id	sid	tid	token	lemma	pos
bracis-28423	1	1	a	a	DET
bracis-28423	1	2	clustering	clustering	ADJ
bracis-28423	1	3	validation	validation	NOUN
bracis-28423	1	4	index	index	NOUN
bracis-28423	1	5	based	base	VERB
bracis-28423	1	6	on	on	ADP
bracis-28423	1	7	 	 	SPACE
bracis-28423	1	8	semantic	semantic	ADJ
bracis-28423	1	9	description	description	NOUN
bracis-28423	1	10	|	|	ADV
bracis-28423	1	11	springer	springer	NOUN
bracis-28423	1	12	nature	nature	PROPN
bracis-28423	1	13	link	link	PROPN
bracis-28423	1	14	(	(	PUNCT
bracis-28423	1	15	formerly	formerly	ADV
bracis-28423	1	16	springerlink	springerlink	NOUN
bracis-28423	1	17	)	)	PUNCT
bracis-28423	1	18	skip	skip	VERB
bracis-28423	1	19	to	to	ADP
bracis-28423	1	20	main	main	ADJ
bracis-28423	1	21	content	content	NOUN
bracis-28423	1	22	advertisement	advertisement	NOUN
bracis-28423	1	23	log	log	NOUN
bracis-28423	1	24	in	in	ADP
bracis-28423	1	25	menu	menu	NOUN
bracis-28423	1	26	find	find	VERB
bracis-28423	1	27	a	a	DET
bracis-28423	1	28	journal	journal	NOUN
bracis-28423	1	29	publish	publish	VERB
bracis-28423	1	30	with	with	ADP
bracis-28423	1	31	us	we	PRON
bracis-28423	1	32	track	track	VERB
bracis-28423	1	33	your	your	PRON
bracis-28423	1	34	research	research	NOUN
bracis-28423	1	35	search	search	NOUN
bracis-28423	1	36	cart	cart	NOUN
bracis-28423	1	37	home	home	NOUN
bracis-28423	1	38	intelligent	intelligent	ADJ
bracis-28423	1	39	systems	system	NOUN
bracis-28423	1	40	conference	conference	NOUN
bracis-28423	1	41	paper	paper	NOUN
bracis-28423	1	42	a	a	DET
bracis-28423	1	43	clustering	clustering	ADJ
bracis-28423	1	44	validation	validation	NOUN
bracis-28423	1	45	index	index	NOUN
bracis-28423	1	46	based	base	VERB
bracis-28423	1	47	on	on	ADP
bracis-28423	1	48	 	 	SPACE
bracis-28423	1	49	semantic	semantic	ADJ
bracis-28423	1	50	description	description	NOUN
bracis-28423	1	51	conference	conference	NOUN
bracis-28423	1	52	paper	paper	NOUN
bracis-28423	1	53	first	first	ADV
bracis-28423	1	54	online	online	ADV
bracis-28423	1	55	:	:	PUNCT
bracis-28423	1	56	12	12	NUM
bracis-28423	1	57	october	october	NOUN
bracis-28423	1	58	2023	2023	NUM
bracis-28423	1	59	pp	pp	PROPN
bracis-28423	1	60	315–328	315–328	PROPN
bracis-28423	1	61	cite	cite	VERB
bracis-28423	1	62	this	this	DET
bracis-28423	1	63	conference	conference	NOUN
bracis-28423	1	64	paper	paper	NOUN
bracis-28423	1	65	access	access	NOUN
bracis-28423	1	66	provided	provide	VERB
bracis-28423	1	67	by	by	ADP
bracis-28423	1	68	university	university	PROPN
bracis-28423	1	69	of	of	ADP
bracis-28423	1	70	notre	notre	PROPN
bracis-28423	1	71	dame	dame	PROPN
bracis-28423	1	72	hesburgh	hesburgh	PROPN
bracis-28423	1	73	library	library	PROPN
bracis-28423	1	74	download	download	PROPN
bracis-28423	1	75	book	book	NOUN
bracis-28423	1	76	pdf	pdf	PROPN
bracis-28423	1	77	download	download	NOUN
bracis-28423	1	78	book	book	NOUN
bracis-28423	1	79	epub	epub	PROPN
bracis-28423	1	80	intelligent	intelligent	ADJ
bracis-28423	1	81	systems	system	NOUN
bracis-28423	1	82	(	(	PUNCT
bracis-28423	1	83	bracis	bracis	NOUN
bracis-28423	1	84	2023	2023	NUM
bracis-28423	1	85	)	)	PUNCT
bracis-28423	1	86	a	a	DET
bracis-28423	1	87	clustering	cluster	VERB
bracis-28423	1	88	validation	validation	NOUN
bracis-28423	1	89	index	index	NOUN
bracis-28423	1	90	based	base	VERB
bracis-28423	1	91	on	on	ADP
bracis-28423	1	92	 	 	SPACE
bracis-28423	1	93	semantic	semantic	ADJ
bracis-28423	1	94	description	description	NOUN
bracis-28423	1	95	download	download	NOUN
bracis-28423	1	96	book	book	NOUN
bracis-28423	1	97	pdf	pdf	PROPN
bracis-28423	1	98	download	download	NOUN
bracis-28423	1	99	book	book	PROPN
bracis-28423	1	100	epub	epub	PROPN
bracis-28423	1	101	roberto	roberto	PROPN
bracis-28423	1	102	douglas	douglas	PROPN
bracis-28423	1	103	guimarães	guimarães	PROPN
bracis-28423	1	104	de	de	PROPN
bracis-28423	1	105	aquino	aquino	PROPN
bracis-28423	1	106	  	  	SPACE
bracis-28423	1	107	orcid	orcid	NOUN
bracis-28423	1	108	:	:	PUNCT
bracis-28423	1	109	orcid.org/0000-0002-8486-83549,10	orcid.org/0000-0002-8486-83549,10	PROPN
bracis-28423	1	110	,	,	PUNCT
bracis-28423	1	111	vitor	vitor	PROPN
bracis-28423	1	112	venceslau	venceslau	PROPN
bracis-28423	1	113	curtis	curtis	PROPN
bracis-28423	1	114	  	  	SPACE
bracis-28423	1	115	orcid	orcid	PROPN
bracis-28423	1	116	:	:	PUNCT
bracis-28423	1	117	orcid.org/0000-0003-4462-39079	orcid.org/0000-0003-4462-39079	PROPN
bracis-28423	1	118	&	&	CCONJ
bracis-28423	1	119	filipe	filipe	PROPN
bracis-28423	1	120	alves	alves	PROPN
bracis-28423	1	121	neto	neto	PROPN
bracis-28423	1	122	verri	verri	PROPN
bracis-28423	1	123	  	  	SPACE
bracis-28423	1	124	orcid	orcid	NOUN
bracis-28423	1	125	:	:	PUNCT
bracis-28423	1	126	orcid.org/0000-0002-8240-51299	orcid.org/0000-0002-8240-51299	NOUN
bracis-28423	1	127	  	  	SPACE
bracis-28423	1	128	part	part	NOUN
bracis-28423	1	129	of	of	ADP
bracis-28423	1	130	the	the	DET
bracis-28423	1	131	book	book	NOUN
bracis-28423	1	132	series	series	NOUN
bracis-28423	1	133	:	:	PUNCT
bracis-28423	1	134	lecture	lecture	NOUN
bracis-28423	1	135	notes	note	NOUN
bracis-28423	1	136	in	in	ADP
bracis-28423	1	137	computer	computer	NOUN
bracis-28423	1	138	science	science	NOUN
bracis-28423	1	139	(	(	PUNCT
bracis-28423	1	140	(	(	PUNCT
bracis-28423	1	141	lnai	lnai	ADJ
bracis-28423	1	142	,	,	PUNCT
bracis-28423	1	143	volume	volume	NOUN
bracis-28423	1	144	14197	14197	NUM
bracis-28423	1	145	)	)	PUNCT
bracis-28423	1	146	)	)	PUNCT
bracis-28423	1	147	included	include	VERB
bracis-28423	1	148	in	in	ADP
bracis-28423	1	149	the	the	DET
bracis-28423	1	150	following	follow	VERB
bracis-28423	1	151	conference	conference	NOUN
bracis-28423	1	152	series	series	NOUN
bracis-28423	1	153	:	:	PUNCT
bracis-28423	1	154	brazilian	brazilian	ADJ
bracis-28423	1	155	conference	conference	NOUN
bracis-28423	1	156	on	on	ADP
bracis-28423	1	157	intelligent	intelligent	ADJ
bracis-28423	1	158	systems	system	NOUN
bracis-28423	1	159	507	507	NUM
bracis-28423	1	160	accesses	access	NOUN
bracis-28423	1	161	1	1	NUM
bracis-28423	1	162	citation	citation	NOUN
bracis-28423	1	163	abstract	abstract	NOUN
bracis-28423	1	164	in	in	ADP
bracis-28423	1	165	clustering	cluster	VERB
bracis-28423	1	166	problems	problem	NOUN
bracis-28423	1	167	where	where	SCONJ
bracis-28423	1	168	the	the	DET
bracis-28423	1	169	objective	objective	NOUN
bracis-28423	1	170	is	be	AUX
bracis-28423	1	171	not	not	PART
bracis-28423	1	172	based	base	VERB
bracis-28423	1	173	on	on	ADP
bracis-28423	1	174	specifically	specifically	ADV
bracis-28423	1	175	spatial	spatial	ADJ
bracis-28423	1	176	proximity	proximity	NOUN
bracis-28423	1	177	,	,	PUNCT
bracis-28423	1	178	but	but	CCONJ
bracis-28423	1	179	rather	rather	ADV
bracis-28423	1	180	on	on	ADP
bracis-28423	1	181	feature	feature	NOUN
bracis-28423	1	182	patterns	pattern	NOUN
bracis-28423	1	183	and	and	CCONJ
bracis-28423	1	184	the	the	DET
bracis-28423	1	185	semantic	semantic	ADJ
bracis-28423	1	186	description	description	NOUN
bracis-28423	1	187	,	,	PUNCT
bracis-28423	1	188	traditional	traditional	ADJ
bracis-28423	1	189	internal	internal	ADJ
bracis-28423	1	190	cluster	cluster	NOUN
bracis-28423	1	191	validation	validation	NOUN
bracis-28423	1	192	indices	index	NOUN
bracis-28423	1	193	might	might	AUX
bracis-28423	1	194	not	not	PART
bracis-28423	1	195	be	be	AUX
bracis-28423	1	196	appropriate	appropriate	ADJ
bracis-28423	1	197	.	.	PUNCT
bracis-28423	2	1	this	this	DET
bracis-28423	2	2	article	article	NOUN
bracis-28423	2	3	proposes	propose	VERB
bracis-28423	2	4	a	a	DET
bracis-28423	2	5	novel	novel	ADJ
bracis-28423	2	6	validity	validity	NOUN
bracis-28423	2	7	index	index	NOUN
bracis-28423	2	8	to	to	PART
bracis-28423	2	9	suggest	suggest	VERB
bracis-28423	2	10	the	the	DET
bracis-28423	2	11	most	most	ADV
bracis-28423	2	12	appropriate	appropriate	ADJ
bracis-28423	2	13	number	number	NOUN
bracis-28423	2	14	of	of	ADP
bracis-28423	2	15	clusters	cluster	NOUN
bracis-28423	2	16	based	base	VERB
bracis-28423	2	17	on	on	ADP
bracis-28423	2	18	a	a	DET
bracis-28423	2	19	semantic	semantic	ADJ
bracis-28423	2	20	description	description	NOUN
bracis-28423	2	21	of	of	ADP
bracis-28423	2	22	categorical	categorical	ADJ
bracis-28423	2	23	databases	database	NOUN
bracis-28423	2	24	.	.	PUNCT
bracis-28423	3	1	to	to	PART
bracis-28423	3	2	assess	assess	VERB
bracis-28423	3	3	our	our	PRON
bracis-28423	3	4	index	index	NOUN
bracis-28423	3	5	,	,	PUNCT
bracis-28423	3	6	we	we	PRON
bracis-28423	3	7	also	also	ADV
bracis-28423	3	8	propose	propose	VERB
bracis-28423	3	9	a	a	DET
bracis-28423	3	10	synthetic	synthetic	ADJ
bracis-28423	3	11	data	data	NOUN
bracis-28423	3	12	generator	generator	NOUN
bracis-28423	3	13	specifically	specifically	ADV
bracis-28423	3	14	designed	design	VERB
bracis-28423	3	15	for	for	ADP
bracis-28423	3	16	this	this	DET
bracis-28423	3	17	type	type	NOUN
bracis-28423	3	18	of	of	ADP
bracis-28423	3	19	application	application	NOUN
bracis-28423	3	20	.	.	PUNCT
bracis-28423	4	1	we	we	PRON
bracis-28423	4	2	tested	test	VERB
bracis-28423	4	3	data	data	NOUN
bracis-28423	4	4	sets	set	NOUN
bracis-28423	4	5	with	with	ADP
bracis-28423	4	6	different	different	ADJ
bracis-28423	4	7	configurations	configuration	NOUN
bracis-28423	4	8	to	to	PART
bracis-28423	4	9	assess	assess	VERB
bracis-28423	4	10	the	the	DET
bracis-28423	4	11	performance	performance	NOUN
bracis-28423	4	12	of	of	ADP
bracis-28423	4	13	the	the	DET
bracis-28423	4	14	proposed	propose	VERB
bracis-28423	4	15	index	index	NOUN
bracis-28423	4	16	compared	compare	VERB
bracis-28423	4	17	to	to	ADP
bracis-28423	4	18	well	well	ADV
bracis-28423	4	19	-	-	PUNCT
bracis-28423	4	20	known	know	VERB
bracis-28423	4	21	indices	index	NOUN
bracis-28423	4	22	in	in	ADP
bracis-28423	4	23	the	the	DET
bracis-28423	4	24	literature	literature	NOUN
bracis-28423	4	25	.	.	PUNCT
bracis-28423	5	1	thus	thus	ADV
bracis-28423	5	2	,	,	PUNCT
bracis-28423	5	3	we	we	PRON
bracis-28423	5	4	demonstrate	demonstrate	VERB
bracis-28423	5	5	that	that	SCONJ
bracis-28423	5	6	the	the	DET
bracis-28423	5	7	index	index	NOUN
bracis-28423	5	8	has	have	VERB
bracis-28423	5	9	great	great	ADJ
bracis-28423	5	10	potential	potential	NOUN
bracis-28423	5	11	for	for	ADP
bracis-28423	5	12	discovering	discover	VERB
bracis-28423	5	13	the	the	DET
bracis-28423	5	14	number	number	NOUN
bracis-28423	5	15	of	of	ADP
bracis-28423	5	16	clusters	cluster	NOUN
bracis-28423	5	17	for	for	ADP
bracis-28423	5	18	the	the	DET
bracis-28423	5	19	type	type	NOUN
bracis-28423	5	20	of	of	ADP
bracis-28423	5	21	application	application	NOUN
bracis-28423	5	22	studied	study	VERB
bracis-28423	5	23	and	and	CCONJ
bracis-28423	5	24	the	the	DET
bracis-28423	5	25	data	data	NOUN
bracis-28423	5	26	generator	generator	NOUN
bracis-28423	5	27	is	be	AUX
bracis-28423	5	28	able	able	ADJ
bracis-28423	5	29	to	to	PART
bracis-28423	5	30	produce	produce	VERB
bracis-28423	5	31	relevant	relevant	ADJ
bracis-28423	5	32	data	data	NOUN
bracis-28423	5	33	sets	set	NOUN
bracis-28423	5	34	for	for	ADP
bracis-28423	5	35	the	the	DET
bracis-28423	5	36	internal	internal	ADJ
bracis-28423	5	37	validation	validation	NOUN
bracis-28423	5	38	process	process	NOUN
bracis-28423	5	39	.	.	PUNCT
bracis-28423	6	1	supported	support	VERB
bracis-28423	6	2	by	by	ADP
bracis-28423	6	3	coordenação	coordenação	PROPN
bracis-28423	6	4	de	de	PROPN
bracis-28423	6	5	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-28423	6	6	de	de	X
bracis-28423	6	7	pessoal	pessoal	PROPN
bracis-28423	6	8	de	de	PROPN
bracis-28423	6	9	nível	nível	PROPN
bracis-28423	6	10	superior	superior	PROPN
bracis-28423	6	11	brasil	brasil	PROPN
bracis-28423	6	12	(	(	PUNCT
bracis-28423	6	13	capes	cape	NOUN
bracis-28423	6	14	)	)	PUNCT
bracis-28423	6	15	.	.	PUNCT
bracis-28423	7	1	access	access	NOUN
bracis-28423	7	2	provided	provide	VERB
bracis-28423	7	3	by	by	ADP
bracis-28423	7	4	university	university	PROPN
bracis-28423	7	5	of	of	ADP
bracis-28423	7	6	notre	notre	PROPN
bracis-28423	7	7	dame	dame	PROPN
bracis-28423	7	8	hesburgh	hesburgh	PROPN
bracis-28423	7	9	library	library	PROPN
bracis-28423	7	10	.	.	PUNCT
bracis-28423	8	1	download	download	PROPN
bracis-28423	8	2	conference	conference	NOUN
bracis-28423	8	3	paper	paper	NOUN
bracis-28423	8	4	pdf	pdf	NOUN
bracis-28423	8	5	similar	similar	ADJ
bracis-28423	8	6	content	content	NOUN
bracis-28423	8	7	being	be	AUX
bracis-28423	8	8	viewed	view	VERB
bracis-28423	8	9	by	by	ADP
bracis-28423	8	10	others	other	NOUN
bracis-28423	8	11	an	an	DET
bracis-28423	8	12	unsupervised	unsupervised	ADJ
bracis-28423	8	13	and	and	CCONJ
bracis-28423	8	14	robust	robust	ADJ
bracis-28423	8	15	validity	validity	NOUN
bracis-28423	8	16	index	index	NOUN
bracis-28423	8	17	for	for	ADP
bracis-28423	8	18	clustering	cluster	VERB
bracis-28423	8	19	analysis	analysis	NOUN
bracis-28423	8	20	article	article	NOUN
bracis-28423	8	21	19	19	NUM
bracis-28423	8	22	october	october	PROPN
bracis-28423	8	23	2018	2018	NUM
bracis-28423	8	24	an	an	DET
bracis-28423	8	25	approach	approach	NOUN
bracis-28423	8	26	to	to	ADP
bracis-28423	8	27	validity	validity	NOUN
bracis-28423	8	28	indices	index	NOUN
bracis-28423	8	29	for	for	ADP
bracis-28423	8	30	clustering	cluster	VERB
bracis-28423	8	31	techniques	technique	NOUN
bracis-28423	8	32	in	in	ADP
bracis-28423	8	33	big	big	ADJ
bracis-28423	8	34	data	datum	NOUN
bracis-28423	8	35	article	article	NOUN
bracis-28423	8	36	05	05	NUM
bracis-28423	8	37	october	october	PROPN
bracis-28423	8	38	2017	2017	NUM
bracis-28423	8	39	stability	stability	NOUN
bracis-28423	8	40	of	of	ADP
bracis-28423	8	41	mixed	mixed	ADJ
bracis-28423	8	42	-	-	PUNCT
bracis-28423	8	43	type	type	NOUN
bracis-28423	8	44	cluster	cluster	NOUN
bracis-28423	8	45	partitions	partition	NOUN
bracis-28423	8	46	for	for	ADP
bracis-28423	8	47	determination	determination	NOUN
bracis-28423	8	48	of	of	ADP
bracis-28423	8	49	the	the	DET
bracis-28423	8	50	number	number	NOUN
bracis-28423	8	51	of	of	ADP
bracis-28423	8	52	clusters	cluster	NOUN
bracis-28423	8	53	chapter	chapter	NOUN
bracis-28423	8	54	©	©	PROPN
bracis-28423	8	55	2023	2023	NUM
bracis-28423	8	56	explore	explore	VERB
bracis-28423	8	57	related	relate	VERB
bracis-28423	8	58	subjects	subject	NOUN
bracis-28423	8	59	discover	discover	VERB
bracis-28423	8	60	the	the	DET
bracis-28423	8	61	latest	late	ADJ
bracis-28423	8	62	articles	article	NOUN
bracis-28423	8	63	,	,	PUNCT
bracis-28423	8	64	books	book	NOUN
bracis-28423	8	65	and	and	CCONJ
bracis-28423	8	66	news	news	NOUN
bracis-28423	8	67	in	in	ADP
bracis-28423	8	68	related	related	ADJ
bracis-28423	8	69	subjects	subject	NOUN
bracis-28423	8	70	,	,	PUNCT
bracis-28423	8	71	suggested	suggest	VERB
bracis-28423	8	72	using	use	VERB
bracis-28423	8	73	machine	machine	NOUN
bracis-28423	8	74	learning	learning	NOUN
bracis-28423	8	75	.	.	PUNCT
bracis-28423	9	1	categorization	categorization	NOUN
bracis-28423	9	2	data	datum	NOUN
bracis-28423	9	3	mining	mining	NOUN
bracis-28423	9	4	and	and	CCONJ
bracis-28423	9	5	knowledge	knowledge	NOUN
bracis-28423	9	6	discovery	discovery	PROPN
bracis-28423	9	7	data	data	PROPN
bracis-28423	9	8	mining	mining	NOUN
bracis-28423	9	9	ontology	ontology	NOUN
bracis-28423	9	10	functional	functional	ADJ
bracis-28423	9	11	clustering	clustering	NOUN
bracis-28423	9	12	reactivity	reactivity	NOUN
bracis-28423	9	13	of	of	ADP
bracis-28423	9	14	clusters	cluster	NOUN
bracis-28423	9	15	1	1	NUM
bracis-28423	9	16	introduction	introduction	NOUN
bracis-28423	9	17	clustering	cluster	VERB
bracis-28423	9	18	is	be	AUX
bracis-28423	9	19	a	a	DET
bracis-28423	9	20	partitioning	partitioning	ADJ
bracis-28423	9	21	technique	technique	NOUN
bracis-28423	9	22	that	that	PRON
bracis-28423	9	23	aims	aim	VERB
bracis-28423	9	24	to	to	ADP
bracis-28423	9	25	group	group	NOUN
bracis-28423	9	26	data	datum	NOUN
bracis-28423	9	27	points	point	NOUN
bracis-28423	9	28	so	so	SCONJ
bracis-28423	9	29	that	that	SCONJ
bracis-28423	9	30	points	point	VERB
bracis-28423	9	31	within	within	ADP
bracis-28423	9	32	a	a	DET
bracis-28423	9	33	group	group	NOUN
bracis-28423	9	34	have	have	VERB
bracis-28423	9	35	similar	similar	ADJ
bracis-28423	9	36	characteristics	characteristic	NOUN
bracis-28423	9	37	(	(	PUNCT
bracis-28423	9	38	or	or	CCONJ
bracis-28423	9	39	are	be	AUX
bracis-28423	9	40	close	close	ADJ
bracis-28423	9	41	to	to	ADP
bracis-28423	9	42	each	each	DET
bracis-28423	9	43	other	other	ADJ
bracis-28423	9	44	)	)	PUNCT
bracis-28423	9	45	while	while	SCONJ
bracis-28423	9	46	points	point	NOUN
bracis-28423	9	47	in	in	ADP
bracis-28423	9	48	other	other	ADJ
bracis-28423	9	49	groups	group	NOUN
bracis-28423	9	50	are	be	AUX
bracis-28423	9	51	different	different	ADJ
bracis-28423	9	52	 	 	SPACE
bracis-28423	10	1	[	[	X
bracis-28423	10	2	11	11	NUM
bracis-28423	10	3	]	]	PUNCT
bracis-28423	10	4	.	.	PUNCT
bracis-28423	11	1	in	in	ADP
bracis-28423	11	2	this	this	DET
bracis-28423	11	3	type	type	NOUN
bracis-28423	11	4	of	of	ADP
bracis-28423	11	5	task	task	NOUN
bracis-28423	11	6	,	,	PUNCT
bracis-28423	11	7	defining	define	VERB
bracis-28423	11	8	the	the	DET
bracis-28423	11	9	most	most	ADV
bracis-28423	11	10	suitable	suitable	ADJ
bracis-28423	11	11	technique	technique	NOUN
bracis-28423	11	12	for	for	ADP
bracis-28423	11	13	the	the	DET
bracis-28423	11	14	type	type	NOUN
bracis-28423	11	15	of	of	ADP
bracis-28423	11	16	data	datum	NOUN
bracis-28423	11	17	and	and	CCONJ
bracis-28423	11	18	the	the	DET
bracis-28423	11	19	correct	correct	ADJ
bracis-28423	11	20	number	number	NOUN
bracis-28423	11	21	of	of	ADP
bracis-28423	11	22	clusters	cluster	NOUN
bracis-28423	11	23	can	can	AUX
bracis-28423	11	24	be	be	AUX
bracis-28423	11	25	a	a	DET
bracis-28423	11	26	challenge	challenge	NOUN
bracis-28423	11	27	,	,	PUNCT
bracis-28423	11	28	especially	especially	ADV
bracis-28423	11	29	if	if	SCONJ
bracis-28423	11	30	little	little	ADJ
bracis-28423	11	31	information	information	NOUN
bracis-28423	11	32	about	about	ADP
bracis-28423	11	33	the	the	DET
bracis-28423	11	34	data	datum	NOUN
bracis-28423	11	35	is	be	AUX
bracis-28423	11	36	known	know	VERB
bracis-28423	11	37	 	 	SPACE
bracis-28423	12	1	[	[	X
bracis-28423	12	2	12	12	NUM
bracis-28423	12	3	]	]	PUNCT
bracis-28423	12	4	.	.	PUNCT
bracis-28423	13	1	despite	despite	SCONJ
bracis-28423	13	2	the	the	DET
bracis-28423	13	3	existence	existence	NOUN
bracis-28423	13	4	of	of	ADP
bracis-28423	13	5	several	several	ADJ
bracis-28423	13	6	approaches	approach	NOUN
bracis-28423	13	7	to	to	PART
bracis-28423	13	8	solve	solve	VERB
bracis-28423	13	9	this	this	DET
bracis-28423	13	10	problem	problem	NOUN
bracis-28423	13	11	,	,	PUNCT
bracis-28423	13	12	there	there	PRON
bracis-28423	13	13	is	be	VERB
bracis-28423	13	14	no	no	DET
bracis-28423	13	15	optimal	optimal	ADJ
bracis-28423	13	16	method	method	NOUN
bracis-28423	13	17	,	,	PUNCT
bracis-28423	13	18	especially	especially	ADV
bracis-28423	13	19	when	when	SCONJ
bracis-28423	13	20	considering	consider	VERB
bracis-28423	13	21	categorical	categorical	ADJ
bracis-28423	13	22	data	datum	NOUN
bracis-28423	13	23	.	.	PUNCT
bracis-28423	14	1	on	on	ADP
bracis-28423	14	2	this	this	DET
bracis-28423	14	3	type	type	NOUN
bracis-28423	14	4	of	of	ADP
bracis-28423	14	5	data	datum	NOUN
bracis-28423	14	6	the	the	DET
bracis-28423	14	7	distance	distance	NOUN
bracis-28423	14	8	-	-	PUNCT
bracis-28423	14	9	based	base	VERB
bracis-28423	14	10	techniques	technique	NOUN
bracis-28423	14	11	may	may	AUX
bracis-28423	14	12	not	not	PART
bracis-28423	14	13	be	be	AUX
bracis-28423	14	14	suitable	suitable	ADJ
bracis-28423	14	15	 	 	SPACE
bracis-28423	15	1	[	[	X
bracis-28423	15	2	6	6	NUM
bracis-28423	15	3	,	,	PUNCT
bracis-28423	15	4	8	8	NUM
bracis-28423	15	5	]	]	PUNCT
bracis-28423	15	6	.	.	PUNCT
bracis-28423	16	1	in	in	ADP
bracis-28423	16	2	order	order	NOUN
bracis-28423	16	3	to	to	PART
bracis-28423	16	4	discover	discover	VERB
bracis-28423	16	5	the	the	DET
bracis-28423	16	6	adequate	adequate	ADJ
bracis-28423	16	7	number	number	NOUN
bracis-28423	16	8	of	of	ADP
bracis-28423	16	9	clusters	cluster	NOUN
bracis-28423	16	10	,	,	PUNCT
bracis-28423	16	11	cluster	cluster	NOUN
bracis-28423	16	12	validity	validity	NOUN
bracis-28423	16	13	indices	index	NOUN
bracis-28423	16	14	(	(	PUNCT
bracis-28423	16	15	cvi	cvi	NOUN
bracis-28423	16	16	)	)	PUNCT
bracis-28423	16	17	 	 	SPACE
bracis-28423	17	1	[	[	X
bracis-28423	17	2	2	2	NUM
bracis-28423	17	3	]	]	PUNCT
bracis-28423	17	4	are	be	AUX
bracis-28423	17	5	generally	generally	ADV
bracis-28423	17	6	used	use	VERB
bracis-28423	17	7	,	,	PUNCT
bracis-28423	17	8	which	which	PRON
bracis-28423	17	9	can	can	AUX
bracis-28423	17	10	have	have	VERB
bracis-28423	17	11	different	different	ADJ
bracis-28423	17	12	approaches	approach	NOUN
bracis-28423	17	13	,	,	PUNCT
bracis-28423	17	14	such	such	ADJ
bracis-28423	17	15	as	as	ADP
bracis-28423	17	16	distance	distance	NOUN
bracis-28423	17	17	between	between	ADP
bracis-28423	17	18	points	point	NOUN
bracis-28423	17	19	 	 	SPACE
bracis-28423	18	1	[	[	X
bracis-28423	18	2	3	3	NUM
bracis-28423	18	3	,	,	PUNCT
bracis-28423	18	4	4	4	NUM
bracis-28423	18	5	,	,	PUNCT
bracis-28423	18	6	17	17	NUM
bracis-28423	18	7	]	]	PUNCT
bracis-28423	18	8	,	,	PUNCT
bracis-28423	18	9	density	density	NOUN
bracis-28423	18	10	 	 	SPACE
bracis-28423	19	1	[	[	X
bracis-28423	19	2	16	16	NUM
bracis-28423	19	3	]	]	PUNCT
bracis-28423	19	4	,	,	PUNCT
bracis-28423	19	5	entropy	entropy	PROPN
bracis-28423	19	6	 	 	SPACE
bracis-28423	20	1	[	[	X
bracis-28423	20	2	7	7	NUM
bracis-28423	20	3	]	]	PUNCT
bracis-28423	20	4	,	,	PUNCT
bracis-28423	20	5	comparison	comparison	NOUN
bracis-28423	20	6	between	between	ADP
bracis-28423	20	7	different	different	ADJ
bracis-28423	20	8	indices	index	NOUN
bracis-28423	20	9	 	 	SPACE
bracis-28423	20	10	[	[	X
bracis-28423	20	11	20	20	NUM
bracis-28423	20	12	]	]	PUNCT
bracis-28423	20	13	,	,	PUNCT
bracis-28423	20	14	among	among	ADP
bracis-28423	20	15	others	other	NOUN
bracis-28423	20	16	 	 	SPACE
bracis-28423	21	1	[	[	X
bracis-28423	21	2	18	18	NUM
bracis-28423	21	3	]	]	PUNCT
bracis-28423	21	4	.	.	PUNCT
bracis-28423	22	1	thus	thus	ADV
bracis-28423	22	2	,	,	PUNCT
bracis-28423	22	3	depending	depend	VERB
bracis-28423	22	4	on	on	ADP
bracis-28423	22	5	the	the	DET
bracis-28423	22	6	configuration	configuration	NOUN
bracis-28423	22	7	of	of	ADP
bracis-28423	22	8	the	the	DET
bracis-28423	22	9	data	data	NOUN
bracis-28423	22	10	points	point	NOUN
bracis-28423	22	11	and	and	CCONJ
bracis-28423	22	12	the	the	DET
bracis-28423	22	13	purpose	purpose	NOUN
bracis-28423	22	14	of	of	ADP
bracis-28423	22	15	the	the	DET
bracis-28423	22	16	clustering	clustering	ADJ
bracis-28423	22	17	certain	certain	ADJ
bracis-28423	22	18	indices	index	NOUN
bracis-28423	22	19	may	may	AUX
bracis-28423	22	20	be	be	AUX
bracis-28423	22	21	more	more	ADV
bracis-28423	22	22	suitable	suitable	ADJ
bracis-28423	22	23	.	.	PUNCT
bracis-28423	23	1	therefore	therefore	ADV
bracis-28423	23	2	,	,	PUNCT
bracis-28423	23	3	in	in	ADP
bracis-28423	23	4	scenarios	scenario	NOUN
bracis-28423	23	5	where	where	SCONJ
bracis-28423	23	6	the	the	DET
bracis-28423	23	7	objective	objective	NOUN
bracis-28423	23	8	is	be	AUX
bracis-28423	23	9	not	not	PART
bracis-28423	23	10	based	base	VERB
bracis-28423	23	11	on	on	ADP
bracis-28423	23	12	specifically	specifically	ADV
bracis-28423	23	13	clustering	cluster	VERB
bracis-28423	23	14	nearby	nearby	ADJ
bracis-28423	23	15	data	data	NOUN
bracis-28423	23	16	points	point	NOUN
bracis-28423	23	17	,	,	PUNCT
bracis-28423	23	18	but	but	CCONJ
bracis-28423	23	19	rather	rather	ADV
bracis-28423	23	20	on	on	ADP
bracis-28423	23	21	obtaining	obtain	VERB
bracis-28423	23	22	clusters	cluster	NOUN
bracis-28423	23	23	based	base	VERB
bracis-28423	23	24	on	on	ADP
bracis-28423	23	25	feature	feature	NOUN
bracis-28423	23	26	patterns	pattern	NOUN
bracis-28423	23	27	or	or	CCONJ
bracis-28423	23	28	explaining	explain	VERB
bracis-28423	23	29	them	they	PRON
bracis-28423	23	30	,	,	PUNCT
bracis-28423	23	31	using	use	VERB
bracis-28423	23	32	a	a	DET
bracis-28423	23	33	cvi	cvi	NOUN
bracis-28423	23	34	developed	develop	VERB
bracis-28423	23	35	for	for	ADP
bracis-28423	23	36	this	this	DET
bracis-28423	23	37	purpose	purpose	NOUN
bracis-28423	23	38	may	may	AUX
bracis-28423	23	39	be	be	AUX
bracis-28423	23	40	more	more	ADV
bracis-28423	23	41	appropriate	appropriate	ADJ
bracis-28423	23	42	.	.	PUNCT
bracis-28423	24	1	for	for	ADP
bracis-28423	24	2	example	example	NOUN
bracis-28423	24	3	,	,	PUNCT
bracis-28423	24	4	consider	consider	VERB
bracis-28423	24	5	a	a	DET
bracis-28423	24	6	human	human	ADJ
bracis-28423	24	7	resources	resource	NOUN
bracis-28423	24	8	data	datum	NOUN
bracis-28423	24	9	set	set	VERB
bracis-28423	24	10	in	in	ADP
bracis-28423	24	11	which	which	PRON
bracis-28423	24	12	each	each	DET
bracis-28423	24	13	data	datum	NOUN
bracis-28423	24	14	point	point	NOUN
bracis-28423	24	15	represents	represent	VERB
bracis-28423	24	16	a	a	DET
bracis-28423	24	17	person	person	NOUN
bracis-28423	24	18	described	describe	VERB
bracis-28423	24	19	by	by	ADP
bracis-28423	24	20	categorical	categorical	ADJ
bracis-28423	24	21	features	feature	NOUN
bracis-28423	24	22	related	relate	VERB
bracis-28423	24	23	to	to	ADP
bracis-28423	24	24	their	their	PRON
bracis-28423	24	25	professional	professional	ADJ
bracis-28423	24	26	characteristics	characteristic	NOUN
bracis-28423	24	27	,	,	PUNCT
bracis-28423	24	28	such	such	ADJ
bracis-28423	24	29	as	as	ADP
bracis-28423	24	30	education	education	NOUN
bracis-28423	24	31	,	,	PUNCT
bracis-28423	24	32	leadership	leadership	NOUN
bracis-28423	24	33	,	,	PUNCT
bracis-28423	24	34	teamwork	teamwork	NOUN
bracis-28423	24	35	,	,	PUNCT
bracis-28423	24	36	creativity	creativity	NOUN
bracis-28423	24	37	,	,	PUNCT
bracis-28423	24	38	etc	etc	X
bracis-28423	24	39	.	.	X
bracis-28423	24	40	given	give	VERB
bracis-28423	24	41	that	that	SCONJ
bracis-28423	24	42	a	a	DET
bracis-28423	24	43	decision	decision	NOUN
bracis-28423	24	44	maker	maker	NOUN
bracis-28423	24	45	needs	need	VERB
bracis-28423	24	46	to	to	PART
bracis-28423	24	47	identify	identify	VERB
bracis-28423	24	48	the	the	DET
bracis-28423	24	49	profiles	profile	NOUN
bracis-28423	24	50	present	present	ADJ
bracis-28423	24	51	in	in	ADP
bracis-28423	24	52	this	this	DET
bracis-28423	24	53	data	datum	NOUN
bracis-28423	24	54	set	set	VERB
bracis-28423	24	55	in	in	ADP
bracis-28423	24	56	order	order	NOUN
bracis-28423	24	57	to	to	PART
bracis-28423	24	58	select	select	VERB
bracis-28423	24	59	people	people	NOUN
bracis-28423	24	60	for	for	ADP
bracis-28423	24	61	a	a	DET
bracis-28423	24	62	given	give	VERB
bracis-28423	24	63	task	task	NOUN
bracis-28423	24	64	,	,	PUNCT
bracis-28423	24	65	how	how	SCONJ
bracis-28423	24	66	could	could	AUX
bracis-28423	24	67	he	he	PRON
bracis-28423	24	68	know	know	VERB
bracis-28423	24	69	the	the	DET
bracis-28423	24	70	number	number	NOUN
bracis-28423	24	71	of	of	ADP
bracis-28423	24	72	potential	potential	ADJ
bracis-28423	24	73	professional	professional	ADJ
bracis-28423	24	74	profiles	profile	NOUN
bracis-28423	24	75	and	and	CCONJ
bracis-28423	24	76	their	their	PRON
bracis-28423	24	77	respective	respective	ADJ
bracis-28423	24	78	descriptions	description	NOUN
bracis-28423	24	79	?	?	PUNCT
bracis-28423	25	1	in	in	ADP
bracis-28423	25	2	this	this	DET
bracis-28423	25	3	type	type	NOUN
bracis-28423	25	4	of	of	ADP
bracis-28423	25	5	scenario	scenario	NOUN
bracis-28423	25	6	,	,	PUNCT
bracis-28423	25	7	given	give	VERB
bracis-28423	25	8	the	the	DET
bracis-28423	25	9	purpose	purpose	NOUN
bracis-28423	25	10	of	of	ADP
bracis-28423	25	11	clustering	clustering	NOUN
bracis-28423	25	12	and	and	CCONJ
bracis-28423	25	13	the	the	DET
bracis-28423	25	14	type	type	NOUN
bracis-28423	25	15	of	of	ADP
bracis-28423	25	16	features	feature	NOUN
bracis-28423	25	17	that	that	PRON
bracis-28423	25	18	describe	describe	VERB
bracis-28423	25	19	the	the	DET
bracis-28423	25	20	data	datum	NOUN
bracis-28423	25	21	,	,	PUNCT
bracis-28423	25	22	using	use	VERB
bracis-28423	25	23	a	a	DET
bracis-28423	25	24	distance	distance	NOUN
bracis-28423	25	25	-	-	PUNCT
bracis-28423	25	26	based	base	VERB
bracis-28423	25	27	index	index	NOUN
bracis-28423	25	28	may	may	AUX
bracis-28423	25	29	not	not	PART
bracis-28423	25	30	be	be	AUX
bracis-28423	25	31	the	the	DET
bracis-28423	25	32	best	good	ADJ
bracis-28423	25	33	choice	choice	NOUN
bracis-28423	25	34	.	.	PUNCT
bracis-28423	26	1	an	an	DET
bracis-28423	26	2	example	example	NOUN
bracis-28423	26	3	of	of	ADP
bracis-28423	26	4	application	application	NOUN
bracis-28423	26	5	of	of	ADP
bracis-28423	26	6	this	this	DET
bracis-28423	26	7	type	type	NOUN
bracis-28423	26	8	of	of	ADP
bracis-28423	26	9	scenario	scenario	NOUN
bracis-28423	26	10	can	can	AUX
bracis-28423	26	11	be	be	AUX
bracis-28423	26	12	observed	observe	VERB
bracis-28423	26	13	in	in	ADP
bracis-28423	26	14	the	the	DET
bracis-28423	26	15	data	data	NOUN
bracis-28423	26	16	sets	set	NOUN
bracis-28423	26	17	of	of	ADP
bracis-28423	26	18	the	the	DET
bracis-28423	26	19	competence	competence	NOUN
bracis-28423	26	20	system	system	NOUN
bracis-28423	26	21	of	of	ADP
bracis-28423	26	22	the	the	DET
bracis-28423	26	23	department	department	PROPN
bracis-28423	26	24	of	of	ADP
bracis-28423	26	25	aerospace	aerospace	NOUN
bracis-28423	26	26	science	science	NOUN
bracis-28423	26	27	and	and	CCONJ
bracis-28423	26	28	technology	technology	NOUN
bracis-28423	26	29	(	(	PUNCT
bracis-28423	26	30	dcta)footnote	dcta)footnote	NOUN
bracis-28423	26	31	1	1	NUM
bracis-28423	26	32	of	of	ADP
bracis-28423	26	33	the	the	DET
bracis-28423	26	34	brazilian	brazilian	ADJ
bracis-28423	26	35	air	air	PROPN
bracis-28423	26	36	force	force	NOUN
bracis-28423	26	37	called	call	VERB
bracis-28423	26	38	hippocampus	hippocampus	NOUN
bracis-28423	26	39	.	.	PUNCT
bracis-28423	27	1	this	this	DET
bracis-28423	27	2	system	system	NOUN
bracis-28423	27	3	is	be	AUX
bracis-28423	27	4	restricted	restrict	VERB
bracis-28423	27	5	and	and	CCONJ
bracis-28423	27	6	stores	store	NOUN
bracis-28423	27	7	competence	competence	NOUN
bracis-28423	27	8	levels	level	NOUN
bracis-28423	27	9	in	in	ADP
bracis-28423	27	10	several	several	ADJ
bracis-28423	27	11	areas	area	NOUN
bracis-28423	27	12	–	–	PUNCT
bracis-28423	27	13	such	such	ADJ
bracis-28423	27	14	as	as	ADP
bracis-28423	27	15	public	public	ADJ
bracis-28423	27	16	administration	administration	NOUN
bracis-28423	27	17	,	,	PUNCT
bracis-28423	27	18	research	research	NOUN
bracis-28423	27	19	,	,	PUNCT
bracis-28423	27	20	informatics	informatic	NOUN
bracis-28423	27	21	,	,	PUNCT
bracis-28423	27	22	among	among	ADP
bracis-28423	27	23	others	other	NOUN
bracis-28423	27	24	–	–	PUNCT
bracis-28423	27	25	of	of	ADP
bracis-28423	27	26	all	all	DET
bracis-28423	27	27	dcta	dcta	NOUN
bracis-28423	27	28	’s	’s	PART
bracis-28423	27	29	employees	employee	NOUN
bracis-28423	27	30	.	.	PUNCT
bracis-28423	28	1	dcta	dcta	PROPN
bracis-28423	28	2	’s	’s	PART
bracis-28423	28	3	people	people	NOUN
bracis-28423	28	4	management	management	NOUN
bracis-28423	28	5	sector	sector	NOUN
bracis-28423	28	6	uses	use	VERB
bracis-28423	28	7	the	the	DET
bracis-28423	28	8	stored	store	VERB
bracis-28423	28	9	information	information	NOUN
bracis-28423	28	10	to	to	PART
bracis-28423	28	11	monitor	monitor	VERB
bracis-28423	28	12	the	the	DET
bracis-28423	28	13	development	development	NOUN
bracis-28423	28	14	of	of	ADP
bracis-28423	28	15	the	the	DET
bracis-28423	28	16	skills	skill	NOUN
bracis-28423	28	17	of	of	ADP
bracis-28423	28	18	the	the	DET
bracis-28423	28	19	workforce	workforce	NOUN
bracis-28423	28	20	.	.	PUNCT
bracis-28423	29	1	thus	thus	ADV
bracis-28423	29	2	,	,	PUNCT
bracis-28423	29	3	this	this	DET
bracis-28423	29	4	article	article	NOUN
bracis-28423	29	5	aims	aim	VERB
bracis-28423	29	6	to	to	PART
bracis-28423	29	7	propose	propose	VERB
bracis-28423	29	8	an	an	DET
bracis-28423	29	9	index	index	NOUN
bracis-28423	29	10	that	that	PRON
bracis-28423	29	11	suggests	suggest	VERB
bracis-28423	29	12	the	the	DET
bracis-28423	29	13	most	most	ADV
bracis-28423	29	14	appropriate	appropriate	ADJ
bracis-28423	29	15	number	number	NOUN
bracis-28423	29	16	of	of	ADP
bracis-28423	29	17	clusters	cluster	NOUN
bracis-28423	29	18	based	base	VERB
bracis-28423	29	19	on	on	ADP
bracis-28423	29	20	the	the	DET
bracis-28423	29	21	semantic	semantic	ADJ
bracis-28423	29	22	description	description	NOUN
bracis-28423	29	23	potential	potential	NOUN
bracis-28423	29	24	,	,	PUNCT
bracis-28423	29	25	for	for	ADP
bracis-28423	29	26	applications	application	NOUN
bracis-28423	29	27	in	in	ADP
bracis-28423	29	28	categorical	categorical	ADJ
bracis-28423	29	29	data	data	NOUN
bracis-28423	29	30	sets	set	NOUN
bracis-28423	29	31	in	in	ADP
bracis-28423	29	32	binary	binary	ADJ
bracis-28423	29	33	form	form	NOUN
bracis-28423	29	34	.	.	PUNCT
bracis-28423	30	1	although	although	SCONJ
bracis-28423	30	2	the	the	DET
bracis-28423	30	3	proposal	proposal	NOUN
bracis-28423	30	4	is	be	AUX
bracis-28423	30	5	initially	initially	ADV
bracis-28423	30	6	focused	focus	VERB
bracis-28423	30	7	on	on	ADP
bracis-28423	30	8	a	a	DET
bracis-28423	30	9	specific	specific	ADJ
bracis-28423	30	10	type	type	NOUN
bracis-28423	30	11	of	of	ADP
bracis-28423	30	12	data	datum	NOUN
bracis-28423	30	13	,	,	PUNCT
bracis-28423	30	14	the	the	DET
bracis-28423	30	15	index	index	NOUN
bracis-28423	30	16	can	can	AUX
bracis-28423	30	17	also	also	ADV
bracis-28423	30	18	be	be	AUX
bracis-28423	30	19	applied	apply	VERB
bracis-28423	30	20	to	to	ADP
bracis-28423	30	21	any	any	DET
bracis-28423	30	22	type	type	NOUN
bracis-28423	30	23	of	of	ADP
bracis-28423	30	24	data	datum	NOUN
bracis-28423	30	25	set	set	VERB
bracis-28423	30	26	,	,	PUNCT
bracis-28423	30	27	as	as	ADV
bracis-28423	30	28	long	long	ADV
bracis-28423	30	29	as	as	SCONJ
bracis-28423	30	30	the	the	DET
bracis-28423	30	31	features	feature	NOUN
bracis-28423	30	32	are	be	AUX
bracis-28423	30	33	transformed	transform	VERB
