id	sid	tid	token	lemma	pos
ajst-5049	1	1	academic	academic	ADJ
ajst-5049	1	2	journal	journal	NOUN
ajst-5049	1	3	of	of	ADP
ajst-5049	1	4	science	science	NOUN
ajst-5049	1	5	and	and	CCONJ
ajst-5049	1	6	technology	technology	NOUN
ajst-5049	1	7	issn	issn	NOUN
ajst-5049	1	8	:	:	PUNCT
ajst-5049	1	9	2771	2771	NUM
ajst-5049	1	10	-	-	SYM
ajst-5049	1	11	3032	3032	NUM
ajst-5049	1	12	|	|	NOUN
ajst-5049	1	13	vol	vol	NOUN
ajst-5049	1	14	.	.	PROPN
ajst-5049	2	1	4	4	NUM
ajst-5049	2	2	,	,	PUNCT
ajst-5049	2	3	no	no	INTJ
ajst-5049	2	4	.	.	NOUN
ajst-5049	2	5	3	3	NUM
ajst-5049	2	6	,	,	PUNCT
ajst-5049	2	7	2022	2022	NUM
ajst-5049	3	1	155	155	NUM
ajst-5049	3	2	clustering	clustering	ADJ
ajst-5049	3	3	analysis	analysis	NOUN
ajst-5049	3	4	of	of	ADP
ajst-5049	3	5	airport	airport	NOUN
ajst-5049	3	6	traffic	traffic	NOUN
ajst-5049	3	7	similar	similar	ADJ
ajst-5049	3	8	days	day	NOUN
ajst-5049	3	9	affected	affect	VERB
ajst-5049	3	10	by	by	ADP
ajst-5049	3	11	epidemic	epidemic	NOUN
ajst-5049	3	12	based	base	VERB
ajst-5049	3	13	on	on	ADP
ajst-5049	3	14	hi‐k‐means	hi‐k‐means	PROPN
ajst-5049	3	15	derui	derui	NOUN
ajst-5049	3	16	kong1	kong1	NOUN
ajst-5049	3	17	,	,	PUNCT
ajst-5049	3	18	a	a	PRON
ajst-5049	3	19	,	,	PUNCT
ajst-5049	3	20	manzhen	manzhen	PROPN
ajst-5049	3	21	duan1	duan1	PROPN
ajst-5049	3	22	,	,	PUNCT
ajst-5049	3	23	b	b	PROPN
ajst-5049	3	24	,	,	PUNCT
ajst-5049	3	25	ranran	ranran	ADJ
ajst-5049	3	26	shang1	shang1	PROPN
ajst-5049	3	27	,	,	PUNCT
ajst-5049	3	28	c	c	X
ajst-5049	3	29	,	,	PUNCT
ajst-5049	3	30	yinfeng	yinfeng	PROPN
ajst-5049	3	31	li1	li1	NOUN
ajst-5049	3	32	,	,	PUNCT
ajst-5049	3	33	d	d	PROPN
ajst-5049	3	34	1college	1college	NUM
ajst-5049	3	35	of	of	ADP
ajst-5049	3	36	civil	civil	ADJ
ajst-5049	3	37	and	and	CCONJ
ajst-5049	3	38	architectural	architectural	ADJ
ajst-5049	3	39	engineering	engineering	NOUN
ajst-5049	3	40	,	,	PUNCT
ajst-5049	3	41	north	north	PROPN
ajst-5049	3	42	china	china	PROPN
ajst-5049	3	43	university	university	PROPN
ajst-5049	3	44	of	of	ADP
ajst-5049	3	45	science	science	NOUN
ajst-5049	3	46	and	and	CCONJ
ajst-5049	3	47	technology	technology	NOUN
ajst-5049	3	48	,	,	PUNCT
ajst-5049	3	49	tangshan	tangshan	PROPN
ajst-5049	3	50	063210	063210	NUM
ajst-5049	3	51	,	,	PUNCT
ajst-5049	3	52	hebei	hebei	PROPN
ajst-5049	3	53	,	,	PUNCT
ajst-5049	3	54	china	china	PROPN
ajst-5049	3	55	a1243188378@qq.com	a1243188378@qq.com	PROPN
ajst-5049	3	56	,	,	PUNCT
ajst-5049	3	57	bmz06ss@ncst.edu.cn	bmz06ss@ncst.edu.cn	NOUN
ajst-5049	3	58	,	,	PUNCT
ajst-5049	3	59	c1334691069@qq.com	c1334691069@qq.com	X
ajst-5049	3	60	,	,	PUNCT
ajst-5049	3	61	dqzll6833@israelar.com	dqzll6833@israelar.com	X
ajst-5049	4	1	abstract	abstract	NOUN
ajst-5049	4	2	:	:	PUNCT
ajst-5049	4	3	during	during	ADP
ajst-5049	4	4	the	the	DET
ajst-5049	4	5	epidemic	epidemic	NOUN
ajst-5049	4	6	period	period	NOUN
ajst-5049	4	7	,	,	PUNCT
ajst-5049	4	8	the	the	DET
ajst-5049	4	9	daily	daily	ADJ
ajst-5049	4	10	traffic	traffic	NOUN
ajst-5049	4	11	fluctuation	fluctuation	NOUN
ajst-5049	4	12	of	of	ADP
ajst-5049	4	13	the	the	DET
ajst-5049	4	14	airport	airport	NOUN
ajst-5049	4	15	has	have	VERB
ajst-5049	4	16	a	a	DET
ajst-5049	4	17	strong	strong	ADJ
ajst-5049	4	18	correlation	correlation	NOUN
ajst-5049	4	19	with	with	ADP
ajst-5049	4	20	the	the	DET
ajst-5049	4	21	current	current	ADJ
ajst-5049	4	22	control	control	NOUN
ajst-5049	4	23	policy	policy	NOUN
ajst-5049	4	24	.	.	PUNCT
ajst-5049	5	1	the	the	DET
ajst-5049	5	2	analysis	analysis	NOUN
ajst-5049	5	3	of	of	ADP
ajst-5049	5	4	traffic	traffic	NOUN
ajst-5049	5	5	similar	similar	ADJ
ajst-5049	5	6	days	day	NOUN
ajst-5049	5	7	can	can	AUX
ajst-5049	5	8	provide	provide	VERB
ajst-5049	5	9	a	a	DET
ajst-5049	5	10	reference	reference	NOUN
ajst-5049	5	11	for	for	ADP
ajst-5049	5	12	the	the	DET
ajst-5049	5	13	optimization	optimization	NOUN
ajst-5049	5	14	of	of	ADP
ajst-5049	5	15	airport	airport	NOUN
ajst-5049	5	16	traffic	traffic	NOUN
ajst-5049	5	17	management	management	NOUN
ajst-5049	5	18	.	.	PUNCT
ajst-5049	6	1	aiming	aim	VERB
ajst-5049	6	2	at	at	ADP
ajst-5049	6	3	the	the	DET
ajst-5049	6	4	analysis	analysis	NOUN
ajst-5049	6	5	of	of	ADP
ajst-5049	6	6	traffic	traffic	NOUN
ajst-5049	6	7	similar	similar	ADJ
ajst-5049	6	8	days	day	NOUN
ajst-5049	6	9	,	,	PUNCT
ajst-5049	6	10	a	a	DET
ajst-5049	6	11	clustering	clustering	ADJ
ajst-5049	6	12	model	model	NOUN
ajst-5049	6	13	of	of	ADP
ajst-5049	6	14	traffic	traffic	NOUN
ajst-5049	6	15	similar	similar	ADJ
ajst-5049	6	16	days	day	NOUN
ajst-5049	6	17	based	base	VERB
ajst-5049	6	18	on	on	ADP
ajst-5049	6	19	hi	hi	PROPN
ajst-5049	6	20	-	-	PUNCT
ajst-5049	6	21	k	k	NOUN
ajst-5049	6	22	-	-	PUNCT
ajst-5049	6	23	means	means	NOUN
ajst-5049	6	24	(	(	PUNCT
ajst-5049	6	25	hierarchical	hierarchical	ADJ
ajst-5049	6	26	kmeans	kmean	NOUN
ajst-5049	6	27	clustering	cluster	VERB
ajst-5049	6	28	algorithm	algorithm	NOUN
ajst-5049	6	29	)	)	PUNCT
ajst-5049	6	30	is	be	AUX
ajst-5049	6	31	proposed	propose	VERB
ajst-5049	6	32	.	.	PUNCT
ajst-5049	7	1	this	this	DET
ajst-5049	7	2	algorithm	algorithm	NOUN
ajst-5049	7	3	combines	combine	VERB
ajst-5049	7	4	the	the	DET
ajst-5049	7	5	advantages	advantage	NOUN
ajst-5049	7	6	of	of	ADP
ajst-5049	7	7	hierarchical	hierarchical	ADJ
ajst-5049	7	8	clustering	clustering	NOUN
ajst-5049	7	9	and	and	CCONJ
ajst-5049	7	10	the	the	DET
ajst-5049	7	11	k	k	NOUN
ajst-5049	7	12	-	-	PUNCT
ajst-5049	7	13	means	mean	VERB
ajst-5049	7	14	clustering	cluster	VERB
ajst-5049	7	15	algorithm	algorithm	NOUN
ajst-5049	7	16	and	and	CCONJ
ajst-5049	7	17	makes	make	VERB
ajst-5049	7	18	up	up	ADP
ajst-5049	7	19	for	for	ADP
ajst-5049	7	20	the	the	DET
ajst-5049	7	21	defects	defect	NOUN
ajst-5049	7	22	of	of	ADP
ajst-5049	7	23	the	the	DET
ajst-5049	7	24	two	two	NUM
ajst-5049	7	25	algorithms	algorithm	NOUN
ajst-5049	7	26	.	.	PUNCT
ajst-5049	8	1	taking	take	VERB
ajst-5049	8	2	tianjin	tianjin	PROPN
ajst-5049	8	3	binhai	binhai	PROPN
ajst-5049	8	4	airport	airport	PROPN
ajst-5049	8	5	as	as	ADP
ajst-5049	8	6	an	an	DET
ajst-5049	8	7	example	example	NOUN
ajst-5049	8	8	,	,	PUNCT
ajst-5049	8	9	cluster	cluster	NOUN
ajst-5049	8	10	analysis	analysis	NOUN
ajst-5049	8	11	is	be	AUX
ajst-5049	8	12	carried	carry	VERB
ajst-5049	8	13	out	out	ADP
ajst-5049	8	14	.	.	PUNCT
ajst-5049	9	1	finally	finally	ADV
ajst-5049	9	2	,	,	PUNCT
ajst-5049	9	3	it	it	PRON
ajst-5049	9	4	is	be	AUX
ajst-5049	9	5	concluded	conclude	VERB
ajst-5049	9	6	that	that	SCONJ
ajst-5049	9	7	the	the	DET
ajst-5049	9	8	three	three	NUM
ajst-5049	9	9	types	type	NOUN
ajst-5049	9	10	of	of	ADP
ajst-5049	9	11	traffic	traffic	NOUN
ajst-5049	9	12	similar	similar	ADJ
ajst-5049	9	13	days	day	NOUN
ajst-5049	9	14	can	can	AUX
ajst-5049	9	15	better	well	ADV
ajst-5049	9	16	match	match	VERB
ajst-5049	9	17	the	the	DET
ajst-5049	9	18	daily	daily	ADJ
ajst-5049	9	19	traffic	traffic	NOUN
ajst-5049	9	20	under	under	ADP
ajst-5049	9	21	different	different	ADJ
ajst-5049	9	22	policies	policy	NOUN
ajst-5049	9	23	,	,	PUNCT
ajst-5049	9	24	indicating	indicate	VERB
ajst-5049	9	25	that	that	SCONJ
ajst-5049	9	26	the	the	DET
ajst-5049	9	27	model	model	NOUN
ajst-5049	9	28	has	have	VERB
ajst-5049	9	29	strong	strong	ADJ
ajst-5049	9	30	availability	availability	NOUN
ajst-5049	9	31	and	and	CCONJ
ajst-5049	9	32	high	high	ADJ
ajst-5049	9	33	accuracy	accuracy	NOUN
ajst-5049	9	34	.	.	PUNCT
ajst-5049	10	1	keywords	keyword	NOUN
ajst-5049	10	2	:	:	PUNCT
ajst-5049	10	3	similar	similar	ADJ
ajst-5049	10	4	day	day	NOUN
ajst-5049	10	5	,	,	PUNCT
ajst-5049	10	6	hierarchical	hierarchical	ADJ
ajst-5049	10	7	clustering	clustering	NOUN
ajst-5049	10	8	,	,	PUNCT
ajst-5049	10	9	k	k	NOUN
ajst-5049	10	10	-	-	PUNCT
ajst-5049	10	11	means	mean	NOUN
ajst-5049	10	12	,	,	PUNCT
ajst-5049	10	13	airport	airport	NOUN
ajst-5049	10	14	traffic	traffic	NOUN
ajst-5049	10	15	.	.	PUNCT
ajst-5049	11	1	1	1	X
ajst-5049	11	2	.	.	X
ajst-5049	11	3	introduction	introduction	NOUN
ajst-5049	11	4	as	as	ADP
ajst-5049	11	5	the	the	DET
ajst-5049	11	6	connecting	connect	VERB
ajst-5049	11	7	area	area	NOUN
ajst-5049	11	8	on	on	ADP
ajst-5049	11	9	both	both	DET
ajst-5049	11	10	sides	side	NOUN
ajst-5049	11	11	of	of	ADP
ajst-5049	11	12	the	the	DET
ajst-5049	11	13	air	air	NOUN
ajst-5049	11	14	and	and	CCONJ
ajst-5049	11	15	field	field	NOUN
ajst-5049	11	16	,	,	PUNCT
ajst-5049	11	17	the	the	DET
ajst-5049	11	18	airport	airport	NOUN
ajst-5049	11	19	has	have	VERB
ajst-5049	11	20	complex	complex	ADJ
ajst-5049	11	21	traffic	traffic	NOUN
ajst-5049	11	22	operations	operation	NOUN
ajst-5049	11	23	and	and	CCONJ
ajst-5049	11	24	a	a	DET
ajst-5049	11	25	large	large	ADJ
ajst-5049	11	26	control	control	NOUN
ajst-5049	11	27	workload[1	workload[1	NOUN
ajst-5049	11	28	]	]	PUNCT
ajst-5049	11	29	.	.	PUNCT
ajst-5049	12	1	to	to	PART
ajst-5049	12	2	improve	improve	VERB
ajst-5049	12	3	the	the	DET
ajst-5049	12	4	forward	forward	ADV
ajst-5049	12	5	-	-	PUNCT
ajst-5049	12	6	looking	look	VERB
ajst-5049	12	7	and	and	CCONJ
ajst-5049	12	8	predictive	predictive	ADJ
ajst-5049	12	9	ability	ability	NOUN
ajst-5049	12	10	of	of	ADP
ajst-5049	12	11	airport	airport	NOUN
ajst-5049	12	12	traffic	traffic	NOUN
ajst-5049	12	13	flow	flow	NOUN
ajst-5049	12	14	management	management	NOUN
ajst-5049	12	15	,	,	PUNCT
ajst-5049	12	16	the	the	DET
ajst-5049	12	17	future	future	ADJ
ajst-5049	12	18	traffic	traffic	NOUN
ajst-5049	12	19	flow	flow	NOUN
ajst-5049	12	20	trend	trend	NOUN
ajst-5049	12	21	can	can	AUX
ajst-5049	12	22	be	be	AUX
ajst-5049	12	23	determined	determine	VERB
ajst-5049	12	24	based	base	VERB
ajst-5049	12	25	on	on	ADP
ajst-5049	12	26	the	the	DET
ajst-5049	12	27	analysis	analysis	NOUN
ajst-5049	12	28	of	of	ADP
ajst-5049	12	29	the	the	DET
ajst-5049	12	30	airport	airport	NOUN
ajst-5049	12	31	’s	’s	PART
ajst-5049	12	32	historical	historical	ADJ
ajst-5049	12	33	traffic	traffic	NOUN
ajst-5049	12	34	flow	flow	NOUN
ajst-5049	12	35	.	.	PUNCT
ajst-5049	13	1	since	since	SCONJ
ajst-5049	13	2	2020	2020	NUM
ajst-5049	13	3	,	,	PUNCT
ajst-5049	13	4	the	the	DET
ajst-5049	13	5	novel	novel	ADJ
ajst-5049	13	6	coronavirus	coronavirus	NOUN
ajst-5049	13	7	epidemic	epidemic	NOUN
ajst-5049	13	8	has	have	AUX
ajst-5049	13	9	had	have	VERB
ajst-5049	13	10	a	a	DET
ajst-5049	13	11	profound	profound	ADJ
ajst-5049	13	12	and	and	CCONJ
ajst-5049	13	13	significant	significant	ADJ
ajst-5049	13	14	impact	impact	NOUN
ajst-5049	13	15	on	on	ADP
ajst-5049	13	16	transportation[2	transportation[2	NOUN
ajst-5049	13	17	-	-	SYM
ajst-5049	13	18	5	5	NUM
ajst-5049	13	19	]	]	PUNCT
ajst-5049	13	20	.	.	PUNCT
ajst-5049	14	1	due	due	ADP
ajst-5049	14	2	to	to	ADP
ajst-5049	14	3	the	the	DET
ajst-5049	14	4	changeable	changeable	ADJ
ajst-5049	14	5	traffic	traffic	NOUN
ajst-5049	14	6	control	control	NOUN
ajst-5049	14	7	policies	policy	NOUN
ajst-5049	14	8	during	during	ADP
ajst-5049	14	9	the	the	DET
ajst-5049	14	10	epidemic	epidemic	NOUN
ajst-5049	14	11	period	period	NOUN
ajst-5049	14	12	and	and	CCONJ
ajst-5049	14	13	the	the	DET
ajst-5049	14	14	rapid	rapid	ADJ
ajst-5049	14	15	changes	change	NOUN
ajst-5049	14	16	in	in	ADP
ajst-5049	14	17	airport	airport	NOUN
ajst-5049	14	18	traffic	traffic	NOUN
ajst-5049	14	19	characteristics	characteristic	NOUN
ajst-5049	14	20	,	,	PUNCT
ajst-5049	14	21	a	a	DET
ajst-5049	14	22	computationally	computationally	ADV
ajst-5049	14	23	efficient	efficient	ADJ
ajst-5049	14	24	and	and	CCONJ
ajst-5049	14	25	simple	simple	ADJ
ajst-5049	14	26	clustering	clustering	NOUN
ajst-5049	14	27	method	method	NOUN
ajst-5049	14	28	is	be	AUX
ajst-5049	14	29	needed	need	VERB
ajst-5049	14	30	to	to	PART
ajst-5049	14	31	analyze	analyze	VERB
ajst-5049	14	32	airport	airport	NOUN
ajst-5049	14	33	traffic	traffic	NOUN
ajst-5049	14	34	.	.	PUNCT
ajst-5049	15	1	using	use	VERB
ajst-5049	15	2	similar	similar	ADJ
ajst-5049	15	3	days	day	NOUN
ajst-5049	15	4	obtained	obtain	VERB
ajst-5049	15	5	by	by	ADP
ajst-5049	15	6	clustering	cluster	VERB
ajst-5049	15	7	to	to	PART
ajst-5049	15	8	analyze	analyze	VERB
ajst-5049	15	9	airport	airport	NOUN
ajst-5049	15	10	traffic	traffic	NOUN
ajst-5049	15	11	has	have	AUX
ajst-5049	15	12	become	become	VERB
ajst-5049	15	13	a	a	DET
ajst-5049	15	14	new	new	ADJ
ajst-5049	15	15	idea	idea	NOUN
ajst-5049	15	16	and	and	CCONJ
ajst-5049	15	17	method[6	method[6	PROPN
ajst-5049	15	18	-	-	SYM
ajst-5049	15	19	7	7	NUM
ajst-5049	15	20	]	]	PUNCT
ajst-5049	15	21	.	.	PUNCT
ajst-5049	16	1	cluster	cluster	NOUN
ajst-5049	16	2	analysis	analysis	NOUN
ajst-5049	16	3	has	have	AUX
ajst-5049	16	4	achieved	achieve	VERB
ajst-5049	16	5	effective	effective	ADJ
ajst-5049	16	6	application	application	NOUN
ajst-5049	16	7	in	in	ADP
ajst-5049	16	8	many	many	ADJ
ajst-5049	16	9	fields	field	NOUN
ajst-5049	16	10	because	because	SCONJ
ajst-5049	16	11	of	of	ADP
ajst-5049	16	12	its	its	PRON
ajst-5049	16	13	simple	simple	ADJ
ajst-5049	16	14	and	and	CCONJ
ajst-5049	16	15	effective	effective	ADJ
ajst-5049	16	16	characteristics[8	characteristics[8	NOUN
ajst-5049	16	17	]	]	PUNCT
ajst-5049	16	18	.	.	PUNCT
ajst-5049	17	1	in	in	ADP
ajst-5049	17	2	the	the	DET
ajst-5049	17	3	aviation	aviation	NOUN
ajst-5049	17	4	field	field	NOUN
ajst-5049	17	5	,	,	PUNCT
ajst-5049	17	6	grabbe	grabbe	NOUN
ajst-5049	17	7	et	et	PROPN
ajst-5049	17	8	al	al	PROPN
ajst-5049	17	9	.	.	PROPN
ajst-5049	17	10	used	use	VERB
ajst-5049	17	11	the	the	DET
ajst-5049	17	12	maximum	maximum	ADJ
ajst-5049	17	13	expectation	expectation	NOUN
ajst-5049	17	14	algorithm	algorithm	NOUN
ajst-5049	17	15	to	to	PART
ajst-5049	17	16	cluster	cluster	VERB
ajst-5049	17	17	the	the	DET
ajst-5049	17	18	airport	airport	NOUN
ajst-5049	17	19	's	's	PART
ajst-5049	17	20	weather	weather	NOUN
ajst-5049	17	21	and	and	CCONJ
ajst-5049	17	22	expected	expect	VERB
ajst-5049	17	23	arrival	arrival	NOUN
ajst-5049	17	24	rate	rate	NOUN
ajst-5049	17	25	as	as	ADP
ajst-5049	17	26	features	feature	NOUN
ajst-5049	17	27	to	to	PART
ajst-5049	17	28	analyze	analyze	VERB
ajst-5049	17	29	the	the	DET
ajst-5049	17	30	probability	probability	NOUN
ajst-5049	17	31	of	of	ADP
ajst-5049	17	32	implementing	implement	VERB
ajst-5049	17	33	ground	ground	NOUN
ajst-5049	17	34	delay	delay	NOUN
ajst-5049	17	35	procedures	procedure	NOUN
ajst-5049	17	36	under	under	ADP
ajst-5049	17	37	different	different	ADJ
ajst-5049	17	38	scenarios[9	scenarios[9	NOUN
ajst-5049	17	39	]	]	PUNCT
ajst-5049	17	40	.	.	PUNCT
ajst-5049	18	1	based	base	VERB
ajst-5049	18	2	on	on	ADP
ajst-5049	18	3	the	the	DET
ajst-5049	18	4	analysis	analysis	NOUN
ajst-5049	18	5	of	of	ADP
ajst-5049	18	6	traffic	traffic	NOUN
ajst-5049	18	7	characteristics	characteristic	NOUN
ajst-5049	18	8	in	in	ADP
ajst-5049	18	9	the	the	DET
ajst-5049	18	10	terminal	terminal	ADJ
ajst-5049	18	11	area	area	NOUN
ajst-5049	18	12	,	,	PUNCT
ajst-5049	18	13	shang	shang	PROPN
ajst-5049	18	14	ran	run	VERB
ajst-5049	18	15	et	et	PROPN
ajst-5049	18	16	al	al	PROPN
ajst-5049	18	17	.	.	PROPN
ajst-5049	18	18	extracted	extract	VERB
ajst-5049	18	19	the	the	DET
ajst-5049	18	20	daily	daily	ADJ
ajst-5049	18	21	feature	feature	NOUN
ajst-5049	18	22	vector	vector	NOUN
ajst-5049	18	23	,	,	PUNCT
ajst-5049	18	24	constructed	construct	VERB
ajst-5049	18	25	a	a	DET
ajst-5049	18	26	similar	similar	ADJ
ajst-5049	18	27	day	day	NOUN
ajst-5049	18	28	clustering	clustering	NOUN
ajst-5049	18	29	model	model	NOUN
ajst-5049	18	30	based	base	VERB
ajst-5049	18	31	on	on	ADP
ajst-5049	18	32	the	the	DET
ajst-5049	18	33	somk	somk	NOUN
ajst-5049	18	34	-	-	PUNCT
ajst-5049	18	35	means	mean	NOUN
ajst-5049	18	36	algorithm	algorithm	NOUN
ajst-5049	18	37	,	,	PUNCT
ajst-5049	18	38	and	and	CCONJ
ajst-5049	18	39	conducted	conduct	VERB
ajst-5049	18	40	an	an	DET
ajst-5049	18	41	example	example	NOUN
ajst-5049	18	42	analysis	analysis	NOUN
ajst-5049	18	43	to	to	PART
ajst-5049	18	44	objectively	objectively	ADV
ajst-5049	18	45	summarize	summarize	VERB
ajst-5049	18	46	the	the	DET
ajst-5049	18	47	typical	typical	ADJ
ajst-5049	18	48	traffic	traffic	NOUN
ajst-5049	18	49	scenarios[10	scenarios[10	NOUN
ajst-5049	18	50	]	]	PUNCT
ajst-5049	18	51	.	.	PUNCT
ajst-5049	19	1	rao	rao	PROPN
ajst-5049	19	2	et	et	PROPN
ajst-5049	19	3	al	al	PROPN
ajst-5049	19	4	.	.	PROPN
ajst-5049	19	5	proposed	propose	VERB
ajst-5049	19	6	a	a	DET
ajst-5049	19	7	multivariate	multivariate	NOUN
ajst-5049	19	8	trajectory	trajectory	NOUN
ajst-5049	19	9	deep	deep	ADJ
ajst-5049	19	10	clustering	clustering	NOUN
ajst-5049	19	11	framework	framework	NOUN
ajst-5049	19	12	based	base	VERB
ajst-5049	19	13	on	on	ADP
ajst-5049	19	14	a	a	DET
ajst-5049	19	15	deep	deep	ADJ
ajst-5049	19	16	neural	neural	ADJ
ajst-5049	19	17	network	network	NOUN
ajst-5049	19	18	and	and	CCONJ
ajst-5049	19	19	used	use	VERB
ajst-5049	19	20	it	it	PRON
ajst-5049	19	21	for	for	ADP
ajst-5049	19	22	air	air	NOUN
ajst-5049	19	23	traffic	traffic	NOUN
ajst-5049	19	24	flow	flow	NOUN
ajst-5049	19	25	identification	identification	NOUN
ajst-5049	19	26	and	and	CCONJ
ajst-5049	19	27	anomaly	anomaly	NOUN
ajst-5049	19	28	detection[11	detection[11	PROPN
ajst-5049	19	29	]	]	PUNCT
ajst-5049	19	30	.	.	PUNCT
ajst-5049	20	1	chen	chen	PROPN
ajst-5049	20	2	et	et	PROPN
ajst-5049	20	3	al	al	PROPN
ajst-5049	20	4	.	.	PROPN
ajst-5049	21	1	used	use	VERB
ajst-5049	21	2	machine	machine	NOUN
ajst-5049	21	3	learning	learn	VERB
ajst-5049	21	4	technology	technology	NOUN
ajst-5049	21	5	to	to	PART
ajst-5049	21	6	cluster	cluster	NOUN
ajst-5049	21	7	weather	weather	NOUN
ajst-5049	21	8	factors	factor	NOUN
ajst-5049	21	9	such	such	ADJ
ajst-5049	21	10	as	as	ADP
ajst-5049	21	11	meteorology	meteorology	NOUN
ajst-5049	21	12	and	and	CCONJ
ajst-5049	21	13	wind	wind	NOUN
ajst-5049	21	14	conditions	condition	NOUN
ajst-5049	21	15	,	,	PUNCT
ajst-5049	21	16	and	and	CCONJ
ajst-5049	21	17	output	output	VERB
ajst-5049	21	18	the	the	DET
ajst-5049	21	19	results	result	NOUN
ajst-5049	21	20	of	of	ADP
ajst-5049	21	21	similar	similar	ADJ
ajst-5049	21	22	effects	effect	NOUN
ajst-5049	21	23	of	of	ADP
ajst-5049	21	24	weather	weather	NOUN
ajst-5049	21	25	on	on	ADP
ajst-5049	21	26	the	the	DET
ajst-5049	21	27	airport[12	airport[12	NOUN
ajst-5049	21	28	]	]	PUNCT
ajst-5049	21	29	.	.	PUNCT
ajst-5049	22	1	based	base	VERB
ajst-5049	22	2	on	on	ADP
ajst-5049	22	3	the	the	DET
ajst-5049	22	4	historical	historical	ADJ
ajst-5049	22	5	weather	weather	NOUN
ajst-5049	22	6	data	datum	NOUN
ajst-5049	22	7	of	of	ADP
ajst-5049	22	8	kunming	kunming	PROPN
ajst-5049	22	9	terminal	terminal	PROPN
ajst-5049	22	10	,	,	PUNCT
ajst-5049	22	11	shan	shan	PROPN
ajst-5049	22	12	et	et	PROPN
ajst-5049	22	13	al	al	PROPN
ajst-5049	22	14	.	.	PROPN
ajst-5049	22	15	used	use	VERB
ajst-5049	22	16	the	the	DET
ajst-5049	22	17	k	k	ADJ
ajst-5049	22	18	-	-	ADJ
ajst-5049	22	19	mean	mean	ADJ
ajst-5049	22	20	algorithm	algorithm	NOUN
ajst-5049	22	21	for	for	ADP
ajst-5049	22	22	cluster	cluster	NOUN
ajst-5049	22	23	analysis	analysis	NOUN
ajst-5049	22	24	to	to	PART
ajst-5049	22	25	obtain	obtain	VERB
ajst-5049	22	26	7	7	NUM
ajst-5049	22	27	common	common	ADJ
ajst-5049	22	28	instrument	instrument	NOUN
ajst-5049	22	29	flight	flight	NOUN
ajst-5049	22	30	rule	rule	NOUN
ajst-5049	22	31	weather	weather	NOUN
ajst-5049	22	32	types	type	NOUN
ajst-5049	22	33	that	that	PRON
ajst-5049	22	34	affect	affect	VERB
ajst-5049	22	35	flight	flight	NOUN
ajst-5049	22	36	operation[13	operation[13	NOUN
ajst-5049	22	37	]	]	PUNCT
ajst-5049	22	38	.	.	PUNCT
ajst-5049	23	1	xu	xu	PROPN
ajst-5049	23	2	et	et	PROPN
ajst-5049	24	1	al	al	PROPN
ajst-5049	24	2	.	.	PROPN
ajst-5049	24	3	used	use	VERB
ajst-5049	24	4	a	a	DET
ajst-5049	24	5	self	self	NOUN
ajst-5049	24	6	-	-	PUNCT
ajst-5049	24	7	organizing	organize	VERB
ajst-5049	24	8	map	map	NOUN
ajst-5049	24	9	(	(	PUNCT
ajst-5049	24	10	som	som	NOUN
ajst-5049	24	11	)	)	PUNCT
ajst-5049	24	12	neural	neural	ADJ
ajst-5049	24	13	network	network	NOUN
ajst-5049	24	14	algorithm	algorithm	NOUN
ajst-5049	24	15	to	to	PART
ajst-5049	24	16	cluster	cluster	VERB
ajst-5049	24	17	the	the	DET
ajst-5049	24	18	weather	weather	NOUN
ajst-5049	24	19	at	at	ADP
ajst-5049	24	20	shanghai	shanghai	PROPN
ajst-5049	24	21	pudong	pudong	PROPN
ajst-5049	24	22	international	international	PROPN
ajst-5049	24	23	airport[14	airport[14	PROPN
ajst-5049	24	24	]	]	PUNCT
ajst-5049	24	25	.	.	PUNCT
ajst-5049	25	1	chen	chen	PROPN
ajst-5049	25	2	et	et	PROPN
ajst-5049	25	3	al	al	PROPN
ajst-5049	25	4	.	.	PROPN
ajst-5049	25	5	studied	study	VERB
ajst-5049	25	6	the	the	DET
ajst-5049	25	7	prediction	prediction	NOUN
ajst-5049	25	8	of	of	ADP
ajst-5049	25	9	airport	airport	NOUN
ajst-5049	25	10	peak	peak	NOUN
ajst-5049	25	11	service	service	NOUN
ajst-5049	25	12	rate	rate	NOUN
ajst-5049	25	13	based	base	VERB
ajst-5049	25	14	on	on	ADP
ajst-5049	25	15	weather	weather	NOUN
ajst-5049	25	16	classification	classification	NOUN
ajst-5049	25	17	and	and	CCONJ
ajst-5049	25	18	used	use	VERB
ajst-5049	25	19	the	the	DET
ajst-5049	25	20	k	k	NOUN
ajst-5049	25	21	-	-	PUNCT
ajst-5049	25	22	means	means	NOUN
ajst-5049	25	23	algorithm	algorithm	NOUN
ajst-5049	25	24	to	to	PART
ajst-5049	25	25	construct	construct	VERB
ajst-5049	25	26	an	an	DET
ajst-5049	25	27	airport	airport	NOUN
ajst-5049	25	28	peak	peak	NOUN
ajst-5049	25	29	service	service	NOUN
ajst-5049	25	30	capacity	capacity	NOUN
ajst-5049	25	31	analysis	analysis	NOUN
ajst-5049	25	32	model	model	NOUN
ajst-5049	25	33	for	for	ADP
