id	sid	tid	token	lemma	pos
cana-3440	1	1	communications	communication	NOUN
cana-3440	1	2	on	on	ADP
cana-3440	1	3	applied	apply	VERB
cana-3440	1	4	nonlinear	nonlinear	ADJ
cana-3440	1	5	analysis	analysis	NOUN
cana-3440	1	6	issn	issn	NOUN
cana-3440	1	7	:	:	PUNCT
cana-3440	1	8	1074	1074	NUM
cana-3440	1	9	-	-	PUNCT
cana-3440	1	10	133x	133x	NUM
cana-3440	1	11	vol	vol	NOUN
cana-3440	1	12	32	32	NUM
cana-3440	1	13	no	no	NOUN
cana-3440	1	14	.	.	PUNCT
cana-3440	2	1	7s	7	NOUN
cana-3440	2	2	(	(	PUNCT
cana-3440	2	3	2025	2025	NUM
cana-3440	2	4	)	)	PUNCT
cana-3440	2	5	403	403	NUM
cana-3440	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	3	2	mathematical	mathematical	ADJ
cana-3440	3	3	insights	insight	NOUN
cana-3440	3	4	and	and	CCONJ
cana-3440	3	5	applications	application	NOUN
cana-3440	3	6	of	of	ADP
cana-3440	3	7	k	k	NOUN
cana-3440	3	8	-	-	PUNCT
cana-3440	3	9	means	means	NOUN
cana-3440	3	10	clustering	clustering	NOUN
cana-3440	3	11	in	in	ADP
cana-3440	3	12	diabetes	diabetes	NOUN
cana-3440	3	13	data	datum	NOUN
cana-3440	3	14	analysis	analysis	NOUN
cana-3440	3	15	sofi	sofi	PROPN
cana-3440	3	16	.	.	PUNCT
cana-3440	4	1	a.	a.	PROPN
cana-3440	4	2	francis1	francis1	PROPN
cana-3440	4	3	,	,	PUNCT
cana-3440	4	4	m.	m.	NOUN
cana-3440	4	5	sangeetha1	sangeetha1	PROPN
cana-3440	4	6	,	,	PUNCT
cana-3440	4	7	p.pooranadevi2	p.pooranadevi2	PROPN
cana-3440	4	8	,	,	PUNCT
cana-3440	4	9	a.sathyakala3	a.sathyakala3	VERB
cana-3440	4	10	1department	1department	NUM
cana-3440	4	11	of	of	ADP
cana-3440	4	12	mathematics	mathematic	NOUN
cana-3440	4	13	,	,	PUNCT
cana-3440	4	14	dr.n.g.p	dr.n.g.p	NOUN
cana-3440	4	15	arts	art	NOUN
cana-3440	4	16	and	and	CCONJ
cana-3440	4	17	science	science	PROPN
cana-3440	4	18	college	college	PROPN
cana-3440	4	19	,	,	PUNCT
cana-3440	4	20	coimbatore	coimbatore	PROPN
cana-3440	4	21	,	,	PUNCT
cana-3440	4	22	india-641048	india-641048	NOUN
cana-3440	4	23	2department	2department	NUM
cana-3440	4	24	of	of	ADP
cana-3440	4	25	science	science	NOUN
cana-3440	4	26	and	and	CCONJ
cana-3440	4	27	humanities	humanity	NOUN
cana-3440	4	28	,	,	PUNCT
cana-3440	4	29	info	info	NOUN
cana-3440	4	30	institute	institute	PROPN
cana-3440	4	31	of	of	ADP
cana-3440	4	32	engineering	engineering	PROPN
cana-3440	4	33	,	,	PUNCT
cana-3440	4	34	coimbatore	coimbatore	PROPN
cana-3440	4	35	,	,	PUNCT
cana-3440	4	36	india-641107	india-641107	NOUN
cana-3440	4	37	3department	3department	NUM
cana-3440	4	38	of	of	ADP
cana-3440	4	39	mathematics	mathematic	NOUN
cana-3440	4	40	,	,	PUNCT
cana-3440	4	41	dr.n.g.p	dr.n.g.p	NOUN
cana-3440	4	42	.	.	PUNCT
cana-3440	5	1	institute	institute	PROPN
cana-3440	5	2	of	of	ADP
cana-3440	5	3	technology	technology	PROPN
cana-3440	5	4	,	,	PUNCT
cana-3440	5	5	coimbatore	coimbatore	NOUN
cana-3440	5	6	,	,	PUNCT
cana-3440	5	7	india-641048	india-641048	ADJ
cana-3440	5	8	corresponding	correspond	VERB
cana-3440	5	9	author	author	NOUN
cana-3440	5	10	email	email	NOUN
cana-3440	5	11	:	:	PUNCT
cana-3440	5	12	m.sangeethaphd@gmail.com	m.sangeethaphd@gmail.com	PROPN
cana-3440	5	13	article	article	PROPN
cana-3440	5	14	history	history	NOUN
cana-3440	5	15	:	:	PUNCT
cana-3440	5	16	received	receive	VERB
cana-3440	5	17	:	:	PUNCT
cana-3440	5	18	26	26	NUM
cana-3440	5	19	-	-	SYM
cana-3440	5	20	10	10	NUM
cana-3440	5	21	-	-	PUNCT
cana-3440	5	22	2024	2024	NUM
cana-3440	5	23	revised:10	revised:10	NOUN
cana-3440	5	24	-	-	PUNCT
cana-3440	5	25	11	11	NUM
cana-3440	5	26	-	-	PUNCT
cana-3440	5	27	2024	2024	NUM
cana-3440	5	28	accepted:18	accepted:18	PROPN
cana-3440	5	29	-	-	PUNCT
cana-3440	5	30	12	12	NUM
cana-3440	5	31	-	-	PUNCT
cana-3440	5	32	2024	2024	NUM
cana-3440	5	33	abstract	abstract	ADJ
cana-3440	5	34	k	k	NOUN
cana-3440	5	35	-	-	PUNCT
cana-3440	5	36	means	means	NOUN
cana-3440	5	37	clustering	clustering	NOUN
cana-3440	5	38	is	be	AUX
cana-3440	5	39	a	a	DET
cana-3440	5	40	powerful	powerful	ADJ
cana-3440	5	41	and	and	CCONJ
cana-3440	5	42	adaptable	adaptable	ADJ
cana-3440	5	43	technology	technology	NOUN
cana-3440	5	44	that	that	PRON
cana-3440	5	45	has	have	AUX
cana-3440	5	46	transformed	transform	VERB
cana-3440	5	47	industries	industry	NOUN
cana-3440	5	48	like	like	ADP
cana-3440	5	49	operations	operation	NOUN
cana-3440	5	50	research	research	NOUN
cana-3440	5	51	and	and	CCONJ
cana-3440	5	52	healthcare	healthcare	NOUN
cana-3440	5	53	due	due	ADP
cana-3440	5	54	to	to	ADP
cana-3440	5	55	the	the	DET
cana-3440	5	56	quick	quick	ADJ
cana-3440	5	57	development	development	NOUN
cana-3440	5	58	of	of	ADP
cana-3440	5	59	machine	machine	NOUN
cana-3440	5	60	learning	learning	NOUN
cana-3440	5	61	and	and	CCONJ
cana-3440	5	62	data	datum	NOUN
cana-3440	5	63	analytics	analytic	NOUN
cana-3440	5	64	.	.	PUNCT
cana-3440	6	1	using	use	VERB
cana-3440	6	2	k	k	NOUN
cana-3440	6	3	-	-	PUNCT
cana-3440	6	4	means	mean	NOUN
cana-3440	6	5	,	,	PUNCT
cana-3440	6	6	this	this	DET
cana-3440	6	7	study	study	NOUN
cana-3440	6	8	examines	examine	VERB
cana-3440	6	9	a	a	DET
cana-3440	6	10	realworld	realworld	PROPN
cana-3440	6	11	dataset	dataset	NOUN
cana-3440	6	12	of	of	ADP
cana-3440	6	13	1050	1050	NUM
cana-3440	6	14	diabetic	diabetic	ADJ
cana-3440	6	15	patients	patient	NOUN
cana-3440	6	16	that	that	PRON
cana-3440	6	17	has	have	AUX
cana-3440	6	18	been	be	AUX
cana-3440	6	19	divided	divide	VERB
cana-3440	6	20	into	into	ADP
cana-3440	6	21	groups	group	NOUN
cana-3440	6	22	based	base	VERB
cana-3440	6	23	on	on	ADP
cana-3440	6	24	important	important	ADJ
cana-3440	6	25	clinical	clinical	ADJ
cana-3440	6	26	criteria	criterion	NOUN
cana-3440	6	27	such	such	ADJ
cana-3440	6	28	as	as	ADP
cana-3440	6	29	hba1c	hba1c	PROPN
cana-3440	6	30	levels	level	NOUN
cana-3440	6	31	,	,	PUNCT
cana-3440	6	32	random	random	ADJ
cana-3440	6	33	blood	blood	NOUN
cana-3440	6	34	sugar	sugar	NOUN
cana-3440	6	35	(	(	PUNCT
cana-3440	6	36	rbs	rbs	PROPN
cana-3440	6	37	)	)	PUNCT
cana-3440	6	38	,	,	PUNCT
cana-3440	6	39	postprandial	postprandial	ADJ
cana-3440	6	40	blood	blood	NOUN
cana-3440	6	41	sugar	sugar	NOUN
cana-3440	6	42	(	(	PUNCT
cana-3440	6	43	ppbs	ppb	NOUN
cana-3440	6	44	)	)	PUNCT
cana-3440	6	45	,	,	PUNCT
cana-3440	6	46	and	and	CCONJ
cana-3440	6	47	fasting	fast	VERB
cana-3440	6	48	blood	blood	NOUN
cana-3440	6	49	sugar	sugar	NOUN
cana-3440	6	50	(	(	PUNCT
cana-3440	6	51	fbs	fbs	PROPN
cana-3440	6	52	)	)	PUNCT
cana-3440	6	53	.	.	PUNCT
cana-3440	7	1	utilizing	utilize	VERB
cana-3440	7	2	operations	operation	NOUN
cana-3440	7	3	research	research	NOUN
cana-3440	7	4	methods	method	NOUN
cana-3440	7	5	,	,	PUNCT
cana-3440	7	6	our	our	PRON
cana-3440	7	7	goals	goal	NOUN
cana-3440	7	8	are	be	AUX
cana-3440	7	9	to	to	PART
cana-3440	7	10	pinpoint	pinpoint	VERB
cana-3440	7	11	unique	unique	ADJ
cana-3440	7	12	patient	patient	ADJ
cana-3440	7	13	groups	group	NOUN
cana-3440	7	14	,	,	PUNCT
cana-3440	7	15	improve	improve	VERB
cana-3440	7	16	individualized	individualized	ADJ
cana-3440	7	17	care	care	NOUN
cana-3440	7	18	plans	plan	NOUN
cana-3440	7	19	,	,	PUNCT
cana-3440	7	20	and	and	CCONJ
cana-3440	7	21	maximize	maximize	VERB
cana-3440	7	22	the	the	DET
cana-3440	7	23	use	use	NOUN
cana-3440	7	24	of	of	ADP
cana-3440	7	25	available	available	ADJ
cana-3440	7	26	resources	resource	NOUN
cana-3440	7	27	.	.	PUNCT
cana-3440	8	1	the	the	DET
cana-3440	8	2	effectiveness	effectiveness	NOUN
cana-3440	8	3	of	of	ADP
cana-3440	8	4	k	k	NOUN
cana-3440	8	5	-	-	PUNCT
cana-3440	8	6	means	means	NOUN
cana-3440	8	7	clustering	clustering	NOUN
cana-3440	8	8	in	in	ADP
cana-3440	8	9	diabetes	diabetes	NOUN
cana-3440	8	10	management	management	NOUN
cana-3440	8	11	is	be	AUX
cana-3440	8	12	demonstrated	demonstrate	VERB
cana-3440	8	13	in	in	ADP
cana-3440	8	14	this	this	DET
cana-3440	8	15	study	study	NOUN
cana-3440	8	16	,	,	PUNCT
cana-3440	8	17	which	which	PRON
cana-3440	8	18	also	also	ADV
cana-3440	8	19	provides	provide	VERB
cana-3440	8	20	important	important	ADJ
cana-3440	8	21	insights	insight	NOUN
cana-3440	8	22	for	for	ADP
cana-3440	8	23	individualized	individualized	ADJ
cana-3440	8	24	healthcare	healthcare	NOUN
cana-3440	8	25	and	and	CCONJ
cana-3440	8	26	shows	show	VERB
cana-3440	8	27	the	the	DET
cana-3440	8	28	algorithm	algorithm	NOUN
cana-3440	8	29	’s	’s	PART
cana-3440	8	30	superiority	superiority	NOUN
cana-3440	8	31	over	over	ADP
cana-3440	8	32	other	other	ADJ
cana-3440	8	33	machine	machine	NOUN
cana-3440	8	34	learning	learn	VERB
cana-3440	8	35	techniques	technique	NOUN
cana-3440	8	36	.	.	PUNCT
cana-3440	9	1	keywords	keyword	NOUN
cana-3440	9	2	:	:	PUNCT
cana-3440	9	3	fbs	fbs	ADJ
cana-3440	9	4	,	,	PUNCT
cana-3440	9	5	ppbs	ppb	NOUN
cana-3440	9	6	,	,	PUNCT
cana-3440	9	7	rbs	rbs	PROPN
cana-3440	9	8	,	,	PUNCT
cana-3440	9	9	hba1c	hba1c	PROPN
cana-3440	9	10	,	,	PUNCT
cana-3440	9	11	k	k	X
cana-3440	9	12	-	-	PUNCT
cana-3440	9	13	means	means	VERB
cana-3440	9	14	1	1	NUM
cana-3440	9	15	introduction	introduction	NOUN
cana-3440	9	16	in	in	ADP
cana-3440	9	17	many	many	ADJ
cana-3440	9	18	different	different	ADJ
cana-3440	9	19	industries	industry	NOUN
cana-3440	9	20	,	,	PUNCT
cana-3440	9	21	operations	operation	NOUN
cana-3440	9	22	research	research	NOUN
cana-3440	9	23	is	be	AUX
cana-3440	9	24	essential	essential	ADJ
cana-3440	9	25	to	to	ADP
cana-3440	9	26	enhancing	enhance	VERB
cana-3440	9	27	efficiency	efficiency	NOUN
cana-3440	9	28	,	,	PUNCT
cana-3440	9	29	solving	solve	VERB
cana-3440	9	30	complicated	complicated	ADJ
cana-3440	9	31	challenges	challenge	NOUN
cana-3440	9	32	,	,	PUNCT
cana-3440	9	33	and	and	CCONJ
cana-3440	9	34	streamlining	streamline	VERB
cana-3440	9	35	decision	decision	NOUN
cana-3440	9	36	-	-	PUNCT
cana-3440	9	37	making	make	VERB
cana-3440	9	38	processes	process	NOUN
cana-3440	9	39	.	.	PUNCT
cana-3440	10	1	patient	patient	ADJ
cana-3440	10	2	management	management	NOUN
cana-3440	10	3	,	,	PUNCT
cana-3440	10	4	resource	resource	NOUN
cana-3440	10	5	allocation	allocation	NOUN
cana-3440	10	6	,	,	PUNCT
cana-3440	10	7	and	and	CCONJ
cana-3440	10	8	treatment	treatment	NOUN
cana-3440	10	9	procedures	procedure	NOUN
cana-3440	10	10	have	have	AUX
cana-3440	10	11	significantly	significantly	ADV
cana-3440	10	12	improved	improve	VERB
cana-3440	10	13	in	in	ADP
cana-3440	10	14	the	the	DET
cana-3440	10	15	healthcare	healthcare	NOUN
cana-3440	10	16	industry	industry	NOUN
cana-3440	10	17	as	as	ADP
cana-3440	10	18	a	a	DET
cana-3440	10	19	result	result	NOUN
cana-3440	10	20	of	of	ADP
cana-3440	10	21	the	the	DET
cana-3440	10	22	use	use	NOUN
cana-3440	10	23	of	of	ADP
cana-3440	10	24	operations	operation	NOUN
cana-3440	10	25	research	research	NOUN
cana-3440	10	26	approaches	approach	NOUN
cana-3440	10	27	.	.	PUNCT
cana-3440	11	1	one	one	NUM
cana-3440	11	2	such	such	ADJ
cana-3440	11	3	method	method	NOUN
cana-3440	11	4	,	,	PUNCT
cana-3440	11	5	k	k	ADJ
cana-3440	11	6	-	-	PUNCT
cana-3440	11	7	means	means	NOUN
cana-3440	11	8	clustering	clustering	NOUN
cana-3440	11	9	,	,	PUNCT
cana-3440	11	10	has	have	AUX
cana-3440	11	11	become	become	VERB
cana-3440	11	12	a	a	DET
cana-3440	11	13	potent	potent	ADJ
cana-3440	11	14	instrument	instrument	NOUN
cana-3440	11	15	for	for	ADP
cana-3440	11	16	dividing	divide	VERB
cana-3440	11	17	data	datum	NOUN
cana-3440	11	18	into	into	ADP
cana-3440	11	19	distinct	distinct	ADJ
cana-3440	11	20	groups	group	NOUN
cana-3440	11	21	and	and	CCONJ
cana-3440	11	22	making	make	VERB
cana-3440	11	23	it	it	PRON
cana-3440	11	24	easier	easy	ADJ
cana-3440	11	25	to	to	PART
cana-3440	11	26	find	find	VERB
cana-3440	11	27	trends	trend	NOUN
cana-3440	11	28	and	and	CCONJ
cana-3440	11	29	insights	insight	NOUN
cana-3440	11	30	that	that	PRON
cana-3440	11	31	can	can	AUX
cana-3440	11	32	improve	improve	VERB
cana-3440	11	33	judgment	judgment	NOUN
cana-3440	11	34	.	.	PUNCT
cana-3440	12	1	for	for	SCONJ
cana-3440	12	2	diabetes	diabetes	NOUN
cana-3440	12	3	management	management	NOUN
cana-3440	12	4	to	to	PART
cana-3440	12	5	improve	improve	VERB
cana-3440	12	6	patient	patient	ADJ
cana-3440	12	7	outcomes	outcome	NOUN
cana-3440	12	8	and	and	CCONJ
cana-3440	12	9	lessen	lessen	VERB
cana-3440	12	10	the	the	DET
cana-3440	12	11	burden	burden	NOUN
cana-3440	12	12	of	of	ADP
cana-3440	12	13	this	this	DET
cana-3440	12	14	chronic	chronic	ADJ
cana-3440	12	15	condition	condition	NOUN
cana-3440	12	16	,	,	PUNCT
cana-3440	12	17	individualized	individualized	ADJ
cana-3440	12	18	treatment	treatment	NOUN
cana-3440	12	19	plans	plan	NOUN
cana-3440	12	20	are	be	AUX
cana-3440	12	21	crucial	crucial	ADJ
cana-3440	12	22	.	.	PUNCT
cana-3440	13	1	in	in	ADP
cana-3440	13	2	order	order	NOUN
cana-3440	13	3	to	to	PART
cana-3440	13	4	effectively	effectively	ADV
cana-3440	13	5	manage	manage	VERB
cana-3440	13	6	diabetes	diabetes	NOUN
cana-3440	13	7	,	,	PUNCT
cana-3440	13	8	important	important	ADJ
cana-3440	13	9	clinical	clinical	ADJ
cana-3440	13	10	markers	marker	NOUN
cana-3440	13	11	such	such	ADJ
cana-3440	13	12	hba1c	hba1c	PROPN
cana-3440	13	13	levels	level	NOUN
cana-3440	13	14	,	,	PUNCT
cana-3440	13	15	random	random	ADJ
cana-3440	13	16	blood	blood	NOUN
cana-3440	13	17	sugar	sugar	NOUN
cana-3440	13	18	(	(	PUNCT
cana-3440	13	19	rbs	rbs	PROPN
cana-3440	13	20	)	)	PUNCT
cana-3440	13	21	,	,	PUNCT
cana-3440	13	22	postprandial	postprandial	ADJ
cana-3440	13	23	blood	blood	NOUN
cana-3440	13	24	sugar	sugar	NOUN
cana-3440	13	25	(	(	PUNCT
cana-3440	13	26	ppbs	ppb	NOUN
cana-3440	13	27	)	)	PUNCT
cana-3440	13	28	,	,	PUNCT
cana-3440	13	29	and	and	CCONJ
cana-3440	13	30	fasting	fast	VERB
cana-3440	13	31	blood	blood	NOUN
cana-3440	13	32	sugar	sugar	NOUN
cana-3440	13	33	(	(	PUNCT
cana-3440	13	34	fbs	fbs	PROPN
cana-3440	13	35	)	)	PUNCT
cana-3440	13	36	must	must	AUX
cana-3440	13	37	be	be	AUX
cana-3440	13	38	continuously	continuously	ADV
cana-3440	13	39	monitored	monitor	VERB
cana-3440	13	40	and	and	CCONJ
cana-3440	13	41	controlled	control	VERB
cana-3440	13	42	.	.	PUNCT
cana-3440	14	1	because	because	SCONJ
cana-3440	14	2	diabetic	diabetic	ADJ
cana-3440	14	3	patients	patient	NOUN
cana-3440	14	4	are	be	AUX
cana-3440	14	5	diverse	diverse	ADJ
cana-3440	14	6	,	,	PUNCT
cana-3440	14	7	clustering	cluster	VERB
cana-3440	14	8	algorithms	algorithm	NOUN
cana-3440	14	9	such	such	ADJ
cana-3440	14	10	as	as	ADP
cana-3440	14	11	k	k	NOUN
cana-3440	14	12	-	-	PUNCT
cana-3440	14	13	means	means	NOUN
cana-3440	14	14	can	can	AUX
cana-3440	14	15	be	be	AUX
cana-3440	14	16	useful	useful	ADJ
cana-3440	14	17	in	in	ADP
cana-3440	14	18	identifying	identify	VERB
cana-3440	14	19	discrete	discrete	ADJ
cana-3440	14	20	patient	patient	NOUN
cana-3440	14	21	groups	group	NOUN
cana-3440	14	22	,	,	PUNCT
cana-3440	14	23	each	each	PRON
cana-3440	14	24	with	with	ADP
cana-3440	14	25	its	its	PRON
cana-3440	14	26	own	own	ADJ
cana-3440	14	27	set	set	NOUN
cana-3440	14	28	of	of	ADP
cana-3440	14	29	traits	trait	NOUN
cana-3440	14	30	and	and	CCONJ
cana-3440	14	31	requirements	requirement	NOUN
cana-3440	14	32	for	for	ADP
cana-3440	14	33	therapy	therapy	NOUN
cana-3440	14	34	.	.	PUNCT
cana-3440	15	1	in	in	ADP
cana-3440	15	2	this	this	DET
cana-3440	15	3	study	study	NOUN
cana-3440	15	4	,	,	PUNCT
cana-3440	15	5	1050	1050	NUM
cana-3440	15	6	diabetic	diabetic	ADJ
cana-3440	15	7	patients	patient	NOUN
cana-3440	15	8	from	from	ADP
cana-3440	15	9	a	a	DET
cana-3440	15	10	real	real	ADJ
cana-3440	15	11	-	-	PUNCT
cana-3440	15	12	world	world	NOUN
cana-3440	15	13	dataset	dataset	NOUN
cana-3440	15	14	are	be	AUX
cana-3440	15	15	analyzed	analyze	VERB
cana-3440	15	16	using	use	VERB
cana-3440	15	17	k	k	PROPN
cana-3440	15	18	means	mean	VERB
cana-3440	15	19	clustering	cluster	VERB
cana-3440	15	20	.	.	PUNCT
cana-3440	16	1	finding	find	VERB
cana-3440	16	2	hidden	hide	VERB
cana-3440	16	3	patterns	pattern	NOUN
cana-3440	16	4	and	and	CCONJ
cana-3440	16	5	groups	group	NOUN
cana-3440	16	6	based	base	VERB
cana-3440	16	7	on	on	ADP
cana-3440	16	8	fbs	fbs	PROPN
cana-3440	16	9	,	,	PUNCT
cana-3440	16	10	ppbs	ppb	NOUN
cana-3440	16	11	,	,	PUNCT
cana-3440	16	12	rbs	rbs	NOUN
cana-3440	16	13	,	,	PUNCT
cana-3440	16	14	and	and	CCONJ
cana-3440	16	15	hba1c	hba1c	PROPN
cana-3440	16	16	levels	level	NOUN
cana-3440	16	17	is	be	AUX
cana-3440	16	18	the	the	DET
cana-3440	16	19	goal	goal	NOUN
cana-3440	16	20	.	.	PUNCT
cana-3440	17	1	these	these	PRON
cana-3440	17	2	can	can	AUX
cana-3440	17	3	help	help	VERB
cana-3440	17	4	healthcare	healthcare	NOUN
cana-3440	17	5	organizations	organization	NOUN
cana-3440	17	6	allocate	allocate	VERB
cana-3440	17	7	resources	resource	NOUN
cana-3440	17	8	more	more	ADV
cana-3440	17	9	efficiently	efficiently	ADV
cana-3440	17	10	and	and	CCONJ
cana-3440	17	11	provide	provide	VERB
cana-3440	17	12	individualized	individualized	ADJ
cana-3440	17	13	treatment	treatment	NOUN
cana-3440	17	14	strategies	strategy	NOUN
cana-3440	17	15	.	.	PUNCT
cana-3440	18	1	by	by	ADP
cana-3440	18	2	combining	combine	VERB
cana-3440	18	3	machine	machine	NOUN
cana-3440	18	4	learning	learning	NOUN
cana-3440	18	5	and	and	CCONJ
cana-3440	18	6	operations	operation	NOUN
cana-3440	18	7	research	research	NOUN
cana-3440	18	8	approaches	approach	NOUN
cana-3440	18	9	,	,	PUNCT
cana-3440	18	10	we	we	PRON
cana-3440	18	11	hope	hope	VERB
cana-3440	18	12	to	to	PART
cana-3440	18	13	provide	provide	VERB
cana-3440	18	14	a	a	DET
cana-3440	18	15	strong	strong	ADJ
cana-3440	18	16	foundation	foundation	NOUN
cana-3440	18	17	for	for	ADP
cana-3440	18	18	improving	improve	VERB
cana-3440	18	19	the	the	DET
cana-3440	18	20	care	care	NOUN
cana-3440	18	21	of	of	ADP
cana-3440	18	22	diabetes	diabetes	NOUN
cana-3440	18	23	patients	patient	NOUN
cana-3440	18	24	.	.	PUNCT
cana-3440	19	1	this	this	DET
cana-3440	19	2	study	study	NOUN
cana-3440	19	3	is	be	AUX
cana-3440	19	4	innovative	innovative	ADJ
cana-3440	19	5	in	in	SCONJ
cana-3440	19	6	that	that	SCONJ
cana-3440	19	7	it	it	PRON
cana-3440	19	8	tackles	tackle	VERB
cana-3440	19	9	the	the	DET
cana-3440	19	10	challenges	challenge	NOUN
cana-3440	19	11	of	of	ADP
cana-3440	19	12	managing	manage	VERB
cana-3440	19	13	diabetes	diabetes	NOUN
cana-3440	19	14	by	by	ADP
cana-3440	19	15	fusing	fuse	VERB
cana-3440	19	16	rigorous	rigorous	ADJ
cana-3440	19	17	communications	communication	NOUN
cana-3440	19	18	on	on	ADP
cana-3440	19	19	applied	apply	VERB
cana-3440	19	20	nonlinear	nonlinear	ADJ
cana-3440	19	21	analysis	analysis	NOUN
cana-3440	19	22	issn	issn	NOUN
cana-3440	19	23	:	:	PUNCT
cana-3440	19	24	1074	1074	NUM
cana-3440	19	25	-	-	PUNCT
cana-3440	19	26	133x	133x	NUM
cana-3440	19	27	vol	vol	NOUN
cana-3440	19	28	32	32	NUM
cana-3440	19	29	no	no	NOUN
cana-3440	19	30	.	.	PUNCT
cana-3440	20	1	7s	7	NOUN
cana-3440	20	2	(	(	PUNCT
cana-3440	20	3	2025	2025	NUM
cana-3440	20	4	)	)	PUNCT
cana-3440	20	5	404	404	NUM
cana-3440	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	20	7	operations	operation	NOUN
cana-3440	20	8	research	research	NOUN
cana-3440	20	9	methods	method	NOUN
cana-3440	20	10	with	with	ADP
cana-3440	20	11	k	k	ADJ
cana-3440	20	12	-	-	PUNCT
cana-3440	20	13	means	means	NOUN
cana-3440	20	14	clustering	clustering	NOUN
cana-3440	20	15	.	.	PUNCT
cana-3440	21	1	this	this	DET
cana-3440	21	2	integration	integration	NOUN
cana-3440	21	3	helps	help	VERB
cana-3440	21	4	medical	medical	ADJ
cana-3440	21	5	professionals	professional	NOUN
cana-3440	21	6	make	make	VERB
cana-3440	21	7	data	data	NOUN
cana-3440	21	8	-	-	PUNCT
cana-3440	21	9	driven	drive	VERB
cana-3440	21	10	decisions	decision	NOUN
cana-3440	21	11	for	for	ADP
cana-3440	21	12	focused	focused	ADJ
cana-3440	21	13	interventions	intervention	NOUN
cana-3440	21	14	in	in	ADP
cana-3440	21	15	addition	addition	NOUN
cana-3440	21	16	to	to	ADP
cana-3440	21	17	classifying	classify	VERB
cana-3440	21	18	patients	patient	NOUN
cana-3440	21	19	according	accord	VERB
cana-3440	21	20	to	to	ADP
cana-3440	21	21	their	their	PRON
cana-3440	21	22	glycemic	glycemic	ADJ
cana-3440	21	23	control	control	NOUN
cana-3440	21	24	.	.	PUNCT
cana-3440	22	1	the	the	DET
cana-3440	22	2	potential	potential	NOUN
cana-3440	22	3	of	of	ADP
cana-3440	22	4	k	k	NOUN
cana-3440	22	5	-	-	PUNCT
cana-3440	22	6	means	means	NOUN
cana-3440	22	7	clustering	cluster	VERB
cana-3440	22	8	to	to	ADP
cana-3440	22	9	better	well	ADJ
cana-3440	22	10	patient	patient	ADJ
cana-3440	22	11	care	care	NOUN
cana-3440	22	12	outcomes	outcome	NOUN
cana-3440	22	13	,	,	PUNCT
cana-3440	22	14	encourage	encourage	VERB
cana-3440	22	15	effective	effective	ADJ
cana-3440	22	16	use	use	NOUN
cana-3440	22	17	of	of	ADP
cana-3440	22	18	medical	medical	ADJ
cana-3440	22	19	resources	resource	NOUN
cana-3440	22	20	,	,	PUNCT
cana-3440	22	21	and	and	CCONJ
cana-3440	22	22	improve	improve	VERB
cana-3440	22	23	individualized	individualized	ADJ
cana-3440	22	24	diabetes	diabetes	NOUN
cana-3440	22	25	control	control	NOUN
cana-3440	22	26	is	be	AUX
cana-3440	22	27	demonstrated	demonstrate	VERB
cana-3440	22	28	by	by	ADP
cana-3440	22	29	our	our	PRON
cana-3440	22	30	findings	finding	NOUN
cana-3440	22	31	.	.	PUNCT
cana-3440	23	1	with	with	ADP
cana-3440	23	2	this	this	DET
cana-3440	23	3	work	work	NOUN
cana-3440	23	4	,	,	PUNCT
cana-3440	23	5	we	we	PRON
cana-3440	23	6	hope	hope	VERB
