id	sid	tid	token	lemma	pos
easat-2753	1	1	edelweiss	edelweiss	PROPN
easat-2753	1	2	applied	apply	VERB
easat-2753	1	3	science	science	NOUN
easat-2753	1	4	and	and	CCONJ
easat-2753	1	5	technology	technology	NOUN
easat-2753	1	6	issn	issn	PROPN
easat-2753	1	7	:	:	PUNCT
easat-2753	1	8	2576	2576	NUM
easat-2753	1	9	-	-	SYM
easat-2753	1	10	8484	8484	NUM
easat-2753	1	11	vol	vol	NOUN
easat-2753	1	12	.	.	PROPN
easat-2753	1	13	8	8	NUM
easat-2753	1	14	,	,	PUNCT
easat-2753	1	15	no	no	INTJ
easat-2753	1	16	.	.	NOUN
easat-2753	1	17	6	6	NUM
easat-2753	1	18	,	,	PUNCT
easat-2753	1	19	3542	3542	NUM
easat-2753	1	20	-	-	SYM
easat-2753	1	21	3555	3555	NUM
easat-2753	1	22	2024	2024	NUM
easat-2753	1	23	publisher	publisher	NOUN
easat-2753	1	24	:	:	PUNCT
easat-2753	1	25	learning	learn	VERB
easat-2753	1	26	gate	gate	NOUN
easat-2753	1	27	doi	doi	PROPN
easat-2753	1	28	:	:	PUNCT
easat-2753	1	29	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	1	30	©	©	PROPN
easat-2753	1	31	2024	2024	NUM
easat-2753	1	32	by	by	ADP
easat-2753	1	33	the	the	DET
easat-2753	1	34	authors	author	NOUN
easat-2753	1	35	;	;	PUNCT
easat-2753	1	36	licensee	licensee	PROPN
easat-2753	1	37	learning	learning	NOUN
easat-2753	1	38	gate	gate	NOUN
easat-2753	1	39	©	©	PROPN
easat-2753	1	40	2024	2024	NUM
easat-2753	1	41	by	by	ADP
easat-2753	1	42	the	the	DET
easat-2753	1	43	authors	author	NOUN
easat-2753	1	44	;	;	PUNCT
easat-2753	1	45	licensee	licensee	PROPN
easat-2753	1	46	learning	learn	VERB
easat-2753	1	47	gate	gate	NOUN
easat-2753	1	48	*	*	PUNCT
easat-2753	1	49	correspondence	correspondence	NOUN
easat-2753	1	50	:	:	PUNCT
easat-2753	1	51	g.elkahlout@arabou.edu.sa	g.elkahlout@arabou.edu.sa	PROPN
easat-2753	1	52	employing	employ	VERB
easat-2753	1	53	cluster	cluster	NOUN
easat-2753	1	54	analysis	analysis	NOUN
easat-2753	1	55	in	in	ADP
easat-2753	1	56	defining	define	VERB
easat-2753	1	57	groundwater	groundwater	NOUN
easat-2753	1	58	wells	well	NOUN
easat-2753	1	59	patterns	pattern	NOUN
easat-2753	1	60	in	in	ADP
easat-2753	1	61	rafah	rafah	PROPN
easat-2753	1	62	gamal	gamal	PROPN
easat-2753	1	63	r.	r.	PROPN
easat-2753	1	64	elkahlout1	elkahlout1	PROPN
easat-2753	1	65	*	*	PROPN
easat-2753	1	66	,	,	PUNCT
easat-2753	1	67	mohaned	mohane	VERB
easat-2753	1	68	a.	a.	NOUN
easat-2753	1	69	elkahlout2	elkahlout2	PROPN
easat-2753	2	1	1school	1school	NUM
easat-2753	2	2	of	of	ADP
easat-2753	2	3	business	business	NOUN
easat-2753	2	4	studies	study	NOUN
easat-2753	2	5	,	,	PUNCT
easat-2753	2	6	arab	arab	ADJ
easat-2753	2	7	open	open	PROPN
easat-2753	2	8	university	university	PROPN
easat-2753	2	9	,	,	PUNCT
easat-2753	2	10	riyadh	riyadh	PROPN
easat-2753	2	11	,	,	PUNCT
easat-2753	2	12	saudi	saudi	PROPN
easat-2753	2	13	arabia	arabia	PROPN
easat-2753	2	14	;	;	PUNCT
easat-2753	2	15	g.elkahlout@arabou.edu.sa	g.elkahlout@arabou.edu.sa	PROPN
easat-2753	2	16	(	(	PUNCT
easat-2753	2	17	g.r.e	g.r.e	NOUN
easat-2753	2	18	.	.	PUNCT
easat-2753	2	19	)	)	PUNCT
easat-2753	2	20	.	.	PUNCT
easat-2753	3	1	2faculty	2faculty	NUM
easat-2753	3	2	of	of	ADP
easat-2753	3	3	economic	economic	ADJ
easat-2753	3	4	and	and	CCONJ
easat-2753	3	5	administrative	administrative	ADJ
easat-2753	3	6	science	science	NOUN
easat-2753	3	7	,	,	PUNCT
easat-2753	3	8	al	al	PROPN
easat-2753	3	9	-	-	PUNCT
easat-2753	3	10	azhar	azhar	PROPN
easat-2753	3	11	university	university	PROPN
easat-2753	3	12	,	,	PUNCT
easat-2753	3	13	gaza	gaza	PROPN
easat-2753	3	14	;	;	PUNCT
easat-2753	3	15	pal.mohnnad@gmail.com	pal.mohnnad@gmail.com	X
easat-2753	3	16	(	(	PUNCT
easat-2753	3	17	m.a.e	m.a.e	NOUN
easat-2753	3	18	.	.	PUNCT
easat-2753	3	19	)	)	PUNCT
easat-2753	3	20	.	.	PUNCT
easat-2753	4	1	abstract	abstract	ADJ
easat-2753	4	2	:	:	PUNCT
easat-2753	4	3	clustering	cluster	VERB
easat-2753	4	4	analysis	analysis	NOUN
easat-2753	4	5	techniques	technique	NOUN
easat-2753	4	6	used	use	VERB
easat-2753	4	7	in	in	ADP
easat-2753	4	8	identifying	identify	VERB
easat-2753	4	9	homogeneity	homogeneity	NOUN
easat-2753	4	10	of	of	ADP
easat-2753	4	11	groundwater	groundwater	NOUN
easat-2753	4	12	wells	well	NOUN
easat-2753	4	13	patterns	pattern	NOUN
easat-2753	4	14	in	in	ADP
easat-2753	4	15	terms	term	NOUN
easat-2753	4	16	of	of	ADP
easat-2753	4	17	chloride	chloride	NOUN
easat-2753	4	18	,	,	PUNCT
easat-2753	4	19	nitrate	nitrate	NOUN
easat-2753	4	20	,	,	PUNCT
easat-2753	4	21	and	and	CCONJ
easat-2753	4	22	tds	tds	PROPN
easat-2753	4	23	.	.	PUNCT
easat-2753	5	1	data	datum	NOUN
easat-2753	5	2	was	be	AUX
easat-2753	5	3	collected	collect	VERB
easat-2753	5	4	through	through	ADP
easat-2753	5	5	the	the	DET
easat-2753	5	6	laboratories	laboratory	NOUN
easat-2753	5	7	of	of	ADP
easat-2753	5	8	palestinian	palestinian	ADJ
easat-2753	5	9	water	water	NOUN
easat-2753	5	10	authority	authority	NOUN
easat-2753	5	11	in	in	ADP
easat-2753	5	12	the	the	DET
easat-2753	5	13	rafah	rafah	NOUN
easat-2753	5	14	2020	2020	NUM
easat-2753	5	15	.	.	PUNCT
easat-2753	6	1	r	r	X
easat-2753	6	2	-	-	PUNCT
easat-2753	6	3	programming	programming	NOUN
easat-2753	6	4	is	be	AUX
easat-2753	6	5	used	use	VERB
easat-2753	6	6	for	for	ADP
easat-2753	6	7	data	datum	NOUN
easat-2753	6	8	analysis	analysis	NOUN
easat-2753	6	9	.	.	PUNCT
easat-2753	7	1	kolmogorovsmirnov	kolmogorovsmirnov	ADJ
easat-2753	7	2	test	test	NOUN
easat-2753	7	3	is	be	AUX
easat-2753	7	4	used	use	VERB
easat-2753	7	5	to	to	PART
easat-2753	7	6	test	test	VERB
easat-2753	7	7	data	datum	NOUN
easat-2753	7	8	normality	normality	NOUN
easat-2753	7	9	.	.	PUNCT
easat-2753	8	1	hierarchical	hierarchical	ADJ
easat-2753	8	2	clustering	clustering	ADJ
easat-2753	8	3	analysis	analysis	NOUN
easat-2753	8	4	applied	apply	VERB
easat-2753	8	5	to	to	PART
easat-2753	8	6	generate	generate	VERB
easat-2753	8	7	a	a	DET
easat-2753	8	8	cluster	cluster	NOUN
easat-2753	8	9	tree	tree	NOUN
easat-2753	8	10	(	(	PUNCT
easat-2753	8	11	r>0.75	r>0.75	PROPN
easat-2753	8	12	)	)	PUNCT
easat-2753	8	13	in	in	ADP
easat-2753	8	14	correlation	correlation	NOUN
easat-2753	8	15	matrix	matrix	NOUN
easat-2753	8	16	.	.	PUNCT
easat-2753	9	1	agglomerative	agglomerative	ADJ
easat-2753	9	2	hierarchical	hierarchical	ADJ
easat-2753	9	3	clustering	clustering	NOUN
easat-2753	9	4	is	be	AUX
easat-2753	9	5	used	use	VERB
easat-2753	9	6	to	to	PART
easat-2753	9	7	classify	classify	VERB
easat-2753	9	8	with	with	ADP
easat-2753	9	9	“	"	PUNCT
easat-2753	9	10	average	average	ADJ
easat-2753	9	11	”	"	PUNCT
easat-2753	9	12	method	method	NOUN
easat-2753	9	13	and	and	CCONJ
easat-2753	9	14	found	find	VERB
easat-2753	9	15	that	that	SCONJ
easat-2753	9	16	there	there	PRON
easat-2753	9	17	are	be	VERB
easat-2753	9	18	two	two	NUM
easat-2753	9	19	clusters	cluster	NOUN
easat-2753	9	20	.	.	PUNCT
easat-2753	10	1	first	first	ADJ
easat-2753	10	2	cluster	cluster	NOUN
easat-2753	10	3	with	with	ADP
easat-2753	10	4	28	28	NUM
easat-2753	10	5	wells	well	NOUN
easat-2753	10	6	and	and	CCONJ
easat-2753	10	7	second	second	ADJ
easat-2753	10	8	cluster	cluster	NOUN
easat-2753	10	9	with	with	ADP
easat-2753	10	10	9	9	NUM
easat-2753	10	11	wells	well	NOUN
easat-2753	10	12	.	.	PUNCT
easat-2753	11	1	test	test	NOUN
easat-2753	11	2	of	of	ADP
easat-2753	11	3	homogeneity	homogeneity	NOUN
easat-2753	11	4	between	between	ADP
easat-2753	11	5	the	the	DET
easat-2753	11	6	two	two	NUM
easat-2753	11	7	clusters	cluster	NOUN
easat-2753	11	8	groups	group	NOUN
easat-2753	11	9	using	use	VERB
easat-2753	11	10	t	t	NOUN
easat-2753	11	11	-	-	PUNCT
easat-2753	11	12	test	test	NOUN
easat-2753	11	13	for	for	ADP
easat-2753	11	14	the	the	DET
easat-2753	11	15	hierarchical	hierarchical	ADJ
easat-2753	11	16	clustering	clustering	NOUN
easat-2753	11	17	and	and	CCONJ
easat-2753	11	18	found	find	VERB
easat-2753	11	19	that	that	SCONJ
easat-2753	11	20	there	there	PRON
easat-2753	11	21	are	be	VERB
easat-2753	11	22	significant	significant	ADJ
easat-2753	11	23	differences	difference	NOUN
easat-2753	11	24	in	in	ADP
easat-2753	11	25	means	mean	NOUN
easat-2753	11	26	for	for	ADP
easat-2753	11	27	tds	tds	ADJ
easat-2753	11	28	and	and	CCONJ
easat-2753	11	29	for	for	ADP
easat-2753	11	30	chloride	chloride	NOUN
easat-2753	11	31	between	between	ADP
easat-2753	11	32	first	first	ADJ
easat-2753	11	33	cluster	cluster	NOUN
easat-2753	11	34	and	and	CCONJ
easat-2753	11	35	second	second	ADJ
easat-2753	11	36	cluster	cluster	NOUN
easat-2753	11	37	with	with	ADP
easat-2753	11	38	a	a	DET
easat-2753	11	39	significant	significant	ADJ
easat-2753	11	40	level	level	NOUN
easat-2753	11	41	less	less	ADJ
easat-2753	11	42	than	than	ADP
easat-2753	11	43	0.01	0.01	NUM
easat-2753	11	44	.	.	PUNCT
easat-2753	12	1	while	while	SCONJ
easat-2753	12	2	for	for	ADP
easat-2753	12	3	nitrates	nitrate	NOUN
easat-2753	12	4	,	,	PUNCT
easat-2753	12	5	also	also	ADV
easat-2753	12	6	,	,	PUNCT
easat-2753	12	7	there	there	PRON
easat-2753	12	8	are	be	VERB
easat-2753	12	9	significant	significant	ADJ
easat-2753	12	10	differences	difference	NOUN
easat-2753	12	11	in	in	ADP
easat-2753	12	12	means	mean	NOUN
easat-2753	12	13	between	between	ADP
easat-2753	12	14	the	the	DET
easat-2753	12	15	first	first	ADJ
easat-2753	12	16	cluster	cluster	NOUN
easat-2753	12	17	and	and	CCONJ
easat-2753	12	18	second	second	ADJ
easat-2753	12	19	cluster	cluster	NOUN
easat-2753	12	20	with	with	ADP
easat-2753	12	21	a	a	DET
easat-2753	12	22	significant	significant	ADJ
easat-2753	12	23	level	level	NOUN
easat-2753	12	24	less	less	ADJ
easat-2753	12	25	than	than	ADP
easat-2753	12	26	0.05	0.05	NUM
easat-2753	12	27	.	.	PUNCT
easat-2753	13	1	different	different	ADJ
easat-2753	13	2	stability	stability	NOUN
easat-2753	13	3	validation	validation	NOUN
easat-2753	13	4	measures	measure	NOUN
easat-2753	13	5	carried	carry	VERB
easat-2753	13	6	out	out	ADP
easat-2753	13	7	for	for	ADP
easat-2753	13	8	data	datum	NOUN
easat-2753	13	9	concludes	conclude	VERB
easat-2753	13	10	that	that	SCONJ
easat-2753	13	11	for	for	ADP
easat-2753	13	12	the	the	DET