ajst-5049	25	34	three	three	NUM
ajst-5049	25	35	weather	weather	NOUN
ajst-5049	25	36	types	type	NOUN
ajst-5049	25	37	.	.	PUNCT
ajst-5049	26	1	in	in	ADP
ajst-5049	26	2	summary	summary	NOUN
ajst-5049	26	3	,	,	PUNCT
ajst-5049	26	4	the	the	DET
ajst-5049	26	5	above	above	ADJ
ajst-5049	26	6	researches	research	NOUN
ajst-5049	26	7	mostly	mostly	ADV
ajst-5049	26	8	use	use	VERB
ajst-5049	26	9	a	a	DET
ajst-5049	26	10	single	single	ADJ
ajst-5049	26	11	algorithm	algorithm	NOUN
ajst-5049	26	12	,	,	PUNCT
ajst-5049	26	13	and	and	CCONJ
ajst-5049	26	14	the	the	DET
ajst-5049	26	15	single	single	ADJ
ajst-5049	26	16	algorithm	algorithm	NOUN
ajst-5049	26	17	has	have	VERB
ajst-5049	26	18	certain	certain	ADJ
ajst-5049	26	19	defects	defect	NOUN
ajst-5049	26	20	.	.	PUNCT
ajst-5049	27	1	for	for	ADP
ajst-5049	27	2	example	example	NOUN
ajst-5049	27	3	,	,	PUNCT
ajst-5049	27	4	although	although	SCONJ
ajst-5049	27	5	the	the	DET
ajst-5049	27	6	k	k	NOUN
ajst-5049	27	7	-	-	PUNCT
ajst-5049	27	8	means	means	NOUN
ajst-5049	27	9	algorithm	algorithm	NOUN
ajst-5049	27	10	has	have	VERB
ajst-5049	27	11	fast	fast	ADJ
ajst-5049	27	12	convergence	convergence	NOUN
ajst-5049	27	13	speed	speed	NOUN
ajst-5049	27	14	and	and	CCONJ
ajst-5049	27	15	excellent	excellent	ADJ
ajst-5049	27	16	clustering	clustering	ADJ
ajst-5049	27	17	effect	effect	NOUN
ajst-5049	27	18	,	,	PUNCT
ajst-5049	27	19	the	the	DET
ajst-5049	27	20	selection	selection	NOUN
ajst-5049	27	21	of	of	ADP
ajst-5049	27	22	the	the	DET
ajst-5049	27	23	k	k	PROPN
ajst-5049	27	24	value	value	NOUN
ajst-5049	27	25	is	be	AUX
ajst-5049	27	26	not	not	PART
ajst-5049	27	27	easy	easy	ADJ
ajst-5049	27	28	to	to	PART
ajst-5049	27	29	grasp	grasp	VERB
ajst-5049	27	30	;	;	PUNCT
ajst-5049	27	31	the	the	DET
ajst-5049	27	32	som	som	NOUN
ajst-5049	27	33	algorithm	algorithm	NOUN
ajst-5049	27	34	has	have	VERB
ajst-5049	27	35	strong	strong	ADJ
ajst-5049	27	36	fault	fault	NOUN
ajst-5049	27	37	tolerance	tolerance	NOUN
ajst-5049	27	38	,	,	PUNCT
ajst-5049	27	39	but	but	CCONJ
ajst-5049	27	40	the	the	DET
ajst-5049	27	41	operation	operation	NOUN
ajst-5049	27	42	efficiency	efficiency	NOUN
ajst-5049	27	43	is	be	AUX
ajst-5049	27	44	low	low	ADJ
ajst-5049	27	45	.	.	PUNCT
ajst-5049	28	1	to	to	PART
ajst-5049	28	2	improve	improve	VERB
ajst-5049	28	3	the	the	DET
ajst-5049	28	4	clustering	clustering	ADJ
ajst-5049	28	5	analysis	analysis	NOUN
ajst-5049	28	6	effect	effect	NOUN
ajst-5049	28	7	of	of	ADP
ajst-5049	28	8	airport	airport	NOUN
ajst-5049	28	9	traffic	traffic	NOUN
ajst-5049	28	10	under	under	ADP
ajst-5049	28	11	the	the	DET
ajst-5049	28	12	influence	influence	NOUN
ajst-5049	28	13	of	of	ADP
ajst-5049	28	14	the	the	DET
ajst-5049	28	15	epidemic	epidemic	NOUN
ajst-5049	28	16	situation	situation	NOUN
ajst-5049	28	17	,	,	PUNCT
ajst-5049	28	18	this	this	DET
ajst-5049	28	19	paper	paper	NOUN
ajst-5049	28	20	constructs	construct	VERB
ajst-5049	28	21	a	a	DET
ajst-5049	28	22	traffic	traffic	NOUN
ajst-5049	28	23	-	-	PUNCT
ajst-5049	28	24	similar	similar	ADJ
ajst-5049	28	25	day	day	NOUN
ajst-5049	28	26	clustering	clustering	NOUN
ajst-5049	28	27	model	model	NOUN
ajst-5049	28	28	based	base	VERB
ajst-5049	28	29	on	on	ADP
ajst-5049	28	30	the	the	DET
ajst-5049	28	31	hi	hi	PROPN
ajst-5049	28	32	-	-	PUNCT
ajst-5049	28	33	k	k	NOUN
ajst-5049	28	34	-	-	PUNCT
ajst-5049	28	35	means	means	NOUN
ajst-5049	28	36	clustering	cluster	VERB
ajst-5049	28	37	algorithm	algorithm	NOUN
ajst-5049	28	38	based	base	VERB
ajst-5049	28	39	on	on	ADP
ajst-5049	28	40	airport	airport	NOUN
ajst-5049	28	41	traffic	traffic	NOUN
ajst-5049	28	42	feature	feature	NOUN
ajst-5049	28	43	extraction	extraction	NOUN
ajst-5049	28	44	.	.	PUNCT
ajst-5049	29	1	this	this	DET
ajst-5049	29	2	algorithm	algorithm	NOUN
ajst-5049	29	3	combines	combine	VERB
ajst-5049	29	4	the	the	DET
ajst-5049	29	5	advantages	advantage	NOUN
ajst-5049	29	6	of	of	ADP
ajst-5049	29	7	hierarchical	hierarchical	ADJ
ajst-5049	29	8	clustering	clustering	NOUN
ajst-5049	29	9	and	and	CCONJ
ajst-5049	29	10	k	k	ADJ
ajst-5049	29	11	-	-	PUNCT
ajst-5049	29	12	means	mean	VERB
ajst-5049	29	13	algorithm	algorithm	NOUN
ajst-5049	29	14	efficiency	efficiency	NOUN
ajst-5049	29	15	and	and	CCONJ
ajst-5049	29	16	makes	make	VERB
ajst-5049	29	17	up	up	ADP
ajst-5049	29	18	for	for	ADP
ajst-5049	29	19	the	the	DET
ajst-5049	29	20	defects	defect	NOUN
ajst-5049	29	21	of	of	ADP
ajst-5049	29	22	the	the	DET
ajst-5049	29	23	two	two	NUM
ajst-5049	29	24	algorithms	algorithm	NOUN
ajst-5049	29	25	.	.	PUNCT
ajst-5049	30	1	2	2	X
ajst-5049	30	2	.	.	X
ajst-5049	30	3	clustering	cluster	VERB
ajst-5049	30	4	feature	feature	NOUN
ajst-5049	30	5	extraction	extraction	NOUN
ajst-5049	30	6	because	because	SCONJ
ajst-5049	30	7	the	the	DET
ajst-5049	30	8	original	original	ADJ
ajst-5049	30	9	data	data	NOUN
ajst-5049	30	10	volume	volume	NOUN
ajst-5049	30	11	is	be	AUX
ajst-5049	30	12	large	large	ADJ
ajst-5049	30	13	and	and	CCONJ
ajst-5049	30	14	there	there	PRON
ajst-5049	30	15	are	be	VERB
ajst-5049	30	16	many	many	ADJ
ajst-5049	30	17	irrelevant	irrelevant	ADJ
ajst-5049	30	18	data	datum	NOUN
ajst-5049	30	19	items	item	NOUN
ajst-5049	30	20	,	,	PUNCT
ajst-5049	30	21	it	it	PRON
ajst-5049	30	22	is	be	AUX
ajst-5049	30	23	necessary	necessary	ADJ
ajst-5049	30	24	to	to	PART
ajst-5049	30	25	clean	clean	VERB
ajst-5049	30	26	the	the	DET
ajst-5049	30	27	data	datum	NOUN
ajst-5049	30	28	,	,	PUNCT
ajst-5049	30	29	eliminate	eliminate	VERB
ajst-5049	30	30	irrelevant	irrelevant	ADJ
ajst-5049	30	31	data	datum	NOUN
ajst-5049	30	32	items	item	NOUN
ajst-5049	30	33	such	such	ADJ
ajst-5049	30	34	as	as	ADP
ajst-5049	30	35	models	model	NOUN
ajst-5049	30	36	and	and	CCONJ
ajst-5049	30	37	parking	parking	NOUN
ajst-5049	30	38	spaces	space	NOUN
ajst-5049	30	39	,	,	PUNCT
ajst-5049	30	40	and	and	CCONJ
ajst-5049	30	41	delete	delete	ADJ
ajst-5049	30	42	missing	missing	ADJ
ajst-5049	30	43	and	and	CCONJ
ajst-5049	30	44	abnormal	abnormal	ADJ
ajst-5049	30	45	data	data	NOUN
ajst-5049	30	46	samples	sample	NOUN
ajst-5049	30	47	.	.	PUNCT
ajst-5049	31	1	based	base	VERB
ajst-5049	31	2	on	on	ADP
ajst-5049	31	3	the	the	DET
ajst-5049	31	4	cleaned	clean	VERB
ajst-5049	31	5	data	datum	NOUN
ajst-5049	31	6	,	,	PUNCT
ajst-5049	31	7	the	the	DET
ajst-5049	31	8	characteristic	characteristic	ADJ
ajst-5049	31	9	variables	variable	NOUN
ajst-5049	31	10	reflecting	reflect	VERB
ajst-5049	31	11	the	the	DET
ajst-5049	31	12	characteristics	characteristic	NOUN
ajst-5049	31	13	of	of	ADP
ajst-5049	31	14	airport	airport	NOUN
ajst-5049	31	15	traffic	traffic	NOUN
ajst-5049	31	16	are	be	AUX
ajst-5049	31	17	extracted	extract	VERB
ajst-5049	31	18	.	.	PUNCT
ajst-5049	32	1	the	the	DET
ajst-5049	32	2	specific	specific	ADJ
ajst-5049	32	3	processing	processing	NOUN
ajst-5049	32	4	steps	step	NOUN
ajst-5049	32	5	for	for	ADP
ajst-5049	32	6	splitting	split	VERB
ajst-5049	32	7	the	the	DET
ajst-5049	32	8	data	datum	NOUN
ajst-5049	32	9	and	and	CCONJ
ajst-5049	32	10	extracting	extract	VERB
ajst-5049	32	11	the	the	DET
ajst-5049	32	12	daily	daily	ADJ
ajst-5049	32	13	traffic	traffic	NOUN
ajst-5049	32	14	characteristic	characteristic	ADJ
ajst-5049	32	15	indicators	indicator	NOUN
ajst-5049	32	16	used	use	VERB
ajst-5049	32	17	for	for	ADP
ajst-5049	32	18	clustering	clustering	NOUN
ajst-5049	32	19	are	be	AUX
ajst-5049	32	20	as	as	SCONJ
ajst-5049	32	21	follows	follow	VERB
ajst-5049	32	22	:	:	PUNCT
ajst-5049	32	23	1	1	X
ajst-5049	32	24	)	)	PUNCT
ajst-5049	32	25	data	datum	NOUN
ajst-5049	32	26	cleaning	cleaning	NOUN
ajst-5049	32	27	and	and	CCONJ
ajst-5049	32	28	partitioning	partitioning	NOUN
ajst-5049	32	29	:	:	PUNCT
ajst-5049	32	30	remove	remove	VERB
ajst-5049	32	31	missing	missing	ADJ
ajst-5049	32	32	and	and	CCONJ
ajst-5049	32	33	abnormal	abnormal	ADJ
ajst-5049	32	34	information	information	NOUN
ajst-5049	32	35	and	and	CCONJ
ajst-5049	32	36	retain	retain	VERB
ajst-5049	32	37	valid	valid	ADJ
ajst-5049	32	38	information	information	NOUN
ajst-5049	32	39	.	.	PUNCT
ajst-5049	33	1	after	after	ADP
ajst-5049	33	2	that	that	PRON
ajst-5049	33	3	,	,	PUNCT
ajst-5049	33	4	the	the	DET
ajst-5049	33	5	day	day	NOUN
ajst-5049	33	6	is	be	AUX
ajst-5049	33	7	divided	divide	VERB
ajst-5049	33	8	into	into	ADP
ajst-5049	33	9	24	24	NUM
ajst-5049	33	10	time	time	NOUN
ajst-5049	33	11	periods	period	NOUN
ajst-5049	33	12	,	,	PUNCT
ajst-5049	33	13	each	each	DET
ajst-5049	33	14	hour	hour	NOUN
ajst-5049	33	15	as	as	ADP
ajst-5049	33	16	a	a	DET
ajst-5049	33	17	time	time	NOUN
ajst-5049	33	18	period	period	NOUN
ajst-5049	33	19	.	.	PUNCT
ajst-5049	34	1	based	base	VERB
ajst-5049	34	2	on	on	ADP
ajst-5049	34	3	the	the	DET
ajst-5049	34	4	actual	actual	ADJ
ajst-5049	34	5	take	take	VERB
ajst-5049	34	6	-	-	PUNCT
ajst-5049	34	7	off	off	NOUN
ajst-5049	34	8	time	time	NOUN
ajst-5049	34	9	and	and	CCONJ
ajst-5049	34	10	actual	actual	ADJ
ajst-5049	34	11	landing	landing	NOUN
ajst-5049	34	12	time	time	NOUN
ajst-5049	34	13	in	in	ADP
ajst-5049	34	14	the	the	DET
ajst-5049	34	15	original	original	ADJ
ajst-5049	34	16	data	datum	NOUN
ajst-5049	34	17	,	,	PUNCT
ajst-5049	34	18	statistics	statistic	NOUN
ajst-5049	34	19	are	be	AUX
ajst-5049	34	20	made	make	VERB
ajst-5049	34	21	to	to	PART
ajst-5049	34	22	obtain	obtain	VERB
ajst-5049	34	23	the	the	DET
ajst-5049	34	24	arrival	arrival	NOUN
ajst-5049	34	25	traffic	traffic	NOUN
ajst-5049	34	26	,	,	PUNCT
ajst-5049	34	27	departure	departure	NOUN
ajst-5049	34	28	traffic	traffic	NOUN
ajst-5049	34	29	,	,	PUNCT
ajst-5049	34	30	and	and	CCONJ
ajst-5049	34	31	total	total	ADJ
ajst-5049	34	32	traffic	traffic	NOUN
ajst-5049	34	33	of	of	ADP
ajst-5049	34	34	the	the	DET
ajst-5049	34	35	hour	hour	NOUN
ajst-5049	34	36	granularity	granularity	NOUN
ajst-5049	34	37	.	.	PUNCT
ajst-5049	35	1	on	on	ADP
ajst-5049	35	2	this	this	DET
ajst-5049	35	3	basis	basis	NOUN
ajst-5049	35	4	,	,	PUNCT
ajst-5049	35	5	the	the	DET
ajst-5049	35	6	daily	daily	ADJ
ajst-5049	35	7	arrival	arrival	NOUN
ajst-5049	35	8	traffic	traffic	NOUN
ajst-5049	35	9	,	,	PUNCT
ajst-5049	35	10	daily	daily	ADJ
ajst-5049	35	11	departure	departure	NOUN
ajst-5049	35	12	traffic	traffic	NOUN
ajst-5049	35	13	,	,	PUNCT
ajst-5049	35	14	and	and	CCONJ
ajst-5049	35	15	daily	daily	ADJ
ajst-5049	35	16	total	total	ADJ
ajst-5049	35	17	traffic	traffic	NOUN
ajst-5049	35	18	are	be	AUX
ajst-5049	35	19	further	far	ADV
ajst-5049	35	20	calculated	calculate	VERB
ajst-5049	35	21	.	.	PUNCT
ajst-5049	36	1	2	2	X
ajst-5049	36	2	)	)	PUNCT
ajst-5049	36	3	traffic	traffic	NOUN
ajst-5049	36	4	characteristic	characteristic	ADJ
ajst-5049	36	5	indicators	indicator	NOUN
ajst-5049	36	6	extraction	extraction	NOUN
ajst-5049	36	7	:	:	PUNCT
ajst-5049	36	8	considering	consider	VERB
ajst-5049	36	9	that	that	SCONJ
ajst-5049	36	10	only	only	ADV
ajst-5049	36	11	the	the	DET
ajst-5049	36	12	daily	daily	ADJ
ajst-5049	36	13	total	total	ADJ
ajst-5049	36	14	arrival	arrival	NOUN
ajst-5049	36	15	and	and	CCONJ
ajst-5049	36	16	departure	departure	NOUN
ajst-5049	36	17	traffic	traffic	NOUN
ajst-5049	36	18	is	be	AUX
ajst-5049	36	19	used	use	VERB
ajst-5049	36	20	to	to	PART
ajst-5049	36	21	cluster	cluster	VERB
ajst-5049	36	22	each	each	DET
ajst-5049	36	23	data	datum	NOUN
ajst-5049	36	24	sample	sample	NOUN
ajst-5049	36	25	,	,	PUNCT
ajst-5049	36	26	the	the	DET
ajst-5049	36	27	characteristic	characteristic	ADJ
ajst-5049	36	28	indicators	indicator	NOUN
ajst-5049	36	29	are	be	AUX
ajst-5049	36	30	too	too	ADV
ajst-5049	36	31	few	few	ADJ
ajst-5049	36	32	,	,	PUNCT
ajst-5049	36	33	and	and	CCONJ
ajst-5049	36	34	it	it	PRON
ajst-5049	36	35	is	be	AUX
ajst-5049	36	36	difficult	difficult	ADJ
ajst-5049	36	37	to	to	PART
ajst-5049	36	38	obtain	obtain	VERB
ajst-5049	36	39	the	the	DET
ajst-5049	36	40	appropriate	appropriate	ADJ
ajst-5049	36	41	clustering	clustering	ADJ
ajst-5049	36	42	results	result	NOUN
ajst-5049	36	43	.	.	PUNCT
ajst-5049	37	1	however	however	ADV
ajst-5049	37	2	,	,	PUNCT
ajst-5049	37	3	if	if	SCONJ
ajst-5049	37	4	the	the	DET
ajst-5049	37	5	hourly	hourly	ADJ
ajst-5049	37	6	traffic	traffic	NOUN
ajst-5049	37	7	is	be	AUX
ajst-5049	37	8	included	include	VERB
ajst-5049	37	9	in	in	ADP
ajst-5049	37	10	the	the	DET
ajst-5049	37	11	characteristic	characteristic	ADJ
ajst-5049	37	12	indicators	indicator	NOUN
ajst-5049	37	13	,	,	PUNCT
ajst-5049	37	14	the	the	DET
ajst-5049	37	15	sample	sample	NOUN
ajst-5049	37	16	dimension	dimension	NOUN
ajst-5049	37	17	will	will	AUX
ajst-5049	37	18	be	be	AUX
ajst-5049	37	19	too	too	ADV
ajst-5049	37	20	156	156	NUM
ajst-5049	37	21	high	high	ADJ
ajst-5049	37	22	and	and	CCONJ
ajst-5049	37	23	the	the	DET
ajst-5049	37	24	calculation	calculation	NOUN
ajst-5049	37	25	efficiency	efficiency	NOUN
ajst-5049	37	26	will	will	AUX
ajst-5049	37	27	be	be	AUX
ajst-5049	37	28	too	too	ADV
ajst-5049	37	29	low	low	ADJ
ajst-5049	37	30	.	.	PUNCT
ajst-5049	38	1	using	use	VERB
ajst-5049	38	2	python	python	NOUN
ajst-5049	38	3	to	to	PART
ajst-5049	38	4	visualize	visualize	VERB
ajst-5049	38	5	the	the	DET
ajst-5049	38	6	average	average	ADJ
ajst-5049	38	7	daily	daily	ADJ
ajst-5049	38	8	hourly	hourly	ADJ
ajst-5049	38	9	traffic	traffic	NOUN
ajst-5049	38	10	flow	flow	NOUN
ajst-5049	38	11	,	,	PUNCT
ajst-5049	38	12	and	and	CCONJ
ajst-5049	38	13	draw	draw	VERB
ajst-5049	38	14	a	a	DET
ajst-5049	38	15	daily	daily	ADJ
ajst-5049	38	16	arrival	arrival	NOUN
ajst-5049	38	17	/	/	SYM
ajst-5049	38	18	departure	departure	NOUN
ajst-5049	38	19	traffic	traffic	NOUN
ajst-5049	38	20	and	and	CCONJ
ajst-5049	38	21	total	total	ADJ
ajst-5049	38	22	traffic	traffic	NOUN
ajst-5049	38	23	distribution	distribution	NOUN
ajst-5049	38	24	map	map	NOUN
ajst-5049	38	25	,	,	PUNCT
ajst-5049	38	26	additional	additional	ADJ
ajst-5049	38	27	characteristic	characteristic	ADJ
ajst-5049	38	28	indicators	indicator	NOUN
ajst-5049	38	29	can	can	AUX
ajst-5049	38	30	be	be	AUX
ajst-5049	38	31	observed	observe	VERB
ajst-5049	38	32	.	.	PUNCT
ajst-5049	39	1	according	accord	VERB
ajst-5049	39	2	to	to	ADP
ajst-5049	39	3	experience	experience	NOUN
ajst-5049	39	4	,	,	PUNCT
ajst-5049	39	5	the	the	DET
ajst-5049	39	6	arrival	arrival	NOUN
ajst-5049	39	7	peak	peak	NOUN
ajst-5049	39	8	is	be	AUX
ajst-5049	39	9	generally	generally	ADV
ajst-5049	39	10	at	at	ADP
ajst-5049	39	11	night	night	NOUN
ajst-5049	39	12	,	,	PUNCT
ajst-5049	39	13	and	and	CCONJ
ajst-5049	39	14	the	the	DET
ajst-5049	39	15	departure	departure	NOUN
ajst-5049	39	16	peak	peak	NOUN
ajst-5049	39	17	is	be	AUX
ajst-5049	39	18	generally	generally	ADV
ajst-5049	39	19	in	in	ADP
ajst-5049	39	20	the	the	DET
ajst-5049	39	21	morning	morning	NOUN
ajst-5049	39	22	.	.	PUNCT
ajst-5049	40	1	according	accord	VERB
ajst-5049	40	2	to	to	ADP
ajst-5049	40	3	the	the	DET
ajst-5049	40	4	traffic	traffic	NOUN
ajst-5049	40	5	distribution	distribution	NOUN
ajst-5049	40	6	map	map	NOUN
ajst-5049	40	7	of	of	ADP
ajst-5049	40	8	arrival	arrival	NOUN
ajst-5049	40	9	/	/	SYM
ajst-5049	40	10	departure	departure	NOUN
ajst-5049	40	11	,	,	PUNCT
ajst-5049	40	12	the	the	DET
ajst-5049	40	13	specific	specific	ADJ
ajst-5049	40	14	arrival	arrival	NOUN
ajst-5049	40	15	/	/	SYM
ajst-5049	40	16	departure	departure	NOUN
ajst-5049	40	17	peak	peak	NOUN
ajst-5049	40	18	period	period	NOUN
ajst-5049	40	19	can	can	AUX
ajst-5049	40	20	be	be	AUX
ajst-5049	40	21	determined	determine	VERB
ajst-5049	40	22	,	,	PUNCT
ajst-5049	40	23	and	and	CCONJ
ajst-5049	40	24	then	then	ADV
ajst-5049	40	25	the	the	DET
ajst-5049	40	26	traffic	traffic	NOUN
ajst-5049	40	27	sum	sum	NOUN
ajst-5049	40	28	of	of	ADP
ajst-5049	40	29	the	the	DET
ajst-5049	40	30	evening	evening	NOUN
ajst-5049	40	31	peak	peak	NOUN
ajst-5049	40	32	period	period	NOUN
ajst-5049	40	33	and	and	CCONJ
ajst-5049	40	34	the	the	DET
ajst-5049	40	35	morning	morning	NOUN
ajst-5049	40	36	peak	peak	NOUN
ajst-5049	40	37	period	period	NOUN
ajst-5049	40	38	of	of	ADP
ajst-5049	40	39	departure	departure	NOUN
ajst-5049	40	40	can	can	AUX
ajst-5049	40	41	be	be	AUX
ajst-5049	40	42	calculated	calculate	VERB
ajst-5049	40	43	.	.	PUNCT
ajst-5049	41	1	then	then	ADV
ajst-5049	41	2	according	accord	VERB
ajst-5049	41	3	to	to	ADP
ajst-5049	41	4	the	the	DET
ajst-5049	41	5	daily	daily	ADJ
ajst-5049	41	6	total	total	ADJ
ajst-5049	41	7	traffic	traffic	NOUN
ajst-5049	41	8	distribution	distribution	NOUN
ajst-5049	41	9	map	map	NOUN
ajst-5049	41	10	,	,	PUNCT
ajst-5049	41	11	the	the	DET
ajst-5049	41	12	daily	daily	ADJ
ajst-5049	41	13	trough	trough	NOUN
ajst-5049	41	14	traffic	traffic	NOUN
ajst-5049	41	15	and	and	CCONJ
ajst-5049	41	16	daily	daily	ADJ
ajst-5049	41	17	peak	peak	NOUN
ajst-5049	41	18	traffic	traffic	NOUN
ajst-5049	41	19	are	be	AUX
ajst-5049	41	20	observed	observe	VERB
ajst-5049	41	21	and	and	CCONJ
ajst-5049	41	22	calculated	calculate	VERB
ajst-5049	41	23	.	.	PUNCT
ajst-5049	42	1	these	these	DET
ajst-5049	42	2	four	four	NUM
ajst-5049	42	3	additional	additional	ADJ
ajst-5049	42	4	feature	feature	NOUN
ajst-5049	42	5	indicators	indicator	NOUN
ajst-5049	42	6	can	can	AUX
ajst-5049	42	7	describe	describe	VERB
ajst-5049	42	8	the	the	DET
ajst-5049	42	9	daily	daily	ADJ
ajst-5049	42	10	traffic	traffic	NOUN
ajst-5049	42	11	characteristics	characteristic	NOUN
ajst-5049	42	12	more	more	ADV
ajst-5049	42	13	concisely	concisely	ADV
ajst-5049	42	14	without	without	ADP
ajst-5049	42	15	losing	lose	VERB
ajst-5049	42	16	accuracy	accuracy	NOUN
ajst-5049	42	17	.	.	PUNCT
ajst-5049	43	1	in	in	ADP
ajst-5049	43	2	the	the	DET
ajst-5049	43	3	final	final	ADJ
ajst-5049	43	4	data	datum	NOUN
ajst-5049	43	5	matrix	matrix	NOUN
ajst-5049	43	6	,	,	PUNCT
ajst-5049	43	7	there	there	PRON
ajst-5049	43	8	are	be	VERB
ajst-5049	43	9	seven	seven	NUM
ajst-5049	43	10	characteristic	characteristic	ADJ
ajst-5049	43	11	indicators	indicator	NOUN
ajst-5049	43	12	for	for	ADP
ajst-5049	43	13	each	each	DET
ajst-5049	43	14	data	datum	NOUN
ajst-5049	43	15	sample	sample	NOUN
ajst-5049	43	16	,	,	PUNCT
ajst-5049	43	17	which	which	PRON
ajst-5049	43	18	are	be	AUX
ajst-5049	43	19	daily	daily	ADJ
ajst-5049	43	20	arrival	arrival	NOUN
ajst-5049	43	21	traffic	traffic	NOUN
ajst-5049	43	22	,	,	PUNCT
ajst-5049	43	23	daily	daily	ADJ
ajst-5049	43	24	departure	departure	NOUN
ajst-5049	43	25	traffic	traffic	NOUN
ajst-5049	43	26	,	,	PUNCT
ajst-5049	43	27	total	total	ADJ
ajst-5049	43	28	daily	daily	ADJ
ajst-5049	43	29	traffic	traffic	NOUN
ajst-5049	43	30	,	,	PUNCT
ajst-5049	43	31	the	the	DET
ajst-5049	43	32	sum	sum	NOUN
ajst-5049	43	33	of	of	ADP
ajst-5049	43	34	arrival	arrival	NOUN
ajst-5049	43	35	traffic	traffic	NOUN
ajst-5049	43	36	in	in	ADP
ajst-5049	43	37	the	the	DET
ajst-5049	43	38	evening	evening	NOUN
ajst-5049	43	39	peak	peak	NOUN
ajst-5049	43	40	period	period	NOUN
ajst-5049	43	41	,	,	PUNCT
ajst-5049	43	42	the	the	DET
ajst-5049	43	43	sum	sum	NOUN
ajst-5049	43	44	of	of	ADP
ajst-5049	43	45	departure	departure	NOUN
ajst-5049	43	46	traffic	traffic	NOUN
ajst-5049	43	47	in	in	ADP
ajst-5049	43	48	the	the	DET
ajst-5049	43	49	morning	morning	NOUN
ajst-5049	43	50	peak	peak	NOUN
ajst-5049	43	51	period	period	NOUN
ajst-5049	43	52	,	,	PUNCT
ajst-5049	43	53	the	the	DET
ajst-5049	43	54	sum	sum	NOUN
ajst-5049	43	55	of	of	ADP
ajst-5049	43	56	daily	daily	ADJ
ajst-5049	43	57	trough	trough	NOUN
ajst-5049	43	58	traffic	traffic	NOUN
ajst-5049	43	59	and	and	CCONJ
ajst-5049	43	60	the	the	DET
ajst-5049	43	61	sum	sum	NOUN
ajst-5049	43	62	of	of	ADP
ajst-5049	43	63	daily	daily	ADJ
ajst-5049	43	64	peak	peak	NOUN
ajst-5049	43	65	traffic	traffic	NOUN
ajst-5049	43	66	,	,	PUNCT
ajst-5049	43	67	denoted	denote	VERB
ajst-5049	43	68	as	as	ADP
ajst-5049	43	69	:	:	PUNCT
ajst-5049	43	70	1	1	NUM
ajst-5049	43	71	11	11	NUM
ajst-5049	43	72	12	12	NUM
ajst-5049	43	73	1	1	NUM
ajst-5049	43	74	2	2	NUM
ajst-5049	43	75	21	21	NUM
ajst-5049	43	76	22	22	NUM
ajst-5049	43	77	2	2	NUM
ajst-5049	43	78	1	1	NUM
ajst-5049	43	79	2	2	NUM
ajst-5049	43	80	...	...	PUNCT
ajst-5049	43	81	...	...	PUNCT
ajst-5049	43	82	...	...	PUNCT
ajst-5049	43	83	...	...	PUNCT
ajst-5049	43	84	...	...	PUNCT
ajst-5049	43	85	...	...	PUNCT
ajst-5049	43	86	...	...	PUNCT
ajst-5049	43	87	...	...	PUNCT
ajst-5049	44	1	n	n	CCONJ
ajst-5049	44	2	n	n	CCONJ
ajst-5049	44	3	m	m	VERB
ajst-5049	44	4	m	m	VERB
ajst-5049	44	5	m	m	VERB
ajst-5049	44	6	mn	mn	NOUN
ajst-5049	44	7	x	x	PUNCT
ajst-5049	44	8	x	x	PUNCT
ajst-5049	44	9	x	x	PUNCT
ajst-5049	44	10	x	x	PUNCT
ajst-5049	44	11	x	x	PUNCT
ajst-5049	44	12	x	x	PUNCT
ajst-5049	44	13	x	x	PUNCT
ajst-5049	44	14	x	x	PUNCT
ajst-5049	44	15	x	x	PUNCT
ajst-5049	44	16	x	x	PUNCT
ajst-5049	44	17	x	x	SYM
ajst-5049	44	18	x	x	SYM
ajst-5049	44	19	x	x	SYM
ajst-5049	44	20			PROPN
ajst-5049	44	21			INTJ
ajst-5049	44	22			PROPN
ajst-5049	44	23			ADJ
ajst-5049	44	24			NOUN
ajst-5049	44	25			PROPN
ajst-5049	44	26			NOUN
ajst-5049	44	27			NOUN
ajst-5049	44	28			NOUN
ajst-5049	44	29			NOUN
ajst-5049	44	30			NOUN
ajst-5049	45	1			NOUN
ajst-5049	45	2			NUM
ajst-5049	45	3			NOUN
ajst-5049	45	4			NOUN
ajst-5049	45	5			NOUN
ajst-5049	45	6			NOUN
ajst-5049	45	7			NOUN
ajst-5049	45	8			NOUN
ajst-5049	45	9			NOUN
ajst-5049	45	10			NOUN
ajst-5049	45	11			NOUN
ajst-5049	45	12			PROPN
ajst-5049	45	13			NOUN
ajst-5049	45	14			PROPN
ajst-5049	45	15	(	(	PUNCT
ajst-5049	45	16	1	1	X
ajst-5049	45	17	)	)	PUNCT
ajst-5049	45	18	the	the	DET
ajst-5049	45	19	matrix	matrix	NOUN
ajst-5049	45	20	has	have	VERB
ajst-5049	45	21	m	m	PROPN