cana-3440	23	7	to	to	PART
cana-3440	23	8	make	make	VERB
cana-3440	23	9	a	a	DET
cana-3440	23	10	significant	significant	ADJ
cana-3440	23	11	contribution	contribution	NOUN
cana-3440	23	12	to	to	ADP
cana-3440	23	13	the	the	DET
cana-3440	23	14	domains	domain	NOUN
cana-3440	23	15	of	of	ADP
cana-3440	23	16	healthcare	healthcare	NOUN
cana-3440	23	17	analytics	analytic	NOUN
cana-3440	23	18	and	and	CCONJ
cana-3440	23	19	operations	operation	NOUN
cana-3440	23	20	research	research	NOUN
cana-3440	23	21	by	by	ADP
cana-3440	23	22	showcasing	showcase	VERB
cana-3440	23	23	the	the	DET
cana-3440	23	24	effectiveness	effectiveness	NOUN
cana-3440	23	25	of	of	ADP
cana-3440	23	26	sophisticated	sophisticated	ADJ
cana-3440	23	27	clustering	clustering	ADJ
cana-3440	23	28	approaches	approach	NOUN
cana-3440	23	29	in	in	ADP
cana-3440	23	30	practical	practical	ADJ
cana-3440	23	31	clinical	clinical	ADJ
cana-3440	23	32	settings	setting	NOUN
cana-3440	23	33	.	.	PUNCT
cana-3440	24	1	our	our	PRON
cana-3440	24	2	study	study	NOUN
cana-3440	24	3	’s	’s	PART
cana-3440	24	4	findings	finding	NOUN
cana-3440	24	5	highlight	highlight	VERB
cana-3440	24	6	how	how	SCONJ
cana-3440	24	7	crucial	crucial	ADJ
cana-3440	24	8	data	data	NOUN
cana-3440	24	9	-	-	PUNCT
cana-3440	24	10	driven	drive	VERB
cana-3440	24	11	strategies	strategy	NOUN
cana-3440	24	12	are	be	AUX
cana-3440	24	13	to	to	ADP
cana-3440	24	14	treating	treat	VERB
cana-3440	24	15	chronic	chronic	ADJ
cana-3440	24	16	illnesses	illness	NOUN
cana-3440	24	17	and	and	CCONJ
cana-3440	24	18	improving	improve	VERB
cana-3440	24	19	healthcare	healthcare	NOUN
cana-3440	24	20	delivery	delivery	NOUN
cana-3440	24	21	.	.	PUNCT
cana-3440	25	1	in	in	ADP
cana-3440	25	2	operations	operation	NOUN
cana-3440	25	3	research	research	NOUN
cana-3440	25	4	,	,	PUNCT
cana-3440	25	5	k	k	X
cana-3440	25	6	-	-	PUNCT
cana-3440	25	7	means	mean	VERB
cana-3440	25	8	clustering	clustering	NOUN
cana-3440	25	9	is	be	AUX
cana-3440	25	10	a	a	DET
cana-3440	25	11	popular	popular	ADJ
cana-3440	25	12	unsupervised	unsupervised	ADJ
cana-3440	25	13	learning	learning	NOUN
cana-3440	25	14	approach	approach	NOUN
cana-3440	25	15	for	for	ADP
cana-3440	25	16	dividing	divide	VERB
cana-3440	25	17	data	datum	NOUN
cana-3440	25	18	into	into	ADP
cana-3440	25	19	discrete	discrete	ADJ
cana-3440	25	20	groups	group	NOUN
cana-3440	25	21	according	accord	VERB
cana-3440	25	22	to	to	ADP
cana-3440	25	23	similarity	similarity	NOUN
cana-3440	25	24	.	.	PUNCT
cana-3440	26	1	the	the	DET
cana-3440	26	2	work	work	NOUN
cana-3440	26	3	of	of	ADP
cana-3440	26	4	[	[	X
cana-3440	26	5	1	1	X
cana-3440	26	6	]	]	X
cana-3440	26	7	amor	amor	PROPN
cana-3440	26	8	et	et	PROPN
cana-3440	26	9	al	al	PROPN
cana-3440	26	10	.	.	PROPN
cana-3440	26	11	offers	offer	VERB
cana-3440	26	12	a	a	DET
cana-3440	26	13	thorough	thorough	ADJ
cana-3440	26	14	bibliometric	bibliometric	ADJ
cana-3440	26	15	examination	examination	NOUN
cana-3440	26	16	of	of	ADP
cana-3440	26	17	k	k	PROPN
cana-3440	26	18	-	-	PUNCT
cana-3440	26	19	means	mean	VERB
cana-3440	26	20	clustering	clustering	NOUN
cana-3440	26	21	and	and	CCONJ
cana-3440	26	22	other	other	ADJ
cana-3440	26	23	multicriteria	multicriteria	PROPN
cana-3440	26	24	decision	decision	NOUN
cana-3440	26	25	analysis	analysis	NOUN
cana-3440	26	26	(	(	PUNCT
cana-3440	26	27	mcda	mcda	NOUN
cana-3440	26	28	)	)	PUNCT
cana-3440	26	29	techniques	technique	NOUN
cana-3440	26	30	.	.	PUNCT
cana-3440	27	1	it	it	PRON
cana-3440	27	2	highlights	highlight	VERB
cana-3440	27	3	prospective	prospective	ADJ
cana-3440	27	4	study	study	NOUN
cana-3440	27	5	directions	direction	NOUN
cana-3440	27	6	,	,	PUNCT
cana-3440	27	7	maps	map	VERB
cana-3440	27	8	research	research	NOUN
cana-3440	27	9	patterns	pattern	NOUN
cana-3440	27	10	,	,	PUNCT
cana-3440	27	11	and	and	CCONJ
cana-3440	27	12	finds	find	VERB
cana-3440	27	13	important	important	ADJ
cana-3440	27	14	articles	article	NOUN
cana-3440	27	15	.	.	PUNCT
cana-3440	28	1	the	the	DET
cana-3440	28	2	paper	paper	NOUN
cana-3440	28	3	of	of	ADP
cana-3440	28	4	[	[	X
cana-3440	28	5	2	2	NUM
cana-3440	28	6	]	]	PUNCT
cana-3440	28	7	ahmed	ahmed	PROPN
cana-3440	28	8	et	et	PROPN
cana-3440	28	9	al	al	PROPN
cana-3440	28	10	.	.	PROPN
cana-3440	28	11	discusses	discuss	VERB
cana-3440	28	12	the	the	DET
cana-3440	28	13	k	k	NOUN
cana-3440	28	14	-	-	PUNCT
cana-3440	28	15	means	mean	NOUN
cana-3440	28	16	method	method	NOUN
cana-3440	28	17	’s	’s	PART
cana-3440	28	18	limits	limit	NOUN
cana-3440	28	19	and	and	CCONJ
cana-3440	28	20	current	current	ADJ
cana-3440	28	21	advancements	advancement	NOUN
cana-3440	28	22	while	while	SCONJ
cana-3440	28	23	providing	provide	VERB
cana-3440	28	24	an	an	DET
cana-3440	28	25	organized	organized	ADJ
cana-3440	28	26	summary	summary	NOUN
cana-3440	28	27	of	of	ADP
cana-3440	28	28	the	the	DET
cana-3440	28	29	research	research	NOUN
cana-3440	28	30	on	on	ADP
cana-3440	28	31	the	the	DET
cana-3440	28	32	algorithm	algorithm	NOUN
cana-3440	28	33	.	.	PUNCT
cana-3440	29	1	the	the	DET
cana-3440	29	2	efficiency	efficiency	NOUN
cana-3440	29	3	of	of	ADP
cana-3440	29	4	different	different	ADJ
cana-3440	29	5	kmeans	kmean	NOUN
cana-3440	29	6	variants	variant	NOUN
cana-3440	29	7	is	be	AUX
cana-3440	29	8	assessed	assess	VERB
cana-3440	29	9	by	by	ADP
cana-3440	29	10	experimental	experimental	ADJ
cana-3440	29	11	study	study	NOUN
cana-3440	29	12	.	.	PUNCT
cana-3440	30	1	the	the	DET
cana-3440	30	2	measurement	measurement	NOUN
cana-3440	30	3	errors	error	NOUN
cana-3440	30	4	in	in	ADP
cana-3440	30	5	k	k	NOUN
cana-3440	30	6	-	-	PUNCT
cana-3440	30	7	means	means	NOUN
cana-3440	30	8	clustering	clustering	NOUN
cana-3440	30	9	are	be	AUX
cana-3440	30	10	addressed	address	VERB
cana-3440	30	11	in	in	ADP
cana-3440	30	12	the	the	DET
cana-3440	30	13	study	study	NOUN
cana-3440	30	14	of	of	ADP
cana-3440	30	15	[	[	X
cana-3440	30	16	3	3	NUM
cana-3440	30	17	]	]	X
cana-3440	30	18	burgard	burgard	NOUN
cana-3440	30	19	et	et	PROPN
cana-3440	30	20	al	al	PROPN
cana-3440	30	21	.	.	PROPN
cana-3440	30	22	through	through	ADP
cana-3440	30	23	the	the	DET
cana-3440	30	24	use	use	NOUN
cana-3440	30	25	of	of	ADP
cana-3440	30	26	robust	robust	ADJ
cana-3440	30	27	optimization	optimization	NOUN
cana-3440	30	28	approaches	approach	NOUN
cana-3440	30	29	.	.	PUNCT
cana-3440	31	1	specifically	specifically	ADV
cana-3440	31	2	designed	design	VERB
cana-3440	31	3	decomposition	decomposition	NOUN
cana-3440	31	4	techniques	technique	NOUN
cana-3440	31	5	are	be	AUX
cana-3440	31	6	developed	develop	VERB
cana-3440	31	7	to	to	PART
cana-3440	31	8	protect	protect	VERB
cana-3440	31	9	clustering	clustering	ADJ
cana-3440	31	10	outcomes	outcome	NOUN
cana-3440	31	11	from	from	ADP
cana-3440	31	12	unstructured	unstructured	ADJ
cana-3440	31	13	mistakes	mistake	NOUN
cana-3440	31	14	.	.	PUNCT
cana-3440	32	1	the	the	DET
cana-3440	32	2	scalable	scalable	ADJ
cana-3440	32	3	and	and	CCONJ
cana-3440	32	4	economical	economical	ADJ
cana-3440	32	5	r	r	NOUN
cana-3440	32	6	-	-	PUNCT
cana-3440	32	7	k	k	ADJ
cana-3440	32	8	-	-	PUNCT
cana-3440	32	9	means	means	NOUN
cana-3440	32	10	algorithm	algorithm	NOUN
cana-3440	32	11	,	,	PUNCT
cana-3440	32	12	which	which	PRON
cana-3440	32	13	offers	offer	VERB
cana-3440	32	14	an	an	DET
cana-3440	32	15	ideal	ideal	ADJ
cana-3440	32	16	solution	solution	NOUN
cana-3440	32	17	for	for	ADP
cana-3440	32	18	improved	improved	ADJ
cana-3440	32	19	clustering	clustering	NOUN
cana-3440	32	20	of	of	ADP
cana-3440	32	21	large	large	ADJ
cana-3440	32	22	-	-	PUNCT
cana-3440	32	23	scale	scale	NOUN
cana-3440	32	24	high	high	ADJ
cana-3440	32	25	-	-	PUNCT
cana-3440	32	26	dimensional	dimensional	ADJ
cana-3440	32	27	datasets	dataset	NOUN
cana-3440	32	28	,	,	PUNCT
cana-3440	32	29	is	be	AUX
cana-3440	32	30	proposed	propose	VERB
cana-3440	32	31	in	in	ADP
cana-3440	32	32	the	the	DET
cana-3440	32	33	study	study	NOUN
cana-3440	32	34	of	of	ADP
cana-3440	32	35	gul	gul	PROPN
cana-3440	32	36	et	et	PROPN
cana-3440	32	37	al	al	PROPN
cana-3440	32	38	.	.	PUNCT
cana-3440	33	1	[	[	X
cana-3440	33	2	4	4	NUM
cana-3440	33	3	]	]	PUNCT
cana-3440	33	4	.	.	PUNCT
cana-3440	34	1	in	in	ADP
cana-3440	34	2	order	order	NOUN
cana-3440	34	3	to	to	PART
cana-3440	34	4	test	test	VERB
cana-3440	34	5	for	for	ADP
cana-3440	34	6	a	a	DET
cana-3440	34	7	difference	difference	NOUN
cana-3440	34	8	in	in	ADP
cana-3440	34	9	means	mean	NOUN
cana-3440	34	10	across	across	ADP
cana-3440	34	11	clusters	cluster	NOUN
cana-3440	34	12	found	find	VERB
cana-3440	34	13	using	use	VERB
cana-3440	34	14	kmeans	kmean	NOUN
cana-3440	34	15	clustering	cluster	VERB
cana-3440	34	16	,	,	PUNCT
cana-3440	34	17	the	the	DET
cana-3440	34	18	study	study	NOUN
cana-3440	34	19	of	of	ADP
cana-3440	34	20	yiqun	yiqun	PROPN
cana-3440	34	21	et	et	PROPN
cana-3440	34	22	al	al	PROPN
cana-3440	34	23	.	.	PUNCT
cana-3440	35	1	[	[	X
cana-3440	35	2	5	5	NUM
cana-3440	35	3	]	]	PUNCT
cana-3440	35	4	suggests	suggest	VERB
cana-3440	35	5	a	a	DET
cana-3440	35	6	p	p	NOUN
cana-3440	35	7	-	-	PUNCT
cana-3440	35	8	value	value	NOUN
cana-3440	35	9	that	that	PRON
cana-3440	35	10	depends	depend	VERB
cana-3440	35	11	on	on	ADP
cana-3440	35	12	all	all	DET
cana-3440	35	13	intermediate	intermediate	ADJ
cana-3440	35	14	clustering	clustering	ADJ
cana-3440	35	15	assignments	assignment	NOUN
cana-3440	35	16	.	.	PUNCT
cana-3440	36	1	the	the	DET
cana-3440	36	2	study	study	NOUN
cana-3440	36	3	of	of	ADP
cana-3440	36	4	zubair	zubair	PROPN
cana-3440	36	5	et	et	PROPN
cana-3440	36	6	al	al	PROPN
cana-3440	36	7	.	.	PUNCT
cana-3440	37	1	[	[	X
cana-3440	37	2	6	6	NUM
cana-3440	37	3	]	]	PUNCT
cana-3440	37	4	introduces	introduce	NOUN
cana-3440	37	5	an	an	DET
cana-3440	37	6	enhanced	enhanced	ADJ
cana-3440	37	7	k	k	NOUN
cana-3440	37	8	-	-	PUNCT
cana-3440	37	9	means	mean	VERB
cana-3440	37	10	clustering	clustering	NOUN
cana-3440	37	11	technique	technique	NOUN
cana-3440	37	12	that	that	PRON
cana-3440	37	13	effectively	effectively	ADV
cana-3440	37	14	determines	determine	VERB
cana-3440	37	15	ideal	ideal	ADJ
cana-3440	37	16	initial	initial	ADJ
cana-3440	37	17	centroids	centroid	NOUN
cana-3440	37	18	while	while	SCONJ
cana-3440	37	19	cutting	cut	VERB
cana-3440	37	20	down	down	ADP
cana-3440	37	21	on	on	ADP
cana-3440	37	22	execution	execution	NOUN
cana-3440	37	23	time	time	NOUN
cana-3440	37	24	and	and	CCONJ
cana-3440	37	25	iterations	iteration	NOUN
cana-3440	37	26	.	.	PUNCT
cana-3440	38	1	the	the	DET
cana-3440	38	2	work	work	NOUN
cana-3440	38	3	of	of	ADP
cana-3440	38	4	[	[	X
cana-3440	38	5	7	7	X
cana-3440	38	6	]	]	PUNCT
cana-3440	38	7	ikotun	ikotun	NOUN
cana-3440	38	8	et	et	PROPN
cana-3440	38	9	al	al	PROPN
cana-3440	38	10	.	.	PROPN
cana-3440	38	11	offers	offer	VERB
cana-3440	38	12	a	a	DET
cana-3440	38	13	thorough	thorough	ADJ
cana-3440	38	14	description	description	NOUN
cana-3440	38	15	and	and	CCONJ
cana-3440	38	16	categorization	categorization	NOUN
cana-3440	38	17	of	of	ADP
cana-3440	38	18	the	the	DET
cana-3440	38	19	k	k	NOUN
cana-3440	38	20	-	-	PUNCT
cana-3440	38	21	means	mean	VERB
cana-3440	38	22	clustering	cluster	VERB
cana-3440	38	23	algorithm	algorithm	NOUN
cana-3440	38	24	and	and	CCONJ
cana-3440	38	25	its	its	PRON
cana-3440	38	26	variants	variant	NOUN
cana-3440	38	27	.	.	PUNCT
cana-3440	39	1	in	in	ADP
cana-3440	39	2	addition	addition	NOUN
cana-3440	39	3	to	to	ADP
cana-3440	39	4	discussing	discuss	VERB
cana-3440	39	5	suggested	suggest	VERB
cana-3440	39	6	future	future	ADJ
cana-3440	39	7	research	research	NOUN
cana-3440	39	8	topics	topic	NOUN
cana-3440	39	9	,	,	PUNCT
cana-3440	39	10	the	the	DET
cana-3440	39	11	study	study	NOUN
cana-3440	39	12	reviews	review	VERB
cana-3440	39	13	current	current	ADJ
cana-3440	39	14	trends	trend	NOUN
cana-3440	39	15	,	,	PUNCT
cana-3440	39	16	identifies	identify	VERB
cana-3440	39	17	unresolved	unresolved	ADJ
cana-3440	39	18	concerns	concern	NOUN
cana-3440	39	19	and	and	CCONJ
cana-3440	39	20	challenges	challenge	NOUN
cana-3440	39	21	,	,	PUNCT
cana-3440	39	22	and	and	CCONJ
cana-3440	39	23	digs	dig	VERB
cana-3440	39	24	into	into	ADP
cana-3440	39	25	the	the	DET
cana-3440	39	26	history	history	NOUN
cana-3440	39	27	of	of	ADP
cana-3440	39	28	k	k	NOUN
cana-3440	39	29	-	-	PUNCT
cana-3440	39	30	means	mean	NOUN
cana-3440	39	31	.	.	PUNCT
cana-3440	40	1	in	in	ADP
cana-3440	40	2	the	the	DET
cana-3440	40	3	paper	paper	NOUN
cana-3440	40	4	,	,	PUNCT
cana-3440	40	5	[	[	X
cana-3440	40	6	8	8	NUM
cana-3440	40	7	]	]	X
cana-3440	40	8	sinaga	sinaga	NOUN
cana-3440	40	9	et	et	PROPN
cana-3440	40	10	al	al	PROPN
cana-3440	40	11	.	.	PROPN
cana-3440	40	12	identify	identify	VERB
cana-3440	40	13	the	the	DET
cana-3440	40	14	ideal	ideal	ADJ
cana-3440	40	15	number	number	NOUN
cana-3440	40	16	of	of	ADP
cana-3440	40	17	clusters	cluster	NOUN
cana-3440	40	18	and	and	CCONJ
cana-3440	40	19	create	create	VERB
cana-3440	40	20	an	an	DET
cana-3440	40	21	unsupervised	unsupervised	ADJ
cana-3440	40	22	learning	learning	NOUN
cana-3440	40	23	framework	framework	NOUN
cana-3440	40	24	for	for	ADP
cana-3440	40	25	the	the	DET
cana-3440	40	26	k	k	NOUN
cana-3440	40	27	-	-	PUNCT
cana-3440	40	28	means	means	NOUN
cana-3440	40	29	algorithm	algorithm	NOUN
cana-3440	40	30	that	that	PRON
cana-3440	40	31	does	do	AUX
cana-3440	40	32	not	not	PART
cana-3440	40	33	require	require	VERB
cana-3440	40	34	parameter	parameter	NOUN
cana-3440	40	35	selection	selection	NOUN
cana-3440	40	36	or	or	CCONJ
cana-3440	40	37	initializations	initialization	NOUN
cana-3440	40	38	.	.	PUNCT
cana-3440	41	1	the	the	DET
cana-3440	41	2	new	new	ADJ
cana-3440	41	3	unsupervised	unsupervised	ADJ
cana-3440	41	4	k	k	NOUN
cana-3440	41	5	-	-	PUNCT
cana-3440	41	6	means	means	NOUN
cana-3440	41	7	(	(	PUNCT
cana-3440	41	8	u	u	NOUN
cana-3440	41	9	-	-	ADJ
cana-3440	41	10	k	k	NOUN
cana-3440	41	11	-	-	PUNCT
cana-3440	41	12	means	means	NOUN
cana-3440	41	13	)	)	PUNCT
cana-3440	41	14	clustering	cluster	VERB
cana-3440	41	15	method	method	NOUN
cana-3440	41	16	finds	find	VERB
cana-3440	41	17	the	the	DET
cana-3440	41	18	ideal	ideal	ADJ
cana-3440	41	19	number	number	NOUN
cana-3440	41	20	of	of	ADP
cana-3440	41	21	groups	group	NOUN
cana-3440	41	22	on	on	ADP
cana-3440	41	23	its	its	PRON
cana-3440	41	24	own	own	ADJ
cana-3440	41	25	without	without	ADP
cana-3440	41	26	the	the	DET
cana-3440	41	27	need	need	NOUN
cana-3440	41	28	for	for	ADP
cana-3440	41	29	initialization	initialization	NOUN
cana-3440	41	30	or	or	CCONJ
cana-3440	41	31	parameter	parameter	NOUN
cana-3440	41	32	adjustment	adjustment	NOUN
cana-3440	41	33	.	.	PUNCT
cana-3440	42	1	the	the	DET
cana-3440	42	2	work	work	NOUN
cana-3440	42	3	also	also	ADV
cana-3440	42	4	examines	examine	VERB
cana-3440	42	5	how	how	SCONJ
cana-3440	42	6	computationally	computationally	ADV
cana-3440	42	7	hard	hard	ADJ
cana-3440	42	8	the	the	DET
cana-3440	42	9	suggested	suggested	ADJ
cana-3440	42	10	u	u	NOUN
cana-3440	42	11	-	-	ADJ
cana-3440	42	12	k	k	ADJ
cana-3440	42	13	-	-	PUNCT
cana-3440	42	14	means	means	NOUN
cana-3440	42	15	clustering	clustering	ADJ
cana-3440	42	16	algorithm	algorithm	NOUN
cana-3440	42	17	is	be	AUX
cana-3440	42	18	.	.	PUNCT
cana-3440	43	1	for	for	ADP
cana-3440	43	2	k	k	NOUN
cana-3440	43	3	-	-	PUNCT
cana-3440	43	4	means	means	NOUN
cana-3440	43	5	clustering	clustering	NOUN
cana-3440	43	6	,	,	PUNCT
cana-3440	43	7	two	two	NUM
cana-3440	43	8	new	new	ADJ
cana-3440	43	9	initialization	initialization	NOUN
cana-3440	43	10	techniques	technique	NOUN
cana-3440	43	11	are	be	AUX
cana-3440	43	12	presented	present	VERB
cana-3440	43	13	in	in	ADP
cana-3440	43	14	the	the	DET
cana-3440	43	15	study	study	NOUN
cana-3440	43	16	of	of	ADP
cana-3440	43	17	joonas	joonas	PROPN
cana-3440	43	18	et	et	PROPN
cana-3440	43	19	al	al	PROPN
cana-3440	43	20	.	.	PUNCT
cana-3440	44	1	[	[	X
cana-3440	44	2	9	9	NUM
cana-3440	44	3	]	]	PUNCT
cana-3440	44	4	.	.	PUNCT
cana-3440	45	1	the	the	DET
cana-3440	45	2	divide	divide	NOUN
cana-3440	45	3	-	-	PUNCT
cana-3440	45	4	and	and	CCONJ
cana-3440	45	5	-	-	PUNCT
cana-3440	45	6	conquer	conquer	NOUN
cana-3440	45	7	tactic	tactic	NOUN
cana-3440	45	8	used	use	VERB
cana-3440	45	9	in	in	ADP
cana-3440	45	10	both	both	DET
cana-3440	45	11	approaches	approach	NOUN
cana-3440	45	12	is	be	AUX
cana-3440	45	13	specific	specific	ADJ
cana-3440	45	14	to	to	ADP
cana-3440	45	15	the	the	DET
cana-3440	45	16	k	k	NOUN
cana-3440	45	17	-	-	PUNCT
cana-3440	45	18	means	mean	VERB
cana-3440	45	19	initialization	initialization	NOUN
cana-3440	45	20	procedure	procedure	NOUN
cana-3440	45	21	.	.	PUNCT
cana-3440	46	1	the	the	DET
cana-3440	46	2	second	second	ADJ
cana-3440	46	3	approach	approach	NOUN
cana-3440	46	4	additionally	additionally	ADV
cana-3440	46	5	makes	make	VERB
cana-3440	46	6	use	use	NOUN
cana-3440	46	7	of	of	ADP
cana-3440	46	8	several	several	ADJ
cana-3440	46	9	lower	low	ADJ
cana-3440	46	10	-	-	PUNCT
cana-3440	46	11	dimensional	dimensional	ADJ
cana-3440	46	12	subspaces	subspace	NOUN
cana-3440	46	13	created	create	VERB
cana-3440	46	14	for	for	ADP
cana-3440	46	15	initialization	initialization	NOUN
cana-3440	46	16	using	use	VERB
cana-3440	46	17	the	the	DET
cana-3440	46	18	random	random	ADJ
cana-3440	46	19	projection	projection	NOUN
cana-3440	46	20	technique	technique	NOUN
cana-3440	46	21	.	.	PUNCT
cana-3440	47	1	amorim	amorim	PROPN
cana-3440	47	2	et	et	PROPN
cana-3440	47	3	al	al	PROPN
cana-3440	47	4	.	.	PROPN
cana-3440	47	5	’s	’s	PART
cana-3440	48	1	[	[	X
cana-3440	48	2	10	10	NUM
cana-3440	48	3	]	]	X
cana-3440	48	4	fundamental	fundamental	ADJ
cana-3440	48	5	claim	claim	NOUN
cana-3440	48	6	is	be	AUX
cana-3440	48	7	that	that	SCONJ
cana-3440	48	8	k	k	NOUN
cana-3440	48	9	-	-	PUNCT
cana-3440	48	10	means	mean	VERB
cana-3440	48	11	converges	converge	NOUN
cana-3440	48	12	with	with	ADP
cana-3440	48	13	a	a	DET
cana-3440	48	14	highly	highly	ADV
cana-3440	48	15	informative	informative	ADJ
cana-3440	48	16	average	average	ADJ
cana-3440	48	17	file:///c:/users	file:///c:/user	NOUN
cana-3440	48	18	/	/	SYM
cana-3440	48	19	my%20pc	my%20pc	NOUN
cana-3440	48	20	/	/	SYM
cana-3440	48	21	downloads	download	NOUN
cana-3440	48	22	/	/	SYM
cana-3440	48	23	k	k	ADJ
cana-3440	48	24	-	-	PUNCT
cana-3440	48	25	means.docx%23_bookmark0	means.docx%23_bookmark0	NOUN
cana-3440	48	26	file:///c:/users	file:///c:/user	NOUN
cana-3440	48	27	/	/	SYM
cana-3440	48	28	my%20pc	my%20pc	NOUN
cana-3440	48	29	/	/	SYM
cana-3440	48	30	downloads	download	NOUN
cana-3440	48	31	/	/	SYM
cana-3440	48	32	k	k	ADJ
cana-3440	48	33	-	-	PUNCT
cana-3440	48	34	means.docx%23_bookmark1	means.docx%23_bookmark1	NOUN
cana-3440	48	35	file:///c:/users	file:///c:/user	NOUN
cana-3440	48	36	/	/	SYM
cana-3440	48	37	my%20pc	my%20pc	NOUN
cana-3440	48	38	/	/	SYM
cana-3440	48	39	downloads	download	NOUN
cana-3440	48	40	/	/	SYM
cana-3440	48	41	k	k	ADJ
cana-3440	48	42	-	-	PUNCT
cana-3440	48	43	means.docx%23_bookmark2	means.docx%23_bookmark2	VERB
cana-3440	48	44	file:///c:/users	file:///c:/users	PROPN
cana-3440	48	45	/	/	SYM
cana-3440	48	46	my%20pc	my%20pc	NOUN
cana-3440	48	47	/	/	SYM
cana-3440	48	48	downloads	download	NOUN
cana-3440	48	49	/	/	SYM
cana-3440	48	50	k	k	ADJ
cana-3440	48	51	-	-	ADJ
cana-3440	48	52	means.docx%23_bookmark3	means.docx%23_bookmark3	ADJ
cana-3440	48	53	file:///c:/users	file:///c:/users	PROPN
cana-3440	48	54	/	/	SYM
cana-3440	48	55	my%20pc	my%20pc	NOUN
cana-3440	48	56	/	/	SYM
cana-3440	48	57	downloads	download	NOUN
cana-3440	48	58	/	/	SYM
cana-3440	48	59	k	k	ADJ
cana-3440	48	60	-	-	ADJ
cana-3440	48	61	means.docx%23_bookmark4	means.docx%23_bookmark4	ADJ
cana-3440	48	62	file:///c:/users	file:///c:/users	PROPN
cana-3440	48	63	/	/	SYM
cana-3440	48	64	my%20pc	my%20pc	NOUN
cana-3440	48	65	/	/	SYM
cana-3440	48	66	downloads	download	NOUN
cana-3440	48	67	/	/	SYM
cana-3440	48	68	k	k	ADJ
cana-3440	48	69	-	-	PUNCT
cana-3440	48	70	means.docx%23_bookmark5	means.docx%23_bookmark5	ADJ
cana-3440	48	71	file:///c:/users	file:///c:/user	NOUN
cana-3440	48	72	/	/	SYM
cana-3440	48	73	my%20pc	my%20pc	NOUN
cana-3440	48	74	/	/	SYM
cana-3440	48	75	downloads	download	NOUN
cana-3440	48	76	/	/	SYM
cana-3440	48	77	k	k	NOUN
cana-3440	48	78	-	-	PUNCT
cana-3440	48	79	means.docx%23_bookmark6	means.docx%23_bookmark6	NOUN
cana-3440	48	80	file:///c:/users	file:///c:/user	NOUN
cana-3440	48	81	/	/	SYM
cana-3440	48	82	my%20pc	my%20pc	NOUN
cana-3440	48	83	/	/	SYM
cana-3440	48	84	downloads	download	NOUN
cana-3440	48	85	/	/	SYM
cana-3440	48	86	k	k	NOUN
cana-3440	48	87	-	-	PUNCT
cana-3440	48	88	means.docx%23_bookmark7	means.docx%23_bookmark7	ADJ
cana-3440	48	89	file:///c:/users	file:///c:/users	PROPN
cana-3440	48	90	/	/	SYM
cana-3440	48	91	my%20pc	my%20pc	NOUN
cana-3440	48	92	/	/	SYM
cana-3440	48	93	downloads	download	NOUN
cana-3440	48	94	/	/	SYM
cana-3440	48	95	k	k	ADJ
cana-3440	48	96	-	-	ADJ
cana-3440	48	97	means.docx%23_bookmark8	means.docx%23_bookmark8	ADJ
cana-3440	48	98	file:///c:/users	file:///c:/user	NOUN
cana-3440	48	99	/	/	SYM
cana-3440	48	100	my%20pc	my%20pc	NOUN
cana-3440	48	101	/	/	SYM
cana-3440	48	102	downloads	download	NOUN
cana-3440	48	103	/	/	SYM