easat-2753	13	13	apn	apn	PROPN
easat-2753	13	14	and	and	CCONJ
easat-2753	13	15	adm	adm	PROPN
easat-2753	13	16	measures	measure	NOUN
easat-2753	13	17	,	,	PUNCT
easat-2753	13	18	hierarchical	hierarchical	ADJ
easat-2753	13	19	clustering	clustering	NOUN
easat-2753	13	20	with	with	ADP
easat-2753	13	21	two	two	NUM
easat-2753	13	22	clusters	cluster	NOUN
easat-2753	13	23	again	again	ADV
easat-2753	13	24	gives	give	VERB
easat-2753	13	25	the	the	DET
easat-2753	13	26	best	good	ADJ
easat-2753	13	27	score	score	NOUN
easat-2753	13	28	.	.	PUNCT
easat-2753	14	1	three	three	NUM
easat-2753	14	2	internal	internal	ADJ
easat-2753	14	3	cluster	cluster	NOUN
easat-2753	14	4	validation	validation	NOUN
easat-2753	14	5	measures	measure	NOUN
easat-2753	14	6	are	be	AUX
easat-2753	14	7	used	use	VERB
easat-2753	14	8	.	.	PUNCT
easat-2753	15	1	concludes	conclude	VERB
easat-2753	15	2	that	that	SCONJ
easat-2753	15	3	hierarchical	hierarchical	ADJ
easat-2753	15	4	clustering	clustering	NOUN
easat-2753	15	5	with	with	ADP
easat-2753	15	6	two	two	NUM
easat-2753	15	7	clusters	cluster	NOUN
easat-2753	15	8	performs	perform	VERB
easat-2753	15	9	the	the	DET
easat-2753	15	10	best	good	ADJ
easat-2753	15	11	in	in	ADP
easat-2753	15	12	(	(	PUNCT
easat-2753	15	13	connective	connective	ADJ
easat-2753	15	14	,	,	PUNCT
easat-2753	15	15	dunn	dunn	PROPN
easat-2753	15	16	,	,	PUNCT
easat-2753	15	17	and	and	CCONJ
easat-2753	15	18	silhouette	silhouette	NOUN
easat-2753	15	19	)	)	PUNCT
easat-2753	15	20	.	.	PUNCT
easat-2753	16	1	recall	recall	VERB
easat-2753	16	2	that	that	SCONJ
easat-2753	16	3	the	the	DET
easat-2753	16	4	connectivity	connectivity	NOUN
easat-2753	16	5	should	should	AUX
easat-2753	16	6	be	be	AUX
easat-2753	16	7	minimized	minimize	VERB
easat-2753	16	8	,	,	PUNCT
easat-2753	16	9	while	while	SCONJ
easat-2753	16	10	both	both	CCONJ
easat-2753	16	11	the	the	DET
easat-2753	16	12	dunn	dunn	PROPN
easat-2753	16	13	index	index	NOUN
easat-2753	16	14	and	and	CCONJ
easat-2753	16	15	the	the	DET
easat-2753	16	16	silhouette	silhouette	NOUN
easat-2753	16	17	width	width	NOUN
easat-2753	16	18	should	should	AUX
easat-2753	16	19	be	be	AUX
easat-2753	16	20	maximized	maximize	VERB
easat-2753	16	21	.	.	PUNCT
easat-2753	17	1	thus	thus	ADV
easat-2753	17	2	,	,	PUNCT
easat-2753	17	3	hierarchical	hierarchical	ADJ
easat-2753	17	4	clustering	clustering	NOUN
easat-2753	17	5	outperforms	outperform	NOUN
easat-2753	17	6	the	the	DET
easat-2753	17	7	other	other	ADJ
easat-2753	17	8	clustering	clustering	ADJ
easat-2753	17	9	algorithms	algorithm	NOUN
easat-2753	17	10	under	under	ADP
easat-2753	17	11	each	each	DET
easat-2753	17	12	validation	validation	NOUN
easat-2753	17	13	measure	measure	NOUN
easat-2753	17	14	.	.	PUNCT
easat-2753	18	1	keywords	keyword	NOUN
easat-2753	18	2	:	:	PUNCT
easat-2753	18	3	agglomerative	agglomerative	ADJ
easat-2753	18	4	hierarchical	hierarchical	ADJ
easat-2753	18	5	clustering	clustering	NOUN
easat-2753	18	6	,	,	PUNCT
easat-2753	18	7	chloride	chloride	NOUN
easat-2753	18	8	nitrates	nitrate	NOUN
easat-2753	18	9	,	,	PUNCT
easat-2753	18	10	chloride	chloride	NOUN
easat-2753	18	11	,	,	PUNCT
easat-2753	18	12	hierarchical	hierarchical	ADJ
easat-2753	18	13	clustering	clustering	ADJ
easat-2753	18	14	analysis	analysis	NOUN
easat-2753	18	15	,	,	PUNCT
easat-2753	18	16	hierarchical	hierarchical	ADJ
easat-2753	18	17	,	,	PUNCT
easat-2753	18	18	k	k	NOUN
easat-2753	18	19	-	-	PUNCT
easat-2753	18	20	means	means	PROPN
easat-2753	18	21	,	,	PUNCT
easat-2753	18	22	kolmogorov	kolmogorov	ADJ
easat-2753	18	23	-	-	PUNCT
easat-2753	18	24	smirnov	smirnov	NOUN
easat-2753	18	25	,	,	PUNCT
easat-2753	18	26	nitrate	nitrate	NOUN
easat-2753	18	27	,	,	PUNCT
easat-2753	18	28	stability	stability	NOUN
easat-2753	18	29	,	,	PUNCT
easat-2753	18	30	internal	internal	ADJ
easat-2753	18	31	cluster	cluster	NOUN
easat-2753	18	32	validation	validation	NOUN
easat-2753	18	33	measures	measure	NOUN
easat-2753	18	34	,	,	PUNCT
easat-2753	18	35	tds	tds	PROPN
easat-2753	18	36	,	,	PUNCT
easat-2753	18	37	t	t	NOUN
easat-2753	18	38	-	-	PUNCT
easat-2753	18	39	test	test	NOUN
easat-2753	18	40	,	,	PUNCT
easat-2753	18	41	tds	tds	PROPN
easat-2753	18	42	.	.	PUNCT
easat-2753	19	1	1	1	X
easat-2753	19	2	.	.	X
easat-2753	19	3	introduction	introduction	NOUN
easat-2753	19	4	this	this	DET
easat-2753	19	5	research	research	NOUN
easat-2753	19	6	uses	use	VERB
easat-2753	19	7	clustering	cluster	VERB
easat-2753	19	8	analysis	analysis	NOUN
easat-2753	19	9	to	to	PART
easat-2753	19	10	study	study	VERB
easat-2753	19	11	patterns	pattern	NOUN
easat-2753	19	12	of	of	ADP
easat-2753	19	13	water	water	NOUN
easat-2753	19	14	in	in	ADP
easat-2753	19	15	the	the	DET
easat-2753	19	16	rafah	rafah	NOUN
easat-2753	19	17	area	area	NOUN
easat-2753	19	18	,	,	PUNCT
easat-2753	19	19	in	in	ADP
easat-2753	19	20	terms	term	NOUN
easat-2753	19	21	of	of	ADP
easat-2753	19	22	the	the	DET
easat-2753	19	23	chemical	chemical	NOUN
easat-2753	19	24	composition	composition	NOUN
easat-2753	19	25	of	of	ADP
easat-2753	19	26	drinking	drinking	NOUN
easat-2753	19	27	water	water	NOUN
easat-2753	19	28	wells	well	NOUN
easat-2753	19	29	.	.	PUNCT
easat-2753	20	1	this	this	DET
easat-2753	20	2	pattern	pattern	NOUN
easat-2753	20	3	will	will	AUX
easat-2753	20	4	be	be	AUX
easat-2753	20	5	developed	develop	VERB
easat-2753	20	6	and	and	CCONJ
easat-2753	20	7	compared	compare	VERB
easat-2753	20	8	with	with	ADP
easat-2753	20	9	local	local	ADJ
easat-2753	20	10	and	and	CCONJ
easat-2753	20	11	international	international	ADJ
easat-2753	20	12	patterns	pattern	NOUN
easat-2753	20	13	for	for	ADP
easat-2753	20	14	human	human	ADJ
easat-2753	20	15	use	use	NOUN
easat-2753	20	16	of	of	ADP
easat-2753	20	17	water	water	NOUN
easat-2753	20	18	(	(	PUNCT
easat-2753	20	19	drinking	drinking	NOUN
easat-2753	20	20	,	,	PUNCT
easat-2753	20	21	agricultural	agricultural	ADJ
easat-2753	20	22	,	,	PUNCT
easat-2753	20	23	industrial	industrial	ADJ
easat-2753	20	24	)	)	PUNCT
easat-2753	20	25	.	.	PUNCT
easat-2753	21	1	cluster	cluster	NOUN
easat-2753	21	2	analysis	analysis	NOUN
easat-2753	21	3	will	will	AUX
easat-2753	21	4	depend	depend	VERB
easat-2753	21	5	on	on	ADP
easat-2753	21	6	data	datum	NOUN
easat-2753	21	7	clustered	cluster	VERB
easat-2753	21	8	in	in	ADP
easat-2753	21	9	groups	group	NOUN
easat-2753	21	10	according	accord	VERB
easat-2753	21	11	to	to	ADP
easat-2753	21	12	similarities	similarity	NOUN
easat-2753	21	13	in	in	ADP
easat-2753	21	14	chemical	chemical	ADJ
easat-2753	21	15	compounds	compound	NOUN
easat-2753	21	16	.	.	PUNCT
easat-2753	22	1	cluster	cluster	NOUN
easat-2753	22	2	analysis	analysis	NOUN
easat-2753	22	3	is	be	AUX
easat-2753	22	4	one	one	NUM
easat-2753	22	5	of	of	ADP
easat-2753	22	6	the	the	DET
easat-2753	22	7	famous	famous	ADJ
easat-2753	22	8	methods	method	NOUN
easat-2753	22	9	in	in	ADP
easat-2753	22	10	multiple	multiple	ADJ
easat-2753	22	11	data	datum	NOUN
easat-2753	22	12	analysis	analysis	NOUN
easat-2753	22	13	to	to	ADP
easat-2753	22	14	group	group	NOUN
easat-2753	22	15	a	a	DET
easat-2753	22	16	set	set	NOUN
easat-2753	22	17	of	of	ADP
easat-2753	22	18	objects	object	NOUN
easat-2753	22	19	in	in	ADP
easat-2753	22	20	such	such	DET
easat-2753	22	21	a	a	DET
easat-2753	22	22	way	way	NOUN
easat-2753	22	23	that	that	PRON
easat-2753	22	24	objects	object	VERB
easat-2753	22	25	in	in	ADP
easat-2753	22	26	the	the	DET
easat-2753	22	27	same	same	ADJ
easat-2753	22	28	group	group	NOUN
easat-2753	22	29	(	(	PUNCT
easat-2753	22	30	or	or	CCONJ
easat-2753	22	31	cluster	cluster	NOUN
easat-2753	22	32	)	)	PUNCT
easat-2753	22	33	are	be	AUX
easat-2753	22	34	more	more	ADV
easat-2753	22	35	similar	similar	ADJ
easat-2753	22	36	to	to	ADP
easat-2753	22	37	each	each	DET
easat-2753	22	38	other	other	ADJ
easat-2753	22	39	than	than	ADP
easat-2753	22	40	to	to	ADP
easat-2753	22	41	those	those	PRON
easat-2753	22	42	in	in	ADP
easat-2753	22	43	other	other	ADJ
easat-2753	22	44	groups	group	NOUN
easat-2753	22	45	.	.	PUNCT
easat-2753	23	1	this	this	DET
easat-2753	23	2	similarity	similarity	NOUN
easat-2753	23	3	is	be	AUX
easat-2753	23	4	often	often	ADV
easat-2753	23	5	determined	determine	VERB
easat-2753	23	6	based	base	VERB
easat-2753	23	7	on	on	ADP
easat-2753	23	8	specific	specific	ADJ
easat-2753	23	9	criteria	criterion	NOUN
easat-2753	23	10	or	or	CCONJ
easat-2753	23	11	distance	distance	NOUN
easat-2753	23	12	metrics	metric	NOUN
easat-2753	23	13	.	.	PUNCT
easat-2753	24	1	there	there	PRON
easat-2753	24	2	are	be	VERB
easat-2753	24	3	related	related	ADJ
easat-2753	24	4	studies	study	NOUN
easat-2753	24	5	that	that	PRON
easat-2753	24	6	have	have	AUX
easat-2753	24	7	been	be	AUX
easat-2753	24	8	performed	perform	VERB
easat-2753	24	9	and	and	CCONJ
easat-2753	24	10	evaluated	evaluate	VERB
easat-2753	24	11	classifier	classifier	ADJ
easat-2753	24	12	performance	performance	NOUN
easat-2753	24	13	of	of	ADP
easat-2753	24	14	cluster	cluster	NOUN
easat-2753	24	15	analysis	analysis	NOUN
easat-2753	24	16	,	,	PUNCT
easat-2753	24	17	and	and	CCONJ
easat-2753	24	18	to	to	PART
easat-2753	24	19	find	find	VERB
easat-2753	24	20	the	the	DET
easat-2753	24	21	characteristics	characteristic	NOUN
easat-2753	24	22	that	that	PRON
easat-2753	24	23	may	may	AUX
easat-2753	24	24	affect	affect	VERB
easat-2753	24	25	the	the	DET
easat-2753	24	26	classifier	classifier	NOUN
easat-2753	24	27	performance	performance	NOUN
easat-2753	24	28	.	.	PUNCT
easat-2753	25	1	a	a	DET
easat-2753	25	2	multivariate	multivariate	ADJ
easat-2753	25	3	statistical	statistical	ADJ
easat-2753	25	4	technique	technique	NOUN
easat-2753	25	5	including	include	VERB
easat-2753	25	6	factor	factor	NOUN
easat-2753	25	7	analysis	analysis	NOUN
easat-2753	25	8	,	,	PUNCT
easat-2753	25	9	principal	principal	ADJ
easat-2753	25	10	analysis	analysis	NOUN
easat-2753	25	11	component	component	NOUN
easat-2753	25	12	and	and	CCONJ
