUN
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aiti-8492	265	26	data	datum	NOUN
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aiti-8492	265	30	,	,	PUNCT
aiti-8492	265	31	pp	pp	ADJ
aiti-8492	265	32	.	.	PUNCT
aiti-8492	266	1	1	1	NUM
aiti-8492	266	2	-	-	SYM
aiti-8492	266	3	6	6	NUM
aiti-8492	266	4	,	,	PUNCT
aiti-8492	266	5	september	september	PROPN
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aiti-8492	266	7	.	.	PUNCT
aiti-8492	267	1	[	[	X
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aiti-8492	267	4	j.	j.	PROPN
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aiti-8492	267	7	r.	r.	PROPN
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aiti-8492	267	9	,	,	PUNCT
aiti-8492	267	10	and	and	CCONJ
aiti-8492	267	11	a.	a.	NOUN
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aiti-8492	267	13	,	,	PUNCT
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aiti-8492	267	15	unsupervised	unsupervised	ADJ
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aiti-8492	267	17	embedding	embed	VERB
aiti-8492	267	18	for	for	ADP
aiti-8492	267	19	clustering	cluster	VERB
aiti-8492	267	20	analysis	analysis	NOUN
aiti-8492	267	21	,	,	PUNCT
aiti-8492	267	22	”	"	PUNCT
aiti-8492	267	23	international	international	ADJ
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aiti-8492	267	25	on	on	ADP
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aiti-8492	267	28	,	,	PUNCT
aiti-8492	267	29	pp	pp	ADJ
aiti-8492	267	30	.	.	PUNCT
aiti-8492	268	1	478	478	NUM
aiti-8492	268	2	-	-	NUM
aiti-8492	268	3	487	487	NUM
aiti-8492	268	4	,	,	PUNCT
aiti-8492	268	5	june	june	PROPN
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aiti-8492	268	7	.	.	PUNCT
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aiti-8492	269	2	20	20	NUM
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aiti-8492	269	4	x.	x.	NOUN
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aiti-8492	269	6	,	,	PUNCT
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aiti-8492	269	9	,	,	PUNCT
aiti-8492	269	10	x.	x.	PROPN
aiti-8492	269	11	liu	liu	PROPN
aiti-8492	269	12	,	,	PUNCT
aiti-8492	269	13	and	and	CCONJ
aiti-8492	269	14	j.	j.	PROPN
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aiti-8492	269	29	international	international	ADJ
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aiti-8492	269	33	artificial	artificial	ADJ
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aiti-8492	269	35	,	,	PUNCT
aiti-8492	269	36	pp	pp	ADP
aiti-8492	269	37	.	.	PUNCT
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aiti-8492	269	39	-	-	SYM
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aiti-8492	269	41	,	,	PUNCT
aiti-8492	269	42	august	august	PROPN
aiti-8492	269	43	2017	2017	NUM
aiti-8492	269	44	.	.	PUNCT
aiti-8492	270	1	[	[	X
aiti-8492	270	2	21	21	NUM
aiti-8492	270	3	]	]	X
aiti-8492	270	4	c.	c.	PROPN
aiti-8492	270	5	wu	wu	PROPN
aiti-8492	270	6	and	and	CCONJ
aiti-8492	270	7	r.	r.	PROPN
aiti-8492	270	8	sharma	sharma	PROPN
aiti-8492	270	9	,	,	PUNCT
aiti-8492	270	10	“	"	PUNCT
aiti-8492	270	11	housing	housing	NOUN
aiti-8492	270	12	submarket	submarket	PROPN
aiti-8492	270	13	classification	classification	NOUN
aiti-8492	270	14	:	:	PUNCT
aiti-8492	270	15	the	the	DET
aiti-8492	270	16	role	role	NOUN
aiti-8492	270	17	of	of	ADP
aiti-8492	270	18	spatial	spatial	ADJ
aiti-8492	270	19	contiguity	contiguity	NOUN
aiti-8492	270	20	,	,	PUNCT
aiti-8492	270	21	”	"	PUNCT
aiti-8492	270	22	applied	apply	VERB
aiti-8492	270	23	geography	geography	NOUN
aiti-8492	270	24	,	,	PUNCT
aiti-8492	270	25	vol	vol	NOUN
aiti-8492	270	26	.	.	PROPN
aiti-8492	270	27	32	32	NUM
aiti-8492	270	28	,	,	PUNCT
aiti-8492	270	29	no	no	INTJ
aiti-8492	270	30	.	.	NOUN
aiti-8492	270	31	2	2	NUM
aiti-8492	270	32	,	,	PUNCT
aiti-8492	270	33	pp	pp	ADJ
aiti-8492	270	34	.	.	PUNCT
aiti-8492	271	1	746	746	NUM
aiti-8492	271	2	-	-	SYM
aiti-8492	271	3	756	756	NUM
aiti-8492	271	4	,	,	PUNCT
aiti-8492	271	5	march	march	PROPN
aiti-8492	271	6	2012	2012	NUM
aiti-8492	271	7	.	.	PUNCT
aiti-8492	272	1	[	[	X
aiti-8492	272	2	22	22	NUM
aiti-8492	272	3	]	]	X
aiti-8492	272	4	b.	b.	PROPN
aiti-8492	272	5	keskin	keskin	PROPN
aiti-8492	272	6	and	and	CCONJ
aiti-8492	272	7	c.	c.	PROPN
aiti-8492	272	8	watkins	watkins	PROPN
aiti-8492	272	9	,	,	PUNCT
aiti-8492	272	10	“	"	PUNCT
aiti-8492	272	11	defining	define	VERB
aiti-8492	272	12	spatial	spatial	ADJ
aiti-8492	272	13	housing	housing	NOUN
aiti-8492	272	14	submarkets	submarket	NOUN
aiti-8492	272	15	:	:	PUNCT
aiti-8492	272	16	exploring	explore	VERB
aiti-8492	272	17	the	the	DET
aiti-8492	272	18	case	case	NOUN
aiti-8492	272	19	for	for	ADP
aiti-8492	272	20	expert	expert	ADJ
aiti-8492	272	21	delineated	delineated	ADJ
aiti-8492	272	22	boundaries	boundary	NOUN
aiti-8492	272	23	,	,	PUNCT
aiti-8492	272	24	”	"	PUNCT
aiti-8492	272	25	urban	urban	ADJ
aiti-8492	272	26	studies	study	NOUN
aiti-8492	272	27	,	,	PUNCT
aiti-8492	272	28	vol	vol	NOUN
aiti-8492	272	29	.	.	PROPN
aiti-8492	272	30	54	54	NUM
aiti-8492	272	31	,	,	PUNCT
aiti-8492	272	32	no	no	INTJ
aiti-8492	272	33	.	.	NOUN
aiti-8492	272	34	6	6	NUM
aiti-8492	272	35	,	,	PUNCT
aiti-8492	272	36	pp	pp	ADJ
aiti-8492	272	37	.	.	PUNCT
aiti-8492	272	38	1446	1446	NUM