bracis-28423	30	34	into	into	ADP
bracis-28423	30	35	the	the	DET
bracis-28423	30	36	categorical	categorical	ADJ
bracis-28423	30	37	type	type	NOUN
bracis-28423	30	38	 	 	SPACE
bracis-28423	31	1	[	[	X
bracis-28423	31	2	21	21	NUM
bracis-28423	31	3	]	]	PUNCT
bracis-28423	31	4	.	.	PUNCT
bracis-28423	32	1	in	in	ADP
bracis-28423	32	2	addition	addition	NOUN
bracis-28423	32	3	to	to	ADP
bracis-28423	32	4	the	the	DET
bracis-28423	32	5	potential	potential	ADJ
bracis-28423	32	6	application	application	NOUN
bracis-28423	32	7	in	in	ADP
bracis-28423	32	8	different	different	ADJ
bracis-28423	32	9	types	type	NOUN
bracis-28423	32	10	of	of	ADP
bracis-28423	32	11	data	datum	NOUN
bracis-28423	32	12	sets	set	NOUN
bracis-28423	32	13	,	,	PUNCT
bracis-28423	32	14	the	the	DET
bracis-28423	32	15	index	index	NOUN
bracis-28423	32	16	can	can	AUX
bracis-28423	32	17	also	also	ADV
bracis-28423	32	18	be	be	AUX
bracis-28423	32	19	used	use	VERB
bracis-28423	32	20	to	to	PART
bracis-28423	32	21	compare	compare	VERB
bracis-28423	32	22	the	the	DET
bracis-28423	32	23	quality	quality	NOUN
bracis-28423	32	24	of	of	ADP
bracis-28423	32	25	different	different	ADJ
bracis-28423	32	26	partitions	partition	NOUN
bracis-28423	32	27	;	;	PUNCT
bracis-28423	32	28	it	it	PRON
bracis-28423	32	29	is	be	AUX
bracis-28423	32	30	independent	independent	ADJ
bracis-28423	32	31	of	of	ADP
bracis-28423	32	32	distance	distance	NOUN
bracis-28423	32	33	metrics	metric	NOUN
bracis-28423	32	34	and	and	CCONJ
bracis-28423	32	35	has	have	VERB
bracis-28423	32	36	significant	significant	ADJ
bracis-28423	32	37	performance	performance	NOUN
bracis-28423	32	38	when	when	SCONJ
bracis-28423	32	39	applied	apply	VERB
bracis-28423	32	40	to	to	ADP
bracis-28423	32	41	competency	competency	NOUN
bracis-28423	32	42	-	-	PUNCT
bracis-28423	32	43	based	base	VERB
bracis-28423	32	44	data	data	NOUN
bracis-28423	32	45	sets	set	NOUN
bracis-28423	32	46	,	,	PUNCT
bracis-28423	32	47	where	where	SCONJ
bracis-28423	32	48	data	data	NOUN
bracis-28423	32	49	points	point	NOUN
bracis-28423	32	50	have	have	VERB
bracis-28423	32	51	features	feature	NOUN
bracis-28423	32	52	(	(	PUNCT
bracis-28423	32	53	competences	competence	NOUN
bracis-28423	32	54	)	)	PUNCT
bracis-28423	32	55	common	common	ADJ
bracis-28423	32	56	to	to	ADP
bracis-28423	32	57	each	each	DET
bracis-28423	32	58	other	other	ADJ
bracis-28423	32	59	.	.	PUNCT
bracis-28423	33	1	2	2	NUM
bracis-28423	33	2	related	relate	VERB
bracis-28423	33	3	works	work	NOUN
bracis-28423	33	4	in	in	ADP
bracis-28423	33	5	this	this	DET
bracis-28423	33	6	section	section	NOUN
bracis-28423	33	7	,	,	PUNCT
bracis-28423	33	8	we	we	PRON
bracis-28423	33	9	discuss	discuss	VERB
bracis-28423	33	10	various	various	ADJ
bracis-28423	33	11	popular	popular	ADJ
bracis-28423	33	12	cvis	cvis	NOUN
bracis-28423	33	13	using	use	VERB
bracis-28423	33	14	different	different	ADJ
bracis-28423	33	15	approaches	approach	NOUN
bracis-28423	33	16	to	to	PART
bracis-28423	33	17	determine	determine	VERB
bracis-28423	33	18	how	how	SCONJ
bracis-28423	33	19	good	good	ADJ
bracis-28423	33	20	a	a	DET
bracis-28423	33	21	particular	particular	ADJ
bracis-28423	33	22	clustering	clustering	NOUN
bracis-28423	33	23	is	be	AUX
bracis-28423	33	24	.	.	PUNCT
bracis-28423	34	1	this	this	DET
bracis-28423	34	2	variety	variety	NOUN
bracis-28423	34	3	,	,	PUNCT
bracis-28423	34	4	we	we	PRON
bracis-28423	34	5	think	think	VERB
bracis-28423	34	6	,	,	PUNCT
bracis-28423	34	7	ensures	ensure	VERB
bracis-28423	34	8	we	we	PRON
bracis-28423	34	9	have	have	VERB
bracis-28423	34	10	a	a	DET
bracis-28423	34	11	solid	solid	ADJ
bracis-28423	34	12	set	set	NOUN
bracis-28423	34	13	of	of	ADP
bracis-28423	34	14	cvis	cvis	NOUN
bracis-28423	34	15	to	to	PART
bracis-28423	34	16	compare	compare	VERB
bracis-28423	34	17	our	our	PRON
bracis-28423	34	18	proposed	propose	VERB
bracis-28423	34	19	method	method	NOUN
bracis-28423	34	20	against	against	ADP
bracis-28423	34	21	(	(	PUNCT
bracis-28423	34	22	for	for	ADP
bracis-28423	34	23	the	the	DET
bracis-28423	34	24	actual	actual	ADJ
bracis-28423	34	25	comparison	comparison	NOUN
bracis-28423	34	26	,	,	PUNCT
bracis-28423	34	27	see	see	VERB
bracis-28423	34	28	sect	sect	NOUN
bracis-28423	34	29	.	.	PUNCT
bracis-28423	34	30	 	 	SPACE
bracis-28423	34	31	6	6	NUM
bracis-28423	34	32	)	)	PUNCT
bracis-28423	34	33	.	.	PUNCT
bracis-28423	35	1	average	average	ADJ
bracis-28423	35	2	silhouette	silhouette	NOUN
bracis-28423	35	3	width	width	NOUN
bracis-28423	35	4	(	(	PUNCT
bracis-28423	35	5	asw	asw	PROPN
bracis-28423	35	6	)	)	PUNCT
bracis-28423	35	7	 	 	SPACE
bracis-28423	36	1	[	[	X
bracis-28423	36	2	17	17	NUM
bracis-28423	36	3	]	]	PUNCT
bracis-28423	36	4	the	the	DET
bracis-28423	36	5	silhouette	silhouette	NOUN
bracis-28423	36	6	width	width	NOUN
bracis-28423	36	7	index	index	NOUN
bracis-28423	36	8	scores	score	NOUN
bracis-28423	36	9	how	how	SCONJ
bracis-28423	36	10	well	well	ADV
bracis-28423	36	11	a	a	DET
bracis-28423	36	12	particular	particular	ADJ
bracis-28423	36	13	data	data	NOUN
bracis-28423	36	14	point	point	NOUN
bracis-28423	36	15	is	be	AUX
bracis-28423	36	16	clustered	cluster	VERB
bracis-28423	36	17	based	base	VERB
bracis-28423	36	18	on	on	ADP
bracis-28423	36	19	cohesion	cohesion	NOUN
bracis-28423	36	20	(	(	PUNCT
bracis-28423	36	21	the	the	DET
bracis-28423	36	22	average	average	ADJ
bracis-28423	36	23	within	within	ADJ
bracis-28423	36	24	-	-	PUNCT
bracis-28423	36	25	cluster	cluster	NOUN
bracis-28423	36	26	distance	distance	NOUN
bracis-28423	36	27	)	)	PUNCT
bracis-28423	36	28	and	and	CCONJ
bracis-28423	36	29	separation	separation	NOUN
bracis-28423	36	30	(	(	PUNCT
bracis-28423	36	31	how	how	SCONJ
bracis-28423	36	32	far	far	ADV
bracis-28423	36	33	clusters	cluster	NOUN
bracis-28423	36	34	are	be	AUX
bracis-28423	36	35	from	from	ADP
bracis-28423	36	36	each	each	DET
bracis-28423	36	37	other	other	ADJ
bracis-28423	36	38	)	)	PUNCT
bracis-28423	36	39	.	.	PUNCT
bracis-28423	37	1	let	let	AUX
bracis-28423	37	2	\(x_i\	\(x_i\	NOUN
bracis-28423	37	3	)	)	PUNCT
bracis-28423	37	4	be	be	AUX
bracis-28423	37	5	a	a	DET
bracis-28423	37	6	data	data	NOUN
bracis-28423	37	7	point	point	NOUN
bracis-28423	37	8	in	in	ADP
bracis-28423	37	9	cluster	cluster	NOUN
bracis-28423	37	10	\(s_l\	\(s_l\	PROPN
bracis-28423	37	11	)	)	PUNCT
bracis-28423	37	12	.	.	PUNCT
bracis-28423	38	1	then	then	ADV
bracis-28423	38	2	,	,	PUNCT
bracis-28423	38	3	we	we	PRON
bracis-28423	38	4	can	can	AUX
bracis-28423	38	5	calculate	calculate	VERB
bracis-28423	38	6	the	the	DET
bracis-28423	38	7	cohesion	cohesion	NOUN
bracis-28423	38	8	of	of	ADP
bracis-28423	38	9	\(x_i\	\(x_i\	NOUN
bracis-28423	38	10	)	)	PUNCT
bracis-28423	38	11	with	with	ADP
bracis-28423	38	12	$	$	SYM
bracis-28423	38	13	$	$	SYM
bracis-28423	38	14	\begin{aligned	\begin{aligne	VERB
bracis-28423	38	15	}	}	PUNCT
bracis-28423	38	16	a(x_i	a(x_i	PROPN
bracis-28423	38	17	)	)	PUNCT
bracis-28423	38	18	=	=	SYM
bracis-28423	38	19	\frac{1}{n_{s_l	\frac{1}{n_{s_l	PROPN
bracis-28423	38	20	}	}	PUNCT
bracis-28423	38	21	}	}	PUNCT
bracis-28423	38	22	\sum	\sum	NOUN
bracis-28423	38	23	_	_	PUNCT
bracis-28423	38	24	{	{	PUNCT
bracis-28423	38	25	x_j	x_j	PROPN
bracis-28423	38	26	\in	\in	PROPN
bracis-28423	38	27	s_l	s_l	PROPN
bracis-28423	38	28	,	,	PUNCT
bracis-28423	38	29	i\ne	i\ne	PROPN
bracis-28423	38	30	j	j	PROPN
bracis-28423	38	31	}	}	PUNCT
bracis-28423	38	32	d(x_i	d(x_i	PROPN
bracis-28423	38	33	,	,	PUNCT
bracis-28423	38	34	x_j	x_j	NOUN
bracis-28423	38	35	)	)	PUNCT
bracis-28423	38	36	,	,	PUNCT
bracis-28423	38	37	\end{aligned}$$	\end{aligned}$$	NOUN
bracis-28423	38	38	and	and	CCONJ
bracis-28423	38	39	its	its	PRON
bracis-28423	38	40	cluster	cluster	NOUN
bracis-28423	38	41	separation	separation	NOUN
bracis-28423	38	42	with	with	ADP
bracis-28423	38	43	$	$	SYM
bracis-28423	38	44	$	$	SYM
bracis-28423	38	45	\begin{aligned	\begin{aligne	VERB
bracis-28423	38	46	}	}	PUNCT
bracis-28423	38	47	b(x_i	b(x_i	NOUN
bracis-28423	38	48	)	)	PUNCT
bracis-28423	38	49	=	=	VERB
bracis-28423	38	50	\min	\min	NOUN
bracis-28423	38	51	_	_	PUNCT
bracis-28423	38	52	{	{	PUNCT
bracis-28423	38	53	s_t	s_t	X
bracis-28423	38	54	\in	\in	PROPN
bracis-28423	38	55	s	s	PROPN
bracis-28423	38	56	,	,	PUNCT
bracis-28423	38	57	t\ne	t\ne	PROPN
bracis-28423	38	58	l	l	NOUN
bracis-28423	38	59	}	}	PUNCT
bracis-28423	38	60	\biggl	\biggl	PROPN
bracis-28423	38	61	\{\frac{1}{n_{s_t}}\sum	\{\frac{1}{n_{s_t}}\sum	VERB
bracis-28423	38	62	_	_	PRON
bracis-28423	38	63	{	{	PUNCT
bracis-28423	38	64	x_j	x_j	PUNCT
bracis-28423	38	65	\in	\in	PROPN
bracis-28423	38	66	s_t	s_t	PUNCT
bracis-28423	38	67	}	}	PUNCT
bracis-28423	38	68	d(x_i	d(x_i	PROPN
bracis-28423	38	69	,	,	PUNCT
bracis-28423	38	70	x_j)\biggr	x_j)\biggr	NOUN
bracis-28423	38	71	\	\	PROPN
bracis-28423	38	72	}	}	PUNCT
bracis-28423	38	73	.	.	PUNCT
bracis-28423	39	1	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	40	1	thus	thus	ADV
bracis-28423	40	2	,	,	PUNCT
bracis-28423	40	3	the	the	DET
bracis-28423	40	4	asw	asw	PROPN
bracis-28423	40	5	of	of	ADP
bracis-28423	40	6	a	a	DET
bracis-28423	40	7	data	data	NOUN
bracis-28423	40	8	set	set	VERB
bracis-28423	40	9	x	x	PUNCT
bracis-28423	40	10	under	under	ADP
bracis-28423	40	11	a	a	DET
bracis-28423	40	12	partition	partition	NOUN
bracis-28423	40	13	s	s	PART
bracis-28423	40	14	is	be	AUX
bracis-28423	40	15	given	give	VERB
bracis-28423	40	16	by	by	ADP
bracis-28423	40	17	$	$	SYM
bracis-28423	40	18	$	$	SYM
bracis-28423	40	19	\begin{aligned	\begin{aligne	VERB
bracis-28423	40	20	}	}	PUNCT
bracis-28423	40	21	\text	\text	ADV
bracis-28423	40	22	{	{	PUNCT
bracis-28423	40	23	asw}(x	asw}(x	X
bracis-28423	40	24	,	,	PUNCT
bracis-28423	40	25	s	s	PART
bracis-28423	40	26	)	)	PUNCT
bracis-28423	40	27	=	=	PUNCT
bracis-28423	40	28	\frac{1}{n}\sum	\frac{1}{n}\sum	VERB
bracis-28423	40	29	_	_	PRON
bracis-28423	40	30	{	{	PUNCT
bracis-28423	40	31	x_i	x_i	PUNCT
bracis-28423	40	32	\in	\in	PROPN
bracis-28423	40	33	x}\frac{b(x_i	x}\frac{b(x_i	PROPN
bracis-28423	40	34	)	)	PUNCT
bracis-28423	40	35	a(x_i)}{\max	a(x_i)}{\max	NOUN
bracis-28423	40	36	\left\	\left\	PROPN
bracis-28423	40	37	{	{	PUNCT
bracis-28423	40	38	a(x_i	a(x_i	PROPN
bracis-28423	40	39	)	)	PUNCT
bracis-28423	40	40	,	,	PUNCT
bracis-28423	40	41	b(x_i	b(x_i	NOUN
bracis-28423	40	42	)	)	PUNCT
bracis-28423	40	43	\right\	\right\	ADV
bracis-28423	40	44	}	}	PUNCT
bracis-28423	40	45	}	}	PUNCT
bracis-28423	40	46	.	.	PUNCT
bracis-28423	41	1	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-28423	41	2	notice	notice	VERB
bracis-28423	41	3	that	that	SCONJ
bracis-28423	41	4	\(-1	\(-1	PROPN
bracis-28423	41	5	\le	\le	PROPN
bracis-28423	41	6	asw(x	asw(x	PROPN
bracis-28423	41	7	,	,	PUNCT
bracis-28423	41	8	s	s	PART
bracis-28423	41	9	)	)	PUNCT
bracis-28423	41	10	\le	\le	NOUN
bracis-28423	41	11	1\	1\	NUM
bracis-28423	41	12	)	)	PUNCT
bracis-28423	41	13	,	,	PUNCT
bracis-28423	41	14	where	where	SCONJ
bracis-28423	41	15	a	a	DET
bracis-28423	41	16	higher	high	ADJ
bracis-28423	41	17	value	value	NOUN
bracis-28423	41	18	indicates	indicate	VERB
bracis-28423	41	19	a	a	DET
bracis-28423	41	20	better	well	ADJ
bracis-28423	41	21	partition	partition	NOUN
bracis-28423	41	22	in	in	ADP
bracis-28423	41	23	terms	term	NOUN
bracis-28423	41	24	of	of	ADP
bracis-28423	41	25	cohesion	cohesion	NOUN
bracis-28423	41	26	and	and	CCONJ
bracis-28423	41	27	separation	separation	NOUN
bracis-28423	41	28	.	.	PUNCT
bracis-28423	42	1	the	the	DET
bracis-28423	42	2	literature	literature	NOUN
bracis-28423	42	3	certainly	certainly	ADV
bracis-28423	42	4	indicates	indicate	VERB
bracis-28423	42	5	there	there	PRON
bracis-28423	42	6	is	be	VERB
bracis-28423	42	7	no	no	DET
bracis-28423	42	8	index	index	NOUN
bracis-28423	42	9	that	that	PRON
bracis-28423	42	10	is	be	AUX
bracis-28423	42	11	the	the	DET
bracis-28423	42	12	best	good	ADJ
bracis-28423	42	13	in	in	ADP
bracis-28423	42	14	all	all	DET
bracis-28423	42	15	cases	case	NOUN
bracis-28423	42	16	,	,	PUNCT
bracis-28423	42	17	but	but	CCONJ
bracis-28423	42	18	the	the	DET
bracis-28423	42	19	asw	asw	PROPN
bracis-28423	42	20	has	have	AUX
bracis-28423	42	21	proven	prove	VERB
bracis-28423	42	22	to	to	PART
bracis-28423	42	23	be	be	AUX
bracis-28423	42	24	particularly	particularly	ADV
bracis-28423	42	25	successful	successful	ADJ
bracis-28423	42	26	(	(	PUNCT
bracis-28423	42	27	for	for	ADP
bracis-28423	42	28	a	a	DET
bracis-28423	42	29	comprehensive	comprehensive	ADJ
bracis-28423	42	30	comparison	comparison	NOUN
bracis-28423	42	31	,	,	PUNCT
bracis-28423	42	32	see	see	VERB
bracis-28423	42	33	[	[	X
bracis-28423	42	34	2	2	NUM
bracis-28423	42	35	]	]	NUM
bracis-28423	42	36	)	)	PUNCT
bracis-28423	42	37	.	.	PUNCT
bracis-28423	43	1	calinski	calinski	PROPN
bracis-28423	43	2	-	-	PUNCT
bracis-28423	43	3	harabasz	harabasz	PROPN
bracis-28423	43	4	(	(	PUNCT
bracis-28423	43	5	ch	ch	NOUN
bracis-28423	43	6	)	)	PUNCT
bracis-28423	43	7	 	 	SPACE
bracis-28423	44	1	[	[	X
bracis-28423	44	2	3	3	X
bracis-28423	44	3	]	]	PUNCT
bracis-28423	44	4	the	the	DET
bracis-28423	44	5	calinski	calinski	NOUN
bracis-28423	44	6	-	-	PUNCT
bracis-28423	44	7	harabasz	harabasz	NOUN
bracis-28423	44	8	index	index	NOUN
bracis-28423	44	9	is	be	AUX
bracis-28423	44	10	also	also	ADV
bracis-28423	44	11	rather	rather	ADV
bracis-28423	44	12	popular	popular	ADJ
bracis-28423	44	13	and	and	CCONJ
bracis-28423	44	14	very	very	ADV
bracis-28423	44	15	much	much	ADV
bracis-28423	44	16	like	like	INTJ
bracis-28423	44	17	asw	asw	PROPN
bracis-28423	44	18	it	it	PRON
bracis-28423	44	19	can	can	AUX
bracis-28423	44	20	be	be	AUX
bracis-28423	44	21	easily	easily	ADV
bracis-28423	44	22	found	find	VERB
bracis-28423	44	23	in	in	ADP
bracis-28423	44	24	many	many	ADJ
bracis-28423	44	25	software	software	NOUN
bracis-28423	44	26	packages	package	NOUN
bracis-28423	44	27	used	use	VERB
bracis-28423	44	28	in	in	ADP
bracis-28423	44	29	data	datum	NOUN
bracis-28423	44	30	analysis	analysis	NOUN
bracis-28423	44	31	,	,	PUNCT
bracis-28423	44	32	including	include	VERB
bracis-28423	44	33	matlab	matlab	PROPN
bracis-28423	44	34	[	[	X
bracis-28423	44	35	10	10	NUM
bracis-28423	44	36	]	]	PUNCT
bracis-28423	44	37	,	,	PUNCT
bracis-28423	44	38	scikit	scikit	NOUN
bracis-28423	44	39	-	-	PUNCT
bracis-28423	44	40	learn	learn	VERB
bracis-28423	44	41	[	[	X
bracis-28423	44	42	14	14	NUM
bracis-28423	44	43	]	]	PUNCT
bracis-28423	44	44	,	,	PUNCT
bracis-28423	44	45	and	and	CCONJ
bracis-28423	44	46	r	r	X
bracis-28423	45	1	[	[	X
bracis-28423	45	2	15	15	NUM
bracis-28423	45	3	]	]	PUNCT
bracis-28423	45	4	.	.	PUNCT
bracis-28423	46	1	ch	ch	NOUN
bracis-28423	46	2	assesses	assess	VERB
bracis-28423	46	3	the	the	DET
bracis-28423	46	4	quality	quality	NOUN
bracis-28423	46	5	of	of	ADP
bracis-28423	46	6	a	a	DET
bracis-28423	46	7	particular	particular	ADJ
bracis-28423	46	8	partition	partition	NOUN
bracis-28423	46	9	based	base	VERB
bracis-28423	46	10	on	on	ADP
bracis-28423	46	11	the	the	DET
bracis-28423	46	12	ratio	ratio	NOUN
bracis-28423	46	13	of	of	ADP
bracis-28423	46	14	the	the	DET
bracis-28423	46	15	between	between	ADP
bracis-28423	46	16	-	-	PUNCT
bracis-28423	46	17	cluster	cluster	NOUN
bracis-28423	46	18	-	-	PUNCT
bracis-28423	46	19	means	mean	NOUN
bracis-28423	46	20	and	and	CCONJ
bracis-28423	46	21	within	within	ADP
bracis-28423	46	22	-	-	PUNCT
bracis-28423	46	23	cluster	cluster	NOUN
bracis-28423	46	24	sum	sum	NOUN
bracis-28423	46	25	of	of	ADP
bracis-28423	46	26	squares	square	NOUN
bracis-28423	46	27	.	.	PUNCT
bracis-28423	47	1	given	give	VERB
bracis-28423	47	2	a	a	DET
bracis-28423	47	3	data	datum	NOUN
bracis-28423	47	4	set	set	VERB
bracis-28423	47	5	x	x	PUNCT
bracis-28423	47	6	and	and	CCONJ
bracis-28423	47	7	clustering	cluster	VERB
bracis-28423	47	8	s	s	PART
bracis-28423	47	9	,	,	PUNCT
bracis-28423	47	10	we	we	PRON
bracis-28423	47	11	have	have	VERB
bracis-28423	47	12	that	that	SCONJ
bracis-28423	47	13	$	$	SYM
bracis-28423	47	14	$	$	SYM
bracis-28423	47	15	\begin{aligned	\begin{aligne	VERB
bracis-28423	47	16	}	}	PUNCT
bracis-28423	47	17	ch(s	ch(	NOUN
bracis-28423	47	18	)	)	PUNCT
bracis-28423	47	19	=	=	SYM
bracis-28423	47	20	\frac{(t	\frac{(t	NUM
bracis-28423	47	21	-	-	PUNCT
bracis-28423	47	22	w_k)/(k-1)}{w_k/(n	w_k)/(k-1)}{w_k/(n	NOUN
bracis-28423	47	23	-	-	PUNCT
bracis-28423	47	24	k	k	NOUN
bracis-28423	47	25	)	)	PUNCT
bracis-28423	47	26	}	}	PUNCT
bracis-28423	47	27	,	,	PUNCT
bracis-28423	47	28	\end{aligned}$$	\end{aligned}$$	VERB
bracis-28423	47	29	where	where	SCONJ
bracis-28423	47	30	t	t	PROPN
bracis-28423	47	31	is	be	AUX
bracis-28423	47	32	the	the	DET
bracis-28423	47	33	data	data	NOUN
bracis-28423	47	34	scatter	scatter	NOUN
bracis-28423	47	35	\(t=\sum	\(t=\sum	PROPN
bracis-28423	47	36	_	_	PUNCT
bracis-28423	47	37	{	{	PUNCT
bracis-28423	47	38	i=1}^n	i=1}^n	X
bracis-28423	47	39	\sum	\sum	NOUN
bracis-28423	47	40	_	_	PUNCT
bracis-28423	47	41	{	{	PUNCT
bracis-28423	47	42	v=1}^m	v=1}^m	X
bracis-28423	47	43	(	(	PUNCT
bracis-28423	47	44	x_{iv	x_{iv	PROPN
bracis-28423	47	45	}	}	PUNCT
bracis-28423	47	46	\bar{x}_v)^2\	\bar{x}_v)^2\	PROPN
bracis-28423	47	47	)	)	PUNCT
bracis-28423	47	48	,	,	PUNCT
bracis-28423	47	49	and	and	CCONJ
bracis-28423	47	50	\(\bar{x}_v\	\(\bar{x}_v\	ADV
bracis-28423	47	51	)	)	PUNCT
bracis-28423	47	52	is	be	AUX
bracis-28423	47	53	the	the	DET
bracis-28423	47	54	mean	mean	NOUN
bracis-28423	47	55	of	of	ADP
bracis-28423	47	56	feature	feature	NOUN
bracis-28423	47	57	v	v	NOUN
bracis-28423	47	58	over	over	ADP
bracis-28423	47	59	all	all	DET
bracis-28423	47	60	\(x_i	\(x_i	PROPN
bracis-28423	47	61	\in	\in	PROPN
bracis-28423	47	62	x\	x\	NOUN
bracis-28423	47	63	)	)	PUNCT
bracis-28423	47	64	.	.	PUNCT
bracis-28423	48	1	the	the	PRON
bracis-28423	48	2	higher	high	ADJ
bracis-28423	48	3	this	this	DET
bracis-28423	48	4	index	index	NOUN
bracis-28423	48	5	value	value	NOUN
bracis-28423	48	6	is	be	AUX
bracis-28423	48	7	,	,	PUNCT
bracis-28423	48	8	the	the	PRON
bracis-28423	48	9	better	well	ADJ
bracis-28423	48	10	the	the	DET
bracis-28423	48	11	clustering	clustering	NOUN
bracis-28423	48	12	is	be	AUX
bracis-28423	48	13	.	.	PUNCT
bracis-28423	49	1	davies	davy	NOUN
bracis-28423	49	2	-	-	PUNCT
bracis-28423	49	3	bouldin	bouldin	NOUN
bracis-28423	49	4	(	(	PUNCT
bracis-28423	49	5	db	db	NOUN
bracis-28423	49	6	)	)	PUNCT
bracis-28423	49	7	 	 	SPACE
bracis-28423	50	1	[	[	X
bracis-28423	50	2	4	4	X
bracis-28423	50	3	]	]	PUNCT
bracis-28423	50	4	the	the	DET
bracis-28423	50	5	davies	davy	NOUN
bracis-28423	50	6	-	-	PUNCT
bracis-28423	50	7	bouldin	bouldin	NOUN
bracis-28423	50	8	index	index	NOUN
bracis-28423	50	9	scores	score	VERB
bracis-28423	50	10	a	a	DET
bracis-28423	50	11	clustering	clustering	NOUN
bracis-28423	50	12	s	s	VERB
bracis-28423	50	13	by	by	ADP
bracis-28423	50	14	computing	compute	VERB
bracis-28423	50	15	the	the	DET
bracis-28423	50	16	cohesion	cohesion	NOUN
bracis-28423	50	17	of	of	ADP
bracis-28423	50	18	each	each	DET
bracis-28423	50	19	cluster	cluster	NOUN
bracis-28423	50	20	\(s_l	\(s_l	PROPN
bracis-28423	50	21	\in	\in	PROPN
bracis-28423	50	22	s\	s\	NOUN
bracis-28423	50	23	)	)	PUNCT
bracis-28423	50	24	as	as	ADP
bracis-28423	50	25	the	the	DET
bracis-28423	50	26	average	average	ADJ
bracis-28423	50	27	distance	distance	NOUN
bracis-28423	50	28	from	from	ADP
bracis-28423	50	29	each	each	DET
bracis-28423	50	30	\(x_i	\(x_i	PROPN
bracis-28423	50	31	\in	\in	PROPN
bracis-28423	50	32	s_l\	s_l\	NOUN
bracis-28423	50	33	)	)	PUNCT
bracis-28423	50	34	and	and	CCONJ
bracis-28423	50	35	\(z_l\	\(z_l\	NOUN
bracis-28423	50	36	)	)	PUNCT
bracis-28423	50	37	(	(	PUNCT
bracis-28423	50	38	the	the	DET
bracis-28423	50	39	centroid	centroid	NOUN
bracis-28423	50	40	of	of	ADP
bracis-28423	50	41	\(s_l\	\(s_l\	PROPN
bracis-28423	50	42	)	)	PUNCT
bracis-28423	50	43	)	)	PUNCT
bracis-28423	50	44	,	,	PUNCT
bracis-28423	50	45	and	and	CCONJ
bracis-28423	50	46	taking	take	VERB
bracis-28423	50	47	into	into	ADP
bracis-28423	50	48	account	account	NOUN
bracis-28423	50	49	the	the	DET
bracis-28423	50	50	pairwise	pairwise	NOUN
bracis-28423	50	51	distance	distance	NOUN
bracis-28423	50	52	between	between	ADP
bracis-28423	50	53	all	all	DET
bracis-28423	50	54	centroids	centroid	NOUN
bracis-28423	50	55	\(z_l	\(z_l	PROPN
bracis-28423	50	56	\in	\in	PROPN
bracis-28423	50	57	z\	z\	PROPN
bracis-28423	50	58	)	)	PUNCT
bracis-28423	50	59	.	.	PUNCT
bracis-28423	51	1	that	that	PRON
bracis-28423	51	2	is	be	AUX
bracis-28423	51	3	,	,	PUNCT
bracis-28423	51	4	one	one	NUM
bracis-28423	51	5	first	first	ADV
bracis-28423	51	6	calculates	calculate	VERB
bracis-28423	51	7	the	the	DET
bracis-28423	51	8	cohesion	cohesion	NOUN
bracis-28423	51	9	for	for	ADP
bracis-28423	51	10	each	each	DET
bracis-28423	51	11	cluster	cluster	NOUN
bracis-28423	51	12	\(s_l	\(s_l	PROPN
bracis-28423	51	13	\in	\in	PROPN
bracis-28423	51	14	s\	s\	NOUN
bracis-28423	51	15	)	)	PUNCT
bracis-28423	51	16	as	as	ADP
bracis-28423	51	17	$	$	SYM
bracis-28423	51	18	$	$	SYM
bracis-28423	51	19	\begin{aligned	\begin{aligne	VERB
bracis-28423	51	20	}	}	PUNCT
bracis-28423	51	21	c(s_l	c(s_l	PROPN
bracis-28423	51	22	)	)	PUNCT
bracis-28423	51	23	=	=	SYM
bracis-28423	51	24	\frac{1}{n_{s_l	\frac{1}{n_{s_l	PROPN
bracis-28423	51	25	}	}	PUNCT
bracis-28423	51	26	}	}	PUNCT
bracis-28423	51	27	\sum	\sum	NOUN
bracis-28423	51	28	_	_	PRON
bracis-28423	51	29	{	{	PUNCT
bracis-28423	51	30	x_i	x_i	PUNCT
bracis-28423	51	31	\in	\in	PROPN
bracis-28423	51	32	s_l	s_l	PROPN
bracis-28423	51	33	}	}	PUNCT
bracis-28423	51	34	d(x_i	d(x_i	PROPN
bracis-28423	51	35	,	,	PUNCT
bracis-28423	51	36	z_l	z_l	NUM
bracis-28423	51	37	)	)	PUNCT
bracis-28423	51	38	,	,	PUNCT
bracis-28423	51	39	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	52	1	and	and	CCONJ
bracis-28423	52	2	then	then	ADV
bracis-28423	52	3	the	the	DET
bracis-28423	52	4	value	value	NOUN
bracis-28423	52	5	of	of	ADP
bracis-28423	52	6	this	this	DET
bracis-28423	52	7	index	index	NOUN
bracis-28423	52	8	is	be	AUX
bracis-28423	52	9	given	give	VERB
bracis-28423	52	10	by	by	ADP
bracis-28423	52	11	$	$	SYM
bracis-28423	52	12	$	$	SYM
bracis-28423	52	13	\begin{aligned	\begin{aligne	VERB
bracis-28423	52	14	}	}	PUNCT
bracis-28423	52	15	\text	\text	ADP
bracis-28423	52	16	{	{	PUNCT
bracis-28423	52	17	db}(s	db}(s	NOUN
bracis-28423	52	18	)	)	PUNCT
bracis-28423	52	19	=	=	SYM
bracis-28423	52	20	\frac{1}{k	\frac{1}{k	NOUN
bracis-28423	52	21	}	}	PUNCT
bracis-28423	52	22	\sum	\sum	NOUN
bracis-28423	53	1	_	_	PUNCT
bracis-28423	53	2	{	{	PUNCT
bracis-28423	53	3	s_l	s_l	SYM
bracis-28423	53	4	\in	\in	PROPN
bracis-28423	53	5	s	s	PART
bracis-28423	53	6	}	}	PUNCT
bracis-28423	53	7	\max	\max	PROPN
bracis-28423	53	8	_	_	PUNCT
bracis-28423	53	9	{	{	PUNCT
bracis-28423	53	10	s_t	s_t	X
bracis-28423	53	11	\in	\in	PROPN
bracis-28423	53	12	s	s	PROPN
bracis-28423	53	13	,	,	PUNCT
bracis-28423	53	14	l\ne	l\ne	PROPN
bracis-28423	53	15	t	t	PROPN
bracis-28423	53	16	}	}	PUNCT
bracis-28423	53	17	\biggr	\biggr	PROPN
bracis-28423	53	18	\	\	PROPN
bracis-28423	53	19	{	{	PUNCT
bracis-28423	53	20	\frac{c(s_l	\frac{c(s_l	PROPN
bracis-28423	53	21	)	)	PUNCT
bracis-28423	54	1	+	+	CCONJ
bracis-28423	54	2	c(s_t)}{d(z_l	c(s_t)}{d(z_l	ADJ
bracis-28423	54	3	,	,	PUNCT
bracis-28423	54	4	z_t	z_t	NUM
bracis-28423	54	5	)	)	PUNCT
bracis-28423	54	6	}	}	PUNCT
bracis-28423	54	7	\biggr	\biggr	ADP
bracis-28423	54	8	\	\	NOUN
bracis-28423	54	9	}	}	PUNCT
bracis-28423	54	10	.	.	PUNCT
bracis-28423	55	1	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	56	1	unlike	unlike	ADP
bracis-28423	56	2	asw	asw	PROPN
bracis-28423	56	3	and	and	CCONJ
bracis-28423	56	4	ch	ch	PROPN
bracis-28423	56	5	,	,	PUNCT
bracis-28423	56	6	a	a	DET
bracis-28423	56	7	low	low	ADJ
bracis-28423	56	8	value	value	NOUN
bracis-28423	56	9	of	of	ADP
bracis-28423	56	10	db	db	PROPN
bracis-28423	56	11	indicates	indicate	VERB
bracis-28423	56	12	a	a	DET
bracis-28423	56	13	good	good	ADJ
bracis-28423	56	14	clustering	clustering	NOUN
bracis-28423	56	15	.	.	PUNCT
bracis-28423	57	1	contiguous	contiguous	ADJ
bracis-28423	57	2	density	density	NOUN
bracis-28423	57	3	region	region	NOUN
bracis-28423	57	4	(	(	PUNCT
bracis-28423	57	5	cdr	cdr	PROPN
bracis-28423	57	6	)	)	PUNCT
bracis-28423	57	7	 	 	SPACE
bracis-28423	58	1	[	[	X
bracis-28423	58	2	16	16	NUM
bracis-28423	58	3	]	]	PUNCT
bracis-28423	58	4	the	the	DET
bracis-28423	58	5	index	index	NOUN
bracis-28423	58	6	is	be	AUX
bracis-28423	58	7	based	base	VERB
bracis-28423	58	8	on	on	ADP
bracis-28423	58	9	the	the	DET
bracis-28423	58	10	uniformity	uniformity	NOUN
bracis-28423	58	11	measure	measure	NOUN
bracis-28423	58	12	of	of	ADP
bracis-28423	58	13	the	the	DET
bracis-28423	58	14	clusters	cluster	NOUN
bracis-28423	58	15	,	,	PUNCT
bracis-28423	58	16	obtained	obtain	VERB
bracis-28423	58	17	from	from	ADP
bracis-28423	58	18	the	the	DET
bracis-28423	58	19	spatial	spatial	ADJ
bracis-28423	58	20	pattern	pattern	NOUN
bracis-28423	58	21	of	of	ADP
bracis-28423	58	22	the	the	DET
bracis-28423	58	23	data	data	NOUN
bracis-28423	58	24	points	point	NOUN
bracis-28423	58	25	and	and	CCONJ
bracis-28423	58	26	the	the	DET
bracis-28423	58	27	local	local	ADJ
bracis-28423	58	28	density	density	NOUN
bracis-28423	58	29	.	.	PUNCT
bracis-28423	59	1	initially	initially	ADV
bracis-28423	59	2	,	,	PUNCT
bracis-28423	59	3	we	we	PRON
bracis-28423	59	4	define	define	VERB
bracis-28423	59	5	the	the	DET
bracis-28423	59	6	local	local	ADJ
bracis-28423	59	7	density	density	NOUN
bracis-28423	59	8	of	of	ADP
bracis-28423	59	9	a	a	DET
bracis-28423	59	10	data	data	NOUN
bracis-28423	59	11	point	point	NOUN
bracis-28423	59	12	\(x_i\	\(x_i\	NOUN
bracis-28423	59	13	)	)	PUNCT
bracis-28423	59	14	in	in	ADP
bracis-28423	59	15	a	a	DET
bracis-28423	59	16	set	set	NOUN
bracis-28423	59	17	of	of	ADP
bracis-28423	59	18	data	datum	NOUN
bracis-28423	59	19	points	point	NOUN
bracis-28423	59	20	x	x	PUNCT
bracis-28423	59	21	as	as	ADP
bracis-28423	59	22	the	the	DET
bracis-28423	59	23	distance	distance	NOUN
bracis-28423	59	24	to	to	ADP
bracis-28423	59	25	the	the	DET
bracis-28423	59	26	nearest	near	ADJ
bracis-28423	59	27	neighbor	neighbor	NOUN
bracis-28423	59	28	\(x_j\	\(x_j\	PROPN
bracis-28423	59	29	)	)	PUNCT
bracis-28423	59	30	,	,	PUNCT
bracis-28423	59	31	which	which	PRON
bracis-28423	59	32	belongs	belong	VERB
bracis-28423	59	33	to	to	ADP
bracis-28423	59	34	the	the	DET
bracis-28423	59	35	same	same	ADJ
bracis-28423	59	36	cluster	cluster	NOUN
bracis-28423	59	37	by	by	ADP
bracis-28423	59	38	the	the	DET
bracis-28423	59	39	equation	equation	NOUN
bracis-28423	59	40	$	$	SYM
bracis-28423	59	41	$	$	SYM
bracis-28423	59	42	\begin{aligned	\begin{aligne	VERB
bracis-28423	59	43	}	}	PUNCT
bracis-28423	59	44	\delta	\delta	PROPN
bracis-28423	59	45	(	(	PUNCT
bracis-28423	59	46	x_i	x_i	SYM
bracis-28423	59	47	)	)	PUNCT
bracis-28423	59	48	=	=	VERB
bracis-28423	60	1	\min	\min	NOUN
bracis-28423	60	2	_	_	PUNCT
bracis-28423	60	3	{	{	PUNCT
bracis-28423	60	4	x_j	x_j	PUNCT
bracis-28423	60	5	\in	\in	PROPN
bracis-28423	60	6	s_l	s_l	PROPN
bracis-28423	60	7	,	,	PUNCT
bracis-28423	60	8	i	i	PROPN
bracis-28423	60	9	\ne	\ne	PROPN
bracis-28423	60	10	j	j	PROPN
bracis-28423	60	11	}	}	PUNCT
bracis-28423	60	12	\left\	\left\	PROPN
bracis-28423	60	13	{	{	PUNCT
bracis-28423	60	14	d(x_i	d(x_i	PROPN
bracis-28423	60	15	,	,	PUNCT
bracis-28423	60	16	x_j	x_j	PRON
bracis-28423	60	17	)	)	PUNCT
bracis-28423	60	18	\right\	\right\	ADJ
bracis-28423	60	19	}	}	PUNCT
bracis-28423	60	20	\text	\text	ADV
bracis-28423	60	21	{	{	PUNCT
bracis-28423	60	22	.	.	PUNCT
bracis-28423	60	23	}	}	PUNCT
bracis-28423	60	24	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	60	25	the	the	DET
bracis-28423	60	26	average	average	ADJ
bracis-28423	60	27	density	density	NOUN
bracis-28423	60	28	of	of	ADP
bracis-28423	60	29	a	a	DET
bracis-28423	60	30	cluster	cluster	NOUN
bracis-28423	60	31	\(s_l\	\(s_l\	PROPN
bracis-28423	60	32	)	)	PUNCT
bracis-28423	60	33	is	be	AUX
bracis-28423	60	34	calculated	calculate	VERB
bracis-28423	60	35	as	as	ADP
bracis-28423	60	36	the	the	DET
bracis-28423	60	37	average	average	NOUN
bracis-28423	60	38	of	of	ADP
bracis-28423	60	39	all	all	DET
bracis-28423	60	40	the	the	DET
bracis-28423	60	41	local	local	ADJ
bracis-28423	60	42	densities	density	NOUN
bracis-28423	60	43	of	of	ADP
bracis-28423	60	44	the	the	DET
bracis-28423	60	45	cluster	cluster	NOUN
bracis-28423	60	46	,	,	PUNCT
bracis-28423	60	47	defined	define	VERB
bracis-28423	60	48	as	as	ADP
bracis-28423	60	49	$	$	SYM
bracis-28423	60	50	$	$	SYM
bracis-28423	60	51	\begin{aligned	\begin{aligne	VERB
bracis-28423	60	52	}	}	PUNCT
bracis-28423	60	53	\bar{\delta	\bar{\delta	NOUN
bracis-28423	60	54	}	}	PUNCT
bracis-28423	60	55	(	(	PUNCT
bracis-28423	60	56	s_l	s_l	NUM
bracis-28423	60	57	)	)	PUNCT
bracis-28423	60	58	=	=	SYM
bracis-28423	61	1	\frac{1}{n_{s_l}}\sum	\frac{1}{n_{s_l}}\sum	NOUN
bracis-28423	61	2	_	_	PRON
bracis-28423	61	3	{	{	PUNCT
bracis-28423	61	4	x_i	x_i	PUNCT
bracis-28423	61	5	\in	\in	PROPN
bracis-28423	61	6	s_l	s_l	PROPN
bracis-28423	61	7	}	}	PUNCT
bracis-28423	61	8	\delta	\delta	PROPN
bracis-28423	61	9	(	(	PUNCT
bracis-28423	61	10	x_i	x_i	SYM
bracis-28423	61	11	)	)	PUNCT
bracis-28423	62	1	\text	\text	ADP
bracis-28423	62	2	{	{	PUNCT
bracis-28423	62	3	.	.	PUNCT
bracis-28423	62	4	}	}	PUNCT
bracis-28423	62	5	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	62	6	thus	thus	ADV
bracis-28423	62	7	,	,	PUNCT
bracis-28423	62	8	the	the	DET
bracis-28423	62	9	uniformity	uniformity	NOUN
bracis-28423	62	10	of	of	ADP
bracis-28423	62	11	each	each	DET
bracis-28423	62	12	cluster	cluster	NOUN
bracis-28423	62	13	is	be	AUX
bracis-28423	62	14	calculated	calculate	VERB
bracis-28423	62	15	as	as	ADP
bracis-28423	62	16	the	the	DET
bracis-28423	62	17	difference	difference	NOUN
bracis-28423	62	18	between	between	ADP
bracis-28423	62	19	the	the	DET
bracis-28423	62	20	local	local	ADJ
bracis-28423	62	21	density	density	NOUN
bracis-28423	62	22	of	of	ADP
bracis-28423	62	23	the	the	DET
bracis-28423	62	24	cluster	cluster	NOUN
bracis-28423	62	25	and	and	CCONJ
bracis-28423	62	26	the	the	DET
bracis-28423	62	27	average	average	NOUN
bracis-28423	62	28	of	of	ADP
bracis-28423	62	29	all	all	DET
bracis-28423	62	30	the	the	DET
bracis-28423	62	31	local	local	ADJ
bracis-28423	62	32	densities	density	NOUN
bracis-28423	62	33	of	of	ADP
bracis-28423	62	34	the	the	DET
bracis-28423	62	35	cluster	cluster	NOUN
bracis-28423	62	36	.	.	PUNCT
bracis-28423	63	1	it	it	PRON
bracis-28423	63	2	measures	measure	VERB
bracis-28423	63	3	the	the	DET
bracis-28423	63	4	degree	degree	NOUN
bracis-28423	63	5	of	of	ADP
bracis-28423	63	6	local	local	ADJ
bracis-28423	63	7	density	density	NOUN
bracis-28423	63	8	variation	variation	NOUN
bracis-28423	63	9	within	within	ADP
bracis-28423	63	10	a	a	DET
bracis-28423	63	11	cluster	cluster	NOUN
bracis-28423	63	12	.	.	PUNCT
bracis-28423	64	1	given	give	VERB
bracis-28423	64	2	a	a	DET
bracis-28423	64	3	cluster	cluster	NOUN
bracis-28423	64	4	,	,	PUNCT
bracis-28423	64	5	its	its	PRON
bracis-28423	64	6	uniformity	uniformity	NOUN
bracis-28423	64	7	is	be	AUX
bracis-28423	64	8	defined	define	VERB
bracis-28423	64	9	by	by	ADP
bracis-28423	64	10	$	$	SYM
bracis-28423	64	11	$	$	SYM
bracis-28423	64	12	\begin{aligned	\begin{aligne	VERB
bracis-28423	64	13	}	}	PUNCT
bracis-28423	64	14	\upsilon	\upsilon	ADV
bracis-28423	64	15	(	(	PUNCT
bracis-28423	64	16	s_l	s_l	NUM
bracis-28423	64	17	)	)	PUNCT
bracis-28423	64	18	=	=	PRON
bracis-28423	64	19	\frac{1}{\bar{\delta	\frac{1}{\bar{\delta	NOUN
bracis-28423	64	20	}	}	PUNCT
bracis-28423	64	21	(	(	PUNCT
bracis-28423	64	22	s_l	s_l	NUM
bracis-28423	64	23	)	)	PUNCT
bracis-28423	64	24	}	}	PUNCT
bracis-28423	64	25	\sum	\sum	NOUN
bracis-28423	64	26	_	_	PRON
bracis-28423	64	27	{	{	PUNCT
bracis-28423	64	28	x_i	x_i	PUNCT
bracis-28423	64	29	\in	\in	PROPN
bracis-28423	64	30	s_l	s_l	PROPN
bracis-28423	64	31	}	}	PUNCT
bracis-28423	64	32	|\delta	|\delta	X
bracis-28423	64	33	(	(	PUNCT
bracis-28423	64	34	x_i	x_i	SYM
bracis-28423	64	35	)	)	PUNCT
bracis-28423	64	36	\bar{\delta	\bar{\delta	NOUN
bracis-28423	64	37	}	}	PUNCT
bracis-28423	64	38	(	(	PUNCT
bracis-28423	64	39	s_l)|	s_l)|	NOUN
bracis-28423	64	40	\text	\text	PROPN
bracis-28423	64	41	{	{	PUNCT
bracis-28423	64	42	,	,	PUNCT
bracis-28423	64	43	}	}	PUNCT
bracis-28423	64	44	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	64	45	for	for	ADP
bracis-28423	64	46	values	value	NOUN
bracis-28423	64	47	of	of	ADP
bracis-28423	64	48	\(n_{s_l}\	\(n_{s_l}\	NOUN
bracis-28423	64	49	)	)	PUNCT
bracis-28423	64	50	greater	great	ADJ
bracis-28423	64	51	than	than	ADP
bracis-28423	64	52	1	1	NUM
bracis-28423	64	53	,	,	PUNCT
bracis-28423	64	54	otherwise	otherwise	ADV
bracis-28423	64	55	a	a	DET
bracis-28423	64	56	null	null	ADJ
bracis-28423	64	57	uniformity	uniformity	NOUN
bracis-28423	64	58	value	value	NOUN
bracis-28423	64	59	is	be	AUX
bracis-28423	64	60	assigned	assign	VERB
bracis-28423	64	61	.	.	PUNCT
bracis-28423	65	1	given	give	VERB
bracis-28423	65	2	a	a	DET
bracis-28423	65	3	partition	partition	NOUN
bracis-28423	65	4	s	s	NOUN
bracis-28423	65	5	,	,	PUNCT
bracis-28423	65	6	the	the	DET
bracis-28423	65	7	value	value	NOUN
bracis-28423	65	8	of	of	ADP
bracis-28423	65	9	the	the	DET
bracis-28423	65	10	cdr	cdr	PROPN
bracis-28423	65	11	index	index	NOUN
bracis-28423	65	12	is	be	AUX
bracis-28423	65	13	defined	define	VERB
bracis-28423	65	14	as	as	ADP
bracis-28423	65	15	$	$	SYM
bracis-28423	65	16	$	$	SYM
bracis-28423	65	17	\begin{aligned	\begin{aligne	VERB
bracis-28423	65	18	}	}	PUNCT
bracis-28423	65	19	cdr(s	cdr(s	PROPN
bracis-28423	65	20	)	)	PUNCT
bracis-28423	65	21	=	=	SYM
bracis-28423	65	22	\frac{1}{n	\frac{1}{n	NOUN
bracis-28423	65	23	}	}	PUNCT
bracis-28423	65	24	\sum	\sum	NOUN
bracis-28423	66	1	_	_	PUNCT
bracis-28423	66	2	{	{	PUNCT
bracis-28423	66	3	s_l	s_l	SYM