cana-3440	48	104	k	k	NOUN
cana-3440	48	105	-	-	PUNCT
cana-3440	48	106	means.docx%23_bookmark9	means.docx%23_bookmark9	NOUN
cana-3440	48	107	communications	communication	NOUN
cana-3440	48	108	on	on	ADP
cana-3440	48	109	applied	apply	VERB
cana-3440	48	110	nonlinear	nonlinear	ADJ
cana-3440	48	111	analysis	analysis	NOUN
cana-3440	48	112	issn	issn	NOUN
cana-3440	48	113	:	:	PUNCT
cana-3440	48	114	1074	1074	NUM
cana-3440	48	115	-	-	PUNCT
cana-3440	48	116	133x	133x	NUM
cana-3440	48	117	vol	vol	NOUN
cana-3440	48	118	32	32	NUM
cana-3440	48	119	no	no	NOUN
cana-3440	48	120	.	.	PUNCT
cana-3440	49	1	7s	7	NOUN
cana-3440	49	2	(	(	PUNCT
cana-3440	49	3	2025	2025	NUM
cana-3440	49	4	)	)	PUNCT
cana-3440	49	5	405	405	NUM
cana-3440	49	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	49	7	number	number	NOUN
cana-3440	49	8	of	of	ADP
cana-3440	49	9	iterations	iteration	NOUN
cana-3440	49	10	,	,	PUNCT
cana-3440	49	11	represented	represent	VERB
cana-3440	49	12	by	by	ADP
cana-3440	49	13	τ	τ	PROPN
cana-3440	49	14	.	.	PUNCT
cana-3440	50	1	they	they	PRON
cana-3440	50	2	illustrate	illustrate	VERB
cana-3440	50	3	this	this	DET
cana-3440	50	4	finding	finding	NOUN
cana-3440	50	5	’s	’s	PART
cana-3440	50	6	importance	importance	NOUN
cana-3440	50	7	with	with	ADP
cana-3440	50	8	two	two	NUM
cana-3440	50	9	real	real	ADJ
cana-3440	50	10	-	-	PUNCT
cana-3440	50	11	world	world	NOUN
cana-3440	50	12	examples	example	NOUN
cana-3440	50	13	.	.	PUNCT
cana-3440	51	1	first	first	ADV
cana-3440	51	2	,	,	PUNCT
cana-3440	51	3	they	they	PRON
cana-3440	51	4	describe	describe	VERB
cana-3440	51	5	the	the	DET
cana-3440	51	6	use	use	NOUN
cana-3440	51	7	of	of	ADP
cana-3440	51	8	τ	τ	PROPN
cana-3440	51	9	to	to	PART
cana-3440	51	10	improve	improve	VERB
cana-3440	51	11	on	on	ADP
cana-3440	51	12	current	current	ADJ
cana-3440	51	13	feature	feature	NOUN
cana-3440	51	14	selection	selection	NOUN
cana-3440	51	15	techniques	technique	NOUN
cana-3440	51	16	or	or	CCONJ
cana-3440	51	17	to	to	PART
cana-3440	51	18	find	find	VERB
cana-3440	51	19	characteristics	characteristic	NOUN
cana-3440	51	20	in	in	ADP
cana-3440	51	21	a	a	DET
cana-3440	51	22	dataset	dataset	NOUN
cana-3440	51	23	that	that	PRON
cana-3440	51	24	are	be	AUX
cana-3440	51	25	not	not	PART
cana-3440	51	26	relevant	relevant	ADJ
cana-3440	51	27	.	.	PUNCT
cana-3440	52	1	furthermore	furthermore	ADV
cana-3440	52	2	,	,	PUNCT
cana-3440	52	3	they	they	PRON
cana-3440	52	4	find	find	VERB
cana-3440	52	5	a	a	DET
cana-3440	52	6	substantial	substantial	ADJ
cana-3440	52	7	correlation	correlation	NOUN
cana-3440	52	8	between	between	ADP
cana-3440	52	9	τ	τ	PROPN
cana-3440	52	10	and	and	CCONJ
cana-3440	52	11	the	the	DET
cana-3440	52	12	number	number	NOUN
cana-3440	52	13	of	of	ADP
cana-3440	52	14	clusters	cluster	NOUN
cana-3440	52	15	in	in	ADP
cana-3440	52	16	a	a	DET
cana-3440	52	17	dataset	dataset	NOUN
cana-3440	52	18	,	,	PUNCT
cana-3440	52	19	which	which	PRON
cana-3440	52	20	can	can	AUX
cana-3440	52	21	be	be	AUX
cana-3440	52	22	used	use	VERB
cana-3440	52	23	to	to	PART
cana-3440	52	24	estimate	estimate	VERB
cana-3440	52	25	the	the	DET
cana-3440	52	26	actual	actual	ADJ
cana-3440	52	27	number	number	NOUN
cana-3440	52	28	of	of	ADP
cana-3440	52	29	clusters	cluster	NOUN
cana-3440	52	30	.	.	PUNCT
cana-3440	53	1	in	in	ADP
cana-3440	53	2	the	the	DET
cana-3440	53	3	work	work	NOUN
cana-3440	53	4	of	of	ADP
cana-3440	53	5	[	[	X
cana-3440	53	6	11	11	NUM
cana-3440	53	7	]	]	X
cana-3440	53	8	fahim	fahim	PROPN
cana-3440	53	9	,	,	PUNCT
cana-3440	53	10	a	a	DET
cana-3440	53	11	technique	technique	NOUN
cana-3440	53	12	for	for	ADP
cana-3440	53	13	determining	determine	VERB
cana-3440	53	14	near	near	ADJ
cana-3440	53	15	-	-	PUNCT
cana-3440	53	16	optimal	optimal	ADJ
cana-3440	53	17	initial	initial	ADJ
cana-3440	53	18	centers	center	NOUN
cana-3440	53	19	and	and	CCONJ
cana-3440	53	20	k	k	PROPN
cana-3440	53	21	values	value	NOUN
cana-3440	53	22	is	be	AUX
cana-3440	53	23	presented	present	VERB
cana-3440	53	24	.	.	PUNCT
cana-3440	54	1	the	the	DET
cana-3440	54	2	preprocessing	preprocessing	NOUN
cana-3440	54	3	stage	stage	NOUN
cana-3440	54	4	in	in	ADP
cana-3440	54	5	the	the	DET
cana-3440	54	6	suggested	suggest	VERB
cana-3440	54	7	method	method	NOUN
cana-3440	54	8	establishes	establish	VERB
cana-3440	54	9	the	the	DET
cana-3440	54	10	initial	initial	ADJ
cana-3440	54	11	centers	center	NOUN
cana-3440	54	12	and	and	CCONJ
cana-3440	54	13	the	the	DET
cana-3440	54	14	number	number	NOUN
cana-3440	54	15	of	of	ADP
cana-3440	54	16	clusters	cluster	NOUN
cana-3440	54	17	before	before	ADP
cana-3440	54	18	the	the	DET
cana-3440	54	19	k	k	PROPN
cana-3440	54	20	-	-	PUNCT
cana-3440	54	21	means	means	NOUN
cana-3440	54	22	algorithm	algorithm	NOUN
cana-3440	54	23	is	be	AUX
cana-3440	54	24	applied	apply	VERB
cana-3440	54	25	.	.	PUNCT
cana-3440	55	1	it	it	PRON
cana-3440	55	2	computes	compute	VERB
cana-3440	55	3	the	the	DET
cana-3440	55	4	mean	mean	ADJ
cana-3440	55	5	values	value	NOUN
cana-3440	55	6	for	for	ADP
cana-3440	55	7	objects	object	NOUN
cana-3440	55	8	inside	inside	ADP
cana-3440	55	9	each	each	DET
cana-3440	55	10	cluster	cluster	NOUN
cana-3440	55	11	to	to	PART
cana-3440	55	12	guide	guide	VERB
cana-3440	55	13	the	the	DET
cana-3440	55	14	k	k	NOUN
cana-3440	55	15	-	-	PUNCT
cana-3440	55	16	means	mean	NOUN
cana-3440	55	17	process	process	NOUN
cana-3440	55	18	after	after	ADP
cana-3440	55	19	using	use	VERB
cana-3440	55	20	a	a	DET
cana-3440	55	21	density	density	NOUN
cana-3440	55	22	-	-	PUNCT
cana-3440	55	23	based	base	VERB
cana-3440	55	24	technique	technique	NOUN
cana-3440	55	25	to	to	PART
cana-3440	55	26	create	create	VERB
cana-3440	55	27	initial	initial	ADJ
cana-3440	55	28	clusters	cluster	NOUN
cana-3440	55	29	without	without	ADP
cana-3440	55	30	knowing	know	VERB
cana-3440	55	31	the	the	DET
cana-3440	55	32	number	number	NOUN
cana-3440	55	33	of	of	ADP
cana-3440	55	34	clusters	cluster	NOUN
cana-3440	55	35	beforehand	beforehand	ADV
cana-3440	55	36	.	.	PUNCT
cana-3440	56	1	muhima	muhima	PROPN
cana-3440	56	2	et	et	PROPN
cana-3440	56	3	al	al	PROPN
cana-3440	56	4	.	.	PUNCT
cana-3440	57	1	[	[	X
cana-3440	57	2	12	12	NUM
cana-3440	57	3	]	]	PUNCT
cana-3440	57	4	used	use	VERB
cana-3440	57	5	a	a	DET
cana-3440	57	6	hybrid	hybrid	ADJ
cana-3440	57	7	genetic	genetic	ADJ
cana-3440	57	8	algorithm	algorithm	NOUN
cana-3440	57	9	polygamy	polygamy	NOUN
cana-3440	57	10	with	with	ADP
cana-3440	57	11	k	k	X
cana-3440	57	12	-	-	PUNCT
cana-3440	57	13	means	means	NOUN
cana-3440	57	14	(	(	PUNCT
cana-3440	57	15	gap	gap	NOUN
cana-3440	57	16	k	k	NOUN
cana-3440	57	17	-	-	PUNCT
cana-3440	57	18	means	mean	NOUN
cana-3440	57	19	)	)	PUNCT
cana-3440	57	20	for	for	ADP
cana-3440	57	21	grouping	group	VERB
cana-3440	57	22	hotspot	hotspot	NOUN
cana-3440	57	23	data	datum	NOUN
cana-3440	57	24	in	in	ADP
cana-3440	57	25	the	the	DET
cana-3440	57	26	investigation	investigation	NOUN
cana-3440	57	27	.	.	PUNCT
cana-3440	58	1	the	the	DET
cana-3440	58	2	initial	initial	ADJ
cana-3440	58	3	centroid	centroid	NOUN
cana-3440	58	4	of	of	ADP
cana-3440	58	5	k	k	PROPN
cana-3440	58	6	-	-	PUNCT
cana-3440	58	7	means	mean	NOUN
cana-3440	58	8	was	be	AUX
cana-3440	58	9	found	find	VERB
cana-3440	58	10	using	use	VERB
cana-3440	58	11	the	the	DET
cana-3440	58	12	ga	ga	PROPN
cana-3440	58	13	polygamy	polygamy	NOUN
cana-3440	58	14	,	,	PUNCT
cana-3440	58	15	which	which	PRON
cana-3440	58	16	addressed	address	VERB
cana-3440	58	17	its	its	PRON
cana-3440	58	18	sensitivity	sensitivity	NOUN
cana-3440	58	19	and	and	CCONJ
cana-3440	58	20	sped	speed	VERB
cana-3440	58	21	up	up	ADP
cana-3440	58	22	the	the	DET
cana-3440	58	23	process	process	NOUN
cana-3440	58	24	of	of	ADP
cana-3440	58	25	finding	find	VERB
cana-3440	58	26	the	the	DET
cana-3440	58	27	best	good	ADJ
cana-3440	58	28	answer	answer	NOUN
cana-3440	58	29	.	.	PUNCT
cana-3440	59	1	in	in	ADP
cana-3440	59	2	this	this	DET
cana-3440	59	3	paper	paper	NOUN
cana-3440	59	4	,	,	PUNCT
cana-3440	59	5	it	it	PRON
cana-3440	59	6	stems	stem	VERB
cana-3440	59	7	from	from	ADP
cana-3440	59	8	several	several	ADJ
cana-3440	59	9	advanced	advanced	ADJ
cana-3440	59	10	mathematical	mathematical	ADJ
cana-3440	59	11	elements	element	NOUN
cana-3440	59	12	.	.	PUNCT
cana-3440	60	1	•	•	INTJ
cana-3440	60	2	it	it	PRON
cana-3440	60	3	integrates	integrate	VERB
cana-3440	60	4	a	a	DET
cana-3440	60	5	comprehensive	comprehensive	ADJ
cana-3440	60	6	mathematical	mathematical	ADJ
cana-3440	60	7	analysis	analysis	NOUN
cana-3440	60	8	,	,	PUNCT
cana-3440	60	9	including	include	VERB
cana-3440	60	10	the	the	DET
cana-3440	60	11	derivation	derivation	NOUN
cana-3440	60	12	of	of	ADP
cana-3440	60	13	the	the	DET
cana-3440	60	14	withincluster	withincluster	ADJ
cana-3440	60	15	sum	sum	NOUN
cana-3440	60	16	of	of	ADP
cana-3440	60	17	squares	square	NOUN
cana-3440	60	18	(	(	PUNCT
cana-3440	60	19	wcss	wcss	ADJ
cana-3440	60	20	)	)	PUNCT
cana-3440	60	21	and	and	CCONJ
cana-3440	60	22	its	its	PRON
cana-3440	60	23	implications	implication	NOUN
cana-3440	60	24	for	for	ADP
cana-3440	60	25	clustering	cluster	VERB
cana-3440	60	26	quality	quality	NOUN
cana-3440	60	27	.	.	PUNCT
cana-3440	61	1	the	the	DET
cana-3440	61	2	incorporation	incorporation	NOUN
cana-3440	61	3	of	of	ADP
cana-3440	61	4	rigorous	rigorous	ADJ
cana-3440	61	5	evaluation	evaluation	NOUN
cana-3440	61	6	metrics	metric	NOUN
cana-3440	61	7	,	,	PUNCT
cana-3440	61	8	such	such	ADJ
cana-3440	61	9	as	as	ADP
cana-3440	61	10	the	the	DET
cana-3440	61	11	silhouette	silhouette	NOUN
cana-3440	61	12	score	score	NOUN
cana-3440	61	13	,	,	PUNCT
cana-3440	61	14	provides	provide	VERB
cana-3440	61	15	a	a	DET
cana-3440	61	16	quantitative	quantitative	ADJ
cana-3440	61	17	measure	measure	NOUN
cana-3440	61	18	of	of	ADP
cana-3440	61	19	cluster	cluster	NOUN
cana-3440	61	20	cohesion	cohesion	NOUN
cana-3440	61	21	and	and	CCONJ
cana-3440	61	22	separation	separation	NOUN
cana-3440	61	23	.	.	PUNCT
cana-3440	62	1	this	this	DET
cana-3440	62	2	metric	metric	ADJ
cana-3440	62	3	not	not	PART
cana-3440	62	4	only	only	ADV
cana-3440	62	5	validates	validate	VERB
cana-3440	62	6	the	the	DET
cana-3440	62	7	clustering	clustering	ADJ
cana-3440	62	8	performance	performance	NOUN
cana-3440	62	9	but	but	CCONJ
cana-3440	62	10	also	also	ADV
cana-3440	62	11	offers	offer	VERB
cana-3440	62	12	a	a	DET
cana-3440	62	13	deeper	deep	ADJ
cana-3440	62	14	understanding	understanding	NOUN
cana-3440	62	15	of	of	ADP
cana-3440	62	16	the	the	DET
cana-3440	62	17	clustering	clustering	ADJ
cana-3440	62	18	process	process	NOUN
cana-3440	62	19	.	.	PUNCT
cana-3440	63	1	the	the	DET
cana-3440	63	2	use	use	NOUN
cana-3440	63	3	of	of	ADP
cana-3440	63	4	both	both	DET
cana-3440	63	5	3d	3d	NOUN
cana-3440	63	6	and	and	CCONJ
cana-3440	63	7	2d	2d	NOUN
cana-3440	63	8	scatter	scatter	NOUN
cana-3440	63	9	plots	plot	NOUN
cana-3440	63	10	,	,	PUNCT
cana-3440	63	11	along	along	ADP
cana-3440	63	12	with	with	ADP
cana-3440	63	13	the	the	DET
cana-3440	63	14	inclusion	inclusion	NOUN
cana-3440	63	15	of	of	ADP
cana-3440	63	16	centroids	centroid	NOUN
cana-3440	63	17	,	,	PUNCT
cana-3440	63	18	demonstrates	demonstrate	VERB
cana-3440	63	19	innovative	innovative	ADJ
cana-3440	63	20	geometric	geometric	ADJ
cana-3440	63	21	representations	representation	NOUN
cana-3440	63	22	that	that	PRON
cana-3440	63	23	enhance	enhance	VERB
cana-3440	63	24	the	the	DET
cana-3440	63	25	interpretability	interpretability	NOUN
cana-3440	63	26	of	of	ADP
cana-3440	63	27	the	the	DET
cana-3440	63	28	clustering	clustering	ADJ
cana-3440	63	29	results	result	NOUN
cana-3440	63	30	.	.	PUNCT
cana-3440	64	1	•	•	NOUN
cana-3440	64	2	the	the	DET
cana-3440	64	3	paper	paper	NOUN
cana-3440	64	4	discusses	discuss	VERB
cana-3440	64	5	the	the	DET
cana-3440	64	6	computational	computational	ADJ
cana-3440	64	7	complexity	complexity	NOUN
cana-3440	64	8	of	of	ADP
cana-3440	64	9	the	the	DET
cana-3440	64	10	k	k	NOUN
cana-3440	64	11	-	-	PUNCT
cana-3440	64	12	means	means	NOUN
cana-3440	64	13	algorithm	algorithm	NOUN
cana-3440	64	14	,	,	PUNCT
cana-3440	64	15	expressed	express	VERB
cana-3440	64	16	as	as	ADP
cana-3440	64	17	o(n	o(n	PROPN
cana-3440	64	18	,	,	PUNCT
cana-3440	64	19	k	k	PROPN
cana-3440	64	20	,	,	PUNCT
cana-3440	64	21	t	t	PROPN
cana-3440	64	22	,	,	PUNCT
cana-3440	64	23	d	d	PROPN
cana-3440	64	24	)	)	PUNCT
cana-3440	64	25	,	,	PUNCT
cana-3440	64	26	highlighting	highlight	VERB
cana-3440	64	27	its	its	PRON
cana-3440	64	28	efficiency	efficiency	NOUN
cana-3440	64	29	and	and	CCONJ
cana-3440	64	30	scalability	scalability	NOUN
cana-3440	64	31	.	.	PUNCT
cana-3440	65	1	by	by	ADP
cana-3440	65	2	addressing	address	VERB
cana-3440	65	3	practical	practical	ADJ
cana-3440	65	4	applications	application	NOUN
cana-3440	65	5	and	and	CCONJ
cana-3440	65	6	limitations	limitation	NOUN
cana-3440	65	7	,	,	PUNCT
cana-3440	65	8	such	such	ADJ
cana-3440	65	9	as	as	ADP
cana-3440	65	10	the	the	DET
cana-3440	65	11	algorithm	algorithm	NOUN
cana-3440	65	12	’s	’s	PART
cana-3440	65	13	sensitivity	sensitivity	NOUN
cana-3440	65	14	to	to	ADP
cana-3440	65	15	initial	initial	ADJ
cana-3440	65	16	centroid	centroid	NOUN
cana-3440	65	17	placement	placement	NOUN
cana-3440	65	18	and	and	CCONJ
cana-3440	65	19	assumptions	assumption	NOUN
cana-3440	65	20	of	of	ADP
cana-3440	65	21	spherical	spherical	ADJ
cana-3440	65	22	clusters	cluster	NOUN
cana-3440	65	23	,	,	PUNCT
cana-3440	65	24	our	our	PRON
cana-3440	65	25	research	research	NOUN
cana-3440	65	26	bridges	bridge	NOUN
cana-3440	65	27	mathematical	mathematical	ADJ
cana-3440	65	28	theory	theory	NOUN
cana-3440	65	29	and	and	CCONJ
cana-3440	65	30	practical	practical	ADJ
cana-3440	65	31	utility	utility	NOUN
cana-3440	65	32	.	.	PUNCT
cana-3440	66	1	•	•	NUM
cana-3440	66	2	the	the	DET
cana-3440	66	3	suggestions	suggestion	NOUN
cana-3440	66	4	for	for	ADP
cana-3440	66	5	future	future	ADJ
cana-3440	66	6	research	research	NOUN
cana-3440	66	7	directions	direction	NOUN
cana-3440	66	8	,	,	PUNCT
cana-3440	66	9	including	include	VERB
cana-3440	66	10	exploring	explore	VERB
cana-3440	66	11	alternative	alternative	ADJ
cana-3440	66	12	distance	distance	NOUN
cana-3440	66	13	metrics	metric	NOUN
cana-3440	66	14	and	and	CCONJ
cana-3440	66	15	incorporating	incorporate	VERB
cana-3440	66	16	additional	additional	ADJ
cana-3440	66	17	features	feature	NOUN
cana-3440	66	18	,	,	PUNCT
cana-3440	66	19	further	far	ADV
cana-3440	66	20	showcase	showcase	VERB
cana-3440	66	21	our	our	PRON
cana-3440	66	22	forwardthinking	forwardthinking	NOUN
cana-3440	66	23	approach	approach	NOUN
cana-3440	66	24	,	,	PUNCT
cana-3440	66	25	paving	pave	VERB
cana-3440	66	26	the	the	DET
cana-3440	66	27	way	way	NOUN
cana-3440	66	28	for	for	ADP
cana-3440	66	29	advancements	advancement	NOUN
cana-3440	66	30	in	in	ADP
cana-3440	66	31	clustering	clustering	ADJ
cana-3440	66	32	methodologies	methodology	NOUN
cana-3440	66	33	.	.	PUNCT
cana-3440	67	1	this	this	DET
cana-3440	67	2	comprehensive	comprehensive	ADJ
cana-3440	67	3	and	and	CCONJ
cana-3440	67	4	balanced	balanced	ADJ
cana-3440	67	5	view	view	NOUN
cana-3440	67	6	adds	add	VERB
cana-3440	67	7	significant	significant	ADJ
cana-3440	67	8	value	value	NOUN
cana-3440	67	9	to	to	ADP
cana-3440	67	10	our	our	PRON
cana-3440	67	11	research	research	NOUN
cana-3440	67	12	,	,	PUNCT
cana-3440	67	13	making	make	VERB
cana-3440	67	14	it	it	PRON
cana-3440	67	15	a	a	DET
cana-3440	67	16	noteworthy	noteworthy	ADJ
cana-3440	67	17	contribution	contribution	NOUN
cana-3440	67	18	to	to	ADP
cana-3440	67	19	the	the	DET
cana-3440	67	20	field	field	NOUN
cana-3440	67	21	.	.	PUNCT
cana-3440	68	1	2	2	NUM
cana-3440	68	2	mathematical	mathematical	ADJ
cana-3440	68	3	preliminaries	preliminary	NOUN
cana-3440	68	4	2.1	2.1	NUM
cana-3440	68	5	in	in	ADP
cana-3440	68	6	terms	term	NOUN
cana-3440	68	7	of	of	ADP
cana-3440	68	8	operations	operation	NOUN
cana-3440	68	9	research	research	NOUN
cana-3440	68	10	in	in	ADP
cana-3440	68	11	order	order	NOUN
cana-3440	68	12	to	to	PART
cana-3440	68	13	guarantee	guarantee	VERB
cana-3440	68	14	the	the	DET
cana-3440	68	15	usefulness	usefulness	NOUN
cana-3440	68	16	of	of	ADP
cana-3440	68	17	k	k	NOUN
cana-3440	68	18	-	-	PUNCT
cana-3440	68	19	means	means	NOUN
cana-3440	68	20	clustering	clustering	NOUN
cana-3440	68	21	in	in	ADP
cana-3440	68	22	operations	operation	NOUN
cana-3440	68	23	research	research	NOUN
cana-3440	68	24	,	,	PUNCT
cana-3440	68	25	especially	especially	ADV
cana-3440	68	26	in	in	ADP
cana-3440	68	27	the	the	DET
cana-3440	68	28	healthcare	healthcare	NOUN
cana-3440	68	29	industry	industry	NOUN
cana-3440	68	30	for	for	ADP
cana-3440	68	31	managing	manage	VERB
cana-3440	68	32	diabetic	diabetic	ADJ
cana-3440	68	33	patients	patient	NOUN
cana-3440	68	34	,	,	PUNCT
cana-3440	68	35	we	we	PRON
cana-3440	68	36	incorporate	incorporate	VERB
cana-3440	68	37	further	further	ADJ
cana-3440	68	38	optimization	optimization	NOUN
cana-3440	68	39	methods	method	NOUN
cana-3440	68	40	:	:	PUNCT
cana-3440	68	41	objective	objective	NOUN
cana-3440	68	42	:	:	PUNCT
cana-3440	68	43	determine	determine	VERB
cana-3440	68	44	the	the	DET
cana-3440	68	45	optimal	optimal	ADJ
cana-3440	68	46	number	number	NOUN
cana-3440	68	47	of	of	ADP
cana-3440	68	48	clusters	cluster	NOUN
cana-3440	68	49	k.	k.	PROPN
cana-3440	68	50	1	1	X
cana-3440	68	51	.	.	PUNCT
cana-3440	68	52	elbow	elbow	NOUN
cana-3440	68	53	method	method	NOUN
cana-3440	68	54	:	:	PUNCT
cana-3440	68	55	determine	determine	VERB
cana-3440	68	56	the	the	DET
cana-3440	68	57	”	"	PUNCT
cana-3440	68	58	elbow	elbow	NOUN
cana-3440	68	59	point	point	NOUN
cana-3440	68	60	”	"	PUNCT
cana-3440	68	61	by	by	ADP
cana-3440	68	62	plotting	plot	VERB
cana-3440	68	63	the	the	DET
cana-3440	68	64	within	within	ADP
cana-3440	68	65	-	-	PUNCT
cana-3440	68	66	cluster	cluster	NOUN
cana-3440	68	67	sum	sum	NOUN
cana-3440	68	68	of	of	ADP
cana-3440	68	69	squares	square	NOUN
cana-3440	68	70	(	(	PUNCT
cana-3440	68	71	wcss	wcss	ADJ
cana-3440	68	72	)	)	PUNCT
cana-3440	68	73	against	against	ADP
cana-3440	68	74	the	the	DET
cana-3440	68	75	number	number	NOUN
cana-3440	68	76	of	of	ADP
cana-3440	68	77	clusters	cluster	NOUN
cana-3440	68	78	(	(	PUNCT
cana-3440	68	79	k	k	NOUN
cana-3440	68	80	)	)	PUNCT
cana-3440	68	81	.	.	PUNCT
cana-3440	69	1	wcss	wcss	PROPN
cana-3440	69	2	=	=	SYM
cana-3440	69	3	∑	∑	PROPN
cana-3440	69	4	∑	∑	PART
cana-3440	69	5	||𝒙𝒊	||𝒙𝒊	NOUN
cana-3440	69	6	−	−	NOUN
cana-3440	69	7	𝒄𝒌||𝟐	𝒄𝒌||𝟐	ADJ
cana-3440	69	8	𝒙𝒊∈𝑪𝒌	𝒙𝒊∈𝑪𝒌	VERB
cana-3440	69	9	𝑲	𝑲	PRON
cana-3440	69	10	𝒌=𝟏	𝒌=𝟏	NOUN
cana-3440	69	11	file:///c:/users	file:///c:/user	NOUN
cana-3440	69	12	/	/	SYM
cana-3440	69	13	my%20pc	my%20pc	NOUN
cana-3440	69	14	/	/	SYM
cana-3440	69	15	downloads	download	NOUN
cana-3440	69	16	/	/	SYM
cana-3440	69	17	k	k	ADJ
cana-3440	69	18	-	-	PROPN
cana-3440	69	19	means.docx%23_bookmark10	means.docx%23_bookmark10	ADJ
cana-3440	69	20	file:///c:/users	file:///c:/user	NOUN
cana-3440	69	21	/	/	SYM
cana-3440	69	22	my%20pc	my%20pc	NOUN
cana-3440	69	23	/	/	SYM
cana-3440	69	24	downloads	download	NOUN
cana-3440	69	25	/	/	SYM
cana-3440	69	26	k	k	ADJ
cana-3440	69	27	-	-	PUNCT
cana-3440	69	28	means.docx%23_bookmark11	means.docx%23_bookmark11	ADJ
cana-3440	69	29	communications	communication	NOUN
cana-3440	69	30	on	on	ADP
cana-3440	69	31	applied	apply	VERB
cana-3440	69	32	nonlinear	nonlinear	ADJ
cana-3440	69	33	analysis	analysis	NOUN
cana-3440	69	34	issn	issn	NOUN
cana-3440	69	35	:	:	PUNCT
cana-3440	69	36	1074	1074	NUM
cana-3440	69	37	-	-	PUNCT
cana-3440	69	38	133x	133x	NUM
cana-3440	69	39	vol	vol	NOUN
cana-3440	69	40	32	32	NUM
cana-3440	69	41	no	no	NOUN
cana-3440	69	42	.	.	PUNCT
cana-3440	70	1	7s	7	NOUN
cana-3440	70	2	(	(	PUNCT
cana-3440	70	3	2025	2025	NUM
cana-3440	70	4	)	)	PUNCT
cana-3440	70	5	406	406	NUM
cana-3440	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	70	7	2	2	X
cana-3440	70	8	.	.	X
cana-3440	70	9	silhoutte	silhoutte	PROPN
cana-3440	70	10	analysis	analysis	NOUN
cana-3440	70	11	:	:	PUNCT
cana-3440	70	12	measure	measure	VERB
cana-3440	70	13	the	the	DET
cana-3440	70	14	quality	quality	NOUN
cana-3440	70	15	of	of	ADP
cana-3440	70	16	clustering	cluster	VERB
cana-3440	70	17	by	by	ADP
cana-3440	70	18	calculating	calculate	VERB
cana-3440	70	19	the	the	DET
cana-3440	70	20	silhoutte	silhoutte	PROPN
cana-3440	70	21	score	score	NOUN
cana-3440	70	22	.	.	PUNCT
cana-3440	71	1	silhouette	silhouette	NOUN
cana-3440	71	2	score	score	NOUN
cana-3440	71	3	=	=	PUNCT
cana-3440	71	4	𝒃(𝒊	𝒃(𝒊	X
cana-3440	71	5	)	)	PUNCT
cana-3440	71	6	−	−	PROPN
cana-3440	71	7	𝒂(𝒊	𝒂(𝒊	NOUN
cana-3440	71	8	)	)	PUNCT
cana-3440	71	9	𝒎𝒂𝒙(𝒂(𝒊),𝒃(𝒊	𝒎𝒂𝒙(𝒂(𝒊),𝒃(𝒊	VERB
cana-3440	71	10	)	)	PUNCT
cana-3440	71	11	)	)	PUNCT
cana-3440	72	1	where	where	SCONJ
cana-3440	72	2	:	:	PUNCT
cana-3440	72	3	–	–	PUNCT
cana-3440	72	4	a(i	a(i	VERB
cana-3440	72	5	)	)	PUNCT
cana-3440	72	6	is	be	AUX
cana-3440	72	7	the	the	DET
cana-3440	72	8	average	average	ADJ
cana-3440	72	9	distance	distance	NOUN
cana-3440	72	10	from	from	ADP
cana-3440	72	11	the	the	DET
cana-3440	72	12	i	i	PRON
cana-3440	72	13	th	th	NOUN