aiti-8492	272	39	-	-	SYM
aiti-8492	272	40	1462	1462	NUM
aiti-8492	272	41	,	,	PUNCT
aiti-8492	272	42	2017	2017	NUM
aiti-8492	272	43	.	.	PUNCT
aiti-8492	273	1	[	[	X
aiti-8492	273	2	23	23	NUM
aiti-8492	273	3	]	]	X
aiti-8492	273	4	s.	s.	PROPN
aiti-8492	273	5	openshaw	openshaw	PROPN
aiti-8492	273	6	,	,	PUNCT
aiti-8492	273	7	“	"	PUNCT
aiti-8492	273	8	a	a	DET
aiti-8492	273	9	geographical	geographical	ADJ
aiti-8492	273	10	solution	solution	NOUN
aiti-8492	273	11	to	to	PART
aiti-8492	273	12	scale	scale	VERB
aiti-8492	273	13	and	and	CCONJ
aiti-8492	273	14	aggregation	aggregation	NOUN
aiti-8492	273	15	problems	problem	NOUN
aiti-8492	273	16	in	in	ADP
aiti-8492	273	17	region	region	NOUN
aiti-8492	273	18	-	-	PUNCT
aiti-8492	273	19	building	building	NOUN
aiti-8492	273	20	,	,	PUNCT
aiti-8492	273	21	partitioning	partition	VERB
aiti-8492	273	22	and	and	CCONJ
aiti-8492	273	23	spatial	spatial	ADJ
aiti-8492	273	24	modelling	modelling	NOUN
aiti-8492	273	25	,	,	PUNCT
aiti-8492	273	26	”	"	PUNCT
aiti-8492	273	27	transactions	transaction	NOUN
aiti-8492	273	28	of	of	ADP
aiti-8492	273	29	the	the	DET
aiti-8492	273	30	institute	institute	NOUN
aiti-8492	273	31	of	of	ADP
aiti-8492	273	32	british	british	PROPN
aiti-8492	273	33	geographers	geographers	PROPN
aiti-8492	273	34	,	,	PUNCT
aiti-8492	273	35	vol	vol	NOUN
aiti-8492	273	36	.	.	PROPN
aiti-8492	273	37	2	2	NUM
aiti-8492	273	38	,	,	PUNCT
aiti-8492	273	39	no	no	INTJ
aiti-8492	273	40	.	.	NOUN
aiti-8492	273	41	4	4	NUM
aiti-8492	273	42	,	,	PUNCT
aiti-8492	273	43	pp	pp	ADJ
aiti-8492	273	44	.	.	PUNCT
aiti-8492	273	45	459	459	NUM
aiti-8492	273	46	-	-	SYM
aiti-8492	273	47	472	472	NUM
aiti-8492	273	48	,	,	PUNCT
aiti-8492	273	49	1977	1977	NUM
aiti-8492	273	50	.	.	PUNCT
aiti-8492	274	1	[	[	X
aiti-8492	274	2	24	24	NUM
aiti-8492	274	3	]	]	X
aiti-8492	274	4	d.	d.	PROPN
aiti-8492	274	5	p.	p.	PROPN
aiti-8492	274	6	claessens	claessens	PROPN
aiti-8492	274	7	,	,	PUNCT
aiti-8492	274	8	s.	s.	PROPN
aiti-8492	274	9	boonstra	boonstra	PROPN
aiti-8492	274	10	,	,	PUNCT
aiti-8492	274	11	and	and	CCONJ
aiti-8492	274	12	h.	h.	PROPN
aiti-8492	274	13	hofmeyer	hofmeyer	PROPN
aiti-8492	274	14	,	,	PUNCT
aiti-8492	274	15	“	"	PUNCT
aiti-8492	274	16	spatial	spatial	ADJ
aiti-8492	274	17	zoning	zoning	NOUN
aiti-8492	274	18	for	for	ADP
aiti-8492	274	19	better	well	ADJ
aiti-8492	274	20	structural	structural	ADJ
aiti-8492	274	21	topology	topology	NOUN
aiti-8492	274	22	design	design	NOUN
aiti-8492	274	23	and	and	CCONJ
aiti-8492	274	24	performance	performance	NOUN
aiti-8492	274	25	,	,	PUNCT
aiti-8492	274	26	”	"	PUNCT
aiti-8492	274	27	advanced	advanced	ADJ
aiti-8492	274	28	engineering	engineering	NOUN
aiti-8492	274	29	informatics	informatic	NOUN
aiti-8492	274	30	,	,	PUNCT
aiti-8492	274	31	vol	vol	NOUN
aiti-8492	274	32	.	.	PROPN
aiti-8492	274	33	46	46	NUM
aiti-8492	274	34	,	,	PUNCT
aiti-8492	274	35	101162	101162	NUM
aiti-8492	274	36	,	,	PUNCT
aiti-8492	274	37	october	october	PROPN
aiti-8492	274	38	2020	2020	NUM
aiti-8492	274	39	.	.	PUNCT
aiti-8492	275	1	[	[	X
aiti-8492	275	2	25	25	NUM
aiti-8492	275	3	]	]	X
aiti-8492	275	4	r.	r.	PROPN
aiti-8492	275	5	m.	m.	PROPN
aiti-8492	275	6	assunção	assunção	PROPN
aiti-8492	275	7	,	,	PUNCT
aiti-8492	275	8	m.	m.	PROPN
aiti-8492	275	9	c.	c.	PROPN
aiti-8492	275	10	neves	neves	PROPN
aiti-8492	275	11	,	,	PUNCT
aiti-8492	275	12	g.	g.	PROPN
aiti-8492	275	13	câmara	câmara	PROPN
aiti-8492	275	14	,	,	PUNCT
aiti-8492	275	15	and	and	CCONJ
aiti-8492	275	16	c.	c.	PROPN
aiti-8492	275	17	da	da	PROPN
aiti-8492	275	18	costa	costa	PROPN
aiti-8492	275	19	freitas	freita	NOUN
aiti-8492	275	20	,	,	PUNCT
aiti-8492	275	21	“	"	PUNCT
aiti-8492	275	22	efficient	efficient	ADJ
aiti-8492	275	23	regionalization	regionalization	NOUN
aiti-8492	275	24	techniques	technique	NOUN
aiti-8492	275	25	for	for	ADP
aiti-8492	275	26	socio‐	socio‐	NOUN
aiti-8492	275	27	economic	economic	ADJ
aiti-8492	275	28	geographical	geographical	ADJ
aiti-8492	275	29	units	unit	NOUN
aiti-8492	275	30	using	use	VERB
aiti-8492	275	31	minimum	minimum	ADJ
aiti-8492	275	32	spanning	span	VERB
aiti-8492	275	33	trees	tree	NOUN
aiti-8492	275	34	,	,	PUNCT
aiti-8492	275	35	”	"	PUNCT
aiti-8492	275	36	international	international	ADJ
aiti-8492	275	37	journal	journal	NOUN
aiti-8492	275	38	of	of	ADP
aiti-8492	275	39	geographical	geographical	ADJ
aiti-8492	275	40	information	information	NOUN
aiti-8492	275	41	science	science	NOUN
aiti-8492	275	42	,	,	PUNCT
aiti-8492	275	43	vol	vol	NOUN
aiti-8492	275	44	.	.	PROPN
aiti-8492	275	45	20	20	NUM
aiti-8492	275	46	,	,	PUNCT
aiti-8492	275	47	no	no	INTJ
aiti-8492	275	48	.	.	NOUN
aiti-8492	275	49	7	7	NUM
aiti-8492	275	50	,	,	PUNCT
aiti-8492	275	51	pp	pp	ADJ
aiti-8492	275	52	.	.	PUNCT
aiti-8492	276	1	797	797	NUM
aiti-8492	276	2	-	-	SYM
aiti-8492	276	3	811	811	NUM
aiti-8492	276	4	,	,	PUNCT
aiti-8492	276	5	2006	2006	NUM
aiti-8492	276	6	.	.	PUNCT
aiti-8492	277	1	[	[	X
aiti-8492	277	2	26	26	NUM
aiti-8492	277	3	]	]	X
aiti-8492	277	4	w.	w.	PROPN
aiti-8492	277	5	lin	lin	PROPN
aiti-8492	277	6	and	and	CCONJ
aiti-8492	277	7	y.	y.	PROPN
aiti-8492	277	8	li	li	PROPN
aiti-8492	277	9	,	,	PUNCT
aiti-8492	277	10	“	"	PUNCT
aiti-8492	277	11	parallel	parallel	ADJ