bracis-28423	66	4	\in	\in	PROPN
bracis-28423	66	5	s}n_{s_l	s}n_{s_l	PROPN
bracis-28423	66	6	}	}	PUNCT
bracis-28423	66	7	\upsilon	\upsilon	PROPN
bracis-28423	66	8	(	(	PUNCT
bracis-28423	66	9	s_l	s_l	NUM
bracis-28423	66	10	)	)	PUNCT
bracis-28423	66	11	\text	\text	NOUN
bracis-28423	66	12	{	{	PUNCT
bracis-28423	66	13	,	,	PUNCT
bracis-28423	66	14	}	}	PUNCT
bracis-28423	66	15	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	66	16	where	where	SCONJ
bracis-28423	66	17	n	n	PRON
bracis-28423	66	18	corresponds	correspond	VERB
bracis-28423	66	19	to	to	ADP
bracis-28423	66	20	the	the	DET
bracis-28423	66	21	total	total	ADJ
bracis-28423	66	22	number	number	NOUN
bracis-28423	66	23	of	of	ADP
bracis-28423	66	24	data	datum	NOUN
bracis-28423	66	25	points	point	NOUN
bracis-28423	66	26	in	in	ADP
bracis-28423	66	27	x.	x.	NOUN
bracis-28423	66	28	the	the	DET
bracis-28423	66	29	cdr	cdr	PROPN
bracis-28423	66	30	index	index	NOUN
bracis-28423	66	31	minimization	minimization	NOUN
bracis-28423	66	32	estimates	estimate	VERB
bracis-28423	66	33	the	the	DET
bracis-28423	66	34	optimal	optimal	ADJ
bracis-28423	66	35	data	datum	NOUN
bracis-28423	66	36	partition	partition	NOUN
bracis-28423	66	37	among	among	ADP
bracis-28423	66	38	all	all	DET
bracis-28423	66	39	partitions	partition	NOUN
bracis-28423	66	40	generated	generate	VERB
bracis-28423	66	41	by	by	ADP
bracis-28423	66	42	the	the	DET
bracis-28423	66	43	clustering	cluster	VERB
bracis-28423	66	44	algorithm	algorithm	NOUN
bracis-28423	66	45	based	base	VERB
bracis-28423	66	46	on	on	ADP
bracis-28423	66	47	the	the	DET
bracis-28423	66	48	structural	structural	ADJ
bracis-28423	66	49	characteristics	characteristic	NOUN
bracis-28423	66	50	of	of	ADP
bracis-28423	66	51	the	the	DET
bracis-28423	66	52	data	data	NOUN
bracis-28423	66	53	points	point	NOUN
bracis-28423	66	54	.	.	PUNCT
bracis-28423	67	1	cubage	cubage	NOUN
bracis-28423	67	2	 	 	SPACE
bracis-28423	68	1	[	[	X
bracis-28423	68	2	7	7	X
bracis-28423	68	3	]	]	PUNCT
bracis-28423	68	4	the	the	DET
bracis-28423	68	5	cubage	cubage	NOUN
bracis-28423	68	6	index	index	NOUN
bracis-28423	68	7	(	(	PUNCT
bracis-28423	68	8	clustering	cluster	VERB
bracis-28423	68	9	utility	utility	NOUN
bracis-28423	68	10	based	base	VERB
bracis-28423	68	11	on	on	ADP
bracis-28423	68	12	the	the	DET
bracis-28423	68	13	averaged	average	VERB
bracis-28423	68	14	information	information	NOUN
bracis-28423	68	15	gain	gain	NOUN
bracis-28423	68	16	of	of	ADP
bracis-28423	68	17	isolating	isolate	VERB
bracis-28423	68	18	each	each	DET
bracis-28423	68	19	cluster	cluster	NOUN
bracis-28423	68	20	)	)	PUNCT
bracis-28423	68	21	uses	use	VERB
bracis-28423	68	22	the	the	DET
bracis-28423	68	23	proposed	propose	VERB
bracis-28423	68	24	averaged	average	VERB
bracis-28423	68	25	information	information	NOUN
bracis-28423	68	26	gain	gain	NOUN
bracis-28423	68	27	of	of	ADP
bracis-28423	68	28	isolating	isolate	VERB
bracis-28423	68	29	each	each	DET
bracis-28423	68	30	cluster	cluster	NOUN
bracis-28423	68	31	(	(	PUNCT
bracis-28423	68	32	age	age	NOUN
bracis-28423	68	33	)	)	PUNCT
bracis-28423	68	34	to	to	PART
bracis-28423	68	35	measure	measure	VERB
bracis-28423	68	36	the	the	DET
bracis-28423	68	37	separation	separation	NOUN
bracis-28423	68	38	,	,	PUNCT
bracis-28423	68	39	and	and	CCONJ
bracis-28423	68	40	the	the	DET
bracis-28423	68	41	reciprocal	reciprocal	ADJ
bracis-28423	68	42	entropy	entropy	NOUN
bracis-28423	68	43	of	of	ADP
bracis-28423	68	44	the	the	DET
bracis-28423	68	45	set	set	NOUN
bracis-28423	68	46	of	of	ADP
bracis-28423	68	47	data	datum	NOUN
bracis-28423	68	48	points	point	NOUN
bracis-28423	68	49	conditioned	condition	VERB
bracis-28423	68	50	on	on	ADP
bracis-28423	68	51	the	the	DET
bracis-28423	68	52	partition	partition	NOUN
bracis-28423	68	53	to	to	PART
bracis-28423	68	54	measure	measure	VERB
bracis-28423	68	55	the	the	DET
bracis-28423	68	56	compactness	compactness	NOUN
bracis-28423	68	57	of	of	ADP
bracis-28423	68	58	the	the	DET
bracis-28423	68	59	clusters	cluster	NOUN
bracis-28423	68	60	.	.	PUNCT
bracis-28423	69	1	given	give	VERB
bracis-28423	69	2	that	that	SCONJ
bracis-28423	69	3	the	the	DET
bracis-28423	69	4	data	datum	NOUN
bracis-28423	69	5	set	set	VERB
bracis-28423	69	6	x	x	PUNCT
bracis-28423	69	7	is	be	AUX
bracis-28423	69	8	described	describe	VERB
bracis-28423	69	9	by	by	ADP
bracis-28423	69	10	a	a	DET
bracis-28423	69	11	set	set	NOUN
bracis-28423	69	12	of	of	ADP
bracis-28423	69	13	m	m	PROPN
bracis-28423	69	14	independent	independent	ADJ
bracis-28423	69	15	features	feature	NOUN
bracis-28423	69	16	\(v	\(v	AUX
bracis-28423	69	17	=	=	SYM
bracis-28423	69	18	\left\	\left\	PROPN
bracis-28423	69	19	{	{	PUNCT
bracis-28423	69	20	v_1	v_1	PROPN
bracis-28423	69	21	,	,	PUNCT
bracis-28423	69	22	\dots	\dot	NOUN
bracis-28423	69	23	,	,	PUNCT
bracis-28423	69	24	v_m\right\	v_m\right\	ADV
bracis-28423	69	25	}	}	PUNCT
bracis-28423	69	26	\	\	NOUN
bracis-28423	69	27	)	)	PUNCT
bracis-28423	69	28	and	and	CCONJ
bracis-28423	69	29	the	the	DET
bracis-28423	69	30	value	value	NOUN
bracis-28423	69	31	of	of	ADP
bracis-28423	69	32	the	the	DET
bracis-28423	69	33	feature	feature	NOUN
bracis-28423	69	34	\(v_j\	\(v_j\	PROPN
bracis-28423	69	35	)	)	PUNCT
bracis-28423	69	36	can	can	AUX
bracis-28423	69	37	only	only	ADV
bracis-28423	69	38	be	be	AUX
bracis-28423	69	39	taken	take	VERB
bracis-28423	69	40	from	from	ADP
bracis-28423	69	41	the	the	DET
bracis-28423	69	42	domain	domain	NOUN
bracis-28423	69	43	\(d(v_j	\(d(v_j	NOUN
bracis-28423	69	44	)	)	PUNCT
bracis-28423	70	1	=	=	SYM
bracis-28423	70	2	\left\	\left\	PROPN
bracis-28423	70	3	{	{	PUNCT
bracis-28423	70	4	v_j^1	v_j^1	ADJ
bracis-28423	70	5	,	,	PUNCT
bracis-28423	70	6	\dots	\dot	NOUN
bracis-28423	70	7	,	,	PUNCT
bracis-28423	70	8	v_j^{\eta	v_j^{\eta	PROPN
bracis-28423	70	9	_	_	PROPN
bracis-28423	70	10	j	j	X
bracis-28423	70	11	}	}	PUNCT
bracis-28423	70	12	\right\	\right\	ADJ
bracis-28423	70	13	}	}	PUNCT
bracis-28423	70	14	\	\	NOUN
bracis-28423	70	15	)	)	PUNCT
bracis-28423	70	16	where	where	SCONJ
bracis-28423	70	17	\(\eta	\(\eta	NOUN
bracis-28423	70	18	_	_	PUNCT
bracis-28423	70	19	j\	j\	NOUN
bracis-28423	70	20	)	)	PUNCT
bracis-28423	70	21	is	be	AUX
bracis-28423	70	22	the	the	DET
bracis-28423	70	23	number	number	NOUN
bracis-28423	70	24	of	of	ADP
bracis-28423	70	25	possible	possible	ADJ
bracis-28423	70	26	values	value	NOUN
bracis-28423	70	27	of	of	ADP
bracis-28423	70	28	the	the	DET
bracis-28423	70	29	respective	respective	ADJ
bracis-28423	70	30	feature	feature	NOUN
bracis-28423	70	31	.	.	PUNCT
bracis-28423	71	1	thus	thus	ADV
bracis-28423	71	2	,	,	PUNCT
bracis-28423	71	3	starting	start	VERB
bracis-28423	71	4	from	from	ADP
bracis-28423	71	5	the	the	DET
bracis-28423	71	6	concept	concept	NOUN
bracis-28423	71	7	of	of	ADP
bracis-28423	71	8	entropy	entropy	PROPN
bracis-28423	71	9	,	,	PUNCT
bracis-28423	71	10	we	we	PRON
bracis-28423	71	11	initially	initially	ADV
bracis-28423	71	12	calculate	calculate	VERB
bracis-28423	71	13	the	the	DET
bracis-28423	71	14	information	information	NOUN
bracis-28423	71	15	gain	gain	NOUN
bracis-28423	71	16	referring	refer	VERB
bracis-28423	71	17	to	to	ADP
bracis-28423	71	18	the	the	DET
bracis-28423	71	19	set	set	NOUN
bracis-28423	71	20	of	of	ADP
bracis-28423	71	21	features	feature	NOUN
bracis-28423	71	22	h(v	h(v	PROPN
bracis-28423	71	23	)	)	PUNCT
bracis-28423	71	24	through	through	ADP
bracis-28423	71	25	the	the	DET
bracis-28423	71	26	equation	equation	NOUN
bracis-28423	71	27	$	$	SYM
bracis-28423	71	28	$	$	SYM
bracis-28423	71	29	\begin{aligned	\begin{aligne	VERB
bracis-28423	71	30	}	}	PUNCT
bracis-28423	71	31	h(v	h(v	NOUN
bracis-28423	71	32	)	)	PUNCT
bracis-28423	71	33	=	=	SYM
bracis-28423	71	34	\sum	\sum	NOUN
bracis-28423	71	35	_	_	PUNCT
bracis-28423	71	36	{	{	PUNCT
bracis-28423	71	37	j}^{m	j}^{m	PROPN
bracis-28423	71	38	}	}	PUNCT
bracis-28423	71	39	\sum	\sum	NOUN
bracis-28423	72	1	_	_	PUNCT
bracis-28423	72	2	{	{	PUNCT
bracis-28423	72	3	i}^{\eta	i}^{\eta	PROPN
bracis-28423	72	4	_	_	PROPN
bracis-28423	72	5	j	j	PROPN
bracis-28423	72	6	}	}	PUNCT
bracis-28423	72	7	p(\alpha	p(\alpha	PROPN
bracis-28423	72	8	_	_	PRON
bracis-28423	72	9	j^{i	j^{i	X
bracis-28423	72	10	}	}	PUNCT
bracis-28423	72	11	)	)	PUNCT
bracis-28423	73	1	\	\	NOUN
bracis-28423	73	2	,	,	PUNCT
bracis-28423	73	3	\text	\text	ADP
bracis-28423	73	4	{	{	PUNCT
bracis-28423	73	5	log}(p(\alpha	log}(p(\alpha	VERB
bracis-28423	73	6	_	_	PRON
bracis-28423	73	7	j^{i	j^{i	X
bracis-28423	73	8	}	}	PUNCT
bracis-28423	73	9	)	)	PUNCT
bracis-28423	73	10	)	)	PUNCT
bracis-28423	73	11	\text	\text	ADV
bracis-28423	73	12	{	{	PUNCT
bracis-28423	73	13	,	,	PUNCT
bracis-28423	73	14	}	}	PUNCT
bracis-28423	73	15	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	73	16	where	where	SCONJ
bracis-28423	73	17	\(p(\alpha	\(p(\alpha	VERB
bracis-28423	73	18	_	_	PRON
bracis-28423	73	19	j^{i})\	j^{i})\	X
bracis-28423	73	20	)	)	PUNCT
bracis-28423	73	21	is	be	AUX
bracis-28423	73	22	the	the	DET
bracis-28423	73	23	probability	probability	NOUN
bracis-28423	73	24	of	of	ADP
bracis-28423	73	25	feature	feature	NOUN
bracis-28423	73	26	\(v_j\	\(v_j\	PROPN
bracis-28423	73	27	)	)	PUNCT
bracis-28423	73	28	taking	take	VERB
bracis-28423	73	29	the	the	DET
bracis-28423	73	30	value	value	NOUN
bracis-28423	73	31	\(\alpha	\(\alpha	VERB
bracis-28423	73	32	_	_	NOUN
bracis-28423	73	33	j^{i}\	j^{i}\	NOUN
bracis-28423	73	34	)	)	PUNCT
bracis-28423	73	35	.	.	PUNCT
bracis-28423	74	1	given	give	VERB
bracis-28423	74	2	a	a	DET
bracis-28423	74	3	partition	partition	NOUN
bracis-28423	74	4	s	s	NOUN
bracis-28423	74	5	,	,	PUNCT
bracis-28423	74	6	the	the	DET
bracis-28423	74	7	entropy	entropy	NOUN
bracis-28423	74	8	of	of	ADP
bracis-28423	74	9	v	v	NUM
bracis-28423	74	10	conditioned	condition	VERB
bracis-28423	74	11	on	on	ADP
bracis-28423	74	12	s	s	NOUN
bracis-28423	74	13	,	,	PUNCT
bracis-28423	74	14	i.e.	i.e.	X
bracis-28423	74	15	,	,	PUNCT
bracis-28423	74	16	h(v|s	h(v|s	NUM
bracis-28423	74	17	)	)	PUNCT
bracis-28423	74	18	,	,	PUNCT
bracis-28423	74	19	and	and	CCONJ
bracis-28423	74	20	considered	consider	VERB
bracis-28423	74	21	as	as	SCONJ
bracis-28423	74	22	the	the	DET
bracis-28423	74	23	whole	whole	ADJ
bracis-28423	74	24	entropy	entropy	NOUN
bracis-28423	74	25	of	of	ADP
bracis-28423	74	26	the	the	DET
bracis-28423	74	27	partition	partition	NOUN
bracis-28423	74	28	is	be	AUX
bracis-28423	74	29	defined	define	VERB
bracis-28423	74	30	as	as	ADP
bracis-28423	74	31	$	$	SYM
bracis-28423	74	32	$	$	SYM
bracis-28423	74	33	\begin{aligned	\begin{aligne	VERB
bracis-28423	74	34	}	}	PUNCT
bracis-28423	74	35	e(s	e(s	PROPN
bracis-28423	74	36	)	)	PUNCT
bracis-28423	74	37	=	=	SYM
bracis-28423	74	38	h(v|s	h(v|s	X
bracis-28423	74	39	)	)	PUNCT
bracis-28423	74	40	=	=	SYM
bracis-28423	74	41	\sum	\sum	NOUN
bracis-28423	74	42	_	_	PUNCT
bracis-28423	74	43	{	{	PUNCT
bracis-28423	74	44	l}^{k	l}^{k	PROPN
bracis-28423	74	45	}	}	PUNCT
bracis-28423	74	46	\sum	\sum	NOUN
bracis-28423	74	47	_	_	PUNCT
bracis-28423	74	48	{	{	PUNCT
bracis-28423	74	49	j}^{m	j}^{m	PROPN
bracis-28423	74	50	}	}	PUNCT
bracis-28423	74	51	\sum	\sum	NOUN
bracis-28423	74	52	_	_	PUNCT
bracis-28423	74	53	{	{	PUNCT
bracis-28423	74	54	i}^{\eta	i}^{\eta	PROPN
bracis-28423	74	55	_	_	PROPN
bracis-28423	74	56	j}p(\alpha	j}p(\alpha	PUNCT
bracis-28423	75	1	_	_	NOUN
bracis-28423	75	2	j^{i	j^{i	X
bracis-28423	75	3	}	}	PUNCT
bracis-28423	75	4	,	,	PUNCT
bracis-28423	75	5	s_l	s_l	NUM
bracis-28423	75	6	)	)	PUNCT
bracis-28423	75	7	\	\	NOUN
bracis-28423	75	8	,	,	PUNCT
bracis-28423	75	9	\text	\text	ADP
bracis-28423	75	10	{	{	PUNCT
bracis-28423	75	11	log}(p(\alpha	log}(p(\alpha	VERB
bracis-28423	75	12	_	_	PROPN
bracis-28423	75	13	j^{i}|	j^{i}|	NUM
bracis-28423	75	14	s_l	s_l	NUM
bracis-28423	75	15	)	)	PUNCT
bracis-28423	75	16	)	)	PUNCT
bracis-28423	75	17	\text	\text	ADV
bracis-28423	75	18	{	{	PUNCT
bracis-28423	75	19	,	,	PUNCT
bracis-28423	75	20	}	}	PUNCT
bracis-28423	75	21	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	75	22	where	where	SCONJ
bracis-28423	75	23	\(p(\alpha	\(p(\alpha	VERB
bracis-28423	75	24	_	_	NOUN
bracis-28423	75	25	j^i	j^i	NOUN
bracis-28423	75	26	,	,	PUNCT
bracis-28423	75	27	s_l)\	s_l)\	PROPN
bracis-28423	75	28	)	)	PUNCT
bracis-28423	75	29	is	be	AUX
bracis-28423	75	30	the	the	DET
bracis-28423	75	31	conditional	conditional	ADJ
bracis-28423	75	32	probability	probability	NOUN
bracis-28423	75	33	of	of	ADP
bracis-28423	75	34	the	the	DET
bracis-28423	75	35	value	value	NOUN
bracis-28423	75	36	\(\alpha	\(\alpha	VERB
bracis-28423	75	37	_	_	NOUN
bracis-28423	75	38	j^i\	j^i\	NUM
bracis-28423	75	39	)	)	PUNCT
bracis-28423	75	40	,	,	PUNCT
bracis-28423	75	41	given	give	VERB
bracis-28423	75	42	cluster	cluster	NOUN
bracis-28423	75	43	\(s_l\	\(s_l\	PROPN
bracis-28423	75	44	)	)	PUNCT
bracis-28423	75	45	.	.	PUNCT
bracis-28423	76	1	finally	finally	ADV
bracis-28423	76	2	,	,	PUNCT
bracis-28423	76	3	the	the	DET
bracis-28423	76	4	information	information	NOUN
bracis-28423	76	5	gain	gain	NOUN
bracis-28423	76	6	between	between	ADP
bracis-28423	76	7	variables	variable	NOUN
bracis-28423	76	8	and	and	CCONJ
bracis-28423	76	9	partitions	partition	NOUN
bracis-28423	76	10	is	be	AUX
bracis-28423	76	11	related	relate	VERB
bracis-28423	76	12	through	through	ADP
bracis-28423	76	13	the	the	DET
bracis-28423	76	14	equation	equation	NOUN
bracis-28423	76	15	$	$	SYM
bracis-28423	76	16	$	$	SYM
bracis-28423	76	17	\begin{aligned	\begin{aligne	VERB
bracis-28423	76	18	}	}	PUNCT
bracis-28423	76	19	cubage(s	cubage(	VERB
bracis-28423	76	20	)	)	PUNCT
bracis-28423	76	21	=	=	SYM
bracis-28423	76	22	\frac{h(v	\frac{h(v	NOUN
bracis-28423	76	23	)	)	PUNCT
bracis-28423	76	24	e(s)}{e(s	e(s)}{e(s	NUM
bracis-28423	76	25	)	)	PUNCT
bracis-28423	76	26	}	}	PUNCT
bracis-28423	77	1	\text	\text	ADV
bracis-28423	77	2	{	{	PUNCT
bracis-28423	77	3	.	.	PUNCT
bracis-28423	77	4	}	}	PUNCT
bracis-28423	77	5	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	77	6	the	the	DET
bracis-28423	77	7	index	index	NOUN
bracis-28423	77	8	takes	take	VERB
bracis-28423	77	9	the	the	DET
bracis-28423	77	10	form	form	NOUN
bracis-28423	77	11	of	of	ADP
bracis-28423	77	12	the	the	DET
bracis-28423	77	13	product	product	NOUN
bracis-28423	77	14	of	of	ADP
bracis-28423	77	15	separation	separation	NOUN
bracis-28423	77	16	and	and	CCONJ
bracis-28423	77	17	compactness	compactness	NOUN
bracis-28423	77	18	.	.	PUNCT
bracis-28423	78	1	the	the	DET
bracis-28423	78	2	largest	large	ADJ
bracis-28423	78	3	index	index	NOUN
bracis-28423	78	4	value	value	NOUN
bracis-28423	78	5	across	across	ADP
bracis-28423	78	6	partitions	partition	NOUN
bracis-28423	78	7	indicates	indicate	VERB
bracis-28423	78	8	the	the	DET
bracis-28423	78	9	most	most	ADV
bracis-28423	78	10	suitable	suitable	ADJ
bracis-28423	78	11	number	number	NOUN
bracis-28423	78	12	of	of	ADP
bracis-28423	78	13	clusters	cluster	NOUN
bracis-28423	78	14	.	.	PUNCT
bracis-28423	79	1	consensus	consensus	NOUN
bracis-28423	79	2	index	index	NOUN
bracis-28423	79	3	(	(	PUNCT
bracis-28423	79	4	ci	ci	NOUN
bracis-28423	79	5	)	)	PUNCT
bracis-28423	79	6	 	 	SPACE
bracis-28423	80	1	[	[	X
bracis-28423	80	2	20	20	NUM
bracis-28423	80	3	]	]	PUNCT
bracis-28423	80	4	this	this	DET
bracis-28423	80	5	index	index	NOUN
bracis-28423	80	6	aims	aim	VERB
bracis-28423	80	7	to	to	PART
bracis-28423	80	8	calculate	calculate	VERB
bracis-28423	80	9	the	the	DET
bracis-28423	80	10	average	average	ADJ
bracis-28423	80	11	pairwise	pairwise	NOUN
bracis-28423	80	12	similarity	similarity	NOUN
bracis-28423	80	13	between	between	ADP
bracis-28423	80	14	different	different	ADJ
bracis-28423	80	15	partitions	partition	NOUN
bracis-28423	80	16	.	.	PUNCT
bracis-28423	81	1	these	these	DET
bracis-28423	81	2	partitions	partition	NOUN
bracis-28423	81	3	can	can	AUX
bracis-28423	81	4	be	be	AUX
bracis-28423	81	5	obtained	obtain	VERB
bracis-28423	81	6	by	by	ADP
bracis-28423	81	7	running	run	VERB
bracis-28423	81	8	different	different	ADJ
bracis-28423	81	9	algorithms	algorithm	NOUN
bracis-28423	81	10	.	.	PUNCT
bracis-28423	82	1	thus	thus	ADV
bracis-28423	82	2	,	,	PUNCT
bracis-28423	82	3	suppose	suppose	VERB
bracis-28423	82	4	a	a	DET
bracis-28423	82	5	set	set	NOUN
bracis-28423	82	6	of	of	ADP
bracis-28423	82	7	w	w	NOUN
bracis-28423	82	8	solutions	solution	NOUN
bracis-28423	82	9	of	of	ADP
bracis-28423	82	10	different	different	ADJ
bracis-28423	82	11	clustering	clustering	ADJ
bracis-28423	82	12	algorithms	algorithm	NOUN
bracis-28423	82	13	\(s=	\(s=	X
bracis-28423	82	14	\left\	\left\	PROPN
bracis-28423	82	15	{	{	PUNCT
bracis-28423	82	16	s^1	s^1	PROPN
bracis-28423	82	17	,	,	PUNCT
bracis-28423	82	18	\dots	\dot	NOUN
bracis-28423	82	19	,	,	PUNCT
bracis-28423	82	20	s^w	s^w	NOUN
bracis-28423	82	21	\right\	\right\	ADJ
bracis-28423	82	22	}	}	PUNCT
bracis-28423	82	23	\	\	NOUN
bracis-28423	82	24	)	)	PUNCT
bracis-28423	82	25	.	.	PUNCT
bracis-28423	83	1	the	the	DET
bracis-28423	83	2	consensus	consensus	NOUN
bracis-28423	83	3	index	index	NOUN
bracis-28423	83	4	between	between	ADP
bracis-28423	83	5	the	the	DET
bracis-28423	83	6	different	different	ADJ
bracis-28423	83	7	partitions	partition	NOUN
bracis-28423	83	8	is	be	AUX
bracis-28423	83	9	given	give	VERB
bracis-28423	83	10	by	by	ADP
bracis-28423	83	11	$	$	SYM
bracis-28423	83	12	$	$	SYM
bracis-28423	83	13	\begin{aligned	\begin{aligne	VERB
bracis-28423	83	14	}	}	PUNCT
bracis-28423	83	15	ci	ci	NOUN
bracis-28423	83	16	(	(	PUNCT
bracis-28423	83	17	s	s	NOUN
bracis-28423	83	18	)	)	PUNCT
bracis-28423	83	19	=	=	VERB
bracis-28423	83	20	\sum	\sum	NOUN
bracis-28423	83	21	_	_	PUNCT
bracis-28423	83	22	{	{	PUNCT
bracis-28423	84	1	p	p	X
bracis-28423	84	2	<	<	X
bracis-28423	84	3	q	q	X
bracis-28423	84	4	}	}	PUNCT
bracis-28423	84	5	\varphi	\varphi	PROPN
bracis-28423	84	6	(	(	PUNCT
bracis-28423	84	7	s^p	s^p	ADJ
bracis-28423	84	8	,	,	PUNCT
bracis-28423	84	9	s^q	s^q	PROPN
bracis-28423	84	10	)	)	PUNCT
bracis-28423	84	11	\text	\text	ADV
bracis-28423	84	12	{	{	PUNCT
bracis-28423	84	13	,	,	PUNCT
bracis-28423	84	14	}	}	PUNCT
bracis-28423	84	15	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	84	16	where	where	SCONJ
bracis-28423	84	17	\(\varphi	\(\varphi	PUNCT
bracis-28423	84	18	\	\	NOUN
bracis-28423	84	19	)	)	PUNCT
bracis-28423	84	20	is	be	AUX
bracis-28423	84	21	validation	validation	NOUN
bracis-28423	84	22	index	index	NOUN
bracis-28423	84	23	based	base	VERB
bracis-28423	84	24	in	in	ADP
bracis-28423	84	25	similarity	similarity	NOUN
bracis-28423	84	26	.	.	PUNCT
bracis-28423	85	1	in	in	ADP
bracis-28423	85	2	this	this	DET
bracis-28423	85	3	study	study	NOUN
bracis-28423	85	4	,	,	PUNCT
bracis-28423	85	5	we	we	PRON
bracis-28423	85	6	use	use	VERB
bracis-28423	85	7	the	the	DET
bracis-28423	85	8	adjusted	adjust	VERB
bracis-28423	85	9	rand	rand	NOUN
bracis-28423	85	10	index	index	NOUN
bracis-28423	85	11	 	 	SPACE
bracis-28423	86	1	[	[	X
bracis-28423	86	2	9	9	NUM
bracis-28423	86	3	]	]	PUNCT
bracis-28423	86	4	,	,	PUNCT
bracis-28423	86	5	also	also	ADV
bracis-28423	86	6	used	use	VERB
bracis-28423	86	7	in	in	ADP
bracis-28423	86	8	a	a	DET
bracis-28423	86	9	similar	similar	ADJ
bracis-28423	86	10	study	study	NOUN
bracis-28423	86	11	 	 	SPACE
bracis-28423	87	1	[	[	X
bracis-28423	87	2	19	19	NUM
bracis-28423	87	3	]	]	PUNCT
bracis-28423	87	4	.	.	PUNCT
bracis-28423	88	1	hence	hence	ADV
bracis-28423	88	2	,	,	PUNCT
bracis-28423	88	3	higher	high	ADJ
bracis-28423	88	4	index	index	NOUN
bracis-28423	88	5	values	value	NOUN
bracis-28423	88	6	indicate	indicate	VERB
bracis-28423	88	7	higher	high	ADJ
bracis-28423	88	8	quality	quality	NOUN
bracis-28423	88	9	in	in	ADP
bracis-28423	88	10	the	the	DET
bracis-28423	88	11	partitions	partition	NOUN
bracis-28423	88	12	resulting	result	VERB
bracis-28423	88	13	from	from	ADP
bracis-28423	88	14	clustering	cluster	VERB
bracis-28423	88	15	.	.	PUNCT
bracis-28423	89	1	cluster	cluster	NOUN
bracis-28423	89	2	number	number	NOUN
bracis-28423	89	3	assisted	assist	VERB
bracis-28423	89	4	k	k	X
bracis-28423	89	5	-	-	PUNCT
bracis-28423	89	6	means	means	NOUN
bracis-28423	89	7	(	(	PUNCT
bracis-28423	89	8	cnak	cnak	NOUN
bracis-28423	89	9	)	)	PUNCT
bracis-28423	89	10	 	 	SPACE
bracis-28423	90	1	[	[	X
bracis-28423	90	2	18	18	NUM
bracis-28423	90	3	]	]	PUNCT
bracis-28423	90	4	the	the	DET
bracis-28423	90	5	cnak	cnak	NOUN
bracis-28423	90	6	algorithm	algorithm	NOUN
bracis-28423	90	7	is	be	AUX
bracis-28423	90	8	defined	define	VERB
bracis-28423	90	9	as	as	ADP
bracis-28423	90	10	a	a	DET
bracis-28423	90	11	variant	variant	NOUN
bracis-28423	90	12	of	of	ADP
bracis-28423	90	13	k	k	NOUN
bracis-28423	90	14	-	-	PUNCT
bracis-28423	90	15	means	means	NOUN
bracis-28423	90	16	in	in	ADP
bracis-28423	90	17	which	which	PRON
bracis-28423	90	18	the	the	DET
bracis-28423	90	19	proper	proper	ADJ
bracis-28423	90	20	cluster	cluster	NOUN
bracis-28423	90	21	number	number	NOUN
bracis-28423	90	22	is	be	AUX
bracis-28423	90	23	learned	learn	VERB
bracis-28423	90	24	during	during	ADP
bracis-28423	90	25	the	the	DET
bracis-28423	90	26	clustering	clustering	ADJ
bracis-28423	90	27	process	process	NOUN
bracis-28423	90	28	.	.	PUNCT
bracis-28423	91	1	the	the	DET
bracis-28423	91	2	proposal	proposal	NOUN
bracis-28423	91	3	is	be	AUX
bracis-28423	91	4	based	base	VERB
bracis-28423	91	5	on	on	ADP
bracis-28423	91	6	randomly	randomly	ADV
bracis-28423	91	7	sampled	sample	VERB
bracis-28423	91	8	large	large	ADJ
bracis-28423	91	9	-	-	PUNCT
bracis-28423	91	10	sized	sized	ADJ
bracis-28423	91	11	sets	set	NOUN
bracis-28423	91	12	of	of	ADP
bracis-28423	91	13	data	datum	NOUN
bracis-28423	91	14	points	point	NOUN
bracis-28423	91	15	having	have	VERB
bracis-28423	91	16	the	the	DET
bracis-28423	91	17	same	same	ADJ
bracis-28423	91	18	distribution	distribution	NOUN
bracis-28423	91	19	as	as	ADP
bracis-28423	91	20	the	the	DET
bracis-28423	91	21	original	original	ADJ
bracis-28423	91	22	set	set	NOUN
bracis-28423	91	23	,	,	PUNCT
bracis-28423	91	24	such	such	ADJ
bracis-28423	91	25	that	that	SCONJ
bracis-28423	91	26	the	the	DET
bracis-28423	91	27	number	number	NOUN
bracis-28423	91	28	of	of	ADP
bracis-28423	91	29	generated	generate	VERB
bracis-28423	91	30	cluster	cluster	NOUN
bracis-28423	91	31	centroids	centroid	NOUN
bracis-28423	91	32	from	from	ADP
bracis-28423	91	33	the	the	DET
bracis-28423	91	34	sample	sample	NOUN
bracis-28423	91	35	is	be	AUX
bracis-28423	91	36	approximately	approximately	ADV
bracis-28423	91	37	the	the	DET
bracis-28423	91	38	same	same	ADJ
bracis-28423	91	39	as	as	ADP
bracis-28423	91	40	the	the	DET
bracis-28423	91	41	original	original	NOUN
bracis-28423	91	42	.	.	PUNCT
bracis-28423	92	1	according	accord	VERB
bracis-28423	92	2	to	to	ADP
bracis-28423	92	3	the	the	DET
bracis-28423	92	4	results	result	NOUN
bracis-28423	92	5	of	of	ADP
bracis-28423	92	6	the	the	DET
bracis-28423	92	7	study	study	NOUN
bracis-28423	92	8	,	,	PUNCT
bracis-28423	92	9	the	the	DET
bracis-28423	92	10	algorithm	algorithm	NOUN
bracis-28423	92	11	presented	present	VERB
bracis-28423	92	12	satisfactory	satisfactory	ADJ
bracis-28423	92	13	results	result	NOUN
bracis-28423	92	14	,	,	PUNCT
bracis-28423	92	15	being	be	AUX
bracis-28423	92	16	able	able	ADJ
bracis-28423	92	17	to	to	PART
bracis-28423	92	18	successfully	successfully	ADV
bracis-28423	92	19	detect	detect	VERB
bracis-28423	92	20	clusters	cluster	NOUN
bracis-28423	92	21	,	,	PUNCT
bracis-28423	92	22	identify	identify	VERB
bracis-28423	92	23	the	the	DET
bracis-28423	92	24	hierarchy	hierarchy	NOUN
bracis-28423	92	25	,	,	PUNCT
bracis-28423	92	26	but	but	CCONJ
bracis-28423	92	27	was	be	AUX
bracis-28423	92	28	not	not	PART
bracis-28423	92	29	able	able	ADJ
bracis-28423	92	30	to	to	PART
bracis-28423	92	31	demonstrate	demonstrate	VERB
bracis-28423	92	32	robustness	robustness	NOUN
bracis-28423	92	33	in	in	ADP
bracis-28423	92	34	dealing	deal	VERB
bracis-28423	92	35	with	with	ADP
bracis-28423	92	36	noise	noise	NOUN
bracis-28423	92	37	and	and	CCONJ
bracis-28423	92	38	data	datum	NOUN
bracis-28423	92	39	overlap	overlap	NOUN
bracis-28423	92	40	.	.	PUNCT
bracis-28423	93	1	in	in	ADP
bracis-28423	93	2	this	this	DET
bracis-28423	93	3	study	study	NOUN
bracis-28423	93	4	,	,	PUNCT
bracis-28423	93	5	we	we	PRON
bracis-28423	93	6	used	use	VERB
bracis-28423	93	7	the	the	DET
bracis-28423	93	8	\(\tilde{k}\	\(\tilde{k}\	NOUN
bracis-28423	93	9	)	)	PUNCT
bracis-28423	93	10	suggested	suggest	VERB
bracis-28423	93	11	by	by	ADP
bracis-28423	93	12	cnak	cnak	NOUN
bracis-28423	93	13	and	and	CCONJ
bracis-28423	93	14	compared	compare	VERB
bracis-28423	93	15	it	it	PRON
bracis-28423	93	16	with	with	ADP
bracis-28423	93	17	other	other	ADJ
bracis-28423	93	18	indices	index	NOUN
bracis-28423	93	19	for	for	ADP
bracis-28423	93	20	the	the	DET
bracis-28423	93	21	process	process	NOUN
bracis-28423	93	22	of	of	ADP
bracis-28423	93	23	validating	validate	VERB
bracis-28423	93	24	the	the	DET
bracis-28423	93	25	results	result	NOUN
bracis-28423	93	26	of	of	ADP
bracis-28423	93	27	the	the	DET
bracis-28423	93	28	proposed	propose	VERB
bracis-28423	93	29	method	method	NOUN
bracis-28423	93	30	.	.	PUNCT
bracis-28423	94	1	3	3	NUM
bracis-28423	94	2	validation	validation	NOUN
bracis-28423	94	3	based	base	VERB
bracis-28423	94	4	on	on	ADP
bracis-28423	94	5	 	 	SPACE
bracis-28423	94	6	the	the	DET
bracis-28423	94	7	 	 	SPACE
bracis-28423	94	8	semantic	semantic	ADJ
bracis-28423	94	9	description	description	NOUN
bracis-28423	94	10	of	of	ADP
bracis-28423	94	11	 	 	SPACE
bracis-28423	94	12	the	the	DET
bracis-28423	94	13	 	 	SPACE
bracis-28423	94	14	clusters	cluster	NOUN
bracis-28423	94	15	given	give	VERB
bracis-28423	94	16	that	that	DET
bracis-28423	94	17	validation	validation	NOUN
bracis-28423	94	18	indices	index	NOUN
bracis-28423	94	19	with	with	ADP
bracis-28423	94	20	distance	distance	NOUN
bracis-28423	94	21	-	-	PUNCT
bracis-28423	94	22	based	base	VERB
bracis-28423	94	23	metrics	metric	NOUN
bracis-28423	94	24	can	can	AUX
bracis-28423	94	25	be	be	AUX
bracis-28423	94	26	a	a	DET
bracis-28423	94	27	problem	problem	NOUN
bracis-28423	94	28	for	for	ADP
bracis-28423	94	29	applications	application	NOUN
bracis-28423	94	30	on	on	ADP
bracis-28423	94	31	categorical	categorical	ADJ
bracis-28423	94	32	data	data	NOUN
bracis-28423	94	33	sets	set	NOUN
bracis-28423	94	34	,	,	PUNCT
bracis-28423	94	35	since	since	SCONJ
bracis-28423	94	36	the	the	DET
bracis-28423	94	37	spatial	spatial	ADJ
bracis-28423	94	38	representation	representation	NOUN
bracis-28423	94	39	of	of	ADP
bracis-28423	94	40	data	datum	NOUN
bracis-28423	94	41	points	point	NOUN
bracis-28423	94	42	is	be	AUX
bracis-28423	94	43	not	not	PART
bracis-28423	94	44	adequate	adequate	ADJ
bracis-28423	94	45	 	 	SPACE
bracis-28423	95	1	[	[	X
bracis-28423	95	2	6	6	NUM
bracis-28423	95	3	,	,	PUNCT
bracis-28423	95	4	8	8	NUM
bracis-28423	95	5	]	]	PUNCT
bracis-28423	95	6	,	,	PUNCT
bracis-28423	95	7	we	we	PRON
bracis-28423	95	8	propose	propose	VERB
bracis-28423	95	9	an	an	DET
bracis-28423	95	10	index	index	NOUN
bracis-28423	95	11	,	,	PUNCT
bracis-28423	95	12	based	base	VERB
bracis-28423	95	13	on	on	ADP
bracis-28423	95	14	the	the	DET
bracis-28423	95	15	potential	potential	NOUN
bracis-28423	95	16	for	for	ADP
bracis-28423	95	17	semantic	semantic	ADJ
bracis-28423	95	18	description	description	NOUN
bracis-28423	95	19	of	of	ADP
bracis-28423	95	20	each	each	DET
bracis-28423	95	21	cluster	cluster	NOUN
bracis-28423	95	22	,	,	PUNCT
bracis-28423	95	23	for	for	ADP
bracis-28423	95	24	internal	internal	ADJ
bracis-28423	95	25	validation	validation	NOUN
bracis-28423	95	26	of	of	ADP
bracis-28423	95	27	clustering	clustering	ADJ
bracis-28423	95	28	results	result	NOUN
bracis-28423	95	29	.	.	PUNCT
bracis-28423	96	1	for	for	ADP
bracis-28423	96	2	this	this	PRON
bracis-28423	96	3	,	,	PUNCT
bracis-28423	96	4	given	give	VERB
bracis-28423	96	5	the	the	DET
bracis-28423	96	6	result	result	NOUN
bracis-28423	96	7	of	of	ADP
bracis-28423	96	8	the	the	DET
bracis-28423	96	9	clustering	clustering	NOUN
bracis-28423	96	10	,	,	PUNCT
bracis-28423	96	11	frequent	frequent	ADJ
bracis-28423	96	12	patterns	pattern	NOUN
bracis-28423	96	13	within	within	ADP
bracis-28423	96	14	the	the	DET
bracis-28423	96	15	clusters	cluster	NOUN
bracis-28423	96	16	are	be	AUX
bracis-28423	96	17	identified	identify	VERB
bracis-28423	96	18	and	and	CCONJ
bracis-28423	96	19	we	we	PRON
bracis-28423	96	20	calculate	calculate	VERB
bracis-28423	96	21	some	some	DET
bracis-28423	96	22	indicators	indicator	NOUN
bracis-28423	96	23	that	that	PRON
bracis-28423	96	24	are	be	AUX
bracis-28423	96	25	related	relate	VERB
bracis-28423	96	26	to	to	ADP
bracis-28423	96	27	the	the	DET
bracis-28423	96	28	semantic	semantic	ADJ
bracis-28423	96	29	description	description	NOUN
bracis-28423	96	30	potential	potential	NOUN
bracis-28423	96	31	of	of	ADP
bracis-28423	96	32	the	the	DET
bracis-28423	96	33	set	set	NOUN
bracis-28423	96	34	of	of	ADP
bracis-28423	96	35	frequent	frequent	ADJ
bracis-28423	96	36	patterns	pattern	NOUN
bracis-28423	96	37	.	.	PUNCT
bracis-28423	97	1	thus	thus	ADV
bracis-28423	97	2	,	,	PUNCT
bracis-28423	97	3	we	we	PRON
bracis-28423	97	4	consider	consider	VERB
bracis-28423	97	5	an	an	DET
bracis-28423	97	6	adequate	adequate	ADJ
bracis-28423	97	7	clustering	clustering	NOUN
bracis-28423	97	8	to	to	PART
bracis-28423	97	9	be	be	AUX
bracis-28423	97	10	one	one	NUM
bracis-28423	97	11	in	in	ADP
bracis-28423	97	12	which	which	PRON
bracis-28423	97	13	the	the	DET
bracis-28423	97	14	resulting	result	VERB
bracis-28423	97	15	clusters	cluster	NOUN
bracis-28423	97	16	are	be	AUX
bracis-28423	97	17	adequately	adequately	ADV
bracis-28423	97	18	described	describe	VERB
bracis-28423	97	19	,	,	PUNCT
bracis-28423	97	20	since	since	SCONJ
bracis-28423	97	21	the	the	DET
bracis-28423	97	22	points	point	NOUN
bracis-28423	97	23	within	within	ADP
bracis-28423	97	24	each	each	PRON
bracis-28423	97	25	of	of	ADP
bracis-28423	97	26	them	they	PRON
bracis-28423	97	27	were	be	AUX
bracis-28423	97	28	selected	select	VERB
bracis-28423	97	29	based	base	VERB
bracis-28423	97	30	on	on	ADP
bracis-28423	97	31	the	the	DET
bracis-28423	97	32	similarity	similarity	NOUN
bracis-28423	97	33	between	between	ADP
bracis-28423	97	34	the	the	DET
bracis-28423	97	35	observed	observed	ADJ
bracis-28423	97	36	frequent	frequent	ADJ
bracis-28423	97	37	patterns	pattern	NOUN
bracis-28423	97	38	.	.	PUNCT
bracis-28423	98	1	3.1	3.1	NUM
bracis-28423	98	2	proposed	propose	VERB
bracis-28423	98	3	index	index	NOUN
bracis-28423	98	4	let	let	VERB
bracis-28423	98	5	\(v	\(v	NOUN
bracis-28423	98	6	=	=	SYM
bracis-28423	98	7	\left\	\left\	PROPN
bracis-28423	98	8	{	{	PUNCT
bracis-28423	98	9	v_1	v_1	PROPN
bracis-28423	98	10	,	,	PUNCT
bracis-28423	98	11	\dots	\dot	NOUN
bracis-28423	98	12	,	,	PUNCT
bracis-28423	98	13	v_m\right\	v_m\right\	ADV
bracis-28423	98	14	}	}	PUNCT
bracis-28423	98	15	\	\	NOUN
bracis-28423	98	16	)	)	PUNCT
bracis-28423	98	17	be	be	AUX
bracis-28423	98	18	a	a	DET
bracis-28423	98	19	set	set	NOUN
bracis-28423	98	20	of	of	ADP
bracis-28423	98	21	m	m	PROPN
bracis-28423	98	22	features	feature	NOUN
bracis-28423	98	23	(	(	PUNCT
bracis-28423	98	24	item	item	NOUN
bracis-28423	98	25	set	set	NOUN
bracis-28423	98	26	)	)	PUNCT
bracis-28423	98	27	each	each	PRON
bracis-28423	98	28	representing	represent	VERB
bracis-28423	98	29	a	a	DET
bracis-28423	98	30	description	description	NOUN
bracis-28423	98	31	of	of	ADP
bracis-28423	98	32	a	a	DET
bracis-28423	98	33	categorical	categorical	ADJ
bracis-28423	98	34	data	data	NOUN
bracis-28423	98	35	set	set	VERB
bracis-28423	98	36	(	(	PUNCT
bracis-28423	98	37	transactional	transactional	ADJ
bracis-28423	98	38	data	datum	NOUN
bracis-28423	98	39	set	set	NOUN
bracis-28423	98	40	)	)	PUNCT
bracis-28423	98	41	\(x	\(x	NOUN
bracis-28423	98	42	=	=	SYM
bracis-28423	98	43	\left\	\left\	PROPN
bracis-28423	98	44	{	{	PUNCT
bracis-28423	98	45	x_1	x_1	PROPN
bracis-28423	98	46	,	,	PUNCT
bracis-28423	98	47	\dots	\dot	NOUN
bracis-28423	98	48	,	,	PUNCT
bracis-28423	98	49	x_n\right\	x_n\right\	ADV
bracis-28423	98	50	}	}	PUNCT
bracis-28423	98	51	\	\	NOUN
bracis-28423	98	52	)	)	PUNCT
bracis-28423	98	53	of	of	ADP
bracis-28423	98	54	n	n	PROPN
bracis-28423	98	55	data	datum	NOUN
bracis-28423	98	56	points	point	NOUN
bracis-28423	98	57	,	,	PUNCT
bracis-28423	98	58	where	where	SCONJ
bracis-28423	98	59	each	each	DET
bracis-28423	98	60	point	point	NOUN
bracis-28423	98	61	\(x_i	\(x_i	PROPN
bracis-28423	98	62	\in	\in	PROPN
bracis-28423	98	63	\mathbb	\mathbb	PROPN
bracis-28423	98	64	{	{	PUNCT
bracis-28423	98	65	z}_{2}^{m}\	z}_{2}^{m}\	X
bracis-28423	98	66	)	)	PUNCT
bracis-28423	98	67	represents	represent	VERB
bracis-28423	98	68	the	the	DET
bracis-28423	98	69	competency	competency	NOUN
bracis-28423	98	70	description	description	NOUN
bracis-28423	98	71	of	of	ADP
bracis-28423	98	72	a	a	DET
bracis-28423	98	73	person	person	NOUN
bracis-28423	98	74	(	(	PUNCT
bracis-28423	98	75	transaction	transaction	NOUN
bracis-28423	98	76	)	)	PUNCT
bracis-28423	98	77	from	from	ADP
bracis-28423	98	78	a	a	DET
bracis-28423	98	79	subset	subset	NOUN
bracis-28423	98	80	of	of	ADP
bracis-28423	98	81	v	v	NOUN
bracis-28423	98	82	items	item	NOUN
bracis-28423	98	83	.	.	PUNCT
bracis-28423	99	1	the	the	DET
bracis-28423	99	2	support	support	NOUN
bracis-28423	99	3	\(\sigma	\(\sigma	NOUN
bracis-28423	99	4	_	_	PUNCT
bracis-28423	99	5	{	{	PUNCT
bracis-28423	99	6	v_j}\	v_j}\	X
bracis-28423	99	7	)	)	PUNCT
bracis-28423	99	8	(	(	PUNCT
bracis-28423	99	9	or	or	CCONJ
bracis-28423	99	10	frequency	frequency	NOUN
bracis-28423	99	11	of	of	ADP
bracis-28423	99	12	occurrence	occurrence	NOUN
bracis-28423	99	13	)	)	PUNCT
bracis-28423	99	14	of	of	ADP
bracis-28423	99	15	a	a	DET
bracis-28423	99	16	\(v_j\	\(v_j\	PROPN
bracis-28423	99	17	)	)	PUNCT
bracis-28423	99	18	item	item	NOUN