easat-2753	25	13	cluster	cluster	NOUN
easat-2753	25	14	analysis	analysis	NOUN
easat-2753	25	15	are	be	AUX
easat-2753	25	16	successfully	successfully	ADV
easat-2753	25	17	used	use	VERB
easat-2753	25	18	by	by	ADP
easat-2753	25	19	tardif	tardif	PROPN
easat-2753	25	20	(	(	PUNCT
easat-2753	25	21	2015	2015	NUM
easat-2753	25	22	)	)	PUNCT
easat-2753	25	23	to	to	PART
easat-2753	25	24	derive	derive	VERB
easat-2753	25	25	information	information	NOUN
easat-2753	25	26	from	from	ADP
easat-2753	25	27	the	the	DET
easat-2753	25	28	data	datum	NOUN
easat-2753	25	29	set	set	VERB
easat-2753	25	30	about	about	ADP
easat-2753	25	31	the	the	DET
easat-2753	25	32	possible	possible	ADJ
easat-2753	25	33	influences	influence	NOUN
easat-2753	25	34	of	of	ADP
easat-2753	25	35	the	the	DET
easat-2753	25	36	environment	environment	NOUN
easat-2753	25	37	on	on	ADP
easat-2753	25	38	water	water	NOUN
easat-2753	25	39	quality	quality	NOUN
easat-2753	25	40	and	and	CCONJ
easat-2753	25	41	identify	identify	VERB
easat-2753	25	42	natural	natural	ADJ
easat-2753	25	43	groupings	grouping	NOUN
easat-2753	25	44	in	in	ADP
easat-2753	25	45	the	the	DET
easat-2753	25	46	set	set	NOUN
easat-2753	25	47	of	of	ADP
easat-2753	25	48	data	datum	NOUN
easat-2753	25	49	.	.	PUNCT
easat-2753	26	1	these	these	DET
easat-2753	26	2	methods	method	NOUN
easat-2753	26	3	are	be	AUX
easat-2753	26	4	important	important	ADJ
easat-2753	26	5	to	to	PART
easat-2753	26	6	avoid	avoid	VERB
easat-2753	26	7	misinterpretation	misinterpretation	NOUN
easat-2753	26	8	of	of	ADP
easat-2753	26	9	environmental	environmental	ADJ
easat-2753	26	10	monitoring	monitoring	NOUN
easat-2753	26	11	data	datum	NOUN
easat-2753	26	12	due	due	ADP
easat-2753	26	13	to	to	ADP
easat-2753	26	14	uncertainties	uncertainty	NOUN
easat-2753	26	15	.	.	PUNCT
easat-2753	27	1	cluster	cluster	NOUN
easat-2753	27	2	analyses	analysis	NOUN
easat-2753	27	3	are	be	AUX
easat-2753	27	4	used	use	VERB
easat-2753	27	5	by	by	ADP
easat-2753	27	6	wang	wang	PROPN
easat-2753	27	7	et.al	et.al	PROPN
easat-2753	27	8	(	(	PUNCT
easat-2753	27	9	2015	2015	NUM
easat-2753	27	10	)	)	PUNCT
easat-2753	27	11	by	by	ADP
easat-2753	27	12	modified	modify	VERB
easat-2753	27	13	varying	vary	VERB
easat-2753	27	14	weight	weight	NOUN
easat-2753	27	15	.	.	PUNCT
easat-2753	28	1	k	k	X
easat-2753	28	2	-	-	PUNCT
easat-2753	28	3	means	mean	VERB
easat-2753	28	4	cluster	cluster	NOUN
easat-2753	28	5	algorithm	algorithm	NOUN
easat-2753	28	6	is	be	AUX
easat-2753	28	7	proposed	propose	VERB
easat-2753	28	8	to	to	PART
easat-2753	28	9	classify	classify	VERB
easat-2753	28	10	the	the	DET
easat-2753	28	11	water	water	NOUN
easat-2753	28	12	quality	quality	NOUN
easat-2753	28	13	in	in	ADP
easat-2753	28	14	the	the	DET
easat-2753	28	15	haihe	haihe	PROPN
easat-2753	28	16	river	river	PROPN
easat-2753	28	17	in	in	ADP
easat-2753	28	18	china	china	PROPN
easat-2753	28	19	.	.	PUNCT
easat-2753	29	1	the	the	DET
easat-2753	29	2	new	new	ADJ
easat-2753	29	3	algorithm	algorithm	NOUN
easat-2753	29	4	avoids	avoid	VERB
easat-2753	29	5	the	the	DET
easat-2753	29	6	margin	margin	NOUN
easat-2753	29	7	of	of	ADP
easat-2753	29	8	the	the	DET
easat-2753	29	9	iteration	iteration	NOUN
easat-2753	29	10	not	not	PART
easat-2753	29	11	being	be	AUX
easat-2753	29	12	calculated	calculate	VERB
easat-2753	29	13	in	in	ADP
easat-2753	29	14	some	some	DET
easat-2753	29	15	cases	case	NOUN
easat-2753	29	16	and	and	CCONJ
easat-2753	29	17	improves	improve	VERB
easat-2753	29	18	the	the	DET
easat-2753	29	19	efficiency	efficiency	NOUN
easat-2753	29	20	of	of	ADP
easat-2753	29	21	data	datum	NOUN
easat-2753	29	22	processing	processing	NOUN
easat-2753	29	23	.	.	PUNCT
easat-2753	30	1	the	the	DET
easat-2753	30	2	result	result	NOUN
easat-2753	30	3	classified	classify	VERB
easat-2753	30	4	the	the	DET
easat-2753	30	5	seven	seven	NUM
easat-2753	30	6	sampling	sample	VERB
easat-2753	30	7	sites	site	NOUN
easat-2753	30	8	into	into	ADP
easat-2753	30	9	four	four	NUM
easat-2753	30	10	groups	group	NOUN
easat-2753	30	11	.	.	PUNCT
easat-2753	31	1	the	the	DET
easat-2753	31	2	two	two	NUM
easat-2753	31	3	reservoirs	reservoir	NOUN
easat-2753	31	4	are	be	AUX
easat-2753	31	5	the	the	DET
easat-2753	31	6	3543	3543	NUM
easat-2753	31	7	edelweiss	edelweiss	PROPN
easat-2753	31	8	applied	apply	VERB
easat-2753	31	9	science	science	NOUN
easat-2753	31	10	and	and	CCONJ
easat-2753	31	11	technology	technology	NOUN
easat-2753	31	12	issn	issn	PROPN
easat-2753	31	13	:	:	PUNCT
easat-2753	31	14	2576	2576	NUM
easat-2753	31	15	-	-	SYM
easat-2753	31	16	8484	8484	NUM
easat-2753	31	17	vol	vol	NOUN
easat-2753	31	18	.	.	PROPN
easat-2753	31	19	8	8	NUM
easat-2753	31	20	,	,	PUNCT
easat-2753	31	21	no	no	INTJ
easat-2753	31	22	.	.	NOUN
easat-2753	32	1	6	6	NUM
easat-2753	32	2	:	:	SYM
easat-2753	32	3	3542	3542	NUM
easat-2753	32	4	-	-	SYM
easat-2753	32	5	3555	3555	NUM
easat-2753	32	6	,	,	PUNCT
easat-2753	32	7	2024	2024	NUM
easat-2753	32	8	doi	doi	NOUN
easat-2753	32	9	:	:	PUNCT
easat-2753	32	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	32	11	©	©	PROPN
easat-2753	32	12	2024	2024	NUM
easat-2753	32	13	by	by	ADP
easat-2753	32	14	the	the	DET
easat-2753	32	15	authors	author	NOUN
easat-2753	32	16	;	;	PUNCT
easat-2753	32	17	licensee	licensee	PROPN
easat-2753	32	18	learning	learning	NOUN
easat-2753	32	19	gate	gate	VERB
easat-2753	32	20	major	major	ADJ
easat-2753	32	21	drinking	drinking	NOUN
easat-2753	32	22	water	water	NOUN
easat-2753	32	23	headwater	headwater	NOUN
easat-2753	32	24	sites	site	NOUN
easat-2753	32	25	of	of	ADP
easat-2753	32	26	the	the	DET
easat-2753	32	27	capital	capital	NOUN
easat-2753	32	28	beijing	beijing	PROPN
easat-2753	32	29	and	and	CCONJ
easat-2753	32	30	the	the	DET
easat-2753	32	31	provincial	provincial	ADJ
easat-2753	32	32	capital	capital	NOUN
easat-2753	32	33	of	of	ADP
easat-2753	32	34	shijiazhuang	shijiazhuang	PROPN
easat-2753	32	35	.	.	PUNCT
easat-2753	33	1	they	they	PRON
easat-2753	33	2	were	be	AUX
easat-2753	33	3	relatively	relatively	ADV
easat-2753	33	4	far	far	ADV
easat-2753	33	5	from	from	ADP
easat-2753	33	6	pollution	pollution	NOUN
easat-2753	33	7	sources	source	NOUN
easat-2753	33	8	and	and	CCONJ
easat-2753	33	9	had	have	VERB
easat-2753	33	10	better	well	ADJ
easat-2753	33	11	protection	protection	NOUN
easat-2753	33	12	of	of	ADP
easat-2753	33	13	water	water	NOUN
easat-2753	33	14	resources	resource	NOUN
easat-2753	33	15	.	.	PUNCT
easat-2753	34	1	multivariate	multivariate	VERB
easat-2753	34	2	statistical	statistical	ADJ
easat-2753	34	3	methods	method	NOUN
easat-2753	34	4	,	,	PUNCT
easat-2753	34	5	studied	study	VERB
easat-2753	34	6	by	by	ADP
easat-2753	34	7	muangthon	muangthon	PROPN
easat-2753	34	8	(	(	PUNCT
easat-2753	34	9	2015	2015	NUM
easat-2753	34	10	)	)	PUNCT
easat-2753	34	11	,	,	PUNCT
easat-2753	34	12	namely	namely	ADV
easat-2753	34	13	,	,	PUNCT
easat-2753	34	14	hierarchical	hierarchical	ADJ
easat-2753	34	15	agglomerative	agglomerative	ADJ
easat-2753	34	16	cluster	cluster	NOUN
easat-2753	34	17	analysis	analysis	NOUN
easat-2753	34	18	(	(	PUNCT
easat-2753	34	19	haca	haca	PROPN
easat-2753	34	20	)	)	PUNCT
easat-2753	34	21	,	,	PUNCT
easat-2753	34	22	discriminant	discriminant	ADJ
easat-2753	34	23	analysis	analysis	NOUN
easat-2753	34	24	,	,	PUNCT
easat-2753	34	25	principal	principal	ADJ
easat-2753	34	26	component	component	NOUN
easat-2753	34	27	analysis	analysis	NOUN
easat-2753	34	28	,	,	PUNCT
easat-2753	34	29	and	and	CCONJ
easat-2753	34	30	the	the	DET
easat-2753	34	31	factor	factor	NOUN
easat-2753	34	32	analysis	analysis	NOUN
easat-2753	34	33	were	be	AUX
easat-2753	34	34	used	use	VERB
easat-2753	34	35	to	to	PART
easat-2753	34	36	study	study	VERB
easat-2753	34	37	the	the	DET
easat-2753	34	38	spatial	spatial	ADJ
easat-2753	34	39	variations	variation	NOUN
easat-2753	34	40	of	of	ADP
easat-2753	34	41	the	the	DET
easat-2753	34	42	most	most	ADV
easat-2753	34	43	significant	significant	ADJ
easat-2753	34	44	water	water	NOUN
easat-2753	34	45	quality	quality	NOUN
easat-2753	34	46	variables	variable	NOUN
easat-2753	34	47	and	and	CCONJ
easat-2753	34	48	to	to	PART
easat-2753	34	49	determine	determine	VERB
easat-2753	34	50	the	the	DET
easat-2753	34	51	origin	origin	NOUN
easat-2753	34	52	of	of	ADP
easat-2753	34	53	pollution	pollution	NOUN
easat-2753	34	54	sources	source	NOUN
easat-2753	34	55	.	.	PUNCT
easat-2753	35	1	sixteen	sixteen	NUM
easat-2753	35	2	water	water	NOUN
easat-2753	35	3	quality	quality	NOUN
easat-2753	35	4	parameters	parameter	NOUN
easat-2753	35	5	were	be	AUX
easat-2753	35	6	initially	initially	ADV
easat-2753	35	7	selected	select	VERB
easat-2753	35	8	and	and	CCONJ
easat-2753	35	9	analyzed	analyze	VERB
easat-2753	35	10	.	.	PUNCT
easat-2753	36	1	two	two	NUM
easat-2753	36	2	spatial	spatial	ADJ
easat-2753	36	3	clusters	cluster	NOUN
easat-2753	36	4	were	be	AUX
easat-2753	36	5	formed	form	VERB
easat-2753	36	6	based	base	VERB
easat-2753	36	7	on	on	ADP
easat-2753	36	8	haca	haca	PROPN
easat-2753	36	9	.	.	PUNCT
easat-2753	37	1	these	these	DET
easat-2753	37	2	clusters	cluster	NOUN
easat-2753	37	3	are	be	AUX
easat-2753	37	4	designated	designate	VERB
easat-2753	37	5	as	as	ADP
easat-2753	37	6	upper	upper	ADJ
easat-2753	37	7	part	part	NOUN
easat-2753	37	8	of	of	ADP
easat-2753	37	9	nampong	nampong	PROPN
easat-2753	37	10	river	river	NOUN
easat-2753	37	11	and	and	CCONJ
easat-2753	37	12	lower	low	ADJ
easat-2753	37	13	part	part	NOUN
easat-2753	37	14	of	of	ADP
easat-2753	37	15	nampong	nampong	ADJ
easat-2753	37	16	river	river	NOUN
easat-2753	37	17	regions	region	NOUN
easat-2753	37	18	.	.	PUNCT
easat-2753	38	1	multivariate	multivariate	NOUN
easat-2753	38	2	methods	method	NOUN
easat-2753	38	3	in	in	ADP
easat-2753	38	4	drinking	drink	VERB
easat-2753	38	5	water	water	NOUN
easat-2753	38	6	analysis	analysis	NOUN
easat-2753	38	7	are	be	AUX
easat-2753	38	8	used	use	VERB
easat-2753	38	9	by	by	ADP