aiti-8492	277	12	regional	regional	ADJ
aiti-8492	277	13	segmentation	segmentation	NOUN
aiti-8492	277	14	method	method	NOUN
aiti-8492	277	15	of	of	ADP
aiti-8492	277	16	high	high	ADJ
aiti-8492	277	17	-	-	PUNCT
aiti-8492	277	18	resolution	resolution	NOUN
aiti-8492	277	19	remote	remote	ADJ
aiti-8492	277	20	sensing	sense	VERB
aiti-8492	277	21	image	image	NOUN
aiti-8492	277	22	based	base	VERB
aiti-8492	277	23	on	on	ADP
aiti-8492	277	24	minimum	minimum	ADJ
aiti-8492	277	25	spanning	span	VERB
aiti-8492	277	26	tree	tree	NOUN
aiti-8492	277	27	,	,	PUNCT
aiti-8492	277	28	”	"	PUNCT
aiti-8492	277	29	remote	remote	ADJ
aiti-8492	277	30	sensing	sensing	NOUN
aiti-8492	277	31	,	,	PUNCT
aiti-8492	277	32	vol	vol	NOUN
aiti-8492	277	33	.	.	PROPN
aiti-8492	277	34	12	12	NUM
aiti-8492	277	35	,	,	PUNCT
aiti-8492	277	36	no	no	INTJ
aiti-8492	277	37	.	.	NOUN
aiti-8492	277	38	5	5	NUM
aiti-8492	277	39	,	,	PUNCT
aiti-8492	277	40	783	783	NUM
aiti-8492	277	41	,	,	PUNCT
aiti-8492	277	42	2020	2020	NUM
aiti-8492	277	43	.	.	PUNCT
aiti-8492	278	1	39	39	NUM
aiti-8492	278	2	advances	advance	NOUN
aiti-8492	278	3	in	in	ADP
aiti-8492	278	4	technology	technology	NOUN
aiti-8492	278	5	innovation	innovation	NOUN
aiti-8492	278	6	,	,	PUNCT
aiti-8492	278	7	vol	vol	NOUN
aiti-8492	278	8	.	.	PROPN
aiti-8492	278	9	7	7	NUM
aiti-8492	278	10	,	,	PUNCT
aiti-8492	278	11	no	no	INTJ
aiti-8492	278	12	.	.	NOUN
aiti-8492	278	13	1	1	NUM
aiti-8492	278	14	,	,	PUNCT
aiti-8492	278	15	2022	2022	NUM
aiti-8492	278	16	,	,	PUNCT
aiti-8492	278	17	pp	pp	ADJ
aiti-8492	278	18	.	.	PUNCT
aiti-8492	279	1	30	30	NUM
aiti-8492	279	2	-	-	SYM
aiti-8492	279	3	40	40	NUM
aiti-8492	280	1	[	[	X
aiti-8492	280	2	27	27	NUM
aiti-8492	280	3	]	]	PUNCT
aiti-8492	280	4	z.	z.	PROPN
aiti-8492	280	5	cai	cai	PROPN
aiti-8492	280	6	,	,	PUNCT
aiti-8492	280	7	j.	j.	PROPN
aiti-8492	280	8	wang	wang	PROPN
aiti-8492	280	9	,	,	PUNCT
aiti-8492	280	10	and	and	CCONJ
aiti-8492	280	11	k.	k.	PROPN
aiti-8492	281	1	he	he	PRON
aiti-8492	281	2	,	,	PUNCT
aiti-8492	281	3	“	"	PUNCT
aiti-8492	281	4	adaptive	adaptive	ADJ
aiti-8492	281	5	density	density	NOUN
aiti-8492	281	6	-	-	PUNCT
aiti-8492	281	7	based	base	VERB
aiti-8492	281	8	spatial	spatial	ADJ
aiti-8492	281	9	clustering	clustering	NOUN
aiti-8492	281	10	for	for	ADP
aiti-8492	281	11	massive	massive	ADJ
aiti-8492	281	12	data	datum	NOUN
aiti-8492	281	13	analysis	analysis	NOUN
aiti-8492	281	14	,	,	PUNCT
aiti-8492	281	15	”	"	PUNCT
aiti-8492	281	16	ieee	ieee	NOUN
aiti-8492	281	17	access	access	NOUN
aiti-8492	281	18	,	,	PUNCT
aiti-8492	281	19	vol	vol	NOUN
aiti-8492	281	20	.	.	PROPN
aiti-8492	281	21	8	8	NUM
aiti-8492	281	22	,	,	PUNCT
aiti-8492	281	23	pp	pp	ADJ
aiti-8492	281	24	.	.	PUNCT
aiti-8492	282	1	23346	23346	NUM
aiti-8492	282	2	-	-	SYM
aiti-8492	282	3	23358	23358	NUM
aiti-8492	282	4	,	,	PUNCT
aiti-8492	282	5	2020	2020	NUM
aiti-8492	282	6	.	.	PUNCT
aiti-8492	283	1	[	[	X
aiti-8492	283	2	28	28	NUM
aiti-8492	283	3	]	]	X
aiti-8492	283	4	n.	n.	PROPN
aiti-8492	283	5	jabeur	jabeur	PROPN
aiti-8492	283	6	,	,	PUNCT
aiti-8492	283	7	a.	a.	PROPN
aiti-8492	283	8	u.	u.	PROPN
aiti-8492	283	9	h.	h.	PROPN
aiti-8492	283	10	yasar	yasar	PROPN
aiti-8492	283	11	,	,	PUNCT
aiti-8492	283	12	e.	e.	PROPN
aiti-8492	283	13	shakshuki	shakshuki	PROPN
aiti-8492	283	14	,	,	PUNCT
aiti-8492	283	15	and	and	CCONJ
aiti-8492	283	16	h.	h.	PROPN
aiti-8492	283	17	haddad	haddad	PROPN
aiti-8492	283	18	,	,	PUNCT
aiti-8492	283	19	“	"	PUNCT
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aiti-8492	283	21	a	a	DET
aiti-8492	283	22	bio	bio	NOUN
aiti-8492	283	23	-	-	PUNCT
aiti-8492	283	24	inspired	inspire	VERB
aiti-8492	283	25	adaptive	adaptive	ADJ
aiti-8492	283	26	spatial	spatial	ADJ
aiti-8492	283	27	clustering	clustering	ADJ
aiti-8492	283	28	approach	approach	NOUN
aiti-8492	283	29	for	for	ADP
aiti-8492	283	30	iot	iot	NOUN
aiti-8492	283	31	applications	application	NOUN
aiti-8492	283	32	,	,	PUNCT
aiti-8492	283	33	”	"	PUNCT
aiti-8492	283	34	future	future	ADJ
aiti-8492	283	35	generation	generation	NOUN
aiti-8492	283	36	computer	computer	NOUN
aiti-8492	283	37	systems	system	NOUN
aiti-8492	283	38	,	,	PUNCT
aiti-8492	283	39	vol	vol	NOUN
aiti-8492	283	40	.	.	PUNCT
aiti-8492	283	41	107	107	NUM
aiti-8492	283	42	,	,	PUNCT
aiti-8492	283	43	pp	pp	ADV
aiti-8492	283	44	.	.	PUNCT
aiti-8492	284	1	736	736	NUM
aiti-8492	284	2	-	-	SYM
aiti-8492	284	3	744	744	NUM
aiti-8492	284	4	,	,	PUNCT
aiti-8492	284	5	june	june	PROPN
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aiti-8492	284	7	.	.	PUNCT
aiti-8492	285	1	[	[	X
aiti-8492	285	2	29	29	NUM
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aiti-8492	285	4	w.	w.	PROPN
aiti-8492	285	5	m.	m.	PROPN
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aiti-8492	285	7	,	,	PUNCT
aiti-8492	285	8	“	"	PUNCT
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aiti-8492	285	14	of	of	ADP
aiti-8492	285	15	clustering	clustering	ADJ
aiti-8492	285	16	methods	method	NOUN
aiti-8492	285	17	,	,	PUNCT
aiti-8492	285	18	”	"	PUNCT
aiti-8492	285	19	journal	journal	NOUN
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aiti-8492	285	22	american	american	PROPN
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aiti-8492	285	25	,	,	PUNCT