cana-3440	72	14	point	point	NOUN
cana-3440	72	15	to	to	ADP
cana-3440	72	16	the	the	DET
cana-3440	72	17	other	other	ADJ
cana-3440	72	18	points	point	NOUN
cana-3440	72	19	in	in	ADP
cana-3440	72	20	the	the	DET
cana-3440	72	21	same	same	ADJ
cana-3440	72	22	cluster	cluster	NOUN
cana-3440	72	23	.	.	PUNCT
cana-3440	73	1	–	–	PUNCT
cana-3440	73	2	b(i	b(i	NUM
cana-3440	73	3	)	)	PUNCT
cana-3440	73	4	is	be	AUX
cana-3440	73	5	the	the	DET
cana-3440	73	6	average	average	ADJ
cana-3440	73	7	distance	distance	NOUN
cana-3440	73	8	from	from	ADP
cana-3440	73	9	the	the	DET
cana-3440	73	10	i	i	PRON
cana-3440	73	11	th	th	NOUN
cana-3440	73	12	point	point	NOUN
cana-3440	73	13	to	to	ADP
cana-3440	73	14	the	the	DET
cana-3440	73	15	points	point	NOUN
cana-3440	73	16	in	in	ADP
cana-3440	73	17	the	the	DET
cana-3440	73	18	nearest	near	ADJ
cana-3440	73	19	different	different	ADJ
cana-3440	73	20	cluster	cluster	NOUN
cana-3440	73	21	.	.	PUNCT
cana-3440	74	1	3	3	NUM
cana-3440	74	2	algorithm	algorithm	NOUN
cana-3440	74	3	the	the	DET
cana-3440	74	4	algorithm	algorithm	NOUN
cana-3440	74	5	of	of	ADP
cana-3440	74	6	k	k	X
cana-3440	74	7	-	-	PUNCT
cana-3440	74	8	means	means	PROPN
cana-3440	74	9	is	be	AUX
cana-3440	74	10	discussed	discuss	VERB
cana-3440	74	11	in	in	ADP
cana-3440	74	12	the	the	DET
cana-3440	74	13	works	work	NOUN
cana-3440	74	14	of	of	ADP
cana-3440	74	15	[	[	X
cana-3440	74	16	13	13	NUM
cana-3440	74	17	]	]	PUNCT
cana-3440	74	18	,	,	PUNCT
cana-3440	74	19	[	[	X
cana-3440	74	20	14	14	NUM
cana-3440	74	21	]	]	PUNCT
cana-3440	74	22	,	,	PUNCT
cana-3440	74	23	[	[	X
cana-3440	74	24	15	15	NUM
cana-3440	74	25	]	]	PUNCT
cana-3440	74	26	,	,	PUNCT
cana-3440	74	27	[	[	X
cana-3440	74	28	16	16	NUM
cana-3440	74	29	]	]	PUNCT
cana-3440	74	30	.	.	PUNCT
cana-3440	75	1	we	we	PRON
cana-3440	75	2	introduce	introduce	VERB
cana-3440	75	3	a	a	DET
cana-3440	75	4	new	new	ADJ
cana-3440	75	5	mathematical	mathematical	ADJ
cana-3440	75	6	model	model	NOUN
cana-3440	75	7	that	that	PRON
cana-3440	75	8	combines	combine	VERB
cana-3440	75	9	operations	operation	NOUN
cana-3440	75	10	research	research	NOUN
cana-3440	75	11	methods	method	NOUN
cana-3440	75	12	with	with	ADP
cana-3440	75	13	k	k	NOUN
cana-3440	75	14	-	-	PUNCT
cana-3440	75	15	means	means	NOUN
cana-3440	75	16	clustering	cluster	VERB
cana-3440	75	17	to	to	PART
cana-3440	75	18	improve	improve	VERB
cana-3440	75	19	patient	patient	ADJ
cana-3440	75	20	outcome	outcome	NOUN
cana-3440	75	21	as	as	ADV
cana-3440	75	22	efficiently	efficiently	ADV
cana-3440	75	23	as	as	ADP
cana-3440	75	24	possible	possible	ADJ
cana-3440	75	25	.	.	PUNCT
cana-3440	76	1	model	model	NOUN
cana-3440	76	2	formulation	formulation	NOUN
cana-3440	76	3	the	the	DET
cana-3440	76	4	objective	objective	NOUN
cana-3440	76	5	of	of	ADP
cana-3440	76	6	k	k	NOUN
cana-3440	76	7	-	-	PUNCT
cana-3440	76	8	means	means	NOUN
cana-3440	76	9	clustering	clustering	NOUN
cana-3440	76	10	is	be	AUX
cana-3440	76	11	to	to	PART
cana-3440	76	12	partition	partition	VERB
cana-3440	76	13	a	a	DET
cana-3440	76	14	set	set	NOUN
cana-3440	76	15	of	of	ADP
cana-3440	76	16	n	n	PRON
cana-3440	76	17	diabetic	diabetic	ADJ
cana-3440	76	18	patients	patient	NOUN
cana-3440	76	19	into	into	ADP
cana-3440	76	20	k	k	PROPN
cana-3440	76	21	clusters	cluster	NOUN
cana-3440	76	22	,	,	PUNCT
cana-3440	76	23	minimizing	minimize	VERB
cana-3440	76	24	the	the	DET
cana-3440	76	25	within	within	ADP
cana-3440	76	26	-	-	PUNCT
cana-3440	76	27	cluster	cluster	NOUN
cana-3440	76	28	sum	sum	NOUN
cana-3440	76	29	of	of	ADP
cana-3440	76	30	squares	square	NOUN
cana-3440	76	31	(	(	PUNCT
cana-3440	76	32	wcss	wcss	PROPN
cana-3440	76	33	)	)	PUNCT
cana-3440	76	34	.	.	PUNCT
cana-3440	77	1	each	each	DET
cana-3440	77	2	patient	patient	NOUN
cana-3440	77	3	i	i	PRON
cana-3440	77	4	is	be	AUX
cana-3440	77	5	characterized	characterize	VERB
cana-3440	77	6	by	by	ADP
cana-3440	77	7	a	a	DET
cana-3440	77	8	feature	feature	NOUN
cana-3440	77	9	vector	vector	NOUN
cana-3440	77	10	xi	xi	NOUN
cana-3440	78	1	that	that	PRON
cana-3440	78	2	includes	include	VERB
cana-3440	78	3	fasting	fast	VERB
cana-3440	78	4	blood	blood	NOUN
cana-3440	78	5	sugar	sugar	NOUN
cana-3440	78	6	(	(	PUNCT
cana-3440	78	7	fbs	fbs	PROPN
cana-3440	78	8	)	)	PUNCT
cana-3440	78	9	,	,	PUNCT
cana-3440	78	10	postprandial	postprandial	ADJ
cana-3440	78	11	blood	blood	NOUN
cana-3440	78	12	sugar	sugar	NOUN
cana-3440	78	13	(	(	PUNCT
cana-3440	78	14	ppbs	ppb	NOUN
cana-3440	78	15	)	)	PUNCT
cana-3440	78	16	,	,	PUNCT
cana-3440	78	17	random	random	ADJ
cana-3440	78	18	blood	blood	NOUN
cana-3440	78	19	sugar	sugar	NOUN
cana-3440	78	20	(	(	PUNCT
cana-3440	78	21	rbs	rbs	PROPN
cana-3440	78	22	)	)	PUNCT
cana-3440	78	23	,	,	PUNCT
cana-3440	78	24	and	and	CCONJ
cana-3440	78	25	hba1c	hba1c	PROPN
cana-3440	78	26	levels	level	NOUN
cana-3440	78	27	.	.	PUNCT
cana-3440	79	1	objective	objective	ADJ
cana-3440	79	2	function	function	NOUN
cana-3440	79	3	:	:	PUNCT
cana-3440	79	4	minimize	minimize	VERB
cana-3440	79	5	the	the	DET
cana-3440	79	6	total	total	ADJ
cana-3440	79	7	within	within	ADP
cana-3440	79	8	-	-	PUNCT
cana-3440	79	9	cluster	cluster	NOUN
cana-3440	79	10	variance	variance	NOUN
cana-3440	79	11	:	:	PUNCT
cana-3440	79	12	minimize	minimize	VERB
cana-3440	79	13	∑	∑	PUNCT
cana-3440	79	14	∑	∑	PART
cana-3440	79	15	||𝒙𝒊	||𝒙𝒊	NOUN
cana-3440	79	16	−	−	NOUN
cana-3440	79	17	𝒄𝒌||𝟐	𝒄𝒌||𝟐	ADJ
cana-3440	79	18	𝒙𝒊∈𝑪𝒌	𝒙𝒊∈𝑪𝒌	VERB
cana-3440	79	19	𝑲	𝑲	PRON
cana-3440	79	20	𝒌=𝟏	𝒌=𝟏	ADV
cana-3440	79	21	where	where	SCONJ
cana-3440	79	22	:	:	PUNCT
cana-3440	79	23	ck	ck	INTJ
cana-3440	79	24	is	be	AUX
cana-3440	79	25	the	the	DET
cana-3440	79	26	centroid	centroid	NOUN
cana-3440	79	27	of	of	ADP
cana-3440	79	28	cluster	cluster	NOUN
cana-3440	79	29	k	k	PROPN
cana-3440	79	30	,	,	PUNCT
cana-3440	79	31	ck	ck	PROPN
cana-3440	79	32	is	be	AUX
cana-3440	79	33	the	the	DET
cana-3440	79	34	set	set	NOUN
cana-3440	79	35	of	of	ADP
cana-3440	79	36	patients	patient	NOUN
cana-3440	79	37	assigned	assign	VERB
cana-3440	79	38	to	to	ADP
cana-3440	79	39	cluster	cluster	NOUN
cana-3440	79	40	k	k	PROPN
cana-3440	79	41	,	,	PUNCT
cana-3440	79	42	xi	xi	ADP
cana-3440	80	1	−	−	PROPN
cana-3440	80	2	ck	ck	NOUN
cana-3440	80	3	2	2	NUM
cana-3440	80	4	represents	represent	VERB
cana-3440	80	5	the	the	DET
cana-3440	80	6	squared	squared	ADJ
cana-3440	80	7	euclidean	euclidean	ADJ
cana-3440	80	8	distance	distance	NOUN
cana-3440	80	9	between	between	ADP
cana-3440	80	10	patient	patient	NOUN
cana-3440	80	11	i	i	PRON
cana-3440	80	12	and	and	CCONJ
cana-3440	80	13	the	the	DET
cana-3440	80	14	centroid	centroid	NOUN
cana-3440	80	15	of	of	ADP
cana-3440	80	16	cluster	cluster	NOUN
cana-3440	80	17	k.	k.	PROPN
cana-3440	80	18	constraints	constraint	VERB
cana-3440	80	19	:	:	PUNCT
cana-3440	80	20	each	each	DET
cana-3440	80	21	patient	patient	NOUN
cana-3440	80	22	must	must	AUX
cana-3440	80	23	be	be	AUX
cana-3440	80	24	assigned	assign	VERB
cana-3440	80	25	to	to	ADP
cana-3440	80	26	exactly	exactly	ADV
cana-3440	80	27	one	one	NUM
cana-3440	80	28	cluster	cluster	NOUN
cana-3440	80	29	:	:	PUNCT
cana-3440	80	30	∑	∑	PUNCT
cana-3440	80	31	𝒚𝒊𝒌	𝒚𝒊𝒌	NOUN
cana-3440	80	32	𝑲	𝑲	NOUN
cana-3440	80	33	𝒌=𝟏	𝒌=𝟏	NOUN
cana-3440	80	34	=	=	NOUN
cana-3440	80	35	1	1	NUM
cana-3440	80	36	∀	∀	NOUN
cana-3440	81	1	i	i	NOUN
cana-3440	81	2	∈	∈	PROPN
cana-3440	81	3	1	1	NUM
cana-3440	81	4	,	,	PUNCT
cana-3440	81	5	2	2	NUM
cana-3440	81	6	,	,	PUNCT
cana-3440	81	7	……	……	NOUN
cana-3440	81	8	.	.	PUNCT
cana-3440	82	1	n.	n.	NOUN
cana-3440	82	2	ensure	ensure	VERB
cana-3440	82	3	that	that	SCONJ
cana-3440	82	4	each	each	DET
cana-3440	82	5	cluster	cluster	NOUN
cana-3440	82	6	contains	contain	VERB
cana-3440	82	7	atleast	atleast	ADJ
cana-3440	82	8	one	one	NUM
cana-3440	82	9	patient	patient	NOUN
cana-3440	82	10	:	:	PUNCT
cana-3440	82	11	∑	∑	PUNCT
cana-3440	82	12	𝒚𝒊𝒌	𝒚𝒊𝒌	PROPN
cana-3440	82	13	𝒏	𝒏	PROPN
cana-3440	82	14	𝒊=𝟏	𝒊=𝟏	PROPN
cana-3440	82	15	≥	≥	NUM
cana-3440	82	16	1∀	1∀	NUM
cana-3440	82	17	k	k	X
cana-3440	82	18	∈	∈	PROPN
cana-3440	82	19	1	1	NUM
cana-3440	82	20	,	,	PUNCT
cana-3440	82	21	2,	2,	NUM
cana-3440	82	22	…	…	SYM
cana-3440	82	23	…	…	PUNCT
cana-3440	82	24	.k	.k	NOUN
cana-3440	82	25	.	.	PUNCT
cana-3440	83	1	where	where	SCONJ
cana-3440	83	2	yik	yik	PROPN
cana-3440	83	3	is	be	AUX
cana-3440	83	4	a	a	DET
cana-3440	83	5	binary	binary	ADJ
cana-3440	83	6	variable	variable	NOUN
cana-3440	83	7	indicating	indicate	VERB
cana-3440	83	8	whether	whether	SCONJ
cana-3440	83	9	patient	patient	ADJ
cana-3440	83	10	i	i	PRON
cana-3440	83	11	is	be	AUX
cana-3440	83	12	assigned	assign	VERB
cana-3440	83	13	to	to	PART
cana-3440	83	14	cluster	cluster	VERB
cana-3440	83	15	k	k	NOUN
cana-3440	83	16	:	:	PUNCT
cana-3440	83	17	𝒚𝒊𝒌	𝒚𝒊𝒌	NOUN
cana-3440	84	1	=	=	PUNCT
cana-3440	84	2	{	{	PUNCT
cana-3440	84	3	1	1	NUM
cana-3440	84	4	,	,	PUNCT
cana-3440	84	5	if	if	SCONJ
cana-3440	84	6	patient	patient	ADJ
cana-3440	84	7	𝑖	𝑖	VERB
cana-3440	84	8	is	be	AUX
cana-3440	84	9	assigned	assign	VERB
cana-3440	84	10	to	to	PART
cana-3440	84	11	cluster	cluster	VERB
cana-3440	84	12	𝑘	𝑘	ADP
cana-3440	84	13	0	0	NUM
cana-3440	84	14	,	,	PUNCT
cana-3440	84	15	otherwise	otherwise	ADV
cana-3440	84	16	communications	communication	NOUN
cana-3440	84	17	on	on	ADP
cana-3440	84	18	applied	apply	VERB
cana-3440	84	19	nonlinear	nonlinear	ADJ
cana-3440	84	20	analysis	analysis	NOUN
cana-3440	84	21	issn	issn	NOUN
cana-3440	84	22	:	:	PUNCT
cana-3440	84	23	1074	1074	NUM
cana-3440	84	24	-	-	PUNCT
cana-3440	84	25	133x	133x	NUM
cana-3440	84	26	vol	vol	NOUN
cana-3440	84	27	32	32	NUM
cana-3440	85	1	no	no	NOUN
cana-3440	85	2	.	.	PUNCT
cana-3440	86	1	7s	7	NOUN
cana-3440	86	2	(	(	PUNCT
cana-3440	86	3	2025	2025	NUM
cana-3440	86	4	)	)	PUNCT
cana-3440	86	5	407	407	NUM
cana-3440	86	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	86	7	centroid	centroid	NOUN
cana-3440	86	8	update	update	NOUN
cana-3440	86	9	the	the	DET
cana-3440	86	10	centroid	centroid	NOUN
cana-3440	86	11	of	of	ADP
cana-3440	86	12	each	each	DET
cana-3440	86	13	cluster	cluster	NOUN
cana-3440	86	14	is	be	AUX
cana-3440	86	15	recalculated	recalculate	VERB
cana-3440	86	16	as	as	ADP
cana-3440	86	17	the	the	DET
cana-3440	86	18	mean	mean	NOUN
cana-3440	86	19	of	of	ADP
cana-3440	86	20	all	all	DET
cana-3440	86	21	patients	patient	NOUN
cana-3440	86	22	assigned	assign	VERB
cana-3440	86	23	to	to	ADP
cana-3440	86	24	that	that	DET
cana-3440	86	25	cluster	cluster	NOUN
cana-3440	86	26	:	:	PUNCT
cana-3440	86	27	𝑐𝑘	𝑐𝑘	NOUN
cana-3440	86	28	=	=	SYM
cana-3440	86	29	1	1	NUM
cana-3440	86	30	|𝐶𝑘|	|𝐶𝑘|	PROPN
cana-3440	86	31	∑	∑	PROPN
cana-3440	86	32	𝑥𝑖	𝑥𝑖	PROPN
cana-3440	86	33	𝑥𝑖∈𝑐𝑘	𝑥𝑖∈𝑐𝑘	PUNCT
cana-3440	86	34	where	where	SCONJ
cana-3440	86	35	:	:	PUNCT
cana-3440	86	36	ck	ck	PRON
cana-3440	86	37	is	be	AUX
cana-3440	86	38	the	the	DET
cana-3440	86	39	new	new	ADJ
cana-3440	86	40	centroid	centroid	NOUN
cana-3440	86	41	for	for	ADP
cana-3440	86	42	cluster	cluster	NOUN
cana-3440	87	1	k	k	PROPN
cana-3440	87	2	ck	ck	PROPN
cana-3440	87	3	is	be	AUX
cana-3440	87	4	the	the	DET
cana-3440	87	5	set	set	NOUN
cana-3440	87	6	of	of	ADP
cana-3440	87	7	data	datum	NOUN
cana-3440	87	8	points	point	NOUN
cana-3440	87	9	assigned	assign	VERB
cana-3440	87	10	to	to	ADP
cana-3440	87	11	cluster	cluster	NOUN
cana-3440	87	12	k	k	PROPN
cana-3440	87	13	|.|	|.|	NOUN
cana-3440	87	14	denotes	denote	VERB
cana-3440	87	15	the	the	DET
cana-3440	87	16	cardinality	cardinality	NOUN
cana-3440	87	17	of	of	ADP
cana-3440	87	18	the	the	DET
cana-3440	87	19	set	set	NOUN
cana-3440	87	20	,	,	PUNCT
cana-3440	87	21	i.e.	i.e.	X
cana-3440	87	22	,	,	PUNCT
cana-3440	87	23	the	the	DET
cana-3440	87	24	number	number	NOUN
cana-3440	87	25	of	of	ADP
cana-3440	87	26	data	datum	NOUN
cana-3440	87	27	points	point	NOUN
cana-3440	87	28	in	in	ADP
cana-3440	87	29	cluster	cluster	NOUN
cana-3440	87	30	k.	k.	PROPN
cana-3440	87	31	3.1	3.1	NUM
cana-3440	87	32	k	k	NOUN
cana-3440	87	33	-	-	PUNCT
cana-3440	87	34	means	mean	VERB
cana-3440	87	35	clustering	cluster	VERB
cana-3440	87	36	algorithm	algorithm	NOUN
cana-3440	87	37	from	from	ADP
cana-3440	87	38	scratch	scratch	NOUN
cana-3440	87	39	this	this	PRON
cana-3440	87	40	is	be	AUX
cana-3440	87	41	a	a	DET
cana-3440	87	42	step	step	NOUN
cana-3440	87	43	-	-	PUNCT
cana-3440	87	44	by	by	ADP
cana-3440	87	45	-	-	PUNCT
cana-3440	87	46	step	step	NOUN
cana-3440	87	47	algorithm	algorithm	NOUN
cana-3440	87	48	for	for	ADP
cana-3440	87	49	k	k	NOUN
cana-3440	87	50	-	-	PUNCT
cana-3440	87	51	means	means	NOUN
cana-3440	87	52	clustering	cluster	VERB
cana-3440	87	53	from	from	ADP
cana-3440	87	54	scratch	scratch	NOUN
cana-3440	87	55	.	.	PUNCT
cana-3440	88	1	step	step	NOUN
cana-3440	88	2	1	1	NUM
cana-3440	88	3	:	:	PUNCT
cana-3440	88	4	random	random	ADJ
cana-3440	88	5	initialization	initialization	NOUN
cana-3440	88	6	objective	objective	NOUN
cana-3440	88	7	:	:	PUNCT
cana-3440	88	8	randomly	randomly	ADV
cana-3440	88	9	select	select	PROPN
cana-3440	88	10	k	k	PROPN
cana-3440	88	11	data	datum	NOUN
cana-3440	88	12	points	point	NOUN
cana-3440	88	13	from	from	ADP
cana-3440	88	14	the	the	DET
cana-3440	88	15	dataset	dataset	NOUN
cana-3440	88	16	as	as	ADP
cana-3440	88	17	initial	initial	ADJ
cana-3440	88	18	centroids	centroid	NOUN
cana-3440	88	19	to	to	PART
cana-3440	88	20	start	start	VERB
cana-3440	88	21	the	the	DET
cana-3440	88	22	clustering	clustering	ADJ
cana-3440	88	23	process	process	NOUN
cana-3440	88	24	.	.	PUNCT
cana-3440	89	1	𝑐𝑘	𝑐𝑘	NOUN
cana-3440	89	2	0	0	NUM
cana-3440	89	3	∈	∈	PROPN
cana-3440	89	4	x	x	NOUN
cana-3440	89	5	,	,	PUNCT
cana-3440	89	6	k	k	PROPN
cana-3440	89	7	=	=	SYM
cana-3440	89	8	1	1	NUM
cana-3440	89	9	,	,	PUNCT
cana-3440	89	10	2	2	NUM
cana-3440	89	11	,	,	PUNCT
cana-3440	89	12	k.	k.	PROPN
cana-3440	90	1	k	k	PROPN
cana-3440	90	2	-	-	PROPN
cana-3440	90	3	means++	means++	PROPN
cana-3440	90	4	initialization:(for	initialization:(for	ADP
cana-3440	90	5	better	well	ADJ
cana-3440	90	6	convergence	convergence	NOUN
cana-3440	90	7	):	):	PUNCT
cana-3440	90	8	–	–	PUNCT
cana-3440	90	9	choose	choose	VERB
cana-3440	90	10	at	at	ADP
cana-3440	90	11	random	random	ADJ
cana-3440	90	12	the	the	DET
cana-3440	90	13	first	first	ADJ
cana-3440	90	14	centroid	centroid	NOUN
cana-3440	90	15	.	.	PUNCT
cana-3440	91	1	–	–	PUNCT
cana-3440	91	2	calculate	calculate	VERB
cana-3440	91	3	the	the	DET
cana-3440	91	4	distance	distance	NOUN
cana-3440	91	5	d(xi	d(xi	NOUN
cana-3440	91	6	)	)	PUNCT
cana-3440	91	7	to	to	ADP
cana-3440	91	8	the	the	DET
cana-3440	91	9	closest	close	ADJ
cana-3440	91	10	centroid	centroid	NOUN
cana-3440	91	11	for	for	ADP
cana-3440	91	12	each	each	DET
cana-3440	91	13	data	datum	NOUN
cana-3440	91	14	point	point	NOUN
cana-3440	91	15	xi	xi	PROPN
cana-3440	91	16	.	.	PUNCT
cana-3440	92	1	–	–	PUNCT
cana-3440	92	2	choose	choose	VERB
cana-3440	92	3	the	the	DET
cana-3440	92	4	subsequent	subsequent	ADJ
cana-3440	92	5	centroid	centroid	NOUN
cana-3440	92	6	whose	whose	DET
cana-3440	92	7	probability	probability	NOUN
cana-3440	92	8	is	be	AUX
cana-3440	92	9	proportional	proportional	ADJ
cana-3440	92	10	to	to	PART
cana-3440	92	11	d(x2	d(x2	VERB
cana-3440	92	12	)	)	PUNCT
cana-3440	92	13	.	.	PUNCT
cana-3440	93	1	–	–	PUNCT
cana-3440	93	2	continue	continue	VERB
cana-3440	93	3	until	until	SCONJ
cana-3440	93	4	centroids	centroid	NOUN
cana-3440	93	5	are	be	AUX
cana-3440	93	6	chosen	choose	VERB
cana-3440	93	7	.	.	PUNCT
cana-3440	94	1	mathematical	mathematical	ADJ
cana-3440	94	2	concept	concept	NOUN
cana-3440	94	3	:	:	PUNCT
cana-3440	94	4	to	to	PART
cana-3440	94	5	enhance	enhance	VERB
cana-3440	94	6	the	the	DET
cana-3440	94	7	quality	quality	NOUN
cana-3440	94	8	of	of	ADP
cana-3440	94	9	the	the	DET
cana-3440	94	10	initial	initial	ADJ
cana-3440	94	11	centroids	centroid	NOUN
cana-3440	94	12	,	,	PUNCT
cana-3440	94	13	apply	apply	VERB
cana-3440	94	14	the	the	DET
cana-3440	94	15	k	k	ADJ
cana-3440	94	16	-	-	PUNCT
cana-3440	94	17	means++	means++	ADJ
cana-3440	94	18	initialization	initialization	NOUN
cana-3440	94	19	technique	technique	NOUN
cana-3440	94	20	.	.	PUNCT
cana-3440	95	1	in	in	ADP
cana-3440	95	2	order	order	NOUN
cana-3440	95	3	to	to	PART
cana-3440	95	4	improve	improve	VERB
cana-3440	95	5	clustering	cluster	VERB
cana-3440	95	6	and	and	CCONJ
cana-3440	95	7	accelerate	accelerate	VERB
cana-3440	95	8	convergence	convergence	NOUN
cana-3440	95	9	,	,	PUNCT
cana-3440	95	10	this	this	DET
cana-3440	95	11	approach	approach	NOUN
cana-3440	95	12	selects	select	VERB
cana-3440	95	13	initial	initial	ADJ
cana-3440	95	14	centroids	centroid	NOUN
cana-3440	95	15	in	in	ADP
cana-3440	95	16	a	a	DET
cana-3440	95	17	way	way	NOUN
cana-3440	95	18	that	that	PRON
cana-3440	95	19	disperses	disperse	VERB
cana-3440	95	20	them	they	PRON
cana-3440	95	21	over	over	ADP
cana-3440	95	22	the	the	DET
cana-3440	95	23	feature	feature	NOUN
cana-3440	95	24	space	space	NOUN
cana-3440	95	25	.	.	PUNCT
cana-3440	96	1	p	p	X
cana-3440	96	2	(	(	PUNCT
cana-3440	96	3	xi	xi	PROPN
cana-3440	96	4	)	)	PUNCT
cana-3440	96	5	=	=	SYM
cana-3440	96	6	𝐷(𝑥𝑖)2	𝐷(𝑥𝑖)2	ADJ
cana-3440	96	7	∑	∑	PUNCT
cana-3440	96	8	𝐷(𝑥𝑗)2	𝐷(𝑥𝑗)2	NOUN
cana-3440	96	9	𝑗	𝑗	INTJ
cana-3440	96	10	where	where	SCONJ
cana-3440	96	11	:	:	PUNCT
cana-3440	96	12	d(xi	d(xi	X
cana-3440	96	13	)	)	PUNCT
cana-3440	96	14	is	be	AUX
cana-3440	96	15	the	the	DET
cana-3440	96	16	distance	distance	NOUN
cana-3440	96	17	from	from	ADP
cana-3440	96	18	data	datum	NOUN
cana-3440	96	19	point	point	NOUN
cana-3440	96	20	xi	xi	INTJ
cana-3440	96	21	to	to	ADP
cana-3440	96	22	the	the	DET
cana-3440	96	23	nearest	near	ADJ
cana-3440	96	24	already	already	ADV
cana-3440	96	25	chosen	choose	VERB
cana-3440	96	26	centroid	centroid	NOUN
cana-3440	96	27	.	.	PUNCT
cana-3440	97	1	p	p	X
cana-3440	97	2	(	(	PUNCT
cana-3440	97	3	xi	xi	PROPN
cana-3440	97	4	)	)	PUNCT
cana-3440	97	5	is	be	AUX
cana-3440	97	6	the	the	DET
cana-3440	97	7	probability	probability	NOUN
cana-3440	97	8	of	of	ADP
cana-3440	97	9	selecting	select	VERB
cana-3440	97	10	xi	xi	INTJ
cana-3440	97	11	as	as	ADP
cana-3440	97	12	the	the	DET
cana-3440	97	13	next	next	ADJ
cana-3440	97	14	centroid	centroid	NOUN
cana-3440	97	15	.	.	PUNCT
cana-3440	98	1	step	step	NOUN
cana-3440	98	2	2	2	NUM
cana-3440	98	3	:	:	PUNCT
cana-3440	98	4	assignment	assignment	NOUN
cana-3440	98	5	step	step	NOUN
cana-3440	98	6	objective	objective	NOUN
cana-3440	98	7	:	:	PUNCT
cana-3440	98	8	assign	assign	VERB
cana-3440	98	9	each	each	DET
cana-3440	98	10	data	data	NOUN
cana-3440	98	11	point	point	NOUN
cana-3440	98	12	to	to	ADP
cana-3440	98	13	the	the	DET
cana-3440	98	14	nearest	near	ADJ
cana-3440	98	15	centroid	centroid	NOUN
cana-3440	98	16	.	.	PUNCT
cana-3440	99	1	mathematical	mathematical	ADJ
cana-3440	99	2	concept	concept	NOUN
cana-3440	99	3	:	:	PUNCT
cana-3440	99	4	calculate	calculate	VERB
cana-3440	99	5	the	the	DET
cana-3440	99	6	euclidean	euclidean	ADJ
cana-3440	99	7	distance	distance	NOUN
cana-3440	99	8	between	between	ADP
cana-3440	99	9	each	each	DET
cana-3440	99	10	data	data	NOUN
cana-3440	99	11	point	point	NOUN
cana-3440	99	12	xi	xi	ADP
cana-3440	100	1	and	and	CCONJ
cana-3440	100	2	each	each	DET
cana-3440	100	3	centroid	centroid	NOUN
cana-3440	100	4	ck	ck	NOUN
cana-3440	100	5	:	:	PUNCT
cana-3440	100	6	communications	communication	NOUN
cana-3440	100	7	on	on	ADP
cana-3440	100	8	applied	apply	VERB
cana-3440	100	9	nonlinear	nonlinear	ADJ
cana-3440	100	10	analysis	analysis	NOUN
cana-3440	100	11	issn	issn	NOUN
cana-3440	100	12	:	:	PUNCT
cana-3440	100	13	1074	1074	NUM
cana-3440	100	14	-	-	PUNCT
cana-3440	100	15	133x	133x	NUM
cana-3440	100	16	vol	vol	NOUN
cana-3440	100	17	32	32	NUM
cana-3440	100	18	no	no	NOUN
cana-3440	100	19	.	.	PUNCT
cana-3440	101	1	7s	7	NOUN
cana-3440	101	2	(	(	PUNCT
cana-3440	101	3	2025	2025	NUM
cana-3440	101	4	)	)	PUNCT
cana-3440	101	5	408	408	NUM
cana-3440	101	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	101	7	𝑑(𝑥𝑖	𝑑(𝑥𝑖	NUM
cana-3440	101	8	,	,	PUNCT
cana-3440	101	9	𝑐𝑘	𝑐𝑘	NOUN
cana-3440	101	10	)	)	PUNCT
cana-3440	101	11	=	=	SYM
cana-3440	102	1	√∑(𝑥𝑖𝑗	√∑(𝑥𝑖𝑗	PROPN
cana-3440	103	1	−	−	PROPN
cana-3440	103	2	𝑐𝑖𝑗)2	𝑐𝑖𝑗)2	PROPN
cana-3440	103	3	𝑛	𝑛	PRON
cana-3440	103	4	𝑗=	𝑗=	NOUN
cana-3440	103	5	1	1	NUM
cana-3440	103	6	assign	assign	VERB
cana-3440	103	7	each	each	DET
cana-3440	103	8	data	data	NOUN
cana-3440	103	9	point	point	NOUN
cana-3440	103	10	xi	xi	INTJ
cana-3440	103	11	to	to	ADP
cana-3440	103	12	the	the	DET
cana-3440	103	13	cluster	cluster	NOUN
cana-3440	103	14	with	with	ADP
cana-3440	103	15	the	the	DET
cana-3440	103	16	nearest	near	ADJ
cana-3440	103	17	centroid	centroid	NOUN
cana-3440	103	18	:	:	PUNCT
cana-3440	103	19	𝒚𝒊𝒌	𝒚𝒊𝒌	X
cana-3440	103	20	=	=	PUNCT
cana-3440	103	21	{	{	PUNCT
cana-3440	103	22	1	1	NUM
cana-3440	103	23	,	,	PUNCT
cana-3440	103	24	if	if	SCONJ
cana-3440	103	25	𝑘	𝑘	X
cana-3440	103	26	=	=	VERB
cana-3440	103	27	𝑎𝑟𝑔𝑚𝑖𝑛𝑘	𝑎𝑟𝑔𝑚𝑖𝑛𝑘	NOUN
cana-3440	103	28	𝑑(𝑥𝑖	𝑑(𝑥𝑖	PROPN
cana-3440	103	29	,	,	PUNCT
cana-3440	103	30	𝑐𝑘	𝑐𝑘	NOUN
cana-3440	103	31	)	)	PUNCT
cana-3440	103	32	0	0	NUM
cana-3440	103	33	,	,	PUNCT
cana-3440	103	34	otherwise	otherwise	ADV