easat-2753	38	10	jankowska	jankowska	PROPN
easat-2753	38	11	et.al	et.al	PROPN
easat-2753	38	12	(	(	PUNCT
easat-2753	38	13	2017	2017	NUM
easat-2753	38	14	)	)	PUNCT
easat-2753	38	15	during	during	ADP
easat-2753	38	16	a	a	DET
easat-2753	38	17	fiveyear	fiveyear	NOUN
easat-2753	38	18	project	project	NOUN
easat-2753	38	19	,	,	PUNCT
easat-2753	38	20	from	from	ADP
easat-2753	38	21	2008	2008	NUM
easat-2753	38	22	to	to	ADP
easat-2753	38	23	2012	2012	NUM
easat-2753	38	24	,	,	PUNCT
easat-2753	38	25	selected	select	VERB
easat-2753	38	26	chemical	chemical	NOUN
easat-2753	38	27	parameters	parameter	NOUN
easat-2753	38	28	in	in	ADP
easat-2753	38	29	11	11	NUM
easat-2753	38	30	water	water	NOUN
easat-2753	38	31	supply	supply	NOUN
easat-2753	38	32	networks	network	NOUN
easat-2753	38	33	of	of	ADP
easat-2753	38	34	the	the	DET
easat-2753	38	35	siedlce	siedlce	PROPN
easat-2753	38	36	county	county	PROPN
easat-2753	38	37	were	be	AUX
easat-2753	38	38	studied	study	VERB
easat-2753	38	39	.	.	PUNCT
easat-2753	39	1	throughout	throughout	ADP
easat-2753	39	2	that	that	DET
easat-2753	39	3	period	period	NOUN
easat-2753	39	4	drinking	drinking	NOUN
easat-2753	39	5	water	water	NOUN
easat-2753	39	6	was	be	AUX
easat-2753	39	7	of	of	ADP
easat-2753	39	8	satisfactory	satisfactory	ADJ
easat-2753	39	9	quality	quality	NOUN
easat-2753	39	10	,	,	PUNCT
easat-2753	39	11	with	with	ADP
easat-2753	39	12	only	only	ADV
easat-2753	39	13	iron	iron	NOUN
easat-2753	39	14	and	and	CCONJ
easat-2753	39	15	manganese	manganese	ADJ
easat-2753	39	16	ions	ion	NOUN
easat-2753	39	17	exceeding	exceed	VERB
easat-2753	39	18	the	the	DET
easat-2753	39	19	limits	limit	NOUN
easat-2753	39	20	(	(	PUNCT
easat-2753	39	21	21	21	NUM
easat-2753	39	22	times	time	NOUN
easat-2753	39	23	and	and	CCONJ
easat-2753	39	24	12	12	NUM
easat-2753	39	25	times	time	NOUN
easat-2753	39	26	,	,	PUNCT
easat-2753	39	27	respectively	respectively	ADV
easat-2753	39	28	)	)	PUNCT
easat-2753	39	29	.	.	PUNCT
easat-2753	40	1	in	in	ADP
easat-2753	40	2	accordance	accordance	NOUN
easat-2753	40	3	with	with	ADP
easat-2753	40	4	the	the	DET
easat-2753	40	5	results	result	NOUN
easat-2753	40	6	of	of	ADP
easat-2753	40	7	cluster	cluster	NOUN
easat-2753	40	8	analysis	analysis	NOUN
easat-2753	40	9	,	,	PUNCT
easat-2753	40	10	all	all	DET
easat-2753	40	11	water	water	NOUN
easat-2753	40	12	networks	network	NOUN
easat-2753	40	13	were	be	AUX
easat-2753	40	14	put	put	VERB
easat-2753	40	15	into	into	ADP
easat-2753	40	16	three	three	NUM
easat-2753	40	17	groups	group	NOUN
easat-2753	40	18	of	of	ADP
easat-2753	40	19	different	different	ADJ
easat-2753	40	20	water	water	NOUN
easat-2753	40	21	quality	quality	NOUN
easat-2753	40	22	.	.	PUNCT
easat-2753	41	1	a	a	DET
easat-2753	41	2	high	high	ADJ
easat-2753	41	3	concentration	concentration	NOUN
easat-2753	41	4	of	of	ADP
easat-2753	41	5	chlorides	chloride	NOUN
easat-2753	41	6	,	,	PUNCT
easat-2753	41	7	sulphates	sulphate	NOUN
easat-2753	41	8	,	,	PUNCT
easat-2753	41	9	and	and	CCONJ
easat-2753	41	10	manganese	manganese	NOUN
easat-2753	41	11	and	and	CCONJ
easat-2753	41	12	a	a	DET
easat-2753	41	13	low	low	ADJ
easat-2753	41	14	concentration	concentration	NOUN
easat-2753	41	15	of	of	ADP
easat-2753	41	16	copper	copper	NOUN
easat-2753	41	17	and	and	CCONJ
easat-2753	41	18	sodium	sodium	NOUN
easat-2753	41	19	was	be	AUX
easat-2753	41	20	found	find	VERB
easat-2753	41	21	in	in	ADP
easat-2753	41	22	the	the	DET
easat-2753	41	23	water	water	NOUN
easat-2753	41	24	of	of	ADP
easat-2753	41	25	group	group	NOUN
easat-2753	41	26	1	1	NUM
easat-2753	41	27	supply	supply	NOUN
easat-2753	41	28	networks	network	NOUN
easat-2753	41	29	.	.	PUNCT
easat-2753	42	1	the	the	DET
easat-2753	42	2	water	water	NOUN
easat-2753	42	3	in	in	ADP
easat-2753	42	4	group	group	NOUN
easat-2753	42	5	2	2	NUM
easat-2753	42	6	had	have	VERB
easat-2753	42	7	a	a	DET
easat-2753	42	8	high	high	ADJ
easat-2753	42	9	concentration	concentration	NOUN
easat-2753	42	10	of	of	ADP
easat-2753	42	11	copper	copper	NOUN
easat-2753	42	12	and	and	CCONJ
easat-2753	42	13	sodium	sodium	NOUN
easat-2753	42	14	,	,	PUNCT
easat-2753	42	15	and	and	CCONJ
easat-2753	42	16	a	a	DET
easat-2753	42	17	low	low	ADJ
easat-2753	42	18	concentration	concentration	NOUN
easat-2753	42	19	of	of	ADP
easat-2753	42	20	iron	iron	NOUN
easat-2753	42	21	and	and	CCONJ
easat-2753	42	22	sulphates	sulphate	NOUN
easat-2753	42	23	.	.	PUNCT
easat-2753	43	1	the	the	DET
easat-2753	43	2	water	water	NOUN
easat-2753	43	3	from	from	ADP
easat-2753	43	4	group	group	NOUN
easat-2753	43	5	3	3	NUM
easat-2753	43	6	had	have	VERB
easat-2753	43	7	a	a	DET
easat-2753	43	8	low	low	ADJ
easat-2753	43	9	concentration	concentration	NOUN
easat-2753	43	10	of	of	ADP
easat-2753	43	11	chlorides	chloride	NOUN
easat-2753	43	12	and	and	CCONJ
easat-2753	43	13	manganese	manganese	NOUN
easat-2753	43	14	,	,	PUNCT
easat-2753	43	15	but	but	CCONJ
easat-2753	43	16	a	a	DET
easat-2753	43	17	high	high	ADJ
easat-2753	43	18	concentration	concentration	NOUN
easat-2753	43	19	of	of	ADP
easat-2753	43	20	fluorides	fluoride	NOUN
easat-2753	43	21	.	.	PUNCT
easat-2753	44	1	using	use	VERB
easat-2753	44	2	principal	principal	ADJ
easat-2753	44	3	component	component	NOUN
easat-2753	44	4	analysis	analysis	NOUN
easat-2753	44	5	and	and	CCONJ
easat-2753	44	6	cluster	cluster	NOUN
easat-2753	44	7	analysis	analysis	NOUN
easat-2753	44	8	,	,	PUNCT
easat-2753	44	9	multivariate	multivariate	NOUN
easat-2753	44	10	correlation	correlation	NOUN
easat-2753	44	11	between	between	ADP
easat-2753	44	12	the	the	DET
easat-2753	44	13	studied	study	VERB
easat-2753	44	14	parameters	parameter	NOUN
easat-2753	44	15	was	be	AUX
easat-2753	44	16	determined	determine	VERB
easat-2753	44	17	,	,	PUNCT
easat-2753	44	18	helping	help	VERB
easat-2753	44	19	to	to	PART
easat-2753	44	20	put	put	VERB
easat-2753	44	21	water	water	NOUN
easat-2753	44	22	supply	supply	NOUN
easat-2753	44	23	networks	network	NOUN
easat-2753	44	24	into	into	ADP
easat-2753	44	25	groups	group	NOUN
easat-2753	44	26	according	accord	VERB
easat-2753	44	27	to	to	ADP
easat-2753	44	28	similar	similar	ADJ
easat-2753	44	29	water	water	NOUN
easat-2753	44	30	quality	quality	NOUN
easat-2753	44	31	.	.	PUNCT
easat-2753	45	1	2	2	X
easat-2753	45	2	.	.	X
easat-2753	45	3	the	the	DET
easat-2753	45	4	study	study	NOUN
easat-2753	45	5	problem	problem	NOUN
easat-2753	45	6	this	this	DET
easat-2753	45	7	study	study	NOUN
easat-2753	45	8	using	use	VERB
easat-2753	45	9	cluster	cluster	NOUN
easat-2753	45	10	analysis	analysis	NOUN
easat-2753	45	11	in	in	ADP
easat-2753	45	12	classifying	classify	VERB
easat-2753	45	13	groundwater	groundwater	NOUN
easat-2753	45	14	wells	well	NOUN
easat-2753	45	15	into	into	ADP
easat-2753	45	16	clusters	cluster	NOUN
easat-2753	45	17	and	and	CCONJ
easat-2753	45	18	made	make	VERB
easat-2753	45	19	comparisons	comparison	NOUN
easat-2753	45	20	of	of	ADP
easat-2753	45	21	these	these	DET
easat-2753	45	22	groups	group	NOUN
easat-2753	45	23	with	with	ADP
easat-2753	45	24	international	international	ADJ
easat-2753	45	25	water	water	NOUN
easat-2753	45	26	standards	standard	NOUN
easat-2753	45	27	and	and	CCONJ
easat-2753	45	28	therefore	therefore	ADV
easat-2753	45	29	formulated	formulate	VERB
easat-2753	45	30	the	the	DET
easat-2753	45	31	following	following	ADJ
easat-2753	45	32	objectives	objective	NOUN
easat-2753	45	33	:	:	PUNCT
easat-2753	45	34	1	1	X
easat-2753	45	35	.	.	X
easat-2753	45	36	identifying	identify	VERB
easat-2753	45	37	concepts	concept	NOUN
easat-2753	45	38	of	of	ADP
easat-2753	45	39	cluster	cluster	NOUN
easat-2753	45	40	analysis	analysis	NOUN
easat-2753	45	41	2	2	NUM
easat-2753	45	42	.	.	PUNCT
easat-2753	45	43	identifying	identify	VERB
easat-2753	45	44	the	the	DET
easat-2753	45	45	appropriate	appropriate	ADJ
easat-2753	45	46	cluster	cluster	NOUN
easat-2753	45	47	analysis	analysis	NOUN
easat-2753	45	48	methods	method	NOUN
easat-2753	45	49	and	and	CCONJ
easat-2753	45	50	algorithms	algorithm	NOUN
easat-2753	45	51	and	and	CCONJ
easat-2753	45	52	apply	apply	VERB
easat-2753	45	53	to	to	PART
easat-2753	45	54	study	study	VERB
easat-2753	45	55	homogeneity	homogeneity	NOUN
easat-2753	45	56	of	of	ADP
easat-2753	45	57	groundwater	groundwater	NOUN
easat-2753	45	58	wells	well	NOUN
easat-2753	45	59	in	in	ADP
easat-2753	45	60	rafah	rafah	NOUN
easat-2753	45	61	for	for	ADP
easat-2753	45	62	2020	2020	NUM
easat-2753	45	63	.	.	PUNCT
easat-2753	46	1	3	3	X
easat-2753	46	2	.	.	X
easat-2753	46	3	main	main	ADJ
easat-2753	46	4	findings	finding	NOUN
easat-2753	46	5	and	and	CCONJ
easat-2753	46	6	comparison	comparison	NOUN
easat-2753	46	7	with	with	ADP
easat-2753	46	8	international	international	ADJ
easat-2753	46	9	water	water	NOUN
easat-2753	46	10	standards	standard	NOUN
easat-2753	46	11	are	be	AUX
easat-2753	46	12	extracted	extract	VERB
easat-2753	46	13	.	.	PUNCT
easat-2753	47	1	and	and	CCONJ
easat-2753	47	2	hypothesis	hypothesis	NOUN
easat-2753	47	3	to	to	PART
easat-2753	47	4	be	be	AUX
easat-2753	47	5	1	1	NUM
easat-2753	47	6	.	.	PUNCT
easat-2753	48	1	there	there	PRON
easat-2753	48	2	is	be	VERB
easat-2753	48	3	a	a	DET
easat-2753	48	4	homogeneity	homogeneity	NOUN
easat-2753	48	5	between	between	ADP
easat-2753	48	6	groundwater	groundwater	NOUN
easat-2753	48	7	wells	well	NOUN
easat-2753	48	8	in	in	ADP
easat-2753	48	9	the	the	DET
easat-2753	48	10	same	same	ADJ
easat-2753	48	11	cluster	cluster	NOUN
easat-2753	48	12	.	.	PUNCT
easat-2753	49	1	2	2	X
easat-2753	49	2	.	.	X
easat-2753	49	3	there	there	PRON
easat-2753	49	4	is	be	VERB
easat-2753	49	5	a	a	DET
easat-2753	49	6	homogeneity	homogeneity	NOUN
easat-2753	49	7	between	between	ADP
easat-2753	49	8	groundwater	groundwater	NOUN
easat-2753	49	9	wells	well	NOUN
easat-2753	49	10	in	in	ADP
easat-2753	49	11	rafah	rafah	NOUN
easat-2753	49	12	for	for	ADP
easat-2753	49	13	2020	2020	NUM
easat-2753	49	14	.	.	PUNCT
easat-2753	50	1	3	3	X