aiti-8492	285	26	vol	vol	NOUN
aiti-8492	285	27	.	.	PROPN
aiti-8492	286	1	66	66	NUM
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aiti-8492	286	4	.	.	NOUN
aiti-8492	286	5	336	336	NUM
aiti-8492	286	6	,	,	PUNCT
aiti-8492	286	7	pp	pp	PROPN
aiti-8492	286	8	.	.	PUNCT
aiti-8492	287	1	846	846	NUM
aiti-8492	287	2	-	-	SYM
aiti-8492	287	3	850	850	NUM
aiti-8492	287	4	,	,	PUNCT
aiti-8492	287	5	december	december	PROPN
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aiti-8492	287	7	.	.	PUNCT
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aiti-8492	288	2	30	30	NUM
aiti-8492	288	3	]	]	PUNCT
aiti-8492	288	4	p.	p.	PROPN
aiti-8492	288	5	j.	j.	PROPN
aiti-8492	288	6	rousseeuw	rousseeuw	PROPN
aiti-8492	288	7	,	,	PUNCT
aiti-8492	288	8	“	"	PUNCT
aiti-8492	288	9	silhouettes	silhouette	NOUN
aiti-8492	288	10	:	:	PUNCT
aiti-8492	288	11	a	a	DET
aiti-8492	288	12	graphical	graphical	ADJ
aiti-8492	288	13	aid	aid	NOUN
aiti-8492	288	14	to	to	ADP
aiti-8492	288	15	the	the	DET
aiti-8492	288	16	interpretation	interpretation	NOUN
aiti-8492	288	17	and	and	CCONJ
aiti-8492	288	18	validation	validation	NOUN
aiti-8492	288	19	of	of	ADP
aiti-8492	288	20	cluster	cluster	NOUN
aiti-8492	288	21	analysis	analysis	NOUN
aiti-8492	288	22	,	,	PUNCT
aiti-8492	288	23	”	"	PUNCT
aiti-8492	288	24	journal	journal	NOUN
aiti-8492	288	25	of	of	ADP
aiti-8492	288	26	computational	computational	ADJ
aiti-8492	288	27	and	and	CCONJ
aiti-8492	288	28	applied	applied	ADJ
aiti-8492	288	29	mathematics	mathematic	NOUN
aiti-8492	288	30	,	,	PUNCT
aiti-8492	288	31	vol	vol	NOUN
aiti-8492	288	32	.	.	PROPN
aiti-8492	288	33	20	20	NUM
aiti-8492	288	34	,	,	PUNCT
aiti-8492	288	35	pp	pp	ADJ
aiti-8492	288	36	.	.	PUNCT
aiti-8492	289	1	53	53	NUM
aiti-8492	289	2	-	-	SYM
aiti-8492	289	3	65	65	NUM
aiti-8492	289	4	,	,	PUNCT
aiti-8492	289	5	november	november	PROPN
aiti-8492	289	6	1987	1987	NUM
aiti-8492	289	7	.	.	PUNCT
aiti-8492	290	1	[	[	X
aiti-8492	290	2	31	31	NUM
aiti-8492	290	3	]	]	PUNCT
aiti-8492	290	4	s.	s.	PROPN
aiti-8492	290	5	eldridge	eldridge	PROPN
aiti-8492	290	6	,	,	PUNCT
aiti-8492	290	7	d.	d.	PROPN
aiti-8492	290	8	ashby	ashby	PROPN
aiti-8492	290	9	,	,	PUNCT
aiti-8492	290	10	c.	c.	PROPN
aiti-8492	290	11	bennett	bennett	PROPN
aiti-8492	290	12	,	,	PUNCT
aiti-8492	290	13	m.	m.	PROPN
aiti-8492	290	14	wakelin	wakelin	PROPN
aiti-8492	290	15	,	,	PUNCT
aiti-8492	290	16	and	and	CCONJ
aiti-8492	290	17	g.	g.	PROPN
aiti-8492	290	18	feder	feder	PROPN
aiti-8492	290	19	,	,	PUNCT
aiti-8492	290	20	“	"	PUNCT
aiti-8492	290	21	internal	internal	ADJ
aiti-8492	290	22	and	and	CCONJ
aiti-8492	290	23	external	external	ADJ
aiti-8492	290	24	validity	validity	NOUN
aiti-8492	290	25	of	of	ADP
aiti-8492	290	26	cluster	cluster	NOUN
aiti-8492	290	27	randomised	randomise	VERB
aiti-8492	290	28	trials	trial	NOUN
aiti-8492	290	29	:	:	PUNCT
aiti-8492	290	30	systematic	systematic	ADJ
aiti-8492	290	31	review	review	NOUN
aiti-8492	290	32	of	of	ADP
aiti-8492	290	33	recent	recent	ADJ
aiti-8492	290	34	trials	trial	NOUN
aiti-8492	290	35	,	,	PUNCT
aiti-8492	290	36	”	"	PUNCT
aiti-8492	290	37	british	british	PROPN
aiti-8492	290	38	medical	medical	ADJ
aiti-8492	290	39	journal	journal	PROPN
aiti-8492	290	40	,	,	PUNCT
aiti-8492	290	41	vol	vol	NOUN
aiti-8492	290	42	.	.	PROPN
aiti-8492	290	43	336	336	NUM
aiti-8492	290	44	,	,	PUNCT
aiti-8492	290	45	876	876	NUM
aiti-8492	290	46	,	,	PUNCT
aiti-8492	290	47	april	april	PROPN
aiti-8492	290	48	2008	2008	NUM
aiti-8492	290	49	.	.	PUNCT
aiti-8492	291	1	[	[	X
aiti-8492	291	2	32	32	NUM
aiti-8492	291	3	]	]	PUNCT
aiti-8492	291	4	m.	m.	NOUN
aiti-8492	291	5	rezaei	rezaei	NOUN
aiti-8492	291	6	and	and	CCONJ
aiti-8492	291	7	p.	p.	PROPN
aiti-8492	291	8	fränti	fränti	PROPN
aiti-8492	291	9	,	,	PUNCT
aiti-8492	291	10	“	"	PUNCT
aiti-8492	291	11	set	set	VERB
aiti-8492	291	12	matching	matching	NOUN
aiti-8492	291	13	measures	measure	NOUN
aiti-8492	291	14	for	for	ADP
aiti-8492	291	15	external	external	ADJ
aiti-8492	291	16	cluster	cluster	NOUN
aiti-8492	291	17	validity	validity	NOUN
aiti-8492	291	18	,	,	PUNCT
aiti-8492	291	19	”	"	PUNCT
aiti-8492	291	20	ieee	ieee	NOUN
aiti-8492	291	21	transactions	transaction	NOUN
aiti-8492	291	22	on	on	ADP
aiti-8492	291	23	knowledge	knowledge	NOUN
aiti-8492	291	24	and	and	CCONJ
aiti-8492	291	25	data	datum	NOUN
aiti-8492	291	26	engineering	engineering	NOUN
aiti-8492	291	27	,	,	PUNCT
aiti-8492	291	28	vol	vol	NOUN
aiti-8492	291	29	.	.	PROPN
aiti-8492	291	30	28	28	NUM
aiti-8492	291	31	,	,	PUNCT
aiti-8492	291	32	no	no	INTJ
aiti-8492	291	33	.	.	NOUN
aiti-8492	291	34	8	8	NUM
aiti-8492	291	35	,	,	PUNCT
aiti-8492	291	36	pp	pp	ADJ
aiti-8492	291	37	.	.	PUNCT
aiti-8492	291	38	2173	2173	NUM
aiti-8492	291	39	-	-	SYM
aiti-8492	291	40	2186	2186	NUM
aiti-8492	291	41	,	,	PUNCT
aiti-8492	291	42	august	august	PROPN
aiti-8492	291	43	2016	2016	NUM
aiti-8492	291	44	.	.	PUNCT
aiti-8492	292	1	[	[	X
aiti-8492	292	2	33	33	NUM
aiti-8492	292	3	]	]	PUNCT
aiti-8492	292	4	x.	x.	NOUN
aiti-8492	292	5	li	li	PROPN
aiti-8492	292	6	,	,	PUNCT
aiti-8492	292	7	w.	w.	PROPN
aiti-8492	292	8	liang	liang	PROPN
aiti-8492	292	9	,	,	PUNCT
aiti-8492	292	10	x.	x.	PROPN
aiti-8492	292	11	zhang	zhang	PROPN
aiti-8492	292	12	,	,	PUNCT