bracis-28423	99	19	is	be	AUX
bracis-28423	99	20	defined	define	VERB
bracis-28423	99	21	as	as	ADP
bracis-28423	99	22	the	the	DET
bracis-28423	99	23	proportion	proportion	NOUN
bracis-28423	99	24	of	of	ADP
bracis-28423	99	25	transactions	transaction	NOUN
bracis-28423	99	26	that	that	PRON
bracis-28423	99	27	contain	contain	VERB
bracis-28423	99	28	\(v_j\	\(v_j\	PROPN
bracis-28423	99	29	)	)	PUNCT
bracis-28423	99	30	.	.	PUNCT
bracis-28423	100	1	even	even	ADV
bracis-28423	100	2	if	if	SCONJ
bracis-28423	100	3	\(\sigma	\(\sigma	NOUN
bracis-28423	100	4	_	_	PUNCT
bracis-28423	100	5	{	{	PUNCT
bracis-28423	100	6	v_j}\	v_j}\	X
bracis-28423	100	7	)	)	PUNCT
bracis-28423	100	8	is	be	AUX
bracis-28423	100	9	greater	great	ADJ
bracis-28423	100	10	than	than	ADP
bracis-28423	100	11	a	a	DET
bracis-28423	100	12	minimum	minimum	NOUN
bracis-28423	100	13	support	support	NOUN
bracis-28423	100	14	limit	limit	NOUN
bracis-28423	100	15	\(\sigma	\(\sigma	NOUN
bracis-28423	100	16	_	_	PUNCT
bracis-28423	100	17	{	{	PUNCT
bracis-28423	100	18	min}\	min}\	NOUN
bracis-28423	100	19	)	)	PUNCT
bracis-28423	100	20	,	,	PUNCT
bracis-28423	100	21	we	we	PRON
bracis-28423	100	22	define	define	VERB
bracis-28423	100	23	\(v_j\	\(v_j\	PROPN
bracis-28423	100	24	)	)	PUNCT
bracis-28423	100	25	as	as	ADP
bracis-28423	100	26	frequent	frequent	ADJ
bracis-28423	100	27	pattern	pattern	NOUN
bracis-28423	100	28	 	 	SPACE
bracis-28423	101	1	[	[	X
bracis-28423	101	2	1	1	NUM
bracis-28423	101	3	]	]	PUNCT
bracis-28423	101	4	.	.	PUNCT
bracis-28423	102	1	thus	thus	ADV
bracis-28423	102	2	,	,	PUNCT
bracis-28423	102	3	through	through	ADP
bracis-28423	102	4	the	the	DET
bracis-28423	102	5	partition	partition	NOUN
bracis-28423	102	6	\(s=\{s_1	\(s=\{s_1	PROPN
bracis-28423	102	7	,	,	PUNCT
bracis-28423	102	8	\ldots	\ldots	INTJ
bracis-28423	102	9	,	,	PUNCT
bracis-28423	102	10	s_k\}\	s_k\}\	NOUN
bracis-28423	102	11	)	)	PUNCT
bracis-28423	102	12	containing	contain	VERB
bracis-28423	102	13	k	k	PROPN
bracis-28423	102	14	clusters	cluster	NOUN
bracis-28423	102	15	,	,	PUNCT
bracis-28423	102	16	obtained	obtain	VERB
bracis-28423	102	17	by	by	ADP
bracis-28423	102	18	a	a	DET
bracis-28423	102	19	clustering	clustering	ADJ
bracis-28423	102	20	algorithm	algorithm	NOUN
bracis-28423	102	21	,	,	PUNCT
bracis-28423	102	22	we	we	PRON
bracis-28423	102	23	define	define	VERB
bracis-28423	102	24	\(f_1(s_l)\	\(f_1(s_l)\	NOUN
bracis-28423	102	25	)	)	PUNCT
bracis-28423	102	26	as	as	ADP
bracis-28423	102	27	the	the	DET
bracis-28423	102	28	collection	collection	NOUN
bracis-28423	102	29	of	of	ADP
bracis-28423	102	30	all	all	DET
bracis-28423	102	31	\(n_l	\(n_l	ADJ
bracis-28423	102	32	\ge	\ge	PROPN
bracis-28423	102	33	0\	0\	PROPN
bracis-28423	102	34	)	)	PUNCT
bracis-28423	102	35	frequent	frequent	ADJ
bracis-28423	102	36	patterns	pattern	NOUN
bracis-28423	102	37	with	with	ADP
bracis-28423	102	38	length	length	NOUN
bracis-28423	102	39	1	1	NUM
bracis-28423	102	40	contained	contain	VERB
bracis-28423	102	41	in	in	ADP
bracis-28423	102	42	\(s_l\	\(s_l\	PROPN
bracis-28423	102	43	)	)	PUNCT
bracis-28423	102	44	,	,	PUNCT
bracis-28423	102	45	each	each	PRON
bracis-28423	102	46	with	with	ADP
bracis-28423	102	47	a	a	DET
bracis-28423	102	48	support	support	NOUN
bracis-28423	102	49	value	value	NOUN
bracis-28423	102	50	\(\sigma	\(\sigma	NOUN
bracis-28423	102	51	_	_	PUNCT
bracis-28423	103	1	l\	l\	ADJ
bracis-28423	103	2	)	)	PUNCT
bracis-28423	103	3	assigned	assign	VERB
bracis-28423	103	4	,	,	PUNCT
bracis-28423	103	5	which	which	PRON
bracis-28423	103	6	represent	represent	VERB
bracis-28423	103	7	the	the	DET
bracis-28423	103	8	semantic	semantic	ADJ
bracis-28423	103	9	description	description	NOUN
bracis-28423	103	10	of	of	ADP
bracis-28423	103	11	the	the	DET
bracis-28423	103	12	respective	respective	ADJ
bracis-28423	103	13	cluster	cluster	NOUN
bracis-28423	103	14	.	.	PUNCT
bracis-28423	104	1	after	after	ADP
bracis-28423	104	2	that	that	PRON
bracis-28423	104	3	we	we	PRON
bracis-28423	104	4	evaluate	evaluate	VERB
bracis-28423	104	5	the	the	DET
bracis-28423	104	6	potential	potential	NOUN
bracis-28423	104	7	of	of	ADP
bracis-28423	104	8	the	the	DET
bracis-28423	104	9	sets	set	NOUN
bracis-28423	104	10	of	of	ADP
bracis-28423	104	11	items	item	NOUN
bracis-28423	104	12	to	to	PART
bracis-28423	104	13	perform	perform	VERB
bracis-28423	104	14	the	the	DET
bracis-28423	104	15	semantic	semantic	ADJ
bracis-28423	104	16	description	description	NOUN
bracis-28423	104	17	of	of	ADP
bracis-28423	104	18	the	the	DET
bracis-28423	104	19	clusters	cluster	NOUN
bracis-28423	104	20	.	.	PUNCT
bracis-28423	105	1	for	for	ADP
bracis-28423	105	2	this	this	PRON
bracis-28423	105	3	,	,	PUNCT
bracis-28423	105	4	we	we	PRON
bracis-28423	105	5	propose	propose	VERB
bracis-28423	105	6	the	the	DET
bracis-28423	105	7	support	support	NOUN
bracis-28423	105	8	,	,	PUNCT
bracis-28423	105	9	length	length	NOUN
bracis-28423	105	10	,	,	PUNCT
bracis-28423	105	11	exclusivity	exclusivity	NOUN
bracis-28423	105	12	and	and	CCONJ
bracis-28423	105	13	difference	difference	NOUN
bracis-28423	105	14	for	for	ADP
bracis-28423	105	15	group	group	NOUN
bracis-28423	105	16	evaluation	evaluation	NOUN
bracis-28423	105	17	(	(	PUNCT
bracis-28423	105	18	sledge	sledge	NOUN
bracis-28423	105	19	)	)	PUNCT
bracis-28423	105	20	index	index	NOUN
bracis-28423	105	21	,	,	PUNCT
bracis-28423	105	22	where	where	SCONJ
bracis-28423	105	23	the	the	DET
bracis-28423	105	24	support	support	NOUN
bracis-28423	105	25	values	value	NOUN
bracis-28423	105	26	found	find	VERB
bracis-28423	105	27	,	,	PUNCT
bracis-28423	105	28	set	set	ADJ
bracis-28423	105	29	size	size	NOUN
bracis-28423	105	30	,	,	PUNCT
bracis-28423	105	31	exclusivity	exclusivity	NOUN
bracis-28423	105	32	and	and	CCONJ
bracis-28423	105	33	support	support	NOUN
bracis-28423	105	34	variability	variability	NOUN
bracis-28423	105	35	between	between	ADP
bracis-28423	105	36	items	item	NOUN
bracis-28423	105	37	are	be	AUX
bracis-28423	105	38	evaluated	evaluate	VERB
bracis-28423	105	39	,	,	PUNCT
bracis-28423	105	40	respectively	respectively	ADV
bracis-28423	105	41	.	.	PUNCT
bracis-28423	106	1	thus	thus	ADV
bracis-28423	106	2	,	,	PUNCT
bracis-28423	106	3	each	each	PRON
bracis-28423	106	4	of	of	ADP
bracis-28423	106	5	the	the	DET
bracis-28423	106	6	indicators	indicator	NOUN
bracis-28423	106	7	that	that	PRON
bracis-28423	106	8	are	be	AUX
bracis-28423	106	9	part	part	NOUN
bracis-28423	106	10	of	of	ADP
bracis-28423	106	11	the	the	DET
bracis-28423	106	12	index	index	NOUN
bracis-28423	106	13	are	be	AUX
bracis-28423	106	14	presented	present	VERB
bracis-28423	106	15	in	in	ADP
bracis-28423	106	16	the	the	DET
bracis-28423	106	17	subsections	subsection	NOUN
bracis-28423	106	18	that	that	PRON
bracis-28423	106	19	follow	follow	VERB
bracis-28423	106	20	.	.	PUNCT
bracis-28423	107	1	support	support	NOUN
bracis-28423	107	2	.	.	PUNCT
bracis-28423	108	1	the	the	DET
bracis-28423	108	2	indicator	indicator	NOUN
bracis-28423	108	3	\(s_{f_1(s_l)}\	\(s_{f_1(s_l)}\	NOUN
bracis-28423	108	4	)	)	PUNCT
bracis-28423	108	5	is	be	AUX
bracis-28423	108	6	calculated	calculate	VERB
bracis-28423	108	7	from	from	ADP
bracis-28423	108	8	the	the	DET
bracis-28423	108	9	average	average	NOUN
bracis-28423	108	10	of	of	ADP
bracis-28423	108	11	support	support	NOUN
bracis-28423	108	12	values	value	NOUN
bracis-28423	108	13	\(\sigma	\(\sigma	NOUN
bracis-28423	108	14	_	_	PUNCT
bracis-28423	108	15	{	{	PUNCT
bracis-28423	108	16	l}\	l}\	PROPN
bracis-28423	108	17	)	)	PUNCT
bracis-28423	108	18	of	of	ADP
bracis-28423	108	19	the	the	DET
bracis-28423	108	20	collection	collection	NOUN
bracis-28423	108	21	of	of	ADP
bracis-28423	108	22	frequent	frequent	ADJ
bracis-28423	108	23	patterns	pattern	NOUN
bracis-28423	108	24	belonging	belong	VERB
bracis-28423	108	25	to	to	ADP
bracis-28423	108	26	\(f_1(s_l)\	\(f_1(s_l)\	NOUN
bracis-28423	108	27	)	)	PUNCT
bracis-28423	108	28	by	by	ADP
bracis-28423	108	29	the	the	DET
bracis-28423	108	30	equation	equation	NOUN
bracis-28423	109	1	$	$	SYM
bracis-28423	109	2	$	$	SYM
bracis-28423	109	3	\begin{aligned	\begin{aligne	VERB
bracis-28423	109	4	}	}	PUNCT
bracis-28423	109	5	s_{f_1(s_l	s_{f_1(s_l	PROPN
bracis-28423	109	6	)	)	PUNCT
bracis-28423	109	7	}	}	PUNCT
bracis-28423	110	1	=	=	PUNCT
bracis-28423	110	2	\frac{1}{n_l	\frac{1}{n_l	ADJ
bracis-28423	110	3	}	}	PUNCT
bracis-28423	110	4	\sum	\sum	NOUN
bracis-28423	110	5	_	_	PUNCT
bracis-28423	110	6	{	{	PUNCT
bracis-28423	111	1	\sigma	\sigma	PROPN
bracis-28423	111	2	_	_	PUNCT
bracis-28423	111	3	{	{	PUNCT
bracis-28423	111	4	l	l	ADJ
bracis-28423	111	5	}	}	PUNCT
bracis-28423	111	6	\in	\in	PROPN
bracis-28423	111	7	f_1(s_l	f_1(s_l	PROPN
bracis-28423	111	8	)	)	PUNCT
bracis-28423	111	9	}	}	PUNCT
bracis-28423	112	1	\sigma	\sigma	PROPN
bracis-28423	112	2	_	_	PUNCT
bracis-28423	112	3	{	{	PUNCT
bracis-28423	112	4	l	l	NOUN
bracis-28423	112	5	}	}	PUNCT
bracis-28423	112	6	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	112	7	(	(	PUNCT
bracis-28423	112	8	1	1	NUM
bracis-28423	112	9	)	)	PUNCT
bracis-28423	112	10	when	when	SCONJ
bracis-28423	112	11	\(n_l	\(n_l	AUX
bracis-28423	112	12	\ge	\ge	PROPN
bracis-28423	112	13	1\	1\	NUM
bracis-28423	112	14	)	)	PUNCT
bracis-28423	112	15	,	,	PUNCT
bracis-28423	112	16	otherwise	otherwise	ADV
bracis-28423	112	17	the	the	DET
bracis-28423	112	18	indicator	indicator	NOUN
bracis-28423	112	19	is	be	AUX
bracis-28423	112	20	equal	equal	ADJ
bracis-28423	112	21	to	to	ADP
bracis-28423	112	22	zero	zero	NUM
bracis-28423	112	23	.	.	PUNCT
bracis-28423	113	1	we	we	PRON
bracis-28423	113	2	suggest	suggest	VERB
bracis-28423	113	3	that	that	SCONJ
bracis-28423	113	4	clusters	cluster	NOUN
bracis-28423	113	5	described	describe	VERB
bracis-28423	113	6	with	with	ADP
bracis-28423	113	7	frequent	frequent	ADJ
bracis-28423	113	8	patterns	pattern	NOUN
bracis-28423	113	9	of	of	ADP
bracis-28423	113	10	greater	great	ADJ
bracis-28423	113	11	support	support	NOUN
bracis-28423	113	12	between	between	ADP
bracis-28423	113	13	items	item	NOUN
bracis-28423	113	14	are	be	AUX
bracis-28423	113	15	better	well	ADJ
bracis-28423	113	16	,	,	PUNCT
bracis-28423	113	17	as	as	ADP
bracis-28423	113	18	this	this	DET
bracis-28423	113	19	way	way	NOUN
bracis-28423	113	20	we	we	PRON
bracis-28423	113	21	can	can	AUX
bracis-28423	113	22	infer	infer	VERB
bracis-28423	113	23	more	more	ADV
bracis-28423	113	24	accurate	accurate	ADJ
bracis-28423	113	25	information	information	NOUN
bracis-28423	113	26	about	about	ADP
bracis-28423	113	27	the	the	DET
bracis-28423	113	28	data	data	NOUN
bracis-28423	113	29	points	point	NOUN
bracis-28423	113	30	belonging	belong	VERB
bracis-28423	113	31	to	to	ADP
bracis-28423	113	32	the	the	DET
bracis-28423	113	33	cluster	cluster	NOUN
bracis-28423	113	34	.	.	PUNCT
bracis-28423	114	1	length	length	NOUN
bracis-28423	114	2	.	.	PUNCT
bracis-28423	115	1	to	to	PART
bracis-28423	115	2	calculate	calculate	VERB
bracis-28423	115	3	this	this	DET
bracis-28423	115	4	indicator	indicator	NOUN
bracis-28423	115	5	we	we	PRON
bracis-28423	115	6	initially	initially	ADV
bracis-28423	115	7	get	get	VERB
bracis-28423	115	8	the	the	DET
bracis-28423	115	9	average	average	ADJ
bracis-28423	115	10	cardinality	cardinality	NOUN
bracis-28423	115	11	based	base	VERB
bracis-28423	115	12	on	on	ADP
bracis-28423	115	13	the	the	DET
bracis-28423	115	14	number	number	NOUN
bracis-28423	115	15	of	of	ADP
bracis-28423	115	16	frequent	frequent	ADJ
bracis-28423	115	17	patterns	pattern	NOUN
bracis-28423	115	18	in	in	ADP
bracis-28423	115	19	all	all	DET
bracis-28423	115	20	partitions	partition	NOUN
bracis-28423	115	21	by	by	ADP
bracis-28423	115	22	the	the	DET
bracis-28423	115	23	equation	equation	NOUN
bracis-28423	115	24	$	$	SYM
bracis-28423	115	25	$	$	SYM
bracis-28423	115	26	\begin{aligned	\begin{aligne	VERB
bracis-28423	115	27	}	}	PUNCT
bracis-28423	115	28	\bar{n}_{f_1(s	\bar{n}_{f_1(s	PROPN
bracis-28423	115	29	)	)	PUNCT
bracis-28423	115	30	}	}	PUNCT
bracis-28423	115	31	=	=	PUNCT
bracis-28423	115	32	\frac{1}{k	\frac{1}{k	NOUN
bracis-28423	115	33	}	}	PUNCT
bracis-28423	115	34	\sum	\sum	NOUN
bracis-28423	116	1	_	_	PUNCT
bracis-28423	116	2	{	{	PUNCT
bracis-28423	116	3	l}^{k	l}^{k	PROPN
bracis-28423	116	4	}	}	PUNCT
bracis-28423	116	5	n_l	n_l	PUNCT
bracis-28423	117	1	\text	\text	ADJ
bracis-28423	117	2	{	{	PUNCT
bracis-28423	117	3	,	,	PUNCT
bracis-28423	117	4	}	}	PUNCT
bracis-28423	117	5	\end{aligned}$$	\end{aligned}$$	ADP
bracis-28423	117	6	where	where	SCONJ
bracis-28423	117	7	k	k	PROPN
bracis-28423	117	8	represents	represent	VERB
bracis-28423	117	9	the	the	DET
bracis-28423	117	10	number	number	NOUN
bracis-28423	117	11	of	of	ADP
bracis-28423	117	12	clusters	cluster	NOUN
bracis-28423	117	13	.	.	PUNCT
bracis-28423	118	1	then	then	ADV
bracis-28423	118	2	,	,	PUNCT
bracis-28423	118	3	we	we	PRON
bracis-28423	118	4	obtain	obtain	VERB
bracis-28423	118	5	the	the	DET
bracis-28423	118	6	indicator	indicator	NOUN
bracis-28423	118	7	through	through	ADP
bracis-28423	118	8	the	the	DET
bracis-28423	118	9	equation	equation	NOUN
bracis-28423	118	10	$	$	SYM
bracis-28423	118	11	$	$	SYM
bracis-28423	118	12	\begin{aligned	\begin{aligne	VERB
bracis-28423	118	13	}	}	PUNCT
bracis-28423	118	14	l_{f_1(s_l	l_{f_1(s_l	PROPN
bracis-28423	118	15	)	)	PUNCT
bracis-28423	118	16	}	}	PUNCT
bracis-28423	119	1	=	=	SYM
bracis-28423	119	2	\frac{1}{1+\left|	\frac{1}{1+\left|	NOUN
bracis-28423	119	3	n_l	n_l	PUNCT
bracis-28423	119	4	\bar{n}_{f_1(s	\bar{n}_{f_1(s	PROPN
bracis-28423	119	5	)	)	PUNCT
bracis-28423	119	6	}	}	PUNCT
bracis-28423	119	7	\right|	\right|	NOUN
bracis-28423	119	8	}	}	PUNCT
bracis-28423	119	9	\text	\text	PROPN
bracis-28423	119	10	{	{	PUNCT
bracis-28423	119	11	.	.	PUNCT
bracis-28423	119	12	}	}	PUNCT
bracis-28423	119	13	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	119	14	(	(	PUNCT
bracis-28423	119	15	2	2	X
bracis-28423	119	16	)	)	PUNCT
bracis-28423	119	17	we	we	PRON
bracis-28423	119	18	suggest	suggest	VERB
bracis-28423	119	19	that	that	SCONJ
bracis-28423	119	20	clusters	cluster	NOUN
bracis-28423	119	21	are	be	AUX
bracis-28423	119	22	best	well	ADV
bracis-28423	119	23	described	describe	VERB
bracis-28423	119	24	when	when	SCONJ
bracis-28423	119	25	they	they	PRON
bracis-28423	119	26	have	have	VERB
bracis-28423	119	27	an	an	DET
bracis-28423	119	28	average	average	ADJ
bracis-28423	119	29	cardinality	cardinality	NOUN
bracis-28423	119	30	of	of	ADP
bracis-28423	119	31	frequent	frequent	ADJ
bracis-28423	119	32	patterns	pattern	NOUN
bracis-28423	119	33	,	,	PUNCT
bracis-28423	119	34	given	give	VERB
bracis-28423	119	35	that	that	SCONJ
bracis-28423	119	36	either	either	CCONJ
bracis-28423	119	37	the	the	DET
bracis-28423	119	38	presence	presence	NOUN
bracis-28423	119	39	of	of	ADP
bracis-28423	119	40	a	a	DET
bracis-28423	119	41	large	large	ADJ
bracis-28423	119	42	or	or	CCONJ
bracis-28423	119	43	small	small	ADJ
bracis-28423	119	44	number	number	NOUN
bracis-28423	119	45	of	of	ADP
bracis-28423	119	46	these	these	PRON
bracis-28423	119	47	should	should	AUX
bracis-28423	119	48	be	be	AUX
bracis-28423	119	49	insufficient	insufficient	ADJ
bracis-28423	119	50	to	to	PART
bracis-28423	119	51	accurately	accurately	ADV
bracis-28423	119	52	define	define	VERB
bracis-28423	119	53	the	the	DET
bracis-28423	119	54	semantic	semantic	ADJ
bracis-28423	119	55	description	description	NOUN
bracis-28423	119	56	of	of	ADP
bracis-28423	119	57	the	the	DET
bracis-28423	119	58	cluster	cluster	NOUN
bracis-28423	119	59	.	.	PUNCT
bracis-28423	120	1	exclusivity	exclusivity	NOUN
bracis-28423	120	2	.	.	PUNCT
bracis-28423	121	1	the	the	DET
bracis-28423	121	2	\(e_{f_1(s_l)}\	\(e_{f_1(s_l)}\	NOUN
bracis-28423	121	3	)	)	PUNCT
bracis-28423	121	4	indicator	indicator	NOUN
bracis-28423	121	5	is	be	AUX
bracis-28423	121	6	related	relate	VERB
bracis-28423	121	7	to	to	ADP
bracis-28423	121	8	the	the	DET
bracis-28423	121	9	number	number	NOUN
bracis-28423	121	10	of	of	ADP
bracis-28423	121	11	exclusive	exclusive	ADJ
bracis-28423	121	12	frequent	frequent	ADJ
bracis-28423	121	13	patterns	pattern	NOUN
bracis-28423	121	14	within	within	ADP
bracis-28423	121	15	the	the	DET
bracis-28423	121	16	cluster	cluster	NOUN
bracis-28423	121	17	and	and	CCONJ
bracis-28423	121	18	is	be	AUX
bracis-28423	121	19	calculated	calculate	VERB
bracis-28423	121	20	by	by	ADP
bracis-28423	121	21	the	the	DET
bracis-28423	121	22	function	function	NOUN
bracis-28423	121	23	$	$	SYM
bracis-28423	121	24	$	$	SYM
bracis-28423	121	25	\begin{aligned	\begin{aligne	VERB
bracis-28423	121	26	}	}	PUNCT
bracis-28423	121	27	e_{f_1(s_l	e_{f_1(s_l	NOUN
bracis-28423	121	28	)	)	PUNCT
bracis-28423	121	29	}	}	PUNCT
bracis-28423	122	1	=	=	PUNCT
bracis-28423	122	2	1	1	NUM
bracis-28423	122	3	\frac{\hat{e}_l}{n_l}\text	\frac{\hat{e}_l}{n_l}\text	X
bracis-28423	122	4	{	{	PUNCT
bracis-28423	122	5	,	,	PUNCT
bracis-28423	122	6	}	}	PUNCT
bracis-28423	122	7	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	122	8	(	(	PUNCT
bracis-28423	122	9	3	3	NUM
bracis-28423	122	10	)	)	PUNCT
bracis-28423	122	11	where	where	SCONJ
bracis-28423	122	12	\(\hat{e}_l\	\(\hat{e}_l\	NOUN
bracis-28423	122	13	)	)	PUNCT
bracis-28423	122	14	is	be	AUX
bracis-28423	122	15	the	the	DET
bracis-28423	122	16	number	number	NOUN
bracis-28423	122	17	of	of	ADP
bracis-28423	122	18	non	non	ADJ
bracis-28423	122	19	-	-	ADJ
bracis-28423	122	20	exclusive	exclusive	ADJ
bracis-28423	122	21	frequent	frequent	ADJ
bracis-28423	122	22	patterns	pattern	NOUN
bracis-28423	122	23	of	of	ADP
bracis-28423	122	24	the	the	DET
bracis-28423	122	25	cluster	cluster	NOUN
bracis-28423	122	26	compared	compare	VERB
bracis-28423	122	27	to	to	ADP
bracis-28423	122	28	others	other	NOUN
bracis-28423	122	29	\(k-1\	\(k-1\	NOUN
bracis-28423	122	30	)	)	PUNCT
bracis-28423	122	31	clusters	cluster	VERB
bracis-28423	122	32	g	g	ADP
bracis-28423	122	33	such	such	ADJ
bracis-28423	122	34	that	that	SCONJ
bracis-28423	122	35	\(g	\(g	ADJ
bracis-28423	122	36	\ne	\ne	PROPN
bracis-28423	122	37	j\	j\	PROPN
bracis-28423	122	38	)	)	PUNCT
bracis-28423	122	39	.	.	PUNCT
bracis-28423	123	1	we	we	PRON
bracis-28423	123	2	suggest	suggest	VERB
bracis-28423	123	3	that	that	SCONJ
bracis-28423	123	4	clusters	cluster	NOUN
bracis-28423	123	5	with	with	ADP
bracis-28423	123	6	exclusive	exclusive	ADJ
bracis-28423	123	7	frequent	frequent	ADJ
bracis-28423	123	8	patterns	pattern	NOUN
bracis-28423	123	9	are	be	AUX
bracis-28423	123	10	better	well	ADV
bracis-28423	123	11	defined	define	VERB
bracis-28423	123	12	in	in	ADP
bracis-28423	123	13	relation	relation	NOUN
bracis-28423	123	14	to	to	ADP
bracis-28423	123	15	the	the	DET
bracis-28423	123	16	others	other	NOUN
bracis-28423	123	17	that	that	PRON
bracis-28423	123	18	have	have	VERB
bracis-28423	123	19	more	more	ADJ
bracis-28423	123	20	common	common	ADJ
bracis-28423	123	21	patterns	pattern	NOUN
bracis-28423	123	22	.	.	PUNCT
bracis-28423	124	1	difference	difference	NOUN
bracis-28423	124	2	.	.	PUNCT
bracis-28423	125	1	this	this	DET
bracis-28423	125	2	indicator	indicator	NOUN
bracis-28423	125	3	assess	assess	VERB
bracis-28423	125	4	the	the	DET
bracis-28423	125	5	maximum	maximum	ADJ
bracis-28423	125	6	variability	variability	NOUN
bracis-28423	125	7	among	among	ADP
bracis-28423	125	8	the	the	DET
bracis-28423	125	9	frequent	frequent	ADJ
bracis-28423	125	10	patterns	pattern	NOUN
bracis-28423	125	11	that	that	PRON
bracis-28423	125	12	describe	describe	VERB
bracis-28423	125	13	each	each	DET
bracis-28423	125	14	cluster	cluster	NOUN
bracis-28423	125	15	.	.	PUNCT
bracis-28423	126	1	if	if	SCONJ
bracis-28423	126	2	there	there	PRON
bracis-28423	126	3	is	be	VERB
bracis-28423	126	4	more	more	ADJ
bracis-28423	126	5	than	than	ADP
bracis-28423	126	6	1	1	NUM
bracis-28423	126	7	pattern	pattern	NOUN
bracis-28423	126	8	,	,	PUNCT
bracis-28423	126	9	the	the	DET
bracis-28423	126	10	indicator	indicator	NOUN
bracis-28423	126	11	is	be	AUX
bracis-28423	126	12	calculated	calculate	VERB
bracis-28423	126	13	by	by	ADP
bracis-28423	126	14	taking	take	VERB
bracis-28423	126	15	the	the	DET
bracis-28423	126	16	maximum	maximum	ADJ
bracis-28423	126	17	difference	difference	NOUN
bracis-28423	126	18	\(\delta	\(\delta	NOUN
bracis-28423	126	19	_	_	PUNCT
bracis-28423	126	20	{	{	PUNCT
bracis-28423	126	21	max}\	max}\	PROPN
bracis-28423	126	22	)	)	PUNCT
bracis-28423	126	23	between	between	ADP
bracis-28423	126	24	the	the	DET
bracis-28423	126	25	support	support	NOUN
bracis-28423	126	26	values	value	NOUN
bracis-28423	126	27	of	of	ADP
bracis-28423	126	28	all	all	DET
bracis-28423	126	29	frequent	frequent	ADJ
bracis-28423	126	30	patterns	pattern	NOUN
bracis-28423	126	31	belonging	belong	VERB
bracis-28423	126	32	to	to	ADP
bracis-28423	126	33	\(f_1(s_l)\	\(f_1(s_l)\	NOUN
bracis-28423	126	34	)	)	PUNCT
bracis-28423	126	35	.	.	PUNCT
bracis-28423	127	1	if	if	SCONJ
bracis-28423	127	2	there	there	PRON
bracis-28423	127	3	is	be	VERB
bracis-28423	127	4	only	only	ADV
bracis-28423	127	5	1	1	NUM
bracis-28423	127	6	pattern	pattern	NOUN
bracis-28423	127	7	,	,	PUNCT
bracis-28423	127	8	the	the	DET
bracis-28423	127	9	value	value	NOUN
bracis-28423	127	10	of	of	ADP
bracis-28423	127	11	the	the	DET
bracis-28423	127	12	indicator	indicator	NOUN
bracis-28423	127	13	will	will	AUX
bracis-28423	127	14	be	be	AUX
bracis-28423	127	15	its	its	PRON
bracis-28423	127	16	own	own	ADJ
bracis-28423	127	17	support	support	NOUN
bracis-28423	127	18	value	value	NOUN
bracis-28423	127	19	and	and	CCONJ
bracis-28423	127	20	if	if	SCONJ
bracis-28423	127	21	there	there	PRON
bracis-28423	127	22	are	be	VERB
bracis-28423	127	23	no	no	DET
bracis-28423	127	24	patterns	pattern	NOUN
bracis-28423	127	25	,	,	PUNCT
bracis-28423	127	26	the	the	DET
bracis-28423	127	27	value	value	NOUN
bracis-28423	127	28	will	will	AUX
bracis-28423	127	29	be	be	AUX
bracis-28423	127	30	null	null	ADJ
bracis-28423	127	31	,	,	PUNCT
bracis-28423	127	32	as	as	SCONJ
bracis-28423	127	33	described	describe	VERB
bracis-28423	127	34	by	by	ADP
bracis-28423	127	35	the	the	DET
bracis-28423	127	36	function	function	NOUN
bracis-28423	127	37	such	such	ADJ
bracis-28423	127	38	$	$	SYM
bracis-28423	127	39	$	$	SYM
bracis-28423	127	40	\begin{aligned	\begin{aligne	VERB
bracis-28423	127	41	}	}	PUNCT
bracis-28423	127	42	d_{f_1(s_l	d_{f_1(s_l	PROPN
bracis-28423	127	43	)	)	PUNCT
bracis-28423	127	44	}	}	PUNCT
bracis-28423	128	1	=	=	SYM
bracis-28423	128	2	{	{	PUNCT
bracis-28423	128	3	\left\	\left\	PROPN
bracis-28423	128	4	{	{	PUNCT
bracis-28423	128	5	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28423	128	6	}	}	PUNCT
bracis-28423	128	7	\sigma	\sigma	PROPN
bracis-28423	128	8	_	_	PUNCT
bracis-28423	128	9	{	{	PUNCT
bracis-28423	128	10	l	l	NOUN
bracis-28423	128	11	}	}	PUNCT
bracis-28423	128	12	&	&	CCONJ
bracis-28423	128	13	{	{	PUNCT
bracis-28423	128	14	}	}	PUNCT
bracis-28423	128	15	\text	\text	ADV
bracis-28423	128	16	{	{	PUNCT
bracis-28423	128	17	if	if	SCONJ
bracis-28423	128	18	}	}	PUNCT
bracis-28423	128	19	n_l	n_l	PUNCT
bracis-28423	129	1	=	=	SYM
bracis-28423	129	2	1\text	1\text	NUM
bracis-28423	129	3	{	{	PUNCT
bracis-28423	129	4	,	,	PUNCT
bracis-28423	129	5	}	}	PUNCT
bracis-28423	129	6	\\	\\	NOUN
bracis-28423	129	7	\sqrt{\delta	\sqrt{\delta	VERB
bracis-28423	129	8	_	_	PUNCT
bracis-28423	129	9	{	{	PUNCT
bracis-28423	129	10	max	max	PROPN
bracis-28423	129	11	}	}	PUNCT
bracis-28423	129	12	\left\	\left\	PROPN
bracis-28423	129	13	{	{	PUNCT
bracis-28423	129	14	f_1(s_l	f_1(s_l	PROPN
bracis-28423	129	15	)	)	PUNCT
bracis-28423	129	16	\right\	\right\	ADV
bracis-28423	129	17	}	}	PUNCT
bracis-28423	129	18	}	}	PUNCT
bracis-28423	129	19	&	&	CCONJ
bracis-28423	129	20	{	{	PUNCT
bracis-28423	129	21	}	}	PUNCT
bracis-28423	129	22	\text	\text	ADV
bracis-28423	129	23	{	{	PUNCT
bracis-28423	129	24	if	if	SCONJ
bracis-28423	129	25	}	}	PUNCT
bracis-28423	129	26	n_l	n_l	PUNCT
bracis-28423	129	27	>	>	X
bracis-28423	129	28	1\text	1\text	NUM
bracis-28423	129	29	{	{	PUNCT
bracis-28423	129	30	,	,	PUNCT
bracis-28423	129	31	}	}	PUNCT
bracis-28423	129	32	\\	\\	NOUN
bracis-28423	129	33	0	0	PUNCT
bracis-28423	130	1	&	&	CCONJ
bracis-28423	130	2	{	{	PUNCT
bracis-28423	130	3	}	}	PUNCT
bracis-28423	130	4	\text	\text	ADV
bracis-28423	130	5	{	{	PUNCT
bracis-28423	130	6	otherwise	otherwise	ADV
bracis-28423	130	7	.	.	PUNCT
bracis-28423	131	1	}	}	PUNCT
bracis-28423	132	1	\end{array}\right	\end{array}\right	PROPN
bracis-28423	132	2	.	.	PUNCT
bracis-28423	132	3	}	}	PUNCT
bracis-28423	132	4	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	132	5	(	(	PUNCT
bracis-28423	132	6	4	4	NUM
bracis-28423	132	7	)	)	PUNCT
bracis-28423	132	8	as	as	SCONJ
bracis-28423	132	9	the	the	DET
bracis-28423	132	10	variation	variation	NOUN
bracis-28423	132	11	is	be	AUX
bracis-28423	132	12	small	small	ADJ
bracis-28423	132	13	between	between	ADP
bracis-28423	132	14	the	the	DET
bracis-28423	132	15	values	value	NOUN
bracis-28423	132	16	of	of	ADP
bracis-28423	132	17	the	the	DET
bracis-28423	132	18	supports	support	NOUN
bracis-28423	132	19	,	,	PUNCT
bracis-28423	132	20	we	we	PRON
bracis-28423	132	21	decided	decide	VERB
bracis-28423	132	22	to	to	PART
bracis-28423	132	23	increase	increase	VERB
bracis-28423	132	24	the	the	DET
bracis-28423	132	25	influence	influence	NOUN
bracis-28423	132	26	by	by	ADP
bracis-28423	132	27	the	the	DET
bracis-28423	132	28	square	square	ADJ
bracis-28423	132	29	root	root	NOUN
bracis-28423	132	30	.	.	PUNCT
bracis-28423	133	1	we	we	PRON
bracis-28423	133	2	assume	assume	VERB
bracis-28423	133	3	that	that	SCONJ
bracis-28423	133	4	greater	great	ADJ
bracis-28423	133	5	variation	variation	NOUN
bracis-28423	133	6	between	between	ADP
bracis-28423	133	7	support	support	NOUN
bracis-28423	133	8	values	value	NOUN
bracis-28423	133	9	within	within	ADP
bracis-28423	133	10	the	the	DET
bracis-28423	133	11	cluster	cluster	NOUN
bracis-28423	133	12	is	be	AUX
bracis-28423	133	13	better	well	ADJ
bracis-28423	133	14	for	for	ADP
bracis-28423	133	15	a	a	DET
bracis-28423	133	16	more	more	ADV
bracis-28423	133	17	accurate	accurate	ADJ
bracis-28423	133	18	semantic	semantic	ADJ
bracis-28423	133	19	description	description	NOUN
bracis-28423	133	20	.	.	PUNCT
bracis-28423	134	1	given	give	VERB
bracis-28423	134	2	that	that	SCONJ
bracis-28423	134	3	there	there	PRON
bracis-28423	134	4	are	be	VERB
bracis-28423	134	5	less	less	ADV
bracis-28423	134	6	representative	representative	ADJ
bracis-28423	134	7	frequent	frequent	ADJ
bracis-28423	134	8	patterns	pattern	NOUN
bracis-28423	134	9	within	within	ADP
bracis-28423	134	10	the	the	DET
bracis-28423	134	11	cluster	cluster	NOUN
bracis-28423	134	12	,	,	PUNCT
bracis-28423	134	13	we	we	PRON
bracis-28423	134	14	expect	expect	VERB
bracis-28423	134	15	that	that	SCONJ
bracis-28423	134	16	the	the	DET
bracis-28423	134	17	difference	difference	NOUN
bracis-28423	134	18	in	in	ADP
bracis-28423	134	19	proportion	proportion	NOUN
bracis-28423	134	20	of	of	ADP
bracis-28423	134	21	these	these	PRON
bracis-28423	134	22	in	in	ADP
bracis-28423	134	23	relation	relation	NOUN
bracis-28423	134	24	to	to	ADP
bracis-28423	134	25	the	the	DET
bracis-28423	134	26	largest	large	ADJ
bracis-28423	134	27	values	value	NOUN
bracis-28423	134	28	are	be	AUX
bracis-28423	134	29	as	as	ADV
bracis-28423	134	30	large	large	ADJ
bracis-28423	134	31	as	as	ADP
bracis-28423	134	32	possible	possible	ADJ
bracis-28423	134	33	.	.	PUNCT
bracis-28423	135	1	sledge	sledge	PROPN
bracis-28423	135	2	index	index	PROPN
bracis-28423	135	3	.	.	PUNCT
bracis-28423	136	1	the	the	DET
bracis-28423	136	2	index	index	NOUN
bracis-28423	136	3	of	of	ADP
bracis-28423	136	4	each	each	PRON
bracis-28423	136	5	of	of	ADP
bracis-28423	136	6	the	the	DET
bracis-28423	136	7	j	j	PROPN
bracis-28423	136	8	clusters	cluster	NOUN
bracis-28423	136	9	is	be	AUX
bracis-28423	136	10	calculated	calculate	VERB
bracis-28423	136	11	from	from	ADP
bracis-28423	136	12	the	the	DET
bracis-28423	136	13	median	median	NOUN
bracis-28423	136	14	of	of	ADP
bracis-28423	136	15	the	the	DET
bracis-28423	136	16	indicators	indicator	NOUN
bracis-28423	136	17	obtained	obtain	VERB
bracis-28423	136	18	by	by	ADP
bracis-28423	136	19	the	the	DET
bracis-28423	136	20	eqs	eqs	PROPN
bracis-28423	136	21	.	.	PUNCT
bracis-28423	136	22	 	 	SPACE
bracis-28423	137	1	(	(	PUNCT
bracis-28423	137	2	1	1	X
bracis-28423	137	3	)	)	PUNCT
bracis-28423	137	4	to	to	ADP
bracis-28423	137	5	(	(	PUNCT
bracis-28423	137	6	4	4	NUM
bracis-28423	137	7	)	)	PUNCT
bracis-28423	137	8	and	and	CCONJ
bracis-28423	137	9	the	the	DET
bracis-28423	137	10	global	global	ADJ
bracis-28423	137	11	index	index	NOUN
bracis-28423	137	12	value	value	NOUN
bracis-28423	137	13	(	(	PUNCT
bracis-28423	137	14	sledge	sledge	NOUN
bracis-28423	137	15	)	)	PUNCT
bracis-28423	137	16	is	be	AUX
bracis-28423	137	17	the	the	DET
bracis-28423	137	18	average	average	NOUN
bracis-28423	137	19	of	of	ADP
bracis-28423	137	20	the	the	DET
bracis-28423	137	21	cluster	cluster	NOUN
bracis-28423	137	22	indices	index	NOUN
bracis-28423	137	23	.	.	PUNCT
bracis-28423	138	1	the	the	DET
bracis-28423	138	2	index	index	NOUN
bracis-28423	138	3	evaluates	evaluate	VERB
bracis-28423	138	4	the	the	DET
bracis-28423	138	5	quality	quality	NOUN
bracis-28423	138	6	of	of	ADP
bracis-28423	138	7	each	each	DET
bracis-28423	138	8	grouping	grouping	NOUN
bracis-28423	138	9	and	and	CCONJ
bracis-28423	138	10	of	of	ADP
bracis-28423	138	11	the	the	DET
bracis-28423	138	12	grouping	grouping	NOUN
bracis-28423	138	13	in	in	ADP
bracis-28423	138	14	general	general	ADJ
bracis-28423	138	15	based	base	VERB
bracis-28423	138	16	on	on	ADP
bracis-28423	138	17	the	the	DET
bracis-28423	138	18	semantic	semantic	ADJ
bracis-28423	138	19	description	description	NOUN
bracis-28423	138	20	potential	potential	NOUN
bracis-28423	138	21	given	give	VERB
bracis-28423	138	22	from	from	ADP
bracis-28423	138	23	the	the	DET
bracis-28423	138	24	identified	identify	VERB
bracis-28423	138	25	frequent	frequent	ADJ
bracis-28423	138	26	patterns	pattern	NOUN
bracis-28423	138	27	.	.	PUNCT
bracis-28423	139	1	the	the	PRON
bracis-28423	139	2	higher	high	ADJ
bracis-28423	139	3	the	the	DET
bracis-28423	139	4	index	index	NOUN
bracis-28423	139	5	value	value	NOUN
bracis-28423	139	6	,	,	PUNCT
bracis-28423	139	7	the	the	PRON
bracis-28423	139	8	better	well	ADJ
bracis-28423	139	9	the	the	DET
bracis-28423	139	10	clustering	clustering	ADJ
bracis-28423	139	11	quality	quality	NOUN
bracis-28423	139	12	.	.	PUNCT
bracis-28423	140	1	the	the	DET
bracis-28423	140	2	index	index	NOUN
bracis-28423	140	3	can	can	AUX
bracis-28423	140	4	be	be	AUX
bracis-28423	140	5	easily	easily	ADV
bracis-28423	140	6	obtained	obtain	VERB
bracis-28423	140	7	from	from	ADP
bracis-28423	140	8	a	a	DET
bracis-28423	140	9	specific	specific	ADJ
bracis-28423	140	10	function	function	NOUN
bracis-28423	140	11	(	(	PUNCT
bracis-28423	140	12	sledge_score	sledge_score	NOUN
bracis-28423	140	13	)	)	PUNCT
bracis-28423	140	14	,	,	PUNCT
bracis-28423	140	15	which	which	PRON
bracis-28423	140	16	is	be	AUX
bracis-28423	140	17	part	part	NOUN
bracis-28423	140	18	of	of	ADP
bracis-28423	140	19	a	a	DET
bracis-28423	140	20	package	package	NOUN
bracis-28423	140	21	(	(	PUNCT
bracis-28423	140	22	sledge	sledge	NOUN
bracis-28423	140	23	)	)	PUNCT
bracis-28423	140	24	built	build	VERB
bracis-28423	140	25	in	in	ADP
bracis-28423	140	26	python	python	NOUN
bracis-28423	140	27	and	and	CCONJ
bracis-28423	140	28	available	available	ADJ
bracis-28423	140	29	in	in	ADP
bracis-28423	140	30	a	a	DET
bracis-28423	140	31	repository	repository	NOUN
bracis-28423	140	32	on	on	ADP
bracis-28423	140	33	githubfootnote	githubfootnote	NOUN
bracis-28423	140	34	2	2	NUM
bracis-28423	140	35	.	.	NOUN
bracis-28423	140	36	4	4	NUM
bracis-28423	140	37	synthetic	synthetic	ADJ
bracis-28423	140	38	data	datum	NOUN
bracis-28423	140	39	consider	consider	VERB
bracis-28423	140	40	the	the	DET
bracis-28423	140	41	following	follow	VERB
bracis-28423	140	42	scenario	scenario	NOUN
bracis-28423	140	43	.	.	PUNCT
bracis-28423	141	1	each	each	DET
bracis-28423	141	2	data	datum	NOUN
bracis-28423	141	3	sample	sample	NOUN
bracis-28423	141	4	represents	represent	VERB
bracis-28423	141	5	a	a	DET
bracis-28423	141	6	person	person	NOUN
bracis-28423	141	7	.	.	PUNCT
bracis-28423	142	1	each	each	DET
bracis-28423	142	2	feature	feature	NOUN
bracis-28423	142	3	indicates	indicate	VERB
bracis-28423	142	4	whether	whether	SCONJ
bracis-28423	142	5	such	such	DET
bracis-28423	142	6	a	a	DET
bracis-28423	142	7	person	person	NOUN
bracis-28423	142	8	has	have	VERB
bracis-28423	142	9	a	a	DET
bracis-28423	142	10	certain	certain	ADJ
bracis-28423	142	11	skill	skill	NOUN
bracis-28423	142	12	.	.	PUNCT
bracis-28423	143	1	we	we	PRON
bracis-28423	143	2	assume	assume	VERB
bracis-28423	143	3	that	that	SCONJ
bracis-28423	143	4	people	people	NOUN
bracis-28423	143	5	can	can	AUX
bracis-28423	143	6	be	be	AUX
bracis-28423	143	7	grouped	group	VERB
bracis-28423	143	8	in	in	ADP
bracis-28423	143	9	clusters	cluster	NOUN
bracis-28423	143	10	such	such	ADJ
bracis-28423	143	11	that	that	PRON
bracis-28423	143	12	:	:	PUNCT
bracis-28423	143	13	the	the	DET
bracis-28423	143	14	presence	presence	NOUN
bracis-28423	143	15	/	/	SYM
bracis-28423	143	16	absence	absence	NOUN
bracis-28423	143	17	of	of	ADP
bracis-28423	143	18	a	a	DET
bracis-28423	143	19	certain	certain	ADJ
bracis-28423	143	20	few	few	ADJ
bracis-28423	143	21	features	feature	NOUN
bracis-28423	143	22	(	(	PUNCT
bracis-28423	143	23	called	call	VERB
bracis-28423	143	24	dependent	dependent	ADJ
bracis-28423	143	25	features	feature	NOUN
bracis-28423	143	26	)	)	PUNCT
bracis-28423	143	27	are	be	AUX
bracis-28423	143	28	correlated	correlate	VERB
bracis-28423	143	29	;	;	PUNCT
bracis-28423	143	30	and	and	CCONJ
bracis-28423	143	31	other	other	ADJ