easat-2753	50	2	.	.	X
easat-2753	50	3	study	study	NOUN
easat-2753	50	4	methodology	methodology	NOUN
easat-2753	50	5	the	the	DET
easat-2753	50	6	statistical	statistical	ADJ
easat-2753	50	7	method	method	NOUN
easat-2753	50	8	adopted	adopt	VERB
easat-2753	50	9	in	in	ADP
easat-2753	50	10	this	this	DET
easat-2753	50	11	research	research	NOUN
easat-2753	50	12	is	be	AUX
easat-2753	50	13	cluster	cluster	NOUN
easat-2753	50	14	analysis	analysis	NOUN
easat-2753	50	15	which	which	PRON
easat-2753	50	16	aims	aim	VERB
easat-2753	50	17	to	to	PART
easat-2753	50	18	classify	classify	VERB
easat-2753	50	19	the	the	DET
easat-2753	50	20	sample	sample	NOUN
easat-2753	50	21	of	of	ADP
easat-2753	50	22	observations	observation	NOUN
easat-2753	50	23	into	into	ADP
easat-2753	50	24	one	one	NUM
easat-2753	50	25	or	or	CCONJ
easat-2753	50	26	more	more	ADJ
easat-2753	50	27	categories	category	NOUN
easat-2753	50	28	based	base	VERB
easat-2753	50	29	on	on	ADP
easat-2753	50	30	different	different	ADJ
easat-2753	50	31	combinations	combination	NOUN
easat-2753	50	32	of	of	ADP
easat-2753	50	33	variables	variable	NOUN
easat-2753	50	34	.	.	PUNCT
easat-2753	51	1	it	it	PRON
easat-2753	51	2	takes	take	VERB
easat-2753	51	3	a	a	DET
easat-2753	51	4	group	group	NOUN
easat-2753	51	5	of	of	ADP
easat-2753	51	6	cases	case	NOUN
easat-2753	51	7	(	(	PUNCT
easat-2753	51	8	views	view	NOUN
easat-2753	51	9	)	)	PUNCT
easat-2753	51	10	and	and	CCONJ
easat-2753	51	11	divides	divide	VERB
easat-2753	51	12	them	they	PRON
easat-2753	51	13	into	into	ADP
easat-2753	51	14	several	several	ADJ
easat-2753	51	15	groups	group	NOUN
easat-2753	51	16	and	and	CCONJ
easat-2753	51	17	each	each	DET
easat-2753	51	18	group	group	NOUN
easat-2753	51	19	contains	contain	VERB
easat-2753	51	20	observations	observation	NOUN
easat-2753	51	21	that	that	PRON
easat-2753	51	22	share	share	VERB
easat-2753	51	23	or	or	CCONJ
easat-2753	51	24	similar	similar	ADJ
easat-2753	51	25	in	in	ADP
easat-2753	51	26	certain	certain	ADJ
easat-2753	51	27	qualities	quality	NOUN
easat-2753	51	28	or	or	CCONJ
easat-2753	51	29	characteristics	characteristic	NOUN
easat-2753	51	30	.	.	PUNCT
easat-2753	52	1	these	these	DET
easat-2753	52	2	groups	group	NOUN
easat-2753	52	3	are	be	AUX
easat-2753	52	4	called	call	VERB
easat-2753	52	5	clusters	cluster	NOUN
easat-2753	52	6	.	.	PUNCT
easat-2753	53	1	the	the	DET
easat-2753	53	2	purpose	purpose	NOUN
easat-2753	53	3	of	of	ADP
easat-2753	53	4	this	this	DET
easat-2753	53	5	analysis	analysis	NOUN
easat-2753	53	6	is	be	AUX
easat-2753	53	7	usually	usually	ADV
easat-2753	53	8	to	to	PART
easat-2753	53	9	discover	discover	VERB
easat-2753	53	10	a	a	DET
easat-2753	53	11	particular	particular	ADJ
easat-2753	53	12	pattern	pattern	NOUN
easat-2753	53	13	that	that	PRON
easat-2753	53	14	organizes	organize	VERB
easat-2753	53	15	views	view	NOUN
easat-2753	53	16	.	.	PUNCT
easat-2753	54	1	a	a	DET
easat-2753	54	2	person	person	NOUN
easat-2753	54	3	can	can	AUX
easat-2753	54	4	easily	easily	ADV
easat-2753	54	5	predict	predict	VERB
easat-2753	54	6	the	the	DET
easat-2753	54	7	behavior	behavior	NOUN
easat-2753	54	8	,	,	PUNCT
easat-2753	54	9	or	or	CCONJ
easat-2753	54	10	characteristics	characteristic	NOUN
easat-2753	54	11	of	of	ADP
easat-2753	54	12	other	other	ADJ
easat-2753	54	13	individuals	individual	NOUN
easat-2753	54	14	or	or	CCONJ
easat-2753	54	15	objects	object	NOUN
easat-2753	54	16	based	base	VERB
easat-2753	54	17	on	on	ADP
easat-2753	54	18	the	the	DET
easat-2753	54	19	knowledge	knowledge	NOUN
easat-2753	54	20	of	of	ADP
easat-2753	54	21	the	the	DET
easat-2753	54	22	groups	group	NOUN
easat-2753	54	23	to	to	PART
easat-2753	54	24	which	which	PRON
easat-2753	54	25	they	they	PRON
easat-2753	54	26	belong	belong	VERB
easat-2753	54	27	.	.	PUNCT
easat-2753	55	1	4	4	X
easat-2753	55	2	.	.	X
easat-2753	55	3	concepts	concept	NOUN
easat-2753	55	4	of	of	ADP
easat-2753	55	5	cluster	cluster	NOUN
easat-2753	55	6	analysis	analysis	NOUN
easat-2753	55	7	the	the	DET
easat-2753	55	8	concept	concept	NOUN
easat-2753	55	9	of	of	ADP
easat-2753	55	10	cluster	cluster	NOUN
easat-2753	55	11	analysis	analysis	NOUN
easat-2753	55	12	has	have	AUX
easat-2753	55	13	been	be	AUX
easat-2753	55	14	regarded	regard	VERB
easat-2753	55	15	as	as	ADP
easat-2753	55	16	a	a	DET
easat-2753	55	17	multiple	multiple	ADJ
easat-2753	55	18	statistical	statistical	ADJ
easat-2753	55	19	method	method	NOUN
easat-2753	55	20	between	between	ADP
easat-2753	55	21	researchers	researcher	NOUN
easat-2753	55	22	and	and	CCONJ
easat-2753	55	23	statisticians	statistician	NOUN
easat-2753	55	24	.	.	PUNCT
easat-2753	56	1	unlike	unlike	ADP
easat-2753	56	2	other	other	ADJ
easat-2753	56	3	statistical	statistical	ADJ
easat-2753	56	4	methods	method	NOUN
easat-2753	56	5	,	,	PUNCT
easat-2753	56	6	this	this	DET
easat-2753	56	7	kind	kind	NOUN
easat-2753	56	8	of	of	ADP
easat-2753	56	9	cluster	cluster	NOUN
easat-2753	56	10	analysis	analysis	NOUN
easat-2753	56	11	does	do	AUX
easat-2753	56	12	not	not	PART
easat-2753	56	13	create	create	VERB
easat-2753	56	14	its	its	PRON
easat-2753	56	15	own	own	ADJ
easat-2753	56	16	standards	standard	NOUN
easat-2753	56	17	in	in	ADP
easat-2753	56	18	terms	term	NOUN
easat-2753	56	19	of	of	ADP
easat-2753	56	20	the	the	DET
easat-2753	56	21	existence	existence	NOUN
easat-2753	56	22	of	of	ADP
easat-2753	56	23	a	a	DET
easat-2753	56	24	single	single	ADJ
easat-2753	56	25	standard	standard	NOUN
easat-2753	56	26	that	that	PRON
easat-2753	56	27	can	can	AUX
easat-2753	56	28	be	be	AUX
easat-2753	56	29	applied	apply	VERB
easat-2753	56	30	to	to	ADP
easat-2753	56	31	all	all	DET
easat-2753	56	32	data	datum	NOUN
easat-2753	56	33	.	.	PUNCT
easat-2753	57	1	concept	concept	NOUN
easat-2753	57	2	of	of	ADP
easat-2753	57	3	grouping	group	VERB
easat-2753	57	4	in	in	ADP
easat-2753	57	5	cluster	cluster	NOUN
easat-2753	57	6	analysis	analysis	NOUN
easat-2753	57	7	by	by	ADP
easat-2753	57	8	dividing	divide	VERB
easat-2753	57	9	objects	object	NOUN
easat-2753	57	10	into	into	ADP
easat-2753	57	11	groups	group	NOUN
easat-2753	57	12	so	so	SCONJ
easat-2753	57	13	that	that	SCONJ
easat-2753	57	14	objects	object	VERB
easat-2753	57	15	in	in	ADP
easat-2753	57	16	a	a	DET
easat-2753	57	17	whole	whole	NOUN
easat-2753	57	18	and	and	CCONJ
easat-2753	57	19	one	one	NUM
easat-2753	57	20	are	be	AUX
easat-2753	57	21	similar	similar	ADJ
easat-2753	57	22	to	to	ADP
easat-2753	57	23	each	each	DET
easat-2753	57	24	other	other	ADJ
easat-2753	57	25	,	,	PUNCT
easat-2753	57	26	and	and	CCONJ
easat-2753	57	27	as	as	ADV
easat-2753	57	28	disparate	disparate	ADJ
easat-2753	57	29	as	as	ADP
easat-2753	57	30	possible	possible	ADJ
easat-2753	57	31	objects	object	NOUN
easat-2753	57	32	in	in	ADP
easat-2753	57	33	other	other	ADJ
easat-2753	57	34	groups	group	NOUN
easat-2753	57	35	mass	mass	ADJ
easat-2753	57	36	analysis	analysis	NOUN
easat-2753	57	37	is	be	AUX
easat-2753	57	38	a	a	DET
easat-2753	57	39	statistical	statistical	ADJ
easat-2753	57	40	procedure	procedure	NOUN
easat-2753	57	41	for	for	ADP
easat-2753	57	42	forming	form	VERB
easat-2753	57	43	groups	group	NOUN
easat-2753	57	44	of	of	ADP
easat-2753	57	45	similar	similar	ADJ
easat-2753	57	46	objects	object	NOUN
easat-2753	57	47	.	.	PUNCT
easat-2753	58	1	scope	scope	NOUN
easat-2753	58	2	of	of	ADP
easat-2753	58	3	cluster	cluster	NOUN
easat-2753	58	4	analysis	analysis	NOUN
easat-2753	58	5	is	be	AUX
easat-2753	58	6	a	a	DET
easat-2753	58	7	technique	technique	NOUN
easat-2753	58	8	of	of	ADP
easat-2753	58	9	identifying	identify	VERB
easat-2753	58	10	the	the	DET
easat-2753	58	11	unsupervised	unsupervised	ADJ
easat-2753	58	12	pattern	pattern	NOUN
easat-2753	58	13	that	that	PRON
easat-2753	58	14	reveals	reveal	VERB
easat-2753	58	15	the	the	DET
easat-2753	58	16	underlying	underlie	VERB
easat-2753	58	17	structure	structure	NOUN
easat-2753	58	18	or	or	CCONJ
easat-2753	58	19	behavior	behavior	NOUN
easat-2753	58	20	of	of	ADP
easat-2753	58	21	a	a	DET
easat-2753	58	22	data	datum	NOUN
easat-2753	58	23	3544	3544	NUM
easat-2753	58	24	edelweiss	edelweiss	PROPN
easat-2753	58	25	applied	apply	VERB
easat-2753	58	26	science	science	NOUN
easat-2753	58	27	and	and	CCONJ
easat-2753	58	28	technology	technology	NOUN
easat-2753	58	29	issn	issn	PROPN
easat-2753	58	30	:	:	PUNCT
easat-2753	58	31	2576	2576	NUM
easat-2753	58	32	-	-	SYM
easat-2753	58	33	8484	8484	NUM
easat-2753	58	34	vol	vol	NOUN
easat-2753	58	35	.	.	PROPN
easat-2753	58	36	8	8	NUM
easat-2753	58	37	,	,	PUNCT
easat-2753	58	38	no	no	INTJ
easat-2753	58	39	.	.	NOUN
easat-2753	59	1	6	6	NUM
easat-2753	59	2	:	:	SYM
easat-2753	59	3	3542	3542	NUM
easat-2753	59	4	-	-	SYM
easat-2753	59	5	3555	3555	NUM
easat-2753	59	6	,	,	PUNCT
easat-2753	59	7	2024	2024	NUM
easat-2753	59	8	doi	doi	NOUN
easat-2753	59	9	:	:	PUNCT
easat-2753	59	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	59	11	©	©	PROPN
easat-2753	59	12	2024	2024	NUM
easat-2753	59	13	by	by	ADP
easat-2753	59	14	the	the	DET
easat-2753	59	15	authors	author	NOUN
easat-2753	59	16	;	;	PUNCT
easat-2753	59	17	licensee	licensee	PROPN
easat-2753	59	18	learning	learn	VERB
easat-2753	59	19	gate	gate	NOUN
easat-2753	59	20	collection	collection	NOUN
easat-2753	59	21	without	without	ADP
easat-2753	59	22	prior	prior	ADJ
easat-2753	59	23	presumption	presumption	NOUN
easat-2753	59	24	of	of	ADP
easat-2753	59	25	data	datum	NOUN
easat-2753	59	26	,	,	PUNCT
easat-2753	59	27	to	to	PART
easat-2753	59	28	classify	classify	VERB
easat-2753	59	29	system	system	NOUN
easat-2753	59	30	objects	object	NOUN
easat-2753	59	31	into	into	ADP
easat-2753	59	32	categories	category	NOUN
easat-2753	59	33	or	or	CCONJ
easat-2753	59	34	groups	group	NOUN
easat-2753	59	35	based	base	VERB
easat-2753	59	36	on	on	ADP
easat-2753	59	37	proximity	proximity	NOUN
easat-2753	59	38	or	or	CCONJ
easat-2753	59	39	similarity	similarity	NOUN
easat-2753	59	40	.	.	PUNCT