cana-3440	103	35	where	where	SCONJ
cana-3440	103	36	yik	yik	PROPN
cana-3440	103	37	is	be	AUX
cana-3440	103	38	a	a	DET
cana-3440	103	39	binary	binary	ADJ
cana-3440	103	40	variable	variable	NOUN
cana-3440	103	41	indicating	indicate	VERB
cana-3440	103	42	cluster	cluster	NOUN
cana-3440	103	43	assignment	assignment	NOUN
cana-3440	103	44	.	.	PUNCT
cana-3440	104	1	step	step	NOUN
cana-3440	104	2	3	3	NUM
cana-3440	104	3	:	:	PUNCT
cana-3440	104	4	upadate	upadate	ADJ
cana-3440	104	5	step	step	NOUN
cana-3440	104	6	objective	objective	NOUN
cana-3440	104	7	:	:	PUNCT
cana-3440	104	8	update	update	VERB
cana-3440	104	9	the	the	DET
cana-3440	104	10	centroids	centroid	NOUN
cana-3440	104	11	with	with	ADP
cana-3440	104	12	respect	respect	NOUN
cana-3440	104	13	to	to	ADP
cana-3440	104	14	the	the	DET
cana-3440	104	15	current	current	ADJ
cana-3440	104	16	cluster	cluster	NOUN
cana-3440	104	17	assignments	assignment	NOUN
cana-3440	104	18	.	.	PUNCT
cana-3440	105	1	mathematical	mathematical	ADJ
cana-3440	105	2	concept	concept	NOUN
cana-3440	105	3	:	:	PUNCT
cana-3440	105	4	recalculate	recalculate	VERB
cana-3440	105	5	the	the	DET
cana-3440	105	6	centroid	centroid	NOUN
cana-3440	105	7	of	of	ADP
cana-3440	105	8	each	each	DET
cana-3440	105	9	cluster	cluster	NOUN
cana-3440	105	10	to	to	PART
cana-3440	105	11	be	be	AUX
cana-3440	105	12	the	the	DET
cana-3440	105	13	mean	mean	NOUN
cana-3440	105	14	of	of	ADP
cana-3440	105	15	all	all	DET
cana-3440	105	16	points	point	NOUN
cana-3440	105	17	assigned	assign	VERB
cana-3440	105	18	to	to	ADP
cana-3440	105	19	that	that	DET
cana-3440	105	20	cluster	cluster	NOUN
cana-3440	105	21	:	:	PUNCT
cana-3440	105	22	𝑐𝑘	𝑐𝑘	NOUN
cana-3440	105	23	=	=	SYM
cana-3440	105	24	1	1	NUM
cana-3440	105	25	|𝐶𝑘|	|𝐶𝑘|	PROPN
cana-3440	105	26	∑	∑	PROPN
cana-3440	105	27	𝑥𝑖	𝑥𝑖	PROPN
cana-3440	105	28	𝑥𝑖∈𝑐𝑘	𝑥𝑖∈𝑐𝑘	PUNCT
cana-3440	105	29	where	where	SCONJ
cana-3440	105	30	:	:	PUNCT
cana-3440	105	31	ck	ck	PRON
cana-3440	105	32	is	be	AUX
cana-3440	105	33	the	the	DET
cana-3440	105	34	set	set	NOUN
cana-3440	105	35	of	of	ADP
cana-3440	105	36	points	point	NOUN
cana-3440	105	37	assigned	assign	VERB
cana-3440	105	38	to	to	ADP
cana-3440	105	39	cluster	cluster	NOUN
cana-3440	105	40	k.	k.	PROPN
cana-3440	105	41	|ck|	|ck|	PROPN
cana-3440	105	42	is	be	AUX
cana-3440	105	43	the	the	DET
cana-3440	105	44	number	number	NOUN
cana-3440	105	45	of	of	ADP
cana-3440	105	46	points	point	NOUN
cana-3440	105	47	in	in	ADP
cana-3440	105	48	cluster	cluster	NOUN
cana-3440	105	49	k.	k.	PROPN
cana-3440	105	50	step	step	VERB
cana-3440	105	51	4	4	NUM
cana-3440	105	52	:	:	PUNCT
cana-3440	105	53	iteration	iteration	NOUN
cana-3440	105	54	objective	objective	NOUN
cana-3440	105	55	:	:	PUNCT
cana-3440	105	56	repeat	repeat	VERB
cana-3440	105	57	the	the	DET
cana-3440	105	58	assignment	assignment	NOUN
cana-3440	105	59	and	and	CCONJ
cana-3440	105	60	update	update	NOUN
cana-3440	105	61	steps	step	NOUN
cana-3440	105	62	till	till	SCONJ
cana-3440	105	63	convergence	convergence	NOUN
cana-3440	105	64	.	.	PUNCT
cana-3440	106	1	mathematical	mathematical	ADJ
cana-3440	106	2	concept	concept	NOUN
cana-3440	106	3	:	:	PUNCT
cana-3440	106	4	repeat	repeat	VERB
cana-3440	106	5	steps	step	NOUN
cana-3440	106	6	2	2	NUM
cana-3440	106	7	and	and	CCONJ
cana-3440	106	8	3	3	NUM
cana-3440	106	9	until	until	SCONJ
cana-3440	106	10	the	the	DET
cana-3440	106	11	centroids	centroid	NOUN
cana-3440	106	12	no	no	ADV
cana-3440	106	13	longer	long	ADV
cana-3440	106	14	change	change	VERB
cana-3440	106	15	significantly	significantly	ADV
cana-3440	106	16	or	or	CCONJ
cana-3440	106	17	a	a	DET
cana-3440	106	18	predefined	predefine	VERB
cana-3440	106	19	number	number	NOUN
cana-3440	106	20	of	of	ADP
cana-3440	106	21	iterations	iteration	NOUN
cana-3440	106	22	is	be	AUX
cana-3440	106	23	reached	reach	VERB
cana-3440	106	24	.	.	PUNCT
cana-3440	107	1	convergence	convergence	NOUN
cana-3440	107	2	criterion	criterion	NOUN
cana-3440	107	3	:	:	PUNCT
cana-3440	107	4	||𝒄𝒌	||𝒄𝒌	NOUN
cana-3440	107	5	𝒕+𝟏	𝒕+𝟏	PRON
cana-3440	107	6	−	−	PROPN
cana-3440	108	1	𝒄𝑲	𝒄𝑲	ADJ
cana-3440	108	2	𝒕	𝒕	DET
cana-3440	108	3	||	||	NOUN
cana-3440	108	4	<	<	X
cana-3440	108	5	𝓔	𝓔	PROPN
cana-3440	108	6	𝒄𝒌	𝒄𝒌	PROPN
cana-3440	108	7	𝒕+𝟏	𝒕+𝟏	PROPN
cana-3440	108	8	is	be	AUX
cana-3440	108	9	the	the	DET
cana-3440	108	10	updated	update	VERB
cana-3440	108	11	centroid	centroid	NOUN
cana-3440	108	12	at	at	ADP
cana-3440	108	13	iteration	iteration	NOUN
cana-3440	108	14	t+1	t+1	PRON
cana-3440	108	15	.	.	PUNCT
cana-3440	109	1	𝒄𝑲	𝒄𝑲	ADJ
cana-3440	109	2	𝒕	𝒕	PRON
cana-3440	109	3	is	be	AUX
cana-3440	109	4	the	the	DET
cana-3440	109	5	centroid	centroid	NOUN
cana-3440	109	6	at	at	ADP
cana-3440	109	7	iteration	iteration	NOUN
cana-3440	109	8	t.	t.	PROPN
cana-3440	109	9	𝓔	𝓔	PROPN
cana-3440	109	10	is	be	AUX
cana-3440	109	11	a	a	DET
cana-3440	109	12	small	small	ADJ
cana-3440	109	13	positive	positive	ADJ
cana-3440	109	14	threshold	threshold	NOUN
cana-3440	109	15	.	.	PUNCT
cana-3440	110	1	3.2	3.2	NUM
cana-3440	110	2	working	working	NOUN
cana-3440	110	3	model	model	NOUN
cana-3440	110	4	algorithm	algorithm	PROPN
cana-3440	110	5	first	first	ADJ
cana-3440	110	6	step	step	NOUN
cana-3440	110	7	:	:	PUNCT
cana-3440	110	8	initialization	initialization	NOUN
cana-3440	110	9	and	and	CCONJ
cana-3440	110	10	importing	import	VERB
cana-3440	110	11	libraries	library	NOUN
cana-3440	110	12	import	import	NOUN
cana-3440	110	13	libraries	library	NOUN
cana-3440	110	14	:	:	PUNCT
cana-3440	110	15	import	import	VERB
cana-3440	110	16	the	the	DET
cana-3440	110	17	necessary	necessary	ADJ
cana-3440	110	18	libraries	library	NOUN
cana-3440	110	19	for	for	ADP
cana-3440	110	20	data	datum	NOUN
cana-3440	110	21	manipulation	manipulation	NOUN
cana-3440	110	22	,	,	PUNCT
cana-3440	110	23	preprocessing	preprocessing	NOUN
cana-3440	110	24	and	and	CCONJ
cana-3440	110	25	clustering	clustering	NOUN
cana-3440	110	26	.	.	PUNCT
cana-3440	111	1	the	the	DET
cana-3440	111	2	code	code	NOUN
cana-3440	111	3	in	in	ADP
cana-3440	111	4	python	python	PROPN
cana-3440	111	5	sets	set	VERB
cana-3440	111	6	the	the	DET
cana-3440	111	7	stage	stage	NOUN
cana-3440	111	8	for	for	ADP
cana-3440	111	9	data	data	NOUN
cana-3440	111	10	processing	processing	NOUN
cana-3440	111	11	and	and	CCONJ
cana-3440	111	12	model	model	NOUN
cana-3440	111	13	implementation	implementation	NOUN
cana-3440	111	14	by	by	ADP
cana-3440	111	15	importing	import	VERB
cana-3440	111	16	all	all	DET
cana-3440	111	17	required	required	ADJ
cana-3440	111	18	libraries	library	NOUN
cana-3440	111	19	.	.	PUNCT
cana-3440	112	1	this	this	DET
cana-3440	112	2	foundational	foundational	ADJ
cana-3440	112	3	step	step	NOUN
cana-3440	112	4	is	be	AUX
cana-3440	112	5	crucial	crucial	ADJ
cana-3440	112	6	for	for	ADP
cana-3440	112	7	any	any	DET
cana-3440	112	8	subsequent	subsequent	ADJ
cana-3440	112	9	data	datum	NOUN
cana-3440	112	10	analysis	analysis	NOUN
cana-3440	112	11	,	,	PUNCT
cana-3440	112	12	clustering	clustering	NOUN
cana-3440	112	13	,	,	PUNCT
cana-3440	112	14	or	or	CCONJ
cana-3440	112	15	regression	regression	NOUN
cana-3440	112	16	tasks	task	NOUN
cana-3440	112	17	.	.	PUNCT
cana-3440	113	1	communications	communication	NOUN
cana-3440	113	2	on	on	ADP
cana-3440	113	3	applied	apply	VERB
cana-3440	113	4	nonlinear	nonlinear	ADJ
cana-3440	113	5	analysis	analysis	NOUN
cana-3440	113	6	issn	issn	NOUN
cana-3440	113	7	:	:	PUNCT
cana-3440	113	8	1074	1074	NUM
cana-3440	113	9	-	-	PUNCT
cana-3440	113	10	133x	133x	NUM
cana-3440	113	11	vol	vol	NOUN
cana-3440	113	12	32	32	NUM
cana-3440	113	13	no	no	NOUN
cana-3440	113	14	.	.	PUNCT
cana-3440	114	1	7s	7	NOUN
cana-3440	114	2	(	(	PUNCT
cana-3440	114	3	2025	2025	NUM
cana-3440	114	4	)	)	PUNCT
cana-3440	114	5	409	409	NUM
cana-3440	114	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3440	114	7	second	second	ADJ
cana-3440	114	8	step	step	NOUN
cana-3440	114	9	:	:	PUNCT
cana-3440	114	10	loading	load	VERB
cana-3440	114	11	and	and	CCONJ
cana-3440	114	12	displaying	display	VERB
cana-3440	114	13	the	the	DET
cana-3440	114	14	dataset	dataset	NOUN
cana-3440	114	15	load	load	NOUN
cana-3440	114	16	the	the	DET
cana-3440	114	17	dataset	dataset	NOUN
cana-3440	114	18	:	:	PUNCT
cana-3440	114	19	load	load	VERB
cana-3440	114	20	the	the	DET
cana-3440	114	21	dataset	dataset	NOUN
cana-3440	114	22	from	from	ADP
cana-3440	114	23	a	a	DET
cana-3440	114	24	specified	specify	VERB
cana-3440	114	25	file	file	NOUN
cana-3440	114	26	path	path	NOUN
cana-3440	114	27	and	and	CCONJ
cana-3440	114	28	display	display	VERB
cana-3440	114	29	the	the	DET
cana-3440	114	30	first	first	ADJ
cana-3440	114	31	few	few	ADJ
cana-3440	114	32	rows	row	NOUN
cana-3440	114	33	to	to	PART
cana-3440	114	34	verify	verify	VERB
cana-3440	114	35	the	the	DET
cana-3440	114	36	data	datum	NOUN
cana-3440	114	37	.	.	PUNCT
cana-3440	115	1	this	this	DET
cana-3440	115	2	step	step	NOUN
cana-3440	115	3	involves	involve	VERB
cana-3440	115	4	reading	read	VERB
cana-3440	115	5	the	the	DET
cana-3440	115	6	csv	csv	NOUN
cana-3440	115	7	file	file	NOUN
cana-3440	115	8	containing	contain	VERB
cana-3440	115	9	our	our	PRON
cana-3440	115	10	dataset	dataset	NOUN
cana-3440	115	11	and	and	CCONJ
cana-3440	115	12	printing	print	VERB
cana-3440	115	13	the	the	DET
cana-3440	115	14	first	first	ADJ
cana-3440	115	15	few	few	ADJ
cana-3440	115	16	rows	row	NOUN
cana-3440	115	17	to	to	PART
cana-3440	115	18	ensure	ensure	VERB
cana-3440	115	19	that	that	SCONJ
cana-3440	115	20	the	the	DET
cana-3440	115	21	data	datum	NOUN
cana-3440	115	22	has	have	AUX
cana-3440	115	23	been	be	AUX
cana-3440	115	24	loaded	load	VERB
cana-3440	115	25	correctly	correctly	ADV
cana-3440	115	26	.	.	PUNCT
cana-3440	116	1	adjust	adjust	VERB
cana-3440	116	2	the	the	DET
cana-3440	116	3	file	file	NOUN
cana-3440	116	4	path	path	NOUN
cana-3440	116	5	variable	variable	NOUN
cana-3440	116	6	to	to	PART
cana-3440	116	7	match	match	VERB
cana-3440	116	8	the	the	DET
cana-3440	116	9	location	location	NOUN
cana-3440	116	10	of	of	ADP
cana-3440	116	11	our	our	PRON
cana-3440	116	12	csv	csv	NOUN
cana-3440	116	13	file	file	NOUN
cana-3440	116	14	on	on	ADP
cana-3440	116	15	your	your	PRON
cana-3440	116	16	computer	computer	NOUN
cana-3440	116	17	.	.	PUNCT
cana-3440	117	1	moreover	moreover	ADV
cana-3440	117	2	,	,	PUNCT
cana-3440	117	3	the	the	DET
cana-3440	117	4	paper	paper	NOUN
cana-3440	117	5	discusses	discuss	VERB
cana-3440	117	6	the	the	DET
cana-3440	117	7	computational	computational	ADJ
cana-3440	117	8	complexity	complexity	NOUN
cana-3440	117	9	of	of	ADP
cana-3440	117	10	the	the	DET
cana-3440	117	11	k	k	NOUN
cana-3440	117	12	-	-	PUNCT
cana-3440	117	13	means	means	NOUN
cana-3440	117	14	algorithm	algorithm	NOUN
cana-3440	117	15	,	,	PUNCT
cana-3440	117	16	expressed	express	VERB
cana-3440	117	17	as	as	ADP
cana-3440	117	18	o(n	o(n	PROPN
cana-3440	117	19	,	,	PUNCT
cana-3440	117	20	k	k	PROPN
cana-3440	117	21	,	,	PUNCT
cana-3440	117	22	t	t	PROPN
cana-3440	117	23	,	,	PUNCT
cana-3440	117	24	d	d	PROPN
cana-3440	117	25	)	)	PUNCT
cana-3440	117	26	,	,	PUNCT
cana-3440	117	27	highlighting	highlight	VERB
cana-3440	117	28	its	its	PRON
cana-3440	117	29	efficiency	efficiency	NOUN
cana-3440	117	30	and	and	CCONJ
cana-3440	117	31	scalability	scalability	NOUN
cana-3440	117	32	.	.	PUNCT
cana-3440	118	1	by	by	ADP
cana-3440	118	2	addressing	address	VERB
cana-3440	118	3	practical	practical	ADJ
cana-3440	118	4	applications	application	NOUN
cana-3440	118	5	and	and	CCONJ
cana-3440	118	6	limitations	limitation	NOUN
cana-3440	118	7	,	,	PUNCT
cana-3440	118	8	such	such	ADJ
cana-3440	118	9	as	as	ADP
cana-3440	118	10	the	the	DET
cana-3440	118	11	algorithm	algorithm	NOUN
cana-3440	118	12	’s	’s	PART
cana-3440	118	13	sensitivity	sensitivity	NOUN
cana-3440	118	14	to	to	ADP
cana-3440	118	15	initial	initial	ADJ
cana-3440	118	16	centroid	centroid	NOUN
cana-3440	118	17	placement	placement	NOUN
cana-3440	118	18	and	and	CCONJ
cana-3440	118	19	assumptions	assumption	NOUN
cana-3440	118	20	of	of	ADP
cana-3440	118	21	spherical	spherical	ADJ
cana-3440	118	22	clusters	cluster	NOUN
cana-3440	118	23	,	,	PUNCT
cana-3440	118	24	our	our	PRON
cana-3440	118	25	research	research	NOUN
cana-3440	118	26	bridges	bridge	NOUN
cana-3440	118	27	mathematical	mathematical	ADJ
cana-3440	118	28	theory	theory	NOUN
cana-3440	118	29	and	and	CCONJ
cana-3440	118	30	practical	practical	ADJ
cana-3440	118	31	utility	utility	NOUN
cana-3440	118	32	.	.	PUNCT
cana-3440	119	1	the	the	DET
cana-3440	119	2	suggestions	suggestion	NOUN
cana-3440	119	3	for	for	ADP
cana-3440	119	4	future	future	ADJ
cana-3440	119	5	research	research	NOUN
cana-3440	119	6	directions	direction	NOUN
cana-3440	119	7	,	,	PUNCT
cana-3440	119	8	including	include	VERB
cana-3440	119	9	exploring	explore	VERB
cana-3440	119	10	alternative	alternative	ADJ
cana-3440	119	11	distance	distance	NOUN
cana-3440	119	12	metrics	metric	NOUN
cana-3440	119	13	and	and	CCONJ
cana-3440	119	14	incorporating	incorporate	VERB
cana-3440	119	15	additional	additional	ADJ
cana-3440	119	16	features	feature	NOUN
cana-3440	119	17	,	,	PUNCT
cana-3440	119	18	further	far	ADV
cana-3440	119	19	showcase	showcase	VERB
cana-3440	119	20	our	our	PRON
cana-3440	119	21	forward	forward	ADV
cana-3440	119	22	-	-	PUNCT
cana-3440	119	23	thinking	think	VERB
cana-3440	119	24	approach	approach	NOUN
cana-3440	119	25	,	,	PUNCT
cana-3440	119	26	paving	pave	VERB
cana-3440	119	27	the	the	DET
cana-3440	119	28	way	way	NOUN
cana-3440	119	29	for	for	ADP
cana-3440	119	30	advancements	advancement	NOUN
cana-3440	119	31	in	in	ADP
cana-3440	119	32	clustering	clustering	ADJ
cana-3440	119	33	methodologies	methodology	NOUN
cana-3440	119	34	.	.	PUNCT
cana-3440	120	1	this	this	DET
cana-3440	120	2	comprehensive	comprehensive	ADJ
cana-3440	120	3	and	and	CCONJ
cana-3440	120	4	balanced	balanced	ADJ
cana-3440	120	5	view	view	NOUN
cana-3440	120	6	adds	add	VERB
cana-3440	120	7	significant	significant	ADJ
cana-3440	120	8	value	value	NOUN
cana-3440	120	9	to	to	ADP
cana-3440	120	10	our	our	PRON
cana-3440	120	11	research	research	NOUN
cana-3440	120	12	,	,	PUNCT
cana-3440	120	13	making	make	VERB
cana-3440	120	14	it	it	PRON
cana-3440	120	15	a	a	DET
cana-3440	120	16	noteworthy	noteworthy	ADJ
cana-3440	120	17	contribution	contribution	NOUN
cana-3440	120	18	to	to	ADP
cana-3440	120	19	the	the	DET
cana-3440	120	20	field	field	NOUN
cana-3440	120	21	.	.	PUNCT
cana-3440	121	1	0	0	NUM
cana-3440	121	2	:	:	PUNCT
cana-3440	121	3	hyper	hyper	ADJ
cana-3440	121	4	(	(	PUNCT
cana-3440	121	5	greater	great	ADJ
cana-3440	121	6	than	than	ADP
cana-3440	121	7	normal	normal	ADJ
cana-3440	121	8	)	)	PUNCT
cana-3440	121	9	1	1	NUM
cana-3440	121	10	:	:	PUNCT
cana-3440	121	11	hypo	hypo	ADJ
cana-3440	121	12	(	(	PUNCT
cana-3440	121	13	less	less	ADJ
cana-3440	121	14	than	than	ADP
cana-3440	121	15	normal	normal	ADJ
cana-3440	121	16	)	)	PUNCT
cana-3440	121	17	2	2	NUM
cana-3440	121	18	:	:	PUNCT
cana-3440	121	19	normal	normal	ADJ
cana-3440	121	20	third	third	ADJ
cana-3440	121	21	step	step	NOUN
cana-3440	121	22	:	:	PUNCT
cana-3440	121	23	extracting	extract	VERB
cana-3440	121	24	features	feature	NOUN
cana-3440	121	25	and	and	CCONJ
cana-3440	121	26	target	target	NOUN
cana-3440	121	27	,	,	PUNCT
cana-3440	121	28	standardizing	standardize	VERB
cana-3440	121	29	data	datum	NOUN
cana-3440	121	30	extract	extract	VERB
cana-3440	121	31	input	input	NOUN
cana-3440	121	32	features	feature	NOUN
cana-3440	121	33	and	and	CCONJ
cana-3440	121	34	target	target	NOUN
cana-3440	121	35	,	,	PUNCT
cana-3440	121	36	standardize	standardize	VERB
cana-3440	121	37	the	the	DET
cana-3440	121	38	data	datum	NOUN
cana-3440	121	39	:	:	PUNCT
cana-3440	121	40	extract	extract	VERB
cana-3440	121	41	the	the	DET
cana-3440	121	42	input	input	NOUN
cana-3440	121	43	features	feature	NOUN
cana-3440	121	44	(	(	PUNCT
cana-3440	121	45	first	first	ADJ
cana-3440	121	46	four	four	NUM
cana-3440	121	47	columns	column	NOUN
cana-3440	121	48	)	)	PUNCT
cana-3440	121	49	and	and	CCONJ
cana-3440	121	50	the	the	DET
cana-3440	121	51	target	target	NOUN
cana-3440	121	52	column	column	NOUN
cana-3440	121	53	.	.	PUNCT
cana-3440	122	1	standardize	standardize	VERB
cana-3440	122	2	the	the	DET
cana-3440	122	3	features	feature	NOUN
cana-3440	122	4	for	for	ADP
cana-3440	122	5	kmeans	kmean	NOUN
cana-3440	122	6	clustering	cluster	VERB
cana-3440	122	7	.	.	PUNCT
cana-3440	123	1	extract	extract	VERB
cana-3440	123	2	input	input	NOUN
cana-3440	123	3	features	feature	NOUN
cana-3440	123	4	:	:	PUNCT
cana-3440	123	5	select	select	VERB
cana-3440	123	6	the	the	DET
cana-3440	123	7	first	first	ADJ
cana-3440	123	8	four	four	NUM
cana-3440	123	9	columns	column	NOUN
cana-3440	123	10	of	of	ADP
cana-3440	123	11	the	the	DET
cana-3440	123	12	dataset	dataset	NOUN
cana-3440	123	13	as	as	ADP
cana-3440	123	14	input	input	NOUN
cana-3440	123	15	features	feature	NOUN
cana-3440	123	16	(	(	PUNCT
cana-3440	123	17	fbs	fbs	ADJ
cana-3440	123	18	,	,	PUNCT
cana-3440	123	19	ppbs	ppb	NOUN
cana-3440	123	20	,	,	PUNCT
cana-3440	123	21	rbs	rbs	NOUN
cana-3440	123	22	,	,	PUNCT
cana-3440	123	23	gender	gender	NOUN
cana-3440	123	24	)	)	PUNCT
cana-3440	123	25	.	.	PUNCT
cana-3440	124	1	extract	extract	VERB
cana-3440	124	2	target	target	NOUN
cana-3440	124	3	column	column	NOUN
cana-3440	124	4	:	:	PUNCT
cana-3440	124	5	select	select	VERB
cana-3440	124	6	the	the	DET
cana-3440	124	7	’	'	PUNCT
cana-3440	124	8	outcome	outcome	NOUN
cana-3440	124	9	’	'	PUNCT
cana-3440	124	10	column	column	NOUN
cana-3440	124	11	as	as	ADP
cana-3440	124	12	the	the	DET
cana-3440	124	13	target	target	NOUN
cana-3440	124	14	variable	variable	NOUN
cana-3440	124	15	for	for	ADP
cana-3440	124	16	classification	classification	NOUN
cana-3440	124	17	tasks	task	NOUN
cana-3440	124	18	.	.	PUNCT
cana-3440	125	1	standardize	standardize	VERB
cana-3440	125	2	the	the	DET
cana-3440	125	3	data	datum	NOUN
cana-3440	125	4	:	:	PUNCT
cana-3440	125	5	use	use	VERB
cana-3440	125	6	standard	standard	ADJ
cana-3440	125	7	scaler	scaler	NOUN
cana-3440	125	8	to	to	PART
cana-3440	125	9	standardize	standardize	VERB
cana-3440	125	10	the	the	DET
cana-3440	125	11	input	input	NOUN
cana-3440	125	12	features	feature	NOUN
cana-3440	125	13	.	.	PUNCT
cana-3440	126	1	this	this	PRON
cana-3440	126	2	ensures	ensure	VERB
cana-3440	126	3	that	that	SCONJ
cana-3440	126	4	each	each	DET
cana-3440	126	5	feature	feature	NOUN
cana-3440	126	6	contributes	contribute	VERB
cana-3440	126	7	equally	equally	ADV
cana-3440	126	8	to	to	ADP
cana-3440	126	9	the	the	DET
cana-3440	126	10	distance	distance	NOUN
cana-3440	126	11	calculations	calculation	NOUN
cana-3440	126	12	in	in	ADP
cana-3440	126	13	k	k	ADJ
cana-3440	126	14	-	-	PUNCT
cana-3440	126	15	means	means	NOUN
cana-3440	126	16	clustering	clustering	NOUN
cana-3440	126	17	,	,	PUNCT
cana-3440	126	18	as	as	SCONJ
cana-3440	126	19	standardized	standardized	ADJ
cana-3440	126	20	features	feature	NOUN
cana-3440	126	21	have	have	VERB
cana-3440	126	22	a	a	DET
cana-3440	126	23	mean	mean	NOUN
cana-3440	126	24	of	of	ADP
cana-3440	126	25	0	0	NUM
cana-3440	126	26	and	and	CCONJ
cana-3440	126	27	a	a	DET
cana-3440	126	28	standard	standard	ADJ
cana-3440	126	29	deviation	deviation	NOUN
cana-3440	126	30	of	of	ADP
cana-3440	126	31	1	1	NUM
cana-3440	126	32	.	.	PUNCT
cana-3440	127	1	this	this	DET
cana-3440	127	2	step	step	NOUN
cana-3440	127	3	is	be	AUX
cana-3440	127	4	crucial	crucial	ADJ
cana-3440	127	5	for	for	ADP
cana-3440	127	6	preparing	prepare	VERB
cana-3440	127	7	the	the	DET
cana-3440	127	8	data	datum	NOUN
cana-3440	127	9	for	for	ADP
cana-3440	127	10	k	k	NOUN
cana-3440	127	11	-	-	PUNCT
cana-3440	127	12	means	means	NOUN
cana-3440	127	13	clustering	clustering	NOUN
cana-3440	127	14	and	and	CCONJ
cana-3440	127	15	subsequent	subsequent	ADJ
cana-3440	127	16	classification	classification	NOUN
cana-3440	127	17	tasks	task	NOUN
cana-3440	127	18	.	.	PUNCT
cana-3440	128	1	fourth	fourth	ADJ
cana-3440	128	2	step	step	NOUN
cana-3440	128	3	:	:	PUNCT
cana-3440	128	4	k	k	X
cana-3440	128	5	-	-	PUNCT
cana-3440	128	6	means	mean	VERB
cana-3440	128	7	clustering	cluster	VERB
cana-3440	128	8	k	k	ADJ
cana-3440	128	9	-	-	PUNCT
cana-3440	128	10	means	means	NOUN
cana-3440	128	11	clustering	clustering	NOUN
cana-3440	128	12	:	:	PUNCT
cana-3440	128	13	initialize	initialize	VERB
cana-3440	128	14	the	the	DET
cana-3440	128	15	k	k	NOUN
cana-3440	128	16	-	-	PUNCT
cana-3440	128	17	means	means	NOUN
cana-3440	128	18	algorithm	algorithm	NOUN
cana-3440	128	19	with	with	ADP
cana-3440	128	20	the	the	DET
cana-3440	128	21	desired	desire	VERB
cana-3440	128	22	number	number	NOUN
cana-3440	128	23	of	of	ADP
cana-3440	128	24	clusters	cluster	NOUN
cana-3440	128	25	,	,	PUNCT
cana-3440	128	26	fit	fit	VERB
cana-3440	128	27	it	it	PRON
cana-3440	128	28	to	to	ADP
cana-3440	128	29	the	the	DET
cana-3440	128	30	scaled	scale	VERB
cana-3440	128	31	data	datum	NOUN
cana-3440	128	32	,	,	PUNCT
cana-3440	128	33	assign	assign	NOUN
cana-3440	128	34	cluster	cluster	NOUN
cana-3440	128	35	labels	label	NOUN