aiti-8492	292	13	s.	s.	PROPN
aiti-8492	292	14	qing	qing	PROPN
aiti-8492	292	15	,	,	PUNCT
aiti-8492	292	16	and	and	CCONJ
aiti-8492	292	17	p.	p.	PROPN
aiti-8492	292	18	c.	c.	PROPN
aiti-8492	292	19	chang	chang	PROPN
aiti-8492	292	20	,	,	PUNCT
aiti-8492	292	21	“	"	PUNCT
aiti-8492	292	22	a	a	DET
aiti-8492	292	23	cluster	cluster	NOUN
aiti-8492	292	24	validity	validity	NOUN
aiti-8492	292	25	evaluation	evaluation	NOUN
aiti-8492	292	26	method	method	NOUN
aiti-8492	292	27	for	for	ADP
aiti-8492	292	28	dynamically	dynamically	ADV
aiti-8492	292	29	determining	determine	VERB
aiti-8492	292	30	the	the	DET
aiti-8492	292	31	near	near	ADV
aiti-8492	292	32	-	-	PUNCT
aiti-8492	292	33	optimal	optimal	ADJ
aiti-8492	292	34	number	number	NOUN
aiti-8492	292	35	of	of	ADP
aiti-8492	292	36	clusters	cluster	NOUN
aiti-8492	292	37	,	,	PUNCT
aiti-8492	292	38	”	"	PUNCT
aiti-8492	292	39	soft	soft	ADJ
aiti-8492	292	40	computing	computing	NOUN
aiti-8492	292	41	,	,	PUNCT
aiti-8492	292	42	vol	vol	NOUN
aiti-8492	292	43	.	.	PROPN
aiti-8492	292	44	24	24	NUM
aiti-8492	292	45	,	,	PUNCT
aiti-8492	292	46	no	no	INTJ
aiti-8492	292	47	.	.	NOUN
aiti-8492	292	48	12	12	NUM
aiti-8492	292	49	,	,	PUNCT
aiti-8492	292	50	pp	pp	ADJ
aiti-8492	292	51	.	.	PUNCT
aiti-8492	293	1	9227	9227	NUM
aiti-8492	293	2	-	-	SYM
aiti-8492	293	3	9241	9241	NUM
aiti-8492	293	4	,	,	PUNCT
aiti-8492	293	5	2020	2020	NUM
aiti-8492	293	6	.	.	PUNCT
aiti-8492	294	1	[	[	X
aiti-8492	294	2	34	34	NUM
aiti-8492	294	3	]	]	PUNCT
aiti-8492	294	4	s.	s.	PROPN
aiti-8492	294	5	s.	s.	PROPN
aiti-8492	294	6	kumar	kumar	PROPN
aiti-8492	294	7	,	,	PUNCT
aiti-8492	294	8	s.	s.	PROPN
aiti-8492	294	9	t.	t.	PROPN
aiti-8492	294	10	ahmed	ahmed	PROPN
aiti-8492	294	11	,	,	PUNCT
aiti-8492	294	12	p.	p.	PROPN
aiti-8492	294	13	vigneshwaran	vigneshwaran	PROPN
aiti-8492	294	14	,	,	PUNCT
aiti-8492	294	15	h.	h.	PROPN
aiti-8492	294	16	sandeep	sandeep	PROPN
aiti-8492	294	17	,	,	PUNCT
aiti-8492	294	18	and	and	CCONJ
aiti-8492	294	19	h.	h.	PROPN
aiti-8492	294	20	m.	m.	PROPN
aiti-8492	294	21	singh	singh	PROPN
aiti-8492	294	22	,	,	PUNCT
aiti-8492	294	23	“	"	PUNCT
aiti-8492	294	24	two	two	NUM
aiti-8492	294	25	phase	phase	NOUN
aiti-8492	294	26	cluster	cluster	NOUN
aiti-8492	294	27	validation	validation	NOUN
aiti-8492	294	28	approach	approach	NOUN
aiti-8492	294	29	towards	towards	ADP
aiti-8492	294	30	measuring	measure	VERB
aiti-8492	294	31	cluster	cluster	NOUN
aiti-8492	294	32	quality	quality	NOUN
aiti-8492	294	33	in	in	ADP
aiti-8492	294	34	unstructured	unstructured	ADJ
aiti-8492	294	35	and	and	CCONJ
aiti-8492	294	36	structured	structured	ADJ
aiti-8492	294	37	numerical	numerical	ADJ
aiti-8492	294	38	datasets	dataset	NOUN
aiti-8492	294	39	,	,	PUNCT
aiti-8492	294	40	”	"	PUNCT
aiti-8492	294	41	journal	journal	NOUN
aiti-8492	294	42	of	of	ADP
aiti-8492	294	43	ambient	ambient	ADJ
aiti-8492	294	44	intelligence	intelligence	NOUN
aiti-8492	294	45	and	and	CCONJ
aiti-8492	294	46	humanized	humanize	VERB
aiti-8492	294	47	computing	computing	NOUN
aiti-8492	294	48	,	,	PUNCT
aiti-8492	294	49	vol	vol	NOUN
aiti-8492	294	50	.	.	PROPN
aiti-8492	294	51	12	12	NUM
aiti-8492	294	52	,	,	PUNCT
aiti-8492	294	53	no	no	INTJ
aiti-8492	294	54	.	.	NOUN
aiti-8492	294	55	7	7	NUM
aiti-8492	294	56	,	,	PUNCT
aiti-8492	294	57	pp	pp	ADJ
aiti-8492	294	58	.	.	PUNCT
aiti-8492	295	1	7581	7581	NUM
aiti-8492	295	2	-	-	SYM
aiti-8492	295	3	7594	7594	NUM
aiti-8492	295	4	,	,	PUNCT
aiti-8492	295	5	2021	2021	NUM
aiti-8492	295	6	.	.	PUNCT
aiti-8492	296	1	[	[	X
aiti-8492	296	2	35	35	NUM
aiti-8492	296	3	]	]	X
aiti-8492	296	4	c.	c.	PROPN
aiti-8492	296	5	a.	a.	PROPN
aiti-8492	296	6	lipscomb	lipscomb	PROPN
aiti-8492	296	7	and	and	CCONJ
aiti-8492	296	8	m.	m.	PROPN
aiti-8492	296	9	c.	c.	PROPN
aiti-8492	296	10	farmer	farmer	PROPN
aiti-8492	296	11	,	,	PUNCT
aiti-8492	296	12	“	"	PUNCT
aiti-8492	296	13	household	household	NOUN
aiti-8492	296	14	diversity	diversity	NOUN
aiti-8492	296	15	and	and	CCONJ
aiti-8492	296	16	market	market	NOUN
aiti-8492	296	17	segmentation	segmentation	NOUN
aiti-8492	296	18	within	within	ADP
aiti-8492	296	19	a	a	DET
aiti-8492	296	20	single	single	ADJ
aiti-8492	296	21	neighborhood	neighborhood	NOUN
aiti-8492	296	22	,	,	PUNCT
aiti-8492	296	23	”	"	PUNCT
aiti-8492	296	24	the	the	DET
aiti-8492	296	25	annals	annal	NOUN
aiti-8492	296	26	of	of	ADP
aiti-8492	296	27	regional	regional	ADJ
aiti-8492	296	28	science	science	NOUN
aiti-8492	296	29	,	,	PUNCT
aiti-8492	296	30	vol	vol	NOUN
aiti-8492	296	31	.	.	PROPN
aiti-8492	296	32	39	39	NUM
aiti-8492	296	33	,	,	PUNCT
aiti-8492	296	34	no	no	INTJ
aiti-8492	296	35	.	.	NOUN
aiti-8492	296	36	4	4	NUM
aiti-8492	296	37	,	,	PUNCT
aiti-8492	296	38	pp	pp	ADJ
aiti-8492	296	39	.	.	PUNCT
aiti-8492	297	1	791	791	NUM
aiti-8492	297	2	-	-	SYM
aiti-8492	297	3	810	810	NUM
aiti-8492	297	4	,	,	PUNCT
aiti-8492	297	5	december	december	PROPN
aiti-8492	297	6	2005	2005	NUM
aiti-8492	297	7	.	.	PUNCT
aiti-8492	298	1	[	[	X
aiti-8492	298	2	36	36	NUM
aiti-8492	298	3	]	]	X
aiti-8492	298	4	y.	y.	PROPN
aiti-8492	298	5	tu	tu	PROPN
aiti-8492	298	6	,	,	PUNCT
aiti-8492	298	7	h.	h.	PROPN
aiti-8492	298	8	sun	sun	PROPN
aiti-8492	298	9	,	,	PUNCT
aiti-8492	298	10	and	and	CCONJ
aiti-8492	298	11	s.	s.	PROPN