ajst-5049	45	22	data	data	NOUN
ajst-5049	45	23	samples	sample	NOUN
ajst-5049	45	24	and	and	CCONJ
ajst-5049	45	25	n	n	PRON
ajst-5049	45	26	feature	feature	NOUN
ajst-5049	45	27	indicators	indicator	NOUN
ajst-5049	45	28	.	.	PUNCT
ajst-5049	46	1	1	1	NUM
ajst-5049	46	2	2	2	NUM
ajst-5049	46	3	[	[	PUNCT
ajst-5049	46	4	,	,	PUNCT
ajst-5049	46	5	,	,	PUNCT
ajst-5049	46	6	...	...	PUNCT
ajst-5049	46	7	,	,	PUNCT
ajst-5049	46	8	]	]	X
ajst-5049	46	9	mx	mx	NOUN
ajst-5049	46	10	x	x	SYM
ajst-5049	46	11	x	x	X
ajst-5049	46	12	represents	represent	VERB
ajst-5049	46	13	each	each	DET
ajst-5049	46	14	data	datum	NOUN
ajst-5049	46	15	sample	sample	NOUN
ajst-5049	46	16	.	.	PUNCT
ajst-5049	47	1	3	3	X
ajst-5049	47	2	.	.	X
ajst-5049	47	3	clustering	cluster	VERB
ajst-5049	47	4	model	model	NOUN
ajst-5049	47	5	of	of	ADP
ajst-5049	47	6	traffic	traffic	NOUN
ajst-5049	47	7	similar	similar	ADJ
ajst-5049	47	8	days	day	NOUN
ajst-5049	47	9	based	base	VERB
ajst-5049	47	10	on	on	ADP
ajst-5049	47	11	hi	hi	PROPN
ajst-5049	47	12	-	-	PUNCT
ajst-5049	47	13	k	k	NOUN
ajst-5049	47	14	-	-	PUNCT
ajst-5049	47	15	means	means	NOUN
ajst-5049	47	16	algorithm	algorithm	NOUN
ajst-5049	47	17	3.1	3.1	NUM
ajst-5049	47	18	.	.	PUNCT
ajst-5049	48	1	algorithm	algorithm	NOUN
ajst-5049	48	2	overview	overview	NOUN
ajst-5049	48	3	clustering	cluster	VERB
ajst-5049	48	4	analysis	analysis	NOUN
ajst-5049	48	5	is	be	AUX
ajst-5049	48	6	one	one	NUM
ajst-5049	48	7	of	of	ADP
ajst-5049	48	8	the	the	DET
ajst-5049	48	9	data	data	NOUN
ajst-5049	48	10	mining	mining	NOUN
ajst-5049	48	11	techniques	technique	NOUN
ajst-5049	48	12	,	,	PUNCT
ajst-5049	48	13	which	which	PRON
ajst-5049	48	14	can	can	AUX
ajst-5049	48	15	be	be	AUX
ajst-5049	48	16	divided	divide	VERB
ajst-5049	48	17	into	into	ADP
ajst-5049	48	18	a	a	DET
ajst-5049	48	19	variety	variety	NOUN
ajst-5049	48	20	of	of	ADP
ajst-5049	48	21	clustering	clustering	ADJ
ajst-5049	48	22	algorithms	algorithm	NOUN
ajst-5049	48	23	.	.	PUNCT
ajst-5049	49	1	hierarchical	hierarchical	ADJ
ajst-5049	49	2	clustering	clustering	NOUN
ajst-5049	49	3	and	and	CCONJ
ajst-5049	49	4	k	k	NOUN
ajst-5049	49	5	-	-	PUNCT
ajst-5049	49	6	means	means	NOUN
ajst-5049	49	7	clustering	clustering	NOUN
ajst-5049	49	8	are	be	AUX
ajst-5049	49	9	widely	widely	ADV
ajst-5049	49	10	used	use	VERB
ajst-5049	49	11	because	because	SCONJ
ajst-5049	49	12	of	of	ADP
ajst-5049	49	13	their	their	PRON
ajst-5049	49	14	strong	strong	ADJ
ajst-5049	49	15	practicability	practicability	NOUN
ajst-5049	49	16	,	,	PUNCT
ajst-5049	49	17	but	but	CCONJ
ajst-5049	49	18	they	they	PRON
ajst-5049	49	19	also	also	ADV
ajst-5049	49	20	have	have	VERB
ajst-5049	49	21	their	their	PRON
ajst-5049	49	22	defects	defect	NOUN
ajst-5049	49	23	.	.	PUNCT
ajst-5049	50	1	the	the	DET
ajst-5049	50	2	typical	typical	ADJ
ajst-5049	50	3	feature	feature	NOUN
ajst-5049	50	4	of	of	ADP
ajst-5049	50	5	hierarchical	hierarchical	ADJ
ajst-5049	50	6	clustering	clustering	NOUN
ajst-5049	50	7	is	be	AUX
ajst-5049	50	8	that	that	SCONJ
ajst-5049	50	9	clustering	clustering	NOUN
ajst-5049	50	10	occurs	occur	VERB
ajst-5049	50	11	spontaneously	spontaneously	ADV
ajst-5049	50	12	,	,	PUNCT
ajst-5049	50	13	but	but	CCONJ
ajst-5049	50	14	once	once	ADV
ajst-5049	50	15	the	the	DET
ajst-5049	50	16	merging	merging	NOUN
ajst-5049	50	17	of	of	ADP
ajst-5049	50	18	two	two	NUM
ajst-5049	50	19	clusters	cluster	NOUN
ajst-5049	50	20	is	be	AUX
ajst-5049	50	21	performed	perform	VERB
ajst-5049	50	22	,	,	PUNCT
ajst-5049	50	23	it	it	PRON
ajst-5049	50	24	can	can	AUX
ajst-5049	50	25	not	not	PART
ajst-5049	50	26	be	be	AUX
ajst-5049	50	27	corrected[16	corrected[16	NOUN
ajst-5049	50	28	]	]	X
ajst-5049	50	29	.	.	PUNCT
ajst-5049	51	1	it	it	PRON
ajst-5049	51	2	can	can	AUX
ajst-5049	51	3	be	be	AUX
ajst-5049	51	4	seen	see	VERB
ajst-5049	51	5	that	that	SCONJ
ajst-5049	51	6	the	the	DET
ajst-5049	51	7	biggest	big	ADJ
ajst-5049	51	8	advantage	advantage	NOUN
ajst-5049	51	9	of	of	ADP
ajst-5049	51	10	hierarchical	hierarchical	ADJ
ajst-5049	51	11	clustering	clustering	NOUN
ajst-5049	51	12	is	be	AUX
ajst-5049	51	13	that	that	SCONJ
ajst-5049	51	14	it	it	PRON
ajst-5049	51	15	does	do	AUX
ajst-5049	51	16	not	not	PART
ajst-5049	51	17	need	need	VERB
ajst-5049	51	18	to	to	PART
ajst-5049	51	19	specify	specify	VERB
ajst-5049	51	20	the	the	DET
ajst-5049	51	21	number	number	NOUN
ajst-5049	51	22	of	of	ADP
ajst-5049	51	23	clusters	cluster	NOUN
ajst-5049	51	24	in	in	ADP
ajst-5049	51	25	advance	advance	NOUN
ajst-5049	51	26	,	,	PUNCT
ajst-5049	51	27	and	and	CCONJ
ajst-5049	51	28	can	can	AUX
ajst-5049	51	29	form	form	VERB
ajst-5049	51	30	a	a	DET
ajst-5049	51	31	clustering	cluster	VERB
ajst-5049	51	32	tree	tree	NOUN
ajst-5049	51	33	directly	directly	ADV
ajst-5049	51	34	according	accord	VERB
ajst-5049	51	35	to	to	ADP
ajst-5049	51	36	a	a	DET
ajst-5049	51	37	given	give	VERB
ajst-5049	51	38	distance	distance	NOUN
ajst-5049	51	39	metric	metric	ADJ
ajst-5049	51	40	criterion	criterion	NOUN
ajst-5049	51	41	,	,	PUNCT
ajst-5049	51	42	but	but	CCONJ
ajst-5049	51	43	this	this	PRON
ajst-5049	51	44	will	will	AUX
ajst-5049	51	45	also	also	ADV
ajst-5049	51	46	lead	lead	VERB
ajst-5049	51	47	to	to	ADP
ajst-5049	51	48	a	a	DET
ajst-5049	51	49	large	large	ADJ
ajst-5049	51	50	error	error	NOUN
ajst-5049	51	51	in	in	ADP
ajst-5049	51	52	clustering	clustering	ADJ
ajst-5049	51	53	results	result	NOUN
ajst-5049	51	54	.	.	PUNCT
ajst-5049	52	1	k	k	X
ajst-5049	52	2	-	-	PUNCT
ajst-5049	52	3	means	mean	VERB
ajst-5049	52	4	clustering	clustering	NOUN
ajst-5049	52	5	has	have	VERB
ajst-5049	52	6	the	the	DET
ajst-5049	52	7	advantages	advantage	NOUN
ajst-5049	52	8	of	of	ADP
ajst-5049	52	9	high	high	ADJ
ajst-5049	52	10	time	time	NOUN
ajst-5049	52	11	efficiency	efficiency	NOUN
ajst-5049	52	12	,	,	PUNCT
ajst-5049	52	13	easy	easy	ADJ
ajst-5049	52	14	description	description	NOUN
ajst-5049	52	15	,	,	PUNCT
ajst-5049	52	16	and	and	CCONJ
ajst-5049	52	17	good	good	ADJ
ajst-5049	52	18	clustering	clustering	ADJ
ajst-5049	52	19	effect[17	effect[17	PROPN
ajst-5049	52	20	]	]	PUNCT
ajst-5049	52	21	,	,	PUNCT
ajst-5049	52	22	which	which	PRON
ajst-5049	52	23	can	can	AUX
ajst-5049	52	24	effectively	effectively	ADV
ajst-5049	52	25	make	make	VERB
ajst-5049	52	26	up	up	ADP
ajst-5049	52	27	for	for	ADP
ajst-5049	52	28	the	the	DET
ajst-5049	52	29	shortcomings	shortcoming	NOUN
ajst-5049	52	30	of	of	ADP
ajst-5049	52	31	hierarchical	hierarchical	ADJ
ajst-5049	52	32	clustering	clustering	NOUN
ajst-5049	52	33	.	.	PUNCT
ajst-5049	53	1	however	however	ADV
ajst-5049	53	2	,	,	PUNCT
ajst-5049	53	3	the	the	DET
ajst-5049	53	4	kmeans	kmeans	PROPN
ajst-5049	53	5	algorithm	algorithm	NOUN
ajst-5049	53	6	needs	need	VERB
ajst-5049	53	7	to	to	PART
ajst-5049	53	8	specify	specify	VERB
ajst-5049	53	9	the	the	DET
ajst-5049	53	10	number	number	NOUN
ajst-5049	53	11	of	of	ADP
ajst-5049	53	12	clusters	cluster	NOUN
ajst-5049	53	13	k	k	PROPN
ajst-5049	53	14	in	in	ADP
ajst-5049	53	15	advance	advance	NOUN
ajst-5049	53	16	before	before	ADP
ajst-5049	53	17	clustering	cluster	VERB
ajst-5049	53	18	.	.	PUNCT
ajst-5049	54	1	therefore	therefore	ADV
ajst-5049	54	2	,	,	PUNCT
ajst-5049	54	3	the	the	DET
ajst-5049	54	4	k	k	PROPN
ajst-5049	54	5	value	value	NOUN
ajst-5049	54	6	is	be	AUX
ajst-5049	54	7	determined	determine	VERB
ajst-5049	54	8	by	by	ADP
ajst-5049	54	9	hierarchical	hierarchical	ADJ
ajst-5049	54	10	clustering	clustering	NOUN
ajst-5049	54	11	,	,	PUNCT
ajst-5049	54	12	which	which	PRON
ajst-5049	54	13	can	can	AUX
ajst-5049	54	14	make	make	VERB
ajst-5049	54	15	up	up	ADP
ajst-5049	54	16	for	for	ADP
ajst-5049	54	17	the	the	DET
ajst-5049	54	18	deficiency	deficiency	NOUN
ajst-5049	54	19	.	.	PUNCT
ajst-5049	55	1	therefore	therefore	ADV
ajst-5049	55	2	,	,	PUNCT
ajst-5049	55	3	this	this	DET
ajst-5049	55	4	paper	paper	NOUN
ajst-5049	55	5	combines	combine	VERB
ajst-5049	55	6	hierarchical	hierarchical	ADJ
ajst-5049	55	7	clustering	clustering	NOUN
ajst-5049	55	8	and	and	CCONJ
ajst-5049	55	9	k	k	NOUN
ajst-5049	55	10	-	-	PUNCT
ajst-5049	55	11	means	means	NOUN
ajst-5049	55	12	clustering	cluster	VERB
ajst-5049	55	13	to	to	PART
ajst-5049	55	14	propose	propose	VERB
ajst-5049	55	15	a	a	DET
ajst-5049	55	16	traffic	traffic	NOUN
ajst-5049	55	17	-	-	PUNCT
ajst-5049	55	18	similar	similar	ADJ
ajst-5049	55	19	day	day	NOUN
ajst-5049	55	20	clustering	clustering	NOUN
ajst-5049	55	21	model	model	NOUN
ajst-5049	55	22	based	base	VERB
ajst-5049	55	23	on	on	ADP
ajst-5049	55	24	the	the	DET
ajst-5049	55	25	hi	hi	PROPN
ajst-5049	55	26	-	-	PUNCT
ajst-5049	55	27	k	k	ADJ
ajst-5049	55	28	-	-	PUNCT
ajst-5049	55	29	means	means	NOUN
ajst-5049	55	30	algorithm	algorithm	NOUN
ajst-5049	55	31	.	.	PUNCT
ajst-5049	56	1	by	by	ADP
ajst-5049	56	2	visualizing	visualize	VERB
ajst-5049	56	3	the	the	DET
ajst-5049	56	4	clustering	cluster	VERB
ajst-5049	56	5	tree	tree	NOUN
ajst-5049	56	6	obtained	obtain	VERB
ajst-5049	56	7	by	by	ADP
ajst-5049	56	8	hierarchical	hierarchical	ADJ
ajst-5049	56	9	clustering	clustering	NOUN
ajst-5049	56	10	,	,	PUNCT
ajst-5049	56	11	the	the	DET
ajst-5049	56	12	value	value	NOUN
ajst-5049	56	13	range	range	NOUN
ajst-5049	56	14	of	of	ADP
ajst-5049	56	15	clustering	clustering	ADJ
ajst-5049	56	16	number	number	NOUN
ajst-5049	56	17	k	k	PROPN
ajst-5049	56	18	can	can	AUX
ajst-5049	56	19	be	be	AUX
ajst-5049	56	20	obtained	obtain	VERB
ajst-5049	56	21	.	.	PUNCT
ajst-5049	57	1	the	the	DET
ajst-5049	57	2	convergence	convergence	NOUN
ajst-5049	57	3	of	of	ADP
ajst-5049	57	4	the	the	DET
ajst-5049	57	5	two	two	NUM
ajst-5049	57	6	clustering	clustering	ADJ
ajst-5049	57	7	algorithms	algorithms	NOUN
ajst-5049	57	8	is	be	AUX
ajst-5049	57	9	to	to	PART
ajst-5049	57	10	use	use	VERB
ajst-5049	57	11	the	the	DET
ajst-5049	57	12	evaluation	evaluation	NOUN
ajst-5049	57	13	index	index	NOUN
ajst-5049	57	14	to	to	PART
ajst-5049	57	15	evaluate	evaluate	VERB
ajst-5049	57	16	the	the	DET
ajst-5049	57	17	k	k	NOUN
ajst-5049	57	18	-	-	PUNCT
ajst-5049	57	19	means	mean	VERB
ajst-5049	57	20	clustering	clustering	NOUN
ajst-5049	57	21	results	result	NOUN
ajst-5049	57	22	of	of	ADP
ajst-5049	57	23	each	each	DET
ajst-5049	57	24	cluster	cluster	NOUN
ajst-5049	57	25	number	number	NOUN
ajst-5049	57	26	k	k	PROPN
ajst-5049	57	27	within	within	ADP
ajst-5049	57	28	the	the	DET
ajst-5049	57	29	value	value	NOUN
ajst-5049	57	30	range	range	NOUN
ajst-5049	57	31	,	,	PUNCT
ajst-5049	57	32	and	and	CCONJ
ajst-5049	57	33	finally	finally	ADV
ajst-5049	57	34	select	select	VERB
ajst-5049	57	35	the	the	DET
ajst-5049	57	36	k	k	PROPN
ajst-5049	57	37	value	value	NOUN
ajst-5049	57	38	corresponding	correspond	VERB
ajst-5049	57	39	to	to	ADP
ajst-5049	57	40	the	the	DET
ajst-5049	57	41	optimal	optimal	ADJ
ajst-5049	57	42	clustering	clustering	ADJ
ajst-5049	57	43	results	result	NOUN
ajst-5049	57	44	.	.	PUNCT
ajst-5049	58	1	the	the	DET
ajst-5049	58	2	original	original	ADJ
ajst-5049	58	3	intention	intention	NOUN
ajst-5049	58	4	of	of	ADP
ajst-5049	58	5	the	the	DET
ajst-5049	58	6	design	design	NOUN
ajst-5049	58	7	of	of	ADP
ajst-5049	58	8	the	the	DET
ajst-5049	58	9	evaluation	evaluation	NOUN
ajst-5049	58	10	index	index	NOUN
ajst-5049	58	11	is	be	AUX
ajst-5049	58	12	not	not	PART
ajst-5049	58	13	designed	design	VERB
ajst-5049	58	14	for	for	ADP
ajst-5049	58	15	a	a	DET
ajst-5049	58	16	single	single	ADJ
ajst-5049	58	17	algorithm[10	algorithm[10	NOUN
ajst-5049	58	18	]	]	PUNCT
ajst-5049	58	19	,	,	PUNCT
ajst-5049	58	20	so	so	CCONJ
ajst-5049	58	21	it	it	PRON
ajst-5049	58	22	is	be	AUX
ajst-5049	58	23	inevitable	inevitable	ADJ
ajst-5049	58	24	to	to	PART
ajst-5049	58	25	have	have	VERB
ajst-5049	58	26	subjective	subjective	ADJ
ajst-5049	58	27	factors	factor	NOUN
ajst-5049	58	28	to	to	PART
ajst-5049	58	29	evaluate	evaluate	VERB
ajst-5049	58	30	the	the	DET
ajst-5049	58	31	clustering	clustering	ADJ
ajst-5049	58	32	effect	effect	NOUN
ajst-5049	58	33	only	only	ADV
ajst-5049	58	34	with	with	ADP
ajst-5049	58	35	one	one	NUM
ajst-5049	58	36	or	or	CCONJ
ajst-5049	58	37	several	several	ADJ
ajst-5049	58	38	indicators	indicator	NOUN
ajst-5049	58	39	.	.	PUNCT
ajst-5049	59	1	in	in	ADP
ajst-5049	59	2	this	this	DET
ajst-5049	59	3	paper	paper	NOUN
ajst-5049	59	4	,	,	PUNCT
ajst-5049	59	5	19	19	NUM
ajst-5049	59	6	evaluation	evaluation	NOUN
ajst-5049	59	7	indexes	index	NOUN
ajst-5049	59	8	such	such	ADJ
ajst-5049	59	9	as	as	ADP
ajst-5049	59	10	silhouette	silhouette	NOUN
ajst-5049	59	11	coefficient	coefficient	NOUN
ajst-5049	59	12	,	,	PUNCT
ajst-5049	59	13	davies	davy	NOUN
ajst-5049	59	14	-	-	PUNCT
ajst-5049	59	15	bouldin	bouldin	NOUN
ajst-5049	59	16	index	index	NOUN
ajst-5049	59	17	,	,	PUNCT
ajst-5049	59	18	kl	kl	NOUN
ajst-5049	59	19	-	-	NOUN
ajst-5049	59	20	divergence	divergence	NOUN
ajst-5049	59	21	,	,	PUNCT
ajst-5049	59	22	and	and	CCONJ
ajst-5049	59	23	dunn	dunn	PROPN
ajst-5049	59	24	in	in	ADP
ajst-5049	59	25	the	the	DET
ajst-5049	59	26	r	r	NOUN
ajst-5049	59	27	language	language	NOUN
ajst-5049	59	28	nbclust	nbclust	NOUN
ajst-5049	59	29	package	package	NOUN
ajst-5049	59	30	are	be	AUX
ajst-5049	59	31	used	use	VERB
ajst-5049	59	32	to	to	PART
ajst-5049	59	33	evaluate	evaluate	VERB
ajst-5049	59	34	the	the	DET
ajst-5049	59	35	k	k	NOUN
ajst-5049	59	36	-	-	PUNCT
ajst-5049	59	37	means	mean	VERB
ajst-5049	59	38	clustering	clustering	NOUN
ajst-5049	59	39	results	result	NOUN
ajst-5049	59	40	.	.	PUNCT
ajst-5049	60	1	each	each	DET
ajst-5049	60	2	index	index	NOUN
ajst-5049	60	3	will	will	AUX
ajst-5049	60	4	calculate	calculate	VERB
ajst-5049	60	5	the	the	DET
ajst-5049	60	6	value	value	NOUN
ajst-5049	60	7	of	of	ADP
ajst-5049	60	8	the	the	DET
ajst-5049	60	9	optimal	optimal	ADJ
ajst-5049	60	10	clustering	clustering	NOUN
ajst-5049	60	11	number	number	NOUN
ajst-5049	60	12	k	k	PROPN
ajst-5049	60	13	based	base	VERB
ajst-5049	60	14	on	on	ADP
ajst-5049	60	15	its	its	PRON
ajst-5049	60	16	calculation	calculation	NOUN
ajst-5049	60	17	method	method	NOUN
ajst-5049	60	18	.	.	PUNCT
ajst-5049	61	1	the	the	DET
ajst-5049	61	2	k	k	PROPN
ajst-5049	61	3	value	value	NOUN
ajst-5049	61	4	with	with	ADP
ajst-5049	61	5	the	the	DET
ajst-5049	61	6	highest	high	ADJ
ajst-5049	61	7	number	number	NOUN
ajst-5049	61	8	of	of	ADP
ajst-5049	61	9	occurrences	occurrence	NOUN
ajst-5049	61	10	after	after	ADP
ajst-5049	61	11	the	the	DET
ajst-5049	61	12	calculation	calculation	NOUN
ajst-5049	61	13	of	of	ADP
ajst-5049	61	14	all	all	DET
ajst-5049	61	15	indicators	indicator	NOUN
ajst-5049	61	16	is	be	AUX
ajst-5049	61	17	input	input	VERB
ajst-5049	61	18	into	into	ADP
ajst-5049	61	19	the	the	DET
ajst-5049	61	20	k	k	NOUN
ajst-5049	61	21	-	-	PUNCT
ajst-5049	61	22	means	mean	VERB
ajst-5049	61	23	clustering	cluster	VERB
ajst-5049	61	24	algorithm	algorithm	NOUN
ajst-5049	61	25	again	again	ADV
ajst-5049	61	26	,	,	PUNCT
ajst-5049	61	27	and	and	CCONJ
ajst-5049	61	28	the	the	DET
ajst-5049	61	29	final	final	ADJ
ajst-5049	61	30	optimal	optimal	ADJ
ajst-5049	61	31	clustering	clustering	NOUN
ajst-5049	61	32	result	result	NOUN
ajst-5049	61	33	can	can	AUX
ajst-5049	61	34	be	be	AUX
ajst-5049	61	35	obtained	obtain	VERB
ajst-5049	61	36	.	.	PUNCT
ajst-5049	62	1	3.2	3.2	NUM
ajst-5049	62	2	.	.	PUNCT
ajst-5049	63	1	model	model	NOUN
ajst-5049	63	2	construction	construction	NOUN
ajst-5049	63	3	based	base	VERB
ajst-5049	63	4	on	on	ADP
ajst-5049	63	5	the	the	DET
ajst-5049	63	6	above	above	ADJ
ajst-5049	63	7	hi	hi	PROPN
ajst-5049	63	8	-	-	PUNCT
ajst-5049	63	9	k	k	ADJ
ajst-5049	63	10	-	-	PUNCT
ajst-5049	63	11	means	means	NOUN
ajst-5049	63	12	algorithm	algorithm	NOUN
ajst-5049	63	13	,	,	PUNCT
ajst-5049	63	14	clustering	clustering	NOUN
ajst-5049	63	15	is	be	AUX
ajst-5049	63	16	performed	perform	VERB
ajst-5049	63	17	according	accord	VERB
ajst-5049	63	18	to	to	ADP
ajst-5049	63	19	the	the	DET
ajst-5049	63	20	daily	daily	ADJ
ajst-5049	63	21	traffic	traffic	NOUN
ajst-5049	63	22	characteristic	characteristic	ADJ
ajst-5049	63	23	indicators	indicator	NOUN
ajst-5049	63	24	,	,	PUNCT
ajst-5049	63	25	and	and	CCONJ
ajst-5049	63	26	each	each	DET
ajst-5049	63	27	cluster	cluster	NOUN
ajst-5049	63	28	in	in	ADP
ajst-5049	63	29	the	the	DET
ajst-5049	63	30	clustering	clustering	ADJ
ajst-5049	63	31	result	result	NOUN
ajst-5049	63	32	represents	represent	VERB
ajst-5049	63	33	a	a	DET
ajst-5049	63	34	similar	similar	ADJ
ajst-5049	63	35	day	day	NOUN
ajst-5049	63	36	.	.	PUNCT
ajst-5049	64	1	the	the	DET
ajst-5049	64	2	specific	specific	ADJ
ajst-5049	64	3	steps	step	NOUN
ajst-5049	64	4	of	of	ADP
ajst-5049	64	5	model	model	NOUN
ajst-5049	64	6	construction	construction	NOUN
ajst-5049	64	7	are	be	AUX
ajst-5049	64	8	as	as	SCONJ
ajst-5049	64	9	follows	follow	VERB
ajst-5049	64	10	:	:	PUNCT
ajst-5049	64	11	step	step	NOUN
ajst-5049	64	12	1	1	NUM
ajst-5049	64	13	:	:	PUNCT
ajst-5049	64	14	use	use	VERB
ajst-5049	64	15	equation	equation	NOUN
ajst-5049	64	16	(	(	PUNCT
ajst-5049	64	17	2	2	NUM
ajst-5049	64	18	)	)	PUNCT
ajst-5049	64	19	to	to	PART
ajst-5049	64	20	normalize	normalize	VERB
ajst-5049	64	21	the	the	DET
ajst-5049	64	22	daily	daily	ADJ
ajst-5049	64	23	traffic	traffic	NOUN
ajst-5049	64	24	characteristic	characteristic	ADJ
ajst-5049	64	25	indicators	indicator	NOUN
ajst-5049	64	26	data	datum	NOUN
ajst-5049	64	27	to	to	PART
ajst-5049	64	28	balance	balance	VERB
ajst-5049	64	29	the	the	DET
ajst-5049	64	30	weight	weight	NOUN
ajst-5049	64	31	of	of	ADP
ajst-5049	64	32	each	each	DET
ajst-5049	64	33	value	value	NOUN
ajst-5049	64	34	;	;	PUNCT
ajst-5049	64	35	,	,	PUNCT
ajst-5049	64	36	min	min	NOUN
ajst-5049	64	37	,	,	PUNCT
ajst-5049	64	38	,	,	PUNCT
ajst-5049	64	39	max	max	PROPN
ajst-5049	64	40	,	,	PUNCT
ajst-5049	65	1	min	min	PROPN
ajst-5049	65	2	ij	ij	INTJ
ajst-5049	65	3	j	j	PROPN
ajst-5049	65	4	ij	ij	INTJ
ajst-5049	65	5	scale	scale	PROPN
ajst-5049	65	6	j	j	PROPN
ajst-5049	65	7	j	j	PROPN
ajst-5049	66	1	x	x	PUNCT
ajst-5049	66	2	x	x	PUNCT
ajst-5049	66	3	x	x	PUNCT
ajst-5049	66	4	x	x	PUNCT
ajst-5049	66	5	x	x	SYM
ajst-5049	66	6			PROPN
ajst-5049	66	7			NUM
ajst-5049	66	8			NOUN
ajst-5049	66	9	(	(	PUNCT
ajst-5049	66	10	2	2	NUM
ajst-5049	66	11	)	)	PUNCT
ajst-5049	66	12	j	j	PROPN
ajst-5049	66	13	is	be	AUX
ajst-5049	66	14	the	the	DET
ajst-5049	66	15	jth	jth	PROPN
ajst-5049	66	16	traffic	traffic	NOUN
ajst-5049	66	17	characteristic	characteristic	ADJ
ajst-5049	66	18	indicator	indicator	NOUN
ajst-5049	66	19	,	,	PUNCT
ajst-5049	66	20	1	1	NUM
ajst-5049	66	21	j	j	PROPN
ajst-5049	66	22	n	n	X
ajst-5049	66	23			NOUN
ajst-5049	66	24	;	;	PUNCT
ajst-5049	66	25	ijx	ijx	NOUN
ajst-5049	66	26	is	be	AUX
ajst-5049	66	27	the	the	DET
ajst-5049	66	28	ith	ith	PROPN
ajst-5049	66	29	sample	sample	NOUN
ajst-5049	66	30	corresponding	correspond	VERB
ajst-5049	66	31	to	to	ADP
ajst-5049	66	32	the	the	DET
ajst-5049	66	33	jth	jth	PROPN
ajst-5049	66	34	indicator	indicator	NOUN
ajst-5049	66	35	,	,	PUNCT
ajst-5049	66	36	1	1	NUM
ajst-5049	66	37	i	i	PRON
ajst-5049	66	38	m	m	VERB
ajst-5049	66	39			NOUN
ajst-5049	66	40	;	;	PUNCT
ajst-5049	66	41	,	,	PUNCT
ajst-5049	66	42	minjx	minjx	PROPN
ajst-5049	66	43	is	be	AUX
ajst-5049	66	44	the	the	DET
ajst-5049	66	45	minimum	minimum	ADJ
ajst-5049	66	46	value	value	NOUN
ajst-5049	66	47	of	of	ADP
ajst-5049	66	48	the	the	DET
ajst-5049	66	49	indicator	indicator	NOUN
ajst-5049	66	50	j	j	PROPN
ajst-5049	66	51	corresponding	correspond	VERB
ajst-5049	66	52	to	to	ADP
ajst-5049	66	53	the	the	DET
ajst-5049	66	54	column	column	NOUN
ajst-5049	66	55	data	datum	NOUN
ajst-5049	66	56	;	;	PUNCT
ajst-5049	66	57	,	,	PUNCT
ajst-5049	66	58	maxjx	maxjx	PROPN
ajst-5049	66	59	is	be	AUX
ajst-5049	66	60	the	the	DET
ajst-5049	66	61	maximum	maximum	ADJ
ajst-5049	66	62	value	value	NOUN
ajst-5049	66	63	of	of	ADP
ajst-5049	66	64	the	the	DET
ajst-5049	66	65	indicator	indicator	NOUN
ajst-5049	66	66	j	j	PROPN
ajst-5049	66	67	corresponding	correspond	VERB
ajst-5049	66	68	to	to	ADP
ajst-5049	66	69	the	the	DET
ajst-5049	66	70	column	column	NOUN
ajst-5049	66	71	data	datum	NOUN
ajst-5049	66	72	;	;	PUNCT
ajst-5049	66	73	,	,	PUNCT
ajst-5049	66	74	ij	ij	INTJ
ajst-5049	66	75	scalex	scalex	NOUN
ajst-5049	66	76	is	be	AUX
ajst-5049	66	77	the	the	DET
ajst-5049	66	78	normalized	normalize	VERB
ajst-5049	66	79	traffic	traffic	NOUN
ajst-5049	66	80	characteristic	characteristic	ADJ
ajst-5049	66	81	data	datum	NOUN
ajst-5049	66	82	value	value	NOUN
ajst-5049	66	83	;	;	PUNCT
ajst-5049	66	84	the	the	DET
ajst-5049	66	85	standardized	standardized	ADJ
ajst-5049	66	86	characteristic	characteristic	ADJ
ajst-5049	66	87	indicator	indicator	NOUN
ajst-5049	66	88	matrix	matrix	NOUN
ajst-5049	66	89	is	be	AUX
ajst-5049	66	90	'	'	PUNCT
ajst-5049	66	91	x	x	X
ajst-5049	66	92	.	.	PUNCT
ajst-5049	67	1	step	step	NOUN
ajst-5049	67	2	2	2	NUM
ajst-5049	67	3	:	:	PUNCT
ajst-5049	67	4	let	let	VERB
ajst-5049	67	5	each	each	DET
ajst-5049	67	6	sample	sample	NOUN
ajst-5049	67	7	in	in	ADP
ajst-5049	67	8	'	'	PUNCT
ajst-5049	67	9	x	x	VERB
ajst-5049	67	10	be	be	AUX
ajst-5049	67	11	an	an	DET
ajst-5049	67	12	initial	initial	ADJ
ajst-5049	67	13	cluster	cluster	NOUN
ajst-5049	67	14	,	,	PUNCT
ajst-5049	67	15	that	that	ADV
ajst-5049	67	16	is	is	ADV
ajst-5049	67	17	,	,	PUNCT
ajst-5049	67	18	the	the	DET
ajst-5049	67	19	number	number	NOUN
ajst-5049	67	20	of	of	ADP
ajst-5049	67	21	initial	initial	ADJ
ajst-5049	67	22	clusters	cluster	NOUN
ajst-5049	67	23	is	be	AUX