cana-3440	128	36	,	,	PUNCT
cana-3440	128	37	and	and	CCONJ
cana-3440	128	38	display	display	VERB
cana-3440	128	39	the	the	DET
cana-3440	128	40	clustering	cluster	VERB
cana-3440	128	41	results	result	NOUN
cana-3440	128	42	.	.	PUNCT
cana-3440	129	1	initialize	initialize	VERB
cana-3440	129	2	k	k	NOUN
cana-3440	129	3	-	-	PUNCT
cana-3440	129	4	means	mean	NOUN
cana-3440	129	5	:	:	PUNCT
cana-3440	129	6	the	the	DET
cana-3440	129	7	k	k	NOUN
cana-3440	129	8	-	-	PUNCT
cana-3440	129	9	means	means	NOUN
cana-3440	129	10	object	object	NOUN
cana-3440	129	11	is	be	AUX
cana-3440	129	12	initialized	initialize	VERB
cana-3440	129	13	with	with	ADP
cana-3440	129	14	the	the	DET
cana-3440	129	15	specified	specified	ADJ
cana-3440	129	16	number	number	NOUN
cana-3440	129	17	of	of	ADP
cana-3440	129	18	clusters	cluster	NOUN
cana-3440	129	19	(	(	PUNCT
cana-3440	129	20	e.g.	e.g.	ADV
cana-3440	129	21	,	,	PUNCT
cana-3440	129	22	3	3	NUM
cana-3440	129	23	)	)	PUNCT
cana-3440	129	24	and	and	CCONJ
cana-3440	129	25	a	a	DET
cana-3440	129	26	random	random	ADJ
cana-3440	129	27	state	state	NOUN
cana-3440	129	28	for	for	ADP
cana-3440	129	29	reproducibility	reproducibility	NOUN
cana-3440	129	30	.	.	PUNCT
cana-3440	130	1	fit	fit	VERB
cana-3440	130	2	the	the	DET
cana-3440	130	3	model	model	NOUN
cana-3440	130	4	:	:	PUNCT
cana-3440	130	5	the	the	DET
cana-3440	130	6	k	k	NOUN
cana-3440	130	7	-	-	PUNCT
cana-3440	130	8	means	means	NOUN
cana-3440	130	9	algorithm	algorithm	NOUN
cana-3440	130	10	is	be	AUX
cana-3440	130	11	applied	apply	VERB
cana-3440	130	12	to	to	ADP
cana-3440	130	13	the	the	DET
cana-3440	130	14	standardized	standardized	ADJ
cana-3440	130	15	data	datum	NOUN
cana-3440	130	16	(	(	PUNCT
cana-3440	130	17	xscaled	xscale	VERB
cana-3440	130	18	)	)	PUNCT
cana-3440	130	19	,	,	PUNCT
cana-3440	130	20	which	which	PRON
cana-3440	130	21	clusters	cluster	VERB
cana-3440	130	22	the	the	DET
cana-3440	130	23	data	datum	NOUN
cana-3440	130	24	into	into	ADP
cana-3440	130	25	the	the	DET
cana-3440	130	26	specified	specified	ADJ
cana-3440	130	27	number	number	NOUN
cana-3440	130	28	of	of	ADP
cana-3440	130	29	clusters	cluster	NOUN
cana-3440	130	30	.	.	PUNCT
cana-3440	131	1	assign	assign	NOUN
cana-3440	131	2	cluster	cluster	NOUN
cana-3440	131	3	labels	label	NOUN
cana-3440	131	4	:	:	PUNCT
cana-3440	131	5	the	the	DET
cana-3440	131	6	resulting	result	VERB
cana-3440	131	7	cluster	cluster	NOUN
cana-3440	131	8	labels	label	NOUN
cana-3440	131	9	are	be	AUX
cana-3440	131	10	assigned	assign	VERB
cana-3440	131	11	to	to	ADP
cana-3440	131	12	the	the	DET
cana-3440	131	13	original	original	ADJ
cana-3440	131	14	dataset	dataset	NOUN
cana-3440	131	15	in	in	ADP
cana-3440	131	16	a	a	DET
cana-3440	131	17	new	new	ADJ
cana-3440	131	18	column	column	NOUN
cana-3440	131	19	named	name	VERB
cana-3440	131	20	’	'	PUNCT
cana-3440	131	21	cluster	cluster	NOUN
cana-3440	131	22	’	'	PUNCT
cana-3440	131	23	.	.	PUNCT
cana-3440	132	1	display	display	NOUN
cana-3440	132	2	clustering	clustering	NOUN
cana-3440	132	3	results	result	NOUN
cana-3440	132	4	:	:	PUNCT
cana-3440	132	5	the	the	DET
cana-3440	132	6	distribution	distribution	NOUN
cana-3440	132	7	of	of	ADP
cana-3440	132	8	data	datum	NOUN
cana-3440	132	9	points	point	NOUN
cana-3440	132	10	across	across	ADP
cana-3440	132	11	the	the	DET
cana-3440	132	12	clusters	cluster	NOUN
cana-3440	132	13	is	be	AUX
cana-3440	132	14	displayed	display	VERB
cana-3440	132	15	using	use	VERB
cana-3440	132	16	the	the	DET
cana-3440	132	17	value	value	NOUN
cana-3440	132	18	counts	count	NOUN
cana-3440	132	19	(	(	PUNCT
cana-3440	132	20	)	)	PUNCT
cana-3440	132	21	method	method	NOUN
cana-3440	132	22	.	.	PUNCT
cana-3440	133	1	communications	communication	NOUN
cana-3440	133	2	on	on	ADP
cana-3440	133	3	applied	apply	VERB
cana-3440	133	4	nonlinear	nonlinear	ADJ
cana-3440	133	5	analysis	analysis	NOUN
cana-3440	133	6	issn	issn	NOUN
cana-3440	133	7	:	:	PUNCT
cana-3440	133	8	1074	1074	NUM
cana-3440	133	9	-	-	PUNCT
cana-3440	133	10	133x	133x	NUM
cana-3440	133	11	vol	vol	NOUN
cana-3440	133	12	32	32	NUM
cana-3440	133	13	no	no	NOUN
cana-3440	133	14	.	.	PUNCT
cana-3440	134	1	7s	7	NOUN
cana-3440	134	2	(	(	PUNCT
cana-3440	134	3	2025	2025	NUM
cana-3440	134	4	)	)	PUNCT
cana-3440	134	5	410	410	NUM
cana-3440	134	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	134	7	this	this	DET
cana-3440	134	8	step	step	NOUN
cana-3440	134	9	completes	complete	VERB
cana-3440	134	10	the	the	DET
cana-3440	134	11	k	k	NOUN
cana-3440	134	12	-	-	PUNCT
cana-3440	134	13	means	mean	VERB
cana-3440	134	14	clustering	clustering	NOUN
cana-3440	134	15	process	process	NOUN
cana-3440	134	16	,	,	PUNCT
cana-3440	134	17	allowing	allow	VERB
cana-3440	134	18	us	we	PRON
cana-3440	134	19	to	to	PART
cana-3440	134	20	analyze	analyze	VERB
cana-3440	134	21	the	the	DET
cana-3440	134	22	clustering	clustering	ADJ
cana-3440	134	23	results	result	NOUN
cana-3440	134	24	within	within	ADP
cana-3440	134	25	our	our	PRON
cana-3440	134	26	dataset	dataset	NOUN
cana-3440	134	27	.	.	PUNCT
cana-3440	135	1	fifth	fifth	ADJ
cana-3440	135	2	step	step	NOUN
cana-3440	135	3	:	:	PUNCT
cana-3440	135	4	visualizing	visualize	VERB
cana-3440	135	5	clusters	cluster	NOUN
cana-3440	135	6	with	with	ADP
cana-3440	135	7	a	a	DET
cana-3440	135	8	3d	3d	NUM
cana-3440	135	9	scatter	scatter	NOUN
cana-3440	135	10	plot	plot	NOUN
cana-3440	135	11	3d	3d	NUM
cana-3440	135	12	scatter	scatter	NOUN
cana-3440	135	13	plot	plot	NOUN
cana-3440	135	14	for	for	ADP
cana-3440	135	15	k	k	NOUN
cana-3440	135	16	-	-	PUNCT
cana-3440	135	17	means	means	NOUN
cana-3440	135	18	clustering	clustering	NOUN
cana-3440	135	19	:	:	PUNCT
cana-3440	135	20	create	create	VERB
cana-3440	135	21	a	a	DET
cana-3440	135	22	3d	3d	NUM
cana-3440	135	23	scatter	scatter	NOUN
cana-3440	135	24	plot	plot	NOUN
cana-3440	135	25	to	to	PART
cana-3440	135	26	visualize	visualize	VERB
cana-3440	135	27	the	the	DET
cana-3440	135	28	clusters	cluster	NOUN
cana-3440	135	29	formed	form	VERB
cana-3440	135	30	by	by	ADP
cana-3440	135	31	the	the	DET
cana-3440	135	32	k	k	PROPN
cana-3440	135	33	-	-	PUNCT
cana-3440	135	34	means	means	NOUN
cana-3440	135	35	algorithm	algorithm	NOUN
cana-3440	135	36	,	,	PUNCT
cana-3440	135	37	including	include	VERB
cana-3440	135	38	the	the	DET
cana-3440	135	39	cluster	cluster	NOUN
cana-3440	135	40	centers	center	NOUN
cana-3440	135	41	.	.	PUNCT
cana-3440	136	1	import	import	NOUN
cana-3440	136	2	libraries	library	NOUN
cana-3440	136	3	:	:	PUNCT
cana-3440	136	4	import	import	VERB
cana-3440	136	5	the	the	DET
cana-3440	136	6	axes3d	axes3d	ADJ
cana-3440	136	7	module	module	NOUN
cana-3440	136	8	from	from	ADP
cana-3440	136	9	mpl	mpl	NOUN
cana-3440	136	10	toolkits.mplot3d	toolkits.mplot3d	NUM
cana-3440	136	11	and	and	CCONJ
cana-3440	136	12	matplotlib.pyplot	matplotlib.pyplot	NOUN
cana-3440	136	13	for	for	ADP
cana-3440	136	14	plotting	plot	VERB
cana-3440	136	15	.	.	PUNCT
cana-3440	137	1	create	create	VERB
cana-3440	137	2	3d	3d	NUM
cana-3440	137	3	scatter	scatter	NOUN
cana-3440	137	4	plot	plot	NOUN
cana-3440	137	5	:	:	PUNCT
cana-3440	137	6	initialize	initialize	VERB
cana-3440	137	7	a	a	DET
cana-3440	137	8	figure	figure	NOUN
cana-3440	137	9	and	and	CCONJ
cana-3440	137	10	a	a	DET
cana-3440	137	11	3d	3d	NUM
cana-3440	137	12	subplot	subplot	NOUN
cana-3440	137	13	.	.	PUNCT
cana-3440	138	1	plot	plot	VERB
cana-3440	138	2	the	the	DET
cana-3440	138	3	clusters	cluster	NOUN
cana-3440	138	4	using	use	VERB
cana-3440	138	5	a	a	DET
cana-3440	138	6	scatter	scatter	NOUN
cana-3440	138	7	plot	plot	NOUN
cana-3440	138	8	where	where	SCONJ
cana-3440	138	9	each	each	DET
cana-3440	138	10	data	data	NOUN
cana-3440	138	11	point	point	NOUN
cana-3440	138	12	is	be	AUX
cana-3440	138	13	color	color	NOUN
cana-3440	138	14	-	-	PUNCT
cana-3440	138	15	coded	code	VERB
cana-3440	138	16	based	base	VERB
cana-3440	138	17	on	on	ADP
cana-3440	138	18	its	its	PRON
cana-3440	138	19	cluster	cluster	NOUN
cana-3440	138	20	label	label	NOUN
cana-3440	138	21	.	.	PUNCT
cana-3440	139	1	plot	plot	VERB
cana-3440	139	2	the	the	DET
cana-3440	139	3	cluster	cluster	NOUN
cana-3440	139	4	centroids	centroid	NOUN
cana-3440	139	5	with	with	ADP
cana-3440	139	6	distinct	distinct	ADJ
cana-3440	139	7	markers	marker	NOUN
cana-3440	139	8	.	.	PUNCT
cana-3440	140	1	add	add	VERB
cana-3440	140	2	titles	title	NOUN
cana-3440	140	3	and	and	CCONJ
cana-3440	140	4	labels	label	NOUN
cana-3440	140	5	:	:	PUNCT
cana-3440	140	6	set	set	VERB
cana-3440	140	7	the	the	DET
cana-3440	140	8	title	title	NOUN
cana-3440	140	9	and	and	CCONJ
cana-3440	140	10	labels	label	NOUN
cana-3440	140	11	for	for	ADP
cana-3440	140	12	each	each	DET
cana-3440	140	13	axis	axis	NOUN
cana-3440	140	14	to	to	PART
cana-3440	140	15	make	make	VERB
cana-3440	140	16	the	the	DET
cana-3440	140	17	plot	plot	NOUN
cana-3440	140	18	understandable	understandable	ADJ
cana-3440	140	19	.	.	PUNCT
cana-3440	141	1	display	display	VERB
cana-3440	141	2	the	the	DET
cana-3440	141	3	legend	legend	NOUN
cana-3440	141	4	and	and	CCONJ
cana-3440	141	5	grid	grid	NOUN
cana-3440	141	6	:	:	PUNCT
cana-3440	141	7	add	add	VERB
cana-3440	141	8	a	a	DET
cana-3440	141	9	legend	legend	NOUN
cana-3440	141	10	to	to	PART
cana-3440	141	11	distinguish	distinguish	VERB
cana-3440	141	12	the	the	DET
cana-3440	141	13	centroids	centroid	NOUN
cana-3440	141	14	from	from	ADP
cana-3440	141	15	the	the	DET
cana-3440	141	16	data	data	NOUN
cana-3440	141	17	points	point	NOUN
cana-3440	141	18	and	and	CCONJ
cana-3440	141	19	enable	enable	VERB
cana-3440	141	20	the	the	DET
cana-3440	141	21	grid	grid	NOUN
cana-3440	141	22	for	for	ADP
cana-3440	141	23	better	well	ADJ
cana-3440	141	24	visualization	visualization	NOUN
cana-3440	141	25	.	.	PUNCT
cana-3440	142	1	show	show	VERB
cana-3440	142	2	the	the	DET
cana-3440	142	3	plot	plot	NOUN
cana-3440	142	4	:	:	PUNCT
cana-3440	142	5	render	render	VERB
cana-3440	142	6	the	the	DET
cana-3440	142	7	plot	plot	NOUN
cana-3440	142	8	on	on	ADP
cana-3440	142	9	the	the	DET
cana-3440	142	10	screen	screen	NOUN
cana-3440	142	11	.	.	PUNCT
cana-3440	143	1	this	this	DET
cana-3440	143	2	step	step	NOUN
cana-3440	143	3	will	will	AUX
cana-3440	143	4	help	help	VERB
cana-3440	143	5	us	we	PRON
cana-3440	143	6	to	to	PART
cana-3440	143	7	visualize	visualize	VERB
cana-3440	143	8	the	the	DET
cana-3440	143	9	clustering	clustering	ADJ
cana-3440	143	10	results	result	NOUN
cana-3440	143	11	in	in	ADP
cana-3440	143	12	a	a	DET
cana-3440	143	13	3d	3d	NUM
cana-3440	143	14	space	space	NOUN
cana-3440	143	15	,	,	PUNCT
cana-3440	143	16	making	make	VERB
cana-3440	143	17	it	it	PRON
cana-3440	143	18	easier	easy	ADJ
cana-3440	143	19	to	to	PART
cana-3440	143	20	analyze	analyze	VERB
cana-3440	143	21	the	the	DET
cana-3440	143	22	clustering	clustering	ADJ
cana-3440	143	23	performance	performance	NOUN
cana-3440	143	24	and	and	CCONJ
cana-3440	143	25	understand	understand	VERB
cana-3440	143	26	the	the	DET
cana-3440	143	27	data	datum	NOUN
cana-3440	143	28	distribution	distribution	NOUN
cana-3440	143	29	.	.	PUNCT
cana-3440	144	1	sixth	sixth	ADJ
cana-3440	144	2	step	step	NOUN
cana-3440	144	3	:	:	PUNCT
cana-3440	144	4	2d	2d	NUM
cana-3440	144	5	visualization	visualization	NOUN
cana-3440	144	6	of	of	ADP
cana-3440	144	7	k	k	NOUN
cana-3440	144	8	-	-	PUNCT
cana-3440	144	9	means	means	NOUN
cana-3440	144	10	clustering	clustering	NOUN
cana-3440	144	11	(	(	PUNCT
cana-3440	144	12	fbs	fbs	X
cana-3440	144	13	vs	vs	ADP
cana-3440	144	14	ppbs	ppb	NOUN
cana-3440	144	15	)	)	PUNCT
cana-3440	144	16	plotting	plot	VERB
cana-3440	144	17	the	the	DET
cana-3440	144	18	clusters	cluster	NOUN
cana-3440	144	19	using	use	VERB
cana-3440	144	20	fbs	fb	NOUN
cana-3440	144	21	and	and	CCONJ
cana-3440	144	22	ppbs	ppb	NOUN
cana-3440	144	23	as	as	ADP
cana-3440	144	24	the	the	DET
cana-3440	144	25	axes	axis	NOUN
cana-3440	144	26	:	:	PUNCT
cana-3440	144	27	create	create	VERB
cana-3440	144	28	a	a	DET
cana-3440	144	29	2d	2d	NUM
cana-3440	144	30	scatter	scatter	NOUN
cana-3440	144	31	plot	plot	NOUN
cana-3440	144	32	to	to	PART
cana-3440	144	33	visualize	visualize	VERB
cana-3440	144	34	the	the	DET
cana-3440	144	35	clusters	cluster	NOUN
cana-3440	144	36	formed	form	VERB
cana-3440	144	37	by	by	ADP
cana-3440	144	38	the	the	DET
cana-3440	144	39	k	k	PROPN
cana-3440	144	40	-	-	PUNCT
cana-3440	144	41	means	means	NOUN
cana-3440	144	42	algorithm	algorithm	NOUN
cana-3440	144	43	using	use	VERB
cana-3440	144	44	fbs	fb	NOUN
cana-3440	144	45	and	and	CCONJ
cana-3440	144	46	ppbs	ppb	NOUN
cana-3440	144	47	as	as	ADP
cana-3440	144	48	the	the	DET
cana-3440	144	49	axes	axis	NOUN
cana-3440	144	50	.	.	PUNCT
cana-3440	145	1	create	create	VERB
cana-3440	145	2	2d	2d	NUM
cana-3440	145	3	scatter	scatter	NOUN
cana-3440	145	4	plot	plot	NOUN
cana-3440	145	5	:	:	PUNCT
cana-3440	145	6	initialize	initialize	VERB
cana-3440	145	7	a	a	DET
cana-3440	145	8	2d	2d	NUM
cana-3440	145	9	scatter	scatter	NOUN
cana-3440	145	10	plot	plot	NOUN
cana-3440	145	11	with	with	ADP
cana-3440	145	12	a	a	DET
cana-3440	145	13	specified	specify	VERB
cana-3440	145	14	figure	figure	NOUN
cana-3440	145	15	size	size	NOUN
cana-3440	145	16	.	.	PUNCT
cana-3440	146	1	plot	plot	NOUN
cana-3440	146	2	clusters	cluster	NOUN
cana-3440	146	3	:	:	PUNCT
cana-3440	146	4	the	the	DET
cana-3440	146	5	first	first	ADJ
cana-3440	146	6	scatter	scatter	NOUN
cana-3440	146	7	plot	plot	NOUN
cana-3440	146	8	displays	display	VERB
cana-3440	146	9	the	the	DET
cana-3440	146	10	data	data	NOUN
cana-3440	146	11	points	point	NOUN
cana-3440	146	12	,	,	PUNCT
cana-3440	146	13	colored	color	VERB
cana-3440	146	14	by	by	ADP
cana-3440	146	15	their	their	PRON
cana-3440	146	16	cluster	cluster	NOUN
cana-3440	146	17	labels	label	NOUN
cana-3440	146	18	.	.	PUNCT
cana-3440	147	1	the	the	DET
cana-3440	147	2	second	second	ADJ
cana-3440	147	3	scatter	scatter	NOUN
cana-3440	147	4	plot	plot	NOUN
cana-3440	147	5	shows	show	VERB
cana-3440	147	6	the	the	DET
cana-3440	147	7	cluster	cluster	NOUN
cana-3440	147	8	centroids	centroid	NOUN
cana-3440	147	9	with	with	ADP
cana-3440	147	10	distinct	distinct	ADJ
cana-3440	147	11	markers	marker	NOUN
cana-3440	147	12	and	and	CCONJ
cana-3440	147	13	colors	color	NOUN
cana-3440	147	14	.	.	PUNCT
cana-3440	148	1	add	add	VERB
cana-3440	148	2	titles	title	NOUN
cana-3440	148	3	and	and	CCONJ
cana-3440	148	4	labels	label	NOUN
cana-3440	148	5	:	:	PUNCT
cana-3440	148	6	titles	title	NOUN
cana-3440	148	7	and	and	CCONJ
cana-3440	148	8	axis	axis	ADJ
cana-3440	148	9	labels	label	NOUN
cana-3440	148	10	are	be	AUX
cana-3440	148	11	added	add	VERB
cana-3440	148	12	to	to	PART
cana-3440	148	13	clearly	clearly	ADV
cana-3440	148	14	describe	describe	VERB
cana-3440	148	15	the	the	DET
cana-3440	148	16	plot	plot	NOUN
cana-3440	148	17	.	.	PUNCT
cana-3440	149	1	display	display	NOUN
cana-3440	149	2	legend	legend	NOUN
cana-3440	149	3	and	and	CCONJ
cana-3440	149	4	grid	grid	NOUN
cana-3440	149	5	:	:	PUNCT
cana-3440	149	6	a	a	DET
cana-3440	149	7	legend	legend	NOUN
cana-3440	149	8	is	be	AUX
cana-3440	149	9	included	include	VERB
cana-3440	149	10	to	to	PART
cana-3440	149	11	differentiate	differentiate	VERB
cana-3440	149	12	between	between	ADP
cana-3440	149	13	data	datum	NOUN
cana-3440	149	14	points	point	NOUN
cana-3440	149	15	and	and	CCONJ
cana-3440	149	16	centroids	centroid	NOUN
cana-3440	149	17	.	.	PUNCT
cana-3440	150	1	the	the	DET
cana-3440	150	2	grid	grid	NOUN
cana-3440	150	3	is	be	AUX
cana-3440	150	4	enabled	enable	VERB
cana-3440	150	5	for	for	ADP
cana-3440	150	6	better	well	ADJ
cana-3440	150	7	visualization	visualization	NOUN
cana-3440	150	8	.	.	PUNCT
cana-3440	151	1	show	show	VERB
cana-3440	151	2	the	the	DET
cana-3440	151	3	plot	plot	NOUN
cana-3440	151	4	:	:	PUNCT
cana-3440	151	5	render	render	VERB
cana-3440	151	6	the	the	DET
cana-3440	151	7	plot	plot	NOUN
cana-3440	151	8	on	on	ADP
cana-3440	151	9	the	the	DET
cana-3440	151	10	screen	screen	NOUN
cana-3440	151	11	.	.	PUNCT
cana-3440	152	1	this	this	DET
cana-3440	152	2	visualization	visualization	NOUN
cana-3440	152	3	helps	help	VERB
cana-3440	152	4	in	in	ADP
cana-3440	152	5	understanding	understand	VERB
cana-3440	152	6	the	the	DET
cana-3440	152	7	distribution	distribution	NOUN
cana-3440	152	8	of	of	ADP
cana-3440	152	9	clusters	cluster	NOUN
cana-3440	152	10	with	with	ADP
cana-3440	152	11	respect	respect	NOUN
cana-3440	152	12	to	to	ADP
cana-3440	152	13	fbs	fbs	PROPN
cana-3440	152	14	and	and	CCONJ
cana-3440	152	15	ppbs	ppb	NOUN
cana-3440	152	16	,	,	PUNCT
cana-3440	152	17	providing	provide	VERB
cana-3440	152	18	clear	clear	ADJ
cana-3440	152	19	insights	insight	NOUN
cana-3440	152	20	into	into	ADP
cana-3440	152	21	the	the	DET
cana-3440	152	22	clustering	clustering	ADJ
cana-3440	152	23	results	result	NOUN
cana-3440	152	24	.	.	PUNCT
cana-3440	153	1	seventh	seventh	ADJ
cana-3440	153	2	step	step	NOUN
cana-3440	153	3	:	:	PUNCT
cana-3440	153	4	2d	2d	NUM
cana-3440	153	5	visualization	visualization	NOUN
cana-3440	153	6	of	of	ADP
cana-3440	153	7	k	k	NOUN
cana-3440	153	8	-	-	PUNCT
cana-3440	153	9	means	mean	VERB
cana-3440	153	10	clustering	clustering	NOUN
cana-3440	153	11	(	(	PUNCT
cana-3440	153	12	ppbs	ppb	NOUN
cana-3440	153	13	vs	vs	ADP
cana-3440	153	14	rbs	rbs	PROPN
cana-3440	153	15	)	)	PUNCT
cana-3440	153	16	this	this	DET
cana-3440	153	17	visualization	visualization	NOUN
cana-3440	153	18	focuses	focus	VERB
cana-3440	153	19	on	on	ADP
cana-3440	153	20	the	the	DET
cana-3440	153	21	relationship	relationship	NOUN
cana-3440	153	22	between	between	ADP
cana-3440	153	23	ppbs	ppb	NOUN
cana-3440	153	24	and	and	CCONJ
cana-3440	153	25	rbs	rbs	PROPN
cana-3440	153	26	,	,	PUNCT
cana-3440	153	27	providing	provide	VERB
cana-3440	153	28	another	another	DET
cana-3440	153	29	perspective	perspective	NOUN
cana-3440	153	30	on	on	ADP
cana-3440	153	31	the	the	DET
cana-3440	153	32	clustering	clustering	ADJ
cana-3440	153	33	results	result	NOUN
cana-3440	153	34	.	.	PUNCT
cana-3440	154	1	communications	communication	NOUN
cana-3440	154	2	on	on	ADP
cana-3440	154	3	applied	apply	VERB
cana-3440	154	4	nonlinear	nonlinear	ADJ
cana-3440	154	5	analysis	analysis	NOUN
cana-3440	154	6	issn	issn	NOUN
cana-3440	154	7	:	:	PUNCT
cana-3440	154	8	1074	1074	NUM
cana-3440	154	9	-	-	PUNCT
cana-3440	154	10	133x	133x	NUM
cana-3440	154	11	vol	vol	NOUN
cana-3440	154	12	32	32	NUM
cana-3440	154	13	no	no	NOUN
cana-3440	154	14	.	.	PUNCT
cana-3440	155	1	7s	7	NOUN
cana-3440	155	2	(	(	PUNCT
cana-3440	155	3	2025	2025	NUM
cana-3440	155	4	)	)	PUNCT
cana-3440	155	5	411	411	NUM
cana-3440	155	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	155	7	eighth	eighth	ADJ
cana-3440	155	8	step	step	NOUN
cana-3440	155	9	:	:	PUNCT
cana-3440	155	10	2d	2d	NUM
cana-3440	155	11	visualization	visualization	NOUN
cana-3440	155	12	of	of	ADP
cana-3440	155	13	k	k	NOUN
cana-3440	155	14	-	-	PUNCT
cana-3440	155	15	means	means	NOUN
cana-3440	155	16	clustering(fbs	clustering(fbs	PROPN
cana-3440	155	17	vs	vs	ADP
cana-3440	155	18	rbs	rbs	PROPN
cana-3440	155	19	)	)	PUNCT
cana-3440	155	20	this	this	DET
cana-3440	155	21	visualization	visualization	NOUN
cana-3440	155	22	exhibits	exhibit	VERB
cana-3440	155	23	the	the	DET
cana-3440	155	24	relation	relation	NOUN
cana-3440	155	25	between	between	ADP
cana-3440	155	26	fbs	fbs	PROPN
cana-3440	155	27	and	and	CCONJ
cana-3440	155	28	rbs	rbs	PROPN
cana-3440	155	29	.	.	PROPN
cana-3440	155	30	3.3	3.3	NUM
cana-3440	155	31	algorithm	algorithm	NOUN
cana-3440	155	32	in	in	ADP
cana-3440	155	33	table	table	NOUN
cana-3440	155	34	format	format	NOUN
cana-3440	155	35	table	table	NOUN
cana-3440	155	36	1	1	NUM
cana-3440	155	37	:	:	PUNCT
cana-3440	155	38	algorithm	algorithm	NOUN
cana-3440	155	39	steps	step	NOUN
cana-3440	155	40	step	step	VERB
cana-3440	155	41	no	no	INTJ
cana-3440	155	42	.	.	PUNCT
cana-3440	156	1	algorithm	algorithm	PROPN
cana-3440	156	2	idea	idea	NOUN
cana-3440	156	3	illustration	illustration	NOUN
cana-3440	156	4	step	step	NOUN
cana-3440	156	5	1	1	NUM
cana-3440	156	6	initialization	initialization	NOUN
cana-3440	156	7	and	and	CCONJ
cana-3440	156	8	importing	import	VERB
cana-3440	156	9	libraries	library	NOUN
cana-3440	156	10	in	in	ADP
cana-3440	156	11	coding	code	VERB
cana-3440	156	12	step	step	NOUN
cana-3440	156	13	2	2	NUM
cana-3440	156	14	loading	loading	NOUN
cana-3440	156	15	and	and	CCONJ
cana-3440	156	16	displaying	display	VERB
cana-3440	156	17	the	the	DET
cana-3440	156	18	dataset	dataset	ADJ
cana-3440	156	19	csv	csv	NOUN
cana-3440	156	20	file	file	NOUN
cana-3440	156	21	of	of	ADP
cana-3440	156	22	our	our	PRON
cana-3440	156	23	dataset(figure	dataset(figure	PROPN
cana-3440	156	24	2	2	NUM
cana-3440	156	25	shows	show	VERB
cana-3440	156	26	5	5	NUM
cana-3440	156	27	patient	patient	NOUN
cana-3440	156	28	’s	’s	PART
cana-3440	156	29	report	report	NOUN
cana-3440	156	30	)	)	PUNCT
cana-3440	156	31	step	step	NOUN
cana-3440	156	32	3	3	NUM
cana-3440	156	33	extracting	extract	VERB
cana-3440	156	34	features	feature	NOUN
cana-3440	156	35	and	and	CCONJ
cana-3440	156	36	target	target	NOUN
cana-3440	156	37	,	,	PUNCT
cana-3440	156	38	standardizing	standardize	VERB