easat-2753	60	1	5	5	X
easat-2753	60	2	.	.	X
easat-2753	60	3	importance	importance	NOUN
easat-2753	60	4	of	of	ADP
easat-2753	60	5	clustering	clustering	ADJ
easat-2753	60	6	cluster	cluster	NOUN
easat-2753	60	7	strategy	strategy	NOUN
easat-2753	60	8	in	in	ADP
easat-2753	60	9	research	research	NOUN
easat-2753	60	10	can	can	AUX
easat-2753	60	11	serve	serve	VERB
easat-2753	60	12	as	as	ADP
easat-2753	60	13	a	a	DET
easat-2753	60	14	direct	direct	ADJ
easat-2753	60	15	method	method	NOUN
easat-2753	60	16	for	for	ADP
easat-2753	60	17	getting	getting	AUX
easat-2753	60	18	sorted	sort	VERB
easat-2753	60	19	out	out	ADP
easat-2753	60	20	a	a	DET
easat-2753	60	21	tremendous	tremendous	ADJ
easat-2753	60	22	information	information	NOUN
easat-2753	60	23	assortment	assortment	NOUN
easat-2753	60	24	with	with	ADP
easat-2753	60	25	the	the	DET
easat-2753	60	26	goal	goal	NOUN
easat-2753	60	27	that	that	PRON
easat-2753	60	28	it	it	PRON
easat-2753	60	29	could	could	AUX
easat-2753	60	30	be	be	AUX
easat-2753	60	31	better	well	ADV
easat-2753	60	32	perceived	perceive	VERB
easat-2753	60	33	,	,	PUNCT
easat-2753	60	34	and	and	CCONJ
easat-2753	60	35	data	datum	NOUN
easat-2753	60	36	acquired	acquire	VERB
easat-2753	60	37	even	even	ADV
easat-2753	60	38	more	more	ADV
easat-2753	60	39	rapidly	rapidly	ADV
easat-2753	60	40	.	.	PUNCT
easat-2753	61	1	in	in	ADP
easat-2753	61	2	addition	addition	NOUN
easat-2753	61	3	,	,	PUNCT
easat-2753	61	4	assuming	assume	VERB
easat-2753	61	5	the	the	DET
easat-2753	61	6	information	information	NOUN
easat-2753	61	7	can	can	AUX
easat-2753	61	8	be	be	AUX
easat-2753	61	9	truly	truly	ADV
easat-2753	61	10	portrayed	portray	VERB
easat-2753	61	11	by	by	ADP
easat-2753	61	12	a	a	DET
easat-2753	61	13	predetermined	predetermine	VERB
easat-2753	61	14	number	number	NOUN
easat-2753	61	15	of	of	ADP
easat-2753	61	16	item	item	NOUN
easat-2753	61	17	gatherings	gathering	NOUN
easat-2753	61	18	,	,	PUNCT
easat-2753	61	19	the	the	DET
easat-2753	61	20	gathering	gathering	NOUN
easat-2753	61	21	marks	mark	NOUN
easat-2753	61	22	can	can	AUX
easat-2753	61	23	give	give	VERB
easat-2753	61	24	a	a	DET
easat-2753	61	25	concise	concise	ADJ
easat-2753	61	26	depiction	depiction	NOUN
easat-2753	61	27	of	of	ADP
easat-2753	61	28	the	the	DET
easat-2753	61	29	information	information	NOUN
easat-2753	61	30	's	's	PART
easat-2753	61	31	examples	example	NOUN
easat-2753	61	32	of	of	ADP
easat-2753	61	33	similitudes	similitude	NOUN
easat-2753	61	34	and	and	CCONJ
easat-2753	61	35	contrasts	contrast	VERB
easat-2753	61	36	.	.	PUNCT
easat-2753	62	1	clustering	cluster	VERB
easat-2753	62	2	strategies	strategy	NOUN
easat-2753	62	3	are	be	AUX
easat-2753	62	4	used	use	VERB
easat-2753	62	5	in	in	ADP
easat-2753	62	6	different	different	ADJ
easat-2753	62	7	fields	field	NOUN
easat-2753	62	8	.	.	PUNCT
easat-2753	63	1	specialists	specialist	NOUN
easat-2753	63	2	might	might	AUX
easat-2753	63	3	be	be	AUX
easat-2753	63	4	focusing	focus	VERB
easat-2753	63	5	on	on	ADP
easat-2753	63	6	strategy	strategy	NOUN
easat-2753	63	7	that	that	PRON
easat-2753	63	8	serves	serve	VERB
easat-2753	63	9	a	a	DET
easat-2753	63	10	more	more	ADV
easat-2753	63	11	crucial	crucial	ADJ
easat-2753	63	12	capacity	capacity	NOUN
easat-2753	63	13	and	and	CCONJ
easat-2753	63	14	gives	give	VERB
easat-2753	63	15	a	a	DET
easat-2753	63	16	valuable	valuable	ADJ
easat-2753	63	17	outline	outline	NOUN
easat-2753	63	18	of	of	ADP
easat-2753	63	19	the	the	DET
easat-2753	63	20	information	information	NOUN
easat-2753	63	21	.	.	PUNCT
easat-2753	64	1	for	for	ADP
easat-2753	64	2	instance	instance	NOUN
easat-2753	64	3	,	,	PUNCT
easat-2753	64	4	medication	medication	NOUN
easat-2753	64	5	is	be	AUX
easat-2753	64	6	an	an	DET
easat-2753	64	7	incredible	incredible	ADJ
easat-2753	64	8	model	model	NOUN
easat-2753	64	9	to	to	PART
easat-2753	64	10	discuss	discuss	VERB
easat-2753	64	11	.	.	PUNCT
easat-2753	65	1	starting	start	VERB
easat-2753	65	2	from	from	ADP
easat-2753	65	3	characterizing	characterize	VERB
easat-2753	65	4	infection	infection	NOUN
easat-2753	65	5	to	to	PART
easat-2753	65	6	comprehend	comprehend	VERB
easat-2753	65	7	and	and	CCONJ
easat-2753	65	8	treat	treat	VERB
easat-2753	65	9	it	it	PRON
easat-2753	65	10	.	.	PUNCT
easat-2753	66	1	everitt	everitt	PROPN
easat-2753	66	2	et	et	PROPN
easat-2753	66	3	al	al	PROPN
easat-2753	66	4	,	,	PUNCT
easat-2753	66	5	(	(	PUNCT
easat-2753	66	6	2011	2011	NUM
easat-2753	66	7	)	)	PUNCT
easat-2753	66	8	.	.	PUNCT
easat-2753	67	1	in	in	ADP
easat-2753	67	2	industrial	industrial	ADJ
easat-2753	67	3	research	research	NOUN
easat-2753	67	4	,	,	PUNCT
easat-2753	67	5	the	the	DET
easat-2753	67	6	primary	primary	ADJ
easat-2753	67	7	function	function	NOUN
easat-2753	67	8	of	of	ADP
easat-2753	67	9	clustering	clustering	NOUN
easat-2753	67	10	here	here	ADV
easat-2753	67	11	is	be	AUX
easat-2753	67	12	to	to	PART
easat-2753	67	13	perform	perform	VERB
easat-2753	67	14	segmentation	segmentation	NOUN
easat-2753	67	15	,	,	PUNCT
easat-2753	67	16	whether	whether	SCONJ
easat-2753	67	17	it	it	PRON
easat-2753	67	18	is	be	AUX
easat-2753	67	19	store	store	NOUN
easat-2753	67	20	,	,	PUNCT
easat-2753	67	21	product	product	NOUN
easat-2753	67	22	,	,	PUNCT
easat-2753	67	23	or	or	CCONJ
easat-2753	67	24	client	client	NOUN
easat-2753	67	25	.	.	PUNCT
easat-2753	68	1	clients	client	NOUN
easat-2753	68	2	and	and	CCONJ
easat-2753	68	3	products	product	NOUN
easat-2753	68	4	can	can	AUX
easat-2753	68	5	be	be	AUX
easat-2753	68	6	clustered	cluster	VERB
easat-2753	68	7	into	into	ADP
easat-2753	68	8	hierarchical	hierarchical	ADJ
easat-2753	68	9	groups	group	NOUN
easat-2753	68	10	based	base	VERB
easat-2753	68	11	on	on	ADP
easat-2753	68	12	different	different	ADJ
easat-2753	68	13	attributes	attribute	NOUN
easat-2753	68	14	is	be	AUX
easat-2753	68	15	another	another	DET
easat-2753	68	16	example	example	NOUN
easat-2753	68	17	.	.	PUNCT
easat-2753	69	1	another	another	DET
easat-2753	69	2	usage	usage	NOUN
easat-2753	69	3	of	of	ADP
easat-2753	69	4	clustering	clustering	ADJ
easat-2753	69	5	strategy	strategy	NOUN
easat-2753	69	6	is	be	AUX
easat-2753	69	7	seen	see	VERB
easat-2753	69	8	for	for	ADP
easat-2753	69	9	detecting	detect	VERB
easat-2753	69	10	outliers	outlier	NOUN
easat-2753	69	11	like	like	ADP
easat-2753	69	12	fraud	fraud	NOUN
easat-2753	69	13	transactions	transaction	NOUN
easat-2753	69	14	.	.	PUNCT
easat-2753	70	1	here	here	ADV
easat-2753	70	2	,	,	PUNCT
easat-2753	70	3	a	a	DET
easat-2753	70	4	cluster	cluster	NOUN
easat-2753	70	5	with	with	ADP
easat-2753	70	6	all	all	DET
easat-2753	70	7	the	the	DET
easat-2753	70	8	good	good	ADJ
easat-2753	70	9	transactions	transaction	NOUN
easat-2753	70	10	is	be	AUX
easat-2753	70	11	detected	detect	VERB
easat-2753	70	12	and	and	CCONJ
easat-2753	70	13	kept	keep	VERB
easat-2753	70	14	as	as	ADP
easat-2753	70	15	a	a	DET
easat-2753	70	16	sample	sample	NOUN
easat-2753	70	17	.	.	PUNCT
easat-2753	71	1	this	this	PRON
easat-2753	71	2	is	be	AUX
easat-2753	71	3	known	know	VERB
easat-2753	71	4	as	as	ADP
easat-2753	71	5	a	a	DET
easat-2753	71	6	normal	normal	ADJ
easat-2753	71	7	cluster	cluster	NOUN
easat-2753	71	8	.	.	PUNCT
easat-2753	72	1	whenever	whenever	SCONJ
easat-2753	72	2	something	something	PRON
easat-2753	72	3	is	be	AUX
easat-2753	72	4	out	out	ADP
easat-2753	72	5	of	of	ADP
easat-2753	72	6	the	the	DET
easat-2753	72	7	line	line	NOUN
easat-2753	72	8	from	from	ADP
easat-2753	72	9	this	this	DET
easat-2753	72	10	cluster	cluster	NOUN
easat-2753	72	11	,	,	PUNCT
easat-2753	72	12	it	it	PRON
easat-2753	72	13	comes	come	VERB
easat-2753	72	14	under	under	ADP
easat-2753	72	15	the	the	DET
easat-2753	72	16	suspect	suspect	ADJ
easat-2753	72	17	section	section	NOUN
easat-2753	72	18	.	.	PUNCT
easat-2753	73	1	this	this	DET
easat-2753	73	2	strategy	strategy	NOUN
easat-2753	73	3	is	be	AUX
easat-2753	73	4	useful	useful	ADJ
easat-2753	73	5	in	in	ADP
easat-2753	73	6	detecting	detect	VERB
easat-2753	73	7	abnormal	abnormal	ADJ
easat-2753	73	8	cells	cell	NOUN
easat-2753	73	9	in	in	ADP
easat-2753	73	10	the	the	DET
easat-2753	73	11	body	body	NOUN
easat-2753	73	12	.	.	PUNCT
easat-2753	74	1	clustering	clustering	NOUN
easat-2753	74	2	is	be	AUX
easat-2753	74	3	widely	widely	ADV
easat-2753	74	4	used	use	VERB
easat-2753	74	5	to	to	PART
easat-2753	74	6	break	break	VERB
easat-2753	74	7	down	down	ADP
easat-2753	74	8	large	large	ADJ
easat-2753	74	9	datasets	dataset	NOUN
easat-2753	74	10	to	to	PART
easat-2753	74	11	create	create	VERB
easat-2753	74	12	smaller	small	ADJ
easat-2753	74	13	data	datum	NOUN
easat-2753	74	14	groups	group	NOUN
easat-2753	74	15	,	,	PUNCT
easat-2753	74	16	which	which	PRON
easat-2753	74	17	enhances	enhance	VERB
easat-2753	74	18	the	the	DET
easat-2753	74	19	efficiency	efficiency	NOUN
easat-2753	74	20	of	of	ADP
easat-2753	74	21	assessing	assess	VERB
easat-2753	74	22	the	the	DET
easat-2753	74	23	data	datum	NOUN
easat-2753	74	24	.	.	PUNCT
easat-2753	75	1	importance	importance	NOUN
easat-2753	75	2	of	of	ADP
easat-2753	75	3	clustering	clustering	NOUN
easat-2753	75	4	can	can	AUX
easat-2753	75	5	be	be	AUX
easat-2753	75	6	summarized	summarize	VERB
easat-2753	75	7	in	in	ADP
easat-2753	75	8	the	the	DET
easat-2753	75	9	following	following	ADJ
easat-2753	75	10	points	point	NOUN
easat-2753	75	11	:	:	PUNCT
easat-2753	75	12	1	1	X
easat-2753	75	13	.	.	X
easat-2753	75	14	clustering	clustering	NOUN
easat-2753	75	15	helps	help	VERB
easat-2753	75	16	in	in	ADP
easat-2753	75	17	restarting	restart	VERB
easat-2753	75	18	the	the	DET
easat-2753	75	19	local	local	ADJ
easat-2753	75	20	search	search	NOUN
easat-2753	75	21	procedure	procedure	NOUN
easat-2753	75	22	and	and	CCONJ
easat-2753	75	23	remove	remove	VERB
easat-2753	75	24	the	the	DET
easat-2753	75	25	inefficiency	inefficiency	NOUN
easat-2753	75	26	.	.	PUNCT
easat-2753	76	1	2	2	X
easat-2753	76	2	.	.	X