ajst-5049	67	24	the	the	DET
ajst-5049	67	25	same	same	ADJ
ajst-5049	67	26	as	as	ADP
ajst-5049	67	27	the	the	DET
ajst-5049	67	28	number	number	NOUN
ajst-5049	67	29	of	of	ADP
ajst-5049	67	30	samples	sample	NOUN
ajst-5049	67	31	,	,	PUNCT
ajst-5049	67	32	which	which	PRON
ajst-5049	67	33	is	be	AUX
ajst-5049	67	34	m	m	PRON
ajst-5049	67	35	;	;	PUNCT
ajst-5049	67	36	step	step	VERB
ajst-5049	67	37	3	3	NUM
ajst-5049	67	38	:	:	PUNCT
ajst-5049	67	39	the	the	DET
ajst-5049	67	40	average	average	ADJ
ajst-5049	67	41	distance	distance	NOUN
ajst-5049	67	42	method	method	NOUN
ajst-5049	67	43	is	be	AUX
ajst-5049	67	44	used	use	VERB
ajst-5049	67	45	to	to	PART
ajst-5049	67	46	calculate	calculate	VERB
ajst-5049	67	47	the	the	DET
ajst-5049	67	48	distance	distance	NOUN
ajst-5049	67	49	between	between	ADP
ajst-5049	67	50	each	each	DET
ajst-5049	67	51	cluster	cluster	NOUN
ajst-5049	67	52	,	,	PUNCT
ajst-5049	67	53	that	that	ADV
ajst-5049	67	54	is	is	ADV
ajst-5049	68	1	,	,	PUNCT
ajst-5049	68	2	the	the	DET
ajst-5049	68	3	sample	sample	NOUN
ajst-5049	68	4	similarity	similarity	NOUN
ajst-5049	68	5	:	:	PUNCT
ajst-5049	68	6	1	1	NUM
ajst-5049	68	7	(	(	PUNCT
ajst-5049	68	8	,	,	PUNCT
ajst-5049	68	9	)	)	PUNCT
ajst-5049	68	10	|	|	ADV
ajst-5049	68	11	'	'	PUNCT
ajst-5049	68	12	'	'	PUNCT
ajst-5049	69	1	|	|	ADV
ajst-5049	69	2	e	e	X
ajst-5049	69	3	f	f	PROPN
ajst-5049	69	4	g	g	PROPN
ajst-5049	69	5	h	h	PROPN
ajst-5049	69	6	avg	avg	PROPN
ajst-5049	69	7	f	f	PROPN
ajst-5049	69	8	h	h	NOUN
ajst-5049	69	9	e	e	NOUN
ajst-5049	69	10	g	g	NOUN
ajst-5049	69	11	x	x	X
ajst-5049	69	12	c	c	NOUN
ajst-5049	69	13	x	x	PUNCT
ajst-5049	69	14	cf	cf	NOUN
ajst-5049	69	15	h	h	NOUN
ajst-5049	70	1	d	d	NOUN
ajst-5049	70	2	z	z	NOUN
ajst-5049	70	3	z	z	NOUN
ajst-5049	70	4	x	x	SYM
ajst-5049	70	5	x	x	SYM
ajst-5049	70	6	n	n	CCONJ
ajst-5049	70	7	n	n	PROPN
ajst-5049	70	8			NOUN
ajst-5049	70	9			NOUN
ajst-5049	70	10			NUM
ajst-5049	70	11			X
ajst-5049	70	12			X
ajst-5049	70	13	(	(	PUNCT
ajst-5049	70	14	3	3	X
ajst-5049	70	15	)	)	PUNCT
ajst-5049	70	16	fz	fz	NOUN
ajst-5049	70	17	and	and	CCONJ
ajst-5049	70	18	hz	hz	PROPN
ajst-5049	70	19	are	be	AUX
ajst-5049	70	20	the	the	DET
ajst-5049	70	21	clusters	cluster	NOUN
ajst-5049	70	22	of	of	ADP
ajst-5049	70	23	samples	sample	NOUN
ajst-5049	70	24	in	in	ADP
ajst-5049	70	25	'	'	NUM
ajst-5049	70	26	x	x	X
ajst-5049	71	1	;	;	PUNCT
ajst-5049	71	2	fn	fn	NOUN
ajst-5049	71	3	is	be	AUX
ajst-5049	71	4	the	the	DET
ajst-5049	71	5	number	number	NOUN
ajst-5049	71	6	of	of	ADP
ajst-5049	71	7	samples	sample	NOUN
ajst-5049	71	8	in	in	ADP
ajst-5049	71	9	cluster	cluster	NOUN
ajst-5049	71	10	fz	fz	NOUN
ajst-5049	71	11	;	;	PUNCT
ajst-5049	71	12	hn	hn	PROPN
ajst-5049	71	13	is	be	AUX
ajst-5049	71	14	the	the	DET
ajst-5049	71	15	number	number	NOUN
ajst-5049	71	16	of	of	ADP
ajst-5049	71	17	samples	sample	NOUN
ajst-5049	71	18	in	in	ADP
ajst-5049	71	19	cluster	cluster	NOUN
ajst-5049	71	20	hz	hz	VERB
ajst-5049	71	21	;	;	PUNCT
ajst-5049	71	22	'	'	PUNCT
ajst-5049	71	23	ex	ex	X
ajst-5049	71	24	is	be	AUX
ajst-5049	71	25	the	the	DET
ajst-5049	71	26	sample	sample	NOUN
ajst-5049	71	27	in	in	ADP
ajst-5049	71	28	cluster	cluster	NOUN
ajst-5049	71	29	fz	fz	NOUN
ajst-5049	71	30	;	;	PUNCT
ajst-5049	71	31	and	and	CCONJ
ajst-5049	71	32	'	'	PUNCT
ajst-5049	71	33	gx	gx	PROPN
ajst-5049	71	34	is	be	AUX
ajst-5049	71	35	the	the	DET
ajst-5049	71	36	sample	sample	NOUN
ajst-5049	71	37	in	in	ADP
ajst-5049	71	38	cluster	cluster	NOUN
ajst-5049	71	39	hz	hz	VERB
ajst-5049	71	40	.	.	PUNCT
ajst-5049	72	1	step	step	NOUN
ajst-5049	72	2	4	4	NUM
ajst-5049	72	3	:	:	PUNCT
ajst-5049	72	4	find	find	VERB
ajst-5049	72	5	the	the	DET
ajst-5049	72	6	two	two	NUM
ajst-5049	72	7	clusters	cluster	NOUN
ajst-5049	72	8	with	with	ADP
ajst-5049	72	9	the	the	DET
ajst-5049	72	10	closest	close	ADJ
ajst-5049	72	11	average	average	ADJ
ajst-5049	72	12	distance	distance	NOUN
ajst-5049	72	13	and	and	CCONJ
ajst-5049	72	14	classify	classify	VERB
ajst-5049	72	15	them	they	PRON
ajst-5049	72	16	into	into	ADP
ajst-5049	72	17	one	one	NUM
ajst-5049	72	18	category	category	NOUN
ajst-5049	72	19	;	;	PUNCT
ajst-5049	72	20	step	step	NOUN
ajst-5049	72	21	5	5	NUM
ajst-5049	72	22	:	:	PUNCT
ajst-5049	72	23	repeat	repeat	VERB
ajst-5049	72	24	steps	step	NOUN
ajst-5049	72	25	3	3	NUM
ajst-5049	72	26	and	and	CCONJ
ajst-5049	72	27	4	4	NUM
ajst-5049	72	28	until	until	SCONJ
ajst-5049	72	29	all	all	DET
ajst-5049	72	30	samples	sample	NOUN
ajst-5049	72	31	are	be	AUX
ajst-5049	72	32	classified	classify	VERB
ajst-5049	72	33	into	into	ADP
ajst-5049	72	34	one	one	NUM
ajst-5049	72	35	category	category	NOUN
ajst-5049	72	36	to	to	PART
ajst-5049	72	37	obtain	obtain	VERB
ajst-5049	72	38	a	a	DET
ajst-5049	72	39	clustering	cluster	VERB
ajst-5049	72	40	tree	tree	NOUN
ajst-5049	72	41	;	;	PUNCT
ajst-5049	72	42	step	step	VERB
ajst-5049	72	43	6	6	NUM
ajst-5049	72	44	:	:	PUNCT
ajst-5049	72	45	visualize	visualize	VERB
ajst-5049	72	46	the	the	DET
ajst-5049	72	47	clustering	cluster	VERB
ajst-5049	72	48	tree	tree	NOUN
ajst-5049	72	49	and	and	CCONJ
ajst-5049	72	50	define	define	VERB
ajst-5049	72	51	the	the	DET
ajst-5049	72	52	threshold	threshold	NOUN
ajst-5049	72	53	distance	distance	NOUN
ajst-5049	72	54	to	to	PART
ajst-5049	72	55	obtain	obtain	VERB
ajst-5049	72	56	the	the	DET
ajst-5049	72	57	value	value	NOUN
ajst-5049	72	58	range	range	NOUN
ajst-5049	72	59	of	of	ADP
ajst-5049	72	60	the	the	DET
ajst-5049	72	61	number	number	NOUN
ajst-5049	72	62	of	of	ADP
ajst-5049	72	63	clusters	cluster	NOUN
ajst-5049	72	64	k	k	NOUN
ajst-5049	72	65	;	;	PUNCT
ajst-5049	72	66	step	step	NOUN
ajst-5049	72	67	7	7	NUM
ajst-5049	72	68	:	:	PUNCT
ajst-5049	72	69	the	the	DET
ajst-5049	72	70	selected	select	VERB
ajst-5049	72	71	19	19	NUM
ajst-5049	72	72	evaluation	evaluation	NOUN
ajst-5049	72	73	indexes	index	NOUN
ajst-5049	72	74	are	be	AUX
ajst-5049	72	75	sorted	sort	VERB
ajst-5049	72	76	and	and	CCONJ
ajst-5049	72	77	coded	code	VERB
ajst-5049	72	78	,	,	PUNCT
ajst-5049	72	79	which	which	PRON
ajst-5049	72	80	are	be	AUX
ajst-5049	72	81	marked	mark	VERB
ajst-5049	72	82	as	as	ADP
ajst-5049	72	83	{	{	PUNCT
ajst-5049	72	84	1,2	1,2	NUM
ajst-5049	72	85	,	,	PUNCT
ajst-5049	72	86	...	...	PUNCT
ajst-5049	72	87	,	,	PUNCT
ajst-5049	72	88	19	19	NUM
ajst-5049	72	89	}	}	PUNCT
ajst-5049	72	90	respectively	respectively	ADV
ajst-5049	72	91	.	.	PUNCT
ajst-5049	73	1	the	the	DET
ajst-5049	73	2	157	157	NUM
ajst-5049	73	3	variable	variable	ADJ
ajst-5049	73	4	l	l	NOUN
ajst-5049	73	5	is	be	AUX
ajst-5049	73	6	the	the	DET
ajst-5049	73	7	coding	code	VERB
ajst-5049	73	8	value	value	NOUN
ajst-5049	73	9	of	of	ADP
ajst-5049	73	10	the	the	DET
ajst-5049	73	11	current	current	ADJ
ajst-5049	73	12	evaluation	evaluation	NOUN
ajst-5049	73	13	index	index	NOUN
ajst-5049	73	14	,	,	PUNCT
ajst-5049	73	15	starting	start	VERB
ajst-5049	73	16	from	from	ADP
ajst-5049	73	17	l	l	NOUN
ajst-5049	73	18	=	=	NOUN
ajst-5049	73	19	1	1	X
ajst-5049	73	20	.	.	PUNCT
ajst-5049	74	1	at	at	ADP
ajst-5049	74	2	the	the	DET
ajst-5049	74	3	same	same	ADJ
ajst-5049	74	4	time	time	NOUN
ajst-5049	74	5	,	,	PUNCT
ajst-5049	74	6	let	let	VERB
ajst-5049	74	7	the	the	DET
ajst-5049	74	8	initial	initial	ADJ
ajst-5049	74	9	'	'	PUNCT
ajst-5049	74	10	votes	vote	NOUN
ajst-5049	74	11	'	'	PUNCT
ajst-5049	74	12	of	of	ADP
ajst-5049	74	13	each	each	DET
ajst-5049	74	14	k	k	PROPN
ajst-5049	74	15	value	value	NOUN
ajst-5049	74	16	be	be	VERB
ajst-5049	74	17	0	0	NUM
ajst-5049	74	18	;	;	PUNCT
ajst-5049	74	19	step	step	NOUN
ajst-5049	74	20	8	8	NUM
ajst-5049	74	21	:	:	PUNCT
ajst-5049	74	22	the	the	DET
ajst-5049	74	23	k	k	NOUN
ajst-5049	74	24	-	-	PUNCT
ajst-5049	74	25	means	mean	VERB
ajst-5049	74	26	clustering	cluster	VERB
ajst-5049	74	27	results	result	NOUN
ajst-5049	74	28	corresponding	correspond	VERB
ajst-5049	74	29	to	to	ADP
ajst-5049	74	30	each	each	DET
ajst-5049	74	31	k	k	PROPN
ajst-5049	74	32	value	value	NOUN
ajst-5049	74	33	are	be	AUX
ajst-5049	74	34	evaluated	evaluate	VERB
ajst-5049	74	35	one	one	NUM
ajst-5049	74	36	by	by	ADP
ajst-5049	74	37	one	one	NUM
ajst-5049	74	38	with	with	ADP
ajst-5049	74	39	the	the	DET
ajst-5049	74	40	evaluation	evaluation	NOUN
ajst-5049	74	41	index	index	NOUN
ajst-5049	74	42	with	with	ADP
ajst-5049	74	43	the	the	DET
ajst-5049	74	44	code	code	NOUN
ajst-5049	74	45	value	value	NOUN
ajst-5049	74	46	l	l	NOUN
ajst-5049	74	47	,	,	PUNCT
ajst-5049	74	48	and	and	CCONJ
ajst-5049	74	49	the	the	DET
ajst-5049	74	50	optimal	optimal	ADJ
ajst-5049	74	51	k	k	PROPN
ajst-5049	74	52	value	value	NOUN
ajst-5049	74	53	under	under	ADP
ajst-5049	74	54	the	the	DET
ajst-5049	74	55	evaluation	evaluation	NOUN
ajst-5049	74	56	index	index	NOUN
ajst-5049	74	57	is	be	AUX
ajst-5049	74	58	obtained	obtain	VERB
ajst-5049	74	59	,	,	PUNCT
ajst-5049	74	60	so	so	SCONJ
ajst-5049	74	61	that	that	SCONJ
ajst-5049	74	62	the	the	DET
ajst-5049	74	63	'	'	PUNCT
ajst-5049	74	64	votes	vote	NOUN
ajst-5049	74	65	'	'	PUNCT
ajst-5049	74	66	of	of	ADP
ajst-5049	74	67	the	the	DET
ajst-5049	74	68	k	k	PROPN
ajst-5049	74	69	value	value	NOUN
ajst-5049	74	70	are	be	AUX
ajst-5049	74	71	added	add	VERB
ajst-5049	74	72	to	to	ADP
ajst-5049	74	73	1	1	NUM
ajst-5049	74	74	,	,	PUNCT
ajst-5049	74	75	and	and	CCONJ
ajst-5049	75	1	l	l	NOUN
ajst-5049	75	2	=	=	PUNCT
ajst-5049	76	1	l	l	NOUN
ajst-5049	77	1	+	+	NOUN
ajst-5049	77	2	1	1	NUM
ajst-5049	77	3	;	;	PUNCT
ajst-5049	77	4	step	step	NOUN
ajst-5049	77	5	9	9	NUM
ajst-5049	77	6	:	:	PUNCT
ajst-5049	77	7	when	when	SCONJ
ajst-5049	77	8	l≤19	l≤19	PROPN
ajst-5049	77	9	,	,	PUNCT
ajst-5049	77	10	repeat	repeat	VERB
ajst-5049	77	11	step	step	NOUN
ajst-5049	77	12	8	8	NUM
ajst-5049	77	13	.	.	PUNCT
ajst-5049	78	1	when	when	SCONJ
ajst-5049	78	2	l	l	X
ajst-5049	78	3	>	>	X
ajst-5049	78	4	19	19	NUM
ajst-5049	78	5	,	,	PUNCT
ajst-5049	78	6	select	select	VERB
ajst-5049	78	7	the	the	DET
ajst-5049	78	8	k	k	PROPN
ajst-5049	78	9	value	value	NOUN
ajst-5049	78	10	with	with	ADP
ajst-5049	78	11	the	the	DET
ajst-5049	78	12	largest	large	ADJ
ajst-5049	78	13	number	number	NOUN
ajst-5049	78	14	of	of	ADP
ajst-5049	78	15	'	'	PUNCT
ajst-5049	78	16	votes	vote	NOUN
ajst-5049	78	17	'	'	PUNCT
ajst-5049	78	18	as	as	ADP
ajst-5049	78	19	the	the	DET
ajst-5049	78	20	final	final	ADJ
ajst-5049	78	21	value	value	NOUN
ajst-5049	78	22	,	,	PUNCT
ajst-5049	78	23	and	and	CCONJ
ajst-5049	78	24	mark	mark	VERB
ajst-5049	78	25	the	the	DET
ajst-5049	78	26	final	final	ADJ
ajst-5049	78	27	value	value	NOUN
ajst-5049	78	28	as	as	ADP
ajst-5049	78	29	k	k	NOUN
ajst-5049	78	30	'	'	PUNCT
ajst-5049	78	31	to	to	PART
ajst-5049	78	32	obtain	obtain	VERB
ajst-5049	78	33	the	the	DET
ajst-5049	78	34	optimal	optimal	ADJ
ajst-5049	78	35	clustering	clustering	ADJ
ajst-5049	78	36	number	number	NOUN
ajst-5049	78	37	of	of	ADP
ajst-5049	78	38	k	k	NOUN
ajst-5049	78	39	-	-	PUNCT
ajst-5049	78	40	means	means	NOUN
ajst-5049	78	41	algorithm	algorithm	NOUN
ajst-5049	78	42	;	;	PUNCT
ajst-5049	78	43	step	step	NOUN
ajst-5049	78	44	10	10	NUM
ajst-5049	78	45	:	:	PUNCT
ajst-5049	78	46	take	take	VERB
ajst-5049	78	47	k	k	NOUN
ajst-5049	78	48	'	'	PUNCT
ajst-5049	78	49	sample	sample	NOUN
ajst-5049	78	50	points	point	NOUN
ajst-5049	78	51	as	as	ADP
ajst-5049	78	52	the	the	DET
ajst-5049	78	53	initial	initial	ADJ
ajst-5049	78	54	center	center	NOUN
ajst-5049	78	55	of	of	ADP
ajst-5049	78	56	k	k	PROPN
ajst-5049	78	57	'	'	PART
ajst-5049	78	58	clusters	cluster	NOUN
ajst-5049	78	59	1	1	NUM
ajst-5049	78	60	2	2	NUM
ajst-5049	78	61	'	'	NUM
ajst-5049	78	62	{	{	PUNCT
ajst-5049	78	63	,	,	PUNCT
ajst-5049	78	64	,	,	PUNCT
ajst-5049	78	65	...	...	PUNCT
ajst-5049	78	66	,	,	PUNCT
ajst-5049	78	67	}	}	PUNCT
ajst-5049	78	68	kc	kc	PROPN
ajst-5049	78	69	c	c	PROPN
ajst-5049	78	70	c	c	PROPN
ajst-5049	78	71	c	c	NOUN
ajst-5049	78	72	,	,	PUNCT
ajst-5049	78	73	'	'	PUNCT
ajst-5049	78	74	c	c	X
ajst-5049	78	75	x	x	NOUN
ajst-5049	78	76	;	;	PUNCT
ajst-5049	78	77	step	step	VERB
ajst-5049	78	78	11	11	NUM
ajst-5049	78	79	:	:	PUNCT
ajst-5049	78	80	for	for	ADP
ajst-5049	78	81	each	each	DET
ajst-5049	78	82	sample	sample	NOUN
ajst-5049	78	83	point	point	NOUN
ajst-5049	78	84	,	,	PUNCT
ajst-5049	78	85	calculate	calculate	VERB
ajst-5049	78	86	the	the	DET
ajst-5049	78	87	euclidean	euclidean	ADJ
ajst-5049	78	88	distance	distance	NOUN
ajst-5049	78	89	between	between	ADP
ajst-5049	78	90	them	they	PRON
ajst-5049	78	91	and	and	CCONJ
ajst-5049	78	92	k	k	NOUN
ajst-5049	78	93	'	'	PUNCT
ajst-5049	78	94	centers	center	NOUN
ajst-5049	78	95	,	,	PUNCT
ajst-5049	78	96	and	and	CCONJ
ajst-5049	78	97	classify	classify	VERB
ajst-5049	78	98	it	it	PRON
ajst-5049	78	99	into	into	ADP
ajst-5049	78	100	the	the	DET
ajst-5049	78	101	cluster	cluster	NOUN
ajst-5049	78	102	with	with	ADP
ajst-5049	78	103	the	the	DET
ajst-5049	78	104	smallest	small	ADJ
ajst-5049	78	105	distance	distance	NOUN
ajst-5049	78	106	center	center	NOUN
ajst-5049	78	107	;	;	PUNCT
ajst-5049	78	108	2	2	NUM
ajst-5049	78	109	,	,	PUNCT
ajst-5049	78	110	1	1	NUM
ajst-5049	78	111	(	(	PUNCT
ajst-5049	78	112	'	'	PUNCT
ajst-5049	78	113	,	,	PUNCT
ajst-5049	78	114	)	)	PUNCT
ajst-5049	78	115	(	(	PUNCT
ajst-5049	78	116	)	)	PUNCT
ajst-5049	79	1	n	n	CCONJ
ajst-5049	79	2	p	p	NOUN
ajst-5049	79	3	s	s	X
ajst-5049	79	4	pt	pt	NOUN
ajst-5049	79	5	scale	scale	NOUN
ajst-5049	79	6	st	st	PROPN
ajst-5049	79	7	t	t	PROPN
ajst-5049	79	8	dis	dis	NOUN
ajst-5049	80	1	x	x	PUNCT
ajst-5049	80	2	c	c	NOUN
ajst-5049	80	3	x	x	SYM
ajst-5049	81	1	c	c	NOUN
ajst-5049	81	2			NOUN
ajst-5049	81	3			NUM
ajst-5049	82	1			X
ajst-5049	82	2	(	(	PUNCT
ajst-5049	82	3	4	4	NUM
ajst-5049	82	4	)	)	PUNCT
ajst-5049	82	5	'	'	PUNCT
ajst-5049	82	6	px	px	PROPN
ajst-5049	82	7	is	be	AUX
ajst-5049	82	8	the	the	DET
ajst-5049	82	9	pth	pth	NOUN
ajst-5049	82	10	sample	sample	NOUN
ajst-5049	82	11	data	datum	NOUN
ajst-5049	82	12	in	in	ADP
ajst-5049	82	13	'	'	PUNCT
ajst-5049	82	14	x	x	ADP
ajst-5049	82	15	;	;	PUNCT
ajst-5049	82	16	sc	sc	PROPN
ajst-5049	82	17	is	be	AUX
ajst-5049	82	18	the	the	DET
ajst-5049	82	19	sth	sth	PROPN
ajst-5049	82	20	cluster	cluster	NOUN
ajst-5049	82	21	center	center	NOUN
ajst-5049	82	22	;	;	PUNCT
ajst-5049	82	23	,	,	PUNCT
ajst-5049	82	24	pt	pt	PROPN
ajst-5049	82	25	scalex	scalex	PROPN
ajst-5049	82	26	is	be	AUX
ajst-5049	82	27	the	the	DET
ajst-5049	82	28	tth	tth	PROPN
ajst-5049	82	29	normalized	normalize	VERB
ajst-5049	82	30	characteristic	characteristic	ADJ
ajst-5049	82	31	indicator	indicator	NOUN
ajst-5049	82	32	value	value	NOUN
ajst-5049	82	33	in	in	ADP
ajst-5049	82	34	'	'	PUNCT
ajst-5049	82	35	px	px	X
ajst-5049	82	36	;	;	PUNCT
ajst-5049	82	37	stc	stc	NOUN
ajst-5049	82	38	is	be	AUX
ajst-5049	82	39	the	the	DET
ajst-5049	82	40	tth	tth	PROPN
ajst-5049	82	41	normalized	normalize	VERB
ajst-5049	82	42	characteristic	characteristic	ADJ
ajst-5049	82	43	indicator	indicator	NOUN
ajst-5049	82	44	value	value	NOUN
ajst-5049	82	45	in	in	ADP
ajst-5049	82	46	sc	sc	PROPN
ajst-5049	82	47	;	;	PUNCT
ajst-5049	82	48	step	step	NOUN
ajst-5049	82	49	12	12	NUM
ajst-5049	82	50	:	:	PUNCT
ajst-5049	82	51	recalculate	recalculate	VERB
ajst-5049	82	52	each	each	DET
ajst-5049	82	53	cluster	cluster	NOUN
ajst-5049	82	54	center	center	NOUN
ajst-5049	82	55	according	accord	VERB
ajst-5049	82	56	to	to	ADP
ajst-5049	82	57	the	the	DET
ajst-5049	82	58	category	category	NOUN
ajst-5049	82	59	of	of	ADP
ajst-5049	82	60	each	each	DET
ajst-5049	82	61	sample	sample	NOUN
ajst-5049	82	62	;	;	PUNCT
ajst-5049	82	63	step	step	NOUN
ajst-5049	82	64	13	13	NUM
ajst-5049	82	65	:	:	PUNCT
ajst-5049	82	66	repeat	repeat	VERB
ajst-5049	82	67	steps	step	NOUN
ajst-5049	82	68	10	10	NUM
ajst-5049	82	69	to	to	PART
ajst-5049	82	70	12	12	NUM
ajst-5049	82	71	until	until	SCONJ
ajst-5049	82	72	the	the	DET
ajst-5049	82	73	cluster	cluster	NOUN
ajst-5049	82	74	that	that	PRON
ajst-5049	82	75	the	the	DET
ajst-5049	82	76	sample	sample	NOUN
ajst-5049	82	77	points	point	NOUN
ajst-5049	82	78	belong	belong	VERB
ajst-5049	82	79	to	to	ADP
ajst-5049	82	80	does	do	AUX
ajst-5049	82	81	not	not	PART
ajst-5049	82	82	change	change	VERB
ajst-5049	82	83	,	,	PUNCT
ajst-5049	82	84	and	and	CCONJ
ajst-5049	82	85	the	the	DET
ajst-5049	82	86	final	final	ADJ
ajst-5049	82	87	clustering	clustering	NOUN
ajst-5049	82	88	result	result	NOUN
ajst-5049	82	89	is	be	AUX
ajst-5049	82	90	obtained	obtain	VERB
ajst-5049	82	91	.	.	PUNCT
ajst-5049	83	1	the	the	DET
ajst-5049	83	2	flow	flow	NOUN
ajst-5049	83	3	chart	chart	NOUN
ajst-5049	83	4	of	of	ADP
ajst-5049	83	5	model	model	NOUN
ajst-5049	83	6	construction	construction	NOUN
ajst-5049	83	7	is	be	AUX
ajst-5049	83	8	shown	show	VERB
ajst-5049	83	9	in	in	ADP
ajst-5049	83	10	figure	figure	NOUN
ajst-5049	83	11	1	1	NUM
ajst-5049	83	12	.	.	PUNCT
ajst-5049	84	1	start	start	VERB
ajst-5049	84	2	data	datum	NOUN
ajst-5049	84	3	input	input	NOUN
ajst-5049	84	4	l≤19	l≤19	PROPN
ajst-5049	84	5	?	?	PUNCT
ajst-5049	85	1	end	end	VERB
ajst-5049	85	2	hierarchical	hierarchical	ADJ
ajst-5049	85	3	clustering	clustering	NOUN
ajst-5049	85	4	according	accord	VERB
ajst-5049	85	5	to	to	ADP
ajst-5049	85	6	the	the	DET
ajst-5049	85	7	results	result	NOUN
ajst-5049	85	8	,	,	PUNCT
ajst-5049	85	9	the	the	DET
ajst-5049	85	10	range	range	NOUN
ajst-5049	85	11	of	of	ADP
ajst-5049	85	12	clustering	clustering	ADJ
ajst-5049	85	13	number	number	NOUN
ajst-5049	85	14	k	k	PROPN
ajst-5049	85	15	is	be	AUX
ajst-5049	85	16	obtained	obtain	VERB
ajst-5049	85	17	.	.	PUNCT
ajst-5049	86	1	k	k	X
ajst-5049	86	2	-	-	PUNCT
ajst-5049	86	3	means	mean	VERB
ajst-5049	86	4	clustering	clustering	NOUN
ajst-5049	86	5	is	be	AUX
ajst-5049	86	6	performed	perform	VERB
ajst-5049	86	7	on	on	ADP
ajst-5049	86	8	all	all	DET
ajst-5049	86	9	k	k	PROPN
ajst-5049	86	10	values	value	NOUN
ajst-5049	86	11	in	in	ADP
ajst-5049	86	12	the	the	DET
ajst-5049	86	13	range	range	NOUN
ajst-5049	86	14	.	.	PUNCT
ajst-5049	87	1	the	the	DET
ajst-5049	87	2	selected	select	VERB
ajst-5049	87	3	19	19	NUM
ajst-5049	87	4	evaluation	evaluation	NOUN
ajst-5049	87	5	indexes	index	NOUN
ajst-5049	87	6	are	be	AUX
ajst-5049	87	7	coded	code	VERB
ajst-5049	87	8	.	.	PUNCT
ajst-5049	88	1	all	all	DET
ajst-5049	88	2	clustering	cluster	VERB
ajst-5049	88	3	results	result	NOUN
ajst-5049	88	4	are	be	AUX
ajst-5049	88	5	evaluated	evaluate	VERB
ajst-5049	88	6	by	by	ADP
ajst-5049	88	7	the	the	DET
ajst-5049	88	8	lth	lth	PROPN
ajst-5049	88	9	evaluation	evaluation	NOUN
ajst-5049	88	10	index	index	NOUN
ajst-5049	88	11	.	.	PUNCT
ajst-5049	89	1	the	the	DET
ajst-5049	89	2	k	k	PROPN
ajst-5049	89	3	value	value	NOUN
ajst-5049	89	4	corresponding	correspond	VERB
ajst-5049	89	5	to	to	ADP
ajst-5049	89	6	the	the	DET
ajst-5049	89	7	optimal	optimal	ADJ
ajst-5049	89	8	clustering	clustering	ADJ
ajst-5049	89	9	result	result	NOUN
ajst-5049	89	10	under	under	ADP
ajst-5049	89	11	this	this	DET
ajst-5049	89	12	evaluation	evaluation	NOUN
ajst-5049	89	13	is	be	AUX
ajst-5049	89	14	obtained	obtain	VERB
ajst-5049	89	15	.	.	PUNCT
ajst-5049	90	1	y	y	PROPN
ajst-5049	90	2	the	the	DET
ajst-5049	90	3	k	k	PROPN
ajst-5049	90	4	value	value	NOUN
ajst-5049	90	5	'	'	PUNCT
ajst-5049	90	6	votes	vote	NOUN
ajst-5049	90	7	'	'	PART
ajst-5049	90	8	+	+	NUM
ajst-5049	90	9	1	1	NUM
ajst-5049	90	10	l=1+l	l=1+l	NOUN
ajst-5049	90	11	take	take	VERB
ajst-5049	90	12	the	the	DET
ajst-5049	90	13	k	k	PROPN
ajst-5049	90	14	value	value	NOUN
ajst-5049	90	15	with	with	ADP
ajst-5049	90	16	the	the	DET
ajst-5049	90	17	most	most	ADJ
ajst-5049	90	18	'	'	PUNCT
ajst-5049	90	19	votes	vote	NOUN
ajst-5049	90	20	'	'	PUNCT
ajst-5049	90	21	as	as	ADP
ajst-5049	90	22	the	the	DET
ajst-5049	90	23	final	final	ADJ
ajst-5049	90	24	value	value	NOUN
ajst-5049	90	25	,	,	PUNCT
ajst-5049	90	26	denoted	denote	VERB
ajst-5049	90	27	as	as	ADP
ajst-5049	90	28	k	k	NOUN
ajst-5049	90	29	'	'	PUNCT
ajst-5049	90	30	.	.	PUNCT
ajst-5049	91	1	n	n	X
ajst-5049	91	2	finally	finally	ADV
ajst-5049	91	3	k	k	X
ajst-5049	91	4	-	-	PUNCT
ajst-5049	91	5	means	mean	VERB
ajst-5049	91	6	clustering	clustering	NOUN
ajst-5049	91	7	let	let	VERB
ajst-5049	91	8	l	l	NOUN
ajst-5049	91	9	be	be	AUX
ajst-5049	91	10	the	the	DET
ajst-5049	91	11	coding	code	VERB
ajst-5049	91	12	value	value	NOUN
ajst-5049	91	13	of	of	ADP
ajst-5049	91	14	the	the	DET
ajst-5049	91	15	current	current	ADJ
ajst-5049	91	16	evaluation	evaluation	NOUN
ajst-5049	91	17	index	index	NOUN
ajst-5049	91	18	,	,	PUNCT
ajst-5049	91	19	and	and	CCONJ
ajst-5049	91	20	let	let	VERB
ajst-5049	91	21	l	l	NOUN
ajst-5049	91	22	=	=	SYM
ajst-5049	91	23	1	1	X
ajst-5049	91	24	.	.	X
ajst-5049	91	25	figure	figure	NOUN
ajst-5049	91	26	1	1	NUM
ajst-5049	91	27	.	.	PUNCT
ajst-5049	92	1	the	the	DET
ajst-5049	92	2	flow	flow	NOUN
ajst-5049	92	3	chart	chart	NOUN
ajst-5049	92	4	of	of	ADP
ajst-5049	92	5	traffic	traffic	NOUN
ajst-5049	92	6	similar	similar	ADJ
ajst-5049	92	7	days	day	NOUN
ajst-5049	92	8	clustering	cluster	VERB
ajst-5049	92	9	model	model	NOUN
ajst-5049	92	10	construction	construction	NOUN
ajst-5049	92	11	4	4	NUM
ajst-5049	92	12	.	.	PUNCT
ajst-5049	92	13	traffic	traffic	NOUN
ajst-5049	92	14	similar	similar	ADJ
ajst-5049	92	15	day	day	NOUN
ajst-5049	92	16	clustering	cluster	VERB
ajst-5049	92	17	example	example	NOUN
ajst-5049	92	18	analysis	analysis	NOUN
ajst-5049	92	19	4.1	4.1	NUM
ajst-5049	92	20	.	.	PUNCT
ajst-5049	93	1	sample	sample	NOUN
ajst-5049	93	2	selection	selection	NOUN