bracis-28423	143	32	features	feature	NOUN
bracis-28423	143	33	may	may	AUX
bracis-28423	143	34	be	be	AUX
bracis-28423	143	35	present	present	ADJ
bracis-28423	143	36	/	/	SYM
bracis-28423	143	37	absent	absent	ADJ
bracis-28423	143	38	independently	independently	ADV
bracis-28423	143	39	.	.	PUNCT
bracis-28423	144	1	dependent	dependent	ADJ
bracis-28423	144	2	features	feature	NOUN
bracis-28423	144	3	vary	vary	VERB
bracis-28423	144	4	among	among	ADP
bracis-28423	144	5	clusters	cluster	NOUN
bracis-28423	144	6	.	.	PUNCT
bracis-28423	145	1	the	the	DET
bracis-28423	145	2	rationale	rationale	NOUN
bracis-28423	145	3	is	be	AUX
bracis-28423	145	4	that	that	SCONJ
bracis-28423	145	5	,	,	PUNCT
bracis-28423	145	6	for	for	ADP
bracis-28423	145	7	a	a	DET
bracis-28423	145	8	particular	particular	ADJ
bracis-28423	145	9	group	group	NOUN
bracis-28423	145	10	of	of	ADP
bracis-28423	145	11	people	people	NOUN
bracis-28423	145	12	,	,	PUNCT
bracis-28423	145	13	some	some	DET
bracis-28423	145	14	features	feature	NOUN
bracis-28423	145	15	are	be	AUX
bracis-28423	145	16	more	more	ADV
bracis-28423	145	17	important	important	ADJ
bracis-28423	145	18	than	than	ADP
bracis-28423	145	19	others	other	NOUN
bracis-28423	145	20	.	.	PUNCT
bracis-28423	146	1	these	these	DET
bracis-28423	146	2	important	important	ADJ
bracis-28423	146	3	features	feature	NOUN
bracis-28423	146	4	appear	appear	VERB
bracis-28423	146	5	more	more	ADV
bracis-28423	146	6	frequent	frequent	ADJ
bracis-28423	146	7	than	than	ADP
bracis-28423	146	8	other	other	ADJ
bracis-28423	146	9	features	feature	NOUN
bracis-28423	146	10	in	in	ADP
bracis-28423	146	11	the	the	DET
bracis-28423	146	12	group	group	NOUN
bracis-28423	146	13	.	.	PUNCT
bracis-28423	147	1	moreover	moreover	ADV
bracis-28423	147	2	,	,	PUNCT
bracis-28423	147	3	they	they	PRON
bracis-28423	147	4	are	be	AUX
bracis-28423	147	5	positively	positively	ADV
bracis-28423	147	6	or	or	CCONJ
bracis-28423	147	7	negatively	negatively	ADV
bracis-28423	147	8	correlated	correlate	VERB
bracis-28423	147	9	.	.	PUNCT
bracis-28423	148	1	for	for	ADP
bracis-28423	148	2	example	example	NOUN
bracis-28423	148	3	,	,	PUNCT
bracis-28423	148	4	it	it	PRON
bracis-28423	148	5	professionals	professional	NOUN
bracis-28423	148	6	usually	usually	ADV
bracis-28423	148	7	share	share	VERB
bracis-28423	148	8	common	common	ADJ
bracis-28423	148	9	skills	skill	NOUN
bracis-28423	148	10	:	:	PUNCT
bracis-28423	148	11	programming	programming	NOUN
bracis-28423	148	12	,	,	PUNCT
bracis-28423	148	13	data	datum	NOUN
bracis-28423	148	14	base	base	NOUN
bracis-28423	148	15	skills	skill	NOUN
bracis-28423	148	16	,	,	PUNCT
bracis-28423	148	17	etc	etc	X
bracis-28423	148	18	.	.	X
bracis-28423	149	1	on	on	ADP
bracis-28423	149	2	the	the	DET
bracis-28423	149	3	other	other	ADJ
bracis-28423	149	4	hand	hand	NOUN
bracis-28423	149	5	,	,	PUNCT
bracis-28423	149	6	the	the	DET
bracis-28423	149	7	presence	presence	NOUN
bracis-28423	149	8	of	of	ADP
bracis-28423	149	9	some	some	DET
bracis-28423	149	10	pairs	pair	NOUN
bracis-28423	149	11	of	of	ADP
bracis-28423	149	12	skills	skill	NOUN
bracis-28423	149	13	may	may	AUX
bracis-28423	149	14	be	be	AUX
bracis-28423	149	15	rare	rare	ADJ
bracis-28423	149	16	.	.	PUNCT
bracis-28423	150	1	for	for	ADP
bracis-28423	150	2	example	example	NOUN
bracis-28423	150	3	,	,	PUNCT
bracis-28423	150	4	it	it	PRON
bracis-28423	150	5	professionals	professional	NOUN
bracis-28423	150	6	who	who	PRON
bracis-28423	150	7	program	program	VERB
bracis-28423	150	8	rarely	rarely	ADV
bracis-28423	150	9	use	use	VERB
bracis-28423	150	10	the	the	DET
bracis-28423	150	11	same	same	ADJ
bracis-28423	150	12	programming	programming	NOUN
bracis-28423	150	13	language	language	NOUN
bracis-28423	150	14	or	or	CCONJ
bracis-28423	150	15	development	development	NOUN
bracis-28423	150	16	environment	environment	NOUN
bracis-28423	150	17	.	.	PUNCT
bracis-28423	151	1	thus	thus	ADV
bracis-28423	151	2	,	,	PUNCT
bracis-28423	151	3	let	let	VERB
bracis-28423	151	4	\(x_{ij}\	\(x_{ij}\	NOUN
bracis-28423	151	5	)	)	PUNCT
bracis-28423	151	6	be	be	AUX
bracis-28423	151	7	the	the	DET
bracis-28423	151	8	indicator	indicator	NOUN
bracis-28423	151	9	whether	whether	SCONJ
bracis-28423	151	10	the	the	DET
bracis-28423	151	11	i	i	PROPN
bracis-28423	151	12	-	-	PUNCT
bracis-28423	151	13	th	th	NOUN
bracis-28423	151	14	person	person	NOUN
bracis-28423	151	15	,	,	PUNCT
bracis-28423	151	16	belonging	belong	VERB
bracis-28423	151	17	to	to	ADP
bracis-28423	151	18	cluster	cluster	NOUN
bracis-28423	151	19	c(i	c(i	NOUN
bracis-28423	151	20	)	)	PUNCT
bracis-28423	151	21	,	,	PUNCT
bracis-28423	151	22	has	have	VERB
bracis-28423	151	23	the	the	DET
bracis-28423	151	24	j	j	PROPN
bracis-28423	151	25	-	-	PUNCT
bracis-28423	151	26	th	th	VERB
bracis-28423	151	27	feature	feature	NOUN
bracis-28423	151	28	.	.	PUNCT
bracis-28423	152	1	we	we	PRON
bracis-28423	152	2	want	want	VERB
bracis-28423	152	3	to	to	PART
bracis-28423	152	4	generate	generate	VERB
bracis-28423	152	5	a	a	DET
bracis-28423	152	6	dataset	dataset	NOUN
bracis-28423	152	7	such	such	ADJ
bracis-28423	152	8	that	that	SCONJ
bracis-28423	152	9	$	$	SYM
bracis-28423	152	10	$	$	SYM
bracis-28423	152	11	\begin{aligned	\begin{aligne	VERB
bracis-28423	152	12	}	}	PUNCT
bracis-28423	152	13	p(x_{ij	p(x_{ij	NOUN
bracis-28423	152	14	}	}	PUNCT
bracis-28423	152	15	=	=	SYM
bracis-28423	152	16	1	1	X
bracis-28423	152	17	)	)	PUNCT
bracis-28423	152	18	\approx	\approx	PROPN
bracis-28423	152	19	{	{	PUNCT
bracis-28423	152	20	\left\	\left\	PROPN
bracis-28423	152	21	{	{	PUNCT
bracis-28423	152	22	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28423	152	23	}	}	PUNCT
bracis-28423	152	24	\lambda	\lambda	PROPN
bracis-28423	152	25	&	&	CCONJ
bracis-28423	152	26	{	{	PUNCT
bracis-28423	152	27	}	}	PUNCT
bracis-28423	152	28	\text	\text	ADV
bracis-28423	152	29	{	{	PUNCT
bracis-28423	152	30	if	if	SCONJ
bracis-28423	152	31	}	}	PUNCT
bracis-28423	152	32	j	j	PROPN
bracis-28423	152	33	\in	\in	PROPN
bracis-28423	152	34	\mathcal	\mathcal	PROPN
bracis-28423	152	35	{	{	PUNCT
bracis-28423	152	36	f}_{c(i	f}_{c(i	NOUN
bracis-28423	152	37	)	)	PUNCT
bracis-28423	152	38	}	}	PUNCT
bracis-28423	152	39	\\	\\	NOUN
bracis-28423	152	40	\epsilon	\epsilon	PROPN
bracis-28423	152	41	&	&	CCONJ
bracis-28423	152	42	{	{	PUNCT
bracis-28423	152	43	}	}	PUNCT
bracis-28423	152	44	\text	\text	ADV
bracis-28423	152	45	{	{	PUNCT
bracis-28423	152	46	otherwise	otherwise	ADV
bracis-28423	152	47	,	,	PUNCT
bracis-28423	152	48	}	}	PUNCT
bracis-28423	152	49	\end{array}\right	\end{array}\right	PROPN
bracis-28423	152	50	.	.	PUNCT
bracis-28423	152	51	}	}	PUNCT
bracis-28423	152	52	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	152	53	(	(	PUNCT
bracis-28423	152	54	5	5	NUM
bracis-28423	152	55	)	)	PUNCT
bracis-28423	152	56	where	where	SCONJ
bracis-28423	152	57	\(0	\(0	PROPN
bracis-28423	152	58	<	<	X
bracis-28423	152	59	\epsilon	\epsilon	X
bracis-28423	152	60	<	<	X
bracis-28423	152	61	\lambda	\lambda	PROPN
bracis-28423	152	62	<	<	X
bracis-28423	152	63	1\	1\	NUM
bracis-28423	152	64	)	)	PUNCT
bracis-28423	152	65	and	and	CCONJ
bracis-28423	152	66	\(\mathcal	\(\mathcal	ADJ
bracis-28423	152	67	{	{	PUNCT
bracis-28423	152	68	f}_{c(i)}\	f}_{c(i)}\	NOUN
bracis-28423	152	69	)	)	PUNCT
bracis-28423	152	70	is	be	AUX
bracis-28423	152	71	the	the	DET
bracis-28423	152	72	set	set	NOUN
bracis-28423	152	73	of	of	ADP
bracis-28423	152	74	dependents	dependent	NOUN
bracis-28423	152	75	features	feature	NOUN
bracis-28423	152	76	of	of	ADP
bracis-28423	152	77	the	the	DET
bracis-28423	152	78	cluster	cluster	NOUN
bracis-28423	152	79	c(i	c(i	NOUN
bracis-28423	152	80	)	)	PUNCT
bracis-28423	152	81	.	.	PUNCT
bracis-28423	153	1	we	we	PRON
bracis-28423	153	2	also	also	ADV
bracis-28423	153	3	want	want	VERB
bracis-28423	153	4	that	that	SCONJ
bracis-28423	153	5	the	the	DET
bracis-28423	153	6	following	follow	VERB
bracis-28423	153	7	statements	statement	NOUN
bracis-28423	153	8	to	to	PART
bracis-28423	153	9	hold	hold	VERB
bracis-28423	153	10	:	:	PUNCT
bracis-28423	153	11	$	$	SYM
bracis-28423	153	12	$	$	SYM
bracis-28423	153	13	\begin{aligned	\begin{aligne	VERB
bracis-28423	153	14	}	}	PUNCT
bracis-28423	153	15	p(x_{ij	p(x_{ij	NOUN
bracis-28423	153	16	}	}	PUNCT
bracis-28423	153	17	,	,	PUNCT
bracis-28423	153	18	x_{ij	x_{ij	NOUN
bracis-28423	153	19	'	'	PUNCT
bracis-28423	153	20	}	}	PUNCT
bracis-28423	153	21	)	)	PUNCT
bracis-28423	153	22	=	=	PUNCT
bracis-28423	154	1	p(x_{ij})p(x_{ij	p(x_{ij})p(x_{ij	NOUN
bracis-28423	154	2	'	'	PART
bracis-28423	154	3	}	}	PUNCT
bracis-28423	154	4	)	)	PUNCT
bracis-28423	155	1	\forall	\forall	PRON
bracis-28423	155	2	j	j	PROPN
bracis-28423	155	3	\not	\not	ADV
bracis-28423	155	4	\in	\in	PROPN
bracis-28423	155	5	\mathcal	\mathcal	PROPN
bracis-28423	155	6	{	{	PUNCT
bracis-28423	155	7	f}_{c(i)}\text	f}_{c(i)}\text	PROPN
bracis-28423	155	8	{	{	PUNCT
bracis-28423	155	9	,	,	PUNCT
bracis-28423	155	10	}	}	PUNCT
bracis-28423	155	11	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	155	12	(	(	PUNCT
bracis-28423	155	13	6	6	NUM
bracis-28423	155	14	)	)	PUNCT
bracis-28423	155	15	$	$	SYM
bracis-28423	155	16	$	$	SYM
bracis-28423	155	17	\begin{aligned	\begin{aligne	VERB
bracis-28423	155	18	}	}	PUNCT
bracis-28423	155	19	p(x_{ij	p(x_{ij	NOUN
bracis-28423	155	20	}	}	PUNCT
bracis-28423	155	21	)	)	PUNCT
bracis-28423	155	22	=	=	SYM
bracis-28423	155	23	p(x_{i'j	p(x_{i'j	NOUN
bracis-28423	155	24	}	}	PUNCT
bracis-28423	155	25	)	)	PUNCT
bracis-28423	156	1	\text	\text	ADP
bracis-28423	156	2	{	{	PUNCT
bracis-28423	156	3	if	if	SCONJ
bracis-28423	156	4	}	}	PUNCT
bracis-28423	156	5	c(i	c(i	PROPN
bracis-28423	156	6	)	)	PUNCT
bracis-28423	156	7	=	=	SYM
bracis-28423	156	8	c(i')\text	c(i')\text	NOUN
bracis-28423	156	9	{	{	PUNCT
bracis-28423	156	10	,	,	PUNCT
bracis-28423	156	11	and	and	CCONJ
bracis-28423	156	12	}	}	PUNCT
bracis-28423	156	13	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	156	14	(	(	PUNCT
bracis-28423	156	15	7	7	NUM
bracis-28423	156	16	)	)	PUNCT
bracis-28423	156	17	$	$	SYM
bracis-28423	156	18	$	$	SYM
bracis-28423	156	19	\begin{aligned	\begin{aligne	VERB
bracis-28423	156	20	}	}	PUNCT
bracis-28423	156	21	p(x_{ij	p(x_{ij	NOUN
bracis-28423	156	22	}	}	PUNCT
bracis-28423	156	23	,	,	PUNCT
bracis-28423	156	24	x_{ij	x_{ij	NOUN
bracis-28423	156	25	'	'	PUNCT
bracis-28423	156	26	}	}	PUNCT
bracis-28423	156	27	)	)	PUNCT
bracis-28423	157	1	\ne	\ne	PROPN
bracis-28423	157	2	p(x_{ij})p(x_{ij	p(x_{ij})p(x_{ij	NOUN
bracis-28423	157	3	'	'	PART
bracis-28423	157	4	}	}	PUNCT
bracis-28423	157	5	)	)	PUNCT
bracis-28423	158	1	\forall	\forall	DET
bracis-28423	158	2	j	j	PROPN
bracis-28423	158	3	,	,	PUNCT
bracis-28423	158	4	j	j	PROPN
bracis-28423	158	5	'	'	PUNCT
bracis-28423	158	6	\in	\in	PROPN
bracis-28423	158	7	\mathcal	\mathcal	PROPN
bracis-28423	158	8	{	{	PUNCT
bracis-28423	158	9	f}_{c(i)}\text	f}_{c(i)}\text	PROPN
bracis-28423	158	10	{	{	PUNCT
bracis-28423	158	11	.	.	PUNCT
bracis-28423	158	12	}	}	PUNCT
bracis-28423	158	13	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	158	14	(	(	PUNCT
bracis-28423	158	15	8)	8)	NUM
bracis-28423	158	16	to	to	PART
bracis-28423	158	17	generate	generate	VERB
bracis-28423	158	18	data	datum	NOUN
bracis-28423	158	19	with	with	ADP
bracis-28423	158	20	such	such	ADJ
bracis-28423	158	21	properties	property	NOUN
bracis-28423	158	22	,	,	PUNCT
bracis-28423	158	23	each	each	DET
bracis-28423	158	24	cluster	cluster	NOUN
bracis-28423	158	25	c	c	NOUN
bracis-28423	158	26	in	in	ADP
bracis-28423	158	27	the	the	DET
bracis-28423	158	28	dataset	dataset	NOUN
bracis-28423	158	29	is	be	AUX
bracis-28423	158	30	associated	associate	VERB
bracis-28423	158	31	with	with	ADP
bracis-28423	158	32	an	an	DET
bracis-28423	158	33	m	m	NOUN
bracis-28423	158	34	by	by	ADP
bracis-28423	158	35	m	m	PROPN
bracis-28423	158	36	matrix	matrix	NOUN
bracis-28423	158	37	\(w^c\	\(w^c\	NOUN
bracis-28423	158	38	)	)	PUNCT
bracis-28423	158	39	whose	whose	DET
bracis-28423	158	40	elements	element	NOUN
bracis-28423	158	41	are	be	AUX
bracis-28423	158	42	$	$	SYM
bracis-28423	158	43	$	$	SYM
bracis-28423	158	44	\begin{aligned	\begin{aligne	VERB
bracis-28423	158	45	}	}	PUNCT
bracis-28423	158	46	w^c_{pq	w^c_{pq	PROPN
bracis-28423	158	47	}	}	PUNCT
bracis-28423	158	48	\sim	\sim	NOUN
bracis-28423	158	49	\mathcal	\mathcal	PROPN
bracis-28423	158	50	{	{	PUNCT
bracis-28423	158	51	n}(0	n}(0	ADJ
bracis-28423	158	52	,	,	PUNCT
bracis-28423	158	53	1)\text	1)\text	NUM
bracis-28423	158	54	{	{	PUNCT
bracis-28423	158	55	,	,	PUNCT
bracis-28423	158	56	}	}	PUNCT
bracis-28423	158	57	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	158	58	(	(	PUNCT
bracis-28423	158	59	9	9	NUM
bracis-28423	158	60	)	)	PUNCT
bracis-28423	158	61	and	and	CCONJ
bracis-28423	158	62	each	each	DET
bracis-28423	158	63	sample	sample	NOUN
bracis-28423	158	64	\(\textbf{x}_i	\(\textbf{x}_i	NOUN
bracis-28423	158	65	=	=	SYM
bracis-28423	158	66	(	(	PUNCT
bracis-28423	158	67	x_{i1	x_{i1	PROPN
bracis-28423	158	68	}	}	PUNCT
bracis-28423	158	69	,	,	PUNCT
bracis-28423	158	70	x_{i2	x_{i2	NOUN
bracis-28423	158	71	}	}	PUNCT
bracis-28423	158	72	,	,	PUNCT
bracis-28423	158	73	\dots	\dot	NOUN
bracis-28423	158	74	,	,	PUNCT
bracis-28423	158	75	x_{im})\	x_{im})\	NOUN
bracis-28423	158	76	)	)	PUNCT
bracis-28423	159	1	such	such	ADJ
bracis-28423	159	2	that	that	PRON
bracis-28423	159	3	\(c(i	\(c(i	NUM
bracis-28423	159	4	)	)	PUNCT
bracis-28423	159	5	=	=	SYM
bracis-28423	159	6	c\	c\	NOUN
bracis-28423	159	7	)	)	PUNCT
bracis-28423	159	8	is	be	AUX
bracis-28423	159	9	associated	associate	VERB
bracis-28423	159	10	with	with	ADP
bracis-28423	159	11	a	a	DET
bracis-28423	159	12	vector	vector	NOUN
bracis-28423	159	13	m	m	ADJ
bracis-28423	159	14	-	-	ADJ
bracis-28423	159	15	dimensional	dimensional	ADJ
bracis-28423	159	16	\(\textbf{a}^i\	\(\textbf{a}^i\	NOUN
bracis-28423	159	17	)	)	PUNCT
bracis-28423	159	18	whose	whose	DET
bracis-28423	159	19	elements	element	NOUN
bracis-28423	159	20	are	be	AUX
bracis-28423	159	21	$	$	SYM
bracis-28423	159	22	$	$	SYM
bracis-28423	159	23	\begin{aligned	\begin{aligne	VERB
bracis-28423	159	24	}	}	PUNCT
bracis-28423	159	25	a_p^i	a_p^i	NUM
bracis-28423	159	26	\sim	\sim	PROPN
bracis-28423	159	27	\mathcal	\mathcal	PROPN
bracis-28423	159	28	{	{	PUNCT
bracis-28423	159	29	n}(0	n}(0	ADJ
bracis-28423	159	30	,	,	PUNCT
bracis-28423	159	31	1)\text	1)\text	NUM
bracis-28423	159	32	{	{	PUNCT
bracis-28423	159	33	.	.	PUNCT
bracis-28423	159	34	}	}	PUNCT
bracis-28423	159	35	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	160	1	(	(	PUNCT
bracis-28423	160	2	10	10	NUM
bracis-28423	160	3	)	)	PUNCT
bracis-28423	160	4	then	then	ADV
bracis-28423	160	5	,	,	PUNCT
bracis-28423	160	6	let	let	VERB
bracis-28423	160	7	$	$	SYM
bracis-28423	160	8	$	$	SYM
bracis-28423	160	9	\begin{aligned	\begin{aligne	VERB
bracis-28423	160	10	}	}	PUNCT
bracis-28423	160	11	\textbf{b}^i	\textbf{b}^i	NOUN
bracis-28423	160	12	=	=	PUNCT
bracis-28423	160	13	\frac{1}{\sqrt{m	\frac{1}{\sqrt{m	NUM
bracis-28423	160	14	}	}	PUNCT
bracis-28423	160	15	}	}	PUNCT
bracis-28423	160	16	w^{c(i	w^{c(i	NOUN
bracis-28423	160	17	)	)	PUNCT
bracis-28423	160	18	}	}	PUNCT
bracis-28423	160	19	\times	\times	ADP
bracis-28423	160	20	\textbf{a}^i\text	\textbf{a}^i\text	PROPN
bracis-28423	160	21	{	{	PUNCT
bracis-28423	160	22	,	,	PUNCT
bracis-28423	160	23	}	}	PUNCT
bracis-28423	160	24	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	160	25	(	(	PUNCT
bracis-28423	160	26	11	11	NUM
bracis-28423	160	27	)	)	PUNCT
bracis-28423	160	28	then	then	ADV
bracis-28423	160	29	,	,	PUNCT
bracis-28423	160	30	we	we	PRON
bracis-28423	160	31	generate	generate	VERB
bracis-28423	160	32	the	the	DET
bracis-28423	160	33	dependent	dependent	ADJ
bracis-28423	160	34	features	feature	NOUN
bracis-28423	160	35	(	(	PUNCT
bracis-28423	160	36	\(j	\(j	VERB
bracis-28423	160	37	\in	\in	PROPN
bracis-28423	160	38	\mathcal	\mathcal	PROPN
bracis-28423	160	39	{	{	PUNCT
bracis-28423	160	40	f}^{c(i)}\	f}^{c(i)}\	ADJ
bracis-28423	160	41	)	)	PUNCT
bracis-28423	160	42	)	)	PUNCT
bracis-28423	160	43	$	$	SYM
bracis-28423	160	44	$	$	SYM
bracis-28423	160	45	\begin{aligned	\begin{aligne	VERB
bracis-28423	160	46	}	}	PUNCT
bracis-28423	160	47	x_{ij	x_{ij	NOUN
bracis-28423	160	48	}	}	PUNCT
bracis-28423	160	49	=	=	SYM
bracis-28423	160	50	{	{	PUNCT
bracis-28423	160	51	\left\	\left\	PROPN
bracis-28423	160	52	{	{	PUNCT
bracis-28423	160	53	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28423	160	54	}	}	PUNCT
bracis-28423	160	55	1	1	NUM
bracis-28423	160	56	&	&	CCONJ
bracis-28423	160	57	{	{	PUNCT
bracis-28423	160	58	}	}	PUNCT
bracis-28423	161	1	\text	\text	ADV
bracis-28423	161	2	{	{	PUNCT
bracis-28423	161	3	if	if	SCONJ
bracis-28423	161	4	}	}	PUNCT
bracis-28423	161	5	\varphi	\varphi	PROPN
bracis-28423	161	6	\!\left	\!\left	NUM
bracis-28423	161	7	(	(	PUNCT
bracis-28423	161	8	b^i_j\right	b^i_j\right	NOUN
bracis-28423	161	9	)	)	PUNCT
bracis-28423	161	10	<	<	X
bracis-28423	162	1	\lambda	\lambda	PROPN
bracis-28423	162	2	\\	\\	NOUN
bracis-28423	162	3	0	0	PUNCT
bracis-28423	163	1	&	&	CCONJ
bracis-28423	163	2	{	{	PUNCT
bracis-28423	163	3	}	}	PUNCT
bracis-28423	163	4	\text	\text	ADV
bracis-28423	163	5	{	{	PUNCT
bracis-28423	163	6	otherwise	otherwise	ADV
bracis-28423	163	7	,	,	PUNCT
bracis-28423	163	8	}	}	PUNCT
bracis-28423	163	9	\end{array}\right	\end{array}\right	PROPN
bracis-28423	163	10	.	.	PUNCT
bracis-28423	163	11	}	}	PUNCT
bracis-28423	163	12	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	163	13	(	(	PUNCT
bracis-28423	163	14	12	12	NUM
bracis-28423	163	15	)	)	PUNCT
bracis-28423	163	16	where	where	SCONJ
bracis-28423	163	17	the	the	DET
bracis-28423	163	18	\(\varphi	\(\varphi	PUNCT
bracis-28423	163	19	\	\	NOUN
bracis-28423	163	20	)	)	PUNCT
bracis-28423	163	21	is	be	AUX
bracis-28423	163	22	the	the	DET
bracis-28423	163	23	cumulative	cumulative	ADJ
bracis-28423	163	24	distribution	distribution	NOUN
bracis-28423	163	25	function	function	NOUN
bracis-28423	163	26	of	of	ADP
bracis-28423	163	27	the	the	DET
bracis-28423	163	28	standard	standard	ADJ
bracis-28423	163	29	normal	normal	ADJ
bracis-28423	163	30	distribution	distribution	NOUN
bracis-28423	163	31	.	.	PUNCT
bracis-28423	164	1	the	the	DET
bracis-28423	164	2	other	other	ADJ
bracis-28423	164	3	features	feature	NOUN
bracis-28423	164	4	,	,	PUNCT
bracis-28423	164	5	\(j	\(j	X
bracis-28423	164	6	\not	\not	ADV
bracis-28423	164	7	\in	\in	PROPN
bracis-28423	164	8	\mathcal	\mathcal	PROPN
bracis-28423	164	9	{	{	PUNCT
bracis-28423	164	10	f}^{c(i)}\	f}^{c(i)}\	NOUN
bracis-28423	164	11	)	)	PUNCT
bracis-28423	164	12	,	,	PUNCT
bracis-28423	164	13	are	be	AUX
bracis-28423	164	14	generated	generate	VERB
bracis-28423	164	15	using	use	VERB
bracis-28423	164	16	$	$	SYM
bracis-28423	164	17	$	$	SYM
bracis-28423	164	18	\begin{aligned	\begin{aligne	VERB
bracis-28423	164	19	}	}	PUNCT
bracis-28423	164	20	x_{ij	x_{ij	NOUN
bracis-28423	164	21	}	}	PUNCT
bracis-28423	164	22	=	=	SYM
bracis-28423	164	23	{	{	PUNCT
bracis-28423	164	24	\left\	\left\	PROPN
bracis-28423	164	25	{	{	PUNCT
bracis-28423	164	26	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28423	164	27	}	}	PUNCT
bracis-28423	164	28	1	1	NUM
bracis-28423	164	29	&	&	CCONJ
bracis-28423	164	30	{	{	PUNCT
bracis-28423	164	31	}	}	PUNCT
bracis-28423	164	32	\text	\text	ADV
bracis-28423	164	33	{	{	PUNCT
bracis-28423	164	34	if	if	SCONJ
bracis-28423	164	35	}	}	PUNCT
bracis-28423	164	36	u_{ij	u_{ij	NOUN
bracis-28423	164	37	}	}	PUNCT
bracis-28423	164	38	\sim	\sim	NOUN
bracis-28423	164	39	\mathcal	\mathcal	PROPN
bracis-28423	164	40	{	{	PUNCT
bracis-28423	164	41	u}(0	u}(0	ADJ
bracis-28423	164	42	,	,	PUNCT
bracis-28423	164	43	1	1	NUM
bracis-28423	164	44	)	)	PUNCT
bracis-28423	164	45	<	<	X
bracis-28423	164	46	\epsilon	\epsilon	NOUN
bracis-28423	164	47	\\	\\	NOUN
bracis-28423	164	48	0	0	PUNCT
bracis-28423	165	1	&	&	CCONJ
bracis-28423	165	2	{	{	PUNCT
bracis-28423	165	3	}	}	PUNCT
bracis-28423	165	4	\text	\text	ADV
bracis-28423	165	5	{	{	PUNCT
bracis-28423	165	6	otherwise	otherwise	ADV
bracis-28423	165	7	,	,	PUNCT
bracis-28423	165	8	}	}	PUNCT
bracis-28423	165	9	\end{array}\right	\end{array}\right	PROPN
bracis-28423	165	10	.	.	PUNCT
bracis-28423	165	11	}	}	PUNCT
bracis-28423	165	12	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	165	13	(	(	PUNCT
bracis-28423	165	14	13	13	NUM
bracis-28423	165	15	)	)	PUNCT
bracis-28423	165	16	remark	remark	NOUN
bracis-28423	165	17	:	:	PUNCT
bracis-28423	165	18	note	note	VERB
bracis-28423	165	19	that	that	SCONJ
bracis-28423	165	20	the	the	DET
bracis-28423	165	21	product	product	NOUN
bracis-28423	165	22	xy	xy	NOUN
bracis-28423	165	23	of	of	ADP
bracis-28423	165	24	random	random	ADJ
bracis-28423	165	25	variables	variable	NOUN
bracis-28423	165	26	\(x	\(x	PROPN
bracis-28423	165	27	,	,	PUNCT
bracis-28423	165	28	y	y	PROPN
bracis-28423	165	29	\sim	\sim	PROPN
bracis-28423	165	30	\mathcal	\mathcal	PROPN
bracis-28423	165	31	{	{	PUNCT
bracis-28423	165	32	n}(0	n}(0	VERB
bracis-28423	165	33	,	,	PUNCT
bracis-28423	165	34	1)\	1)\	NUM
bracis-28423	165	35	)	)	PUNCT
bracis-28423	165	36	is	be	AUX
bracis-28423	165	37	not	not	PART
bracis-28423	165	38	a	a	DET
bracis-28423	165	39	standard	standard	ADJ
bracis-28423	165	40	normal	normal	ADJ
bracis-28423	165	41	distribution	distribution	NOUN
bracis-28423	165	42	.	.	PUNCT
bracis-28423	166	1	however	however	ADV
bracis-28423	166	2	,	,	PUNCT
bracis-28423	166	3	it	it	PRON
bracis-28423	166	4	is	be	AUX
bracis-28423	166	5	similar	similar	ADJ
bracis-28423	166	6	enough	enough	ADV
bracis-28423	166	7	to	to	PART
bracis-28423	166	8	use	use	VERB
bracis-28423	166	9	\(\varphi	\(\varphi	ADJ
bracis-28423	166	10	\	\	NOUN
bracis-28423	166	11	)	)	PUNCT
bracis-28423	166	12	to	to	PART
bracis-28423	166	13	satisfy	satisfy	VERB
bracis-28423	166	14	eq	eq	ADP
bracis-28423	166	15	.	.	PUNCT
bracis-28423	166	16	 	 	SPACE
bracis-28423	167	1	5	5	NUM
bracis-28423	167	2	.	.	SYM
bracis-28423	167	3	5	5	NUM
bracis-28423	167	4	set	set	NOUN
bracis-28423	167	5	of	of	ADP
bracis-28423	167	6	 	 	SPACE
bracis-28423	167	7	experiments	experiment	NOUN
bracis-28423	167	8	in	in	ADP
bracis-28423	167	9	this	this	DET
bracis-28423	167	10	section	section	NOUN
bracis-28423	167	11	we	we	PRON
bracis-28423	167	12	do	do	VERB
bracis-28423	167	13	some	some	DET
bracis-28423	167	14	experiments	experiment	NOUN
bracis-28423	167	15	to	to	PART
bracis-28423	167	16	evaluate	evaluate	VERB
bracis-28423	167	17	the	the	DET
bracis-28423	167	18	performance	performance	NOUN
bracis-28423	167	19	of	of	ADP
bracis-28423	167	20	the	the	DET
bracis-28423	167	21	proposed	propose	VERB
bracis-28423	167	22	index	index	NOUN
bracis-28423	167	23	,	,	PUNCT
bracis-28423	167	24	defined	define	VERB
bracis-28423	167	25	in	in	ADP
bracis-28423	167	26	sect	sect	NOUN
bracis-28423	167	27	.	.	PUNCT
bracis-28423	167	28	 	 	SPACE
bracis-28423	167	29	3	3	NUM
bracis-28423	167	30	,	,	PUNCT
bracis-28423	167	31	comparing	compare	VERB
bracis-28423	167	32	with	with	ADP
bracis-28423	167	33	known	know	VERB
bracis-28423	167	34	indices	index	NOUN
bracis-28423	167	35	described	describe	VERB
bracis-28423	167	36	in	in	ADP
bracis-28423	167	37	sect	sect	NOUN
bracis-28423	167	38	.	.	PUNCT
bracis-28423	167	39	 	 	SPACE
bracis-28423	168	1	2	2	NUM
bracis-28423	168	2	.	.	X
bracis-28423	168	3	for	for	ADP
bracis-28423	168	4	this	this	PRON
bracis-28423	168	5	,	,	PUNCT
bracis-28423	168	6	we	we	PRON
bracis-28423	168	7	use	use	VERB
bracis-28423	168	8	synthetic	synthetic	ADJ
bracis-28423	168	9	data	datum	NOUN
bracis-28423	168	10	generated	generate	VERB
bracis-28423	168	11	using	use	VERB
bracis-28423	168	12	the	the	DET
bracis-28423	168	13	categorical	categorical	ADJ
bracis-28423	168	14	binary	binary	ADJ
bracis-28423	168	15	random	random	ADJ
bracis-28423	168	16	data	datum	NOUN
bracis-28423	168	17	(	(	PUNCT
bracis-28423	168	18	catbird	catbird	NOUN
bracis-28423	168	19	)	)	PUNCT
bracis-28423	168	20	function	function	NOUN
bracis-28423	168	21	,	,	PUNCT
bracis-28423	168	22	described	describe	VERB
bracis-28423	168	23	in	in	ADP
bracis-28423	168	24	sect	sect	NOUN
bracis-28423	168	25	.	.	PUNCT
bracis-28423	168	26	 	 	SPACE
bracis-28423	169	1	4	4	NUM
bracis-28423	169	2	,	,	PUNCT
bracis-28423	169	3	which	which	PRON
bracis-28423	169	4	is	be	AUX
bracis-28423	169	5	part	part	NOUN
bracis-28423	169	6	of	of	ADP
bracis-28423	169	7	the	the	DET
bracis-28423	169	8	library	library	NOUN
bracis-28423	169	9	called	call	VERB
bracis-28423	169	10	random	random	ADJ
bracis-28423	169	11	data	datum	NOUN
bracis-28423	169	12	generator	generator	NOUN
bracis-28423	169	13	algorithm	algorithm	NOUN
bracis-28423	169	14	for	for	ADP
bracis-28423	169	15	clustering	clustering	NOUN
bracis-28423	169	16	(	(	PUNCT
bracis-28423	169	17	rdga_4k	rdga_4k	NOUN
bracis-28423	169	18	)	)	PUNCT
bracis-28423	169	19	,	,	PUNCT
bracis-28423	169	20	built	build	VERB
bracis-28423	169	21	in	in	ADP
bracis-28423	169	22	python	python	NOUN
bracis-28423	169	23	and	and	CCONJ
bracis-28423	169	24	available	available	ADJ
bracis-28423	169	25	in	in	ADP
bracis-28423	169	26	a	a	DET
bracis-28423	169	27	github	github	NOUN
bracis-28423	169	28	repositoryfootnote	repositoryfootnote	VERB
bracis-28423	169	29	3	3	NUM
bracis-28423	169	30	.	.	PUNCT
bracis-28423	170	1	for	for	ADP
bracis-28423	170	2	the	the	DET
bracis-28423	170	3	generation	generation	NOUN
bracis-28423	170	4	of	of	ADP
bracis-28423	170	5	synthetic	synthetic	ADJ
bracis-28423	170	6	binary	binary	ADJ
bracis-28423	170	7	data	datum	NOUN
bracis-28423	170	8	,	,	PUNCT
bracis-28423	170	9	all	all	DET
bracis-28423	170	10	possible	possible	ADJ
bracis-28423	170	11	combinations	combination	NOUN
bracis-28423	170	12	of	of	ADP
bracis-28423	170	13	the	the	DET
bracis-28423	170	14	parameters	parameter	NOUN
bracis-28423	170	15	listed	list	VERB
bracis-28423	170	16	in	in	ADP
bracis-28423	170	17	table	table	NOUN
bracis-28423	170	18	 	 	SPACE
bracis-28423	170	19	1	1	NUM
bracis-28423	170	20	are	be	AUX
bracis-28423	170	21	used	use	VERB
bracis-28423	170	22	.	.	PUNCT
bracis-28423	171	1	in	in	ADP
bracis-28423	171	2	the	the	DET
bracis-28423	171	3	end	end	NOUN
bracis-28423	171	4	,	,	PUNCT
bracis-28423	171	5	we	we	PRON
bracis-28423	171	6	obtain	obtain	VERB
bracis-28423	171	7	3600	3600	NUM
bracis-28423	171	8	unique	unique	ADJ
bracis-28423	171	9	data	datum	NOUN
bracis-28423	171	10	sets	set	NOUN
bracis-28423	171	11	from	from	ADP
bracis-28423	171	12	combinations	combination	NOUN
bracis-28423	171	13	of	of	ADP
bracis-28423	171	14	2	2	NUM
bracis-28423	171	15	parameters	parameter	NOUN
bracis-28423	171	16	of	of	ADP
bracis-28423	171	17	\(\epsilon	\(\epsilon	NOUN
bracis-28423	171	18	\	\	ADJ
bracis-28423	171	19	)	)	PUNCT
bracis-28423	171	20	,	,	PUNCT
bracis-28423	171	21	2	2	NUM
bracis-28423	171	22	of	of	ADP
bracis-28423	171	23	\(\lambda	\(\lambda	NOUN
bracis-28423	171	24	\	\	NOUN
bracis-28423	171	25	)	)	PUNCT
bracis-28423	171	26	,	,	PUNCT
bracis-28423	171	27	3	3	NUM
bracis-28423	171	28	different	different	ADJ
bracis-28423	171	29	numbers	number	NOUN
bracis-28423	171	30	of	of	ADP
bracis-28423	171	31	both	both	DET
bracis-28423	171	32	clusters	cluster	NOUN
bracis-28423	171	33	and	and	CCONJ
bracis-28423	171	34	features	feature	NOUN
bracis-28423	171	35	,	,	PUNCT
bracis-28423	171	36	2	2	NUM
bracis-28423	171	37	types	type	NOUN
bracis-28423	171	38	of	of	ADP
bracis-28423	171	39	data	datum	NOUN
bracis-28423	171	40	balance	balance	NOUN
bracis-28423	171	41	for	for	ADP
bracis-28423	171	42	each	each	DET
bracis-28423	171	43	number	number	NOUN
bracis-28423	171	44	of	of	ADP
bracis-28423	171	45	clusters	cluster	NOUN
bracis-28423	171	46	and	and	CCONJ
bracis-28423	171	47	50	50	NUM
bracis-28423	171	48	seeds	seed	NOUN
bracis-28423	171	49	.	.	PUNCT
bracis-28423	172	1	the	the	DET
bracis-28423	172	2	criteria	criterion	NOUN
bracis-28423	172	3	for	for	ADP
bracis-28423	172	4	choosing	choose	VERB
bracis-28423	172	5	the	the	DET
bracis-28423	172	6	values	value	NOUN
bracis-28423	172	7	of	of	ADP
bracis-28423	172	8	\(\epsilon	\(\epsilon	NOUN
bracis-28423	172	9	\	\	ADJ
bracis-28423	172	10	)	)	PUNCT
bracis-28423	172	11	and	and	CCONJ
bracis-28423	172	12	\(\lambda	\(\lambda	NOUN
bracis-28423	172	13	\	\	NOUN
bracis-28423	172	14	)	)	PUNCT
bracis-28423	172	15	are	be	AUX
bracis-28423	172	16	based	base	VERB
bracis-28423	172	17	on	on	ADP
bracis-28423	172	18	the	the	DET
bracis-28423	172	19	different	different	ADJ
bracis-28423	172	20	scattering	scatter	VERB
bracis-28423	172	21	scenarios	scenario	NOUN
bracis-28423	172	22	of	of	ADP
bracis-28423	172	23	data	datum	NOUN
bracis-28423	172	24	points	point	NOUN
bracis-28423	172	25	that	that	SCONJ
bracis-28423	172	26	the	the	DET
bracis-28423	172	27	combinations	combination	NOUN
bracis-28423	172	28	of	of	ADP
bracis-28423	172	29	these	these	DET
bracis-28423	172	30	parameters	parameter	NOUN
bracis-28423	172	31	can	can	AUX
bracis-28423	172	32	simulate	simulate	VERB
bracis-28423	172	33	.	.	PUNCT
bracis-28423	173	1	in	in	ADP
bracis-28423	173	2	this	this	DET
bracis-28423	173	3	way	way	NOUN
bracis-28423	173	4	,	,	PUNCT
bracis-28423	173	5	we	we	PRON
bracis-28423	173	6	choose	choose	VERB
bracis-28423	173	7	more	more	ADJ
bracis-28423	173	8	extreme	extreme	ADJ
bracis-28423	173	9	scenarios	scenario	NOUN
bracis-28423	173	10	and	and	CCONJ
bracis-28423	173	11	two	two	NUM
bracis-28423	173	12	intermediate	intermediate	ADJ
bracis-28423	173	13	ones	one	NOUN
bracis-28423	173	14	.	.	PUNCT
bracis-28423	174	1	for	for	ADP
bracis-28423	174	2	the	the	DET
bracis-28423	174	3	k	k	PROPN
bracis-28423	174	4	values	value	NOUN
bracis-28423	174	5	,	,	PUNCT
bracis-28423	174	6	we	we	PRON
bracis-28423	174	7	try	try	VERB
bracis-28423	174	8	to	to	PART
bracis-28423	174	9	evaluate	evaluate	VERB
bracis-28423	174	10	three	three	NUM
bracis-28423	174	11	intervals	interval	NOUN
bracis-28423	174	12	of	of	ADP
bracis-28423	174	13	the	the	DET
bracis-28423	174	14	same	same	ADJ
bracis-28423	174	15	distance	distance	NOUN
bracis-28423	174	16	between	between	ADP
bracis-28423	174	17	2	2	NUM
bracis-28423	174	18	and	and	CCONJ
bracis-28423	174	19	10	10	NUM
bracis-28423	174	20	in	in	ADP
bracis-28423	174	21	order	order	NOUN
bracis-28423	174	22	not	not	PART
bracis-28423	174	23	to	to	PART
bracis-28423	174	24	overload	overload	VERB
bracis-28423	174	25	the	the	DET
bracis-28423	174	26	tests	test	NOUN
bracis-28423	174	27	,	,	PUNCT
bracis-28423	174	28	but	but	CCONJ
bracis-28423	174	29	still	still	ADV
bracis-28423	174	30	have	have	VERB
bracis-28423	174	31	interesting	interesting	ADJ
bracis-28423	174	32	results	result	NOUN
bracis-28423	174	33	to	to	PART
bracis-28423	174	34	analyze	analyze	VERB
bracis-28423	174	35	.	.	PUNCT
bracis-28423	175	1	for	for	ADP
bracis-28423	175	2	the	the	DET
bracis-28423	175	3	number	number	NOUN
bracis-28423	175	4	of	of	ADP
bracis-28423	175	5	seeds	seed	NOUN
bracis-28423	175	6	,	,	PUNCT
bracis-28423	175	7	we	we	PRON
bracis-28423	175	8	believe	believe	VERB
bracis-28423	175	9	that	that	SCONJ
bracis-28423	175	10	50	50	NUM
bracis-28423	175	11	seeds	seed	NOUN
bracis-28423	175	12	are	be	AUX
bracis-28423	175	13	enough	enough	ADJ
bracis-28423	175	14	for	for	ADP
bracis-28423	175	15	the	the	DET
bracis-28423	175	16	analysis	analysis	NOUN
bracis-28423	175	17	.	.	PUNCT
bracis-28423	176	1	in	in	ADP
bracis-28423	176	2	addition	addition	NOUN
bracis-28423	176	3	,	,	PUNCT
bracis-28423	176	4	during	during	ADP
bracis-28423	176	5	the	the	DET
bracis-28423	176	6	tests	test	NOUN
bracis-28423	176	7	,	,	PUNCT
bracis-28423	176	8	we	we	PRON
bracis-28423	176	9	identified	identify	VERB
bracis-28423	176	10	that	that	SCONJ
bracis-28423	176	11	with	with	ADP
bracis-28423	176	12	half	half	NOUN
bracis-28423	176	13	of	of	ADP
bracis-28423	176	14	the	the	DET
bracis-28423	176	15	seeds	seed	NOUN
bracis-28423	176	16	the	the	DET
bracis-28423	176	17	results	result	NOUN
bracis-28423	176	18	did	do	AUX
bracis-28423	176	19	not	not	PART
bracis-28423	176	20	change	change	VERB
bracis-28423	176	21	significantly	significantly	ADV
bracis-28423	176	22	.	.	PUNCT
bracis-28423	177	1	table	table	NOUN
bracis-28423	177	2	1	1	NUM
bracis-28423	177	3	.	.	PUNCT
bracis-28423	178	1	parameters	parameter	NOUN
bracis-28423	178	2	used	use	VERB
bracis-28423	178	3	in	in	ADP
bracis-28423	178	4	the	the	DET
bracis-28423	178	5	generation	generation	NOUN
bracis-28423	178	6	of	of	ADP
bracis-28423	178	7	synthetic	synthetic	ADJ
bracis-28423	178	8	binary	binary	ADJ
bracis-28423	178	9	data	datum	NOUN
bracis-28423	178	10	.	.	PUNCT
bracis-28423	179	1	in	in	ADP
bracis-28423	179	2	total	total	ADJ
bracis-28423	179	3	,	,	PUNCT
bracis-28423	179	4	3600	3600	NUM
bracis-28423	179	5	unique	unique	ADJ
bracis-28423	179	6	data	data	NOUN
bracis-28423	179	7	sets	set	NOUN
bracis-28423	179	8	are	be	AUX
bracis-28423	179	9	generated	generate	VERB
bracis-28423	179	10	,	,	PUNCT
bracis-28423	179	11	obtained	obtain	VERB
bracis-28423	179	12	from	from	ADP
bracis-28423	179	13	combinations	combination	NOUN
bracis-28423	179	14	of	of	ADP
bracis-28423	179	15	2	2	NUM
bracis-28423	179	16	parameters	parameter	NOUN
bracis-28423	179	17	of	of	ADP
bracis-28423	179	18	\(\epsilon	\(\epsilon	NOUN
bracis-28423	179	19	\	\	ADJ
bracis-28423	179	20	)	)	PUNCT
bracis-28423	179	21	,	,	PUNCT
bracis-28423	179	22	2	2	NUM
bracis-28423	179	23	of	of	ADP
bracis-28423	179	24	\(\lambda	\(\lambda	NOUN
bracis-28423	179	25	\	\	NOUN
bracis-28423	179	26	)	)	PUNCT
bracis-28423	179	27	,	,	PUNCT
bracis-28423	179	28	3	3	NUM
bracis-28423	179	29	different	different	ADJ
bracis-28423	179	30	numbers	number	NOUN
bracis-28423	179	31	of	of	ADP
bracis-28423	179	32	clusters	cluster	NOUN
bracis-28423	179	33	,	,	PUNCT
bracis-28423	179	34	3	3	NUM
bracis-28423	179	35	of	of	ADP
bracis-28423	179	36	features	feature	NOUN
bracis-28423	179	37	,	,	PUNCT