easat-2753	76	3	clustering	clustering	NOUN
easat-2753	76	4	helps	help	VERB
easat-2753	76	5	to	to	PART
easat-2753	76	6	determine	determine	VERB
easat-2753	76	7	the	the	DET
easat-2753	76	8	internal	internal	ADJ
easat-2753	76	9	structure	structure	NOUN
easat-2753	76	10	of	of	ADP
easat-2753	76	11	the	the	DET
easat-2753	76	12	data	datum	NOUN
easat-2753	76	13	.	.	PUNCT
easat-2753	77	1	3	3	X
easat-2753	77	2	.	.	X
easat-2753	77	3	clustering	clustering	NOUN
easat-2753	77	4	has	have	AUX
easat-2753	77	5	been	be	AUX
easat-2753	77	6	used	use	VERB
easat-2753	77	7	for	for	ADP
easat-2753	77	8	model	model	NOUN
easat-2753	77	9	analysis	analysis	NOUN
easat-2753	77	10	,	,	PUNCT
easat-2753	77	11	vector	vector	NOUN
easat-2753	77	12	region	region	NOUN
easat-2753	77	13	of	of	ADP
easat-2753	77	14	attraction	attraction	NOUN
easat-2753	77	15	.	.	PUNCT
easat-2753	78	1	4	4	X
easat-2753	78	2	.	.	X
easat-2753	78	3	clustering	clustering	NOUN
easat-2753	78	4	helps	help	VERB
easat-2753	78	5	in	in	ADP
easat-2753	78	6	understanding	understand	VERB
easat-2753	78	7	the	the	DET
easat-2753	78	8	natural	natural	ADJ
easat-2753	78	9	grouping	grouping	NOUN
easat-2753	78	10	in	in	ADP
easat-2753	78	11	a	a	DET
easat-2753	78	12	dataset	dataset	NOUN
easat-2753	78	13	in	in	ADP
easat-2753	78	14	order	order	NOUN
easat-2753	78	15	to	to	PART
easat-2753	78	16	make	make	VERB
easat-2753	78	17	sense	sense	NOUN
easat-2753	78	18	to	to	PART
easat-2753	78	19	partition	partition	VERB
easat-2753	78	20	the	the	DET
easat-2753	78	21	data	datum	NOUN
easat-2753	78	22	into	into	ADP
easat-2753	78	23	some	some	DET
easat-2753	78	24	group	group	NOUN
easat-2753	78	25	of	of	ADP
easat-2753	78	26	logical	logical	ADJ
easat-2753	78	27	groupings	grouping	NOUN
easat-2753	78	28	.	.	PUNCT
easat-2753	79	1	5	5	X
easat-2753	79	2	.	.	X
easat-2753	79	3	clustering	cluster	VERB
easat-2753	79	4	quality	quality	NOUN
easat-2753	79	5	depends	depend	VERB
easat-2753	79	6	on	on	ADP
easat-2753	79	7	the	the	DET
easat-2753	79	8	methods	method	NOUN
easat-2753	79	9	and	and	CCONJ
easat-2753	79	10	the	the	DET
easat-2753	79	11	identification	identification	NOUN
easat-2753	79	12	of	of	ADP
easat-2753	79	13	hidden	hide	VERB
easat-2753	79	14	patterns	pattern	NOUN
easat-2753	79	15	.	.	PUNCT
easat-2753	80	1	6	6	X
easat-2753	80	2	.	.	X
easat-2753	80	3	clustering	clustering	NOUN
easat-2753	80	4	plays	play	VERB
easat-2753	80	5	a	a	DET
easat-2753	80	6	wide	wide	ADJ
easat-2753	80	7	role	role	NOUN
easat-2753	80	8	in	in	ADP
easat-2753	80	9	applications	application	NOUN
easat-2753	80	10	like	like	ADP
easat-2753	80	11	marketing	marketing	NOUN
easat-2753	80	12	,	,	PUNCT
easat-2753	80	13	economics	economic	NOUN
easat-2753	80	14	,	,	PUNCT
easat-2753	80	15	weblogs	weblog	VERB
easat-2753	80	16	to	to	PART
easat-2753	80	17	identify	identify	VERB
easat-2753	80	18	similarity	similarity	NOUN
easat-2753	80	19	measures	measure	NOUN
easat-2753	80	20	,	,	PUNCT
easat-2753	80	21	image	image	NOUN
easat-2753	80	22	processing	processing	NOUN
easat-2753	80	23	,	,	PUNCT
easat-2753	80	24	and	and	CCONJ
easat-2753	80	25	spatial	spatial	ADJ
easat-2753	80	26	research	research	NOUN
easat-2753	80	27	.	.	PUNCT
easat-2753	81	1	7	7	X
easat-2753	81	2	.	.	X
easat-2753	81	3	clustering	clustering	NOUN
easat-2753	81	4	is	be	AUX
easat-2753	81	5	used	use	VERB
easat-2753	81	6	in	in	ADP
easat-2753	81	7	outlier	outlier	ADJ
easat-2753	81	8	detections	detection	NOUN
easat-2753	81	9	to	to	PART
easat-2753	81	10	detect	detect	VERB
easat-2753	81	11	credit	credit	NOUN
easat-2753	81	12	card	card	NOUN
easat-2753	81	13	fraudulence	fraudulence	NOUN
easat-2753	81	14	6	6	NUM
easat-2753	81	15	.	.	PUNCT
easat-2753	81	16	clustering	cluster	VERB
easat-2753	81	17	methods	method	NOUN
easat-2753	81	18	,	,	PUNCT
easat-2753	81	19	hierarchical	hierarchical	ADJ
easat-2753	81	20	clustering	clustering	ADJ
easat-2753	81	21	hierarchical	hierarchical	ADJ
easat-2753	81	22	methods	method	NOUN
easat-2753	81	23	and	and	CCONJ
easat-2753	81	24	other	other	ADJ
easat-2753	81	25	clustering	clustering	ADJ
easat-2753	81	26	algorithms	algorithm	NOUN
easat-2753	81	27	represent	represent	VERB
easat-2753	81	28	an	an	DET
easat-2753	81	29	attempt	attempt	NOUN
easat-2753	81	30	to	to	PART
easat-2753	81	31	find	find	VERB
easat-2753	81	32	good	good	ADJ
easat-2753	81	33	clusters	cluster	NOUN
easat-2753	81	34	in	in	ADP
easat-2753	81	35	the	the	DET
easat-2753	81	36	data	datum	NOUN
easat-2753	81	37	using	use	VERB
easat-2753	81	38	a	a	DET
easat-2753	81	39	computationally	computationally	ADV
easat-2753	81	40	efficient	efficient	ADJ
easat-2753	81	41	technique	technique	NOUN
easat-2753	81	42	.	.	PUNCT
easat-2753	82	1	it	it	PRON
easat-2753	82	2	is	be	AUX
easat-2753	82	3	not	not	PART
easat-2753	82	4	generally	generally	ADV
easat-2753	82	5	feasible	feasible	ADJ
easat-2753	82	6	to	to	PART
easat-2753	82	7	examine	examine	VERB
easat-2753	82	8	all	all	DET
easat-2753	82	9	possible	possible	ADJ
easat-2753	82	10	clustering	clustering	ADJ
easat-2753	82	11	possibilities	possibility	NOUN
easat-2753	82	12	for	for	ADP
easat-2753	82	13	a	a	DET
easat-2753	82	14	data	data	NOUN
easat-2753	82	15	set	set	VERB
easat-2753	82	16	,	,	PUNCT
easat-2753	82	17	especially	especially	ADV
easat-2753	82	18	a	a	DET
easat-2753	82	19	large	large	ADJ
easat-2753	82	20	one	one	NUM
easat-2753	82	21	.	.	PUNCT
easat-2753	83	1	in	in	ADP
easat-2753	83	2	each	each	DET
easat-2753	83	3	step	step	NOUN
easat-2753	83	4	of	of	ADP
easat-2753	83	5	the	the	DET
easat-2753	83	6	hierarchical	hierarchical	ADJ
easat-2753	83	7	approach	approach	NOUN
easat-2753	83	8	:	:	PUNCT
easat-2753	83	9	two	two	NUM
easat-2753	83	10	elements	element	NOUN
easat-2753	83	11	are	be	AUX
easat-2753	83	12	merged	merge	VERB
easat-2753	83	13	into	into	ADP
easat-2753	83	14	a	a	DET
easat-2753	83	15	new	new	ADJ
easat-2753	83	16	set	set	NOUN
easat-2753	83	17	,	,	PUNCT
easat-2753	83	18	so	so	SCONJ
easat-2753	83	19	they	they	PRON
easat-2753	83	20	also	also	ADV
easat-2753	83	21	can	can	AUX
easat-2753	83	22	not	not	PART
easat-2753	83	23	be	be	AUX
easat-2753	83	24	undone	undo	VERB
easat-2753	83	25	from	from	ADP
easat-2753	83	26	the	the	DET
easat-2753	83	27	merge	merge	NOUN
easat-2753	83	28	step	step	NOUN
easat-2753	83	29	,	,	PUNCT
easat-2753	83	30	can	can	AUX
easat-2753	83	31	not	not	PART
easat-2753	83	32	be	be	AUX
easat-2753	83	33	separated	separate	VERB
easat-2753	83	34	once	once	ADV
easat-2753	83	35	during	during	ADP
easat-2753	83	36	the	the	DET
easat-2753	83	37	procedure	procedure	NOUN
easat-2753	83	38	,	,	PUNCT
easat-2753	83	39	and	and	CCONJ
easat-2753	83	40	items	item	NOUN
easat-2753	83	41	can	can	AUX
easat-2753	83	42	not	not	PART
easat-2753	83	43	be	be	AUX
easat-2753	83	44	moved	move	VERB
easat-2753	83	45	to	to	ADP
easat-2753	83	46	other	other	ADJ
easat-2753	83	47	groups	group	NOUN
easat-2753	83	48	,	,	PUNCT
easat-2753	83	49	and	and	CCONJ
easat-2753	83	50	if	if	SCONJ
easat-2753	83	51	any	any	DET
easat-2753	83	52	errors	error	NOUN
easat-2753	83	53	are	be	AUX
easat-2753	83	54	found	find	VERB
easat-2753	83	55	they	they	PRON
easat-2753	83	56	can	can	AUX
easat-2753	83	57	not	not	PART
easat-2753	83	58	be	be	AUX
easat-2753	83	59	corrected	correct	VERB
easat-2753	83	60	.	.	PUNCT
easat-2753	84	1	rough	rough	ADJ
easat-2753	84	2	hierarchical	hierarchical	ADJ
easat-2753	84	3	procedure	procedure	NOUN
easat-2753	84	4	combines	combine	VERB
easat-2753	84	5	the	the	DET
easat-2753	84	6	two	two	NUM
easat-2753	84	7	closest	close	ADJ
easat-2753	84	8	groups	group	NOUN
easat-2753	84	9	at	at	ADP
easat-2753	84	10	each	each	DET
easat-2753	84	11	step	step	NOUN
easat-2753	84	12	and	and	CCONJ
easat-2753	84	13	the	the	DET
easat-2753	84	14	ways	way	NOUN
easat-2753	84	15	of	of	ADP
easat-2753	84	16	measuring	measure	VERB
easat-2753	84	17	the	the	DET
easat-2753	84	18	similarity	similarity	NOUN
easat-2753	84	19	or	or	CCONJ
easat-2753	84	20	difference	difference	NOUN
easat-2753	84	21	between	between	ADP
easat-2753	84	22	the	the	DET
easat-2753	84	23	two	two	NUM
easat-2753	84	24	groups	group	NOUN
easat-2753	84	25	should	should	AUX
easat-2753	84	26	be	be	AUX
easat-2753	84	27	considered	consider	VERB
easat-2753	84	28	.	.	PUNCT
easat-2753	85	1	thus	thus	ADV
easat-2753	85	2	,	,	PUNCT
easat-2753	85	3	there	there	PRON
easat-2753	85	4	are	be	VERB
easat-2753	85	5	many	many	ADJ
easat-2753	85	6	different	different	ADJ
easat-2753	85	7	methods	method	NOUN
easat-2753	85	8	of	of	ADP
easat-2753	85	9	measuring	measure	VERB
easat-2753	85	10	distance	distance	NOUN
easat-2753	85	11	between	between	ADP
easat-2753	85	12	groups	group	NOUN
easat-2753	85	13	that	that	PRON
easat-2753	85	14	contribute	contribute	VERB
easat-2753	85	15	to	to	ADP
easat-2753	85	16	the	the	DET
easat-2753	85	17	production	production	NOUN
easat-2753	85	18	of	of	ADP
easat-2753	85	19	new	new	ADJ
easat-2753	85	20	methods	method	NOUN
easat-2753	85	21	.	.	PUNCT
easat-2753	86	1	(	(	PUNCT
easat-2753	86	2	rencher	rencher	ADJ
easat-2753	86	3	,	,	PUNCT
easat-2753	86	4	2002	2002	NUM
easat-2753	86	5	)	)	PUNCT
easat-2753	86	6	.	.	PUNCT
easat-2753	87	1	there	there	PRON
easat-2753	87	2	are	be	VERB
easat-2753	87	3	two	two	NUM
easat-2753	87	4	types	type	NOUN
easat-2753	87	5	of	of	ADP
easat-2753	87	6	hierarchical	hierarchical	ADJ
easat-2753	87	7	clustering	clustering	ADJ
easat-2753	87	8	methods	method	NOUN
easat-2753	87	9	:	:	PUNCT
easat-2753	87	10	agglomerative	agglomerative	ADJ
easat-2753	87	11	and	and	CCONJ
easat-2753	87	12	divisive	divisive	ADJ
easat-2753	87	13	.	.	PUNCT
easat-2753	88	1	the	the	DET
easat-2753	88	2	agglomerative	agglomerative	ADJ
easat-2753	88	3	clustering	clustering	ADJ
easat-2753	88	4	algorithms	algorithm	NOUN
easat-2753	88	5	,	,	PUNCT
easat-2753	88	6	often	often	ADV
easat-2753	88	7	called	call	VERB
easat-2753	88	8	“	"	PUNCT
easat-2753	88	9	bottom	bottom	ADJ
easat-2753	88	10	-	-	PUNCT
easat-2753	88	11	up	up	ADP