ajst-5049	93	3	and	and	CCONJ
ajst-5049	93	4	data	datum	NOUN
ajst-5049	93	5	processing	processing	NOUN
ajst-5049	93	6	in	in	ADP
ajst-5049	93	7	this	this	DET
ajst-5049	93	8	paper	paper	NOUN
ajst-5049	93	9	,	,	PUNCT
ajst-5049	93	10	tianjin	tianjin	PROPN
ajst-5049	93	11	binhai	binhai	PROPN
ajst-5049	93	12	airport	airport	PROPN
ajst-5049	93	13	is	be	AUX
ajst-5049	93	14	taken	take	VERB
ajst-5049	93	15	as	as	ADP
ajst-5049	93	16	the	the	DET
ajst-5049	93	17	research	research	NOUN
ajst-5049	93	18	object	object	NOUN
ajst-5049	93	19	,	,	PUNCT
ajst-5049	93	20	and	and	CCONJ
ajst-5049	93	21	the	the	DET
ajst-5049	93	22	flight	flight	NOUN
ajst-5049	93	23	plan	plan	NOUN
ajst-5049	93	24	data	datum	NOUN
ajst-5049	93	25	of	of	ADP
ajst-5049	93	26	tianjin	tianjin	PROPN
ajst-5049	93	27	binhai	binhai	PROPN
ajst-5049	93	28	airport	airport	PROPN
ajst-5049	93	29	from	from	ADP
ajst-5049	93	30	january	january	PROPN
ajst-5049	93	31	1,2020	1,2020	NUM
ajst-5049	93	32	to	to	ADP
ajst-5049	93	33	december	december	PROPN
ajst-5049	93	34	30,2020	30,2020	NUM
ajst-5049	93	35	are	be	AUX
ajst-5049	93	36	collected	collect	VERB
ajst-5049	93	37	,	,	PUNCT
ajst-5049	93	38	including	include	VERB
ajst-5049	93	39	a	a	DET
ajst-5049	93	40	total	total	NOUN
ajst-5049	93	41	of	of	ADP
ajst-5049	93	42	114,314	114,314	NUM
ajst-5049	93	43	arrival	arrival	NOUN
ajst-5049	93	44	and	and	CCONJ
ajst-5049	93	45	departure	departure	NOUN
ajst-5049	93	46	flight	flight	NOUN
ajst-5049	93	47	information	information	NOUN
ajst-5049	93	48	.	.	PUNCT
ajst-5049	94	1	among	among	ADP
ajst-5049	94	2	them	they	PRON
ajst-5049	94	3	,	,	PUNCT
ajst-5049	94	4	the	the	DET
ajst-5049	94	5	data	datum	NOUN
ajst-5049	94	6	from	from	ADP
ajst-5049	94	7	january	january	PROPN
ajst-5049	94	8	1,2020	1,2020	NUM
ajst-5049	94	9	to	to	ADP
ajst-5049	94	10	january	january	PROPN
ajst-5049	94	11	29,2020	29,2020	NUM
ajst-5049	94	12	are	be	AUX
ajst-5049	94	13	non	non	ADJ
ajst-5049	94	14	-	-	ADJ
ajst-5049	94	15	epidemic	epidemic	ADJ
ajst-5049	94	16	control	control	NOUN
ajst-5049	94	17	traffic	traffic	NOUN
ajst-5049	94	18	data	datum	NOUN
ajst-5049	94	19	,	,	PUNCT
ajst-5049	94	20	and	and	CCONJ
ajst-5049	94	21	the	the	DET
ajst-5049	94	22	data	datum	NOUN
ajst-5049	94	23	from	from	ADP
ajst-5049	94	24	january	january	PROPN
ajst-5049	94	25	30,2020	30,2020	NUM
ajst-5049	94	26	to	to	ADP
ajst-5049	94	27	december	december	PROPN
ajst-5049	94	28	31,2020	31,2020	NUM
ajst-5049	94	29	are	be	AUX
ajst-5049	94	30	epidemic	epidemic	ADJ
ajst-5049	94	31	control	control	NOUN
ajst-5049	94	32	traffic	traffic	NOUN
ajst-5049	94	33	data	datum	NOUN
ajst-5049	94	34	,	,	PUNCT
ajst-5049	94	35	so	so	SCONJ
ajst-5049	94	36	as	as	SCONJ
ajst-5049	94	37	to	to	PART
ajst-5049	94	38	verify	verify	VERB
ajst-5049	94	39	whether	whether	SCONJ
ajst-5049	94	40	the	the	DET
ajst-5049	94	41	model	model	NOUN
ajst-5049	94	42	can	can	AUX
ajst-5049	94	43	distinguish	distinguish	VERB
ajst-5049	94	44	airport	airport	NOUN
ajst-5049	94	45	traffic	traffic	NOUN
ajst-5049	94	46	under	under	ADP
ajst-5049	94	47	different	different	ADJ
ajst-5049	94	48	policies	policy	NOUN
ajst-5049	94	49	.	.	PUNCT
ajst-5049	95	1	1	1	X
ajst-5049	95	2	)	)	PUNCT
ajst-5049	95	3	data	datum	NOUN
ajst-5049	95	4	cleaning	cleaning	NOUN
ajst-5049	95	5	and	and	CCONJ
ajst-5049	95	6	division	division	NOUN
ajst-5049	95	7	:	:	PUNCT
ajst-5049	95	8	after	after	ADP
ajst-5049	95	9	data	datum	NOUN
ajst-5049	95	10	cleaning	cleaning	NOUN
ajst-5049	95	11	,	,	PUNCT
ajst-5049	95	12	113614	113614	NUM
ajst-5049	95	13	valid	valid	ADJ
ajst-5049	95	14	information	information	NOUN
ajst-5049	95	15	are	be	AUX
ajst-5049	95	16	retained	retain	VERB
ajst-5049	95	17	,	,	PUNCT
ajst-5049	95	18	a	a	DET
ajst-5049	95	19	total	total	NOUN
ajst-5049	95	20	of	of	ADP
ajst-5049	95	21	365	365	NUM
ajst-5049	95	22	days	day	NOUN
ajst-5049	95	23	of	of	ADP
ajst-5049	95	24	traffic	traffic	NOUN
ajst-5049	95	25	data	datum	NOUN
ajst-5049	95	26	.	.	PUNCT
ajst-5049	96	1	2	2	X
ajst-5049	96	2	)	)	PUNCT
ajst-5049	96	3	traffic	traffic	NOUN
ajst-5049	96	4	characteristic	characteristic	ADJ
ajst-5049	96	5	indicator	indicator	NOUN
ajst-5049	96	6	extraction	extraction	NOUN
ajst-5049	96	7	:	:	PUNCT
ajst-5049	96	8	firstly	firstly	ADV
ajst-5049	96	9	,	,	PUNCT
ajst-5049	96	10	the	the	DET
ajst-5049	96	11	daily	daily	ADJ
ajst-5049	96	12	arrival	arrival	NOUN
ajst-5049	96	13	traffic	traffic	NOUN
ajst-5049	96	14	,	,	PUNCT
ajst-5049	96	15	daily	daily	ADJ
ajst-5049	96	16	departure	departure	NOUN
ajst-5049	96	17	traffic	traffic	NOUN
ajst-5049	96	18	and	and	CCONJ
ajst-5049	96	19	daily	daily	ADJ
ajst-5049	96	20	total	total	ADJ
ajst-5049	96	21	traffic	traffic	NOUN
ajst-5049	96	22	are	be	AUX
ajst-5049	96	23	calculated	calculate	VERB
ajst-5049	96	24	as	as	ADP
ajst-5049	96	25	the	the	DET
ajst-5049	96	26	basic	basic	ADJ
ajst-5049	96	27	characteristic	characteristic	ADJ
ajst-5049	96	28	indicators	indicator	NOUN
ajst-5049	96	29	.	.	PUNCT
ajst-5049	97	1	then	then	ADV
ajst-5049	97	2	use	use	VERB
ajst-5049	97	3	python	python	NOUN
ajst-5049	97	4	to	to	PART
ajst-5049	97	5	draw	draw	VERB
ajst-5049	97	6	the	the	DET
ajst-5049	97	7	average	average	ADJ
ajst-5049	97	8	daily	daily	ADJ
ajst-5049	97	9	hourly	hourly	ADJ
ajst-5049	97	10	admission	admission	NOUN
ajst-5049	97	11	and	and	CCONJ
ajst-5049	97	12	departure	departure	NOUN
ajst-5049	97	13	traffic	traffic	NOUN
ajst-5049	97	14	to	to	PART
ajst-5049	97	15	select	select	VERB
ajst-5049	97	16	additional	additional	ADJ
ajst-5049	97	17	feature	feature	NOUN
ajst-5049	97	18	indicators	indicator	NOUN
ajst-5049	97	19	,	,	PUNCT
ajst-5049	97	20	as	as	SCONJ
ajst-5049	97	21	shown	show	VERB
ajst-5049	97	22	in	in	ADP
ajst-5049	97	23	figure	figure	NOUN
ajst-5049	97	24	2	2	NUM
ajst-5049	97	25	-	-	SYM
ajst-5049	97	26	4	4	NUM
ajst-5049	97	27	.	.	PUNCT
ajst-5049	98	1	the	the	DET
ajst-5049	98	2	darker	dark	ADJ
ajst-5049	98	3	the	the	DET
ajst-5049	98	4	color	color	NOUN
ajst-5049	98	5	of	of	ADP
ajst-5049	98	6	the	the	DET
ajst-5049	98	7	coordinate	coordinate	NOUN
ajst-5049	98	8	point	point	NOUN
ajst-5049	98	9	,	,	PUNCT
ajst-5049	98	10	the	the	PRON
ajst-5049	98	11	more	more	ADV
ajst-5049	98	12	the	the	DET
ajst-5049	98	13	same	same	ADJ
ajst-5049	98	14	traffic	traffic	NOUN
ajst-5049	98	15	value	value	NOUN
ajst-5049	98	16	at	at	ADP
ajst-5049	98	17	the	the	DET
ajst-5049	98	18	same	same	ADJ
ajst-5049	98	19	time	time	NOUN
ajst-5049	98	20	.	.	PUNCT
ajst-5049	99	1	at	at	ADP
ajst-5049	99	2	the	the	DET
ajst-5049	99	3	same	same	ADJ
ajst-5049	99	4	time	time	NOUN
ajst-5049	99	5	,	,	PUNCT
ajst-5049	99	6	the	the	DET
ajst-5049	99	7	average	average	ADJ
ajst-5049	99	8	traffic	traffic	NOUN
ajst-5049	99	9	per	per	ADP
ajst-5049	99	10	hour	hour	NOUN
ajst-5049	99	11	is	be	AUX
ajst-5049	99	12	represented	represent	VERB
ajst-5049	99	13	by	by	ADP
ajst-5049	99	14	a	a	DET
ajst-5049	99	15	broken	broken	ADJ
ajst-5049	99	16	line	line	NOUN
ajst-5049	99	17	on	on	ADP
ajst-5049	99	18	the	the	DET
ajst-5049	99	19	figure	figure	NOUN
ajst-5049	99	20	,	,	PUNCT
ajst-5049	99	21	so	so	SCONJ
ajst-5049	99	22	as	as	SCONJ
ajst-5049	99	23	to	to	PART
ajst-5049	99	24	judge	judge	VERB
ajst-5049	99	25	the	the	DET
ajst-5049	99	26	daily	daily	ADJ
ajst-5049	99	27	arrival	arrival	NOUN
ajst-5049	99	28	peak	peak	NOUN
ajst-5049	99	29	period	period	NOUN
ajst-5049	99	30	,	,	PUNCT
ajst-5049	99	31	departure	departure	NOUN
ajst-5049	99	32	peak	peak	NOUN
ajst-5049	99	33	period	period	NOUN
ajst-5049	99	34	,	,	PUNCT
ajst-5049	99	35	daily	daily	ADJ
ajst-5049	99	36	total	total	ADJ
ajst-5049	99	37	traffic	traffic	NOUN
ajst-5049	99	38	peak	peak	NOUN
ajst-5049	99	39	period	period	NOUN
ajst-5049	99	40	and	and	CCONJ
ajst-5049	99	41	daily	daily	ADJ
ajst-5049	99	42	total	total	ADJ
ajst-5049	99	43	traffic	traffic	NOUN
ajst-5049	99	44	trough	trough	NOUN
ajst-5049	99	45	period	period	NOUN
ajst-5049	99	46	,	,	PUNCT
ajst-5049	99	47	and	and	CCONJ
ajst-5049	99	48	then	then	ADV
ajst-5049	99	49	add	add	VERB
ajst-5049	99	50	up	up	ADP
ajst-5049	99	51	the	the	DET
ajst-5049	99	52	hourly	hourly	ADJ
ajst-5049	99	53	traffic	traffic	NOUN
ajst-5049	99	54	of	of	ADP
ajst-5049	99	55	these	these	DET
ajst-5049	99	56	periods	period	NOUN
ajst-5049	99	57	every	every	DET
ajst-5049	99	58	day	day	NOUN
ajst-5049	99	59	to	to	PART
ajst-5049	99	60	obtain	obtain	VERB
ajst-5049	99	61	four	four	NUM
ajst-5049	99	62	characteristic	characteristic	ADJ
ajst-5049	99	63	indicators	indicator	NOUN
ajst-5049	99	64	.	.	PUNCT
ajst-5049	100	1	it	it	PRON
ajst-5049	100	2	can	can	AUX
ajst-5049	100	3	be	be	AUX
ajst-5049	100	4	seen	see	VERB
ajst-5049	100	5	from	from	ADP
ajst-5049	100	6	the	the	DET
ajst-5049	100	7	diagram	diagram	NOUN
ajst-5049	100	8	that	that	SCONJ
ajst-5049	100	9	the	the	DET
ajst-5049	100	10	peak	peak	NOUN
ajst-5049	100	11	of	of	ADP
ajst-5049	100	12	daily	daily	ADJ
ajst-5049	100	13	arrival	arrival	NOUN
ajst-5049	100	14	is	be	AUX
ajst-5049	100	15	from	from	ADP
ajst-5049	100	16	20	20	NUM
ajst-5049	100	17	to	to	PART
ajst-5049	100	18	21	21	NUM
ajst-5049	100	19	every	every	DET
ajst-5049	100	20	night	night	NOUN
ajst-5049	100	21	,	,	PUNCT
ajst-5049	100	22	the	the	DET
ajst-5049	100	23	peak	peak	NOUN
ajst-5049	100	24	of	of	ADP
ajst-5049	100	25	daily	daily	ADJ
ajst-5049	100	26	departure	departure	NOUN
ajst-5049	100	27	is	be	AUX
ajst-5049	100	28	from	from	ADP
ajst-5049	100	29	7	7	NUM
ajst-5049	100	30	to	to	PART
ajst-5049	100	31	8	8	NUM
ajst-5049	100	32	in	in	ADP
ajst-5049	100	33	the	the	DET
ajst-5049	100	34	morning	morning	NOUN
ajst-5049	100	35	,	,	PUNCT
ajst-5049	100	36	the	the	DET
ajst-5049	100	37	trough	trough	NOUN
ajst-5049	100	38	of	of	ADP
ajst-5049	100	39	daily	daily	ADJ
ajst-5049	100	40	total	total	ADJ
ajst-5049	100	41	traffic	traffic	NOUN
ajst-5049	100	42	is	be	AUX
ajst-5049	100	43	from	from	ADP
ajst-5049	100	44	4	4	NUM
ajst-5049	100	45	to	to	PART
ajst-5049	100	46	5	5	NUM
ajst-5049	100	47	in	in	ADP
ajst-5049	100	48	the	the	DET
ajst-5049	100	49	morning	morning	NOUN
ajst-5049	100	50	,	,	PUNCT
ajst-5049	100	51	and	and	CCONJ
ajst-5049	100	52	the	the	DET
ajst-5049	100	53	peak	peak	NOUN
ajst-5049	100	54	is	be	AUX
ajst-5049	100	55	from	from	ADP
ajst-5049	100	56	11	11	NUM
ajst-5049	100	57	to	to	PART
ajst-5049	100	58	12	12	NUM
ajst-5049	100	59	at	at	ADP
ajst-5049	100	60	noon	noon	NOUN
ajst-5049	100	61	.	.	PUNCT
ajst-5049	101	1	the	the	DET
ajst-5049	101	2	characteristic	characteristic	ADJ
ajst-5049	101	3	indicators	indicator	NOUN
ajst-5049	101	4	obtained	obtain	VERB
ajst-5049	101	5	by	by	ADP
ajst-5049	101	6	adding	add	VERB
ajst-5049	101	7	the	the	DET
ajst-5049	101	8	traffic	traffic	NOUN
ajst-5049	101	9	corresponding	correspond	VERB
ajst-5049	101	10	to	to	ADP
ajst-5049	101	11	these	these	DET
ajst-5049	101	12	periods	period	NOUN
ajst-5049	101	13	are	be	AUX
ajst-5049	101	14	the	the	DET
ajst-5049	101	15	sum	sum	NOUN
ajst-5049	101	16	of	of	ADP
ajst-5049	101	17	the	the	DET
ajst-5049	101	18	arrival	arrival	NOUN
ajst-5049	101	19	traffic	traffic	NOUN
ajst-5049	101	20	in	in	ADP
ajst-5049	101	21	the	the	DET
ajst-5049	101	22	evening	evening	NOUN
ajst-5049	101	23	peak	peak	NOUN
ajst-5049	101	24	period	period	NOUN
ajst-5049	101	25	,	,	PUNCT
ajst-5049	101	26	the	the	DET
ajst-5049	101	27	sum	sum	NOUN
ajst-5049	101	28	of	of	ADP
ajst-5049	101	29	the	the	DET
ajst-5049	101	30	departure	departure	NOUN
ajst-5049	101	31	traffic	traffic	NOUN
ajst-5049	101	32	in	in	ADP
ajst-5049	101	33	the	the	DET
ajst-5049	101	34	morning	morning	NOUN
ajst-5049	101	35	peak	peak	NOUN
ajst-5049	101	36	period	period	NOUN
ajst-5049	101	37	,	,	PUNCT
ajst-5049	101	38	the	the	DET
ajst-5049	101	39	sum	sum	NOUN
ajst-5049	101	40	of	of	ADP
ajst-5049	101	41	the	the	DET
ajst-5049	101	42	daily	daily	ADJ
ajst-5049	101	43	trough	trough	NOUN
ajst-5049	101	44	traffic	traffic	NOUN
ajst-5049	101	45	,	,	PUNCT
ajst-5049	101	46	and	and	CCONJ
ajst-5049	101	47	the	the	DET
ajst-5049	101	48	sum	sum	NOUN
ajst-5049	101	49	of	of	ADP
ajst-5049	101	50	the	the	DET
ajst-5049	101	51	daily	daily	ADJ
ajst-5049	101	52	peak	peak	NOUN
ajst-5049	101	53	traffic	traffic	NOUN
ajst-5049	101	54	.	.	PUNCT
ajst-5049	102	1	158	158	NUM
ajst-5049	102	2	figure	figure	NOUN
ajst-5049	102	3	2	2	NUM
ajst-5049	102	4	.	.	PUNCT
ajst-5049	103	1	daily	daily	ADJ
ajst-5049	103	2	arrival	arrival	NOUN
ajst-5049	103	3	flow	flow	NOUN
ajst-5049	103	4	distribution	distribution	NOUN
ajst-5049	103	5	figure	figure	NOUN
ajst-5049	103	6	3	3	NUM
ajst-5049	103	7	.	.	PUNCT
ajst-5049	103	8	daily	daily	ADJ
ajst-5049	103	9	departure	departure	NOUN
ajst-5049	103	10	flow	flow	NOUN
ajst-5049	103	11	distribution	distribution	NOUN
ajst-5049	103	12	figure	figure	NOUN
ajst-5049	103	13	4	4	NUM
ajst-5049	103	14	.	.	PUNCT
ajst-5049	104	1	daily	daily	ADJ
ajst-5049	104	2	total	total	ADJ
ajst-5049	104	3	flow	flow	NOUN
ajst-5049	104	4	distribution	distribution	NOUN
ajst-5049	104	5	finally	finally	ADV
ajst-5049	104	6	,	,	PUNCT
ajst-5049	104	7	a	a	DET
ajst-5049	104	8	data	datum	NOUN
ajst-5049	104	9	set	set	VERB
ajst-5049	104	10	with	with	ADP
ajst-5049	104	11	six	six	NUM
ajst-5049	104	12	characteristic	characteristic	ADJ
ajst-5049	104	13	indicators	indicator	NOUN
ajst-5049	104	14	is	be	AUX
ajst-5049	104	15	obtained	obtain	VERB
ajst-5049	104	16	,	,	PUNCT
ajst-5049	104	17	and	and	CCONJ
ajst-5049	104	18	some	some	DET
ajst-5049	104	19	data	datum	NOUN
ajst-5049	104	20	are	be	AUX
ajst-5049	104	21	shown	show	VERB
ajst-5049	104	22	in	in	ADP
ajst-5049	104	23	table	table	NOUN
ajst-5049	104	24	1	1	NUM
ajst-5049	104	25	.	.	PUNCT
ajst-5049	104	26	table	table	NOUN
ajst-5049	104	27	1	1	NUM
ajst-5049	104	28	.	.	PUNCT
ajst-5049	104	29	daily	daily	ADJ
ajst-5049	104	30	flow	flow	NOUN
ajst-5049	104	31	characteristic	characteristic	ADJ
ajst-5049	104	32	index	index	NOUN
ajst-5049	104	33	(	(	PUNCT
ajst-5049	104	34	part	part	NOUN
ajst-5049	104	35	)	)	PUNCT
ajst-5049	104	36	date	date	NOUN
ajst-5049	104	37	daily	daily	ADJ
ajst-5049	104	38	arrival	arrival	NOUN
ajst-5049	104	39	traffic	traffic	NOUN
ajst-5049	104	40	/	/	SYM
ajst-5049	104	41	sortie	sortie	NOUN
ajst-5049	104	42	daily	daily	ADJ
ajst-5049	104	43	departure	departure	NOUN
ajst-5049	104	44	traffic	traffic	NOUN
ajst-5049	104	45	/	/	SYM
ajst-5049	104	46	sortie	sortie	NOUN
ajst-5049	104	47	total	total	ADJ
ajst-5049	104	48	daily	daily	ADJ
ajst-5049	104	49	traffic	traffic	NOUN
ajst-5049	104	50	/	/	SYM
ajst-5049	104	51	sortie	sortie	NOUN
ajst-5049	104	52	evening	evening	NOUN
ajst-5049	104	53	peak	peak	NOUN
ajst-5049	104	54	arrival	arrival	NOUN
ajst-5049	104	55	traffic	traffic	NOUN
ajst-5049	104	56	/	/	SYM
ajst-5049	104	57	sortie	sortie	NOUN
ajst-5049	104	58	morning	morning	NOUN
ajst-5049	104	59	peak	peak	NOUN
ajst-5049	104	60	departure	departure	NOUN
ajst-5049	104	61	traffic	traffic	NOUN
ajst-5049	104	62	/	/	SYM
ajst-5049	104	63	sortie	sortie	NOUN
ajst-5049	104	64	daily	daily	ADJ
ajst-5049	104	65	trough	trough	NOUN
ajst-5049	104	66	traffic/	traffic/	NUM
ajst-5049	104	67	sortie	sortie	NOUN
ajst-5049	104	68	daily	daily	ADV
ajst-5049	104	69	peak	peak	VERB
ajst-5049	104	70	traffic/	traffic/	NUM
ajst-5049	104	71	sortie	sortie	NOUN
ajst-5049	104	72	2020/1/1	2020/1/1	NUM
ajst-5049	104	73	225	225	NUM
ajst-5049	104	74	231	231	NUM
ajst-5049	104	75	456	456	NUM
ajst-5049	104	76	24	24	NUM
ajst-5049	104	77	38	38	NUM
ajst-5049	104	78	5	5	NUM
ajst-5049	104	79	52	52	NUM
ajst-5049	104	80	2020/1/2	2020/1/2	NUM
ajst-5049	105	1	224	224	NUM
ajst-5049	105	2	225	225	NUM
ajst-5049	105	3	449	449	NUM
ajst-5049	105	4	25	25	NUM
ajst-5049	105	5	38	38	NUM
ajst-5049	105	6	1	1	NUM
ajst-5049	105	7	53	53	NUM
ajst-5049	105	8	2020/1/3	2020/1/3	NUM
ajst-5049	105	9	218	218	NUM
ajst-5049	105	10	231	231	NUM
ajst-5049	105	11	449	449	NUM
ajst-5049	105	12	25	25	NUM
ajst-5049	105	13	40	40	NUM
ajst-5049	105	14	5	5	NUM
ajst-5049	106	1	53	53	NUM
ajst-5049	106	2	2020/1/4	2020/1/4	NUM
ajst-5049	106	3	225	225	NUM
ajst-5049	106	4	219	219	NUM
ajst-5049	106	5	444	444	NUM
ajst-5049	106	6	29	29	NUM
ajst-5049	106	7	40	40	NUM
ajst-5049	106	8	5	5	NUM
ajst-5049	106	9	51	51	NUM
ajst-5049	106	10	2020/1/5	2020/1/5	NUM
ajst-5049	106	11	230	230	NUM
ajst-5049	106	12	242	242	NUM
ajst-5049	106	13	472	472	NUM
ajst-5049	106	14	25	25	NUM
ajst-5049	106	15	44	44	NUM
ajst-5049	106	16	3	3	NUM
ajst-5049	106	17	53	53	NUM
ajst-5049	106	18	2020/1/6	2020/1/6	NUM
ajst-5049	106	19	212	212	NUM
ajst-5049	106	20	225	225	NUM
ajst-5049	106	21	437	437	NUM
ajst-5049	106	22	29	29	NUM
ajst-5049	106	23	30	30	NUM
ajst-5049	106	24	1	1	NUM
ajst-5049	106	25	57	57	NUM
ajst-5049	106	26	159	159	NUM
ajst-5049	106	27	4.2	4.2	NUM
ajst-5049	106	28	.	.	PUNCT
ajst-5049	107	1	traffic	traffic	NOUN
ajst-5049	107	2	similar	similar	ADJ
ajst-5049	107	3	day	day	NOUN
ajst-5049	107	4	clustering	clustering	NOUN
ajst-5049	107	5	based	base	VERB
ajst-5049	107	6	on	on	ADP
ajst-5049	107	7	hik	hik	NOUN
ajst-5049	107	8	-	-	PUNCT
ajst-5049	107	9	means	means	NOUN
ajst-5049	107	10	algorithm	algorithm	NOUN
ajst-5049	107	11	1	1	NUM
ajst-5049	107	12	)	)	PUNCT
ajst-5049	107	13	hierarchical	hierarchical	ADJ
ajst-5049	107	14	clustering	clustering	NOUN
ajst-5049	107	15	:	:	PUNCT
ajst-5049	107	16	python	python	NOUN
ajst-5049	107	17	is	be	AUX
ajst-5049	107	18	used	use	VERB
ajst-5049	107	19	to	to	PART
ajst-5049	107	20	perform	perform	VERB
ajst-5049	107	21	hierarchical	hierarchical	ADJ
ajst-5049	107	22	initial	initial	ADJ
ajst-5049	107	23	clustering	clustering	NOUN
ajst-5049	107	24	on	on	ADP
ajst-5049	107	25	365	365	NUM
ajst-5049	107	26	daily	daily	ADJ
ajst-5049	107	27	traffic	traffic	NOUN
ajst-5049	107	28	characteristic	characteristic	ADJ
ajst-5049	107	29	indicators	indicator	NOUN
ajst-5049	107	30	data	datum	NOUN
ajst-5049	107	31	normalized	normalize	VERB
ajst-5049	107	32	by	by	ADP
ajst-5049	107	33	tianjin	tianjin	PROPN
ajst-5049	107	34	binhai	binhai	PROPN
ajst-5049	107	35	airport	airport	PROPN
ajst-5049	107	36	,	,	PUNCT
ajst-5049	107	37	and	and	CCONJ
ajst-5049	107	38	the	the	DET
ajst-5049	107	39	clustering	cluster	VERB
ajst-5049	107	40	tree	tree	NOUN
ajst-5049	107	41	is	be	AUX
ajst-5049	107	42	visualized	visualize	VERB
ajst-5049	107	43	.	.	PUNCT
ajst-5049	108	1	the	the	DET
ajst-5049	108	2	results	result	NOUN
ajst-5049	108	3	are	be	AUX
ajst-5049	108	4	shown	show	VERB
ajst-5049	108	5	in	in	ADP
ajst-5049	108	6	figure	figure	NOUN
ajst-5049	108	7	5	5	NUM
ajst-5049	108	8	.	.	PUNCT
ajst-5049	108	9	figure	figure	VERB
ajst-5049	108	10	5	5	NUM
ajst-5049	108	11	.	.	PUNCT
ajst-5049	108	12	hierarchical	hierarchical	ADJ
ajst-5049	108	13	clustering	clustering	NOUN
ajst-5049	108	14	results	result	NOUN
ajst-5049	108	15	each	each	DET
ajst-5049	108	16	point	point	NOUN
ajst-5049	108	17	in	in	ADP
ajst-5049	108	18	the	the	DET
ajst-5049	108	19	abscissa	abscissa	NOUN
ajst-5049	108	20	represents	represent	VERB
ajst-5049	108	21	a	a	DET
ajst-5049	108	22	sample	sample	NOUN
ajst-5049	108	23	,	,	PUNCT
ajst-5049	108	24	and	and	CCONJ
ajst-5049	108	25	the	the	DET
ajst-5049	108	26	ordinate	ordinate	NOUN
ajst-5049	108	27	represents	represent	VERB
ajst-5049	108	28	the	the	DET
ajst-5049	108	29	distance	distance	NOUN
ajst-5049	108	30	between	between	ADP
ajst-5049	108	31	each	each	DET
ajst-5049	108	32	cluster	cluster	NOUN
ajst-5049	108	33	.	.	PUNCT
ajst-5049	109	1	it	it	PRON
ajst-5049	109	2	can	can	AUX
ajst-5049	109	3	be	be	AUX
ajst-5049	109	4	seen	see	VERB
ajst-5049	109	5	that	that	SCONJ
ajst-5049	109	6	as	as	ADP
ajst-5049	109	7	the	the	DET
ajst-5049	109	8	distance	distance	NOUN
ajst-5049	109	9	increases	increase	NOUN
ajst-5049	109	10	,	,	PUNCT
ajst-5049	109	11	the	the	DET
ajst-5049	109	12	number	number	NOUN
ajst-5049	109	13	of	of	ADP
ajst-5049	109	14	clusters	cluster	NOUN
ajst-5049	109	15	gradually	gradually	ADV
ajst-5049	109	16	decreases	decrease	VERB
ajst-5049	109	17	,	,	PUNCT
ajst-5049	109	18	the	the	DET
ajst-5049	109	19	minimum	minimum	ADJ
ajst-5049	109	20	number	number	NOUN
ajst-5049	109	21	of	of	ADP
ajst-5049	109	22	clusters	cluster	NOUN
ajst-5049	109	23	is	be	AUX
ajst-5049	109	24	2	2	NUM
ajst-5049	109	25	,	,	PUNCT
ajst-5049	109	26	and	and	CCONJ
ajst-5049	109	27	the	the	DET
ajst-5049	109	28	maximum	maximum	ADJ
ajst-5049	109	29	number	number	NOUN
ajst-5049	109	30	of	of	ADP
ajst-5049	109	31	clusters	cluster	NOUN
ajst-5049	109	32	is	be	AUX
ajst-5049	109	33	365	365	NUM
ajst-5049	109	34	(	(	PUNCT
ajst-5049	109	35	the	the	DET
ajst-5049	109	36	total	total	ADJ
ajst-5049	109	37	number	number	NOUN
ajst-5049	109	38	of	of	ADP
ajst-5049	109	39	samples	sample	NOUN
ajst-5049	109	40	)	)	PUNCT
ajst-5049	109	41	.	.	PUNCT
ajst-5049	110	1	the	the	DET
ajst-5049	110	2	distance	distance	NOUN
ajst-5049	110	3	between	between	ADP
ajst-5049	110	4	each	each	DET
ajst-5049	110	5	cluster	cluster	NOUN
ajst-5049	110	6	is	be	AUX
ajst-5049	110	7	too	too	ADV
ajst-5049	110	8	large	large	ADJ
ajst-5049	110	9	or	or	CCONJ
ajst-5049	110	10	too	too	ADV
ajst-5049	110	11	small	small	ADJ
ajst-5049	110	12	,	,	PUNCT
ajst-5049	110	13	which	which	PRON
ajst-5049	110	14	will	will	AUX
ajst-5049	110	15	make	make	VERB
ajst-5049	110	16	the	the	DET
ajst-5049	110	17	clustering	cluster	VERB
ajst-5049	110	18	result	result	NOUN
ajst-5049	110	19	inaccurate	inaccurate	ADJ
ajst-5049	110	20	.	.	PUNCT
ajst-5049	111	1	therefore	therefore	ADV
ajst-5049	111	2	,	,	PUNCT
ajst-5049	111	3	two	two	NUM