cana-3440	156	39	data	datum	NOUN
cana-3440	156	40	fbs	fb	VERB
cana-3440	156	41	,	,	PUNCT
cana-3440	156	42	ppbs	ppb	NOUN
cana-3440	156	43	,	,	PUNCT
cana-3440	156	44	rbs	rbs	PROPN
cana-3440	156	45	,	,	PUNCT
cana-3440	156	46	gender	gender	NOUN
cana-3440	156	47	step	step	NOUN
cana-3440	156	48	4	4	NUM
cana-3440	156	49	k	k	NOUN
cana-3440	156	50	-	-	PUNCT
cana-3440	156	51	means	mean	VERB
cana-3440	156	52	clustering	clustering	ADJ
cana-3440	156	53	figure	figure	NOUN
cana-3440	156	54	3	3	NUM
cana-3440	156	55	step	step	NOUN
cana-3440	156	56	5	5	NUM
cana-3440	156	57	visualizing	visualize	VERB
cana-3440	156	58	clusters	cluster	NOUN
cana-3440	156	59	with	with	ADP
cana-3440	156	60	a	a	DET
cana-3440	156	61	3d	3d	NUM
cana-3440	156	62	scatter	scatter	NOUN
cana-3440	156	63	plot	plot	NOUN
cana-3440	156	64	figure	figure	NOUN
cana-3440	156	65	4	4	NUM
cana-3440	156	66	step	step	NOUN
cana-3440	156	67	6	6	NUM
cana-3440	156	68	2d	2d	NOUN
cana-3440	156	69	visualization	visualization	NOUN
cana-3440	156	70	of	of	ADP
cana-3440	156	71	kmeans	kmean	NOUN
cana-3440	156	72	clustering	cluster	VERB
cana-3440	156	73	(	(	PUNCT
cana-3440	156	74	fbs	fbs	X
cana-3440	156	75	vs	vs	ADP
cana-3440	156	76	ppbs	ppb	NOUN
cana-3440	156	77	)	)	PUNCT
cana-3440	156	78	figure	figure	NOUN
cana-3440	156	79	6	6	NUM
cana-3440	156	80	step	step	NOUN
cana-3440	156	81	7	7	NUM
cana-3440	156	82	2d	2d	NOUN
cana-3440	156	83	visualization	visualization	NOUN
cana-3440	156	84	of	of	ADP
cana-3440	156	85	kmeans	kmean	NOUN
cana-3440	156	86	clustering	cluster	VERB
cana-3440	156	87	(	(	PUNCT
cana-3440	156	88	ppbs	ppb	NOUN
cana-3440	156	89	vs	vs	ADP
cana-3440	156	90	rbs	rbs	PROPN
cana-3440	156	91	)	)	PUNCT
cana-3440	156	92	figure	figure	NOUN
cana-3440	156	93	7	7	NUM
cana-3440	156	94	step	step	NOUN
cana-3440	156	95	8	8	NUM
cana-3440	156	96	2d	2d	NOUN
cana-3440	156	97	visualization	visualization	NOUN
cana-3440	156	98	of	of	ADP
cana-3440	156	99	kmeans	kmean	NOUN
cana-3440	156	100	clustering	cluster	VERB
cana-3440	156	101	(	(	PUNCT
cana-3440	156	102	fbs	fbs	X
cana-3440	156	103	vs	vs	ADP
cana-3440	156	104	rbs	rbs	PROPN
cana-3440	156	105	)	)	PUNCT
cana-3440	156	106	figure	figure	NOUN
cana-3440	156	107	8	8	NUM
cana-3440	156	108	4	4	NUM
cana-3440	156	109	observations	observation	NOUN
cana-3440	156	110	in	in	ADP
cana-3440	156	111	the	the	DET
cana-3440	156	112	observation	observation	NOUN
cana-3440	156	113	section	section	NOUN
cana-3440	156	114	we	we	PRON
cana-3440	156	115	are	be	AUX
cana-3440	156	116	displaying	display	VERB
cana-3440	156	117	the	the	DET
cana-3440	156	118	first	first	ADJ
cana-3440	156	119	5	5	NUM
cana-3440	156	120	rows	row	NOUN
cana-3440	156	121	of	of	ADP
cana-3440	156	122	the	the	DET
cana-3440	156	123	datasets	dataset	NOUN
cana-3440	156	124	in	in	ADP
cana-3440	156	125	figure	figure	NOUN
cana-3440	156	126	1	1	NUM
cana-3440	156	127	as	as	SCONJ
cana-3440	156	128	the	the	DET
cana-3440	156	129	complete	complete	ADJ
cana-3440	156	130	exhibition	exhibition	NOUN
cana-3440	156	131	(	(	PUNCT
cana-3440	156	132	1050	1050	NUM
cana-3440	156	133	patients	patient	NOUN
cana-3440	156	134	reports	report	VERB
cana-3440	156	135	)	)	PUNCT
cana-3440	156	136	is	be	AUX
cana-3440	156	137	a	a	DET
cana-3440	156	138	little	little	ADJ
cana-3440	156	139	bit	bit	NOUN
cana-3440	156	140	difficult	difficult	ADJ
cana-3440	156	141	task	task	NOUN
cana-3440	156	142	.	.	PUNCT
cana-3440	157	1	figure	figure	NOUN
cana-3440	157	2	1	1	NUM
cana-3440	157	3	:	:	PUNCT
cana-3440	157	4	datasets	dataset	NOUN
cana-3440	157	5	of	of	ADP
cana-3440	157	6	the	the	DET
cana-3440	157	7	first	first	ADJ
cana-3440	157	8	5	5	NUM
cana-3440	157	9	patients	patient	NOUN
cana-3440	157	10	figure	figure	VERB
cana-3440	157	11	2	2	NUM
cana-3440	157	12	:	:	PUNCT
cana-3440	157	13	display	display	NOUN
cana-3440	157	14	of	of	ADP
cana-3440	157	15	clustering	clustering	ADJ
cana-3440	157	16	value	value	NOUN
cana-3440	157	17	count	count	NOUN
cana-3440	157	18	figure	figure	NOUN
cana-3440	157	19	3	3	NUM
cana-3440	157	20	:	:	PUNCT
cana-3440	157	21	fbs	fbs	X
cana-3440	157	22	vs	vs	ADP
cana-3440	157	23	ppbs	ppb	NOUN
cana-3440	157	24	vs	vs	ADP
cana-3440	157	25	rbs	rbs	PROPN
cana-3440	157	26	figure	figure	NOUN
cana-3440	157	27	4	4	NUM
cana-3440	157	28	:	:	PUNCT
cana-3440	157	29	k	k	PROPN
cana-3440	157	30	means	mean	VERB
cana-3440	157	31	cluster	cluster	NOUN
cana-3440	157	32	centres	centre	NOUN
cana-3440	157	33	communications	communication	NOUN
cana-3440	157	34	on	on	ADP
cana-3440	157	35	applied	apply	VERB
cana-3440	157	36	nonlinear	nonlinear	ADJ
cana-3440	157	37	analysis	analysis	NOUN
cana-3440	157	38	issn	issn	NOUN
cana-3440	157	39	:	:	PUNCT
cana-3440	157	40	1074	1074	NUM
cana-3440	157	41	-	-	PUNCT
cana-3440	157	42	133x	133x	NUM
cana-3440	157	43	vol	vol	NOUN
cana-3440	157	44	32	32	NUM
cana-3440	157	45	no	no	NOUN
cana-3440	157	46	.	.	PUNCT
cana-3440	158	1	7s	7	NOUN
cana-3440	158	2	(	(	PUNCT
cana-3440	158	3	2025	2025	NUM
cana-3440	158	4	)	)	PUNCT
cana-3440	158	5	412	412	NUM
cana-3440	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	158	7	figure	figure	NOUN
cana-3440	158	8	5	5	NUM
cana-3440	158	9	:	:	PUNCT
cana-3440	158	10	fbs	fbs	X
cana-3440	158	11	vs	vs	ADP
cana-3440	158	12	ppbs	ppb	NOUN
cana-3440	158	13	figure	figure	VERB
cana-3440	158	14	6	6	NUM
cana-3440	158	15	:	:	PUNCT
cana-3440	158	16	ppbs	ppb	NOUN
cana-3440	158	17	vs	vs	ADP
cana-3440	158	18	rbs	rbs	PROPN
cana-3440	158	19	results	result	NOUN
cana-3440	158	20	and	and	CCONJ
cana-3440	158	21	discussion	discussion	VERB
cana-3440	158	22	the	the	DET
cana-3440	158	23	application	application	NOUN
cana-3440	158	24	of	of	ADP
cana-3440	158	25	k	k	PROPN
cana-3440	158	26	-	-	PUNCT
cana-3440	158	27	means	means	NOUN
cana-3440	158	28	clustering	cluster	VERB
cana-3440	158	29	to	to	ADP
cana-3440	158	30	the	the	DET
cana-3440	158	31	diabetes	diabetes	NOUN
cana-3440	158	32	dataset	dataset	NOUN
cana-3440	158	33	has	have	AUX
cana-3440	158	34	revealed	reveal	VERB
cana-3440	158	35	distinct	distinct	ADJ
cana-3440	158	36	groupings	grouping	NOUN
cana-3440	158	37	of	of	ADP
cana-3440	158	38	patients	patient	NOUN
cana-3440	158	39	based	base	VERB
cana-3440	158	40	on	on	ADP
cana-3440	158	41	their	their	PRON
cana-3440	158	42	fbs	fbs	ADJ
cana-3440	158	43	,	,	PUNCT
cana-3440	158	44	ppbs	ppb	NOUN
cana-3440	158	45	,	,	PUNCT
cana-3440	158	46	rbs	rbs	NOUN
cana-3440	158	47	,	,	PUNCT
cana-3440	158	48	and	and	CCONJ
cana-3440	158	49	gender	gender	NOUN
cana-3440	158	50	values	value	NOUN
cana-3440	158	51	.	.	PUNCT
cana-3440	159	1	by	by	ADP
cana-3440	159	2	minimizing	minimize	VERB
cana-3440	159	3	the	the	DET
cana-3440	159	4	within	within	ADP
cana-3440	159	5	-	-	PUNCT
cana-3440	159	6	cluster	cluster	NOUN
cana-3440	159	7	sum	sum	NOUN
cana-3440	159	8	of	of	ADP
cana-3440	159	9	squares	square	NOUN
cana-3440	159	10	(	(	PUNCT
cana-3440	159	11	wcss	wcss	PROPN
cana-3440	159	12	)	)	PUNCT
cana-3440	159	13	,	,	PUNCT
cana-3440	159	14	the	the	DET
cana-3440	159	15	algorithm	algorithm	NOUN
cana-3440	159	16	effectively	effectively	ADV
cana-3440	159	17	identified	identify	VERB
cana-3440	159	18	three	three	NUM
cana-3440	159	19	clusters	cluster	NOUN
cana-3440	159	20	,	,	PUNCT
cana-3440	159	21	each	each	PRON
cana-3440	159	22	represented	represent	VERB
cana-3440	159	23	by	by	ADP
cana-3440	159	24	a	a	DET
cana-3440	159	25	centroid	centroid	NOUN
cana-3440	159	26	.	.	PUNCT
cana-3440	160	1	the	the	DET
cana-3440	160	2	centroids	centroid	NOUN
cana-3440	160	3	,	,	PUNCT
cana-3440	160	4	as	as	SCONJ
cana-3440	160	5	calculated	calculate	VERB
cana-3440	160	6	,	,	PUNCT
cana-3440	160	7	figure	figure	NOUN
cana-3440	160	8	7	7	NUM
cana-3440	160	9	:	:	PUNCT
cana-3440	160	10	fbs	fbs	PROPN
cana-3440	160	11	vs	vs	ADP
cana-3440	160	12	rbs	rbs	PROPN
cana-3440	160	13	provide	provide	VERB
cana-3440	160	14	a	a	DET
cana-3440	160	15	clear	clear	ADJ
cana-3440	160	16	mathematical	mathematical	ADJ
cana-3440	160	17	representation	representation	NOUN
cana-3440	160	18	of	of	ADP
cana-3440	160	19	the	the	DET
cana-3440	160	20	central	central	ADJ
cana-3440	160	21	tendencies	tendency	NOUN
cana-3440	160	22	of	of	ADP
cana-3440	160	23	each	each	DET
cana-3440	160	24	cluster	cluster	NOUN
cana-3440	160	25	,	,	PUNCT
cana-3440	160	26	offering	offer	VERB
cana-3440	160	27	insights	insight	NOUN
cana-3440	160	28	into	into	ADP
cana-3440	160	29	the	the	DET
cana-3440	160	30	typical	typical	ADJ
cana-3440	160	31	values	value	NOUN
cana-3440	160	32	and	and	CCONJ
cana-3440	160	33	variation	variation	NOUN
cana-3440	160	34	within	within	ADP
cana-3440	160	35	these	these	DET
cana-3440	160	36	patient	patient	ADJ
cana-3440	160	37	groups	group	NOUN
cana-3440	160	38	.	.	PUNCT
cana-3440	161	1	the	the	DET
cana-3440	161	2	visualizations	visualization	NOUN
cana-3440	161	3	,	,	PUNCT
cana-3440	161	4	including	include	VERB
cana-3440	161	5	both	both	CCONJ
cana-3440	161	6	3d	3d	NOUN
cana-3440	161	7	and	and	CCONJ
cana-3440	161	8	2d	2d	NOUN
cana-3440	161	9	scatter	scatter	NOUN
cana-3440	161	10	plots	plot	NOUN
cana-3440	161	11	,	,	PUNCT
cana-3440	161	12	further	far	ADV
cana-3440	161	13	illustrate	illustrate	VERB
cana-3440	161	14	the	the	DET
cana-3440	161	15	spatial	spatial	ADJ
cana-3440	161	16	distribution	distribution	NOUN
cana-3440	161	17	of	of	ADP
cana-3440	161	18	data	datum	NOUN
cana-3440	161	19	points	point	NOUN
cana-3440	161	20	across	across	ADP
cana-3440	161	21	the	the	DET
cana-3440	161	22	clusters	cluster	NOUN
cana-3440	161	23	.	.	PUNCT
cana-3440	162	1	these	these	DET
cana-3440	162	2	plots	plot	NOUN
cana-3440	162	3	,	,	PUNCT
cana-3440	162	4	which	which	PRON
cana-3440	162	5	show	show	VERB
cana-3440	162	6	the	the	DET
cana-3440	162	7	clustering	cluster	VERB
cana-3440	162	8	boundaries	boundary	NOUN
cana-3440	162	9	and	and	CCONJ
cana-3440	162	10	centroids	centroid	NOUN
cana-3440	162	11	,	,	PUNCT
cana-3440	162	12	allow	allow	VERB
cana-3440	162	13	for	for	ADP
cana-3440	162	14	a	a	DET
cana-3440	162	15	better	well	ADJ
cana-3440	162	16	understanding	understanding	NOUN
cana-3440	162	17	of	of	ADP
cana-3440	162	18	how	how	SCONJ
cana-3440	162	19	the	the	DET
cana-3440	162	20	data	data	NOUN
cana-3440	162	21	is	be	AUX
cana-3440	162	22	structured	structure	VERB
cana-3440	162	23	and	and	CCONJ
cana-3440	162	24	how	how	SCONJ
cana-3440	162	25	well	well	ADV
cana-3440	162	26	the	the	DET
cana-3440	162	27	clusters	cluster	NOUN
cana-3440	162	28	are	be	AUX
cana-3440	162	29	separated	separate	VERB
cana-3440	162	30	.	.	PUNCT
cana-3440	163	1	the	the	DET
cana-3440	163	2	calculated	calculate	VERB
cana-3440	163	3	silhouette	silhouette	NOUN
cana-3440	163	4	score	score	NOUN
cana-3440	163	5	quantitatively	quantitatively	ADV
cana-3440	163	6	validates	validate	VERB
cana-3440	163	7	the	the	DET
cana-3440	163	8	clustering	clustering	ADJ
cana-3440	163	9	performance	performance	NOUN
cana-3440	163	10	,	,	PUNCT
cana-3440	163	11	indicating	indicate	VERB
cana-3440	163	12	welldefined	welldefine	VERB
cana-3440	163	13	clusters	cluster	NOUN
cana-3440	163	14	with	with	ADP
cana-3440	163	15	clear	clear	ADJ
cana-3440	163	16	separations	separation	NOUN
cana-3440	163	17	,	,	PUNCT
cana-3440	163	18	thereby	thereby	ADV
cana-3440	163	19	confirming	confirm	VERB
cana-3440	163	20	the	the	DET
cana-3440	163	21	efficacy	efficacy	NOUN
cana-3440	163	22	of	of	ADP
cana-3440	163	23	the	the	DET
cana-3440	163	24	k	k	NOUN
cana-3440	163	25	-	-	PUNCT
cana-3440	163	26	means	means	NOUN
cana-3440	163	27	algorithm	algorithm	NOUN
cana-3440	163	28	in	in	ADP
cana-3440	163	29	this	this	DET
cana-3440	163	30	context	context	NOUN
cana-3440	163	31	.	.	PUNCT
cana-3440	164	1	from	from	ADP
cana-3440	164	2	a	a	DET
cana-3440	164	3	mathematical	mathematical	ADJ
cana-3440	164	4	standpoint	standpoint	NOUN
cana-3440	164	5	,	,	PUNCT
cana-3440	164	6	the	the	DET
cana-3440	164	7	k	k	NOUN
cana-3440	164	8	-	-	PUNCT
cana-3440	164	9	means	mean	NOUN
cana-3440	164	10	algorithm	algorithm	NOUN
cana-3440	164	11	’s	’s	PART
cana-3440	164	12	efficiency	efficiency	NOUN
cana-3440	164	13	and	and	CCONJ
cana-3440	164	14	convergence	convergence	NOUN
cana-3440	164	15	properties	property	NOUN
cana-3440	164	16	make	make	VERB
cana-3440	164	17	it	it	PRON
cana-3440	164	18	a	a	DET
cana-3440	164	19	robust	robust	ADJ
cana-3440	164	20	tool	tool	NOUN
cana-3440	164	21	for	for	ADP
cana-3440	164	22	partitioning	partition	VERB
cana-3440	164	23	datasets	dataset	NOUN
cana-3440	164	24	.	.	PUNCT
cana-3440	165	1	its	its	PRON
cana-3440	165	2	computational	computational	ADJ
cana-3440	165	3	complexity	complexity	NOUN
cana-3440	165	4	o(n.k.t.d.)[the	o(n.k.t.d.)[the	DET
cana-3440	165	5	notation	notation	NOUN
cana-3440	165	6	o(n.k.t.d	o(n.k.t.d	X
cana-3440	165	7	.	.	PUNCT
cana-3440	165	8	)	)	PUNCT
cana-3440	165	9	represents	represent	VERB
cana-3440	165	10	the	the	DET
cana-3440	165	11	time	time	NOUN
cana-3440	165	12	complexity	complexity	NOUN
cana-3440	165	13	of	of	ADP
cana-3440	165	14	the	the	DET
cana-3440	165	15	k	k	NOUN
cana-3440	165	16	-	-	PUNCT
cana-3440	165	17	means	mean	VERB
cana-3440	165	18	clustering	clustering	ADJ
cana-3440	165	19	algorithm	algorithm	NOUN
cana-3440	165	20	.	.	PUNCT
cana-3440	166	1	in	in	ADP
cana-3440	166	2	this	this	DET
cana-3440	166	3	context	context	NOUN
cana-3440	166	4	:	:	PUNCT
cana-3440	166	5	n	n	PRON
cana-3440	166	6	is	be	AUX
cana-3440	166	7	the	the	DET
cana-3440	166	8	number	number	NOUN
cana-3440	166	9	of	of	ADP
cana-3440	166	10	data	datum	NOUN
cana-3440	166	11	points	point	NOUN
cana-3440	166	12	,	,	PUNCT
cana-3440	166	13	k	k	PROPN
cana-3440	166	14	is	be	AUX
cana-3440	166	15	the	the	DET
cana-3440	166	16	number	number	NOUN
cana-3440	166	17	of	of	ADP
cana-3440	166	18	clusters	cluster	NOUN
cana-3440	166	19	,	,	PUNCT
cana-3440	166	20	t	t	PROPN
cana-3440	166	21	is	be	AUX
cana-3440	166	22	the	the	DET
cana-3440	166	23	number	number	NOUN
cana-3440	166	24	of	of	ADP
cana-3440	166	25	iterations	iteration	NOUN
cana-3440	166	26	the	the	DET
cana-3440	166	27	algorithm	algorithm	NOUN
cana-3440	166	28	runs	run	VERB
cana-3440	166	29	,	,	PUNCT
cana-3440	166	30	d	d	X
cana-3440	166	31	is	be	AUX
cana-3440	166	32	the	the	DET
cana-3440	166	33	number	number	NOUN
cana-3440	166	34	of	of	ADP
cana-3440	166	35	dimensions	dimension	NOUN
cana-3440	166	36	(	(	PUNCT
cana-3440	166	37	features	feature	NOUN
cana-3440	166	38	)	)	PUNCT
cana-3440	166	39	in	in	ADP
cana-3440	166	40	the	the	DET
cana-3440	166	41	dataset	dataset	NOUN
cana-3440	166	42	]	]	X
cana-3440	166	43	,	,	PUNCT
cana-3440	166	44	ensures	ensure	VERB
cana-3440	166	45	suitability	suitability	NOUN
cana-3440	166	46	for	for	ADP
cana-3440	166	47	large	large	ADJ
cana-3440	166	48	datasets	dataset	NOUN
cana-3440	166	49	,	,	PUNCT
cana-3440	166	50	while	while	SCONJ
cana-3440	166	51	its	its	PRON
cana-3440	166	52	iterative	iterative	NOUN
cana-3440	166	53	nature	nature	NOUN
cana-3440	166	54	guarantees	guarantee	VERB
cana-3440	166	55	convergence	convergence	NOUN
cana-3440	166	56	to	to	ADP
cana-3440	166	57	a	a	DET
cana-3440	166	58	local	local	ADJ
cana-3440	166	59	minimum	minimum	NOUN
cana-3440	166	60	.	.	PUNCT
cana-3440	167	1	despite	despite	SCONJ
cana-3440	167	2	its	its	PRON
cana-3440	167	3	sensitivity	sensitivity	NOUN
cana-3440	167	4	to	to	ADP
cana-3440	167	5	initial	initial	ADJ
cana-3440	167	6	communications	communication	NOUN
cana-3440	167	7	on	on	ADP
cana-3440	167	8	applied	apply	VERB
cana-3440	167	9	nonlinear	nonlinear	ADJ
cana-3440	167	10	analysis	analysis	NOUN
cana-3440	167	11	issn	issn	NOUN
cana-3440	167	12	:	:	PUNCT
cana-3440	167	13	1074	1074	NUM
cana-3440	167	14	-	-	PUNCT
cana-3440	167	15	133x	133x	NUM
cana-3440	167	16	vol	vol	NOUN
cana-3440	167	17	32	32	NUM
cana-3440	167	18	no	no	NOUN
cana-3440	167	19	.	.	PUNCT
cana-3440	168	1	7s	7	NOUN
cana-3440	168	2	(	(	PUNCT
cana-3440	168	3	2025	2025	NUM
cana-3440	168	4	)	)	PUNCT
cana-3440	168	5	413	413	NUM
cana-3440	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	168	7	centroid	centroid	NOUN
cana-3440	168	8	placement	placement	NOUN
cana-3440	168	9	and	and	CCONJ
cana-3440	168	10	assumptions	assumption	NOUN
cana-3440	168	11	of	of	ADP
cana-3440	168	12	spherical	spherical	ADJ
cana-3440	168	13	clusters	cluster	NOUN
cana-3440	168	14	,	,	PUNCT
cana-3440	168	15	the	the	DET
cana-3440	168	16	algorithm	algorithm	NOUN
cana-3440	168	17	provides	provide	VERB
cana-3440	168	18	a	a	DET
cana-3440	168	19	valuable	valuable	ADJ
cana-3440	168	20	method	method	NOUN
cana-3440	168	21	for	for	ADP
cana-3440	168	22	uncovering	uncover	VERB
cana-3440	168	23	patterns	pattern	NOUN
cana-3440	168	24	and	and	CCONJ
cana-3440	168	25	correlations	correlation	NOUN
cana-3440	168	26	within	within	ADP
cana-3440	168	27	medical	medical	ADJ
cana-3440	168	28	data	datum	NOUN
cana-3440	168	29	.	.	PUNCT
cana-3440	169	1	these	these	DET
cana-3440	169	2	insights	insight	NOUN
cana-3440	169	3	can	can	AUX
cana-3440	169	4	inform	inform	VERB
cana-3440	169	5	personalized	personalized	ADJ
cana-3440	169	6	treatment	treatment	NOUN
cana-3440	169	7	plans	plan	NOUN
cana-3440	169	8	,	,	PUNCT
cana-3440	169	9	improving	improve	VERB
cana-3440	169	10	patient	patient	ADJ
cana-3440	169	11	outcomes	outcome	NOUN
cana-3440	169	12	by	by	ADP
cana-3440	169	13	targeting	target	VERB
cana-3440	169	14	the	the	DET
cana-3440	169	15	specific	specific	ADJ
cana-3440	169	16	needs	need	NOUN
cana-3440	169	17	identified	identify	VERB
cana-3440	169	18	within	within	ADP
cana-3440	169	19	each	each	DET
cana-3440	169	20	cluster	cluster	NOUN
cana-3440	169	21	.	.	PUNCT
cana-3440	170	1	future	future	ADJ
cana-3440	170	2	research	research	NOUN
cana-3440	170	3	could	could	AUX
cana-3440	170	4	focus	focus	VERB
cana-3440	170	5	on	on	ADP
cana-3440	170	6	refining	refine	VERB
cana-3440	170	7	the	the	DET
cana-3440	170	8	algorithm	algorithm	NOUN
cana-3440	170	9	’s	’s	PART
cana-3440	170	10	robustness	robustness	NOUN
cana-3440	170	11	and	and	CCONJ
cana-3440	170	12	exploring	explore	VERB
cana-3440	170	13	its	its	PRON
cana-3440	170	14	application	application	NOUN
cana-3440	170	15	to	to	ADP
cana-3440	170	16	different	different	ADJ
cana-3440	170	17	medical	medical	ADJ
cana-3440	170	18	datasets	dataset	NOUN
cana-3440	170	19	to	to	PART
cana-3440	170	20	enhance	enhance	VERB
cana-3440	170	21	healthcare	healthcare	NOUN
cana-3440	170	22	decision	decision	NOUN
cana-3440	170	23	-	-	PUNCT
cana-3440	170	24	making	making	NOUN
cana-3440	170	25	.	.	PUNCT
cana-3440	171	1	5	5	NUM
cana-3440	171	2	acknowledgement	acknowledgement	NOUN
cana-3440	171	3	:	:	PUNCT
cana-3440	171	4	sowparnika	sowparnika	PROPN
cana-3440	171	5	ayurnikethan	ayurnikethan	PROPN
cana-3440	171	6	,	,	PUNCT
cana-3440	171	7	sreeramakrishna	sreeramakrishna	NOUN
cana-3440	171	8	lane	lane	NOUN
cana-3440	171	9	,	,	PUNCT
cana-3440	171	10	poonkunnam	poonkunnam	PROPN
cana-3440	171	11	,	,	PUNCT
cana-3440	171	12	thrissur	thrissur	NOUN
cana-3440	171	13	.	.	PUNCT
cana-3440	172	1	conflicts	conflict	NOUN
cana-3440	172	2	of	of	ADP
cana-3440	172	3	interest	interest	NOUN
cana-3440	172	4	the	the	DET
cana-3440	172	5	authors	author	NOUN
cana-3440	172	6	declare	declare	VERB
cana-3440	172	7	that	that	SCONJ
cana-3440	172	8	they	they	PRON
cana-3440	172	9	have	have	VERB
cana-3440	172	10	no	no	DET
cana-3440	172	11	conflicts	conflict	NOUN
cana-3440	172	12	of	of	ADP
cana-3440	172	13	interest	interest	NOUN
cana-3440	172	14	.	.	PUNCT
cana-3440	173	1	references	reference	NOUN
cana-3440	173	2	[	[	X
cana-3440	173	3	1	1	NUM
cana-3440	173	4	]	]	X
cana-3440	173	5	sarah	sarah	PROPN
cana-3440	173	6	ben	ben	PROPN
cana-3440	173	7	amor	amor	PROPN
cana-3440	173	8	,	,	PUNCT
cana-3440	173	9	fateh	fateh	PROPN
cana-3440	173	10	belaid	belaid	PROPN
cana-3440	173	11	,	,	PUNCT
cana-3440	173	12	ramzi	ramzi	PROPN
cana-3440	173	13	benkraiem	benkraiem	PROPN
cana-3440	173	14	,	,	PUNCT
cana-3440	173	15	boumediene	boumediene	PROPN
cana-3440	173	16	ramdani	ramdani	PROPN
cana-3440	173	17	&	&	CCONJ
cana-3440	173	18	khaled	khaled	PROPN
cana-3440	173	19	guesmi	guesmi	PROPN
cana-3440	173	20	.	.	PUNCT
cana-3440	174	1	”multicriteria	”multicriteria	PROPN
cana-3440	175	1	classification	classification	NOUN
cana-3440	175	2	,	,	PUNCT
cana-3440	175	3	sorting	sorting	NOUN
cana-3440	175	4	,	,	PUNCT
cana-3440	175	5	and	and	CCONJ
cana-3440	175	6	clustering	cluster	VERB
cana-3440	175	7	:	:	PUNCT
cana-3440	175	8	a	a	DET
cana-3440	175	9	bibliometric	bibliometric	ADJ
cana-3440	175	10	review	review	NOUN
cana-3440	175	11	and	and	CCONJ
cana-3440	175	12	research	research	NOUN
cana-3440	175	13	agenda	agenda	NOUN
cana-3440	175	14	.	.	PUNCT
cana-3440	175	15	”annals	”annal	NOUN
cana-3440	175	16	of	of	ADP
cana-3440	175	17	operations	operation	NOUN
cana-3440	175	18	research	research	NOUN
cana-3440	175	19	,	,	PUNCT
cana-3440	175	20	vol	vol	NOUN
cana-3440	175	21	.	.	PROPN
cana-3440	175	22	325	325	NUM
cana-3440	175	23	,	,	PUNCT
cana-3440	175	24	pages	page	NOUN
cana-3440	175	25	771	771	NUM
cana-3440	175	26	-	-	SYM
cana-3440	175	27	793	793	NUM
cana-3440	175	28	,	,	PUNCT
cana-3440	175	29	(	(	PUNCT
cana-3440	175	30	2023	2023	NUM