aiti-8492	298	12	m.	m.	PROPN
aiti-8492	298	13	yu	yu	PROPN
aiti-8492	298	14	,	,	PUNCT
aiti-8492	298	15	“	"	PUNCT
aiti-8492	298	16	spatial	spatial	ADJ
aiti-8492	298	17	autocorrelations	autocorrelation	NOUN
aiti-8492	298	18	and	and	CCONJ
aiti-8492	298	19	urban	urban	ADJ
aiti-8492	298	20	housing	housing	NOUN
aiti-8492	298	21	market	market	NOUN
aiti-8492	298	22	segmentation	segmentation	NOUN
aiti-8492	298	23	,	,	PUNCT
aiti-8492	298	24	”	"	PUNCT
aiti-8492	298	25	the	the	DET
aiti-8492	298	26	journal	journal	NOUN
aiti-8492	298	27	of	of	ADP
aiti-8492	298	28	real	real	ADJ
aiti-8492	298	29	estate	estate	NOUN
aiti-8492	298	30	finance	finance	NOUN
aiti-8492	298	31	and	and	CCONJ
aiti-8492	298	32	economics	economic	NOUN
aiti-8492	298	33	,	,	PUNCT
aiti-8492	298	34	vol	vol	NOUN
aiti-8492	298	35	.	.	PROPN
aiti-8492	298	36	34	34	NUM
aiti-8492	298	37	,	,	PUNCT
aiti-8492	298	38	no	no	INTJ
aiti-8492	298	39	.	.	NOUN
aiti-8492	298	40	3	3	NUM
aiti-8492	298	41	,	,	PUNCT
aiti-8492	298	42	pp	pp	ADJ
aiti-8492	298	43	.	.	PUNCT
aiti-8492	299	1	385	385	NUM
aiti-8492	299	2	-	-	SYM
aiti-8492	299	3	406	406	NUM
aiti-8492	299	4	,	,	PUNCT
aiti-8492	299	5	2007	2007	NUM
aiti-8492	299	6	.	.	PUNCT
aiti-8492	300	1	[	[	X
aiti-8492	300	2	37	37	NUM
aiti-8492	300	3	]	]	PUNCT
aiti-8492	300	4	z.	z.	PROPN
aiti-8492	300	5	liu	liu	PROPN
aiti-8492	300	6	,	,	PUNCT
aiti-8492	300	7	j.	j.	PROPN
aiti-8492	300	8	cao	cao	PROPN
aiti-8492	300	9	,	,	PUNCT
aiti-8492	300	10	r.	r.	PROPN
aiti-8492	300	11	xie	xie	PROPN
aiti-8492	300	12	,	,	PUNCT
aiti-8492	300	13	j.	j.	PROPN
aiti-8492	300	14	yang	yang	PROPN
aiti-8492	300	15	,	,	PUNCT
aiti-8492	300	16	and	and	CCONJ
aiti-8492	300	17	q.	q.	PROPN
aiti-8492	300	18	wang	wang	PROPN
aiti-8492	300	19	,	,	PUNCT
aiti-8492	300	20	“	"	PUNCT
aiti-8492	300	21	modeling	model	VERB
aiti-8492	300	22	submarket	submarket	NOUN
aiti-8492	300	23	effect	effect	NOUN
aiti-8492	300	24	for	for	ADP
aiti-8492	300	25	real	real	ADJ
aiti-8492	300	26	estate	estate	NOUN
aiti-8492	300	27	hedonic	hedonic	ADJ
aiti-8492	300	28	valuation	valuation	NOUN
aiti-8492	300	29	:	:	PUNCT
aiti-8492	300	30	a	a	DET
aiti-8492	300	31	probabilistic	probabilistic	ADJ
aiti-8492	300	32	approach	approach	NOUN
aiti-8492	300	33	,	,	PUNCT
aiti-8492	300	34	”	"	PUNCT
aiti-8492	300	35	ieee	ieee	NOUN
aiti-8492	300	36	transactions	transaction	NOUN
aiti-8492	300	37	on	on	ADP
aiti-8492	300	38	knowledge	knowledge	NOUN
aiti-8492	300	39	and	and	CCONJ
aiti-8492	300	40	data	datum	NOUN
aiti-8492	300	41	engineering	engineering	NOUN
aiti-8492	300	42	,	,	PUNCT
aiti-8492	300	43	vol	vol	NOUN
aiti-8492	300	44	.	.	PROPN
aiti-8492	300	45	33	33	NUM
aiti-8492	300	46	,	,	PUNCT
aiti-8492	300	47	no	no	INTJ
aiti-8492	300	48	.	.	NOUN
aiti-8492	300	49	7	7	NUM
aiti-8492	300	50	,	,	PUNCT
aiti-8492	300	51	pp	pp	ADJ
aiti-8492	300	52	.	.	PUNCT
aiti-8492	301	1	2943	2943	NUM
aiti-8492	301	2	-	-	SYM
aiti-8492	301	3	2955	2955	NUM
aiti-8492	301	4	,	,	PUNCT
aiti-8492	301	5	july	july	PROPN
aiti-8492	301	6	2021	2021	NUM
aiti-8492	301	7	.	.	PUNCT
aiti-8492	302	1	[	[	X
aiti-8492	302	2	38	38	NUM
aiti-8492	302	3	]	]	PUNCT
aiti-8492	302	4	kostat	kostat	NOUN
aiti-8492	302	5	,	,	PUNCT
aiti-8492	302	6	“	"	PUNCT
aiti-8492	302	7	statistics	statistics	PROPN
aiti-8492	302	8	korea	korea	PROPN
aiti-8492	302	9	:	:	PUNCT
aiti-8492	302	10	population	population	NOUN
aiti-8492	302	11	and	and	CCONJ
aiti-8492	302	12	households	household	NOUN
aiti-8492	302	13	,	,	PUNCT
aiti-8492	302	14	”	"	PUNCT
aiti-8492	302	15	http://kostat.go.kr/portal/eng/pressreleases/8/1/index.board	http://kostat.go.kr/portal/eng/pressreleases/8/1/index.board	ADJ
aiti-8492	302	16	,	,	PUNCT
aiti-8492	302	17	2020	2020	NUM
aiti-8492	302	18	.	.	PUNCT
aiti-8492	303	1	[	[	X
aiti-8492	303	2	39	39	NUM
aiti-8492	303	3	]	]	PUNCT
aiti-8492	303	4	a.	a.	NOUN
aiti-8492	303	5	koul	koul	PROPN
aiti-8492	303	6	,	,	PUNCT
aiti-8492	303	7	s.	s.	PROPN
aiti-8492	303	8	ganju	ganju	PROPN
aiti-8492	303	9	,	,	PUNCT
aiti-8492	303	10	and	and	CCONJ
aiti-8492	303	11	m.	m.	PROPN
aiti-8492	303	12	kasam	kasam	PROPN
aiti-8492	303	13	,	,	PUNCT
aiti-8492	303	14	practical	practical	ADJ
aiti-8492	303	15	deep	deep	ADJ
aiti-8492	303	16	learning	learning	NOUN
aiti-8492	303	17	for	for	ADP
aiti-8492	303	18	cloud	cloud	ADJ
aiti-8492	303	19	,	,	PUNCT
aiti-8492	303	20	mobile	mobile	ADJ
aiti-8492	303	21	,	,	PUNCT
aiti-8492	303	22	and	and	CCONJ
aiti-8492	303	23	edge	edge	NOUN
aiti-8492	303	24	:	:	PUNCT
aiti-8492	303	25	real	real	ADJ
aiti-8492	303	26	-	-	PUNCT
aiti-8492	303	27	world	world	NOUN
aiti-8492	303	28	ai	ai	NOUN
aiti-8492	303	29	and	and	CCONJ
aiti-8492	303	30	computer	computer	NOUN
aiti-8492	303	31	-	-	PUNCT
aiti-8492	303	32	vision	vision	NOUN
aiti-8492	303	33	projects	project	NOUN
aiti-8492	303	34	using	use	VERB
aiti-8492	303	35	python	python	PROPN
aiti-8492	303	36	,	,	PUNCT
aiti-8492	303	37	keras	keras	PROPN
aiti-8492	303	38	,	,	PUNCT
aiti-8492	303	39	and	and	CCONJ
aiti-8492	303	40	tensorflow	tensorflow	NOUN
aiti-8492	303	41	,	,	PUNCT
aiti-8492	303	42	sebastopol	sebastopol	NOUN
aiti-8492	303	43	:	:	PUNCT
aiti-8492	303	44	o’reilly	o’reilly	ADV
aiti-8492	303	45	media	medium	NOUN
aiti-8492	303	46	,	,	PUNCT
aiti-8492	303	47	2019	2019	NUM