ajst-5049	111	4	threshold	threshold	NOUN
ajst-5049	111	5	distances	distance	NOUN
ajst-5049	111	6	are	be	AUX
ajst-5049	111	7	set	set	VERB
ajst-5049	111	8	to	to	PART
ajst-5049	111	9	determine	determine	VERB
ajst-5049	111	10	the	the	DET
ajst-5049	111	11	range	range	NOUN
ajst-5049	111	12	of	of	ADP
ajst-5049	111	13	cluster	cluster	NOUN
ajst-5049	111	14	number	number	NOUN
ajst-5049	111	15	k.	k.	PROPN
ajst-5049	112	1	here	here	ADV
ajst-5049	112	2	,	,	PUNCT
ajst-5049	112	3	the	the	DET
ajst-5049	112	4	minimum	minimum	ADJ
ajst-5049	112	5	distance	distance	NOUN
ajst-5049	112	6	is	be	AUX
ajst-5049	112	7	0.3	0.3	NUM
ajst-5049	112	8	,	,	PUNCT
ajst-5049	112	9	the	the	DET
ajst-5049	112	10	maximum	maximum	ADJ
ajst-5049	112	11	distance	distance	NOUN
ajst-5049	112	12	is	be	AUX
ajst-5049	112	13	0.9	0.9	NUM
ajst-5049	112	14	,	,	PUNCT
ajst-5049	112	15	and	and	CCONJ
ajst-5049	112	16	the	the	DET
ajst-5049	112	17	value	value	NOUN
ajst-5049	112	18	range	range	NOUN
ajst-5049	112	19	of	of	ADP
ajst-5049	112	20	k	k	PROPN
ajst-5049	112	21	is	be	AUX
ajst-5049	112	22	[	[	X
ajst-5049	112	23	2,11	2,11	X
ajst-5049	112	24	]	]	SYM
ajst-5049	112	25	.	.	PUNCT
ajst-5049	113	1	2	2	X
ajst-5049	113	2	)	)	PUNCT
ajst-5049	113	3	determine	determine	VERB
ajst-5049	113	4	the	the	DET
ajst-5049	113	5	optimal	optimal	ADJ
ajst-5049	113	6	number	number	NOUN
ajst-5049	113	7	of	of	ADP
ajst-5049	113	8	clusters	cluster	NOUN
ajst-5049	113	9	:	:	PUNCT
ajst-5049	113	10	the	the	DET
ajst-5049	113	11	k	k	NOUN
ajst-5049	113	12	-	-	PUNCT
ajst-5049	113	13	means	mean	VERB
ajst-5049	113	14	clustering	clustering	NOUN
ajst-5049	113	15	results	result	NOUN
ajst-5049	113	16	of	of	ADP
ajst-5049	113	17	each	each	DET
ajst-5049	113	18	cluster	cluster	NOUN
ajst-5049	113	19	number	number	NOUN
ajst-5049	113	20	are	be	AUX
ajst-5049	113	21	evaluated	evaluate	VERB
ajst-5049	113	22	by	by	ADP
ajst-5049	113	23	19	19	NUM
ajst-5049	113	24	evaluation	evaluation	NOUN
ajst-5049	113	25	indexes	index	NOUN
ajst-5049	113	26	,	,	PUNCT
ajst-5049	113	27	and	and	CCONJ
ajst-5049	113	28	the	the	DET
ajst-5049	113	29	final	final	ADJ
ajst-5049	113	30	voting	voting	NOUN
ajst-5049	113	31	results	result	NOUN
ajst-5049	113	32	are	be	AUX
ajst-5049	113	33	shown	show	VERB
ajst-5049	113	34	in	in	ADP
ajst-5049	113	35	figure	figure	NOUN
ajst-5049	113	36	6	6	NUM
ajst-5049	113	37	.	.	PUNCT
ajst-5049	114	1	figure	figure	VERB
ajst-5049	114	2	6	6	NUM
ajst-5049	114	3	.	.	PUNCT
ajst-5049	114	4	evaluation	evaluation	NOUN
ajst-5049	114	5	index	index	NOUN
ajst-5049	114	6	'	'	PART
ajst-5049	114	7	votes	vote	NOUN
ajst-5049	114	8	'	'	PART
ajst-5049	114	9	results	result	NOUN
ajst-5049	114	10	from	from	ADP
ajst-5049	114	11	the	the	DET
ajst-5049	114	12	graph	graph	NOUN
ajst-5049	114	13	,	,	PUNCT
ajst-5049	114	14	it	it	PRON
ajst-5049	114	15	can	can	AUX
ajst-5049	114	16	be	be	AUX
ajst-5049	114	17	seen	see	VERB
ajst-5049	114	18	that	that	SCONJ
ajst-5049	114	19	the	the	DET
ajst-5049	114	20	number	number	NOUN
ajst-5049	114	21	of	of	ADP
ajst-5049	114	22	clusters	cluster	NOUN
ajst-5049	114	23	k	k	PROPN
ajst-5049	115	1	=	=	SYM
ajst-5049	115	2	3	3	NUM
ajst-5049	115	3	gets	get	VERB
ajst-5049	115	4	the	the	DET
ajst-5049	115	5	most	most	ADJ
ajst-5049	115	6	'	'	PUNCT
ajst-5049	115	7	votes	vote	NOUN
ajst-5049	115	8	'	'	PUNCT
ajst-5049	115	9	,	,	PUNCT
ajst-5049	115	10	which	which	PRON
ajst-5049	115	11	is	be	AUX
ajst-5049	115	12	9	9	NUM
ajst-5049	115	13	'	'	NUM
ajst-5049	115	14	votes	vote	NOUN
ajst-5049	115	15	'	'	PUNCT
ajst-5049	115	16	,	,	PUNCT
ajst-5049	115	17	that	that	PRON
ajst-5049	115	18	is	be	AUX
ajst-5049	115	19	to	to	PART
ajst-5049	115	20	say	say	VERB
ajst-5049	115	21	,	,	PUNCT
ajst-5049	115	22	the	the	DET
ajst-5049	115	23	evaluation	evaluation	NOUN
ajst-5049	115	24	results	result	NOUN
ajst-5049	115	25	of	of	ADP
ajst-5049	115	26	9	9	NUM
ajst-5049	115	27	of	of	ADP
ajst-5049	115	28	the	the	DET
ajst-5049	115	29	19	19	NUM
ajst-5049	115	30	evaluation	evaluation	NOUN
ajst-5049	115	31	indexes	index	NOUN
ajst-5049	115	32	are	be	AUX
ajst-5049	115	33	the	the	DET
ajst-5049	115	34	best	good	ADJ
ajst-5049	115	35	when	when	SCONJ
ajst-5049	115	36	k	k	PROPN
ajst-5049	115	37	=	=	SYM
ajst-5049	115	38	3	3	X
ajst-5049	115	39	.	.	PUNCT
ajst-5049	116	1	thus	thus	ADV
ajst-5049	116	2	,	,	PUNCT
ajst-5049	116	3	the	the	DET
ajst-5049	116	4	optimal	optimal	ADJ
ajst-5049	116	5	number	number	NOUN
ajst-5049	116	6	of	of	ADP
ajst-5049	116	7	clusters	cluster	NOUN
ajst-5049	116	8	is	be	AUX
ajst-5049	116	9	determined	determine	VERB
ajst-5049	116	10	to	to	PART
ajst-5049	116	11	be	be	AUX
ajst-5049	116	12	3	3	NUM
ajst-5049	116	13	.	.	NOUN
ajst-5049	116	14	3	3	NUM
ajst-5049	116	15	)	)	PUNCT
ajst-5049	116	16	finally	finally	ADV
ajst-5049	116	17	k	k	X
ajst-5049	116	18	-	-	PUNCT
ajst-5049	116	19	means	mean	VERB
ajst-5049	116	20	clustering	clustering	NOUN
ajst-5049	116	21	:	:	PUNCT
ajst-5049	116	22	k	k	X
ajst-5049	116	23	-	-	PUNCT
ajst-5049	116	24	means	mean	VERB
ajst-5049	116	25	clustering	clustering	NOUN
ajst-5049	116	26	is	be	AUX
ajst-5049	116	27	performed	perform	VERB
ajst-5049	116	28	based	base	VERB
ajst-5049	116	29	on	on	ADP
ajst-5049	116	30	the	the	DET
ajst-5049	116	31	optimal	optimal	ADJ
ajst-5049	116	32	number	number	NOUN
ajst-5049	116	33	of	of	ADP
ajst-5049	116	34	clusters	cluster	NOUN
ajst-5049	116	35	obtained	obtain	VERB
ajst-5049	116	36	above	above	ADV
ajst-5049	116	37	.	.	PUNCT
ajst-5049	117	1	finally	finally	ADV
ajst-5049	117	2	,	,	PUNCT
ajst-5049	117	3	the	the	DET
ajst-5049	117	4	clustering	clustering	NOUN
ajst-5049	117	5	results	result	NOUN
ajst-5049	117	6	are	be	AUX
ajst-5049	117	7	shown	show	VERB
ajst-5049	117	8	in	in	ADP
ajst-5049	117	9	table	table	NOUN
ajst-5049	117	10	2	2	NUM
ajst-5049	117	11	.	.	PUNCT
ajst-5049	118	1	among	among	ADP
ajst-5049	118	2	them	they	PRON
ajst-5049	118	3	,	,	PUNCT
ajst-5049	118	4	daily	daily	ADJ
ajst-5049	118	5	arrival	arrival	NOUN
ajst-5049	118	6	traffic	traffic	NOUN
ajst-5049	118	7	,	,	PUNCT
ajst-5049	118	8	daily	daily	ADJ
ajst-5049	118	9	departure	departure	NOUN
ajst-5049	118	10	traffic	traffic	NOUN
ajst-5049	118	11	,	,	PUNCT
ajst-5049	118	12	total	total	ADJ
ajst-5049	118	13	daily	daily	ADJ
ajst-5049	118	14	traffic	traffic	NOUN
ajst-5049	118	15	,	,	PUNCT
ajst-5049	118	16	the	the	DET
ajst-5049	118	17	sum	sum	NOUN
ajst-5049	118	18	of	of	ADP
ajst-5049	118	19	arrival	arrival	NOUN
ajst-5049	118	20	traffic	traffic	NOUN
ajst-5049	118	21	in	in	ADP
ajst-5049	118	22	the	the	DET
ajst-5049	118	23	evening	evening	NOUN
ajst-5049	118	24	peak	peak	NOUN
ajst-5049	118	25	period	period	NOUN
ajst-5049	118	26	,	,	PUNCT
ajst-5049	118	27	the	the	DET
ajst-5049	118	28	sum	sum	NOUN
ajst-5049	118	29	of	of	ADP
ajst-5049	118	30	departure	departure	NOUN
ajst-5049	118	31	traffic	traffic	NOUN
ajst-5049	118	32	in	in	ADP
ajst-5049	118	33	the	the	DET
ajst-5049	118	34	morning	morning	NOUN
ajst-5049	118	35	peak	peak	NOUN
ajst-5049	118	36	period	period	NOUN
ajst-5049	118	37	,	,	PUNCT
ajst-5049	118	38	the	the	DET
ajst-5049	118	39	sum	sum	NOUN
ajst-5049	118	40	of	of	ADP
ajst-5049	118	41	daily	daily	ADJ
ajst-5049	118	42	trough	trough	NOUN
ajst-5049	118	43	traffic	traffic	NOUN
ajst-5049	118	44	,	,	PUNCT
ajst-5049	118	45	and	and	CCONJ
ajst-5049	118	46	the	the	DET
ajst-5049	118	47	sum	sum	NOUN
ajst-5049	118	48	of	of	ADP
ajst-5049	118	49	daily	daily	ADJ
ajst-5049	118	50	peak	peak	NOUN
ajst-5049	118	51	traffic	traffic	NOUN
ajst-5049	118	52	are	be	AUX
ajst-5049	118	53	shown	show	VERB
ajst-5049	118	54	as	as	ADP
ajst-5049	118	55	the	the	DET
ajst-5049	118	56	mean	mean	ADJ
ajst-5049	118	57	value	value	NOUN
ajst-5049	118	58	of	of	ADP
ajst-5049	118	59	each	each	DET
ajst-5049	118	60	category	category	NOUN
ajst-5049	118	61	.	.	PUNCT
ajst-5049	119	1	table	table	NOUN
ajst-5049	119	2	2	2	NUM
ajst-5049	119	3	.	.	PUNCT
ajst-5049	120	1	the	the	DET
ajst-5049	120	2	clustering	cluster	VERB
ajst-5049	120	3	results	result	NOUN
ajst-5049	120	4	of	of	ADP
ajst-5049	120	5	traffic	traffic	NOUN
ajst-5049	120	6	similar	similar	ADJ
ajst-5049	120	7	days	day	NOUN
ajst-5049	120	8	of	of	ADP
ajst-5049	120	9	tianjin	tianjin	PROPN
ajst-5049	120	10	binhai	binhai	PROPN
ajst-5049	120	11	airport	airport	PROPN
ajst-5049	120	12	flow	flow	NOUN
ajst-5049	120	13	in	in	ADP
ajst-5049	120	14	2020	2020	NUM
ajst-5049	120	15	category	category	NOUN
ajst-5049	120	16	quantity	quantity	NOUN
ajst-5049	120	17	characteristic	characteristic	ADJ
ajst-5049	120	18	indicators	indicator	NOUN
ajst-5049	120	19	daily	daily	ADJ
ajst-5049	120	20	arrival	arrival	NOUN
ajst-5049	120	21	traffic	traffic	NOUN
ajst-5049	120	22	/	/	SYM
ajst-5049	120	23	sortie	sortie	NOUN
ajst-5049	120	24	daily	daily	ADJ
ajst-5049	120	25	departure	departure	NOUN
ajst-5049	120	26	traffic	traffic	NOUN
ajst-5049	120	27	/	/	SYM
ajst-5049	120	28	sortie	sortie	NOUN
ajst-5049	120	29	total	total	ADJ
ajst-5049	120	30	daily	daily	ADJ
ajst-5049	120	31	traffic	traffic	NOUN
ajst-5049	120	32	/	/	SYM
ajst-5049	120	33	sortie	sortie	NOUN
ajst-5049	120	34	evening	evening	NOUN
ajst-5049	120	35	peak	peak	NOUN
ajst-5049	120	36	arrival	arrival	NOUN
ajst-5049	120	37	traffic	traffic	NOUN
ajst-5049	120	38	/	/	SYM
ajst-5049	120	39	sortie	sortie	NOUN
ajst-5049	120	40	morning	morning	NOUN
ajst-5049	120	41	peak	peak	NOUN
ajst-5049	120	42	departure	departure	NOUN
ajst-5049	120	43	traffic	traffic	NOUN
ajst-5049	120	44	/	/	SYM
ajst-5049	120	45	sortie	sortie	NOUN
ajst-5049	120	46	daily	daily	ADJ
ajst-5049	120	47	trough	trough	NOUN
ajst-5049	120	48	traffic/	traffic/	NUM
ajst-5049	120	49	sortie	sortie	NOUN
ajst-5049	120	50	daily	daily	ADV
ajst-5049	120	51	peak	peak	VERB
ajst-5049	120	52	traffic/	traffic/	NUM
ajst-5049	120	53	sortie	sortie	NOUN
ajst-5049	120	54	1	1	NUM
ajst-5049	120	55	92	92	NUM
ajst-5049	120	56	68	68	NUM
ajst-5049	120	57	69	69	NUM
ajst-5049	120	58	137	137	NUM
ajst-5049	120	59	9	9	NUM
ajst-5049	120	60	11	11	NUM
ajst-5049	120	61	2	2	NUM
ajst-5049	120	62	17	17	NUM
ajst-5049	120	63	2	2	NUM
ajst-5049	120	64	146	146	NUM
ajst-5049	120	65	204	204	NUM
ajst-5049	120	66	209	209	NUM
ajst-5049	120	67	414	414	NUM
ajst-5049	120	68	26	26	NUM
ajst-5049	120	69	36	36	NUM
ajst-5049	120	70	2	2	NUM
ajst-5049	120	71	51	51	NUM
ajst-5049	120	72	3	3	NUM
ajst-5049	120	73	127	127	NUM
ajst-5049	120	74	158	158	NUM
ajst-5049	120	75	161	161	NUM
ajst-5049	120	76	319	319	NUM
ajst-5049	120	77	19	19	NUM
ajst-5049	120	78	28	28	NUM
ajst-5049	120	79	2	2	NUM
ajst-5049	120	80	42	42	NUM
ajst-5049	120	81	5	5	NUM
ajst-5049	120	82	.	.	PUNCT
ajst-5049	120	83	analysis	analysis	NOUN
ajst-5049	120	84	of	of	ADP
ajst-5049	120	85	results	result	NOUN
ajst-5049	120	86	1	1	NUM
ajst-5049	120	87	)	)	PUNCT
ajst-5049	120	88	similar	similar	ADJ
ajst-5049	120	89	day	day	NOUN
ajst-5049	120	90	distribution	distribution	NOUN
ajst-5049	120	91	:	:	PUNCT
ajst-5049	120	92	from	from	ADP
ajst-5049	120	93	table	table	NOUN
ajst-5049	120	94	2	2	NUM
ajst-5049	120	95	,	,	PUNCT
ajst-5049	120	96	it	it	PRON
ajst-5049	120	97	can	can	AUX
ajst-5049	120	98	be	be	AUX
ajst-5049	120	99	seen	see	VERB
ajst-5049	120	100	that	that	SCONJ
ajst-5049	120	101	the	the	DET
ajst-5049	120	102	daily	daily	ADJ
ajst-5049	120	103	total	total	ADJ
ajst-5049	120	104	flow	flow	NOUN
ajst-5049	120	105	of	of	ADP
ajst-5049	120	106	category	category	NOUN
ajst-5049	120	107	2	2	NUM
ajst-5049	120	108	is	be	AUX
ajst-5049	120	109	the	the	DET
ajst-5049	120	110	largest	large	ADJ
ajst-5049	120	111	,	,	PUNCT
ajst-5049	120	112	reaching	reach	VERB
ajst-5049	120	113	414	414	NUM
ajst-5049	120	114	sorties	sortie	NOUN
ajst-5049	120	115	,	,	PUNCT
ajst-5049	120	116	and	and	CCONJ
ajst-5049	120	117	the	the	DET
ajst-5049	120	118	peak	peak	ADJ
ajst-5049	120	119	hours	hour	NOUN
ajst-5049	120	120	of	of	ADP
ajst-5049	120	121	arrival	arrival	NOUN
ajst-5049	120	122	and	and	CCONJ
ajst-5049	120	123	departure	departure	NOUN
ajst-5049	120	124	and	and	CCONJ
ajst-5049	120	125	daily	daily	ADJ
ajst-5049	120	126	peak	peak	NOUN
ajst-5049	120	127	flow	flow	NOUN
ajst-5049	120	128	are	be	AUX
ajst-5049	120	129	also	also	ADV
ajst-5049	120	130	the	the	DET
ajst-5049	120	131	highest	high	ADJ
ajst-5049	120	132	.	.	PUNCT
ajst-5049	121	1	at	at	ADP
ajst-5049	121	2	the	the	DET
ajst-5049	121	3	same	same	ADJ
ajst-5049	121	4	time	time	NOUN
ajst-5049	121	5	,	,	PUNCT
ajst-5049	121	6	the	the	DET
ajst-5049	121	7	number	number	NOUN
ajst-5049	121	8	of	of	ADP
ajst-5049	121	9	samples	sample	NOUN
ajst-5049	121	10	in	in	ADP
ajst-5049	121	11	this	this	DET
ajst-5049	121	12	category	category	NOUN
ajst-5049	121	13	is	be	AUX
ajst-5049	121	14	the	the	DET
ajst-5049	121	15	largest	large	ADJ
ajst-5049	121	16	,	,	PUNCT
ajst-5049	121	17	with	with	ADP
ajst-5049	121	18	a	a	DET
ajst-5049	121	19	total	total	NOUN
ajst-5049	121	20	of	of	ADP
ajst-5049	121	21	146	146	NUM
ajst-5049	121	22	,	,	PUNCT
ajst-5049	121	23	accounting	account	VERB
ajst-5049	121	24	for	for	ADP
ajst-5049	121	25	40	40	NUM
ajst-5049	121	26	%	%	NOUN
ajst-5049	121	27	of	of	ADP
ajst-5049	121	28	the	the	DET
ajst-5049	121	29	total	total	ADJ
ajst-5049	121	30	number	number	NOUN
ajst-5049	121	31	of	of	ADP
ajst-5049	121	32	days	day	NOUN
ajst-5049	121	33	in	in	ADP
ajst-5049	121	34	2020	2020	NUM
ajst-5049	121	35	.	.	PUNCT
ajst-5049	122	1	the	the	DET
ajst-5049	122	2	daily	daily	ADJ
ajst-5049	122	3	total	total	ADJ
ajst-5049	122	4	flow	flow	NOUN
ajst-5049	122	5	of	of	ADP
ajst-5049	122	6	category	category	NOUN
ajst-5049	122	7	1	1	NUM
ajst-5049	122	8	is	be	AUX
ajst-5049	122	9	the	the	DET
ajst-5049	122	10	smallest	small	ADJ
ajst-5049	122	11	,	,	PUNCT
ajst-5049	122	12	only	only	ADV
ajst-5049	122	13	137	137	NUM
ajst-5049	122	14	sorties	sortie	NOUN
ajst-5049	122	15	,	,	PUNCT
ajst-5049	122	16	and	and	CCONJ
ajst-5049	122	17	the	the	DET
ajst-5049	122	18	peak	peak	NOUN
ajst-5049	122	19	flow	flow	NOUN
ajst-5049	122	20	and	and	CCONJ
ajst-5049	122	21	daily	daily	ADJ
ajst-5049	122	22	peak	peak	NOUN
ajst-5049	122	23	flow	flow	NOUN
ajst-5049	122	24	are	be	AUX
ajst-5049	122	25	also	also	ADV
ajst-5049	122	26	the	the	DET
ajst-5049	122	27	least	least	ADJ
ajst-5049	122	28	,	,	PUNCT
ajst-5049	122	29	with	with	ADP
ajst-5049	122	30	only	only	ADV
ajst-5049	122	31	93	93	NUM
ajst-5049	122	32	samples	sample	NOUN
ajst-5049	122	33	in	in	ADP
ajst-5049	122	34	this	this	DET
ajst-5049	122	35	category	category	NOUN
ajst-5049	122	36	.	.	PUNCT
ajst-5049	123	1	the	the	DET
ajst-5049	123	2	total	total	ADJ
ajst-5049	123	3	daily	daily	ADJ
ajst-5049	123	4	flow	flow	NOUN
ajst-5049	123	5	of	of	ADP
ajst-5049	123	6	category	category	NOUN
ajst-5049	123	7	3	3	NUM
ajst-5049	123	8	is	be	AUX
ajst-5049	123	9	high	high	ADJ
ajst-5049	123	10	,	,	PUNCT
ajst-5049	123	11	reaching	reach	VERB
ajst-5049	123	12	319	319	NUM
ajst-5049	123	13	sorties	sortie	NOUN
ajst-5049	123	14	.	.	PUNCT
ajst-5049	124	1	in	in	ADP
ajst-5049	124	2	addition	addition	NOUN
ajst-5049	124	3	,	,	PUNCT
ajst-5049	124	4	the	the	DET
ajst-5049	124	5	number	number	NOUN
ajst-5049	124	6	of	of	ADP
ajst-5049	124	7	samples	sample	NOUN
ajst-5049	124	8	in	in	ADP
ajst-5049	124	9	this	this	DET
ajst-5049	124	10	category	category	NOUN
ajst-5049	124	11	is	be	AUX
ajst-5049	124	12	127	127	NUM
ajst-5049	124	13	.	.	PUNCT
ajst-5049	125	1	combining	combine	VERB
ajst-5049	125	2	the	the	DET
ajst-5049	125	3	above	above	ADJ
ajst-5049	125	4	clustering	clustering	ADJ
ajst-5049	125	5	results	result	NOUN
ajst-5049	125	6	with	with	ADP
ajst-5049	125	7	the	the	DET
ajst-5049	125	8	month	month	NOUN
ajst-5049	125	9	can	can	AUX
ajst-5049	125	10	better	well	ADV
ajst-5049	125	11	analyze	analyze	VERB
ajst-5049	125	12	,	,	PUNCT
ajst-5049	125	13	and	and	CCONJ
ajst-5049	125	14	the	the	DET
ajst-5049	125	15	distribution	distribution	NOUN
ajst-5049	125	16	of	of	ADP
ajst-5049	125	17	each	each	DET
ajst-5049	125	18	category	category	NOUN
ajst-5049	125	19	in	in	ADP
ajst-5049	125	20	each	each	DET
ajst-5049	125	21	month	month	NOUN
ajst-5049	125	22	is	be	AUX
ajst-5049	125	23	shown	show	VERB
ajst-5049	125	24	in	in	ADP
ajst-5049	125	25	figure	figure	NOUN
ajst-5049	125	26	7	7	NUM
ajst-5049	125	27	below	below	ADV
ajst-5049	125	28	.	.	PUNCT
ajst-5049	126	1	figure	figure	VERB
ajst-5049	126	2	7	7	NUM
ajst-5049	126	3	.	.	PUNCT
ajst-5049	127	1	distribution	distribution	NOUN
ajst-5049	127	2	of	of	ADP
ajst-5049	127	3	traffic	traffic	NOUN
ajst-5049	127	4	similar	similar	ADJ
ajst-5049	127	5	days	day	NOUN
ajst-5049	127	6	in	in	ADP
ajst-5049	127	7	2020	2020	NUM
ajst-5049	127	8	160	160	NUM
ajst-5049	127	9	in	in	ADP
ajst-5049	127	10	january	january	PROPN
ajst-5049	127	11	2020	2020	NUM
ajst-5049	127	12	,	,	PUNCT
ajst-5049	127	13	the	the	DET
ajst-5049	127	14	coronavirus	coronavirus	NOUN
ajst-5049	127	15	epidemic	epidemic	NOUN
ajst-5049	127	16	began	begin	VERB
ajst-5049	127	17	to	to	PART
ajst-5049	127	18	show	show	VERB
ajst-5049	127	19	signs	sign	NOUN
ajst-5049	127	20	,	,	PUNCT
ajst-5049	127	21	but	but	CCONJ
ajst-5049	127	22	traffic	traffic	NOUN
ajst-5049	127	23	control	control	NOUN
ajst-5049	127	24	has	have	AUX
ajst-5049	127	25	not	not	PART
ajst-5049	127	26	been	be	AUX
ajst-5049	127	27	issued	issue	VERB
ajst-5049	127	28	yet	yet	ADV
ajst-5049	127	29	,	,	PUNCT
ajst-5049	127	30	and	and	CCONJ
ajst-5049	127	31	the	the	DET
ajst-5049	127	32	flow	flow	NOUN
ajst-5049	127	33	of	of	ADP
ajst-5049	127	34	binhai	binhai	NOUN
ajst-5049	127	35	airport	airport	NOUN
ajst-5049	127	36	conforms	conform	VERB
ajst-5049	127	37	to	to	ADP
ajst-5049	127	38	the	the	DET
ajst-5049	127	39	law	law	NOUN
ajst-5049	127	40	of	of	ADP
ajst-5049	127	41	the	the	DET
ajst-5049	127	42	past	past	ADJ
ajst-5049	127	43	years	year	NOUN
ajst-5049	127	44	.	.	PUNCT
ajst-5049	128	1	it	it	PRON
ajst-5049	128	2	can	can	AUX
ajst-5049	128	3	be	be	AUX
ajst-5049	128	4	seen	see	VERB
ajst-5049	128	5	that	that	SCONJ
ajst-5049	128	6	january	january	PROPN
ajst-5049	128	7	is	be	AUX
ajst-5049	128	8	mostly	mostly	ADV
ajst-5049	128	9	a	a	DET
ajst-5049	128	10	similar	similar	ADJ
ajst-5049	128	11	day	day	NOUN
ajst-5049	128	12	of	of	ADP
ajst-5049	128	13	category	category	NOUN
ajst-5049	128	14	2	2	NUM
ajst-5049	128	15	,	,	PUNCT
ajst-5049	128	16	which	which	PRON
ajst-5049	128	17	is	be	AUX
ajst-5049	128	18	close	close	ADJ
ajst-5049	128	19	to	to	ADP
ajst-5049	128	20	the	the	DET
ajst-5049	128	21	spring	spring	NOUN
ajst-5049	128	22	festival	festival	NOUN
ajst-5049	128	23	.	.	PUNCT
ajst-5049	129	1	students	student	NOUN
ajst-5049	129	2	are	be	AUX
ajst-5049	129	3	taking	take	VERB
ajst-5049	129	4	holidays	holiday	NOUN
ajst-5049	129	5	one	one	NUM
ajst-5049	129	6	after	after	ADP
ajst-5049	129	7	another	another	PRON
ajst-5049	129	8	,	,	PUNCT
ajst-5049	129	9	and	and	CCONJ
ajst-5049	129	10	working	work	VERB
ajst-5049	129	11	people	people	NOUN
ajst-5049	129	12	are	be	AUX
ajst-5049	129	13	returning	return	VERB
ajst-5049	129	14	home	home	ADV
ajst-5049	129	15	,	,	PUNCT
ajst-5049	129	16	so	so	CCONJ
ajst-5049	129	17	the	the	DET
ajst-5049	129	18	airport	airport	NOUN
ajst-5049	129	19	traffic	traffic	NOUN
ajst-5049	129	20	is	be	AUX
ajst-5049	129	21	large	large	ADJ
ajst-5049	129	22	.	.	PUNCT
ajst-5049	130	1	since	since	SCONJ
ajst-5049	130	2	january	january	PROPN
ajst-5049	130	3	30	30	NUM
ajst-5049	130	4	,	,	PUNCT
ajst-5049	130	5	2020	2020	NUM
ajst-5049	130	6	,	,	PUNCT
ajst-5049	130	7	tianjin	tianjin	PROPN
ajst-5049	130	8	began	begin	VERB
ajst-5049	130	9	to	to	PART
ajst-5049	130	10	seal	seal	VERB
ajst-5049	130	11	the	the	DET
ajst-5049	130	12	city	city	NOUN
ajst-5049	130	13	,	,	PUNCT
ajst-5049	130	14	which	which	PRON
ajst-5049	130	15	lasted	last	VERB
ajst-5049	130	16	until	until	ADP
ajst-5049	130	17	the	the	DET
ajst-5049	130	18	beginning	beginning	NOUN
ajst-5049	130	19	of	of	ADP
ajst-5049	130	20	may	may	PROPN
ajst-5049	130	21	2020	2020	NUM
ajst-5049	130	22	.	.	PUNCT
ajst-5049	131	1	the	the	DET
ajst-5049	131	2	similar	similar	ADJ
ajst-5049	131	3	days	day	NOUN
ajst-5049	131	4	of	of	ADP
ajst-5049	131	5	category	category	NOUN
ajst-5049	131	6	1	1	NUM
ajst-5049	131	7	gathered	gather	VERB
ajst-5049	131	8	in	in	ADP
ajst-5049	131	9	this	this	DET
ajst-5049	131	10	period	period	NOUN
ajst-5049	131	11	.	.	PUNCT
ajst-5049	132	1	during	during	ADP
ajst-5049	132	2	this	this	DET
ajst-5049	132	3	period	period	NOUN
ajst-5049	132	4	,	,	PUNCT
ajst-5049	132	5	the	the	DET
ajst-5049	132	6	traffic	traffic	NOUN
ajst-5049	132	7	control	control	NOUN
ajst-5049	132	8	policy	policy	NOUN
ajst-5049	132	9	was	be	AUX
ajst-5049	132	10	the	the	DET
ajst-5049	132	11	most	most	ADV
ajst-5049	132	12	stringent	stringent	ADJ
ajst-5049	132	13	.	.	PUNCT
ajst-5049	133	1	even	even	ADV
ajst-5049	133	2	during	during	ADP
ajst-5049	133	3	the	the	DET
ajst-5049	133	4	spring	spring	NOUN
ajst-5049	133	5	festival	festival	NOUN
ajst-5049	133	6	in	in	ADP
ajst-5049	133	7	late	late	ADJ
ajst-5049	133	8	january	january	PROPN
ajst-5049	133	9	and	and	CCONJ
ajst-5049	133	10	early	early	ADJ
ajst-5049	133	11	february	february	PROPN
ajst-5049	133	12	,	,	PUNCT
ajst-5049	133	13	the	the	DET
ajst-5049	133	14	airport	airport	NOUN
ajst-5049	133	15	traffic	traffic	NOUN
ajst-5049	133	16	decreased	decrease	VERB
ajst-5049	133	17	significantly	significantly	ADV
ajst-5049	133	18	,	,	PUNCT
ajst-5049	133	19	only	only	ADV
ajst-5049	133	20	33	33	NUM
ajst-5049	133	21	%	%	NOUN
ajst-5049	133	22	of	of	ADP
ajst-5049	133	23	the	the	DET