bracis-28423	179	38	2	2	NUM
bracis-28423	179	39	types	type	NOUN
bracis-28423	179	40	of	of	ADP
bracis-28423	179	41	data	datum	NOUN
bracis-28423	179	42	balance	balance	NOUN
bracis-28423	179	43	for	for	ADP
bracis-28423	179	44	each	each	DET
bracis-28423	179	45	number	number	NOUN
bracis-28423	179	46	of	of	ADP
bracis-28423	179	47	clusters	cluster	NOUN
bracis-28423	179	48	and	and	CCONJ
bracis-28423	179	49	50	50	NUM
bracis-28423	179	50	seeds.full	seeds.full	NUM
bracis-28423	179	51	size	size	NOUN
bracis-28423	179	52	table	table	NOUN
bracis-28423	179	53	as	as	ADP
bracis-28423	179	54	clustering	cluster	VERB
bracis-28423	179	55	algorithms	algorithm	NOUN
bracis-28423	179	56	for	for	ADP
bracis-28423	179	57	the	the	DET
bracis-28423	179	58	experiments	experiment	NOUN
bracis-28423	179	59	,	,	PUNCT
bracis-28423	179	60	we	we	PRON
bracis-28423	179	61	use	use	VERB
bracis-28423	179	62	k	k	NOUN
bracis-28423	179	63	-	-	PUNCT
bracis-28423	179	64	means	mean	NOUN
bracis-28423	179	65	and	and	CCONJ
bracis-28423	179	66	two	two	NUM
bracis-28423	179	67	hierarchical	hierarchical	ADJ
bracis-28423	179	68	clusters	cluster	NOUN
bracis-28423	179	69	with	with	ADP
bracis-28423	179	70	average	average	ADJ
bracis-28423	179	71	(	(	PUNCT
bracis-28423	179	72	haca	haca	PROPN
bracis-28423	179	73	)	)	PUNCT
bracis-28423	179	74	and	and	CCONJ
bracis-28423	179	75	ward	ward	NOUN
bracis-28423	179	76	(	(	PUNCT
bracis-28423	179	77	hacw	hacw	ADJ
bracis-28423	179	78	)	)	PUNCT
bracis-28423	179	79	linkages	linkage	NOUN
bracis-28423	179	80	.	.	PUNCT
bracis-28423	180	1	although	although	SCONJ
bracis-28423	180	2	they	they	PRON
bracis-28423	180	3	are	be	AUX
bracis-28423	180	4	based	base	VERB
bracis-28423	180	5	on	on	ADP
bracis-28423	180	6	distance	distance	NOUN
bracis-28423	180	7	,	,	PUNCT
bracis-28423	180	8	they	they	PRON
bracis-28423	180	9	are	be	AUX
bracis-28423	180	10	considered	consider	VERB
bracis-28423	180	11	suitable	suitable	ADJ
bracis-28423	180	12	for	for	ADP
bracis-28423	180	13	use	use	NOUN
bracis-28423	180	14	on	on	ADP
bracis-28423	180	15	binary	binary	ADJ
bracis-28423	180	16	data	datum	NOUN
bracis-28423	180	17	sets	set	VERB
bracis-28423	180	18	 	 	SPACE
bracis-28423	181	1	[	[	X
bracis-28423	181	2	5	5	NUM
bracis-28423	181	3	]	]	PUNCT
bracis-28423	181	4	.	.	PUNCT
bracis-28423	182	1	the	the	DET
bracis-28423	182	2	algorithms	algorithm	NOUN
bracis-28423	182	3	are	be	AUX
bracis-28423	182	4	applied	apply	VERB
bracis-28423	182	5	to	to	ADP
bracis-28423	182	6	each	each	PRON
bracis-28423	182	7	of	of	ADP
bracis-28423	182	8	the	the	DET
bracis-28423	182	9	data	data	NOUN
bracis-28423	182	10	sets	set	NOUN
bracis-28423	182	11	for	for	ADP
bracis-28423	182	12	different	different	ADJ
bracis-28423	182	13	values	value	NOUN
bracis-28423	182	14	of	of	ADP
bracis-28423	182	15	k	k	PROPN
bracis-28423	182	16	,	,	PUNCT
bracis-28423	182	17	starting	start	VERB
bracis-28423	182	18	at	at	ADP
bracis-28423	182	19	2	2	NUM
bracis-28423	182	20	and	and	CCONJ
bracis-28423	182	21	increasing	increase	VERB
bracis-28423	182	22	in	in	ADP
bracis-28423	182	23	intervals	interval	NOUN
bracis-28423	182	24	from	from	ADP
bracis-28423	182	25	1	1	NUM
bracis-28423	182	26	to	to	PART
bracis-28423	182	27	10	10	NUM
bracis-28423	182	28	.	.	PUNCT
bracis-28423	183	1	thus	thus	ADV
bracis-28423	183	2	,	,	PUNCT
bracis-28423	183	3	using	use	VERB
bracis-28423	183	4	the	the	DET
bracis-28423	183	5	obtained	obtain	VERB
bracis-28423	183	6	labels	label	NOUN
bracis-28423	183	7	we	we	PRON
bracis-28423	183	8	calculate	calculate	VERB
bracis-28423	183	9	each	each	PRON
bracis-28423	183	10	of	of	ADP
bracis-28423	183	11	the	the	DET
bracis-28423	183	12	indices	index	NOUN
bracis-28423	183	13	,	,	PUNCT
bracis-28423	183	14	except	except	SCONJ
bracis-28423	183	15	cnak	cnak	NOUN
bracis-28423	183	16	,	,	PUNCT
bracis-28423	183	17	as	as	SCONJ
bracis-28423	183	18	it	it	PRON
bracis-28423	183	19	uses	use	VERB
bracis-28423	183	20	its	its	PRON
bracis-28423	183	21	own	own	ADJ
bracis-28423	183	22	clustering	clustering	ADJ
bracis-28423	183	23	algorithm	algorithm	NOUN
bracis-28423	183	24	(	(	PUNCT
bracis-28423	183	25	k	k	NOUN
bracis-28423	183	26	-	-	NOUN
bracis-28423	183	27	means++	means++	NOUN
bracis-28423	183	28	)	)	PUNCT
bracis-28423	183	29	to	to	PART
bracis-28423	183	30	suggest	suggest	VERB
bracis-28423	183	31	the	the	DET
bracis-28423	183	32	value	value	NOUN
bracis-28423	183	33	of	of	ADP
bracis-28423	183	34	k.	k.	PROPN
bracis-28423	183	35	given	give	VERB
bracis-28423	183	36	that	that	SCONJ
bracis-28423	183	37	the	the	DET
bracis-28423	183	38	ci	ci	PROPN
bracis-28423	183	39	index	index	NOUN
bracis-28423	183	40	uses	use	VERB
bracis-28423	183	41	different	different	ADJ
bracis-28423	183	42	labels	label	NOUN
bracis-28423	183	43	in	in	ADP
bracis-28423	183	44	a	a	DET
bracis-28423	183	45	consensus	consensus	NOUN
bracis-28423	183	46	approach	approach	NOUN
bracis-28423	183	47	,	,	PUNCT
bracis-28423	183	48	we	we	PRON
bracis-28423	183	49	named	name	VERB
bracis-28423	183	50	kaw	kaw	PROPN
bracis-28423	183	51	the	the	DET
bracis-28423	183	52	algorithm	algorithm	NOUN
bracis-28423	183	53	responsible	responsible	ADJ
bracis-28423	183	54	for	for	ADP
bracis-28423	183	55	calculating	calculate	VERB
bracis-28423	183	56	the	the	DET
bracis-28423	183	57	index	index	NOUN
bracis-28423	183	58	,	,	PUNCT
bracis-28423	183	59	given	give	VERB
bracis-28423	183	60	that	that	SCONJ
bracis-28423	183	61	it	it	PRON
bracis-28423	183	62	uses	use	VERB
bracis-28423	183	63	the	the	DET
bracis-28423	183	64	three	three	NUM
bracis-28423	183	65	algorithms	algorithm	NOUN
bracis-28423	183	66	.	.	PUNCT
bracis-28423	184	1	6	6	NUM
bracis-28423	184	2	results	result	NOUN
bracis-28423	184	3	and	and	CCONJ
bracis-28423	184	4	 	 	SPACE
bracis-28423	184	5	discussion	discussion	NOUN
bracis-28423	184	6	in	in	ADP
bracis-28423	184	7	this	this	DET
bracis-28423	184	8	section	section	NOUN
bracis-28423	184	9	,	,	PUNCT
bracis-28423	184	10	we	we	PRON
bracis-28423	184	11	present	present	VERB
bracis-28423	184	12	and	and	CCONJ
bracis-28423	184	13	discuss	discuss	VERB
bracis-28423	184	14	some	some	DET
bracis-28423	184	15	results	result	NOUN
bracis-28423	184	16	obtained	obtain	VERB
bracis-28423	184	17	after	after	SCONJ
bracis-28423	184	18	the	the	DET
bracis-28423	184	19	experiments	experiment	NOUN
bracis-28423	184	20	performed	perform	VERB
bracis-28423	184	21	,	,	PUNCT
bracis-28423	184	22	as	as	SCONJ
bracis-28423	184	23	described	describe	VERB
bracis-28423	184	24	in	in	ADP
bracis-28423	184	25	sect	sect	NOUN
bracis-28423	184	26	.	.	PUNCT
bracis-28423	184	27	 	 	SPACE
bracis-28423	185	1	5	5	NUM
bracis-28423	185	2	.	.	PUNCT
bracis-28423	186	1	as	as	SCONJ
bracis-28423	186	2	criteria	criterion	NOUN
bracis-28423	186	3	to	to	PART
bracis-28423	186	4	determine	determine	VERB
bracis-28423	186	5	the	the	DET
bracis-28423	186	6	quality	quality	NOUN
bracis-28423	186	7	of	of	ADP
bracis-28423	186	8	the	the	DET
bracis-28423	186	9	indices	index	NOUN
bracis-28423	186	10	,	,	PUNCT
bracis-28423	186	11	we	we	PRON
bracis-28423	186	12	used	use	VERB
bracis-28423	186	13	two	two	NUM
bracis-28423	186	14	approaches	approach	NOUN
bracis-28423	186	15	:	:	PUNCT
bracis-28423	186	16	one	one	NUM
bracis-28423	186	17	based	base	VERB
bracis-28423	186	18	on	on	ADP
bracis-28423	186	19	the	the	DET
bracis-28423	186	20	proportion	proportion	NOUN
bracis-28423	186	21	of	of	ADP
bracis-28423	186	22	times	time	NOUN
bracis-28423	186	23	each	each	DET
bracis-28423	186	24	index	index	NOUN
bracis-28423	186	25	identifies	identify	VERB
bracis-28423	186	26	the	the	DET
bracis-28423	186	27	correct	correct	ADJ
bracis-28423	186	28	number	number	NOUN
bracis-28423	186	29	of	of	ADP
bracis-28423	186	30	clusters	cluster	NOUN
bracis-28423	186	31	(	(	PUNCT
bracis-28423	186	32	hit	hit	VERB
bracis-28423	186	33	rate	rate	NOUN
bracis-28423	186	34	)	)	PUNCT
bracis-28423	186	35	and	and	CCONJ
bracis-28423	186	36	another	another	PRON
bracis-28423	186	37	on	on	ADP
bracis-28423	186	38	the	the	DET
bracis-28423	186	39	mean	mean	ADJ
bracis-28423	186	40	relative	relative	ADJ
bracis-28423	186	41	error	error	NOUN
bracis-28423	186	42	(	(	PUNCT
bracis-28423	186	43	mre	mre	NOUN
bracis-28423	186	44	)	)	PUNCT
bracis-28423	186	45	,	,	PUNCT
bracis-28423	186	46	defined	define	VERB
bracis-28423	186	47	by	by	ADP
bracis-28423	186	48	the	the	DET
bracis-28423	186	49	equation	equation	NOUN
bracis-28423	186	50	$	$	SYM
bracis-28423	186	51	$	$	SYM
bracis-28423	186	52	\begin{aligned	\begin{aligne	VERB
bracis-28423	186	53	}	}	PUNCT
bracis-28423	186	54	\text	\text	ADP
bracis-28423	186	55	{	{	PUNCT
bracis-28423	186	56	mre	mre	NOUN
bracis-28423	186	57	}	}	PUNCT
bracis-28423	186	58	=	=	SYM
bracis-28423	186	59	\frac{|k-\tilde{k}|}{k	\frac{|k-\tilde{k}|}{k	NOUN
bracis-28423	186	60	}	}	PUNCT
bracis-28423	186	61	\text	\text	ADV
bracis-28423	186	62	{	{	PUNCT
bracis-28423	186	63	,	,	PUNCT
bracis-28423	186	64	}	}	PUNCT
bracis-28423	186	65	\end{aligned}$$	\end{aligned}$$	X
bracis-28423	186	66	(	(	PUNCT
bracis-28423	186	67	14	14	NUM
bracis-28423	186	68	)	)	PUNCT
bracis-28423	186	69	where	where	SCONJ
bracis-28423	186	70	k	k	PROPN
bracis-28423	186	71	represents	represent	VERB
bracis-28423	186	72	the	the	DET
bracis-28423	186	73	correct	correct	ADJ
bracis-28423	186	74	number	number	NOUN
bracis-28423	186	75	of	of	ADP
bracis-28423	186	76	clusters	cluster	NOUN
bracis-28423	186	77	in	in	ADP
bracis-28423	186	78	the	the	DET
bracis-28423	186	79	data	datum	NOUN
bracis-28423	186	80	set	set	VERB
bracis-28423	186	81	and	and	CCONJ
bracis-28423	186	82	\(\tilde{k}\	\(\tilde{k}\	NOUN
bracis-28423	186	83	)	)	PUNCT
bracis-28423	186	84	the	the	DET
bracis-28423	186	85	predicted	predict	VERB
bracis-28423	186	86	number	number	NOUN
bracis-28423	186	87	of	of	ADP
bracis-28423	186	88	clusters	cluster	NOUN
bracis-28423	186	89	.	.	PUNCT
bracis-28423	187	1	thus	thus	ADV
bracis-28423	187	2	,	,	PUNCT
bracis-28423	187	3	we	we	PRON
bracis-28423	187	4	use	use	VERB
bracis-28423	187	5	the	the	DET
bracis-28423	187	6	average	average	NOUN
bracis-28423	187	7	of	of	ADP
bracis-28423	187	8	the	the	DET
bracis-28423	187	9	mre	mre	NOUN
bracis-28423	187	10	to	to	PART
bracis-28423	187	11	analyze	analyze	VERB
bracis-28423	187	12	each	each	PRON
bracis-28423	187	13	of	of	ADP
bracis-28423	187	14	the	the	DET
bracis-28423	187	15	indices	index	NOUN
bracis-28423	187	16	and	and	CCONJ
bracis-28423	187	17	calculate	calculate	VERB
bracis-28423	187	18	the	the	DET
bracis-28423	187	19	standard	standard	ADJ
bracis-28423	187	20	deviation	deviation	NOUN
bracis-28423	187	21	(	(	PUNCT
bracis-28423	187	22	std	std	NOUN
bracis-28423	187	23	)	)	PUNCT
bracis-28423	187	24	.	.	PUNCT
bracis-28423	188	1	to	to	PART
bracis-28423	188	2	improve	improve	VERB
bracis-28423	188	3	the	the	DET
bracis-28423	188	4	visualization	visualization	NOUN
bracis-28423	188	5	of	of	ADP
bracis-28423	188	6	the	the	DET
bracis-28423	188	7	results	result	NOUN
bracis-28423	188	8	,	,	PUNCT
bracis-28423	188	9	we	we	PRON
bracis-28423	188	10	highlight	highlight	VERB
bracis-28423	188	11	the	the	DET
bracis-28423	188	12	best	good	ADJ
bracis-28423	188	13	performances	performance	NOUN
bracis-28423	188	14	in	in	ADP
bracis-28423	188	15	bold	bold	ADJ
bracis-28423	188	16	.	.	PUNCT
bracis-28423	189	1	initially	initially	ADV
bracis-28423	189	2	,	,	PUNCT
bracis-28423	189	3	analyzing	analyze	VERB
bracis-28423	189	4	the	the	DET
bracis-28423	189	5	overall	overall	ADJ
bracis-28423	189	6	performance	performance	NOUN
bracis-28423	189	7	of	of	ADP
bracis-28423	189	8	the	the	DET
bracis-28423	189	9	indices	index	NOUN
bracis-28423	189	10	,	,	PUNCT
bracis-28423	189	11	presented	present	VERB
bracis-28423	189	12	by	by	ADP
bracis-28423	189	13	table	table	NOUN
bracis-28423	189	14	 	 	SPACE
bracis-28423	189	15	2	2	NUM
bracis-28423	189	16	,	,	PUNCT
bracis-28423	189	17	we	we	PRON
bracis-28423	189	18	can	can	AUX
bracis-28423	189	19	observe	observe	VERB
bracis-28423	189	20	that	that	DET
bracis-28423	189	21	sledge	sledge	NOUN
bracis-28423	189	22	obtains	obtain	VERB
bracis-28423	189	23	the	the	DET
bracis-28423	189	24	best	good	ADJ
bracis-28423	189	25	performance	performance	NOUN
bracis-28423	189	26	,	,	PUNCT
bracis-28423	189	27	i.e.	i.e.	X
bracis-28423	189	28	the	the	DET
bracis-28423	189	29	smallest	small	ADJ
bracis-28423	189	30	mre	mre	NOUN
bracis-28423	189	31	.	.	PROPN
bracis-28423	190	1	we	we	PRON
bracis-28423	190	2	use	use	VERB
bracis-28423	190	3	the	the	DET
bracis-28423	190	4	standard	standard	ADJ
bracis-28423	190	5	deviation	deviation	NOUN
bracis-28423	190	6	(	(	PUNCT
bracis-28423	190	7	std	std	NOUN
bracis-28423	190	8	)	)	PUNCT
bracis-28423	190	9	in	in	ADP
bracis-28423	190	10	order	order	NOUN
bracis-28423	190	11	to	to	PART
bracis-28423	190	12	verify	verify	VERB
bracis-28423	190	13	how	how	SCONJ
bracis-28423	190	14	much	much	ADJ
bracis-28423	190	15	the	the	DET
bracis-28423	190	16	mre	mre	PROPN
bracis-28423	190	17	values	value	NOUN
bracis-28423	190	18	deviate	deviate	VERB
bracis-28423	190	19	from	from	ADP
bracis-28423	190	20	the	the	DET
bracis-28423	190	21	average	average	NOUN
bracis-28423	190	22	.	.	PUNCT
bracis-28423	191	1	the	the	DET
bracis-28423	191	2	hit	hit	VERB
bracis-28423	191	3	rate	rate	NOUN
bracis-28423	191	4	presents	present	VERB
bracis-28423	191	5	the	the	DET
bracis-28423	191	6	ratio	ratio	NOUN
bracis-28423	191	7	of	of	ADP
bracis-28423	191	8	the	the	DET
bracis-28423	191	9	number	number	NOUN
bracis-28423	191	10	of	of	ADP
bracis-28423	191	11	times	time	NOUN
bracis-28423	191	12	the	the	DET
bracis-28423	191	13	mre	mre	PROPN
bracis-28423	191	14	is	be	AUX
bracis-28423	191	15	zero	zero	NUM
bracis-28423	191	16	,	,	PUNCT
bracis-28423	191	17	i.e.	i.e.	X
bracis-28423	191	18	the	the	DET
bracis-28423	191	19	index	index	NOUN
bracis-28423	191	20	correctly	correctly	ADV
bracis-28423	191	21	identifies	identify	VERB
bracis-28423	191	22	the	the	DET
bracis-28423	191	23	number	number	NOUN
bracis-28423	191	24	of	of	ADP
bracis-28423	191	25	clusters	cluster	NOUN
bracis-28423	191	26	.	.	PUNCT
bracis-28423	192	1	on	on	ADP
bracis-28423	192	2	both	both	DET
bracis-28423	192	3	measures	measure	NOUN
bracis-28423	192	4	,	,	PUNCT
bracis-28423	192	5	sledge	sledge	NOUN
bracis-28423	192	6	also	also	ADV
bracis-28423	192	7	performs	perform	VERB
bracis-28423	192	8	best	good	ADJ
bracis-28423	192	9	,	,	PUNCT
bracis-28423	192	10	identifying	identify	VERB
bracis-28423	192	11	the	the	DET
bracis-28423	192	12	correct	correct	ADJ
bracis-28423	192	13	number	number	NOUN
bracis-28423	192	14	of	of	ADP
bracis-28423	192	15	clusters	cluster	NOUN
bracis-28423	192	16	in	in	ADP
bracis-28423	192	17	85	85	NUM
bracis-28423	192	18	%	%	NOUN
bracis-28423	192	19	of	of	ADP
bracis-28423	192	20	the	the	DET
bracis-28423	192	21	data	data	NOUN
bracis-28423	192	22	sets	set	NOUN
bracis-28423	192	23	and	and	CCONJ
bracis-28423	192	24	the	the	DET
bracis-28423	192	25	lowest	low	ADJ
bracis-28423	192	26	std	std	NOUN
bracis-28423	192	27	among	among	ADP
bracis-28423	192	28	the	the	DET
bracis-28423	192	29	rest	rest	NOUN
bracis-28423	192	30	.	.	PUNCT
bracis-28423	193	1	in	in	ADP
bracis-28423	193	2	second	second	ADJ
bracis-28423	193	3	,	,	PUNCT
bracis-28423	193	4	we	we	PRON
bracis-28423	193	5	can	can	AUX
bracis-28423	193	6	observe	observe	VERB
bracis-28423	193	7	that	that	SCONJ
bracis-28423	193	8	the	the	DET
bracis-28423	193	9	asw	asw	PROPN
bracis-28423	193	10	obtains	obtain	VERB
bracis-28423	193	11	a	a	DET
bracis-28423	193	12	very	very	ADV
bracis-28423	193	13	similar	similar	ADJ
bracis-28423	193	14	performance	performance	NOUN
bracis-28423	193	15	,	,	PUNCT
bracis-28423	193	16	even	even	ADV
bracis-28423	193	17	with	with	ADP
bracis-28423	193	18	a	a	DET
bracis-28423	193	19	similar	similar	ADJ
bracis-28423	193	20	std	std	NOUN
bracis-28423	193	21	,	,	PUNCT
bracis-28423	193	22	despite	despite	SCONJ
bracis-28423	193	23	the	the	DET
bracis-28423	193	24	proportion	proportion	NOUN
bracis-28423	193	25	of	of	ADP
bracis-28423	193	26	hits	hit	NOUN
bracis-28423	193	27	being	be	AUX
bracis-28423	193	28	lower	low	ADJ
bracis-28423	193	29	than	than	SCONJ
bracis-28423	193	30	expected	expect	VERB
bracis-28423	193	31	.	.	PUNCT
bracis-28423	194	1	table	table	NOUN
bracis-28423	194	2	2	2	NUM
bracis-28423	194	3	.	.	PUNCT
bracis-28423	195	1	overall	overall	ADJ
bracis-28423	195	2	performances	performance	NOUN
bracis-28423	195	3	of	of	ADP
bracis-28423	195	4	each	each	DET
bracis-28423	195	5	index	index	NOUN
bracis-28423	195	6	,	,	PUNCT
bracis-28423	195	7	presented	present	VERB
bracis-28423	195	8	using	use	VERB
bracis-28423	195	9	the	the	DET
bracis-28423	195	10	mre	mre	PROPN
bracis-28423	195	11	average	average	NOUN
bracis-28423	195	12	,	,	PUNCT
bracis-28423	195	13	std	std	NOUN
bracis-28423	195	14	and	and	CCONJ
bracis-28423	195	15	hit	hit	VERB
bracis-28423	195	16	rate.full	rate.full	NOUN
bracis-28423	195	17	size	size	NOUN
bracis-28423	195	18	table	table	NOUN
bracis-28423	195	19	given	give	VERB
bracis-28423	195	20	the	the	DET
bracis-28423	195	21	different	different	ADJ
bracis-28423	195	22	configurations	configuration	NOUN
bracis-28423	195	23	of	of	ADP
bracis-28423	195	24	dispersion	dispersion	NOUN
bracis-28423	195	25	of	of	ADP
bracis-28423	195	26	the	the	DET
bracis-28423	195	27	data	data	NOUN
bracis-28423	195	28	points	point	NOUN
bracis-28423	195	29	of	of	ADP
bracis-28423	195	30	the	the	DET
bracis-28423	195	31	variables	variable	NOUN
bracis-28423	195	32	\(\epsilon	\(\epsilon	NOUN
bracis-28423	195	33	\	\	ADJ
bracis-28423	195	34	)	)	PUNCT
bracis-28423	195	35	and	and	CCONJ
bracis-28423	195	36	\(\lambda	\(\lambda	NOUN
bracis-28423	195	37	\	\	NOUN
bracis-28423	195	38	)	)	PUNCT
bracis-28423	195	39	,	,	PUNCT
bracis-28423	195	40	we	we	PRON
bracis-28423	195	41	expect	expect	VERB
bracis-28423	195	42	that	that	SCONJ
bracis-28423	195	43	in	in	ADP
bracis-28423	195	44	the	the	DET
bracis-28423	195	45	configuration	configuration	NOUN
bracis-28423	195	46	with	with	ADP
bracis-28423	195	47	\(\epsilon	\(\epsilon	NOUN
bracis-28423	195	48	=	=	SYM
bracis-28423	195	49	0.1\	0.1\	X
bracis-28423	195	50	)	)	PUNCT
bracis-28423	195	51	and	and	CCONJ
bracis-28423	195	52	\(\lambda	\(\lambda	NOUN
bracis-28423	195	53	=	=	SYM
bracis-28423	195	54	0.9\	0.9\	NOUN
bracis-28423	195	55	)	)	PUNCT
bracis-28423	195	56	the	the	DET
bracis-28423	195	57	mre	mre	PROPN
bracis-28423	195	58	is	be	AUX
bracis-28423	195	59	smaller	small	ADJ
bracis-28423	195	60	,	,	PUNCT
bracis-28423	195	61	since	since	SCONJ
bracis-28423	195	62	the	the	DET
bracis-28423	195	63	clusters	cluster	NOUN
bracis-28423	195	64	are	be	AUX
bracis-28423	195	65	more	more	ADV
bracis-28423	195	66	separated	separate	VERB
bracis-28423	195	67	and	and	CCONJ
bracis-28423	195	68	the	the	DET
bracis-28423	195	69	data	data	NOUN
bracis-28423	195	70	points	point	VERB
bracis-28423	195	71	closer	close	ADV
bracis-28423	195	72	to	to	ADP
bracis-28423	195	73	each	each	DET
bracis-28423	195	74	other	other	ADJ
bracis-28423	195	75	.	.	PUNCT
bracis-28423	196	1	unlike	unlike	ADP
bracis-28423	196	2	the	the	DET
bracis-28423	196	3	setting	set	VERB
bracis-28423	196	4	\(\epsilon	\(\epsilon	NOUN
bracis-28423	196	5	=	=	SYM
bracis-28423	196	6	0.2\	0.2\	ADJ
bracis-28423	196	7	)	)	PUNCT
bracis-28423	196	8	and	and	CCONJ
bracis-28423	196	9	\(\lambda	\(\lambda	NOUN
bracis-28423	196	10	=	=	SYM
bracis-28423	196	11	0.8\	0.8\	NUM
bracis-28423	196	12	)	)	PUNCT
bracis-28423	196	13	,	,	PUNCT
bracis-28423	196	14	where	where	SCONJ
bracis-28423	196	15	the	the	DET
bracis-28423	196	16	opposite	opposite	ADJ
bracis-28423	196	17	scenario	scenario	NOUN
bracis-28423	196	18	is	be	AUX
bracis-28423	196	19	observed	observe	VERB
bracis-28423	196	20	.	.	PUNCT
bracis-28423	197	1	as	as	SCONJ
bracis-28423	197	2	described	describe	VERB
bracis-28423	197	3	by	by	ADP
bracis-28423	197	4	saha	saha	PROPN
bracis-28423	197	5	and	and	CCONJ
bracis-28423	197	6	mukherjee	mukherjee	PROPN
bracis-28423	197	7	(	(	PUNCT
bracis-28423	197	8	2021	2021	NUM
bracis-28423	197	9	)	)	PUNCT
bracis-28423	197	10	 	 	SPACE
bracis-28423	197	11	[	[	X
bracis-28423	197	12	18	18	NUM
bracis-28423	197	13	]	]	X
bracis-28423	197	14	,	,	PUNCT
bracis-28423	197	15	as	as	SCONJ
bracis-28423	197	16	the	the	DET
bracis-28423	197	17	proportion	proportion	NOUN
bracis-28423	197	18	of	of	ADP
bracis-28423	197	19	overlapping	overlap	VERB
bracis-28423	197	20	between	between	ADP
bracis-28423	197	21	data	datum	NOUN
bracis-28423	197	22	points	point	NOUN
bracis-28423	197	23	increases	increase	NOUN
bracis-28423	197	24	and	and	CCONJ
bracis-28423	197	25	the	the	DET
bracis-28423	197	26	separation	separation	NOUN
bracis-28423	197	27	between	between	ADP
bracis-28423	197	28	clusters	cluster	NOUN
bracis-28423	197	29	decreases	decrease	VERB
bracis-28423	197	30	,	,	PUNCT
bracis-28423	197	31	the	the	DET
bracis-28423	197	32	performance	performance	NOUN
bracis-28423	197	33	of	of	ADP
bracis-28423	197	34	the	the	DET
bracis-28423	197	35	indices	index	NOUN
bracis-28423	197	36	tends	tend	VERB
bracis-28423	197	37	to	to	PART
bracis-28423	197	38	decrease	decrease	VERB
bracis-28423	197	39	as	as	ADV
bracis-28423	197	40	well	well	ADV
bracis-28423	197	41	.	.	PUNCT
bracis-28423	198	1	despite	despite	SCONJ
bracis-28423	198	2	varying	vary	VERB
bracis-28423	198	3	the	the	DET
bracis-28423	198	4	noise	noise	NOUN
bracis-28423	198	5	(	(	PUNCT
bracis-28423	198	6	\(\epsilon	\(\epsilon	NOUN
bracis-28423	198	7	\	\	ADJ
bracis-28423	198	8	)	)	PUNCT
bracis-28423	198	9	)	)	PUNCT
bracis-28423	199	1	and	and	CCONJ
bracis-28423	199	2	overlapping	overlap	VERB
bracis-28423	199	3	(	(	PUNCT
bracis-28423	199	4	\(\lambda	\(\lambda	NOUN
bracis-28423	199	5	\	\	NOUN
bracis-28423	199	6	)	)	PUNCT
bracis-28423	199	7	)	)	PUNCT
bracis-28423	199	8	parameters	parameter	NOUN
bracis-28423	199	9	to	to	PART
bracis-28423	199	10	produce	produce	VERB
bracis-28423	199	11	different	different	ADJ
bracis-28423	199	12	dispersion	dispersion	NOUN
bracis-28423	199	13	configurations	configuration	NOUN
bracis-28423	199	14	,	,	PUNCT
bracis-28423	199	15	these	these	DET
bracis-28423	199	16	configurations	configuration	NOUN
bracis-28423	199	17	are	be	AUX
bracis-28423	199	18	not	not	PART
bracis-28423	199	19	significantly	significantly	ADV
bracis-28423	199	20	different	different	ADJ
bracis-28423	199	21	to	to	ADP
bracis-28423	199	22	the	the	DET
bracis-28423	199	23	point	point	NOUN
bracis-28423	199	24	that	that	SCONJ
bracis-28423	199	25	sudden	sudden	ADJ
bracis-28423	199	26	changes	change	NOUN
bracis-28423	199	27	are	be	AUX
bracis-28423	199	28	verified	verify	VERB
bracis-28423	199	29	within	within	ADP
bracis-28423	199	30	the	the	DET
bracis-28423	199	31	same	same	ADJ
bracis-28423	199	32	index	index	NOUN
bracis-28423	199	33	.	.	PUNCT
bracis-28423	200	1	as	as	ADP
bracis-28423	200	2	for	for	ADP
bracis-28423	200	3	the	the	DET
bracis-28423	200	4	results	result	NOUN
bracis-28423	200	5	,	,	PUNCT
bracis-28423	200	6	according	accord	VERB
bracis-28423	200	7	to	to	ADP
bracis-28423	200	8	table	table	NOUN
bracis-28423	200	9	 	 	SPACE
bracis-28423	200	10	3	3	NUM
bracis-28423	200	11	,	,	PUNCT
bracis-28423	200	12	we	we	PRON
bracis-28423	200	13	can	can	AUX
bracis-28423	200	14	see	see	VERB
bracis-28423	200	15	that	that	SCONJ
bracis-28423	200	16	the	the	DET
bracis-28423	200	17	sledge	sledge	NOUN
bracis-28423	200	18	index	index	NOUN
bracis-28423	200	19	achieves	achieve	VERB
bracis-28423	200	20	the	the	DET
bracis-28423	200	21	best	good	ADJ
bracis-28423	200	22	performance	performance	NOUN
bracis-28423	200	23	,	,	PUNCT
bracis-28423	200	24	despite	despite	SCONJ
bracis-28423	200	25	being	be	AUX
bracis-28423	200	26	just	just	ADV
bracis-28423	200	27	a	a	DET
bracis-28423	200	28	little	little	ADJ
bracis-28423	200	29	higher	high	ADJ
bracis-28423	200	30	than	than	ADP
bracis-28423	200	31	the	the	DET
bracis-28423	200	32	asw	asw	PROPN
bracis-28423	200	33	index	index	PROPN
bracis-28423	200	34	.	.	PUNCT
bracis-28423	201	1	cnak	cnak	NOUN
bracis-28423	201	2	,	,	PUNCT
bracis-28423	201	3	given	give	VERB
bracis-28423	201	4	that	that	SCONJ
bracis-28423	201	5	it	it	PRON
bracis-28423	201	6	is	be	AUX
bracis-28423	201	7	especially	especially	ADV
bracis-28423	201	8	sensitive	sensitive	ADJ
bracis-28423	201	9	to	to	ADP
bracis-28423	201	10	overlapping	overlap	VERB
bracis-28423	201	11	and	and	CCONJ
bracis-28423	201	12	noise	noise	NOUN
bracis-28423	201	13	in	in	ADP
bracis-28423	201	14	the	the	DET
bracis-28423	201	15	data	data	NOUN
bracis-28423	201	16	sets	set	VERB
bracis-28423	201	17	 	 	SPACE
bracis-28423	202	1	[	[	X
bracis-28423	202	2	18	18	NUM
bracis-28423	202	3	]	]	PUNCT
bracis-28423	202	4	,	,	PUNCT
bracis-28423	202	5	presented	present	VERB
bracis-28423	202	6	a	a	DET
bracis-28423	202	7	much	much	ADV
bracis-28423	202	8	lower	low	ADJ
bracis-28423	202	9	performance	performance	NOUN
bracis-28423	202	10	,	,	PUNCT
bracis-28423	202	11	but	but	CCONJ
bracis-28423	202	12	expected	expect	VERB
bracis-28423	202	13	,	,	PUNCT
bracis-28423	202	14	given	give	VERB
bracis-28423	202	15	the	the	DET
bracis-28423	202	16	presence	presence	NOUN
bracis-28423	202	17	of	of	ADP
bracis-28423	202	18	a	a	DET
bracis-28423	202	19	large	large	ADJ
bracis-28423	202	20	number	number	NOUN
bracis-28423	202	21	of	of	ADP
bracis-28423	202	22	these	these	DET
bracis-28423	202	23	characteristics	characteristic	NOUN
bracis-28423	202	24	in	in	ADP
bracis-28423	202	25	the	the	DET
bracis-28423	202	26	test	test	NOUN
bracis-28423	202	27	data	datum	NOUN
bracis-28423	202	28	sets	set	NOUN
bracis-28423	202	29	.	.	PUNCT
bracis-28423	203	1	as	as	ADP
bracis-28423	203	2	for	for	ADP
bracis-28423	203	3	cubage	cubage	NOUN
bracis-28423	203	4	 	 	SPACE
bracis-28423	203	5	[	[	X
bracis-28423	203	6	7	7	NUM
bracis-28423	203	7	]	]	PUNCT
bracis-28423	203	8	,	,	PUNCT
bracis-28423	203	9	the	the	DET
bracis-28423	203	10	index	index	NOUN
bracis-28423	203	11	performs	perform	VERB
bracis-28423	203	12	better	well	ADV
bracis-28423	203	13	in	in	ADP
bracis-28423	203	14	more	more	ADV
bracis-28423	203	15	compact	compact	ADJ
bracis-28423	203	16	and	and	CCONJ
bracis-28423	203	17	separate	separate	ADJ
bracis-28423	203	18	clusters	cluster	NOUN
bracis-28423	203	19	,	,	PUNCT
bracis-28423	203	20	which	which	PRON
bracis-28423	203	21	can	can	AUX
bracis-28423	203	22	be	be	AUX
bracis-28423	203	23	observed	observe	VERB
bracis-28423	203	24	when	when	SCONJ
bracis-28423	203	25	we	we	PRON
bracis-28423	203	26	analyze	analyze	VERB
bracis-28423	203	27	the	the	DET
bracis-28423	203	28	different	different	ADJ
bracis-28423	203	29	scenarios	scenario	NOUN
bracis-28423	203	30	.	.	PUNCT
bracis-28423	204	1	table	table	NOUN
bracis-28423	204	2	3	3	NUM
bracis-28423	204	3	.	.	PUNCT
bracis-28423	204	4	average	average	ADJ
bracis-28423	204	5	mre	mre	NOUN
bracis-28423	204	6	of	of	ADP
bracis-28423	204	7	each	each	DET
bracis-28423	204	8	index	index	NOUN
bracis-28423	204	9	given	give	VERB
bracis-28423	204	10	different	different	ADJ
bracis-28423	204	11	\(\epsilon	\(\epsilon	NOUN
bracis-28423	204	12	\	\	NOUN
bracis-28423	204	13	)	)	PUNCT
bracis-28423	204	14	and	and	CCONJ
bracis-28423	204	15	\(\lambda	\(\lambda	NOUN
bracis-28423	204	16	\	\	NOUN
bracis-28423	204	17	)	)	PUNCT
bracis-28423	204	18	settings.full	settings.full	ADJ
bracis-28423	204	19	size	size	NOUN
bracis-28423	204	20	table	table	NOUN
bracis-28423	204	21	as	as	ADP
bracis-28423	204	22	for	for	ADP
bracis-28423	204	23	the	the	DET
bracis-28423	204	24	number	number	NOUN
bracis-28423	204	25	of	of	ADP
bracis-28423	204	26	clusters	cluster	NOUN
bracis-28423	204	27	tested	test	VERB
bracis-28423	204	28	,	,	PUNCT
bracis-28423	204	29	we	we	PRON
bracis-28423	204	30	identified	identify	VERB
bracis-28423	204	31	that	that	SCONJ
bracis-28423	204	32	for	for	ADP
bracis-28423	204	33	most	most	ADJ
bracis-28423	204	34	indices	index	NOUN
bracis-28423	204	35	the	the	DET
bracis-28423	204	36	mre	mre	PROPN
bracis-28423	204	37	tends	tend	VERB
bracis-28423	204	38	to	to	PART
bracis-28423	204	39	increase	increase	VERB
bracis-28423	204	40	directly	directly	ADV
bracis-28423	204	41	proportional	proportional	ADJ
bracis-28423	204	42	to	to	ADP
bracis-28423	204	43	the	the	DET
bracis-28423	204	44	number	number	NOUN
bracis-28423	204	45	of	of	ADP
bracis-28423	204	46	k	k	PROPN
bracis-28423	204	47	,	,	PUNCT
bracis-28423	204	48	except	except	SCONJ
bracis-28423	204	49	for	for	ADP
bracis-28423	204	50	the	the	DET
bracis-28423	204	51	db	db	PROPN
bracis-28423	204	52	index	index	NOUN
bracis-28423	204	53	.	.	PUNCT
bracis-28423	205	1	some	some	DET
bracis-28423	205	2	indices	index	NOUN
bracis-28423	205	3	in	in	ADP
bracis-28423	205	4	particular	particular	ADJ
bracis-28423	205	5	,	,	PUNCT
bracis-28423	205	6	such	such	ADJ
bracis-28423	205	7	as	as	ADP
bracis-28423	205	8	cnak	cnak	NOUN
bracis-28423	205	9	,	,	PUNCT
bracis-28423	205	10	ch	ch	NOUN
bracis-28423	205	11	and	and	CCONJ
bracis-28423	205	12	asw	asw	PROPN
bracis-28423	205	13	for	for	ADP
bracis-28423	205	14	example	example	NOUN
bracis-28423	205	15	,	,	PUNCT
bracis-28423	205	16	the	the	PRON
bracis-28423	205	17	smaller	small	ADJ
bracis-28423	205	18	the	the	DET
bracis-28423	205	19	number	number	NOUN
bracis-28423	205	20	of	of	ADP
bracis-28423	205	21	clusters	cluster	NOUN
bracis-28423	205	22	in	in	ADP
bracis-28423	205	23	the	the	DET
bracis-28423	205	24	data	data	NOUN
bracis-28423	205	25	set	set	VERB
bracis-28423	205	26	,	,	PUNCT
bracis-28423	205	27	the	the	PRON
bracis-28423	205	28	greater	great	ADJ
bracis-28423	205	29	the	the	DET
bracis-28423	205	30	chances	chance	NOUN
bracis-28423	205	31	of	of	ADP
bracis-28423	205	32	success	success	NOUN
bracis-28423	205	33	of	of	ADP
bracis-28423	205	34	the	the	DET
bracis-28423	205	35	indices	index	NOUN
bracis-28423	205	36	 	 	SPACE
bracis-28423	206	1	[	[	X
bracis-28423	206	2	18	18	NUM
bracis-28423	206	3	]	]	PUNCT
bracis-28423	206	4	.	.	PUNCT
bracis-28423	207	1	thus	thus	ADV
bracis-28423	207	2	,	,	PUNCT
bracis-28423	207	3	given	give	VERB
bracis-28423	207	4	table	table	NOUN
bracis-28423	207	5	 	 	SPACE
bracis-28423	207	6	4	4	NUM
bracis-28423	207	7	,	,	PUNCT
bracis-28423	207	8	we	we	PRON
bracis-28423	207	9	can	can	AUX
bracis-28423	207	10	observe	observe	VERB
bracis-28423	207	11	that	that	SCONJ
bracis-28423	207	12	the	the	DET
bracis-28423	207	13	sledge	sledge	NOUN
bracis-28423	207	14	index	index	NOUN
bracis-28423	207	15	had	have	VERB
bracis-28423	207	16	the	the	DET
bracis-28423	207	17	best	good	ADJ
bracis-28423	207	18	performance	performance	NOUN
bracis-28423	207	19	,	,	PUNCT
bracis-28423	207	20	followed	follow	VERB
bracis-28423	207	21	by	by	ADP
bracis-28423	207	22	the	the	DET
bracis-28423	207	23	asw	asw	PROPN
bracis-28423	207	24	,	,	PUNCT
bracis-28423	207	25	but	but	CCONJ
bracis-28423	207	26	that	that	SCONJ
bracis-28423	207	27	it	it	PRON
bracis-28423	207	28	decreases	decrease	VERB
bracis-28423	207	29	a	a	DET
bracis-28423	207	30	little	little	ADJ
bracis-28423	207	31	when	when	SCONJ
bracis-28423	207	32	the	the	DET
bracis-28423	207	33	number	number	NOUN
bracis-28423	207	34	of	of	ADP
bracis-28423	207	35	clusters	cluster	NOUN
bracis-28423	207	36	increases	increase	NOUN
bracis-28423	207	37	.	.	PUNCT
bracis-28423	208	1	table	table	NOUN
bracis-28423	208	2	4	4	NUM
bracis-28423	208	3	.	.	PUNCT
bracis-28423	208	4	average	average	ADJ
bracis-28423	208	5	mre	mre	NOUN
bracis-28423	208	6	of	of	ADP
bracis-28423	208	7	each	each	DET
bracis-28423	208	8	index	index	NOUN
bracis-28423	208	9	evaluated	evaluate	VERB
bracis-28423	208	10	from	from	ADP
bracis-28423	208	11	different	different	ADJ
bracis-28423	208	12	numbers	number	NOUN
bracis-28423	208	13	of	of	ADP
bracis-28423	208	14	clusters.full	clusters.full	NOUN
bracis-28423	208	15	size	size	NOUN
bracis-28423	208	16	table	table	NOUN
bracis-28423	208	17	in	in	ADP
bracis-28423	208	18	the	the	DET
bracis-28423	208	19	studies	study	NOUN
bracis-28423	208	20	we	we	PRON
bracis-28423	208	21	use	use	VERB
bracis-28423	208	22	as	as	ADP
bracis-28423	208	23	a	a	DET
bracis-28423	208	24	reference	reference	NOUN
bracis-28423	208	25	,	,	PUNCT
bracis-28423	208	26	given	give	VERB
bracis-28423	208	27	the	the	DET
bracis-28423	208	28	average	average	ADJ
bracis-28423	208	29	performance	performance	NOUN
bracis-28423	208	30	of	of	ADP
bracis-28423	208	31	the	the	DET
bracis-28423	208	32	classic	classic	ADJ
bracis-28423	208	33	cluster	cluster	NOUN
bracis-28423	208	34	validation	validation	NOUN
bracis-28423	208	35	indices	index	NOUN
bracis-28423	208	36	,	,	PUNCT
bracis-28423	208	37	when	when	SCONJ
bracis-28423	208	38	different	different	ADJ
bracis-28423	208	39	algorithms	algorithm	NOUN
bracis-28423	208	40	are	be	AUX
bracis-28423	208	41	used	use	VERB
bracis-28423	208	42	to	to	PART
bracis-28423	208	43	evaluate	evaluate	VERB
bracis-28423	208	44	the	the	DET
bracis-28423	208	45	experiments	experiment	NOUN
bracis-28423	208	46	,	,	PUNCT
bracis-28423	208	47	it	it	PRON
bracis-28423	208	48	is	be	AUX
bracis-28423	208	49	observed	observe	VERB
bracis-28423	208	50	that	that	SCONJ
bracis-28423	208	51	asw	asw	PROPN
bracis-28423	208	52	usually	usually	ADV
bracis-28423	208	53	performs	perform	VERB
bracis-28423	208	54	better	well	ADV
bracis-28423	208	55	,	,	PUNCT
bracis-28423	208	56	followed	follow	VERB
bracis-28423	208	57	by	by	ADP
bracis-28423	208	58	ch	ch	NOUN
bracis-28423	208	59	and	and	CCONJ
bracis-28423	208	60	finally	finally	ADV
bracis-28423	208	61	db	db	VERB
bracis-28423	208	62	,	,	PUNCT
bracis-28423	208	63	as	as	SCONJ
bracis-28423	208	64	shows	show	NOUN
bracis-28423	208	65	table	table	NOUN
bracis-28423	208	66	 	 	SPACE
bracis-28423	208	67	2	2	NUM
bracis-28423	208	68	.	.	PUNCT
bracis-28423	209	1	the	the	DET
bracis-28423	209	2	same	same	ADJ
bracis-28423	209	3	is	be	AUX
bracis-28423	209	4	also	also	ADV
bracis-28423	209	5	observed	observe	VERB