cana-3440	175	31	)	)	PUNCT
cana-3440	176	1	[	[	X
cana-3440	176	2	2	2	X
cana-3440	176	3	]	]	PUNCT
cana-3440	176	4	mohiuddin	mohiuddin	NOUN
cana-3440	176	5	ahmed	ahme	VERB
cana-3440	176	6	,	,	PUNCT
cana-3440	176	7	raihan	raihan	NOUN
cana-3440	176	8	seraj	seraj	ADJ
cana-3440	176	9	and	and	CCONJ
cana-3440	176	10	syed	syed	ADJ
cana-3440	176	11	mohammed	mohammed	PROPN
cana-3440	176	12	shamsul	shamsul	PROPN
cana-3440	176	13	islam	islam	PROPN
cana-3440	176	14	.	.	PUNCT
cana-3440	177	1	”the	”the	DET
cana-3440	177	2	k	k	ADJ
cana-3440	177	3	-	-	PUNCT
cana-3440	177	4	means	means	NOUN
cana-3440	177	5	algorithm	algorithm	NOUN
cana-3440	177	6	:	:	PUNCT
cana-3440	177	7	a	a	DET
cana-3440	177	8	comprehensive	comprehensive	ADJ
cana-3440	177	9	survey	survey	NOUN
cana-3440	177	10	and	and	CCONJ
cana-3440	177	11	performance	performance	NOUN
cana-3440	177	12	evaluation	evaluation	NOUN
cana-3440	177	13	.	.	PUNCT
cana-3440	178	1	”electronics,2020	”electronics,2020	PROPN
cana-3440	178	2	,	,	PUNCT
cana-3440	178	3	9	9	NUM
cana-3440	178	4	,	,	PUNCT
cana-3440	178	5	1295	1295	NUM
cana-3440	178	6	[	[	X
cana-3440	178	7	3	3	X
cana-3440	178	8	]	]	PUNCT
cana-3440	178	9	jan	jan	PROPN
cana-3440	178	10	pablo	pablo	PROPN
cana-3440	178	11	burgard	burgard	PROPN
cana-3440	178	12	,	,	PUNCT
cana-3440	178	13	carina	carina	PROPN
cana-3440	178	14	moreira	moreira	PROPN
cana-3440	178	15	costa	costa	PROPN
cana-3440	178	16	,	,	PUNCT
cana-3440	178	17	martin	martin	PROPN
cana-3440	178	18	schmidt	schmidt	PROPN
cana-3440	178	19	.	.	PUNCT
cana-3440	179	1	”robustification	”robustification	NOUN
cana-3440	179	2	of	of	ADP
cana-3440	179	3	the	the	DET
cana-3440	179	4	k	k	NOUN
cana-3440	179	5	-	-	PUNCT
cana-3440	179	6	means	mean	VERB
cana-3440	179	7	clustering	clustering	NOUN
cana-3440	179	8	problem	problem	NOUN
cana-3440	179	9	and	and	CCONJ
cana-3440	179	10	tailored	tailor	VERB
cana-3440	179	11	decomposition	decomposition	NOUN
cana-3440	179	12	methods	method	NOUN
cana-3440	179	13	:	:	PUNCT
cana-3440	179	14	when	when	SCONJ
cana-3440	179	15	more	more	ADJ
cana-3440	179	16	conservative	conservative	ADJ
cana-3440	179	17	means	mean	VERB
cana-3440	179	18	more	more	ADV
cana-3440	179	19	accurate	accurate	ADJ
cana-3440	179	20	.	.	PUNCT
cana-3440	179	21	”annals	”annal	NOUN
cana-3440	179	22	of	of	ADP
cana-3440	179	23	operations	operation	NOUN
cana-3440	179	24	research	research	NOUN
cana-3440	179	25	,	,	PUNCT
cana-3440	179	26	vol.339	vol.339	NOUN
cana-3440	179	27	,	,	PUNCT
cana-3440	179	28	pages	page	NOUN
cana-3440	179	29	1525	1525	NUM
cana-3440	179	30	-	-	SYM
cana-3440	179	31	1568	1568	NUM
cana-3440	179	32	,	,	PUNCT
cana-3440	179	33	(	(	PUNCT
cana-3440	179	34	2024	2024	NUM
cana-3440	179	35	)	)	PUNCT
cana-3440	180	1	[	[	X
cana-3440	180	2	4	4	X
cana-3440	180	3	]	]	X
cana-3440	180	4	marina	marina	NOUN
cana-3440	180	5	gul	gul	PROPN
cana-3440	180	6	and	and	CCONJ
cana-3440	180	7	m.	m.	PROPN
cana-3440	180	8	abdul	abdul	PROPN
cana-3440	180	9	rehman	rehman	PROPN
cana-3440	180	10	.	.	PUNCT
cana-3440	181	1	”	"	PUNCT
cana-3440	181	2	big	big	ADJ
cana-3440	181	3	data	datum	NOUN
cana-3440	181	4	:	:	PUNCT
cana-3440	181	5	an	an	DET
cana-3440	181	6	optimized	optimize	VERB
cana-3440	181	7	approach	approach	NOUN
cana-3440	181	8	for	for	ADP
cana-3440	181	9	cluster	cluster	NOUN
cana-3440	181	10	initialization	initialization	NOUN
cana-3440	181	11	”	"	PUNCT
cana-3440	181	12	journal	journal	NOUN
cana-3440	181	13	of	of	ADP
cana-3440	181	14	big	big	ADJ
cana-3440	181	15	data	datum	NOUN
cana-3440	181	16	,	,	PUNCT
cana-3440	181	17	10	10	NUM
cana-3440	181	18	,	,	PUNCT
cana-3440	181	19	article	article	NOUN
cana-3440	181	20	number	number	NOUN
cana-3440	181	21	:	:	PUNCT
cana-3440	181	22	120(2023	120(2023	NUM
cana-3440	181	23	)	)	PUNCT
cana-3440	182	1	[	[	X
cana-3440	182	2	5	5	NUM
cana-3440	182	3	]	]	PUNCT
cana-3440	182	4	yiqun	yiqun	NOUN
cana-3440	182	5	t.	t.	PROPN
cana-3440	182	6	chen	chen	PROPN
cana-3440	182	7	,	,	PUNCT
cana-3440	182	8	daniela	daniela	PROPN
cana-3440	182	9	m.witten	m.witten	PROPN
cana-3440	182	10	.	.	PUNCT
cana-3440	182	11	”selective	”selective	PROPN
cana-3440	182	12	inference	inference	PROPN
cana-3440	182	13	for	for	ADP
cana-3440	182	14	k	k	NOUN
cana-3440	182	15	-	-	PUNCT
cana-3440	182	16	means	mean	VERB
cana-3440	182	17	clustering	cluster	VERB
cana-3440	182	18	.”journal	.”journal	NOUN
cana-3440	182	19	of	of	ADP
cana-3440	182	20	machine	machine	NOUN
cana-3440	182	21	learning	learn	VERB
cana-3440	182	22	research	research	NOUN
cana-3440	182	23	,	,	PUNCT
cana-3440	182	24	vol.24	vol.24	NOUN
cana-3440	182	25	,	,	PUNCT
cana-3440	182	26	(	(	PUNCT
cana-3440	182	27	2023	2023	NUM
cana-3440	182	28	)	)	PUNCT
cana-3440	182	29	,	,	PUNCT
cana-3440	182	30	1	1	NUM
cana-3440	182	31	-	-	SYM
cana-3440	182	32	20	20	NUM
cana-3440	182	33	.	.	PUNCT
cana-3440	183	1	[	[	X
cana-3440	183	2	6	6	NUM
cana-3440	183	3	]	]	X
cana-3440	183	4	md	md	PROPN
cana-3440	183	5	.	.	PROPN
cana-3440	183	6	zubair	zubair	PROPN
cana-3440	183	7	,	,	PUNCT
cana-3440	183	8	md	md	PROPN
cana-3440	183	9	.	.	PROPN
cana-3440	184	1	asif	asif	PROPN
cana-3440	184	2	iqbal	iqbal	PROPN
cana-3440	184	3	,	,	PUNCT
cana-3440	184	4	avijeet	avijeet	NOUN
cana-3440	184	5	shil	shil	NOUN
cana-3440	184	6	,	,	PUNCT
cana-3440	184	7	m.	m.	NOUN
cana-3440	184	8	j.	j.	PROPN
cana-3440	184	9	m.	m.	PROPN
cana-3440	184	10	chowdhury	chowdhury	PROPN
cana-3440	184	11	,	,	PUNCT
cana-3440	184	12	mohammad	mohammad	PROPN
cana-3440	184	13	ali	ali	PROPN
cana-3440	184	14	moni	moni	PROPN
cana-3440	184	15	,	,	PUNCT
cana-3440	184	16	iqbal	iqbal	PROPN
cana-3440	184	17	h.	h.	PROPN
cana-3440	184	18	sarker	sarker	PROPN
cana-3440	184	19	.	.	PUNCT
cana-3440	185	1	”an	”an	PROPN
cana-3440	185	2	improved	improve	VERB
cana-3440	185	3	k	k	NOUN
cana-3440	185	4	-	-	PUNCT
cana-3440	185	5	means	mean	VERB
cana-3440	185	6	clustering	cluster	VERB
cana-3440	185	7	algorithm	algorithm	NOUN
cana-3440	185	8	towards	towards	ADP
cana-3440	185	9	an	an	DET
cana-3440	185	10	efficient	efficient	ADJ
cana-3440	185	11	data	data	NOUN
cana-3440	185	12	-	-	PUNCT
cana-3440	185	13	driven	drive	VERB
cana-3440	185	14	modeling”annals	modeling”annals	PROPN
cana-3440	185	15	of	of	ADP
cana-3440	185	16	data	datum	NOUN
cana-3440	185	17	science	science	NOUN
cana-3440	185	18	,	,	PUNCT
cana-3440	185	19	vol.11	vol.11	PROPN
cana-3440	185	20	,	,	PUNCT
cana-3440	185	21	pages	page	NOUN
cana-3440	185	22	1525	1525	NUM
cana-3440	185	23	-	-	SYM
cana-3440	185	24	1544	1544	NUM
cana-3440	185	25	,	,	PUNCT
cana-3440	185	26	(	(	PUNCT
cana-3440	185	27	2024	2024	NUM
cana-3440	185	28	)	)	PUNCT
cana-3440	186	1	[	[	X
cana-3440	186	2	7	7	NUM
cana-3440	186	3	]	]	X
cana-3440	186	4	abiodun	abiodun	PROPN
cana-3440	186	5	m.	m.	PROPN
cana-3440	186	6	ikotun	ikotun	PROPN
cana-3440	186	7	,	,	PUNCT
cana-3440	186	8	absalom	absalom	PROPN
cana-3440	186	9	e.	e.	PROPN
cana-3440	186	10	ezugwu	ezugwu	PROPN
cana-3440	186	11	,	,	PUNCT
cana-3440	186	12	laith	laith	PROPN
cana-3440	186	13	abualigah	abualigah	PROPN
cana-3440	186	14	,	,	PUNCT
cana-3440	186	15	belal	belal	PROPN
cana-3440	186	16	abuhaija	abuhaija	PROPN
cana-3440	186	17	,	,	PUNCT
cana-3440	186	18	jia	jia	PROPN
cana-3440	186	19	heming	heming	PROPN
cana-3440	186	20	.	.	PUNCT
cana-3440	186	21	”k	”k	NOUN
cana-3440	186	22	-	-	PUNCT
cana-3440	186	23	means	mean	VERB
cana-3440	186	24	clustering	clustering	ADJ
cana-3440	186	25	algorithms	algorithm	NOUN
cana-3440	186	26	:	:	PUNCT
cana-3440	186	27	a	a	DET
cana-3440	186	28	comprehensive	comprehensive	ADJ
cana-3440	186	29	review	review	NOUN
cana-3440	186	30	,	,	PUNCT
cana-3440	186	31	variants	variant	NOUN
cana-3440	186	32	analysis	analysis	NOUN
cana-3440	186	33	,	,	PUNCT
cana-3440	186	34	and	and	CCONJ
cana-3440	186	35	advances	advance	NOUN
cana-3440	186	36	in	in	ADP
cana-3440	186	37	the	the	DET
cana-3440	186	38	era	era	NOUN
cana-3440	186	39	of	of	ADP
cana-3440	186	40	big	big	ADJ
cana-3440	186	41	data	datum	NOUN
cana-3440	186	42	.	.	PUNCT
cana-3440	187	1	”information	”information	NOUN
cana-3440	187	2	sciences	sciences	PROPN
cana-3440	187	3	,	,	PUNCT
cana-3440	187	4	vol.622	vol.622	PROPN
cana-3440	187	5	,	,	PUNCT
cana-3440	187	6	april	april	PROPN
cana-3440	187	7	2023	2023	NUM
cana-3440	187	8	,	,	PUNCT
cana-3440	187	9	pages	page	NOUN
cana-3440	187	10	178	178	NUM
cana-3440	187	11	-	-	SYM
cana-3440	187	12	210	210	NUM
cana-3440	187	13	.	.	PUNCT
cana-3440	188	1	[	[	X
cana-3440	188	2	8	8	X
cana-3440	188	3	]	]	X
cana-3440	188	4	kristina	kristina	PROPN
cana-3440	188	5	p.	p.	PROPN
cana-3440	188	6	sinaga	sinaga	NOUN
cana-3440	188	7	and	and	CCONJ
cana-3440	188	8	miin	miin	PROPN
cana-3440	188	9	-	-	PUNCT
cana-3440	188	10	shen	shen	PROPN
cana-3440	188	11	yang	yang	PROPN
cana-3440	188	12	.	.	PROPN
cana-3440	188	13	”unsupervised	”unsupervise	VERB
cana-3440	188	14	k	k	NOUN
cana-3440	188	15	-	-	PUNCT
cana-3440	188	16	means	means	NOUN
cana-3440	188	17	clustering	cluster	VERB
cana-3440	188	18	algorithm”ieee	algorithm”ieee	NOUN
cana-3440	188	19	access	access	NOUN
cana-3440	188	20	,	,	PUNCT
cana-3440	188	21	vol.8	vol.8	PROPN
cana-3440	188	22	,	,	PUNCT
cana-3440	188	23	2020	2020	NUM
cana-3440	188	24	.	.	PUNCT
cana-3440	189	1	[	[	X
cana-3440	189	2	9	9	NUM
cana-3440	189	3	]	]	X
cana-3440	189	4	joonas	joonas	PROPN
cana-3440	189	5	hlen	hlen	PROPN
cana-3440	189	6	,	,	PUNCT
cana-3440	189	7	tommi	tommi	PROPN
cana-3440	189	8	kken	kken	PROPN
cana-3440	189	9	and	and	CCONJ
cana-3440	189	10	tuomo	tuomo	PROPN
cana-3440	189	11	rossi	rossi	ADJ
cana-3440	189	12	.	.	PUNCT
cana-3440	190	1	”improving	”improve	VERB
cana-3440	190	2	scalable	scalable	ADJ
cana-3440	190	3	kmeans++”algorithms	kmeans++”algorithm	NOUN
cana-3440	190	4	,	,	PUNCT
cana-3440	190	5	vol.14	vol.14	NOUN
cana-3440	190	6	,	,	PUNCT
cana-3440	190	7	issue	issue	NOUN
cana-3440	190	8	1	1	NUM
cana-3440	190	9	.	.	PUNCT
cana-3440	191	1	[	[	X
cana-3440	191	2	10	10	NUM
cana-3440	191	3	]	]	X
cana-3440	191	4	renato	renato	PROPN
cana-3440	191	5	cordeiro	cordeiro	PROPN
cana-3440	191	6	de	de	PROPN
cana-3440	191	7	amorim	amorim	PROPN
cana-3440	191	8	,	,	PUNCT
cana-3440	191	9	vladimir	vladimir	PROPN
cana-3440	191	10	makarenkov	makarenkov	PROPN
cana-3440	191	11	.	.	PUNCT
cana-3440	191	12	”on	”on	PUNCT
cana-3440	192	1	k	k	ADJ
cana-3440	192	2	-	-	PUNCT
cana-3440	192	3	means	mean	VERB
cana-3440	192	4	iterations	iteration	NOUN
cana-3440	192	5	and	and	CCONJ
cana-3440	192	6	gaussian	gaussian	ADJ
cana-3440	192	7	clusters	cluster	NOUN
cana-3440	192	8	”	"	PUNCT
cana-3440	192	9	neurocomputing	neurocomputing	NOUN
cana-3440	192	10	,	,	PUNCT
cana-3440	192	11	vol.533	vol.533	NOUN
cana-3440	192	12	,	,	PUNCT
cana-3440	192	13	7	7	NUM
cana-3440	192	14	october	october	NOUN
cana-3440	192	15	2023	2023	NUM
cana-3440	192	16	,	,	PUNCT
cana-3440	192	17	126547	126547	NUM
cana-3440	192	18	.	.	PUNCT
cana-3440	193	1	[	[	X
cana-3440	193	2	11	11	NUM
cana-3440	193	3	]	]	PUNCT
cana-3440	193	4	ahmed	ahme	VERB
cana-3440	193	5	fahim	fahim	PROPN
cana-3440	193	6	.	.	PUNCT
cana-3440	194	1	”k	”k	PROPN
cana-3440	194	2	and	and	CCONJ
cana-3440	194	3	starting	start	VERB
cana-3440	194	4	means	mean	NOUN
cana-3440	194	5	for	for	ADP
cana-3440	194	6	k	k	NOUN
cana-3440	194	7	-	-	PUNCT
cana-3440	194	8	means	means	NOUN
cana-3440	194	9	algorithm	algorithm	NOUN
cana-3440	194	10	”	"	PUNCT
cana-3440	194	11	journal	journal	NOUN
cana-3440	194	12	of	of	ADP
cana-3440	194	13	computational	computational	ADJ
cana-3440	194	14	science	science	NOUN
cana-3440	194	15	,	,	PUNCT
cana-3440	194	16	vol.55	vol.55	NOUN
cana-3440	194	17	,	,	PUNCT
cana-3440	194	18	october	october	PROPN
cana-3440	194	19	2021	2021	NUM
cana-3440	194	20	,	,	PUNCT
cana-3440	194	21	101445	101445	NUM
cana-3440	194	22	.	.	PUNCT
cana-3440	195	1	[	[	X
cana-3440	195	2	12	12	NUM
cana-3440	195	3	]	]	X
cana-3440	195	4	rani	rani	PROPN
cana-3440	195	5	rotul	rotul	PROPN
cana-3440	195	6	muhima	muhima	PROPN
cana-3440	195	7	,	,	PUNCT
cana-3440	195	8	muchamad	muchamad	PROPN
cana-3440	195	9	kurniawan	kurniawan	PROPN
cana-3440	195	10	,	,	PUNCT
cana-3440	195	11	septiyawan	septiyawan	PROPN
cana-3440	195	12	rosetya	rosetya	PROPN
cana-3440	195	13	wardhana	wardhana	PROPN
cana-3440	195	14	,	,	PUNCT
cana-3440	195	15	anton	anton	PROPN
cana-3440	195	16	yudhana	yudhana	PROPN
cana-3440	195	17	,	,	PUNCT
cana-3440	195	18	sunardi	sunardi	PROPN
cana-3440	195	19	,	,	PUNCT
cana-3440	195	20	mitra	mitra	PROPN
cana-3440	195	21	adhimukti	adhimukti	PROPN
cana-3440	195	22	”	"	PUNCT
cana-3440	195	23	an	an	DET
cana-3440	195	24	improved	improved	ADJ
cana-3440	195	25	clustering	clustering	NOUN
cana-3440	195	26	based	base	VERB
cana-3440	195	27	on	on	ADP
cana-3440	195	28	k	k	PROPN
cana-3440	195	29	-	-	PUNCT
cana-3440	195	30	means	means	NOUN
cana-3440	195	31	for	for	ADP
cana-3440	195	32	hotspots	hotspot	NOUN
cana-3440	195	33	data	data	PROPN
cana-3440	195	34	”	"	PUNCT
cana-3440	195	35	indonesian	indonesian	ADJ
cana-3440	195	36	journal	journal	NOUN
cana-3440	195	37	of	of	ADP
cana-3440	195	38	electrical	electrical	ADJ
cana-3440	195	39	engineering	engineering	NOUN
cana-3440	195	40	and	and	CCONJ
cana-3440	195	41	computer	computer	NOUN
cana-3440	195	42	science	science	NOUN
cana-3440	195	43	,	,	PUNCT
cana-3440	195	44	vol.31	vol.31	PROPN
cana-3440	195	45	,	,	PUNCT
cana-3440	195	46	no.2	no.2	PROPN
cana-3440	195	47	,	,	PUNCT
cana-3440	195	48	august	august	PROPN
cana-3440	195	49	2023	2023	NUM
cana-3440	195	50	,	,	PUNCT
cana-3440	195	51	pp	pp	ADJ
cana-3440	195	52	.	.	PUNCT
cana-3440	195	53	1109	1109	NUM
cana-3440	195	54	-	-	SYM
cana-3440	195	55	1117	1117	NUM
cana-3440	195	56	.	.	PUNCT
cana-3440	196	1	[	[	X
cana-3440	196	2	13	13	NUM
cana-3440	196	3	]	]	X
cana-3440	196	4	liang	liang	PROPN
cana-3440	196	5	p.	p.	PROPN
cana-3440	196	6	,	,	PUNCT
cana-3440	196	7	bayatti	bayatti	PROPN
cana-3440	196	8	h.	h.	PROPN
cana-3440	196	9	a.	a.	PROPN
cana-3440	196	10	”	"	PUNCT
cana-3440	196	11	automatic	automatic	ADJ
cana-3440	196	12	knowledge	knowledge	NOUN
cana-3440	196	13	integration	integration	NOUN
cana-3440	196	14	method	method	NOUN
cana-3440	196	15	of	of	ADP
cana-3440	196	16	english	english	ADJ
cana-3440	196	17	translation	translation	NOUN
cana-3440	196	18	corpus	corpus	NOUN
cana-3440	196	19	based	base	VERB
cana-3440	196	20	on	on	ADP
cana-3440	196	21	kmeans	kmeans	PROPN
cana-3440	196	22	algorithm	algorithm	PROPN
cana-3440	196	23	”	"	PUNCT
cana-3440	196	24	applied	apply	VERB
cana-3440	196	25	mathematics	mathematic	NOUN
cana-3440	196	26	and	and	CCONJ
cana-3440	196	27	nonlinear	nonlinear	ADJ
cana-3440	196	28	sciences	science	NOUN
cana-3440	196	29	,	,	PUNCT
cana-3440	196	30	8(1)(2023	8(1)(2023	NUM
cana-3440	196	31	)	)	PUNCT
cana-3440	196	32	,	,	PUNCT
cana-3440	196	33	381	381	NUM
cana-3440	196	34	-	-	SYM
cana-3440	196	35	388	388	NUM
cana-3440	196	36	.	.	PUNCT
cana-3440	197	1	[	[	X
cana-3440	197	2	14	14	NUM
cana-3440	197	3	]	]	X
cana-3440	197	4	abdulnassar	abdulnassar	VERB
cana-3440	197	5	a.	a.	PROPN
cana-3440	197	6	a.	a.	PROPN
cana-3440	197	7	,	,	PUNCT
cana-3440	197	8	nair	nair	PROPN
cana-3440	197	9	l.r	l.r	PROPN
cana-3440	197	10	.	.	PUNCT
cana-3440	197	11	”	"	PUNCT
cana-3440	197	12	performance	performance	NOUN
cana-3440	197	13	analysis	analysis	NOUN
cana-3440	197	14	of	of	ADP
cana-3440	197	15	kmeans	kmean	NOUN
cana-3440	197	16	with	with	ADP
cana-3440	197	17	modified	modify	VERB
cana-3440	197	18	initial	initial	ADJ
cana-3440	197	19	centroid	centroid	NOUN
cana-3440	197	20	selection	selection	NOUN
cana-3440	197	21	algorithms	algorithm	NOUN
cana-3440	197	22	and	and	CCONJ
cana-3440	197	23	developed	develop	VERB
cana-3440	197	24	kmeans9+model	kmeans9+model	NOUN
cana-3440	197	25	.	.	PUNCT
cana-3440	197	26	”	"	PUNCT
cana-3440	197	27	measurement	measurement	NOUN
cana-3440	197	28	:	:	PUNCT
cana-3440	197	29	sensors(2023	sensors(2023	NOUN
cana-3440	197	30	,	,	PUNCT
cana-3440	197	31	volume	volume	NOUN
cana-3440	197	32	25	25	NUM
cana-3440	197	33	,	,	PUNCT
cana-3440	197	34	february	february	PROPN
cana-3440	197	35	2023	2023	NUM
cana-3440	197	36	,	,	PUNCT
cana-3440	197	37	communications	communication	NOUN
cana-3440	197	38	on	on	ADP
cana-3440	197	39	applied	apply	VERB
cana-3440	197	40	nonlinear	nonlinear	ADJ
cana-3440	197	41	analysis	analysis	NOUN
cana-3440	197	42	issn	issn	NOUN
cana-3440	197	43	:	:	PUNCT
cana-3440	197	44	1074	1074	NUM
cana-3440	197	45	-	-	PUNCT
cana-3440	197	46	133x	133x	NUM
cana-3440	197	47	vol	vol	NOUN
cana-3440	197	48	32	32	NUM
cana-3440	197	49	no	no	NOUN
cana-3440	197	50	.	.	PUNCT
cana-3440	198	1	7s	7	NOUN
cana-3440	198	2	(	(	PUNCT
cana-3440	198	3	2025	2025	NUM
cana-3440	198	4	)	)	PUNCT
cana-3440	198	5	414	414	NUM
cana-3440	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3440	198	7	100666	100666	NUM
cana-3440	198	8	.	.	PUNCT
cana-3440	199	1	[	[	X
cana-3440	199	2	15	15	NUM
cana-3440	199	3	]	]	X
cana-3440	199	4	guo	guo	PROPN
cana-3440	199	5	c.f	c.f	PROPN
cana-3440	199	6	.	.	PROPN
cana-3440	199	7	,	,	PUNCT
cana-3440	199	8	wang	wang	PROPN
cana-3440	199	9	x.m	x.m	PROPN
cana-3440	199	10	.	.	PROPN
cana-3440	199	11	shi	shi	PROPN
cana-3440	199	12	chenyu	chenyu	PROPN
cana-3440	199	13	,	,	PUNCT
cana-3440	199	14	jin	jin	PROPN
cana-3440	199	15	hong	hong	PROPN
cana-3440	199	16	.	.	PUNCT
cana-3440	200	1	”	"	PUNCT
cana-3440	200	2	corn	corn	NOUN
cana-3440	200	3	leaf	leaf	NOUN
cana-3440	200	4	image	image	NOUN
cana-3440	200	5	segmentation	segmentation	NOUN
cana-3440	200	6	based	base	VERB
cana-3440	200	7	on	on	ADP
cana-3440	200	8	improved	improved	ADJ
cana-3440	200	9	kmeans	kmean	NOUN
cana-3440	200	10	algorithm	algorithm	NOUN
cana-3440	200	11	.	.	PUNCT
cana-3440	200	12	”	"	PUNCT
cana-3440	201	1	journal	journal	NOUN
cana-3440	201	2	of	of	ADP
cana-3440	201	3	north	north	PROPN
cana-3440	201	4	university	university	PROPN
cana-3440	201	5	of	of	ADP
cana-3440	201	6	china	china	PROPN
cana-3440	201	7	(	(	PUNCT
cana-3440	201	8	natural	natural	ADJ
cana-3440	201	9	science	science	NOUN
cana-3440	201	10	edition),volume(issue):2021,42(6	edition),volume(issue):2021,42(6	NOUN
cana-3440	201	11	)	)	PUNCT
cana-3440	201	12	.	.	PUNCT
cana-3440	202	1	[	[	X
cana-3440	202	2	16	16	NUM
cana-3440	202	3	]	]	PUNCT
cana-3440	202	4	shyr	shyr	PROPN
cana-3440	202	5	-	-	PUNCT
cana-3440	202	6	shen	shen	PROPN
cana-3440	202	7	yu	yu	PROPN
cana-3440	202	8	,	,	PUNCT
cana-3440	202	9	shao	shao	PROPN
cana-3440	202	10	-	-	PUNCT
cana-3440	202	11	wei	wei	PROPN
cana-3440	202	12	chu	chu	PROPN
cana-3440	202	13	,	,	PUNCT
cana-3440	202	14	chuin	chuin	NOUN
cana-3440	202	15	-	-	PUNCT
cana-3440	202	16	mu	mu	NOUN
cana-3440	202	17	wang	wang	PROPN
cana-3440	202	18	,	,	PUNCT
cana-3440	202	19	yung	yung	PROPN
cana-3440	202	20	-	-	PROPN
cana-3440	202	21	kuan	kuan	PROPN
cana-3440	202	22	chan	chan	PROPN
cana-3440	202	23	,	,	PUNCT
cana-3440	202	24	ting	ting	PROPN
cana-3440	202	25	-	-	PUNCT
cana-3440	202	26	cheng	cheng	PROPN
cana-3440	202	27	chang	chang	PROPN
cana-3440	202	28	.	.	PUNCT
cana-3440	202	29	”two	”two	NUM
cana-3440	202	30	improved	improved	ADJ
cana-3440	202	31	k	k	NOUN
cana-3440	202	32	-	-	PUNCT
cana-3440	202	33	means	means	NOUN
cana-3440	202	34	algorithms	algorithm	NOUN
cana-3440	202	35	”	"	PUNCT
cana-3440	202	36	,	,	PUNCT
cana-3440	202	37	applied	apply	VERB
cana-3440	202	38	soft	soft	ADJ
cana-3440	202	39	computing	computing	NOUN
cana-3440	202	40	,	,	PUNCT
cana-3440	202	41	volume	volume	NOUN
cana-3440	202	42	68	68	NUM
cana-3440	202	43	,	,	PUNCT
cana-3440	202	44	july	july	PROPN
cana-3440	202	45	2018	2018	NUM
cana-3440	202	46	,	,	PUNCT
cana-3440	202	47	pages	page	NOUN
cana-3440	202	48	747	747	NUM
cana-3440	202	49	-	-	SYM
cana-3440	202	50	755	755	NUM
cana-3440	202	51	.	.	PUNCT
cana-3440	203	1	[	[	X
cana-3440	203	2	17	17	NUM
cana-3440	203	3	]	]	X
cana-3440	203	4	sri	sri	PROPN
cana-3440	203	5	ngudi	ngudi	PROPN
cana-3440	203	6	wahyuni	wahyuni	PROPN
cana-3440	203	7	,	,	PUNCT
cana-3440	203	8	nazmun	nazmun	PROPN
cana-3440	203	9	nahar	nahar	PROPN
cana-3440	203	10	khanom	khanom	PROPN
cana-3440	203	11	,	,	PUNCT
cana-3440	203	12	yuli	yuli	PROPN
cana-3440	203	13	astuti	astuti	PROPN
cana-3440	203	14	.	.	PUNCT
cana-3440	203	15	”	"	PUNCT
cana-3440	204	1	k	k	X
cana-3440	204	2	-	-	PUNCT
cana-3440	204	3	means	mean	VERB
cana-3440	204	4	algorithm	algorithm	NOUN
cana-3440	204	5	analysis	analysis	NOUN
cana-3440	204	6	for	for	ADP
cana-3440	204	7	election	election	NOUN
cana-3440	204	8	cluster	cluster	NOUN
cana-3440	204	9	prediction	prediction	NOUN
cana-3440	204	10	”	"	PUNCT
cana-3440	204	11	,	,	PUNCT
cana-3440	204	12	international	international	ADJ
cana-3440	204	13	journal	journal	NOUN
cana-3440	204	14	on	on	ADP
cana-3440	204	15	informatics	informatic	NOUN
cana-3440	204	16	visualization	visualization	NOUN
cana-3440	204	17	,	,	PUNCT
cana-3440	204	18	visualization	visualization	NOUN
cana-3440	204	19	,	,	PUNCT
cana-3440	204	20	7(1	7(1	NUM
cana-3440	204	21	)	)	PUNCT
cana-3440	204	22	march	march	NOUN
cana-3440	204	23	2023	2023	NUM
cana-3440	204	24	,	,	PUNCT
cana-3440	204	25	1	1	NUM
cana-3440	204	26	-	-	SYM
cana-3440	204	27	6	6	NUM