ajst-5049	133	24	daily	daily	ADJ
ajst-5049	133	25	traffic	traffic	NOUN
ajst-5049	133	26	in	in	ADP
ajst-5049	133	27	january	january	PROPN
ajst-5049	133	28	,	,	PUNCT
ajst-5049	133	29	completely	completely	ADV
ajst-5049	133	30	deviating	deviate	VERB
ajst-5049	133	31	from	from	ADP
ajst-5049	133	32	the	the	DET
ajst-5049	133	33	usual	usual	ADJ
ajst-5049	133	34	traffic	traffic	NOUN
ajst-5049	133	35	rules	rule	NOUN
ajst-5049	133	36	,	,	PUNCT
ajst-5049	133	37	and	and	CCONJ
ajst-5049	133	38	a	a	DET
ajst-5049	133	39	large	large	ADJ
ajst-5049	133	40	number	number	NOUN
ajst-5049	133	41	of	of	ADP
ajst-5049	133	42	people	people	NOUN
ajst-5049	133	43	were	be	AUX
ajst-5049	133	44	trapped	trap	VERB
ajst-5049	133	45	in	in	ADP
ajst-5049	133	46	their	their	PRON
ajst-5049	133	47	hometowns	hometown	NOUN
ajst-5049	133	48	.	.	PUNCT
ajst-5049	134	1	in	in	ADP
ajst-5049	134	2	early	early	ADJ
ajst-5049	134	3	may	may	PROPN
ajst-5049	134	4	2020	2020	NUM
ajst-5049	134	5	,	,	PUNCT
ajst-5049	134	6	the	the	DET
ajst-5049	134	7	epidemic	epidemic	NOUN
ajst-5049	134	8	was	be	AUX
ajst-5049	134	9	under	under	ADP
ajst-5049	134	10	control	control	NOUN
ajst-5049	134	11	in	in	ADP
ajst-5049	134	12	most	most	ADJ
ajst-5049	134	13	parts	part	NOUN
ajst-5049	134	14	of	of	ADP
ajst-5049	134	15	the	the	DET
ajst-5049	134	16	country	country	NOUN
ajst-5049	134	17	.	.	PUNCT
ajst-5049	135	1	tianjin	tianjin	PROPN
ajst-5049	135	2	began	begin	VERB
ajst-5049	135	3	to	to	PART
ajst-5049	135	4	implement	implement	VERB
ajst-5049	135	5	a	a	DET
ajst-5049	135	6	'	'	PUNCT
ajst-5049	135	7	dynamic	dynamic	ADJ
ajst-5049	135	8	clean	clean	ADJ
ajst-5049	135	9	-	-	PUNCT
ajst-5049	135	10	up	up	ADP
ajst-5049	135	11	'	'	PUNCT
ajst-5049	135	12	policy	policy	NOUN
ajst-5049	135	13	,	,	PUNCT
ajst-5049	135	14	that	that	ADV
ajst-5049	135	15	is	is	ADV
ajst-5049	135	16	,	,	PUNCT
ajst-5049	135	17	people	people	NOUN
ajst-5049	135	18	did	do	AUX
ajst-5049	135	19	not	not	PART
ajst-5049	135	20	have	have	VERB
ajst-5049	135	21	to	to	PART
ajst-5049	135	22	go	go	VERB
ajst-5049	135	23	out	out	ADV
ajst-5049	135	24	,	,	PUNCT
ajst-5049	135	25	traffic	traffic	NOUN
ajst-5049	135	26	control	control	NOUN
ajst-5049	135	27	was	be	AUX
ajst-5049	135	28	relaxed	relax	VERB
ajst-5049	135	29	,	,	PUNCT
ajst-5049	135	30	and	and	CCONJ
ajst-5049	135	31	daily	daily	ADJ
ajst-5049	135	32	traffic	traffic	NOUN
ajst-5049	135	33	at	at	ADP
ajst-5049	135	34	coastal	coastal	ADJ
ajst-5049	135	35	airports	airport	NOUN
ajst-5049	135	36	began	begin	VERB
ajst-5049	135	37	to	to	PART
ajst-5049	135	38	increase	increase	VERB
ajst-5049	135	39	slowly	slowly	ADV
ajst-5049	135	40	,	,	PUNCT
ajst-5049	135	41	returning	return	VERB
ajst-5049	135	42	to	to	ADP
ajst-5049	135	43	77	77	NUM
ajst-5049	135	44	%	%	NOUN
ajst-5049	135	45	of	of	ADP
ajst-5049	135	46	daily	daily	ADJ
ajst-5049	135	47	traffic	traffic	NOUN
ajst-5049	135	48	in	in	ADP
ajst-5049	135	49	january	january	PROPN
ajst-5049	135	50	.	.	PUNCT
ajst-5049	136	1	most	most	ADJ
ajst-5049	136	2	of	of	ADP
ajst-5049	136	3	the	the	DET
ajst-5049	136	4	days	day	NOUN
ajst-5049	136	5	before	before	ADP
ajst-5049	136	6	july	july	PROPN
ajst-5049	136	7	were	be	AUX
ajst-5049	136	8	similar	similar	ADJ
ajst-5049	136	9	days	day	NOUN
ajst-5049	136	10	in	in	ADP
ajst-5049	136	11	category	category	NOUN
ajst-5049	136	12	3	3	NUM
ajst-5049	136	13	.	.	PUNCT
ajst-5049	137	1	in	in	ADP
ajst-5049	137	2	july	july	PROPN
ajst-5049	137	3	2020	2020	NUM
ajst-5049	137	4	,	,	PUNCT
ajst-5049	137	5	the	the	DET
ajst-5049	137	6	'	'	PUNCT
ajst-5049	137	7	dynamic	dynamic	ADJ
ajst-5049	137	8	clean	clean	ADJ
ajst-5049	137	9	-	-	PUNCT
ajst-5049	137	10	up	up	NOUN
ajst-5049	137	11	'	'	PUNCT
ajst-5049	137	12	policy	policy	NOUN
ajst-5049	137	13	was	be	AUX
ajst-5049	137	14	initially	initially	ADV
ajst-5049	137	15	effective	effective	ADJ
ajst-5049	137	16	,	,	PUNCT
ajst-5049	137	17	the	the	DET
ajst-5049	137	18	domestic	domestic	ADJ
ajst-5049	137	19	epidemic	epidemic	NOUN
ajst-5049	137	20	was	be	AUX
ajst-5049	137	21	effectively	effectively	ADV
ajst-5049	137	22	controlled	control	VERB
ajst-5049	137	23	,	,	PUNCT
ajst-5049	137	24	and	and	CCONJ
ajst-5049	137	25	traffic	traffic	NOUN
ajst-5049	137	26	control	control	NOUN
ajst-5049	137	27	was	be	AUX
ajst-5049	137	28	further	far	ADV
ajst-5049	137	29	liberalized	liberalize	VERB
ajst-5049	137	30	.	.	PUNCT
ajst-5049	138	1	at	at	ADP
ajst-5049	138	2	the	the	DET
ajst-5049	138	3	same	same	ADJ
ajst-5049	138	4	time	time	NOUN
ajst-5049	138	5	,	,	PUNCT
ajst-5049	138	6	with	with	ADP
ajst-5049	138	7	the	the	DET
ajst-5049	138	8	arrival	arrival	NOUN
ajst-5049	138	9	of	of	ADP
ajst-5049	138	10	the	the	DET
ajst-5049	138	11	students	student	NOUN
ajst-5049	138	12	'	'	PART
ajst-5049	138	13	summer	summer	NOUN
ajst-5049	138	14	vacation	vacation	NOUN
ajst-5049	138	15	,	,	PUNCT
ajst-5049	138	16	the	the	DET
ajst-5049	138	17	traffic	traffic	NOUN
ajst-5049	138	18	volume	volume	NOUN
ajst-5049	138	19	of	of	ADP
ajst-5049	138	20	the	the	DET
ajst-5049	138	21	binhai	binhai	NOUN
ajst-5049	138	22	airport	airport	NOUN
ajst-5049	138	23	also	also	ADV
ajst-5049	138	24	increased	increase	VERB
ajst-5049	138	25	significantly	significantly	ADV
ajst-5049	138	26	,	,	PUNCT
ajst-5049	138	27	and	and	CCONJ
ajst-5049	138	28	the	the	DET
ajst-5049	138	29	departure	departure	NOUN
ajst-5049	138	30	and	and	CCONJ
ajst-5049	138	31	arrival	arrival	NOUN
ajst-5049	138	32	volume	volume	NOUN
ajst-5049	138	33	returned	return	VERB
ajst-5049	138	34	to	to	ADP
ajst-5049	138	35	normal	normal	ADJ
ajst-5049	138	36	levels	level	NOUN
ajst-5049	138	37	.	.	PUNCT
ajst-5049	139	1	this	this	DET
ajst-5049	139	2	situation	situation	NOUN
ajst-5049	139	3	continued	continue	VERB
ajst-5049	139	4	until	until	ADP
ajst-5049	139	5	early	early	ADJ
ajst-5049	139	6	november	november	PROPN
ajst-5049	139	7	.	.	PUNCT
ajst-5049	140	1	from	from	ADP
ajst-5049	140	2	july	july	PROPN
ajst-5049	140	3	to	to	ADP
ajst-5049	140	4	november	november	PROPN
ajst-5049	140	5	,	,	PUNCT
ajst-5049	140	6	most	most	ADJ
ajst-5049	140	7	of	of	ADP
ajst-5049	140	8	the	the	DET
ajst-5049	140	9	dates	date	NOUN
ajst-5049	140	10	are	be	AUX
ajst-5049	140	11	similar	similar	ADJ
ajst-5049	140	12	days	day	NOUN
ajst-5049	140	13	in	in	ADP
ajst-5049	140	14	category	category	NOUN
ajst-5049	140	15	2	2	NUM
ajst-5049	140	16	.	.	PUNCT
ajst-5049	141	1	in	in	ADP
ajst-5049	141	2	mid	mid	PROPN
ajst-5049	141	3	-	-	PROPN
ajst-5049	141	4	november	november	PROPN
ajst-5049	141	5	2020	2020	NUM
ajst-5049	141	6	,	,	PUNCT
ajst-5049	141	7	in	in	ADP
ajst-5049	141	8	order	order	NOUN
ajst-5049	141	9	to	to	PART
ajst-5049	141	10	avoid	avoid	VERB
ajst-5049	141	11	the	the	DET
ajst-5049	141	12	possible	possible	ADJ
ajst-5049	141	13	spread	spread	NOUN
ajst-5049	141	14	of	of	ADP
ajst-5049	141	15	the	the	DET
ajst-5049	141	16	epidemic	epidemic	NOUN
ajst-5049	141	17	caused	cause	VERB
ajst-5049	141	18	by	by	ADP
ajst-5049	141	19	the	the	DET
ajst-5049	141	20	tide	tide	NOUN
ajst-5049	141	21	of	of	ADP
ajst-5049	141	22	returning	return	VERB
ajst-5049	141	23	home	home	NOUN
ajst-5049	141	24	,	,	PUNCT
ajst-5049	141	25	people	people	NOUN
ajst-5049	141	26	's	's	PART
ajst-5049	141	27	travel	travel	NOUN
ajst-5049	141	28	was	be	AUX
ajst-5049	141	29	once	once	ADV
ajst-5049	141	30	again	again	ADV
ajst-5049	141	31	limited	limit	VERB
ajst-5049	141	32	,	,	PUNCT
ajst-5049	141	33	and	and	CCONJ
ajst-5049	141	34	the	the	DET
ajst-5049	141	35	flow	flow	NOUN
ajst-5049	141	36	of	of	ADP
ajst-5049	141	37	binhai	binhai	NOUN
ajst-5049	141	38	airports	airport	NOUN
ajst-5049	141	39	was	be	AUX
ajst-5049	141	40	slightly	slightly	ADV
ajst-5049	141	41	reduced	reduce	VERB
ajst-5049	141	42	.	.	PUNCT
ajst-5049	142	1	from	from	ADP
ajst-5049	142	2	mid	mid	PROPN
ajst-5049	142	3	-	-	PROPN
ajst-5049	142	4	november	november	PROPN
ajst-5049	142	5	to	to	ADP
ajst-5049	142	6	the	the	DET
ajst-5049	142	7	end	end	NOUN
ajst-5049	142	8	of	of	ADP
ajst-5049	142	9	the	the	DET
ajst-5049	142	10	year	year	NOUN
ajst-5049	142	11	,	,	PUNCT
ajst-5049	142	12	it	it	PRON
ajst-5049	142	13	is	be	AUX
ajst-5049	142	14	a	a	DET
ajst-5049	142	15	category	category	NOUN
ajst-5049	142	16	three	three	NUM
ajst-5049	142	17	similar	similar	ADJ
ajst-5049	142	18	day	day	NOUN
ajst-5049	142	19	.	.	PUNCT
ajst-5049	143	1	from	from	ADP
ajst-5049	143	2	the	the	DET
ajst-5049	143	3	above	above	ADJ
ajst-5049	143	4	,	,	PUNCT
ajst-5049	143	5	category	category	NOUN
ajst-5049	143	6	3	3	NUM
ajst-5049	143	7	can	can	AUX
ajst-5049	143	8	be	be	AUX
ajst-5049	143	9	matched	match	VERB
ajst-5049	143	10	as	as	ADP
ajst-5049	143	11	the	the	DET
ajst-5049	143	12	similar	similar	ADJ
ajst-5049	143	13	day	day	NOUN
ajst-5049	143	14	of	of	ADP
ajst-5049	143	15	airport	airport	NOUN
ajst-5049	143	16	traffic	traffic	NOUN
ajst-5049	143	17	under	under	ADP
ajst-5049	143	18	the	the	DET
ajst-5049	143	19	normal	normal	ADJ
ajst-5049	143	20	control	control	NOUN
ajst-5049	143	21	policy	policy	NOUN
ajst-5049	143	22	of	of	ADP
ajst-5049	143	23	the	the	DET
ajst-5049	143	24	epidemic	epidemic	NOUN
ajst-5049	143	25	,	,	PUNCT
ajst-5049	143	26	category	category	NOUN
ajst-5049	143	27	2	2	NUM
ajst-5049	143	28	can	can	AUX
ajst-5049	143	29	be	be	AUX
ajst-5049	143	30	matched	match	VERB
ajst-5049	143	31	as	as	ADP
ajst-5049	143	32	the	the	DET
ajst-5049	143	33	similar	similar	ADJ
ajst-5049	143	34	day	day	NOUN
ajst-5049	143	35	of	of	ADP
ajst-5049	143	36	normal	normal	ADJ
ajst-5049	143	37	traffic	traffic	NOUN
ajst-5049	143	38	under	under	ADP
ajst-5049	143	39	the	the	DET
ajst-5049	143	40	condition	condition	NOUN
ajst-5049	143	41	of	of	ADP
ajst-5049	143	42	traffic	traffic	NOUN
ajst-5049	143	43	control	control	NOUN
ajst-5049	143	44	liberalization	liberalization	NOUN
ajst-5049	143	45	,	,	PUNCT
ajst-5049	143	46	and	and	CCONJ
ajst-5049	143	47	category	category	NOUN
ajst-5049	143	48	1	1	NUM
ajst-5049	143	49	can	can	AUX
ajst-5049	143	50	be	be	AUX
ajst-5049	143	51	matched	match	VERB
ajst-5049	143	52	as	as	ADP
ajst-5049	143	53	the	the	DET
ajst-5049	143	54	similar	similar	ADJ
ajst-5049	143	55	day	day	NOUN
ajst-5049	143	56	of	of	ADP
ajst-5049	143	57	low	low	ADJ
ajst-5049	143	58	traffic	traffic	NOUN
ajst-5049	143	59	under	under	ADP
ajst-5049	143	60	strict	strict	ADJ
ajst-5049	143	61	traffic	traffic	NOUN
ajst-5049	143	62	control	control	NOUN
ajst-5049	143	63	during	during	ADP
ajst-5049	143	64	the	the	DET
ajst-5049	143	65	epidemic	epidemic	NOUN
ajst-5049	143	66	.	.	PUNCT
ajst-5049	144	1	it	it	PRON
ajst-5049	144	2	can	can	AUX
ajst-5049	144	3	be	be	AUX
ajst-5049	144	4	seen	see	VERB
ajst-5049	144	5	that	that	SCONJ
ajst-5049	144	6	the	the	DET
ajst-5049	144	7	clustering	cluster	VERB
ajst-5049	144	8	model	model	NOUN
ajst-5049	144	9	of	of	ADP
ajst-5049	144	10	traffic	traffic	NOUN
ajst-5049	144	11	similar	similar	ADJ
ajst-5049	144	12	days	day	NOUN
ajst-5049	144	13	based	base	VERB
ajst-5049	144	14	on	on	ADP
ajst-5049	144	15	the	the	DET
ajst-5049	144	16	hi	hi	PROPN
ajst-5049	144	17	-	-	PUNCT
ajst-5049	144	18	k	k	NOUN
ajst-5049	144	19	-	-	PUNCT
ajst-5049	144	20	means	means	NOUN
ajst-5049	144	21	algorithm	algorithm	NOUN
ajst-5049	144	22	can	can	AUX
ajst-5049	144	23	accurately	accurately	ADV
ajst-5049	144	24	distinguish	distinguish	VERB
ajst-5049	144	25	airport	airport	NOUN
ajst-5049	144	26	traffic	traffic	NOUN
ajst-5049	144	27	under	under	ADP
ajst-5049	144	28	different	different	ADJ
ajst-5049	144	29	traffic	traffic	NOUN
ajst-5049	144	30	control	control	NOUN
ajst-5049	144	31	policies	policy	NOUN
ajst-5049	144	32	during	during	ADP
ajst-5049	144	33	the	the	DET
ajst-5049	144	34	epidemic	epidemic	NOUN
ajst-5049	144	35	.	.	PUNCT
ajst-5049	145	1	airport	airport	NOUN
ajst-5049	145	2	managers	manager	NOUN
ajst-5049	145	3	can	can	AUX
ajst-5049	145	4	match	match	VERB
ajst-5049	145	5	future	future	ADJ
ajst-5049	145	6	dates	date	NOUN
ajst-5049	145	7	with	with	ADP
ajst-5049	145	8	these	these	DET
ajst-5049	145	9	three	three	NUM
ajst-5049	145	10	similar	similar	ADJ
ajst-5049	145	11	days	day	NOUN
ajst-5049	145	12	and	and	CCONJ
ajst-5049	145	13	the	the	DET
ajst-5049	145	14	epidemic	epidemic	NOUN
ajst-5049	145	15	control	control	NOUN
ajst-5049	145	16	guidance	guidance	NOUN
ajst-5049	145	17	documents	document	NOUN
ajst-5049	145	18	issued	issue	VERB
ajst-5049	145	19	by	by	ADP
ajst-5049	145	20	their	their	PRON
ajst-5049	145	21	superiors	superior	NOUN
ajst-5049	145	22	,	,	PUNCT
ajst-5049	145	23	to	to	PART
ajst-5049	145	24	design	design	VERB
ajst-5049	145	25	three	three	NUM
ajst-5049	145	26	different	different	ADJ
ajst-5049	145	27	traffic	traffic	NOUN
ajst-5049	145	28	management	management	NOUN
ajst-5049	145	29	methods	method	NOUN
ajst-5049	145	30	to	to	PART
ajst-5049	145	31	deal	deal	VERB
ajst-5049	145	32	with	with	ADP
ajst-5049	145	33	the	the	DET
ajst-5049	145	34	management	management	NOUN
ajst-5049	145	35	of	of	ADP
ajst-5049	145	36	different	different	ADJ
ajst-5049	145	37	expected	expect	VERB
ajst-5049	145	38	traffic	traffic	NOUN
ajst-5049	145	39	conditions	condition	NOUN
ajst-5049	145	40	,	,	PUNCT
ajst-5049	145	41	so	so	SCONJ
ajst-5049	145	42	as	as	SCONJ
ajst-5049	145	43	to	to	PART
ajst-5049	145	44	achieve	achieve	VERB
ajst-5049	145	45	the	the	DET
ajst-5049	145	46	fullest	full	ADJ
ajst-5049	145	47	utilization	utilization	NOUN
ajst-5049	145	48	of	of	ADP
ajst-5049	145	49	airport	airport	NOUN
ajst-5049	145	50	human	human	ADJ
ajst-5049	145	51	and	and	CCONJ
ajst-5049	145	52	physical	physical	ADJ
ajst-5049	145	53	resources	resource	NOUN
ajst-5049	145	54	and	and	CCONJ
ajst-5049	145	55	avoid	avoid	VERB
ajst-5049	145	56	waste	waste	NOUN
ajst-5049	145	57	of	of	ADP
ajst-5049	145	58	resources	resource	NOUN
ajst-5049	145	59	.	.	PUNCT
ajst-5049	146	1	2	2	X
ajst-5049	146	2	)	)	PUNCT
ajst-5049	146	3	principal	principal	ADJ
ajst-5049	146	4	component	component	NOUN
ajst-5049	146	5	analysis	analysis	NOUN
ajst-5049	146	6	dimension	dimension	NOUN
ajst-5049	146	7	reduction	reduction	NOUN
ajst-5049	146	8	:	:	PUNCT
ajst-5049	146	9	in	in	ADP
ajst-5049	146	10	order	order	NOUN
ajst-5049	146	11	to	to	PART
ajst-5049	146	12	more	more	ADV
ajst-5049	146	13	intuitively	intuitively	ADV
ajst-5049	146	14	verify	verify	VERB
ajst-5049	146	15	the	the	DET
ajst-5049	146	16	accuracy	accuracy	NOUN
ajst-5049	146	17	of	of	ADP
ajst-5049	146	18	the	the	DET
ajst-5049	146	19	hi	hi	NOUN
ajst-5049	146	20	-	-	PUNCT
ajst-5049	146	21	kmeans	kmean	NOUN
ajst-5049	146	22	clustering	cluster	VERB
ajst-5049	146	23	results	result	NOUN
ajst-5049	146	24	,	,	PUNCT
ajst-5049	146	25	the	the	DET
ajst-5049	146	26	principal	principal	ADJ
ajst-5049	146	27	component	component	NOUN
ajst-5049	146	28	analysis	analysis	NOUN
ajst-5049	146	29	is	be	AUX
ajst-5049	146	30	used	use	VERB
ajst-5049	146	31	to	to	PART
ajst-5049	146	32	reduce	reduce	VERB
ajst-5049	146	33	the	the	DET
ajst-5049	146	34	7	7	NUM
ajst-5049	146	35	-	-	PUNCT
ajst-5049	146	36	dimensional	dimensional	ADJ
ajst-5049	146	37	data	datum	NOUN
ajst-5049	146	38	used	use	VERB
ajst-5049	146	39	in	in	ADP
ajst-5049	146	40	the	the	DET
ajst-5049	146	41	clustering	clustering	NOUN
ajst-5049	146	42	to	to	ADP
ajst-5049	146	43	2	2	NUM
ajst-5049	146	44	-	-	PUNCT
ajst-5049	146	45	dimensional	dimensional	ADJ
ajst-5049	146	46	,	,	PUNCT
ajst-5049	146	47	and	and	CCONJ
ajst-5049	146	48	a	a	DET
ajst-5049	146	49	scatter	scatter	NOUN
ajst-5049	146	50	plot	plot	NOUN
ajst-5049	146	51	is	be	AUX
ajst-5049	146	52	drawn	draw	VERB
ajst-5049	146	53	on	on	ADP
ajst-5049	146	54	the	the	DET
ajst-5049	146	55	plan	plan	NOUN
ajst-5049	146	56	to	to	PART
ajst-5049	146	57	show	show	VERB
ajst-5049	146	58	the	the	DET
ajst-5049	146	59	clustering	cluster	VERB
ajst-5049	146	60	results	result	NOUN
ajst-5049	146	61	,	,	PUNCT
ajst-5049	146	62	as	as	SCONJ
ajst-5049	146	63	shown	show	VERB
ajst-5049	146	64	in	in	ADP
ajst-5049	146	65	figure	figure	NOUN
ajst-5049	146	66	8	8	NUM
ajst-5049	146	67	below	below	ADV
ajst-5049	146	68	.	.	PUNCT
ajst-5049	147	1	figure	figure	NOUN
ajst-5049	147	2	8	8	NUM
ajst-5049	147	3	.	.	PUNCT
ajst-5049	148	1	clustering	cluster	VERB
ajst-5049	148	2	results	result	NOUN
ajst-5049	148	3	pca	pca	PROPN
ajst-5049	148	4	dimension	dimension	NOUN
ajst-5049	148	5	reduction	reduction	NOUN
ajst-5049	148	6	display	display	NOUN
ajst-5049	148	7	in	in	ADP
ajst-5049	148	8	the	the	DET
ajst-5049	148	9	figure	figure	NOUN
ajst-5049	148	10	,	,	PUNCT
ajst-5049	148	11	pc1	pc1	PROPN
ajst-5049	148	12	represents	represent	VERB
ajst-5049	148	13	the	the	DET
ajst-5049	148	14	first	first	ADJ
ajst-5049	148	15	principal	principal	ADJ
ajst-5049	148	16	component	component	NOUN
ajst-5049	148	17	and	and	CCONJ
ajst-5049	148	18	pc2	pc2	NOUN
ajst-5049	148	19	represents	represent	VERB
ajst-5049	148	20	the	the	DET
ajst-5049	148	21	second	second	ADJ
ajst-5049	148	22	principal	principal	ADJ
ajst-5049	148	23	component	component	NOUN
ajst-5049	148	24	.	.	PUNCT
ajst-5049	149	1	it	it	PRON
ajst-5049	149	2	can	can	AUX
ajst-5049	149	3	be	be	AUX
ajst-5049	149	4	intuitively	intuitively	ADV
ajst-5049	149	5	seen	see	VERB
ajst-5049	149	6	that	that	SCONJ
ajst-5049	149	7	similar	similar	ADJ
ajst-5049	149	8	samples	sample	NOUN
ajst-5049	149	9	are	be	AUX
ajst-5049	149	10	clustered	cluster	VERB
ajst-5049	149	11	into	into	ADP
ajst-5049	149	12	one	one	NUM
ajst-5049	149	13	category	category	NOUN
ajst-5049	149	14	,	,	PUNCT
ajst-5049	149	15	and	and	CCONJ
ajst-5049	149	16	the	the	DET
ajst-5049	149	17	clustering	clustering	ADJ
ajst-5049	149	18	results	result	NOUN
ajst-5049	149	19	are	be	AUX
ajst-5049	149	20	ideal	ideal	ADJ
ajst-5049	149	21	.	.	PUNCT
ajst-5049	150	1	6	6	X
ajst-5049	150	2	.	.	X
ajst-5049	150	3	conclusion	conclusion	NOUN
ajst-5049	150	4	taking	take	VERB
ajst-5049	150	5	tianjin	tianjin	PROPN
ajst-5049	150	6	binhai	binhai	PROPN
ajst-5049	150	7	airport	airport	PROPN
ajst-5049	150	8	as	as	ADP
ajst-5049	150	9	an	an	DET
ajst-5049	150	10	example	example	NOUN
ajst-5049	150	11	,	,	PUNCT
ajst-5049	150	12	this	this	DET
ajst-5049	150	13	paper	paper	NOUN
ajst-5049	150	14	processes	process	VERB
ajst-5049	150	15	its	its	PRON
ajst-5049	150	16	flight	flight	NOUN
ajst-5049	150	17	plan	plan	NOUN
ajst-5049	150	18	data	datum	NOUN
ajst-5049	150	19	in	in	ADP
ajst-5049	150	20	2020	2020	NUM
ajst-5049	150	21	to	to	PART
ajst-5049	150	22	obtain	obtain	VERB
ajst-5049	150	23	7	7	NUM
ajst-5049	150	24	-	-	PUNCT
ajst-5049	150	25	dimensional	dimensional	ADJ
ajst-5049	150	26	traffic	traffic	NOUN
ajst-5049	150	27	characteristic	characteristic	ADJ
ajst-5049	150	28	indicators	indicator	NOUN
ajst-5049	150	29	for	for	ADP
ajst-5049	150	30	calculation	calculation	NOUN
ajst-5049	150	31	.	.	PUNCT
ajst-5049	151	1	then	then	ADV
ajst-5049	151	2	,	,	PUNCT
ajst-5049	151	3	a	a	DET
ajst-5049	151	4	clustering	clustering	ADJ
ajst-5049	151	5	model	model	NOUN
ajst-5049	151	6	of	of	ADP
ajst-5049	151	7	traffic	traffic	NOUN
ajst-5049	151	8	similar	similar	ADJ
ajst-5049	151	9	days	day	NOUN
ajst-5049	151	10	based	base	VERB
ajst-5049	151	11	on	on	ADP
ajst-5049	151	12	hi	hi	PROPN
ajst-5049	151	13	-	-	PUNCT
ajst-5049	151	14	k	k	NOUN
ajst-5049	151	15	-	-	PUNCT
ajst-5049	151	16	means	means	NOUN
ajst-5049	151	17	algorithm	algorithm	NOUN
ajst-5049	151	18	is	be	AUX
ajst-5049	151	19	proposed	propose	VERB
ajst-5049	151	20	.	.	PUNCT
ajst-5049	152	1	the	the	DET
ajst-5049	152	2	model	model	NOUN
ajst-5049	152	3	is	be	AUX
ajst-5049	152	4	used	use	VERB
ajst-5049	152	5	to	to	PART
ajst-5049	152	6	cluster	cluster	VERB
ajst-5049	152	7	the	the	DET
ajst-5049	152	8	data	datum	NOUN
ajst-5049	152	9	of	of	ADP
ajst-5049	152	10	traffic	traffic	NOUN
ajst-5049	152	11	characteristic	characteristic	ADJ
ajst-5049	152	12	indicators	indicator	NOUN
ajst-5049	152	13	,	,	PUNCT
ajst-5049	152	14	and	and	CCONJ
ajst-5049	152	15	then	then	ADV
ajst-5049	152	16	three	three	NUM
ajst-5049	152	17	types	type	NOUN
ajst-5049	152	18	of	of	ADP
ajst-5049	152	19	traffic	traffic	NOUN
ajst-5049	152	20	similar	similar	ADJ
ajst-5049	152	21	days	day	NOUN
ajst-5049	152	22	are	be	AUX
ajst-5049	152	23	obtained	obtain	VERB
ajst-5049	152	24	.	.	PUNCT
ajst-5049	153	1	after	after	ADP
ajst-5049	153	2	drawing	draw	VERB
ajst-5049	153	3	the	the	DET
ajst-5049	153	4	distribution	distribution	NOUN
ajst-5049	153	5	of	of	ADP
ajst-5049	153	6	similar	similar	ADJ
ajst-5049	153	7	days	day	NOUN
ajst-5049	153	8	,	,	PUNCT
ajst-5049	153	9	it	it	PRON
ajst-5049	153	10	is	be	AUX
ajst-5049	153	11	found	find	VERB
ajst-5049	153	12	that	that	SCONJ
ajst-5049	153	13	the	the	DET
ajst-5049	153	14	clustering	clustering	NOUN
ajst-5049	153	15	results	result	NOUN
ajst-5049	153	16	can	can	AUX
ajst-5049	153	17	better	well	ADV
ajst-5049	153	18	match	match	VERB
ajst-5049	153	19	the	the	DET
ajst-5049	153	20	daily	daily	ADJ
ajst-5049	153	21	traffic	traffic	NOUN
ajst-5049	153	22	under	under	ADP
ajst-5049	153	23	different	different	ADJ
ajst-5049	153	24	policies	policy	NOUN
ajst-5049	153	25	,	,	PUNCT
ajst-5049	153	26	which	which	PRON
ajst-5049	153	27	proves	prove	VERB
ajst-5049	153	28	the	the	DET
ajst-5049	153	29	effectiveness	effectiveness	NOUN
ajst-5049	153	30	of	of	ADP
ajst-5049	153	31	the	the	DET
ajst-5049	153	32	model	model	NOUN
ajst-5049	153	33	.	.	PUNCT
ajst-5049	154	1	finally	finally	ADV
ajst-5049	154	2	,	,	PUNCT
ajst-5049	154	3	the	the	DET
ajst-5049	154	4	clustering	clustering	ADJ