bracis-28423	209	6	for	for	ADP
bracis-28423	209	7	different	different	ADJ
bracis-28423	209	8	degrees	degree	NOUN
bracis-28423	209	9	of	of	ADP
bracis-28423	209	10	data	datum	NOUN
bracis-28423	209	11	point	point	NOUN
bracis-28423	209	12	dispersion	dispersion	NOUN
bracis-28423	209	13	.	.	PUNCT
bracis-28423	210	1	when	when	SCONJ
bracis-28423	210	2	the	the	DET
bracis-28423	210	3	k	k	NOUN
bracis-28423	210	4	-	-	PUNCT
bracis-28423	210	5	means	means	NOUN
bracis-28423	210	6	algorithm	algorithm	NOUN
bracis-28423	210	7	is	be	AUX
bracis-28423	210	8	used	use	VERB
bracis-28423	210	9	,	,	PUNCT
bracis-28423	210	10	the	the	DET
bracis-28423	210	11	asw	asw	PROPN
bracis-28423	210	12	remains	remain	VERB
bracis-28423	210	13	the	the	DET
bracis-28423	210	14	best	well	ADV
bracis-28423	210	15	evaluated	evaluate	VERB
bracis-28423	210	16	,	,	PUNCT
bracis-28423	210	17	but	but	CCONJ
bracis-28423	210	18	the	the	DET
bracis-28423	210	19	db	db	PROPN
bracis-28423	210	20	usually	usually	ADV
bracis-28423	210	21	presents	present	VERB
bracis-28423	210	22	a	a	DET
bracis-28423	210	23	better	well	ADJ
bracis-28423	210	24	result	result	NOUN
bracis-28423	210	25	than	than	ADP
bracis-28423	210	26	the	the	DET
bracis-28423	210	27	ch	ch	PROPN
bracis-28423	210	28	index	index	NOUN
bracis-28423	210	29	,	,	PUNCT
bracis-28423	210	30	as	as	SCONJ
bracis-28423	210	31	demonstrated	demonstrate	VERB
bracis-28423	210	32	by	by	ADP
bracis-28423	210	33	studies	study	NOUN
bracis-28423	210	34	by	by	ADP
bracis-28423	210	35	[	[	X
bracis-28423	210	36	5	5	NUM
bracis-28423	210	37	,	,	PUNCT
bracis-28423	210	38	16	16	NUM
bracis-28423	210	39	,	,	PUNCT
bracis-28423	210	40	18	18	NUM
bracis-28423	210	41	,	,	PUNCT
bracis-28423	210	42	19	19	NUM
bracis-28423	210	43	]	]	PUNCT
bracis-28423	210	44	.	.	PUNCT
bracis-28423	211	1	thus	thus	ADV
bracis-28423	211	2	,	,	PUNCT
bracis-28423	211	3	the	the	DET
bracis-28423	211	4	indexes	index	NOUN
bracis-28423	211	5	demonstrate	demonstrate	VERB
bracis-28423	211	6	to	to	PART
bracis-28423	211	7	have	have	VERB
bracis-28423	211	8	influence	influence	NOUN
bracis-28423	211	9	on	on	ADP
bracis-28423	211	10	the	the	DET
bracis-28423	211	11	type	type	NOUN
bracis-28423	211	12	of	of	ADP
bracis-28423	211	13	clustering	clustering	ADJ
bracis-28423	211	14	algorithm	algorithm	NOUN
bracis-28423	211	15	,	,	PUNCT
bracis-28423	211	16	except	except	SCONJ
bracis-28423	211	17	for	for	ADP
bracis-28423	211	18	the	the	DET
bracis-28423	211	19	db	db	PROPN
bracis-28423	211	20	index	index	NOUN
bracis-28423	211	21	that	that	PRON
bracis-28423	211	22	has	have	VERB
bracis-28423	211	23	better	well	ADJ
bracis-28423	211	24	performance	performance	NOUN
bracis-28423	211	25	when	when	SCONJ
bracis-28423	211	26	k	k	NOUN
bracis-28423	211	27	-	-	PUNCT
bracis-28423	211	28	means	means	NOUN
bracis-28423	211	29	is	be	AUX
bracis-28423	211	30	applied	apply	VERB
bracis-28423	211	31	instead	instead	ADV
bracis-28423	211	32	of	of	ADP
bracis-28423	211	33	hierarchical	hierarchical	ADJ
bracis-28423	211	34	,	,	PUNCT
bracis-28423	211	35	as	as	SCONJ
bracis-28423	211	36	shown	show	VERB
bracis-28423	211	37	in	in	ADP
bracis-28423	211	38	table	table	NOUN
bracis-28423	211	39	 	 	SPACE
bracis-28423	211	40	5	5	NUM
bracis-28423	211	41	.	.	PUNCT
bracis-28423	211	42	table	table	NOUN
bracis-28423	211	43	5	5	NUM
bracis-28423	211	44	.	.	PUNCT
bracis-28423	211	45	average	average	ADJ
bracis-28423	211	46	mre	mre	NOUN
bracis-28423	211	47	of	of	ADP
bracis-28423	211	48	each	each	DET
bracis-28423	211	49	index	index	NOUN
bracis-28423	211	50	evaluated	evaluate	VERB
bracis-28423	211	51	from	from	ADP
bracis-28423	211	52	clustering	cluster	VERB
bracis-28423	211	53	algorithms.full	algorithms.full	NOUN
bracis-28423	211	54	size	size	NOUN
bracis-28423	211	55	table	table	NOUN
bracis-28423	211	56	in	in	ADP
bracis-28423	211	57	addition	addition	NOUN
bracis-28423	211	58	to	to	ADP
bracis-28423	211	59	verifying	verify	VERB
bracis-28423	211	60	the	the	DET
bracis-28423	211	61	performance	performance	NOUN
bracis-28423	211	62	of	of	ADP
bracis-28423	211	63	the	the	DET
bracis-28423	211	64	indices	index	NOUN
bracis-28423	211	65	for	for	ADP
bracis-28423	211	66	different	different	ADJ
bracis-28423	211	67	values	value	NOUN
bracis-28423	211	68	of	of	ADP
bracis-28423	211	69	k	k	NOUN
bracis-28423	211	70	,	,	PUNCT
bracis-28423	211	71	we	we	PRON
bracis-28423	211	72	decided	decide	VERB
bracis-28423	211	73	to	to	PART
bracis-28423	211	74	do	do	VERB
bracis-28423	211	75	some	some	DET
bracis-28423	211	76	tests	test	NOUN
bracis-28423	211	77	in	in	ADP
bracis-28423	211	78	scenarios	scenario	NOUN
bracis-28423	211	79	where	where	SCONJ
bracis-28423	211	80	the	the	DET
bracis-28423	211	81	data	data	NOUN
bracis-28423	211	82	points	point	VERB
bracis-28423	211	83	in	in	ADP
bracis-28423	211	84	the	the	DET
bracis-28423	211	85	clusters	cluster	NOUN
bracis-28423	211	86	are	be	AUX
bracis-28423	211	87	balanced	balanced	ADJ
bracis-28423	211	88	and	and	CCONJ
bracis-28423	211	89	unbalanced	unbalanced	ADJ
bracis-28423	211	90	.	.	PUNCT
bracis-28423	212	1	thus	thus	ADV
bracis-28423	212	2	,	,	PUNCT
bracis-28423	212	3	for	for	ADP
bracis-28423	212	4	the	the	DET
bracis-28423	212	5	same	same	ADJ
bracis-28423	212	6	number	number	NOUN
bracis-28423	212	7	of	of	ADP
bracis-28423	212	8	k	k	PROPN
bracis-28423	212	9	,	,	PUNCT
bracis-28423	212	10	we	we	PRON
bracis-28423	212	11	generate	generate	VERB
bracis-28423	212	12	both	both	DET
bracis-28423	212	13	types	type	NOUN
bracis-28423	212	14	of	of	ADP
bracis-28423	212	15	data	datum	NOUN
bracis-28423	212	16	sets	set	NOUN
bracis-28423	212	17	.	.	PUNCT
bracis-28423	213	1	as	as	SCONJ
bracis-28423	213	2	we	we	PRON
bracis-28423	213	3	can	can	AUX
bracis-28423	213	4	see	see	VERB
bracis-28423	213	5	,	,	PUNCT
bracis-28423	213	6	the	the	DET
bracis-28423	213	7	sledge	sledge	NOUN
bracis-28423	213	8	and	and	CCONJ
bracis-28423	213	9	asw	asw	PROPN
bracis-28423	213	10	indices	index	NOUN
bracis-28423	213	11	demonstrate	demonstrate	VERB
bracis-28423	213	12	significant	significant	ADJ
bracis-28423	213	13	and	and	CCONJ
bracis-28423	213	14	very	very	ADV
bracis-28423	213	15	similar	similar	ADJ
bracis-28423	213	16	performances	performance	NOUN
bracis-28423	213	17	,	,	PUNCT
bracis-28423	213	18	however	however	ADV
bracis-28423	213	19	,	,	PUNCT
bracis-28423	213	20	the	the	DET
bracis-28423	213	21	sledge	sledge	NOUN
bracis-28423	213	22	,	,	PUNCT
bracis-28423	213	23	given	give	VERB
bracis-28423	213	24	the	the	DET
bracis-28423	213	25	proportions	proportion	NOUN
bracis-28423	213	26	,	,	PUNCT
bracis-28423	213	27	continues	continue	VERB
bracis-28423	213	28	to	to	PART
bracis-28423	213	29	perform	perform	VERB
bracis-28423	213	30	well	well	ADV
bracis-28423	213	31	in	in	ADP
bracis-28423	213	32	cases	case	NOUN
bracis-28423	213	33	where	where	SCONJ
bracis-28423	213	34	the	the	DET
bracis-28423	213	35	data	datum	NOUN
bracis-28423	213	36	is	be	AUX
bracis-28423	213	37	unbalanced	unbalanced	ADJ
bracis-28423	213	38	.	.	PUNCT
bracis-28423	214	1	the	the	DET
bracis-28423	214	2	results	result	NOUN
bracis-28423	214	3	can	can	AUX
bracis-28423	214	4	be	be	AUX
bracis-28423	214	5	observed	observe	VERB
bracis-28423	214	6	from	from	ADP
bracis-28423	214	7	the	the	DET
bracis-28423	214	8	table	table	NOUN
bracis-28423	214	9	 	 	SPACE
bracis-28423	214	10	6	6	NUM
bracis-28423	214	11	.	.	PUNCT
bracis-28423	214	12	table	table	NOUN
bracis-28423	214	13	6	6	NUM
bracis-28423	214	14	.	.	PUNCT
bracis-28423	215	1	average	average	ADJ
bracis-28423	215	2	mre	mre	NOUN
bracis-28423	215	3	of	of	ADP
bracis-28423	215	4	each	each	DET
bracis-28423	215	5	index	index	NOUN
bracis-28423	215	6	applied	apply	VERB
bracis-28423	215	7	to	to	ADP
bracis-28423	215	8	balanced	balanced	ADJ
bracis-28423	215	9	and	and	CCONJ
bracis-28423	215	10	unbalanced	unbalanced	ADJ
bracis-28423	215	11	data	datum	NOUN
bracis-28423	215	12	sets.full	sets.full	PRON
bracis-28423	215	13	size	size	NOUN
bracis-28423	215	14	table	table	NOUN
bracis-28423	215	15	at	at	ADP
bracis-28423	215	16	the	the	DET
bracis-28423	215	17	end	end	NOUN
bracis-28423	215	18	,	,	PUNCT
bracis-28423	215	19	for	for	ADP
bracis-28423	215	20	the	the	DET
bracis-28423	215	21	statistical	statistical	ADJ
bracis-28423	215	22	significance	significance	NOUN
bracis-28423	215	23	test	test	NOUN
bracis-28423	215	24	,	,	PUNCT
bracis-28423	215	25	we	we	PRON
bracis-28423	215	26	select	select	VERB
bracis-28423	215	27	the	the	DET
bracis-28423	215	28	best	good	ADJ
bracis-28423	215	29	performing	performing	NOUN
bracis-28423	215	30	indices	index	NOUN
bracis-28423	215	31	in	in	ADP
bracis-28423	215	32	each	each	DET
bracis-28423	215	33	data	datum	NOUN
bracis-28423	215	34	set	set	VERB
bracis-28423	215	35	,	,	PUNCT
bracis-28423	215	36	given	give	VERB
bracis-28423	215	37	the	the	DET
bracis-28423	215	38	different	different	ADJ
bracis-28423	215	39	algorithms	algorithm	NOUN
bracis-28423	215	40	,	,	PUNCT
bracis-28423	215	41	we	we	PRON
bracis-28423	215	42	rank	rank	VERB
bracis-28423	215	43	them	they	PRON
bracis-28423	215	44	(	(	PUNCT
bracis-28423	215	45	using	use	VERB
bracis-28423	215	46	the	the	DET
bracis-28423	215	47	average	average	ADJ
bracis-28423	215	48	rank	rank	NOUN
bracis-28423	215	49	in	in	ADP
bracis-28423	215	50	the	the	DET
bracis-28423	215	51	tie	tie	NOUN
bracis-28423	215	52	)	)	PUNCT
bracis-28423	215	53	and	and	CCONJ
bracis-28423	215	54	apply	apply	VERB
bracis-28423	215	55	the	the	DET
bracis-28423	215	56	wilcoxon	wilcoxon	ADJ
bracis-28423	215	57	-	-	PUNCT
bracis-28423	215	58	mann	mann	PROPN
bracis-28423	215	59	-	-	PUNCT
bracis-28423	215	60	whitney	whitney	PROPN
bracis-28423	215	61	test	test	NOUN
bracis-28423	215	62	 	 	SPACE
bracis-28423	216	1	[	[	X
bracis-28423	216	2	13	13	NUM
bracis-28423	216	3	]	]	PUNCT
bracis-28423	216	4	.	.	PUNCT
bracis-28423	217	1	as	as	ADP
bracis-28423	217	2	a	a	DET
bracis-28423	217	3	result	result	NOUN
bracis-28423	217	4	,	,	PUNCT
bracis-28423	217	5	given	give	VERB
bracis-28423	217	6	a	a	DET
bracis-28423	217	7	significance	significance	NOUN
bracis-28423	217	8	level	level	NOUN
bracis-28423	217	9	of	of	ADP
bracis-28423	217	10	0.05	0.05	NUM
bracis-28423	217	11	,	,	PUNCT
bracis-28423	217	12	we	we	PRON
bracis-28423	217	13	reject	reject	VERB
bracis-28423	217	14	the	the	DET
bracis-28423	217	15	null	null	ADJ
bracis-28423	217	16	hypothesis	hypothesis	NOUN
bracis-28423	217	17	that	that	SCONJ
bracis-28423	217	18	the	the	DET
bracis-28423	217	19	performance	performance	NOUN
bracis-28423	217	20	of	of	ADP
bracis-28423	217	21	all	all	DET
bracis-28423	217	22	indices	index	NOUN
bracis-28423	217	23	has	have	VERB
bracis-28423	217	24	some	some	DET
bracis-28423	217	25	similarity	similarity	NOUN
bracis-28423	217	26	.	.	PUNCT
bracis-28423	218	1	7	7	NUM
bracis-28423	218	2	conclusion	conclusion	NOUN
bracis-28423	218	3	the	the	DET
bracis-28423	218	4	objective	objective	NOUN
bracis-28423	218	5	of	of	ADP
bracis-28423	218	6	this	this	DET
bracis-28423	218	7	article	article	NOUN
bracis-28423	218	8	is	be	AUX
bracis-28423	218	9	to	to	PART
bracis-28423	218	10	propose	propose	VERB
bracis-28423	218	11	an	an	DET
bracis-28423	218	12	index	index	NOUN
bracis-28423	218	13	that	that	PRON
bracis-28423	218	14	suggests	suggest	VERB
bracis-28423	218	15	the	the	DET
bracis-28423	218	16	most	most	ADV
bracis-28423	218	17	adequate	adequate	ADJ
bracis-28423	218	18	number	number	NOUN
bracis-28423	218	19	of	of	ADP
bracis-28423	218	20	clusters	cluster	NOUN
bracis-28423	218	21	based	base	VERB
bracis-28423	218	22	on	on	ADP
bracis-28423	218	23	the	the	DET
bracis-28423	218	24	potential	potential	NOUN
bracis-28423	218	25	of	of	ADP
bracis-28423	218	26	semantic	semantic	ADJ
bracis-28423	218	27	description	description	NOUN
bracis-28423	218	28	,	,	PUNCT
bracis-28423	218	29	for	for	ADP
bracis-28423	218	30	applications	application	NOUN
bracis-28423	218	31	in	in	ADP
bracis-28423	218	32	categorical	categorical	ADJ
bracis-28423	218	33	data	data	NOUN
bracis-28423	218	34	sets	set	NOUN
bracis-28423	218	35	,	,	PUNCT
bracis-28423	218	36	especially	especially	ADV
bracis-28423	218	37	in	in	ADP
bracis-28423	218	38	clusters	cluster	NOUN
bracis-28423	218	39	of	of	ADP
bracis-28423	218	40	profiles	profile	NOUN
bracis-28423	218	41	based	base	VERB
bracis-28423	218	42	on	on	ADP
bracis-28423	218	43	competences	competence	NOUN
bracis-28423	218	44	.	.	PUNCT
bracis-28423	219	1	for	for	ADP
bracis-28423	219	2	index	index	NOUN
bracis-28423	219	3	validation	validation	NOUN
bracis-28423	219	4	,	,	PUNCT
bracis-28423	219	5	we	we	PRON
bracis-28423	219	6	also	also	ADV
bracis-28423	219	7	propose	propose	VERB
bracis-28423	219	8	a	a	DET
bracis-28423	219	9	synthetic	synthetic	ADJ
bracis-28423	219	10	data	datum	NOUN
bracis-28423	219	11	generator	generator	NOUN
bracis-28423	219	12	suitable	suitable	ADJ
bracis-28423	219	13	for	for	ADP
bracis-28423	219	14	the	the	DET
bracis-28423	219	15	application	application	NOUN
bracis-28423	219	16	,	,	PUNCT
bracis-28423	219	17	with	with	ADP
bracis-28423	219	18	a	a	DET
bracis-28423	219	19	similar	similar	ADJ
bracis-28423	219	20	gaussian	gaussian	ADJ
bracis-28423	219	21	distribution	distribution	NOUN
bracis-28423	219	22	and	and	CCONJ
bracis-28423	219	23	apparently	apparently	ADV
bracis-28423	219	24	well	well	ADV
bracis-28423	219	25	-	-	PUNCT
bracis-28423	219	26	defined	define	VERB
bracis-28423	219	27	clusters	cluster	NOUN
bracis-28423	219	28	,	,	PUNCT
bracis-28423	219	29	despite	despite	SCONJ
bracis-28423	219	30	some	some	DET
bracis-28423	219	31	overlapping	overlap	VERB
bracis-28423	219	32	points	point	NOUN
bracis-28423	219	33	.	.	PUNCT
bracis-28423	220	1	as	as	ADP
bracis-28423	220	2	test	test	NOUN
bracis-28423	220	3	experiments	experiment	NOUN
bracis-28423	220	4	we	we	PRON
bracis-28423	220	5	use	use	VERB
bracis-28423	220	6	3600	3600	NUM
bracis-28423	220	7	datasets	dataset	NOUN
bracis-28423	220	8	with	with	ADP
bracis-28423	220	9	different	different	ADJ
bracis-28423	220	10	configurations	configuration	NOUN
bracis-28423	220	11	and	and	CCONJ
bracis-28423	220	12	clustered	cluster	VERB
bracis-28423	220	13	by	by	ADP
bracis-28423	220	14	different	different	ADJ
bracis-28423	220	15	algorithms	algorithm	NOUN
bracis-28423	220	16	.	.	PUNCT
bracis-28423	221	1	finally	finally	ADV
bracis-28423	221	2	,	,	PUNCT
bracis-28423	221	3	we	we	PRON
bracis-28423	221	4	compare	compare	VERB
bracis-28423	221	5	the	the	DET
bracis-28423	221	6	proposed	propose	VERB
bracis-28423	221	7	index	index	NOUN
bracis-28423	221	8	with	with	ADP
bracis-28423	221	9	other	other	ADJ
bracis-28423	221	10	well	well	ADV
bracis-28423	221	11	-	-	PUNCT
bracis-28423	221	12	known	know	VERB
bracis-28423	221	13	indices	index	NOUN
bracis-28423	221	14	in	in	ADP
bracis-28423	221	15	the	the	DET
bracis-28423	221	16	literature	literature	NOUN
bracis-28423	221	17	and	and	CCONJ
bracis-28423	221	18	with	with	ADP
bracis-28423	221	19	different	different	ADJ
bracis-28423	221	20	approaches	approach	NOUN
bracis-28423	221	21	regarding	regard	VERB
bracis-28423	221	22	the	the	DET
bracis-28423	221	23	prediction	prediction	NOUN
bracis-28423	221	24	of	of	ADP
bracis-28423	221	25	the	the	DET
bracis-28423	221	26	number	number	NOUN
bracis-28423	221	27	of	of	ADP
bracis-28423	221	28	clusters	cluster	NOUN
bracis-28423	221	29	.	.	PUNCT
bracis-28423	222	1	as	as	ADP
bracis-28423	222	2	for	for	ADP
bracis-28423	222	3	the	the	DET
bracis-28423	222	4	results	result	NOUN
bracis-28423	222	5	,	,	PUNCT
bracis-28423	222	6	the	the	DET
bracis-28423	222	7	proposed	propose	VERB
bracis-28423	222	8	index	index	NOUN
bracis-28423	222	9	identifies	identify	VERB
bracis-28423	222	10	with	with	ADP
bracis-28423	222	11	significant	significant	ADJ
bracis-28423	222	12	precision	precision	NOUN
bracis-28423	222	13	the	the	DET
bracis-28423	222	14	correct	correct	ADJ
bracis-28423	222	15	number	number	NOUN
bracis-28423	222	16	of	of	ADP
bracis-28423	222	17	clusters	cluster	NOUN
bracis-28423	222	18	in	in	ADP
bracis-28423	222	19	relation	relation	NOUN
bracis-28423	222	20	to	to	ADP
bracis-28423	222	21	the	the	DET
bracis-28423	222	22	others	other	NOUN
bracis-28423	222	23	,	,	PUNCT
bracis-28423	222	24	although	although	SCONJ
bracis-28423	222	25	other	other	ADJ
bracis-28423	222	26	indices	index	NOUN
bracis-28423	222	27	present	present	VERB
bracis-28423	222	28	a	a	DET
bracis-28423	222	29	similar	similar	ADJ
bracis-28423	222	30	performance	performance	NOUN
bracis-28423	222	31	.	.	PUNCT
bracis-28423	223	1	from	from	ADP
bracis-28423	223	2	the	the	DET
bracis-28423	223	3	analysis	analysis	NOUN
bracis-28423	223	4	of	of	ADP
bracis-28423	223	5	the	the	DET
bracis-28423	223	6	results	result	NOUN
bracis-28423	223	7	and	and	CCONJ
bracis-28423	223	8	comparing	compare	VERB
bracis-28423	223	9	with	with	ADP
bracis-28423	223	10	other	other	ADJ
bracis-28423	223	11	works	work	NOUN
bracis-28423	223	12	,	,	PUNCT
bracis-28423	223	13	we	we	PRON
bracis-28423	223	14	identified	identify	VERB
bracis-28423	223	15	that	that	SCONJ
bracis-28423	223	16	the	the	DET
bracis-28423	223	17	behavior	behavior	NOUN
bracis-28423	223	18	of	of	ADP
bracis-28423	223	19	some	some	DET
bracis-28423	223	20	indices	index	NOUN
bracis-28423	223	21	were	be	AUX
bracis-28423	223	22	the	the	DET
bracis-28423	223	23	same	same	ADJ
bracis-28423	223	24	of	of	ADP
bracis-28423	223	25	those	those	DET
bracis-28423	223	26	works	work	NOUN
bracis-28423	223	27	when	when	SCONJ
bracis-28423	223	28	applied	apply	VERB
bracis-28423	223	29	in	in	ADP
bracis-28423	223	30	the	the	DET
bracis-28423	223	31	synthetic	synthetic	ADJ
bracis-28423	223	32	data	datum	NOUN
bracis-28423	223	33	of	of	ADP
bracis-28423	223	34	the	the	DET
bracis-28423	223	35	proposed	propose	VERB
bracis-28423	223	36	generator	generator	NOUN
bracis-28423	223	37	.	.	PUNCT
bracis-28423	224	1	thus	thus	ADV
bracis-28423	224	2	,	,	PUNCT
bracis-28423	224	3	we	we	PRON
bracis-28423	224	4	believe	believe	VERB
bracis-28423	224	5	that	that	SCONJ
bracis-28423	224	6	the	the	DET
bracis-28423	224	7	generator	generator	NOUN
bracis-28423	224	8	can	can	AUX
bracis-28423	224	9	produce	produce	VERB
bracis-28423	224	10	adequate	adequate	ADJ
bracis-28423	224	11	data	datum	NOUN
bracis-28423	224	12	for	for	ADP
bracis-28423	224	13	the	the	DET
bracis-28423	224	14	internal	internal	ADJ
bracis-28423	224	15	cluster	cluster	NOUN
bracis-28423	224	16	validation	validation	NOUN
bracis-28423	224	17	task	task	NOUN
bracis-28423	224	18	.	.	PUNCT
bracis-28423	225	1	for	for	ADP
bracis-28423	225	2	future	future	ADJ
bracis-28423	225	3	work	work	NOUN
bracis-28423	225	4	we	we	PRON
bracis-28423	225	5	intend	intend	VERB
bracis-28423	225	6	to	to	PART
bracis-28423	225	7	test	test	VERB
bracis-28423	225	8	the	the	DET
bracis-28423	225	9	index	index	NOUN
bracis-28423	225	10	in	in	ADP
bracis-28423	225	11	real	real	ADJ
bracis-28423	225	12	data	datum	NOUN
bracis-28423	225	13	sets	set	NOUN
bracis-28423	225	14	for	for	ADP
bracis-28423	225	15	external	external	ADJ
bracis-28423	225	16	validation	validation	NOUN
bracis-28423	225	17	and	and	CCONJ
bracis-28423	225	18	to	to	PART
bracis-28423	225	19	develop	develop	VERB
bracis-28423	225	20	a	a	DET
bracis-28423	225	21	clustering	clustering	ADJ
bracis-28423	225	22	algorithm	algorithm	NOUN
bracis-28423	225	23	to	to	PART
bracis-28423	225	24	be	be	AUX
bracis-28423	225	25	applied	apply	VERB
bracis-28423	225	26	in	in	ADP
bracis-28423	225	27	competence	competence	NOUN
bracis-28423	225	28	-	-	PUNCT
bracis-28423	225	29	based	base	VERB
bracis-28423	225	30	data	datum	NOUN
bracis-28423	225	31	sets	set	VERB
bracis-28423	225	32	that	that	SCONJ
bracis-28423	225	33	cluster	cluster	NOUN
bracis-28423	225	34	data	datum	NOUN
bracis-28423	225	35	points	point	NOUN
bracis-28423	225	36	in	in	ADP
bracis-28423	225	37	close	close	ADJ
bracis-28423	225	38	profiles	profile	NOUN
bracis-28423	225	39	.	.	PUNCT
bracis-28423	226	1	we	we	PRON
bracis-28423	226	2	intend	intend	VERB
bracis-28423	226	3	to	to	PART
bracis-28423	226	4	apply	apply	VERB
bracis-28423	226	5	our	our	PRON
bracis-28423	226	6	method	method	NOUN
bracis-28423	226	7	in	in	ADP
bracis-28423	226	8	hippocampus	hippocampus	NOUN
bracis-28423	226	9	to	to	PART
bracis-28423	226	10	increase	increase	VERB
bracis-28423	226	11	the	the	DET
bracis-28423	226	12	capabilities	capability	NOUN
bracis-28423	226	13	of	of	ADP
bracis-28423	226	14	the	the	DET
bracis-28423	226	15	dcta	dcta	NOUN
bracis-28423	226	16	’s	’s	PART
bracis-28423	226	17	people	people	NOUN
bracis-28423	226	18	management	management	NOUN
bracis-28423	226	19	sector	sector	NOUN
bracis-28423	226	20	.	.	PUNCT
bracis-28423	227	1	notes	note	VERB
bracis-28423	227	2	1.https://dcta.mil.br/.	1.https://dcta.mil.br/.	NUM
bracis-28423	227	3	2.https://github.com/verri/sledge	2.https://github.com/verri/sledge	NUM
bracis-28423	227	4	.	.	PUNCT
bracis-28423	228	1	3.https://github.com/aquinordg/rdga_4k	3.https://github.com/aquinordg/rdga_4k	NUM
bracis-28423	228	2	.	.	PUNCT
bracis-28423	229	1	references	reference	NOUN
bracis-28423	229	2	agrawal	agrawal	PROPN
bracis-28423	229	3	,	,	PUNCT
bracis-28423	229	4	r.	r.	PROPN
bracis-28423	229	5	,	,	PUNCT
bracis-28423	229	6	srikant	srikant	PROPN
bracis-28423	229	7	,	,	PUNCT
bracis-28423	229	8	r.	r.	PROPN
bracis-28423	229	9	,	,	PUNCT
bracis-28423	229	10	et	et	PROPN
bracis-28423	229	11	al	al	PROPN
bracis-28423	229	12	.	.	PUNCT
bracis-28423	229	13	:	:	PUNCT
bracis-28423	230	1	fast	fast	ADJ
bracis-28423	230	2	algorithms	algorithm	NOUN
bracis-28423	230	3	for	for	ADP
bracis-28423	230	4	mining	mining	NOUN
bracis-28423	230	5	association	association	NOUN
bracis-28423	230	6	rules	rule	NOUN
bracis-28423	230	7	.	.	PUNCT
bracis-28423	231	1	in	in	ADP
bracis-28423	231	2	:	:	PUNCT
bracis-28423	231	3	proceedings	proceeding	NOUN
bracis-28423	231	4	20th	20th	ADJ
bracis-28423	231	5	international	international	ADJ
bracis-28423	231	6	conference	conference	NOUN
bracis-28423	231	7	on	on	ADP
bracis-28423	231	8	very	very	ADV
bracis-28423	231	9	large	large	ADJ
bracis-28423	231	10	data	datum	NOUN
bracis-28423	231	11	bases	basis	NOUN
bracis-28423	231	12	,	,	PUNCT
bracis-28423	231	13	vldb	vldb	PROPN
bracis-28423	231	14	.	.	PUNCT
bracis-28423	232	1	vol	vol	NOUN
bracis-28423	232	2	.	.	PUNCT
bracis-28423	233	1	1215	1215	NUM
bracis-28423	233	2	,	,	PUNCT
bracis-28423	233	3	santiago	santiago	PROPN
bracis-28423	233	4	,	,	PUNCT
bracis-28423	233	5	chile	chile	PROPN
bracis-28423	233	6	,	,	PUNCT
bracis-28423	233	7	pp	pp	ADP
bracis-28423	233	8	.	.	PUNCT
bracis-28423	234	1	487–499	487–499	NUM
bracis-28423	234	2	(	(	PUNCT
bracis-28423	234	3	1994	1994	NUM
bracis-28423	234	4	)	)	PUNCT
bracis-28423	234	5	google	google	PROPN
bracis-28423	234	6	scholar	scholar	NOUN
bracis-28423	234	7	  	  	SPACE
bracis-28423	234	8	arbelaitz	arbelaitz	NOUN
bracis-28423	234	9	,	,	PUNCT
bracis-28423	234	10	o.	o.	PROPN
bracis-28423	234	11	,	,	PUNCT
bracis-28423	234	12	gurrutxaga	gurrutxaga	PROPN
bracis-28423	234	13	,	,	PUNCT
bracis-28423	234	14	i.	i.	PROPN
bracis-28423	234	15	,	,	PUNCT
bracis-28423	234	16	muguerza	muguerza	PROPN
bracis-28423	234	17	,	,	PUNCT
bracis-28423	234	18	j.	j.	PROPN
bracis-28423	234	19	,	,	PUNCT
bracis-28423	234	20	pérez	pérez	NOUN
bracis-28423	234	21	,	,	PUNCT
bracis-28423	234	22	j.m	j.m	PROPN
bracis-28423	234	23	.	.	PROPN
bracis-28423	234	24	,	,	PUNCT
bracis-28423	234	25	perona	perona	PROPN
bracis-28423	234	26	,	,	PUNCT
bracis-28423	234	27	i.	i.	PROPN
bracis-28423	234	28	:	:	PUNCT
bracis-28423	234	29	an	an	DET
bracis-28423	234	30	extensive	extensive	ADJ
bracis-28423	234	31	comparative	comparative	ADJ
bracis-28423	234	32	study	study	NOUN
bracis-28423	234	33	of	of	ADP
bracis-28423	234	34	cluster	cluster	NOUN
bracis-28423	234	35	validity	validity	NOUN
bracis-28423	234	36	indices	indice	VERB
bracis-28423	234	37	.	.	PUNCT
bracis-28423	235	1	pattern	pattern	NOUN
bracis-28423	235	2	recogn	recogn	VERB
bracis-28423	235	3	.	.	PUNCT
bracis-28423	236	1	46(1	46(1	X
bracis-28423	236	2	)	)	PUNCT
bracis-28423	236	3	,	,	PUNCT
bracis-28423	236	4	243–256	243–256	NUM
bracis-28423	236	5	(	(	PUNCT
bracis-28423	236	6	2013	2013	NUM
bracis-28423	236	7	)	)	PUNCT
bracis-28423	236	8	article	article	NOUN
bracis-28423	236	9	  	  	SPACE
bracis-28423	236	10	google	google	PROPN
bracis-28423	236	11	scholar	scholar	NOUN
bracis-28423	236	12	  	  	SPACE
bracis-28423	236	13	caliński	caliński	ADJ
bracis-28423	236	14	,	,	PUNCT
bracis-28423	236	15	t.	t.	PROPN
bracis-28423	236	16	,	,	PUNCT
bracis-28423	236	17	harabasz	harabasz	PROPN
bracis-28423	236	18	,	,	PUNCT
bracis-28423	236	19	j.	j.	PROPN
bracis-28423	236	20	:	:	PUNCT
bracis-28423	236	21	a	a	DET
bracis-28423	236	22	dendrite	dendrite	ADJ
bracis-28423	236	23	method	method	NOUN
bracis-28423	236	24	for	for	ADP
bracis-28423	236	25	cluster	cluster	NOUN
bracis-28423	236	26	analysis	analysis	NOUN
bracis-28423	236	27	.	.	PUNCT
bracis-28423	237	1	commun	commun	PROPN
bracis-28423	237	2	.	.	PUNCT
bracis-28423	238	1	stat.-theory	stat.-theory	NOUN
bracis-28423	238	2	methods	method	NOUN
bracis-28423	238	3	3(1	3(1	NUM
bracis-28423	238	4	)	)	PUNCT
bracis-28423	238	5	,	,	PUNCT
bracis-28423	238	6	1–27	1–27	PROPN
bracis-28423	238	7	(	(	PUNCT
bracis-28423	238	8	1974	1974	NUM
bracis-28423	238	9	)	)	PUNCT
bracis-28423	238	10	article	article	NOUN
bracis-28423	238	11	  	  	SPACE
bracis-28423	238	12	mathscinet	mathscinet	NOUN
bracis-28423	238	13	  	  	SPACE
bracis-28423	238	14	math	math	NOUN
bracis-28423	238	15	  	  	SPACE
bracis-28423	238	16	google	google	PROPN
bracis-28423	238	17	scholar	scholar	NOUN
bracis-28423	238	18	  	  	SPACE
bracis-28423	238	19	davies	davy	NOUN
bracis-28423	238	20	,	,	PUNCT
bracis-28423	238	21	d.l	d.l	PROPN
bracis-28423	238	22	.	.	PROPN
bracis-28423	238	23	,	,	PUNCT
bracis-28423	238	24	bouldin	bouldin	PROPN
bracis-28423	238	25	,	,	PUNCT
bracis-28423	238	26	d.w	d.w	PROPN
bracis-28423	238	27	.	.	PROPN
bracis-28423	238	28	:	:	PUNCT
bracis-28423	239	1	a	a	DET
bracis-28423	239	2	cluster	cluster	NOUN
bracis-28423	239	3	separation	separation	NOUN
bracis-28423	239	4	measure	measure	NOUN
bracis-28423	239	5	.	.	PUNCT
bracis-28423	240	1	ieee	ieee	PROPN
bracis-28423	240	2	trans	trans	PROPN
bracis-28423	240	3	.	.	PUNCT
bracis-28423	240	4	pattern	pattern	PROPN
bracis-28423	240	5	anal	anal	PROPN
bracis-28423	240	6	.	.	PUNCT
bracis-28423	241	1	mach	mach	PROPN
bracis-28423	241	2	.	.	PUNCT
bracis-28423	242	1	intell	intell	PROPN
bracis-28423	242	2	.	.	PUNCT
bracis-28423	243	1	2	2	NUM
bracis-28423	243	2	,	,	PUNCT
bracis-28423	243	3	224–227	224–227	NUM
bracis-28423	243	4	(	(	PUNCT
bracis-28423	243	5	1979	1979	NUM
bracis-28423	243	6	)	)	PUNCT
bracis-28423	243	7	article	article	NOUN
bracis-28423	243	8	  	  	SPACE
bracis-28423	243	9	google	google	PROPN
bracis-28423	243	10	scholar	scholar	NOUN
bracis-28423	243	11	  	  	SPACE
bracis-28423	243	12	dimitriadou	dimitriadou	ADJ
bracis-28423	243	13	,	,	PUNCT
bracis-28423	243	14	e.	e.	PROPN
bracis-28423	243	15	,	,	PUNCT
bracis-28423	243	16	dolničar	dolničar	PROPN
bracis-28423	243	17	,	,	PUNCT
bracis-28423	243	18	s.	s.	PROPN
bracis-28423	243	19	,	,	PUNCT
bracis-28423	243	20	weingessel	weingessel	NOUN
bracis-28423	243	21	,	,	PUNCT
bracis-28423	243	22	a.	a.	NOUN
bracis-28423	243	23	:	:	PUNCT
bracis-28423	243	24	an	an	DET
bracis-28423	243	25	examination	examination	NOUN
bracis-28423	243	26	of	of	ADP
bracis-28423	243	27	indexes	index	NOUN
bracis-28423	243	28	for	for	ADP
bracis-28423	243	29	determining	determine	VERB
bracis-28423	243	30	the	the	DET
bracis-28423	243	31	number	number	NOUN
bracis-28423	243	32	of	of	ADP
bracis-28423	243	33	clusters	cluster	NOUN
bracis-28423	243	34	in	in	ADP
bracis-28423	243	35	binary	binary	ADJ
bracis-28423	243	36	data	datum	NOUN
bracis-28423	243	37	sets	set	NOUN
bracis-28423	243	38	.	.	PUNCT
bracis-28423	244	1	psychometrika	psychometrika	NOUN
bracis-28423	244	2	67(1	67(1	NOUN
bracis-28423	244	3	)	)	PUNCT
bracis-28423	244	4	,	,	PUNCT
bracis-28423	244	5	137–159	137–159	NUM
bracis-28423	244	6	(	(	PUNCT
bracis-28423	244	7	2002	2002	NUM
bracis-28423	244	8	)	)	PUNCT
bracis-28423	244	9	article	article	NOUN
bracis-28423	244	10	  	  	SPACE
bracis-28423	244	11	mathscinet	mathscinet	NOUN
bracis-28423	244	12	  	  	SPACE
bracis-28423	244	13	math	math	NOUN
bracis-28423	244	14	  	  	SPACE
bracis-28423	244	15	google	google	PROPN
bracis-28423	244	16	scholar	scholar	NOUN
bracis-28423	244	17	  	  	SPACE
bracis-28423	244	18	dorman	dorman	NOUN
bracis-28423	244	19	,	,	PUNCT
bracis-28423	244	20	k.s	k.s	PROPN
bracis-28423	244	21	.	.	PROPN
bracis-28423	244	22	,	,	PUNCT
bracis-28423	244	23	maitra	maitra	PROPN
bracis-28423	244	24	,	,	PUNCT
bracis-28423	244	25	r.	r.	PROPN
bracis-28423	244	26	:	:	PUNCT
bracis-28423	244	27	an	an	DET
bracis-28423	244	28	efficient	efficient	ADJ
bracis-28423	244	29	k	k	ADJ
bracis-28423	244	30	-	-	PUNCT
bracis-28423	244	31	modes	mode	VERB
bracis-28423	244	32	algorithm	algorithm	NOUN
bracis-28423	244	33	for	for	ADP
bracis-28423	244	34	clustering	cluster	VERB
bracis-28423	244	35	categorical	categorical	ADJ
bracis-28423	244	36	datasets	dataset	NOUN
bracis-28423	244	37	.	.	PUNCT
bracis-28423	245	1	stat	stat	PROPN
bracis-28423	245	2	.	.	PUNCT
bracis-28423	246	1	anal	anal	PROPN
bracis-28423	246	2	.	.	PUNCT
bracis-28423	247	1	data	data	PROPN
bracis-28423	247	2	mining	mining	PROPN
bracis-28423	247	3	asa	asa	PROPN
bracis-28423	247	4	data	data	PROPN
bracis-28423	247	5	sci	sci	PROPN
bracis-28423	247	6	.	.	PUNCT
bracis-28423	247	7	j.	j.	PROPN
bracis-28423	247	8	15(1	15(1	PROPN
bracis-28423	247	9	)	)	PUNCT
bracis-28423	247	10	,	,	PUNCT
bracis-28423	247	11	83–97	83–97	NUM
bracis-28423	247	12	(	(	PUNCT
bracis-28423	247	13	2022	2022	NUM
bracis-28423	247	14	)	)	PUNCT
bracis-28423	247	15	article	article	NOUN
bracis-28423	247	16	  	  	SPACE
bracis-28423	247	17	mathscinet	mathscinet	NOUN
bracis-28423	247	18	  	  	SPACE
bracis-28423	247	19	google	google	PROPN
bracis-28423	247	20	scholar	scholar	NOUN
bracis-28423	247	21	  	  	SPACE
bracis-28423	247	22	gao	gao	PROPN
bracis-28423	247	23	,	,	PUNCT
bracis-28423	247	24	x.	x.	PROPN
bracis-28423	247	25	,	,	PUNCT
bracis-28423	247	26	yang	yang	PROPN
bracis-28423	247	27	,	,	PUNCT
bracis-28423	247	28	m.	m.	NOUN
bracis-28423	247	29	:	:	PUNCT
bracis-28423	247	30	understanding	understanding	NOUN
bracis-28423	247	31	and	and	CCONJ
bracis-28423	247	32	enhancement	enhancement	NOUN
bracis-28423	247	33	of	of	ADP
bracis-28423	247	34	internal	internal	ADJ
bracis-28423	247	35	clustering	clustering	ADJ
bracis-28423	247	36	validation	validation	NOUN
bracis-28423	247	37	indexes	index	NOUN
bracis-28423	247	38	for	for	ADP
bracis-28423	247	39	categorical	categorical	ADJ
bracis-28423	247	40	data	datum	NOUN
bracis-28423	247	41	.	.	PUNCT
bracis-28423	248	1	algorithms	algorithms	PROPN
bracis-28423	248	2	11(11	11(11	NUM
bracis-28423	248	3	)	)	PUNCT
bracis-28423	248	4	,	,	PUNCT
bracis-28423	248	5	177	177	NUM
bracis-28423	248	6	(	(	PUNCT
bracis-28423	248	7	2018	2018	NUM
bracis-28423	248	8	)	)	PUNCT
bracis-28423	248	9	article	article	NOUN
bracis-28423	248	10	  	  	SPACE
bracis-28423	248	11	mathscinet	mathscinet	NOUN
bracis-28423	248	12	  	  	SPACE
bracis-28423	248	13	math	math	NOUN
bracis-28423	248	14	  	  	SPACE
bracis-28423	248	15	google	google	PROPN
bracis-28423	248	16	scholar	scholar	NOUN
bracis-28423	248	17	  	  	SPACE
bracis-28423	248	18	guha	guha	PROPN
bracis-28423	248	19	,	,	PUNCT
bracis-28423	248	20	s.	s.	PROPN
bracis-28423	248	21	,	,	PUNCT
bracis-28423	248	22	rastogi	rastogi	PROPN
bracis-28423	248	23	,	,	PUNCT
bracis-28423	248	24	r.	r.	PROPN
bracis-28423	248	25	,	,	PUNCT
bracis-28423	248	26	shim	shim	NOUN
bracis-28423	248	27	,	,	PUNCT
bracis-28423	248	28	k.	k.	NOUN
bracis-28423	248	29	:	:	PUNCT
bracis-28423	248	30	rock	rock	NOUN
bracis-28423	248	31	:	:	PUNCT
bracis-28423	248	32	a	a	DET
bracis-28423	248	33	robust	robust	ADJ
bracis-28423	248	34	clustering	clustering	ADJ
bracis-28423	248	35	algorithm	algorithm	NOUN
bracis-28423	248	36	for	for	ADP
bracis-28423	248	37	categorical	categorical	ADJ
bracis-28423	248	38	attributes	attribute	NOUN
bracis-28423	248	39	.	.	PUNCT
bracis-28423	249	1	inf	inf	PROPN
bracis-28423	249	2	.	.	PUNCT
bracis-28423	249	3	syst	syst	PROPN
bracis-28423	249	4	.	.	PUNCT
bracis-28423	250	1	25(5	25(5	NUM
bracis-28423	250	2	)	)	PUNCT
bracis-28423	250	3	,	,	PUNCT
bracis-28423	250	4	345–366	345–366	NUM
bracis-28423	250	5	(	(	PUNCT
bracis-28423	250	6	2000	2000	NUM
bracis-28423	250	7	)	)	PUNCT
bracis-28423	250	8	article	article	NOUN
bracis-28423	250	9	  	  	SPACE
bracis-28423	250	10	google	google	PROPN
bracis-28423	250	11	scholar	scholar	NOUN
bracis-28423	250	12	  	  	SPACE
bracis-28423	250	13	hubert	hubert	PROPN
bracis-28423	250	14	,	,	PUNCT
bracis-28423	250	15	l.	l.	PROPN
bracis-28423	250	16	,	,	PUNCT
bracis-28423	250	17	arabie	arabie	PROPN
bracis-28423	250	18	,	,	PUNCT
bracis-28423	250	19	p.	p.	NOUN
bracis-28423	250	20	:	:	PUNCT
bracis-28423	250	21	comparing	compare	VERB
bracis-28423	250	22	partitions	partition	NOUN
bracis-28423	250	23	.	.	PUNCT
bracis-28423	251	1	j.	j.	PROPN
bracis-28423	251	2	classif	classif	PROPN
bracis-28423	251	3	.	.	PROPN
bracis-28423	252	1	2	2	NUM
bracis-28423	252	2	,	,	PUNCT
bracis-28423	252	3	193–218	193–218	NUM
bracis-28423	252	4	(	(	PUNCT
bracis-28423	252	5	1985	1985	NUM
bracis-28423	252	6	)	)	PUNCT
bracis-28423	252	7	article	article	NOUN
bracis-28423	252	8	  	  	SPACE
bracis-28423	252	9	math	math	NOUN
bracis-28423	252	10	  	  	SPACE
bracis-28423	252	11	google	google	PROPN
bracis-28423	252	12	scholar	scholar	PROPN
bracis-28423	252	13	  	  	SPACE
bracis-28423	252	14	inc	inc	PROPN
bracis-28423	252	15	.	.	PROPN
bracis-28423	252	16	,	,	PUNCT
bracis-28423	252	17	t.m	t.m	PROPN
bracis-28423	252	18	.	.	PROPN
bracis-28423	252	19	:	:	PUNCT