aiti-8492	303	48	.	.	PUNCT
aiti-8492	304	1	[	[	X
aiti-8492	304	2	40	40	NUM
aiti-8492	304	3	]	]	PUNCT
aiti-8492	304	4	a.	a.	NOUN
aiti-8492	304	5	struyf	struyf	PROPN
aiti-8492	304	6	,	,	PUNCT
aiti-8492	304	7	m.	m.	PROPN
aiti-8492	304	8	hubert	hubert	PROPN
aiti-8492	304	9	,	,	PUNCT
aiti-8492	304	10	and	and	CCONJ
aiti-8492	304	11	p.	p.	NOUN
aiti-8492	304	12	rousseeuw	rousseeuw	PROPN
aiti-8492	304	13	,	,	PUNCT
aiti-8492	304	14	“	"	PUNCT
aiti-8492	304	15	clustering	cluster	VERB
aiti-8492	304	16	in	in	ADP
aiti-8492	304	17	an	an	DET
aiti-8492	304	18	object	object	NOUN
aiti-8492	304	19	-	-	PUNCT
aiti-8492	304	20	oriented	orient	VERB
aiti-8492	304	21	environment	environment	NOUN
aiti-8492	304	22	,	,	PUNCT
aiti-8492	304	23	”	"	PUNCT
aiti-8492	304	24	journal	journal	NOUN
aiti-8492	304	25	of	of	ADP
aiti-8492	304	26	statistical	statistical	ADJ
aiti-8492	304	27	software	software	NOUN
aiti-8492	304	28	,	,	PUNCT
aiti-8492	304	29	vol	vol	NOUN
aiti-8492	304	30	.	.	PROPN
aiti-8492	304	31	1	1	NUM
aiti-8492	304	32	,	,	PUNCT
aiti-8492	304	33	no	no	INTJ
aiti-8492	304	34	.	.	NOUN
aiti-8492	304	35	4	4	NUM
aiti-8492	304	36	,	,	PUNCT
aiti-8492	304	37	pp	pp	ADJ
aiti-8492	304	38	.	.	PUNCT
aiti-8492	305	1	1	1	NUM
aiti-8492	305	2	-	-	SYM
aiti-8492	305	3	30	30	NUM
aiti-8492	305	4	,	,	PUNCT
aiti-8492	305	5	february	february	NOUN
aiti-8492	305	6	1997	1997	NUM
aiti-8492	305	7	.	.	PUNCT
aiti-8492	306	1	[	[	X
aiti-8492	306	2	41	41	NUM
aiti-8492	306	3	]	]	X
aiti-8492	306	4	l.	l.	PROPN
aiti-8492	306	5	kaufman	kaufman	PROPN
aiti-8492	306	6	and	and	CCONJ
aiti-8492	306	7	p.	p.	PROPN
aiti-8492	306	8	j.	j.	PROPN
aiti-8492	306	9	rousseeuw	rousseeuw	PROPN
aiti-8492	306	10	,	,	PUNCT
aiti-8492	306	11	finding	find	VERB
aiti-8492	306	12	groups	group	NOUN
aiti-8492	306	13	in	in	ADP
aiti-8492	306	14	data	datum	NOUN
aiti-8492	306	15	:	:	PUNCT
aiti-8492	306	16	an	an	DET
aiti-8492	306	17	introduction	introduction	NOUN
aiti-8492	306	18	to	to	PART
aiti-8492	306	19	cluster	cluster	NOUN
aiti-8492	306	20	analysis	analysis	NOUN
aiti-8492	306	21	,	,	PUNCT
aiti-8492	306	22	hoboken	hoboken	PROPN
aiti-8492	306	23	:	:	PUNCT
aiti-8492	306	24	john	john	PROPN
aiti-8492	306	25	wiley	wiley	PROPN
aiti-8492	306	26	&	&	CCONJ
aiti-8492	306	27	sons	son	NOUN
aiti-8492	306	28	,	,	PUNCT
aiti-8492	306	29	2009	2009	NUM
aiti-8492	306	30	.	.	PUNCT
aiti-8492	307	1	[	[	X
aiti-8492	307	2	42	42	NUM
aiti-8492	307	3	]	]	PUNCT
aiti-8492	307	4	s.	s.	PROPN
aiti-8492	307	5	c.	c.	PROPN
aiti-8492	307	6	bourassa	bourassa	PROPN
aiti-8492	307	7	,	,	PUNCT
aiti-8492	307	8	f.	f.	PROPN
aiti-8492	307	9	hamelink	hamelink	PROPN
aiti-8492	307	10	,	,	PUNCT
aiti-8492	307	11	m.	m.	NOUN
aiti-8492	307	12	hoesli	hoesli	NOUN
aiti-8492	307	13	,	,	PUNCT
aiti-8492	307	14	and	and	CCONJ
aiti-8492	307	15	b.	b.	PROPN
aiti-8492	307	16	d.	d.	PROPN
aiti-8492	307	17	macgregor	macgregor	PROPN
aiti-8492	307	18	,	,	PUNCT
aiti-8492	307	19	“	"	PUNCT
aiti-8492	307	20	defining	define	VERB
aiti-8492	307	21	housing	housing	NOUN
aiti-8492	307	22	submarkets	submarket	NOUN
aiti-8492	307	23	,	,	PUNCT
aiti-8492	307	24	”	"	PUNCT
aiti-8492	307	25	journal	journal	NOUN
aiti-8492	307	26	of	of	ADP
aiti-8492	307	27	housing	housing	NOUN
aiti-8492	307	28	economics	economic	NOUN
aiti-8492	307	29	,	,	PUNCT
aiti-8492	307	30	vol	vol	NOUN
aiti-8492	307	31	.	.	PROPN
aiti-8492	307	32	8	8	NUM
aiti-8492	307	33	,	,	PUNCT
aiti-8492	307	34	no	no	INTJ
aiti-8492	307	35	.	.	NOUN
aiti-8492	307	36	2	2	NUM
aiti-8492	307	37	,	,	PUNCT
aiti-8492	307	38	pp	pp	ADJ
aiti-8492	307	39	.	.	PUNCT
aiti-8492	308	1	160	160	NUM
aiti-8492	308	2	-	-	SYM
aiti-8492	308	3	183	183	NUM
aiti-8492	308	4	,	,	PUNCT
aiti-8492	308	5	june	june	PROPN
aiti-8492	308	6	1999	1999	NUM
aiti-8492	308	7	.	.	PUNCT
aiti-8492	309	1	[	[	X
aiti-8492	309	2	43	43	NUM
aiti-8492	309	3	]	]	X
aiti-8492	309	4	s.	s.	PROPN
aiti-8492	309	5	rosen	rosen	PROPN
aiti-8492	309	6	,	,	PUNCT
aiti-8492	309	7	“	"	PUNCT
aiti-8492	309	8	hedonic	hedonic	ADJ
aiti-8492	309	9	prices	price	NOUN
aiti-8492	309	10	and	and	CCONJ
aiti-8492	309	11	implicit	implicit	ADJ
aiti-8492	309	12	markets	market	NOUN
aiti-8492	309	13	:	:	PUNCT
aiti-8492	309	14	product	product	NOUN
aiti-8492	309	15	differentiation	differentiation	NOUN
aiti-8492	309	16	in	in	ADP
aiti-8492	309	17	pure	pure	ADJ
aiti-8492	309	18	competition	competition	NOUN
aiti-8492	309	19	,	,	PUNCT
aiti-8492	309	20	”	"	PUNCT
aiti-8492	309	21	journal	journal	NOUN
aiti-8492	309	22	of	of	ADP
aiti-8492	309	23	political	political	ADJ
aiti-8492	309	24	economy	economy	NOUN
aiti-8492	309	25	,	,	PUNCT
aiti-8492	309	26	vol	vol	NOUN
aiti-8492	309	27	.	.	PROPN
aiti-8492	310	1	82	82	NUM
aiti-8492	310	2	,	,	PUNCT
aiti-8492	310	3	no	no	INTJ
aiti-8492	310	4	.	.	NOUN
aiti-8492	310	5	1	1	NUM
aiti-8492	310	6	,	,	PUNCT
aiti-8492	310	7	pp	pp	ADJ
aiti-8492	310	8	.	.	PUNCT
aiti-8492	311	1	34	34	NUM
aiti-8492	311	2	-	-	SYM
aiti-8492	311	3	55	55	NUM
aiti-8492	311	4	,	,	PUNCT
aiti-8492	311	5	january	january	PROPN
aiti-8492	311	6	-	-	PUNCT
aiti-8492	311	7	february	february	PROPN
aiti-8492	311	8	,	,	PUNCT
aiti-8492	311	9	1974	1974	NUM
aiti-8492	311	10	.	.	PUNCT
aiti-8492	312	1	[	[	X
aiti-8492	312	2	44	44	NUM
aiti-8492	312	3	]	]	PUNCT