ajst-5049	154	5	results	result	NOUN
ajst-5049	154	6	are	be	AUX
ajst-5049	154	7	visualized	visualize	VERB
ajst-5049	154	8	by	by	ADP
ajst-5049	154	9	principal	principal	ADJ
ajst-5049	154	10	component	component	NOUN
ajst-5049	154	11	analysis	analysis	NOUN
ajst-5049	154	12	,	,	PUNCT
ajst-5049	154	13	which	which	PRON
ajst-5049	154	14	proves	prove	VERB
ajst-5049	154	15	the	the	DET
ajst-5049	154	16	accuracy	accuracy	NOUN
ajst-5049	154	17	of	of	ADP
ajst-5049	154	18	the	the	DET
ajst-5049	154	19	model	model	NOUN
ajst-5049	154	20	.	.	PUNCT
ajst-5049	155	1	acknowledgment	acknowledgment	NOUN
ajst-5049	155	2	china	china	PROPN
ajst-5049	155	3	civil	civil	PROPN
ajst-5049	155	4	aviation	aviation	PROPN
ajst-5049	155	5	north	north	PROPN
ajst-5049	155	6	china	china	PROPN
ajst-5049	155	7	air	air	PROPN
ajst-5049	155	8	traffic	traffic	PROPN
ajst-5049	155	9	administration	administration	PROPN
ajst-5049	155	10	science	science	NOUN
ajst-5049	155	11	and	and	CCONJ
ajst-5049	155	12	technology	technology	NOUN
ajst-5049	155	13	project	project	NOUN
ajst-5049	155	14	(	(	PUNCT
ajst-5049	155	15	201904,202002	201904,202002	NOUN
ajst-5049	155	16	)	)	PUNCT
ajst-5049	155	17	references	reference	NOUN
ajst-5049	155	18	[	[	X
ajst-5049	155	19	1	1	NUM
ajst-5049	155	20	]	]	X
ajst-5049	155	21	xiong	xiong	PROPN
ajst-5049	155	22	ting	ting	PROPN
ajst-5049	155	23	.	.	PUNCT
ajst-5049	156	1	research	research	NOUN
ajst-5049	156	2	on	on	ADP
ajst-5049	156	3	evaluation	evaluation	NOUN
ajst-5049	156	4	indicator	indicator	NOUN
ajst-5049	156	5	system	system	NOUN
ajst-5049	156	6	of	of	ADP
ajst-5049	156	7	airspace	airspace	NOUN
ajst-5049	156	8	design	design	NOUN
ajst-5049	156	9	and	and	CCONJ
ajst-5049	156	10	operation	operation	NOUN
ajst-5049	156	11	in	in	ADP
ajst-5049	156	12	terminal[d	terminal[d	NOUN
ajst-5049	156	13	]	]	PUNCT
ajst-5049	156	14	.	.	PUNCT
ajst-5049	157	1	nanjing	nanjing	PROPN
ajst-5049	157	2	:	:	PUNCT
ajst-5049	157	3	nanjing	nanjing	PROPN
ajst-5049	157	4	university	university	PROPN
ajst-5049	157	5	of	of	ADP
ajst-5049	157	6	aeronautics	aeronautic	NOUN
ajst-5049	157	7	and	and	CCONJ
ajst-5049	157	8	astronautics	astronautic	NOUN
ajst-5049	157	9	,	,	PUNCT
ajst-5049	157	10	2020	2020	NUM
ajst-5049	157	11	.	.	PUNCT
ajst-5049	158	1	[	[	X
ajst-5049	158	2	2	2	X
ajst-5049	158	3	]	]	PUNCT
ajst-5049	158	4	tirachini	tirachini	VERB
ajst-5049	158	5	a	a	PRON
ajst-5049	158	6	,	,	PUNCT
ajst-5049	158	7	cats	cat	NOUN
ajst-5049	158	8	o.	o.	PROPN
ajst-5049	158	9	covid-19	covid-19	PROPN
ajst-5049	158	10	and	and	CCONJ
ajst-5049	158	11	public	public	ADJ
ajst-5049	158	12	transportation	transportation	NOUN
ajst-5049	158	13	:	:	PUNCT
ajst-5049	158	14	current	current	ADJ
ajst-5049	158	15	assessment	assessment	NOUN
ajst-5049	158	16	,	,	PUNCT
ajst-5049	158	17	prospects	prospect	NOUN
ajst-5049	158	18	,	,	PUNCT
ajst-5049	158	19	and	and	CCONJ
ajst-5049	158	20	research	research	NOUN
ajst-5049	158	21	needs[j	needs[j	PROPN
ajst-5049	158	22	]	]	PUNCT
ajst-5049	158	23	.	.	PUNCT
ajst-5049	159	1	journal	journal	PROPN
ajst-5049	159	2	of	of	ADP
ajst-5049	159	3	public	public	ADJ
ajst-5049	159	4	transportation	transportation	NOUN
ajst-5049	159	5	,	,	PUNCT
ajst-5049	159	6	2020,22(1):1	2020,22(1):1	NUM
ajst-5049	159	7	-	-	SYM
ajst-5049	159	8	21	21	NUM
ajst-5049	159	9	.	.	PUNCT
ajst-5049	160	1	[	[	X
ajst-5049	160	2	3	3	NUM
ajst-5049	160	3	]	]	PUNCT
ajst-5049	160	4	loske	loske	PROPN
ajst-5049	160	5	d.	d.	PROPN
ajst-5049	160	6	the	the	DET
ajst-5049	160	7	impact	impact	NOUN
ajst-5049	160	8	of	of	ADP
ajst-5049	160	9	covid-19	covid-19	PROPN
ajst-5049	160	10	on	on	ADP
ajst-5049	160	11	transport	transport	NOUN
ajst-5049	160	12	volume	volume	NOUN
ajst-5049	160	13	and	and	CCONJ
ajst-5049	160	14	freight	freight	NOUN
ajst-5049	160	15	capacity	capacity	NOUN
ajst-5049	160	16	dynamics	dynamic	NOUN
ajst-5049	160	17	:	:	PUNCT
ajst-5049	160	18	an	an	DET
ajst-5049	160	19	empirical	empirical	ADJ
ajst-5049	160	20	analysis	analysis	NOUN
ajst-5049	160	21	in	in	ADP
ajst-5049	160	22	german	german	ADJ
ajst-5049	160	23	food	food	NOUN
ajst-5049	160	24	retail	retail	NOUN
ajst-5049	160	25	logistics[j	logistics[j	PROPN
ajst-5049	160	26	]	]	PUNCT
ajst-5049	160	27	.	.	PUNCT
ajst-5049	161	1	transportation	transportation	NOUN
ajst-5049	161	2	research	research	NOUN
ajst-5049	161	3	interdisciplinary	interdisciplinary	ADJ
ajst-5049	161	4	perspectives	perspective	NOUN
ajst-5049	161	5	,	,	PUNCT
ajst-5049	161	6	2020,6(1):1	2020,6(1):1	NOUN
ajst-5049	161	7	-	-	SYM
ajst-5049	161	8	6	6	NUM
ajst-5049	161	9	.	.	PUNCT
ajst-5049	162	1	[	[	X
ajst-5049	162	2	4	4	X
ajst-5049	162	3	]	]	PUNCT
ajst-5049	162	4	wang	wang	PROPN
ajst-5049	162	5	p	p	PROPN
ajst-5049	162	6	f	f	PROPN
ajst-5049	162	7	,	,	PUNCT
ajst-5049	162	8	chen	chen	PROPN
ajst-5049	162	9	k	k	PROPN
ajst-5049	162	10	y	y	PROPN
ajst-5049	162	11	,	,	PUNCT
ajst-5049	162	12	zhu	zhu	PROPN
ajst-5049	162	13	s	s	PART
ajst-5049	162	14	q	q	NOUN
ajst-5049	162	15	,	,	PUNCT
ajst-5049	162	16	et	et	PROPN
ajst-5049	162	17	al	al	PROPN
ajst-5049	162	18	.	.	PROPN
ajst-5049	163	1	severe	severe	ADJ
ajst-5049	163	2	air	air	NOUN
ajst-5049	163	3	pollution	pollution	NOUN
ajst-5049	163	4	events	event	NOUN
ajst-5049	163	5	not	not	PART
ajst-5049	163	6	avoided	avoid	VERB
ajst-5049	163	7	by	by	ADP
ajst-5049	163	8	reduced	reduce	VERB
ajst-5049	163	9	anthropogenic	anthropogenic	ADJ
ajst-5049	163	10	activities	activity	NOUN
ajst-5049	163	11	during	during	ADP
ajst-5049	163	12	covid-19	covid-19	PROPN
ajst-5049	163	13	outbreak[j	outbreak[j	PROPN
ajst-5049	163	14	]	]	PUNCT
ajst-5049	163	15	.	.	PUNCT
ajst-5049	164	1	resources	resource	NOUN
ajst-5049	164	2	,	,	PUNCT
ajst-5049	164	3	conservation	conservation	NOUN
ajst-5049	164	4	and	and	CCONJ
ajst-5049	164	5	recycling	recycling	NOUN
ajst-5049	164	6	,	,	PUNCT
ajst-5049	164	7	2020,158(3):1	2020,158(3):1	NUM
ajst-5049	164	8	-	-	SYM
ajst-5049	164	9	9	9	NUM
ajst-5049	164	10	.	.	PUNCT
ajst-5049	165	1	[	[	X
ajst-5049	165	2	5	5	NUM
ajst-5049	165	3	]	]	SYM
ajst-5049	165	4	yen	yen	NOUN
ajst-5049	165	5	m	m	PROPN
ajst-5049	165	6	y	y	PROPN
ajst-5049	165	7	,	,	PUNCT
ajst-5049	165	8	schwartz	schwartz	PROPN
ajst-5049	165	9	j	j	PROPN
ajst-5049	165	10	,	,	PUNCT
ajst-5049	165	11	chen	chen	PROPN
ajst-5049	165	12	s	s	PROPN
ajst-5049	165	13	y	y	PROPN
ajst-5049	165	14	,	,	PUNCT
ajst-5049	165	15	et	et	PROPN
ajst-5049	165	16	al	al	PROPN
ajst-5049	165	17	.	.	PUNCT
ajst-5049	165	18	interrupting	interrupt	VERB
ajst-5049	165	19	covid-19	covid-19	PROPN
ajst-5049	165	20	transmission	transmission	NOUN
ajst-5049	165	21	by	by	ADP
ajst-5049	165	22	implementing	implement	VERB
ajst-5049	165	23	enhanced	enhance	VERB
ajst-5049	165	24	traffic	traffic	NOUN
ajst-5049	165	25	control	control	NOUN
ajst-5049	165	26	bundling	bundle	VERB
ajst-5049	165	27	:	:	PUNCT
ajst-5049	165	28	implications	implication	NOUN
ajst-5049	165	29	for	for	ADP
ajst-5049	165	30	global	global	ADJ
ajst-5049	165	31	prevention	prevention	NOUN
ajst-5049	165	32	and	and	CCONJ
ajst-5049	165	33	control	control	NOUN
ajst-5049	165	34	efforts[j	efforts[j	PROPN
ajst-5049	165	35	]	]	PUNCT
ajst-5049	165	36	.	.	PUNCT
ajst-5049	166	1	journal	journal	PROPN
ajst-5049	166	2	of	of	ADP
ajst-5049	166	3	microbiology	microbiology	NOUN
ajst-5049	166	4	,	,	PUNCT
ajst-5049	166	5	immunology	immunology	NOUN
ajst-5049	166	6	and	and	CCONJ
ajst-5049	166	7	infection	infection	NOUN
ajst-5049	166	8	,	,	PUNCT
ajst-5049	166	9	2020,53(3):377	2020,53(3):377	NOUN
ajst-5049	166	10	-	-	SYM
ajst-5049	166	11	380	380	NUM
ajst-5049	166	12	.	.	PUNCT
ajst-5049	166	13	161	161	NUM
ajst-5049	167	1	[	[	SYM
ajst-5049	167	2	6	6	NUM
ajst-5049	167	3	]	]	X
ajst-5049	167	4	kuhb	kuhb	PROPN
ajst-5049	167	5	k	k	PROPN
ajst-5049	167	6	d.	d.	PROPN
ajst-5049	167	7	a	a	DET
ajst-5049	167	8	methodology	methodology	NOUN
ajst-5049	167	9	for	for	ADP
ajst-5049	167	10	identifying	identify	VERB
ajst-5049	167	11	similar	similar	ADJ
ajst-5049	167	12	days	day	NOUN
ajst-5049	167	13	in	in	ADP
ajst-5049	167	14	air	air	NOUN
ajst-5049	167	15	traffic	traffic	NOUN
ajst-5049	167	16	flow	flow	NOUN
ajst-5049	167	17	management	management	NOUN
ajst-5049	167	18	initiative	initiative	NOUN
ajst-5049	167	19	planning[j	planning[j	NOUN
ajst-5049	167	20	]	]	PUNCT
ajst-5049	167	21	.	.	PUNCT
ajst-5049	168	1	transportation	transportation	NOUN
ajst-5049	168	2	research	research	NOUN
ajst-5049	168	3	part	part	NOUN
ajst-5049	168	4	c	c	NOUN
ajst-5049	168	5	:	:	PUNCT
ajst-5049	168	6	emerging	emerge	VERB
ajst-5049	168	7	technologies	technology	NOUN
ajst-5049	168	8	,	,	PUNCT
ajst-5049	168	9	2016,69:1	2016,69:1	NOUN
ajst-5049	168	10	-	-	SYM
ajst-5049	168	11	15	15	NUM
ajst-5049	168	12	.	.	PUNCT
ajst-5049	169	1	[	[	X
ajst-5049	169	2	7	7	NUM
ajst-5049	169	3	]	]	X
ajst-5049	169	4	kuhn	kuhn	PROPN
ajst-5049	169	5	k	k	PROPN
ajst-5049	169	6	,	,	PUNCT
ajst-5049	169	7	shah	shah	PROPN
ajst-5049	169	8	a	a	NOUN
ajst-5049	169	9	,	,	PUNCT
ajst-5049	169	10	skeels	skeel	NOUN
ajst-5049	169	11	c	c	NOUN
ajst-5049	169	12	,	,	PUNCT
ajst-5049	169	13	et	et	PROPN
ajst-5049	169	14	al	al	PROPN
ajst-5049	169	15	.	.	PROPN
ajst-5049	170	1	characterizing	characterize	VERB
ajst-5049	170	2	and	and	CCONJ
ajst-5049	170	3	classifying	classify	VERB
ajst-5049	170	4	historical	historical	ADJ
ajst-5049	170	5	days	day	NOUN
ajst-5049	170	6	based	base	VERB
ajst-5049	170	7	on	on	ADP
ajst-5049	170	8	weather	weather	NOUN
ajst-5049	170	9	and	and	CCONJ
ajst-5049	170	10	airtraffic[c]//ieee	airtraffic[c]//ieee	PROPN
ajst-5049	170	11	.	.	NOUN
ajst-5049	170	12	2015	2015	NUM
ajst-5049	170	13	ieee	ieee	NOUN
ajst-5049	170	14	/	/	SYM
ajst-5049	170	15	aiaa	aiaa	PROPN
ajst-5049	170	16	34th	34th	ADJ
ajst-5049	170	17	digital	digital	ADJ
ajst-5049	170	18	avionics	avionic	NOUN
ajst-5049	170	19	systems	system	NOUN
ajst-5049	170	20	conference(dasc	conference(dasc	PROPN
ajst-5049	170	21	)	)	PUNCT
ajst-5049	170	22	.	.	PUNCT
ajst-5049	171	1	prague	prague	PROPN
ajst-5049	171	2	,	,	PUNCT
ajst-5049	171	3	czech	czech	PROPN
ajst-5049	171	4	republic	republic	NOUN
ajst-5049	171	5	:	:	PUNCT
ajst-5049	171	6	ieee	ieee	NOUN
ajst-5049	171	7	,	,	PUNCT
ajst-5049	171	8	2015	2015	NUM
ajst-5049	171	9	:	:	PUNCT
ajst-5049	171	10	1c3	1c3	NUM
ajst-5049	171	11	-	-	SYM
ajst-5049	171	12	1	1	NUM
ajst-5049	171	13	-	-	PUNCT
ajst-5049	171	14	1c3	1c3	NUM
ajst-5049	171	15	-	-	SYM
ajst-5049	171	16	12	12	NUM
ajst-5049	171	17	.	.	PUNCT
ajst-5049	172	1	[	[	X
ajst-5049	172	2	8	8	NUM
ajst-5049	172	3	]	]	X
ajst-5049	172	4	fang	fang	X
ajst-5049	172	5	ka	ka	PROPN
ajst-5049	172	6	-	-	PUNCT
ajst-5049	172	7	tai	tai	PROPN
ajst-5049	172	8	.	.	PUNCT
ajst-5049	172	9	cluster	cluster	NOUN
ajst-5049	172	10	analysis(i)[j	analysis(i)[j	PROPN
ajst-5049	172	11	]	]	PUNCT
ajst-5049	172	12	.	.	PUNCT
ajst-5049	173	1	mathematics	mathematic	NOUN
ajst-5049	173	2	in	in	ADP
ajst-5049	173	3	practice	practice	NOUN
ajst-5049	173	4	and	and	CCONJ
ajst-5049	173	5	theory	theory	NOUN
ajst-5049	173	6	,	,	PUNCT
ajst-5049	173	7	1978	1978	NUM
ajst-5049	173	8	,	,	PUNCT
ajst-5049	173	9	01:66	01:66	NUM
ajst-5049	173	10	-	-	SYM
ajst-5049	173	11	80	80	NUM
ajst-5049	173	12	.	.	PUNCT
ajst-5049	174	1	[	[	X
ajst-5049	174	2	9	9	NUM
ajst-5049	174	3	]	]	X
ajst-5049	174	4	grabbe	grabbe	NOUN
ajst-5049	174	5	s	s	PART
ajst-5049	174	6	,	,	PUNCT
ajst-5049	174	7	sridhar	sridhar	NOUN
ajst-5049	174	8	b	b	NUM
ajst-5049	174	9	,	,	PUNCT
ajst-5049	174	10	mukherjee	mukherjee	PROPN
ajst-5049	174	11	a.	a.	NOUN
ajst-5049	174	12	clustering	clustering	NOUN
ajst-5049	174	13	days	day	NOUN
ajst-5049	174	14	and	and	CCONJ
ajst-5049	174	15	hours	hour	NOUN
ajst-5049	174	16	with	with	ADP
ajst-5049	174	17	similar	similar	ADJ
ajst-5049	174	18	airport	airport	NOUN
ajst-5049	174	19	traffic	traffic	NOUN
ajst-5049	174	20	and	and	CCONJ
ajst-5049	174	21	weather	weather	NOUN
ajst-5049	174	22	conditions[c]//aiaa	conditions[c]//aiaa	PROPN
ajst-5049	174	23	.	.	PUNCT
ajst-5049	175	1	14th	14th	ADJ
ajst-5049	175	2	aiaa	aiaa	PROPN
ajst-5049	175	3	aviation	aviation	NOUN
ajst-5049	175	4	technology	technology	NOUN
ajst-5049	175	5	,	,	PUNCT
ajst-5049	175	6	integration	integration	NOUN
ajst-5049	175	7	,	,	PUNCT
ajst-5049	175	8	and	and	CCONJ
ajst-5049	175	9	operations	operation	NOUN
ajst-5049	175	10	conference	conference	NOUN
ajst-5049	175	11	.	.	PUNCT
ajst-5049	176	1	reston	reston	PROPN
ajst-5049	176	2	,	,	PUNCT
ajst-5049	176	3	va	va	NOUN
ajst-5049	176	4	:	:	PUNCT
ajst-5049	176	5	aiaa	aiaa	ADJ
ajst-5049	176	6	,	,	PUNCT
ajst-5049	176	7	2014:751	2014:751	NOUN
ajst-5049	176	8	-	-	SYM
ajst-5049	176	9	763	763	NUM
ajst-5049	176	10	.	.	PUNCT
ajst-5049	177	1	[	[	X
ajst-5049	177	2	10	10	NUM
ajst-5049	177	3	]	]	X
ajst-5049	177	4	shang	shang	PROPN
ajst-5049	177	5	ran	run	VERB
ajst-5049	177	6	-	-	PUNCT
ajst-5049	177	7	ran	ran	NOUN
ajst-5049	177	8	.	.	PUNCT
ajst-5049	178	1	research	research	NOUN
ajst-5049	178	2	on	on	ADP
ajst-5049	178	3	short	short	ADJ
ajst-5049	178	4	-	-	PUNCT
ajst-5049	178	5	term	term	NOUN
ajst-5049	178	6	traffic	traffic	NOUN
ajst-5049	178	7	flow	flow	NOUN
ajst-5049	178	8	prediction	prediction	NOUN
ajst-5049	178	9	technology	technology	NOUN
ajst-5049	178	10	in	in	ADP
ajst-5049	178	11	terminal	terminal	ADJ
ajst-5049	178	12	area	area	NOUN
ajst-5049	178	13	based	base	VERB
ajst-5049	178	14	on	on	ADP
ajst-5049	178	15	data	data	PROPN
ajst-5049	178	16	mining[d	mining[d	PROPN
ajst-5049	178	17	]	]	PUNCT
ajst-5049	178	18	.	.	PUNCT
ajst-5049	179	1	hebei	hebei	PROPN
ajst-5049	179	2	:	:	PUNCT
ajst-5049	179	3	north	north	PROPN
ajst-5049	179	4	china	china	PROPN
ajst-5049	179	5	university	university	PROPN
ajst-5049	179	6	of	of	ADP
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ajst-5049	179	8	and	and	CCONJ
ajst-5049	179	9	technology	technology	NOUN
ajst-5049	179	10	,	,	PUNCT
ajst-5049	179	11	2021	2021	NUM
ajst-5049	179	12	.	.	PUNCT
ajst-5049	180	1	[	[	X
ajst-5049	180	2	11	11	NUM
ajst-5049	180	3	]	]	X
ajst-5049	180	4	rao	rao	PROPN
ajst-5049	180	5	dan	dan	PROPN
ajst-5049	180	6	,	,	PUNCT
ajst-5049	180	7	shi	shi	PROPN
ajst-5049	180	8	hong	hong	PROPN
ajst-5049	180	9	-	-	PUNCT
ajst-5049	180	10	wei	wei	PROPN
ajst-5049	180	11	.	.	PUNCT
ajst-5049	180	12	study	study	NOUN
ajst-5049	180	13	on	on	ADP
ajst-5049	180	14	air	air	NOUN
ajst-5049	180	15	traffic	traffic	NOUN
ajst-5049	180	16	flow	flow	NOUN
ajst-5049	180	17	recognition	recognition	NOUN
ajst-5049	180	18	and	and	CCONJ
ajst-5049	180	19	anomaly	anomaly	NOUN
ajst-5049	180	20	detection	detection	NOUN
ajst-5049	180	21	based	base	VERB
ajst-5049	180	22	on	on	ADP
ajst-5049	180	23	deep	deep	ADJ
ajst-5049	180	24	clustering	clustering	NOUN
ajst-5049	180	25	[	[	X
ajst-5049	180	26	12	12	NUM
ajst-5049	180	27	]	]	X
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ajst-5049	180	32	rafal	rafal	PROPN
ajst-5049	180	33	k	k	PROPN
ajst-5049	180	34	,	,	PUNCT
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ajst-5049	180	36	m	m	PROPN
ajst-5049	180	37	s	s	PROPN
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ajst-5049	180	41	.	.	PUNCT
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ajst-5049	181	2	weather	weather	NOUN
ajst-5049	181	3	translation	translation	NOUN
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ajst-5049	181	7	to	to	PART
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ajst-5049	181	9	similar	similar	ADJ
ajst-5049	181	10	weather	weather	NOUN
ajst-5049	181	11	impact	impact	NOUN
ajst-5049	181	12	days[c]//arc	days[c]//arc	PROPN
ajst-5049	181	13	.	.	PUNCT
ajst-5049	182	1	aaia	aaia	PROPN
ajst-5049	182	2	guidance	guidance	PROPN
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ajst-5049	182	5	,	,	PUNCT
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ajst-5049	182	8	conference	conference	NOUN
ajst-5049	182	9	.	.	PUNCT
ajst-5049	183	1	published	publish	VERB
ajst-5049	183	2	online	online	ADV
ajst-5049	183	3	:	:	PUNCT
ajst-5049	183	4	arc	arc	NOUN
ajst-5049	183	5	,	,	PUNCT
ajst-5049	183	6	2017	2017	NUM
ajst-5049	183	7	:	:	PUNCT
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ajst-5049	184	2	.	.	PUNCT
ajst-5049	185	1	[	[	X
ajst-5049	185	2	13	13	NUM
ajst-5049	185	3	]	]	X
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ajst-5049	185	5	le	le	PROPN
ajst-5049	185	6	.	.	PUNCT
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ajst-5049	186	2	on	on	ADP
ajst-5049	186	3	related	related	ADJ
ajst-5049	186	4	technologies	technology	NOUN
ajst-5049	186	5	of	of	ADP
ajst-5049	186	6	terminal	terminal	ADJ
ajst-5049	186	7	capacity	capacity	NOUN
ajst-5049	186	8	assessment	assessment	NOUN
ajst-5049	186	9	on	on	ADP
ajst-5049	186	10	weather	weather	PROPN
ajst-5049	186	11	conditions[d	conditions[d	PROPN
ajst-5049	186	12	]	]	PUNCT
ajst-5049	186	13	.	.	PUNCT
ajst-5049	187	1	nanjing	nanjing	PROPN
ajst-5049	187	2	:	:	PUNCT
ajst-5049	187	3	nanjing	nanjing	PROPN
ajst-5049	187	4	university	university	PROPN
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ajst-5049	187	6	aeronautics	aeronautics	PROPN
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ajst-5049	187	9	,	,	PUNCT
ajst-5049	187	10	2014	2014	NUM
ajst-5049	187	11	.	.	PUNCT
ajst-5049	188	1	[	[	X
ajst-5049	188	2	14	14	NUM
ajst-5049	188	3	]	]	PUNCT
ajst-5049	188	4	xu	xu	PROPN
ajst-5049	188	5	yi	yi	PROPN
ajst-5049	188	6	-	-	PUNCT
ajst-5049	188	7	fan	fan	PROPN
ajst-5049	188	8	,	,	PUNCT
ajst-5049	188	9	li	li	PROPN
ajst-5049	188	10	jie	jie	PROPN
ajst-5049	188	11	,	,	PUNCT
ajst-5049	188	12	wei	wei	PROPN
ajst-5049	188	13	yi	yi	PROPN
ajst-5049	188	14	-	-	PUNCT
ajst-5049	188	15	tao	tao	PROPN
ajst-5049	188	16	.	.	PUNCT
ajst-5049	189	1	clustering	cluster	VERB
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ajst-5049	189	3	on	on	ADP
ajst-5049	189	4	airport	airport	NOUN
ajst-5049	189	5	weather	weather	NOUN
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ajst-5049	189	7	on	on	ADP
ajst-5049	189	8	som	som	PROPN
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ajst-5049	189	10	]	]	PUNCT
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ajst-5049	190	1	mathematics	mathematic	NOUN
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ajst-5049	190	3	practice	practice	NOUN
ajst-5049	190	4	and	and	CCONJ
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ajst-5049	190	6	,	,	PUNCT
ajst-5049	190	7	2016,46(17):210	2016,46(17):210	NOUN
ajst-5049	190	8	-	-	PUNCT
ajst-5049	190	9	217	217	NUM
ajst-5049	190	10	.	.	PUNCT
ajst-5049	191	1	[	[	X
ajst-5049	191	2	15	15	NUM
ajst-5049	191	3	]	]	X
ajst-5049	191	4	chen	chen	PROPN
ajst-5049	191	5	si	si	PROPN
ajst-5049	191	6	.	.	PUNCT
ajst-5049	192	1	the	the	DET
ajst-5049	192	2	forecast	forecast	NOUN
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ajst-5049	192	4	airport	airport	PROPN
ajst-5049	192	5	peak	peak	NOUN
ajst-5049	192	6	service	service	NOUN
ajst-5049	192	7	rate	rate	NOUN
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ajst-5049	192	10	weather[d	weather[d	PROPN
ajst-5049	192	11	]	]	PUNCT
ajst-5049	192	12	.	.	PUNCT
ajst-5049	193	1	nanjing	nanjing	PROPN
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ajst-5049	193	3	nanjing	nanjing	PROPN
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ajst-5049	193	7	and	and	CCONJ
ajst-5049	193	8	astronautics	astronautic	NOUN
ajst-5049	193	9	,	,	PUNCT
ajst-5049	193	10	2019	2019	NUM
ajst-5049	193	11	.	.	PUNCT
ajst-5049	194	1	[	[	X
ajst-5049	194	2	16	16	NUM
ajst-5049	194	3	]	]	X
ajst-5049	194	4	duan	duan	PROPN
ajst-5049	194	5	ming	ming	PROPN
ajst-5049	194	6	-	-	PUNCT
ajst-5049	194	7	xiu	xiu	PROPN
ajst-5049	194	8	.	.	PUNCT
ajst-5049	194	9	application	application	NOUN
ajst-5049	194	10	and	and	CCONJ
ajst-5049	194	11	research	research	NOUN
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ajst-5049	194	13	hierarchical	hierarchical	ADJ
ajst-5049	194	14	clustering	cluster	VERB
ajst-5049	194	15	algorithm[d	algorithm[d	PROPN
ajst-5049	194	16	]	]	PUNCT
ajst-5049	194	17	.	.	PUNCT
ajst-5049	195	1	changsha	changsha	PROPN
ajst-5049	195	2	:	:	PUNCT
ajst-5049	195	3	central	central	PROPN
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ajst-5049	195	6	,	,	PUNCT
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ajst-5049	195	8	.	.	PUNCT
ajst-5049	196	1	[	[	X
ajst-5049	196	2	17	17	NUM
ajst-5049	196	3	]	]	X
ajst-5049	196	4	wu	wu	PROPN
ajst-5049	196	5	su	su	PROPN
ajst-5049	196	6	-	-	PUNCT
ajst-5049	196	7	hui	hui	PROPN
ajst-5049	196	8	,	,	PUNCT
ajst-5049	196	9	cheng	cheng	PROPN
ajst-5049	196	10	ying	ying	PROPN
ajst-5049	196	11	,	,	PUNCT
ajst-5049	196	12	zheng	zheng	PROPN
ajst-5049	196	13	yan	yan	PROPN
ajst-5049	196	14	-	-	PUNCT
ajst-5049	196	15	ning	ning	PROPN
ajst-5049	196	16	,	,	PUNCT
ajst-5049	196	17	et	et	PROPN
ajst-5049	196	18	al	al	PROPN
ajst-5049	196	19	.	.	PROPN
ajst-5049	196	20	survey	survey	NOUN
ajst-5049	196	21	on	on	ADP
ajst-5049	196	22	k	k	NOUN
ajst-5049	196	23	-	-	PUNCT
ajst-5049	196	24	means	means	NOUN
ajst-5049	196	25	algorithm[j	algorithm[j	PROPN
ajst-5049	196	26	]	]	PUNCT
ajst-5049	196	27	.	.	PUNCT
ajst-5049	197	1	data	datum	NOUN
ajst-5049	197	2	analysis	analysis	NOUN
ajst-5049	197	3	and	and	CCONJ
ajst-5049	197	4	knowledge	knowledge	NOUN
ajst-5049	197	5	discovery	discovery	NOUN
ajst-5049	197	6	,	,	PUNCT
ajst-5049	197	7	2011(5):28	2011(5):28	PROPN
ajst-5049	197	8	-	-	SYM
ajst-5049	197	9	35	35	NUM
ajst-5049	197	10	.	.	PUNCT