bracis-28423	252	20	matlab	matlab	PROPN
bracis-28423	252	21	version	version	NOUN
bracis-28423	252	22	:	:	PUNCT
bracis-28423	252	23	9.13.0	9.13.0	NUM
bracis-28423	252	24	(	(	PUNCT
bracis-28423	252	25	r2022b	r2022b	NOUN
bracis-28423	252	26	)	)	PUNCT
bracis-28423	252	27	(	(	PUNCT
bracis-28423	252	28	2022	2022	NUM
bracis-28423	252	29	)	)	PUNCT
bracis-28423	252	30	.	.	PUNCT
bracis-28423	252	31	https://www.mathworks.com	https://www.mathworks.com	X
bracis-28423	253	1	jain	jain	PROPN
bracis-28423	253	2	,	,	PUNCT
bracis-28423	253	3	a.k	a.k	PROPN
bracis-28423	253	4	.	.	PROPN
bracis-28423	253	5	,	,	PUNCT
bracis-28423	253	6	murty	murty	PROPN
bracis-28423	253	7	,	,	PUNCT
bracis-28423	253	8	m.n	m.n	PROPN
bracis-28423	253	9	.	.	PROPN
bracis-28423	253	10	,	,	PUNCT
bracis-28423	253	11	flynn	flynn	PROPN
bracis-28423	253	12	,	,	PUNCT
bracis-28423	253	13	p.j	p.j	PROPN
bracis-28423	253	14	.	.	PROPN
bracis-28423	253	15	:	:	PUNCT
bracis-28423	254	1	data	datum	NOUN
bracis-28423	254	2	clustering	cluster	VERB
bracis-28423	254	3	:	:	PUNCT
bracis-28423	254	4	a	a	DET
bracis-28423	254	5	review	review	NOUN
bracis-28423	254	6	.	.	PUNCT
bracis-28423	255	1	acm	acm	PROPN
bracis-28423	255	2	comput	comput	NOUN
bracis-28423	255	3	.	.	PUNCT
bracis-28423	256	1	surv	surv	NOUN
bracis-28423	256	2	.	.	PUNCT
bracis-28423	257	1	(	(	PUNCT
bracis-28423	257	2	csur	csur	NOUN
bracis-28423	257	3	)	)	PUNCT
bracis-28423	257	4	31(3	31(3	NUM
bracis-28423	257	5	)	)	PUNCT
bracis-28423	257	6	,	,	PUNCT
bracis-28423	257	7	264–323	264–323	NUM
bracis-28423	257	8	(	(	PUNCT
bracis-28423	257	9	1999	1999	NUM
bracis-28423	257	10	)	)	PUNCT
bracis-28423	257	11	article	article	NOUN
bracis-28423	257	12	  	  	SPACE
bracis-28423	257	13	google	google	PROPN
bracis-28423	257	14	scholar	scholar	NOUN
bracis-28423	257	15	  	  	SPACE
bracis-28423	257	16	liu	liu	PROPN
bracis-28423	257	17	,	,	PUNCT
bracis-28423	257	18	y.	y.	PROPN
bracis-28423	257	19	,	,	PUNCT
bracis-28423	257	20	li	li	PROPN
bracis-28423	257	21	,	,	PUNCT
bracis-28423	257	22	z.	z.	PROPN
bracis-28423	257	23	,	,	PUNCT
bracis-28423	257	24	xiong	xiong	PROPN
bracis-28423	257	25	,	,	PUNCT
bracis-28423	257	26	h.	h.	PROPN
bracis-28423	257	27	,	,	PUNCT
bracis-28423	257	28	gao	gao	PROPN
bracis-28423	257	29	,	,	PUNCT
bracis-28423	257	30	x.	x.	PROPN
bracis-28423	257	31	,	,	PUNCT
bracis-28423	257	32	wu	wu	PROPN
bracis-28423	257	33	,	,	PUNCT
bracis-28423	257	34	j.	j.	PROPN
bracis-28423	257	35	:	:	PUNCT
bracis-28423	257	36	understanding	understanding	NOUN
bracis-28423	257	37	of	of	ADP
bracis-28423	257	38	internal	internal	ADJ
bracis-28423	257	39	clustering	clustering	ADJ
bracis-28423	257	40	validation	validation	NOUN
bracis-28423	257	41	measures	measure	NOUN
bracis-28423	257	42	.	.	PUNCT
bracis-28423	258	1	in	in	ADP
bracis-28423	258	2	:	:	PUNCT
bracis-28423	258	3	2010	2010	NUM
bracis-28423	258	4	ieee	ieee	PROPN
bracis-28423	258	5	international	international	ADJ
bracis-28423	258	6	conference	conference	NOUN
bracis-28423	258	7	on	on	ADP
bracis-28423	258	8	data	datum	NOUN
bracis-28423	258	9	mining	mining	NOUN
bracis-28423	258	10	,	,	PUNCT
bracis-28423	258	11	pp	pp	ADJ
bracis-28423	258	12	.	.	PUNCT
bracis-28423	259	1	911–916	911–916	NUM
bracis-28423	259	2	.	.	PUNCT
bracis-28423	260	1	ieee	ieee	NOUN
bracis-28423	260	2	(	(	PUNCT
bracis-28423	260	3	2010	2010	NUM
bracis-28423	260	4	)	)	PUNCT
bracis-28423	260	5	google	google	PROPN
bracis-28423	260	6	scholar	scholar	NOUN
bracis-28423	260	7	  	  	SPACE
bracis-28423	260	8	mann	mann	PROPN
bracis-28423	260	9	,	,	PUNCT
bracis-28423	260	10	h.b	h.b	PROPN
bracis-28423	260	11	.	.	PROPN
bracis-28423	260	12	,	,	PUNCT
bracis-28423	260	13	whitney	whitney	PROPN
bracis-28423	260	14	,	,	PUNCT
bracis-28423	260	15	d.r	d.r	PROPN
bracis-28423	260	16	.	.	PROPN
bracis-28423	260	17	:	:	PUNCT
bracis-28423	260	18	on	on	ADP
bracis-28423	260	19	a	a	DET
bracis-28423	260	20	test	test	NOUN
bracis-28423	260	21	of	of	ADP
bracis-28423	260	22	whether	whether	SCONJ
bracis-28423	260	23	one	one	NUM
bracis-28423	260	24	of	of	ADP
bracis-28423	260	25	two	two	NUM
bracis-28423	260	26	random	random	ADJ
bracis-28423	260	27	variables	variable	NOUN
bracis-28423	260	28	is	be	AUX
bracis-28423	260	29	stochastically	stochastically	ADV
bracis-28423	260	30	larger	large	ADJ
bracis-28423	260	31	than	than	ADP
bracis-28423	260	32	the	the	DET
bracis-28423	260	33	other	other	ADJ
bracis-28423	260	34	.	.	PUNCT
bracis-28423	261	1	ann	ann	PROPN
bracis-28423	261	2	.	.	PUNCT
bracis-28423	261	3	math	math	PROPN
bracis-28423	261	4	.	.	PUNCT
bracis-28423	262	1	stat	stat	PROPN
bracis-28423	262	2	.	.	PUNCT
bracis-28423	262	3	,	,	PUNCT
bracis-28423	262	4	50–60	50–60	PROPN
bracis-28423	262	5	(	(	PUNCT
bracis-28423	262	6	1947	1947	NUM
bracis-28423	262	7	)	)	PUNCT
bracis-28423	262	8	google	google	PROPN
bracis-28423	262	9	scholar	scholar	NOUN
bracis-28423	262	10	  	  	SPACE
bracis-28423	262	11	pedregosa	pedregosa	PROPN
bracis-28423	262	12	,	,	PUNCT
bracis-28423	262	13	f.	f.	PROPN
bracis-28423	262	14	,	,	PUNCT
bracis-28423	262	15	et	et	PROPN
bracis-28423	262	16	al	al	PROPN
bracis-28423	262	17	.	.	PROPN
bracis-28423	262	18	:	:	PUNCT
bracis-28423	263	1	scikit	scikit	NOUN
bracis-28423	263	2	-	-	PUNCT
bracis-28423	263	3	learn	learn	VERB
bracis-28423	263	4	:	:	PUNCT
bracis-28423	263	5	machine	machine	NOUN
bracis-28423	263	6	learning	learning	NOUN
bracis-28423	263	7	in	in	ADP
bracis-28423	263	8	python	python	PROPN
bracis-28423	263	9	.	.	PUNCT
bracis-28423	264	1	j.	j.	PROPN
bracis-28423	264	2	mach	mach	PROPN
bracis-28423	264	3	.	.	PUNCT
bracis-28423	265	1	learn	learn	VERB
bracis-28423	265	2	.	.	PUNCT
bracis-28423	266	1	res	re	NOUN
bracis-28423	266	2	.	.	PROPN
bracis-28423	267	1	12	12	NUM
bracis-28423	267	2	,	,	PUNCT
bracis-28423	267	3	2825–2830	2825–2830	NUM
bracis-28423	267	4	(	(	PUNCT
bracis-28423	267	5	2011	2011	NUM
bracis-28423	267	6	)	)	PUNCT
bracis-28423	267	7	mathscinet	mathscinet	NOUN
bracis-28423	267	8	  	  	SPACE
bracis-28423	267	9	math	math	NOUN
bracis-28423	267	10	  	  	SPACE
bracis-28423	267	11	google	google	PROPN
bracis-28423	267	12	scholar	scholar	NOUN
bracis-28423	267	13	  	  	SPACE
bracis-28423	267	14	r	r	NOUN
bracis-28423	267	15	core	core	NOUN
bracis-28423	267	16	team	team	NOUN
bracis-28423	267	17	:	:	PUNCT
bracis-28423	268	1	r	r	NOUN
bracis-28423	268	2	:	:	PUNCT
bracis-28423	268	3	a	a	DET
bracis-28423	268	4	language	language	NOUN
bracis-28423	268	5	and	and	CCONJ
bracis-28423	268	6	environment	environment	NOUN
bracis-28423	268	7	for	for	ADP
bracis-28423	268	8	statistical	statistical	ADJ
bracis-28423	268	9	computing	computing	NOUN
bracis-28423	268	10	(	(	PUNCT
bracis-28423	268	11	2021	2021	NUM
bracis-28423	268	12	)	)	PUNCT
bracis-28423	268	13	.	.	PUNCT
bracis-28423	269	1	https://www.r-project.org/	https://www.r-project.org/	PROPN
bracis-28423	269	2	rojas	rojas	PROPN
bracis-28423	269	3	-	-	PUNCT
bracis-28423	269	4	thomas	thomas	PROPN
bracis-28423	269	5	,	,	PUNCT
bracis-28423	269	6	j.c	j.c	PROPN
bracis-28423	269	7	.	.	PROPN
bracis-28423	269	8	,	,	PUNCT
bracis-28423	269	9	santos	santos	PROPN
bracis-28423	269	10	,	,	PUNCT
bracis-28423	269	11	m.	m.	NOUN
bracis-28423	269	12	:	:	PUNCT
bracis-28423	269	13	new	new	ADJ
bracis-28423	269	14	internal	internal	ADJ
bracis-28423	269	15	clustering	clustering	ADJ
bracis-28423	269	16	validation	validation	NOUN
bracis-28423	269	17	measure	measure	NOUN
bracis-28423	269	18	for	for	ADP
bracis-28423	269	19	contiguous	contiguous	ADJ
bracis-28423	269	20	arbitrary	arbitrary	ADJ
bracis-28423	269	21	-	-	PUNCT
bracis-28423	269	22	shape	shape	NOUN
bracis-28423	269	23	clusters	cluster	NOUN
bracis-28423	269	24	.	.	PUNCT
bracis-28423	270	1	int	int	NOUN
bracis-28423	270	2	.	.	PUNCT
bracis-28423	271	1	j.	j.	PROPN
bracis-28423	271	2	intell	intell	PROPN
bracis-28423	271	3	.	.	PUNCT
bracis-28423	272	1	syst	syst	PROPN
bracis-28423	272	2	.	.	PUNCT
bracis-28423	273	1	36(10	36(10	NUM
bracis-28423	273	2	)	)	PUNCT
bracis-28423	273	3	,	,	PUNCT
bracis-28423	273	4	5506–5529	5506–5529	NUM
bracis-28423	273	5	(	(	PUNCT
bracis-28423	273	6	2021	2021	NUM
bracis-28423	273	7	)	)	PUNCT
bracis-28423	273	8	article	article	NOUN
bracis-28423	273	9	  	  	SPACE
bracis-28423	273	10	google	google	PROPN
bracis-28423	273	11	scholar	scholar	NOUN
bracis-28423	273	12	  	  	SPACE
bracis-28423	273	13	rousseeuw	rousseeuw	NOUN
bracis-28423	273	14	,	,	PUNCT
bracis-28423	273	15	p.j	p.j	PROPN
bracis-28423	273	16	.	.	PROPN
bracis-28423	273	17	:	:	PUNCT
bracis-28423	274	1	silhouettes	silhouette	NOUN
bracis-28423	274	2	:	:	PUNCT
bracis-28423	274	3	a	a	DET
bracis-28423	274	4	graphical	graphical	ADJ
bracis-28423	274	5	aid	aid	NOUN
bracis-28423	274	6	to	to	ADP
bracis-28423	274	7	the	the	DET
bracis-28423	274	8	interpretation	interpretation	NOUN
bracis-28423	274	9	and	and	CCONJ
bracis-28423	274	10	validation	validation	NOUN
bracis-28423	274	11	of	of	ADP
bracis-28423	274	12	cluster	cluster	NOUN
bracis-28423	274	13	analysis	analysis	NOUN
bracis-28423	274	14	.	.	PUNCT
bracis-28423	275	1	j.	j.	PROPN
bracis-28423	275	2	comput	comput	PROPN
bracis-28423	275	3	.	.	PUNCT
bracis-28423	276	1	appl	appl	PROPN
bracis-28423	276	2	.	.	PROPN
bracis-28423	276	3	math	math	NOUN
bracis-28423	276	4	.	.	PUNCT
bracis-28423	277	1	20	20	NUM
bracis-28423	277	2	,	,	PUNCT
bracis-28423	277	3	53–65	53–65	NUM
bracis-28423	277	4	(	(	PUNCT
bracis-28423	277	5	1987	1987	NUM
bracis-28423	277	6	)	)	PUNCT
bracis-28423	277	7	article	article	NOUN
bracis-28423	277	8	  	  	SPACE
bracis-28423	277	9	math	math	NOUN
bracis-28423	277	10	  	  	SPACE
bracis-28423	277	11	google	google	PROPN
bracis-28423	277	12	scholar	scholar	NOUN
bracis-28423	277	13	  	  	SPACE
bracis-28423	277	14	saha	saha	PROPN
bracis-28423	277	15	,	,	PUNCT
bracis-28423	277	16	j.	j.	PROPN
bracis-28423	277	17	,	,	PUNCT
bracis-28423	277	18	mukherjee	mukherjee	PROPN
bracis-28423	277	19	,	,	PUNCT
bracis-28423	277	20	j.	j.	PROPN
bracis-28423	277	21	:	:	PUNCT
bracis-28423	277	22	cnak	cnak	NOUN
bracis-28423	277	23	:	:	PUNCT
bracis-28423	277	24	cluster	cluster	NOUN
bracis-28423	277	25	number	number	NOUN
bracis-28423	277	26	assisted	assist	VERB
bracis-28423	277	27	k	k	NOUN
bracis-28423	277	28	-	-	PUNCT
bracis-28423	277	29	means	mean	NOUN
bracis-28423	277	30	.	.	PUNCT
bracis-28423	278	1	pattern	pattern	NOUN
bracis-28423	278	2	recogn	recogn	VERB
bracis-28423	278	3	.	.	PUNCT
bracis-28423	279	1	110	110	NUM
bracis-28423	279	2	,	,	PUNCT
bracis-28423	279	3	107625	107625	NUM
bracis-28423	279	4	(	(	PUNCT
bracis-28423	279	5	2021	2021	NUM
bracis-28423	279	6	)	)	PUNCT
bracis-28423	279	7	article	article	NOUN
bracis-28423	279	8	  	  	SPACE
bracis-28423	279	9	google	google	PROPN
bracis-28423	279	10	scholar	scholar	NOUN
bracis-28423	279	11	  	  	SPACE
bracis-28423	279	12	ünlü	ünlü	NOUN
bracis-28423	279	13	,	,	PUNCT
bracis-28423	279	14	r.	r.	PROPN
bracis-28423	279	15	,	,	PUNCT
bracis-28423	279	16	xanthopoulos	xanthopoulos	PROPN
bracis-28423	279	17	,	,	PUNCT
bracis-28423	279	18	p.	p.	NOUN
bracis-28423	279	19	:	:	PUNCT
bracis-28423	279	20	estimating	estimate	VERB
bracis-28423	279	21	the	the	DET
bracis-28423	279	22	number	number	NOUN
bracis-28423	279	23	of	of	ADP
bracis-28423	279	24	clusters	cluster	NOUN
bracis-28423	279	25	in	in	ADP
bracis-28423	279	26	a	a	DET
bracis-28423	279	27	dataset	dataset	NOUN
bracis-28423	279	28	via	via	ADP
bracis-28423	279	29	consensus	consensus	NOUN
bracis-28423	279	30	clustering	clustering	NOUN
bracis-28423	279	31	.	.	PUNCT
bracis-28423	280	1	expert	expert	NOUN
bracis-28423	280	2	syst	syst	PROPN
bracis-28423	280	3	.	.	PUNCT
bracis-28423	281	1	appl	appl	PROPN
bracis-28423	281	2	.	.	PROPN
bracis-28423	282	1	125	125	NUM
bracis-28423	282	2	,	,	PUNCT
bracis-28423	282	3	33–39	33–39	NUM
bracis-28423	282	4	(	(	PUNCT
bracis-28423	282	5	2019	2019	NUM
bracis-28423	282	6	)	)	PUNCT
bracis-28423	282	7	article	article	NOUN
bracis-28423	282	8	  	  	SPACE
bracis-28423	282	9	google	google	PROPN
bracis-28423	282	10	scholar	scholar	NOUN
bracis-28423	282	11	  	  	SPACE
bracis-28423	282	12	vinh	vinh	PROPN
bracis-28423	282	13	,	,	PUNCT
bracis-28423	282	14	n.x	n.x	PROPN
bracis-28423	282	15	.	.	PROPN
bracis-28423	282	16	,	,	PUNCT
bracis-28423	282	17	epps	epps	PROPN
bracis-28423	282	18	,	,	PUNCT
bracis-28423	282	19	j.	j.	PROPN
bracis-28423	282	20	:	:	PUNCT
bracis-28423	282	21	a	a	DET
bracis-28423	282	22	novel	novel	ADJ
bracis-28423	282	23	approach	approach	NOUN
bracis-28423	282	24	for	for	ADP
bracis-28423	282	25	automatic	automatic	ADJ
bracis-28423	282	26	number	number	NOUN
bracis-28423	282	27	of	of	ADP
bracis-28423	282	28	clusters	cluster	NOUN
bracis-28423	282	29	detection	detection	NOUN
bracis-28423	282	30	in	in	ADP
bracis-28423	282	31	microarray	microarray	NOUN
bracis-28423	282	32	data	datum	NOUN
bracis-28423	282	33	based	base	VERB
bracis-28423	282	34	on	on	ADP
bracis-28423	282	35	consensus	consensus	NOUN
bracis-28423	282	36	clustering	clustering	NOUN
bracis-28423	282	37	.	.	PUNCT
bracis-28423	283	1	in	in	ADP
bracis-28423	283	2	:	:	PUNCT
bracis-28423	283	3	2009	2009	NUM
bracis-28423	283	4	ninth	ninth	ADJ
bracis-28423	283	5	ieee	ieee	PROPN
bracis-28423	283	6	international	international	PROPN
bracis-28423	283	7	conference	conference	NOUN
bracis-28423	283	8	on	on	ADP
bracis-28423	283	9	bioinformatics	bioinformatics	NOUN
bracis-28423	283	10	and	and	CCONJ
bracis-28423	283	11	bioengineering	bioengineering	NOUN
bracis-28423	283	12	,	,	PUNCT
bracis-28423	283	13	pp	pp	ADJ
bracis-28423	283	14	.	.	PUNCT
bracis-28423	284	1	84–91	84–91	NUM
bracis-28423	284	2	.	.	PUNCT
bracis-28423	285	1	ieee	ieee	NOUN
bracis-28423	285	2	(	(	PUNCT
bracis-28423	285	3	2009	2009	NUM
bracis-28423	285	4	)	)	PUNCT
bracis-28423	285	5	google	google	PROPN
bracis-28423	285	6	scholar	scholar	NOUN
bracis-28423	285	7	  	  	SPACE
bracis-28423	285	8	witten	witten	PROPN
bracis-28423	285	9	,	,	PUNCT
bracis-28423	285	10	i.h	i.h	PROPN
bracis-28423	285	11	.	.	PROPN
bracis-28423	285	12	,	,	PUNCT
bracis-28423	285	13	frank	frank	PROPN
bracis-28423	285	14	,	,	PUNCT
bracis-28423	285	15	e.	e.	PROPN
bracis-28423	285	16	,	,	PUNCT
bracis-28423	285	17	hall	hall	PROPN
bracis-28423	285	18	,	,	PUNCT
bracis-28423	285	19	m.a	m.a	PROPN
bracis-28423	285	20	.	.	PROPN
bracis-28423	285	21	,	,	PUNCT
bracis-28423	285	22	pal	pal	NOUN
bracis-28423	285	23	,	,	PUNCT
bracis-28423	285	24	c.	c.	NOUN
bracis-28423	285	25	:	:	PUNCT
bracis-28423	285	26	data	data	PROPN
bracis-28423	285	27	mining	mining	NOUN
bracis-28423	285	28	:	:	PUNCT
bracis-28423	285	29	practical	practical	ADJ
bracis-28423	285	30	machine	machine	NOUN
bracis-28423	285	31	learning	learning	NOUN
bracis-28423	285	32	tools	tool	NOUN
bracis-28423	285	33	and	and	CCONJ
bracis-28423	285	34	techniques	technique	NOUN
bracis-28423	285	35	.	.	PUNCT
bracis-28423	286	1	morgan	morgan	PROPN
bracis-28423	286	2	kaufmann	kaufmann	PROPN
bracis-28423	286	3	,	,	PUNCT
bracis-28423	286	4	burlington	burlington	PROPN
bracis-28423	286	5	(	(	PUNCT
bracis-28423	286	6	2016	2016	NUM
bracis-28423	286	7	)	)	PUNCT
bracis-28423	286	8	google	google	PROPN
bracis-28423	286	9	scholar	scholar	NOUN
bracis-28423	286	10	  	  	SPACE
bracis-28423	286	11	download	download	NOUN
bracis-28423	286	12	references	reference	NOUN
bracis-28423	286	13	author	author	NOUN
bracis-28423	286	14	information	information	NOUN
bracis-28423	286	15	authors	author	NOUN
bracis-28423	286	16	and	and	CCONJ
bracis-28423	286	17	affiliations	affiliation	NOUN
bracis-28423	286	18	aeronautics	aeronautics	PROPN
bracis-28423	286	19	institute	institute	PROPN
bracis-28423	286	20	of	of	ADP
bracis-28423	286	21	technology	technology	PROPN
bracis-28423	286	22	,	,	PUNCT
bracis-28423	286	23	sao	sao	PROPN
bracis-28423	286	24	jose	jose	PROPN
bracis-28423	286	25	dos	dos	PROPN
bracis-28423	286	26	campos	campos	PROPN
bracis-28423	286	27	,	,	PUNCT
bracis-28423	286	28	sp	sp	PROPN
bracis-28423	286	29	,	,	PUNCT
bracis-28423	286	30	brazil	brazil	PROPN
bracis-28423	286	31	roberto	roberto	PROPN
bracis-28423	286	32	douglas	douglas	PROPN
bracis-28423	286	33	guimarães	guimarães	PROPN
bracis-28423	286	34	de	de	PROPN
bracis-28423	286	35	aquino	aquino	PROPN
bracis-28423	286	36	,	,	PUNCT
bracis-28423	286	37	 	 	SPACE
bracis-28423	286	38	vitor	vitor	PROPN
bracis-28423	286	39	venceslau	venceslau	PROPN
bracis-28423	286	40	curtis	curtis	PROPN
bracis-28423	286	41	 	 	SPACE
bracis-28423	286	42	&	&	CCONJ
bracis-28423	286	43	 	 	SPACE
bracis-28423	286	44	filipe	filipe	PROPN
bracis-28423	286	45	alves	alves	PROPN
bracis-28423	286	46	neto	neto	PROPN
bracis-28423	286	47	verri	verri	PROPN
bracis-28423	286	48	federal	federal	PROPN
bracis-28423	286	49	university	university	PROPN
bracis-28423	286	50	of	of	ADP
bracis-28423	286	51	sao	sao	PROPN
bracis-28423	286	52	paulo	paulo	PROPN
bracis-28423	286	53	,	,	PUNCT
bracis-28423	286	54	sao	sao	PROPN
bracis-28423	286	55	jose	jose	PROPN
bracis-28423	286	56	dos	dos	PROPN
bracis-28423	286	57	campos	campos	PROPN
bracis-28423	286	58	,	,	PUNCT
bracis-28423	286	59	sp	sp	PROPN
bracis-28423	286	60	,	,	PUNCT
bracis-28423	286	61	brazil	brazil	PROPN
bracis-28423	286	62	roberto	roberto	PROPN
bracis-28423	286	63	douglas	douglas	PROPN
bracis-28423	286	64	guimarães	guimarães	PROPN
bracis-28423	286	65	de	de	PROPN
bracis-28423	286	66	aquino	aquino	PROPN
bracis-28423	286	67	authors	author	NOUN
bracis-28423	286	68	roberto	roberto	VERB
bracis-28423	286	69	douglas	douglas	PROPN
bracis-28423	286	70	guimarães	guimarães	PROPN
bracis-28423	286	71	de	de	PROPN
bracis-28423	286	72	aquinoview	aquinoview	PROPN
bracis-28423	286	73	author	author	NOUN
bracis-28423	286	74	publications	publication	NOUN
bracis-28423	286	75	search	search	NOUN
bracis-28423	286	76	author	author	NOUN
bracis-28423	286	77	on	on	ADP
bracis-28423	286	78	:	:	PUNCT
bracis-28423	286	79	pubmed	pubmed	PROPN
bracis-28423	286	80	 	 	SPACE
bracis-28423	286	81	google	google	PROPN
bracis-28423	286	82	scholar	scholar	PROPN
bracis-28423	286	83	vitor	vitor	PROPN
bracis-28423	286	84	venceslau	venceslau	PROPN
bracis-28423	286	85	curtisview	curtisview	VERB
bracis-28423	286	86	author	author	NOUN
bracis-28423	286	87	publications	publication	NOUN
bracis-28423	286	88	search	search	NOUN
bracis-28423	286	89	author	author	NOUN
bracis-28423	286	90	on	on	ADP
bracis-28423	286	91	:	:	PUNCT
bracis-28423	286	92	pubmed	pubmed	PROPN
bracis-28423	286	93	 	 	SPACE
bracis-28423	286	94	google	google	PROPN
bracis-28423	286	95	scholar	scholar	PROPN
bracis-28423	286	96	filipe	filipe	PROPN
bracis-28423	286	97	alves	alves	PROPN
bracis-28423	286	98	neto	neto	PROPN
bracis-28423	286	99	verriview	verriview	NOUN
bracis-28423	286	100	author	author	NOUN
bracis-28423	286	101	publications	publication	NOUN
bracis-28423	286	102	search	search	NOUN
bracis-28423	286	103	author	author	NOUN
bracis-28423	286	104	on	on	ADP
bracis-28423	286	105	:	:	PUNCT
bracis-28423	286	106	pubmed	pubmed	PROPN
bracis-28423	286	107	 	 	SPACE
bracis-28423	286	108	google	google	PROPN
bracis-28423	286	109	scholar	scholar	NOUN
bracis-28423	286	110	corresponding	correspond	VERB
bracis-28423	286	111	author	author	NOUN
bracis-28423	286	112	correspondence	correspondence	NOUN
bracis-28423	286	113	to	to	ADP
bracis-28423	286	114	roberto	roberto	PROPN
bracis-28423	286	115	douglas	douglas	PROPN
bracis-28423	286	116	guimarães	guimarães	PROPN
bracis-28423	286	117	de	de	PROPN
bracis-28423	286	118	aquino	aquino	PROPN
bracis-28423	286	119	.	.	PUNCT
bracis-28423	287	1	editor	editor	NOUN
bracis-28423	287	2	information	information	NOUN
bracis-28423	287	3	editors	editor	NOUN
bracis-28423	287	4	and	and	CCONJ
bracis-28423	287	5	affiliations	affiliation	NOUN
bracis-28423	287	6	federal	federal	PROPN
bracis-28423	287	7	university	university	PROPN
bracis-28423	287	8	of	of	ADP
bracis-28423	287	9	são	são	PROPN
bracis-28423	287	10	carlos	carlos	PROPN
bracis-28423	287	11	,	,	PUNCT
bracis-28423	287	12	são	são	PROPN
bracis-28423	287	13	carlos	carlos	PROPN
bracis-28423	287	14	,	,	PUNCT
bracis-28423	287	15	brazil	brazil	PROPN
bracis-28423	287	16	murilo	murilo	PROPN
bracis-28423	287	17	c.	c.	PROPN
bracis-28423	287	18	naldi	naldi	PROPN
bracis-28423	287	19	centro	centro	PROPN
bracis-28423	287	20	universitario	universitario	PROPN
bracis-28423	287	21	da	da	PROPN
bracis-28423	287	22	fei	fei	PROPN
bracis-28423	287	23	,	,	PUNCT
bracis-28423	287	24	são	são	PROPN
bracis-28423	287	25	bernardo	bernardo	PROPN
bracis-28423	287	26	do	do	AUX
bracis-28423	287	27	campo	campo	PROPN
bracis-28423	287	28	,	,	PUNCT
bracis-28423	287	29	brazil	brazil	PROPN
bracis-28423	287	30	reinaldo	reinaldo	PROPN
bracis-28423	287	31	a.	a.	PROPN
bracis-28423	287	32	c.	c.	PROPN
bracis-28423	287	33	bianchi	bianchi	PROPN
bracis-28423	287	34	rights	right	NOUN
bracis-28423	287	35	and	and	CCONJ
bracis-28423	287	36	permissions	permission	NOUN
bracis-28423	287	37	reprints	reprint	NOUN
bracis-28423	287	38	and	and	CCONJ
bracis-28423	287	39	permissions	permission	VERB
bracis-28423	287	40	copyright	copyright	NOUN
bracis-28423	287	41	information	information	NOUN
bracis-28423	287	42	©	©	ADP
bracis-28423	287	43	2023	2023	NUM
bracis-28423	287	44	the	the	DET
bracis-28423	287	45	author(s	author(s	NOUN
bracis-28423	287	46	)	)	PUNCT
bracis-28423	287	47	,	,	PUNCT
bracis-28423	287	48	under	under	ADP
bracis-28423	287	49	exclusive	exclusive	ADJ
bracis-28423	287	50	license	license	NOUN
bracis-28423	287	51	to	to	ADP
bracis-28423	287	52	springer	springer	NOUN
bracis-28423	287	53	nature	nature	PROPN
bracis-28423	287	54	switzerland	switzerland	PROPN
bracis-28423	287	55	ag	ag	PROPN
bracis-28423	287	56	about	about	ADP
bracis-28423	287	57	this	this	DET
bracis-28423	287	58	paper	paper	NOUN
bracis-28423	287	59	cite	cite	VERB
bracis-28423	287	60	this	this	DET
bracis-28423	287	61	paper	paper	NOUN
bracis-28423	287	62	de	de	X
bracis-28423	287	63	aquino	aquino	PROPN
bracis-28423	287	64	,	,	PUNCT
bracis-28423	287	65	r.d.g	r.d.g	NOUN
bracis-28423	287	66	.	.	PROPN
bracis-28423	287	67	,	,	PUNCT
bracis-28423	287	68	curtis	curtis	PROPN
bracis-28423	287	69	,	,	PUNCT
bracis-28423	287	70	v.v	v.v	PROPN
bracis-28423	287	71	.	.	PROPN
bracis-28423	287	72	,	,	PUNCT
bracis-28423	287	73	verri	verri	NOUN
bracis-28423	287	74	,	,	PUNCT
bracis-28423	287	75	f.a.n	f.a.n	ADJ
bracis-28423	287	76	.	.	PUNCT
bracis-28423	287	77	(	(	PUNCT
bracis-28423	287	78	2023	2023	NUM
bracis-28423	287	79	)	)	PUNCT
bracis-28423	287	80	.	.	PUNCT
bracis-28423	288	1	a	a	DET
bracis-28423	288	2	clustering	clustering	ADJ
bracis-28423	288	3	validation	validation	NOUN
bracis-28423	288	4	index	index	NOUN
bracis-28423	288	5	based	base	VERB
bracis-28423	288	6	on	on	ADP
bracis-28423	288	7	 	 	SPACE
bracis-28423	288	8	semantic	semantic	ADJ
bracis-28423	288	9	description	description	NOUN
bracis-28423	288	10	.	.	PUNCT
bracis-28423	289	1	in	in	ADP
bracis-28423	289	2	:	:	PUNCT
bracis-28423	289	3	naldi	naldi	PROPN
bracis-28423	289	4	,	,	PUNCT
bracis-28423	289	5	m.c	m.c	PROPN
bracis-28423	289	6	.	.	PROPN
bracis-28423	289	7	,	,	PUNCT
bracis-28423	289	8	bianchi	bianchi	PROPN
bracis-28423	289	9	,	,	PUNCT
bracis-28423	289	10	r.a.c	r.a.c	ADP
bracis-28423	289	11	.	.	PUNCT
bracis-28423	289	12	(	(	PUNCT
bracis-28423	289	13	eds	ed	NOUN
bracis-28423	289	14	)	)	PUNCT
bracis-28423	289	15	intelligent	intelligent	ADJ
bracis-28423	289	16	systems	system	NOUN
bracis-28423	289	17	.	.	PUNCT
bracis-28423	290	1	bracis	bracis	PROPN
bracis-28423	290	2	2023	2023	NUM
bracis-28423	290	3	.	.	PUNCT
bracis-28423	291	1	lecture	lecture	NOUN
bracis-28423	291	2	notes	note	NOUN
bracis-28423	291	3	in	in	ADP
bracis-28423	291	4	computer	computer	NOUN
bracis-28423	291	5	science	science	NOUN
bracis-28423	291	6	(	(	PUNCT
bracis-28423	291	7	)	)	PUNCT
bracis-28423	291	8	,	,	PUNCT
bracis-28423	291	9	vol	vol	NOUN
bracis-28423	291	10	14197	14197	NUM
bracis-28423	291	11	.	.	PUNCT
bracis-28423	292	1	springer	springer	NOUN
bracis-28423	292	2	,	,	PUNCT
bracis-28423	292	3	cham	cham	PROPN
bracis-28423	292	4	.	.	PUNCT
bracis-28423	293	1	https://doi.org/10.1007/978-3-031-45392-2_21	https://doi.org/10.1007/978-3-031-45392-2_21	PROPN
bracis-28423	293	2	download	download	NOUN
bracis-28423	293	3	citation	citation	NOUN
bracis-28423	293	4	.ris	.ris	PUNCT
bracis-28423	293	5	.enw	.enw	PROPN
bracis-28423	293	6	.bib	.bib	PUNCT
bracis-28423	294	1	doi	doi	PROPN
bracis-28423	294	2	:	:	PUNCT
bracis-28423	294	3	https://doi.org/10.1007/978-3-031-45392-2_21	https://doi.org/10.1007/978-3-031-45392-2_21	PROPN
bracis-28423	294	4	published	publish	VERB
bracis-28423	294	5	:	:	PUNCT
bracis-28423	294	6	12	12	NUM
bracis-28423	294	7	october	october	PROPN
bracis-28423	294	8	2023	2023	NUM
bracis-28423	294	9	publisher	publisher	NOUN
bracis-28423	294	10	name	name	NOUN
bracis-28423	294	11	:	:	PUNCT
bracis-28423	294	12	springer	springer	NOUN
bracis-28423	294	13	,	,	PUNCT
bracis-28423	294	14	cham	cham	PROPN
bracis-28423	294	15	print	print	PROPN
bracis-28423	294	16	isbn	isbn	PROPN
bracis-28423	294	17	:	:	PUNCT
bracis-28423	294	18	978	978	NUM
bracis-28423	294	19	-	-	SYM
bracis-28423	294	20	3	3	NUM
bracis-28423	294	21	-	-	PUNCT
bracis-28423	294	22	031	031	NUM
bracis-28423	294	23	-	-	PUNCT
bracis-28423	294	24	45391	45391	NUM
bracis-28423	294	25	-	-	SYM
bracis-28423	294	26	5	5	NUM
bracis-28423	294	27	online	online	ADJ
bracis-28423	294	28	isbn	isbn	NOUN
bracis-28423	294	29	:	:	PUNCT
bracis-28423	294	30	978	978	NUM
bracis-28423	294	31	-	-	SYM
bracis-28423	294	32	3	3	NUM
bracis-28423	294	33	-	-	PUNCT
bracis-28423	294	34	031	031	NUM
bracis-28423	294	35	-	-	PUNCT
bracis-28423	294	36	45392	45392	NUM
bracis-28423	294	37	-	-	SYM
bracis-28423	294	38	2	2	NUM
bracis-28423	294	39	ebook	ebook	NOUN
bracis-28423	294	40	packages	package	NOUN
bracis-28423	294	41	:	:	PUNCT
bracis-28423	294	42	computer	computer	NOUN
bracis-28423	294	43	sciencecomputer	sciencecomputer	NOUN
bracis-28423	294	44	science	science	NOUN
bracis-28423	294	45	(	(	PUNCT
bracis-28423	294	46	r0	r0	NOUN
bracis-28423	294	47	)	)	PUNCT
bracis-28423	294	48	share	share	VERB
bracis-28423	294	49	this	this	DET
bracis-28423	294	50	paper	paper	NOUN
bracis-28423	294	51	anyone	anyone	PRON
bracis-28423	294	52	you	you	PRON
bracis-28423	294	53	share	share	VERB
bracis-28423	294	54	the	the	DET
bracis-28423	294	55	following	follow	VERB
bracis-28423	294	56	link	link	NOUN
bracis-28423	294	57	with	with	ADP
bracis-28423	294	58	will	will	AUX
bracis-28423	294	59	be	be	AUX
bracis-28423	294	60	able	able	ADJ
bracis-28423	294	61	to	to	PART
bracis-28423	294	62	read	read	VERB
bracis-28423	294	63	this	this	DET
bracis-28423	294	64	content	content	NOUN
bracis-28423	294	65	:	:	PUNCT
bracis-28423	294	66	get	get	VERB
bracis-28423	294	67	shareable	shareable	ADJ
bracis-28423	294	68	linksorry	linksorry	NOUN
bracis-28423	294	69	,	,	PUNCT
bracis-28423	294	70	a	a	DET
bracis-28423	294	71	shareable	shareable	ADJ
bracis-28423	294	72	link	link	NOUN
bracis-28423	294	73	is	be	AUX
bracis-28423	294	74	not	not	PART
bracis-28423	294	75	currently	currently	ADV
bracis-28423	294	76	available	available	ADJ
bracis-28423	294	77	for	for	ADP
bracis-28423	294	78	this	this	DET
bracis-28423	294	79	article	article	NOUN
bracis-28423	294	80	.	.	PUNCT
bracis-28423	295	1	copy	copy	VERB
bracis-28423	295	2	shareable	shareable	ADJ
bracis-28423	295	3	link	link	NOUN
bracis-28423	295	4	to	to	PART
bracis-28423	295	5	clipboard	clipboard	NOUN
bracis-28423	295	6	provided	provide	VERB
bracis-28423	295	7	by	by	ADP
bracis-28423	295	8	the	the	DET
bracis-28423	295	9	springer	springer	NOUN
bracis-28423	295	10	nature	nature	PROPN
bracis-28423	295	11	sharedit	sharedit	PROPN
bracis-28423	295	12	content	content	NOUN
bracis-28423	295	13	-	-	PUNCT
bracis-28423	295	14	sharing	share	VERB
bracis-28423	295	15	initiative	initiative	NOUN
bracis-28423	295	16	keywords	keyword	NOUN
bracis-28423	295	17	clustering	cluster	VERB
bracis-28423	295	18	internal	internal	ADJ
bracis-28423	295	19	validation	validation	NOUN
bracis-28423	295	20	categorical	categorical	ADJ
bracis-28423	295	21	data	datum	NOUN
bracis-28423	295	22	recommendation	recommendation	NOUN
bracis-28423	295	23	systems	system	NOUN
bracis-28423	295	24	based	base	VERB
bracis-28423	295	25	on	on	ADP
bracis-28423	295	26	competence	competence	NOUN
bracis-28423	295	27	publish	publish	VERB
bracis-28423	295	28	with	with	ADP
bracis-28423	295	29	us	us	PROPN
bracis-28423	295	30	policies	policy	NOUN
bracis-28423	295	31	and	and	CCONJ
bracis-28423	295	32	ethics	ethic	NOUN
bracis-28423	295	33	profiles	profile	NOUN
bracis-28423	295	34	vitor	vitor	PROPN
bracis-28423	295	35	venceslau	venceslau	PROPN
bracis-28423	295	36	curtis	curtis	PROPN
bracis-28423	295	37	view	view	PROPN
bracis-28423	295	38	author	author	NOUN
bracis-28423	295	39	profile	profile	PROPN
bracis-28423	295	40	filipe	filipe	PROPN
bracis-28423	295	41	alves	alves	PROPN
bracis-28423	295	42	neto	neto	PROPN
bracis-28423	295	43	verri	verri	PROPN
bracis-28423	295	44	view	view	PROPN
bracis-28423	295	45	author	author	NOUN
bracis-28423	295	46	profile	profile	NOUN
bracis-28423	295	47	search	search	NOUN
bracis-28423	295	48	search	search	NOUN
bracis-28423	295	49	by	by	ADP
bracis-28423	295	50	keyword	keyword	NOUN
bracis-28423	295	51	or	or	CCONJ
bracis-28423	295	52	author	author	NOUN
bracis-28423	295	53	search	search	NOUN
bracis-28423	295	54	navigation	navigation	NOUN
bracis-28423	295	55	find	find	VERB
bracis-28423	295	56	a	a	DET
bracis-28423	295	57	journal	journal	NOUN
bracis-28423	295	58	publish	publish	VERB
bracis-28423	295	59	with	with	ADP
bracis-28423	295	60	us	we	PRON
bracis-28423	295	61	track	track	VERB
bracis-28423	295	62	your	your	PRON
bracis-28423	295	63	research	research	NOUN
bracis-28423	295	64	discover	discover	VERB
bracis-28423	295	65	content	content	NOUN
bracis-28423	295	66	journals	journal	NOUN
bracis-28423	295	67	a	a	DET
bracis-28423	295	68	-	-	PUNCT
bracis-28423	295	69	z	z	NOUN
bracis-28423	295	70	books	book	NOUN
bracis-28423	295	71	a	a	DET
bracis-28423	295	72	-	-	PUNCT
bracis-28423	295	73	z	z	NOUN
bracis-28423	295	74	publish	publish	NOUN
bracis-28423	295	75	with	with	ADP
bracis-28423	295	76	us	us	PROPN
bracis-28423	295	77	journal	journal	PROPN
bracis-28423	295	78	finder	finder	PROPN
bracis-28423	295	79	publish	publish	VERB
bracis-28423	295	80	your	your	PRON
bracis-28423	295	81	research	research	NOUN
bracis-28423	295	82	language	language	NOUN
bracis-28423	295	83	editing	edit	VERB
bracis-28423	295	84	open	open	ADJ
bracis-28423	295	85	access	access	NOUN
bracis-28423	295	86	publishing	publishing	NOUN
bracis-28423	295	87	products	product	NOUN
bracis-28423	295	88	and	and	CCONJ
bracis-28423	295	89	services	service	NOUN
bracis-28423	295	90	our	our	PRON
bracis-28423	295	91	products	product	NOUN
bracis-28423	295	92	librarians	librarian	VERB
bracis-28423	295	93	societies	society	NOUN
bracis-28423	295	94	partners	partner	NOUN
bracis-28423	295	95	and	and	CCONJ
bracis-28423	295	96	advertisers	advertiser	NOUN
bracis-28423	295	97	our	our	PRON
bracis-28423	295	98	brands	brand	NOUN
bracis-28423	295	99	springer	springer	NOUN
bracis-28423	295	100	nature	nature	PROPN
bracis-28423	295	101	portfolio	portfolio	PROPN
bracis-28423	295	102	bmc	bmc	PROPN
bracis-28423	295	103	palgrave	palgrave	PROPN
bracis-28423	295	104	macmillan	macmillan	PROPN
bracis-28423	295	105	apress	apress	PROPN
bracis-28423	295	106	discover	discover	VERB
bracis-28423	295	107	your	your	PRON
bracis-28423	295	108	privacy	privacy	NOUN
bracis-28423	295	109	choices	choice	NOUN
bracis-28423	295	110	/	/	SYM
bracis-28423	295	111	manage	manage	NOUN
bracis-28423	295	112	cookies	cookie	NOUN
bracis-28423	295	113	your	your	PRON
bracis-28423	295	114	us	us	PROPN
bracis-28423	296	1	state	state	NOUN
bracis-28423	296	2	privacy	privacy	NOUN
bracis-28423	296	3	rights	right	NOUN
bracis-28423	296	4	accessibility	accessibility	NOUN
bracis-28423	296	5	statement	statement	NOUN
bracis-28423	296	6	terms	term	NOUN
bracis-28423	296	7	and	and	CCONJ
bracis-28423	296	8	conditions	condition	NOUN
bracis-28423	296	9	privacy	privacy	NOUN
bracis-28423	296	10	policy	policy	NOUN
bracis-28423	296	11	help	help	NOUN
bracis-28423	296	12	and	and	CCONJ
bracis-28423	296	13	support	support	VERB
bracis-28423	296	14	legal	legal	ADJ
bracis-28423	296	15	notice	notice	NOUN
bracis-28423	296	16	cancel	cancel	VERB
bracis-28423	296	17	contracts	contract	NOUN
bracis-28423	296	18	here	here	ADV
bracis-28423	296	19	129.74.145.123	129.74.145.123	NUM
bracis-28423	296	20	hesburgh	hesburgh	PROPN
bracis-28423	296	21	library	library	PROPN
bracis-28423	296	22	er	er	INTJ
bracis-28423	296	23	unit	unit	NOUN
bracis-28423	296	24	(	(	PUNCT
bracis-28423	296	25	3005732405	3005732405	NUM
bracis-28423	296	26	)	)	PUNCT
bracis-28423	296	27	northeast	northeast	ADJ
bracis-28423	296	28	research	research	NOUN
bracis-28423	296	29	libraries	library	NOUN
bracis-28423	296	30	(	(	PUNCT
bracis-28423	296	31	nerl	nerl	PROPN
bracis-28423	296	32	)	)	PUNCT
bracis-28423	296	33	(	(	PUNCT
bracis-28423	296	34	8200828607	8200828607	NUM
bracis-28423	296	35	)	)	PUNCT
bracis-28423	296	36	nerl	nerl	VERB
bracis-28423	296	37	ta	ta	X
bracis-28423	296	38	account	account	NOUN
bracis-28423	296	39	(	(	PUNCT
bracis-28423	296	40	3006206169	3006206169	NUM
bracis-28423	296	41	)	)	PUNCT
bracis-28423	296	42	university	university	NOUN
bracis-28423	296	43	of	of	ADP
bracis-28423	296	44	notre	notre	PROPN
bracis-28423	296	45	dame	dame	PROPN
bracis-28423	296	46	hesburgh	hesburgh	PROPN
bracis-28423	296	47	library	library	NOUN
bracis-28423	296	48	(	(	PUNCT
bracis-28423	296	49	3000184373	3000184373	NUM
bracis-28423	296	50	)	)	PUNCT
bracis-28423	297	1	©	©	ADP
bracis-28423	297	2	2025	2025	NUM
bracis-28423	297	3	springer	springer	NOUN
bracis-28423	297	4	nature	nature	NOUN