aiti-8492	312	4	s.	s.	PROPN
aiti-8492	312	5	catma	catma	PROPN
aiti-8492	312	6	,	,	PUNCT
aiti-8492	312	7	“	"	PUNCT
aiti-8492	312	8	the	the	DET
aiti-8492	312	9	price	price	NOUN
aiti-8492	312	10	of	of	ADP
aiti-8492	312	11	coastal	coastal	ADJ
aiti-8492	312	12	erosion	erosion	NOUN
aiti-8492	312	13	and	and	CCONJ
aiti-8492	312	14	flood	flood	NOUN
aiti-8492	312	15	risk	risk	NOUN
aiti-8492	312	16	:	:	PUNCT
aiti-8492	312	17	a	a	DET
aiti-8492	312	18	hedonic	hedonic	ADJ
aiti-8492	312	19	pricing	pricing	NOUN
aiti-8492	312	20	approach	approach	NOUN
aiti-8492	312	21	,	,	PUNCT
aiti-8492	312	22	”	"	PUNCT
aiti-8492	312	23	oceans	ocean	NOUN
aiti-8492	312	24	,	,	PUNCT
aiti-8492	312	25	vol	vol	NOUN
aiti-8492	312	26	.	.	PROPN
aiti-8492	313	1	2	2	NUM
aiti-8492	313	2	,	,	PUNCT
aiti-8492	313	3	no	no	INTJ
aiti-8492	313	4	.	.	NOUN
aiti-8492	313	5	1	1	NUM
aiti-8492	313	6	,	,	PUNCT
aiti-8492	313	7	pp	pp	ADJ
aiti-8492	313	8	.	.	PUNCT
aiti-8492	314	1	149	149	NUM
aiti-8492	314	2	-	-	SYM
aiti-8492	314	3	161	161	NUM
aiti-8492	314	4	,	,	PUNCT
aiti-8492	314	5	march	march	NOUN
aiti-8492	314	6	2021	2021	NUM
aiti-8492	314	7	.	.	PUNCT
aiti-8492	315	1	[	[	X
aiti-8492	315	2	45	45	NUM
aiti-8492	315	3	]	]	PUNCT
aiti-8492	315	4	p.	p.	NOUN
aiti-8492	315	5	m.	m.	PROPN
aiti-8492	315	6	campos	campos	PROPN
aiti-8492	315	7	,	,	PUNCT
aiti-8492	315	8	j.	j.	PROPN
aiti-8492	315	9	s.	s.	PROPN
aiti-8492	315	10	thompson	thompson	PROPN
aiti-8492	315	11	,	,	PUNCT
aiti-8492	315	12	and	and	CCONJ
aiti-8492	315	13	j.	j.	PROPN
aiti-8492	315	14	p.	p.	PROPN
aiti-8492	315	15	molina	molina	PROPN
aiti-8492	315	16	,	,	PUNCT
aiti-8492	315	17	“	"	PUNCT
aiti-8492	315	18	effect	effect	NOUN
aiti-8492	315	19	of	of	ADP
aiti-8492	315	20	irrigation	irrigation	NOUN
aiti-8492	315	21	water	water	NOUN
aiti-8492	315	22	availability	availability	NOUN
aiti-8492	315	23	on	on	ADP
aiti-8492	315	24	the	the	DET
aiti-8492	315	25	value	value	NOUN
aiti-8492	315	26	of	of	ADP
aiti-8492	315	27	agricultural	agricultural	ADJ
aiti-8492	315	28	land	land	NOUN
aiti-8492	315	29	in	in	ADP
aiti-8492	315	30	guanacaste	guanacaste	PROPN
aiti-8492	315	31	,	,	PUNCT
aiti-8492	315	32	costa	costa	PROPN
aiti-8492	315	33	rica	rica	PROPN
aiti-8492	315	34	:	:	PUNCT
aiti-8492	315	35	a	a	DET
aiti-8492	315	36	hedonic	hedonic	ADJ
aiti-8492	315	37	pricing	pricing	NOUN
aiti-8492	315	38	approach	approach	NOUN
aiti-8492	315	39	,	,	PUNCT
aiti-8492	315	40	”	"	PUNCT
aiti-8492	315	41	e	e	NOUN
aiti-8492	315	42	-	-	NOUN
aiti-8492	315	43	agronegocios	agronegocios	ADJ
aiti-8492	315	44	,	,	PUNCT
aiti-8492	315	45	vol	vol	NOUN
aiti-8492	315	46	.	.	PROPN
aiti-8492	315	47	7	7	NUM
aiti-8492	315	48	,	,	PUNCT
aiti-8492	315	49	no	no	INTJ
aiti-8492	315	50	.	.	NOUN
aiti-8492	315	51	1	1	NUM
aiti-8492	315	52	,	,	PUNCT
aiti-8492	315	53	pp	pp	ADJ
aiti-8492	315	54	.	.	PUNCT
aiti-8492	316	1	38	38	NUM
aiti-8492	316	2	-	-	SYM
aiti-8492	316	3	55	55	NUM
aiti-8492	316	4	,	,	PUNCT
aiti-8492	316	5	2020	2020	NUM
aiti-8492	316	6	.	.	PUNCT
aiti-8492	317	1	[	[	X
aiti-8492	317	2	46	46	NUM
aiti-8492	317	3	]	]	X
aiti-8492	317	4	d.	d.	PROPN
aiti-8492	317	5	wackerly	wackerly	ADV
aiti-8492	317	6	,	,	PUNCT
aiti-8492	317	7	w.	w.	PROPN
aiti-8492	317	8	mendenhall	mendenhall	PROPN
aiti-8492	317	9	,	,	PUNCT
aiti-8492	317	10	and	and	CCONJ
aiti-8492	317	11	r.	r.	PROPN
aiti-8492	317	12	l.	l.	PROPN
aiti-8492	317	13	scheaffer	scheaffer	PROPN
aiti-8492	317	14	,	,	PUNCT
aiti-8492	317	15	mathematical	mathematical	ADJ
aiti-8492	317	16	statistics	statistic	NOUN
aiti-8492	317	17	with	with	ADP
aiti-8492	317	18	applications	application	NOUN
aiti-8492	317	19	,	,	PUNCT
aiti-8492	317	20	belmont	belmont	PROPN
aiti-8492	317	21	:	:	PUNCT
aiti-8492	317	22	cengage	cengage	PROPN
aiti-8492	317	23	learning	learning	PROPN
aiti-8492	317	24	,	,	PUNCT
aiti-8492	317	25	2014	2014	NUM
aiti-8492	317	26	.	.	PUNCT
aiti-8492	318	1	copyright	copyright	NOUN
aiti-8492	318	2	©	©	PROPN
aiti-8492	318	3	by	by	ADP
aiti-8492	318	4	the	the	DET
aiti-8492	318	5	authors	author	NOUN
aiti-8492	318	6	.	.	PUNCT
aiti-8492	319	1	licensee	licensee	PROPN
aiti-8492	319	2	taeti	taeti	PROPN
aiti-8492	319	3	,	,	PUNCT
aiti-8492	319	4	taiwan	taiwan	PROPN
aiti-8492	319	5	.	.	PUNCT
aiti-8492	320	1	this	this	DET
aiti-8492	320	2	article	article	NOUN
aiti-8492	320	3	is	be	AUX
aiti-8492	320	4	an	an	DET
aiti-8492	320	5	open	open	ADJ
aiti-8492	320	6	access	access	NOUN
aiti-8492	320	7	article	article	NOUN
aiti-8492	320	8	distributed	distribute	VERB
aiti-8492	320	9	under	under	ADP
aiti-8492	320	10	the	the	DET
aiti-8492	320	11	terms	term	NOUN
aiti-8492	320	12	and	and	CCONJ
aiti-8492	320	13	conditions	condition	NOUN
aiti-8492	320	14	of	of	ADP
aiti-8492	320	15	the	the	DET
aiti-8492	320	16	creative	creative	ADJ
aiti-8492	320	17	commons	common	NOUN
aiti-8492	320	18	attribution	attribution	NOUN
aiti-8492	320	19	(	(	PUNCT
aiti-8492	320	20	cc	cc	NOUN
aiti-8492	320	21	by	by	ADP
aiti-8492	320	22	-	-	PUNCT
aiti-8492	320	23	nc	nc	NOUN
aiti-8492	320	24	)	)	PUNCT
aiti-8492	320	25	license	license	NOUN
aiti-8492	320	26	(	(	PUNCT
aiti-8492	320	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-8492	320	28	)	)	PUNCT
aiti-8492	320	29	.	.	PUNCT
aiti-8492	321	1	40	40	NUM