easat-2753	88	12	”	"	PUNCT
easat-2753	88	13	methods	method	NOUN
easat-2753	88	14	,	,	PUNCT
easat-2753	88	15	which	which	PRON
easat-2753	88	16	start	start	VERB
easat-2753	88	17	with	with	ADP
easat-2753	88	18	each	each	DET
easat-2753	88	19	item	item	NOUN
easat-2753	88	20	being	be	AUX
easat-2753	88	21	its	its	PRON
easat-2753	88	22	own	own	ADJ
easat-2753	88	23	cluster	cluster	NOUN
easat-2753	88	24	;	;	PUNCT
easat-2753	88	25	then	then	ADV
easat-2753	88	26	,	,	PUNCT
easat-2753	88	27	clusters	cluster	NOUN
easat-2753	88	28	are	be	AUX
easat-2753	88	29	successively	successively	ADV
easat-2753	88	30	merged	merge	VERB
easat-2753	88	31	,	,	PUNCT
easat-2753	88	32	until	until	SCONJ
easat-2753	88	33	only	only	ADV
easat-2753	88	34	a	a	DET
easat-2753	88	35	single	single	ADJ
easat-2753	88	36	cluster	cluster	NOUN
easat-2753	88	37	remains	remain	VERB
easat-2753	88	38	.	.	PUNCT
easat-2753	89	1	while	while	SCONJ
easat-2753	89	2	,	,	PUNCT
easat-2753	89	3	the	the	DET
easat-2753	89	4	divisive	divisive	ADJ
easat-2753	89	5	clustering	clustering	ADJ
easat-2753	89	6	algorithms	algorithm	NOUN
easat-2753	89	7	,	,	PUNCT
easat-2753	89	8	often	often	ADV
easat-2753	89	9	called	call	VERB
easat-2753	89	10	“	"	PUNCT
easat-2753	89	11	top	top	ADJ
easat-2753	89	12	-	-	PUNCT
easat-2753	89	13	down	down	NOUN
easat-2753	89	14	”	"	PUNCT
easat-2753	89	15	methods	method	NOUN
easat-2753	89	16	,	,	PUNCT
easat-2753	89	17	do	do	VERB
easat-2753	89	18	the	the	DET
easat-2753	89	19	opposite	opposite	NOUN
easat-2753	89	20	:	:	PUNCT
easat-2753	89	21	it	it	PRON
easat-2753	89	22	starts	start	VERB
easat-2753	89	23	with	with	ADP
easat-2753	89	24	all	all	DET
easat-2753	89	25	items	item	NOUN
easat-2753	89	26	as	as	ADP
easat-2753	89	27	members	member	NOUN
easat-2753	89	28	of	of	ADP
easat-2753	89	29	a	a	DET
easat-2753	89	30	single	single	ADJ
easat-2753	89	31	cluster	cluster	NOUN
easat-2753	89	32	;	;	PUNCT
easat-2753	89	33	then	then	ADV
easat-2753	89	34	,	,	PUNCT
easat-2753	89	35	that	that	DET
easat-2753	89	36	cluster	cluster	NOUN
easat-2753	89	37	is	be	AUX
easat-2753	89	38	split	split	VERB
easat-2753	89	39	into	into	ADP
easat-2753	89	40	two	two	NUM
easat-2753	89	41	separate	separate	ADJ
easat-2753	89	42	clusters	cluster	NOUN
easat-2753	89	43	,	,	PUNCT
easat-2753	89	44	and	and	CCONJ
easat-2753	89	45	so	so	ADV
easat-2753	89	46	on	on	ADV
easat-2753	89	47	for	for	ADP
easat-2753	89	48	every	every	DET
easat-2753	89	49	successive	successive	ADJ
easat-2753	89	50	cluster	cluster	NOUN
easat-2753	89	51	,	,	PUNCT
easat-2753	89	52	until	until	SCONJ
easat-2753	89	53	each	each	DET
easat-2753	89	54	item	item	NOUN
easat-2753	89	55	is	be	AUX
easat-2753	89	56	in	in	ADP
easat-2753	89	57	its	its	PRON
easat-2753	89	58	own	own	ADJ
easat-2753	89	59	cluster	cluster	NOUN
easat-2753	89	60	.	.	PUNCT
easat-2753	90	1	in	in	ADP
easat-2753	90	2	more	more	ADJ
easat-2753	90	3	details	detail	NOUN
easat-2753	90	4	.	.	PUNCT
easat-2753	91	1	6.1	6.1	NUM
easat-2753	91	2	.	.	PUNCT
easat-2753	91	3	agglomerative	agglomerative	ADJ
easat-2753	91	4	approaches	approach	NOUN
easat-2753	91	5	to	to	PART
easat-2753	91	6	generating	generate	VERB
easat-2753	91	7	a	a	DET
easat-2753	91	8	hierarchical	hierarchical	ADJ
easat-2753	91	9	clustering	clustering	ADJ
easat-2753	91	10	3545	3545	NUM
easat-2753	91	11	edelweiss	edelweiss	PROPN
easat-2753	91	12	applied	apply	VERB
easat-2753	91	13	science	science	NOUN
easat-2753	91	14	and	and	CCONJ
easat-2753	91	15	technology	technology	NOUN
easat-2753	91	16	issn	issn	PROPN
easat-2753	91	17	:	:	PUNCT
easat-2753	91	18	2576	2576	NUM
easat-2753	91	19	-	-	SYM
easat-2753	91	20	8484	8484	NUM
easat-2753	91	21	vol	vol	NOUN
easat-2753	91	22	.	.	PROPN
easat-2753	91	23	8	8	NUM
easat-2753	91	24	,	,	PUNCT
easat-2753	91	25	no	no	INTJ
easat-2753	91	26	.	.	NOUN
easat-2753	92	1	6	6	NUM
easat-2753	92	2	:	:	SYM
easat-2753	92	3	3542	3542	NUM
easat-2753	92	4	-	-	SYM
easat-2753	92	5	3555	3555	NUM
easat-2753	92	6	,	,	PUNCT
easat-2753	92	7	2024	2024	NUM
easat-2753	92	8	doi	doi	NOUN
easat-2753	92	9	:	:	PUNCT
easat-2753	92	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	92	11	©	©	PROPN
easat-2753	92	12	2024	2024	NUM
easat-2753	92	13	by	by	ADP
easat-2753	92	14	the	the	DET
easat-2753	92	15	authors	author	NOUN
easat-2753	92	16	;	;	PUNCT
easat-2753	92	17	licensee	licensee	PROPN
easat-2753	92	18	learning	learning	NOUN
easat-2753	92	19	gate	gate	VERB
easat-2753	92	20	the	the	DET
easat-2753	92	21	most	most	ADV
easat-2753	92	22	popular	popular	ADJ
easat-2753	92	23	agglomerative	agglomerative	ADJ
easat-2753	92	24	approaches	approach	NOUN
easat-2753	92	25	of	of	ADP
easat-2753	92	26	clustering	clustering	NOUN
easat-2753	92	27	are	be	AUX
easat-2753	92	28	single	single	ADJ
easat-2753	92	29	-	-	PUNCT
easat-2753	92	30	linkage	linkage	NOUN
easat-2753	92	31	(	(	PUNCT
easat-2753	92	32	or	or	CCONJ
easat-2753	92	33	nearest	nearest	ADJ
easat-2753	92	34	-	-	PUNCT
easat-2753	92	35	neighbor	neighbor	NOUN
easat-2753	92	36	)	)	PUNCT
easat-2753	92	37	,	,	PUNCT
easat-2753	92	38	complete	complete	ADJ
easat-2753	92	39	-	-	PUNCT
easat-2753	92	40	linkage	linkage	NOUN
easat-2753	92	41	(	(	PUNCT
easat-2753	92	42	or	or	CCONJ
easat-2753	92	43	farthest	farth	ADJ
easat-2753	92	44	-	-	PUNCT
easat-2753	92	45	neighbor	neighbor	NOUN
easat-2753	92	46	)	)	PUNCT
easat-2753	92	47	and	and	CCONJ
easat-2753	92	48	the	the	DET
easat-2753	92	49	cooperation	cooperation	NOUN
easat-2753	92	50	between	between	ADP
easat-2753	92	51	these	these	DET
easat-2753	92	52	two	two	NUM
easat-2753	92	53	approaches	approach	NOUN
easat-2753	92	54	,	,	PUNCT
easat-2753	92	55	known	know	VERB
easat-2753	92	56	as	as	ADP
easat-2753	92	57	the	the	DET
easat-2753	92	58	average	average	ADJ
easat-2753	92	59	-	-	PUNCT
easat-2753	92	60	linkage	linkage	NOUN
easat-2753	92	61	approach	approach	NOUN
easat-2753	92	62	.	.	PUNCT
easat-2753	93	1	each	each	PRON
easat-2753	93	2	of	of	ADP
easat-2753	93	3	these	these	DET
easat-2753	93	4	clustering	clustering	ADJ
easat-2753	93	5	methods	method	NOUN
easat-2753	93	6	is	be	AUX
easat-2753	93	7	defined	define	VERB
easat-2753	93	8	by	by	ADP
easat-2753	93	9	the	the	DET
easat-2753	93	10	way	way	NOUN
easat-2753	93	11	in	in	ADP
easat-2753	93	12	which	which	PRON
easat-2753	93	13	two	two	NUM
easat-2753	93	14	clusters	cluster	NOUN
easat-2753	93	15	(	(	PUNCT
easat-2753	93	16	which	which	PRON
easat-2753	93	17	may	may	AUX
easat-2753	93	18	be	be	AUX
easat-2753	93	19	single	single	ADJ
easat-2753	93	20	items	item	NOUN
easat-2753	93	21	)	)	PUNCT
easat-2753	93	22	are	be	AUX
easat-2753	93	23	combined	combine	VERB
easat-2753	93	24	or	or	CCONJ
easat-2753	93	25	(	(	PUNCT
easat-2753	93	26	joined	join	VERB
easat-2753	93	27	)	)	PUNCT
easat-2753	93	28	to	to	PART
easat-2753	93	29	form	form	VERB
easat-2753	93	30	a	a	DET
easat-2753	93	31	new	new	ADJ
easat-2753	93	32	larger	large	ADJ
easat-2753	93	33	cluster	cluster	NOUN
easat-2753	93	34	.	.	PUNCT
easat-2753	94	1	the	the	DET
easat-2753	94	2	single	single	ADJ
easat-2753	94	3	-	-	PUNCT
easat-2753	94	4	linkage	linkage	NOUN
easat-2753	94	5	approach	approach	NOUN
easat-2753	94	6	often	often	ADV
easat-2753	94	7	leads	lead	VERB
easat-2753	94	8	to	to	ADP
easat-2753	94	9	long	long	ADJ
easat-2753	94	10	“	"	PUNCT
easat-2753	94	11	chains	chain	NOUN
easat-2753	94	12	”	"	PUNCT
easat-2753	94	13	of	of	ADP
easat-2753	94	14	clusters	cluster	NOUN
easat-2753	94	15	which	which	PRON
easat-2753	94	16	are	be	AUX
easat-2753	94	17	joined	join	VERB
easat-2753	94	18	by	by	ADP
easat-2753	94	19	singleton	singleton	PROPN
easat-2753	94	20	points	point	NOUN
easat-2753	94	21	near	near	ADP
easat-2753	94	22	each	each	DET
easat-2753	94	23	other	other	ADJ
easat-2753	94	24	and	and	CCONJ
easat-2753	94	25	a	a	DET
easat-2753	94	26	result	result	NOUN
easat-2753	94	27	that	that	PRON
easat-2753	94	28	does	do	AUX
easat-2753	94	29	not	not	PART
easat-2753	94	30	have	have	VERB
easat-2753	94	31	much	much	ADJ
easat-2753	94	32	appeal	appeal	NOUN
easat-2753	94	33	in	in	ADP
easat-2753	94	34	practice	practice	NOUN
easat-2753	94	35	.	.	PUNCT
easat-2753	95	1	whereas	whereas	SCONJ
easat-2753	95	2	the	the	DET
easat-2753	95	3	complete	complete	ADJ
easat-2753	95	4	-	-	PUNCT
easat-2753	95	5	linkage	linkage	NOUN
easat-2753	95	6	approach	approach	NOUN
easat-2753	95	7	tends	tend	VERB
easat-2753	95	8	to	to	PART
easat-2753	95	9	produce	produce	VERB
easat-2753	95	10	many	many	ADJ
easat-2753	95	11	small	small	ADJ
easat-2753	95	12	,	,	PUNCT
easat-2753	95	13	compact	compact	ADJ
easat-2753	95	14	clusters	cluster	NOUN
easat-2753	95	15	.	.	PUNCT
easat-2753	96	1	the	the	DET
easat-2753	96	2	average	average	ADJ
easat-2753	96	3	-	-	PUNCT
easat-2753	96	4	linkage	linkage	NOUN
easat-2753	96	5	approach	approach	NOUN
easat-2753	96	6	is	be	AUX
easat-2753	96	7	dependent	dependent	ADJ
easat-2753	96	8	upon	upon	SCONJ
easat-2753	96	9	the	the	DET
easat-2753	96	10	size	size	NOUN
easat-2753	96	11	of	of	ADP
easat-2753	96	12	the	the	DET
easat-2753	96	13	clusters	cluster	NOUN
easat-2753	96	14	,	,	PUNCT
easat-2753	96	15	but	but	CCONJ
easat-2753	96	16	single	single	ADJ
easat-2753	96	17	and	and	CCONJ
easat-2753	96	18	complete	complete	ADJ
easat-2753	96	19	linkage	linkage	NOUN
easat-2753	96	20	approaches	approach	NOUN
easat-2753	96	21	depend	depend	VERB
easat-2753	96	22	only	only	ADV
easat-2753	96	23	upon	upon	SCONJ
easat-2753	96	24	the	the	DET
easat-2753	96	25	smallest	small	ADJ
easat-2753	96	26	or	or	CCONJ
easat-2753	96	27	largest	large	ADJ
easat-2753	96	28	dissimilarity	dissimilarity	NOUN
easat-2753	96	29	,	,	PUNCT
easat-2753	96	30	respectively	respectively	ADV
easat-2753	96	31	(	(	PUNCT
easat-2753	96	32	izenman	izenman	NOUN
easat-2753	96	33	,	,	PUNCT
easat-2753	96	34	2008	2008	NUM
easat-2753	96	35	)	)	PUNCT
easat-2753	96	36	.	.	PUNCT
easat-2753	97	1	6.2	6.2	NUM
easat-2753	97	2	.	.	PUNCT
easat-2753	98	1	divisive	divisive	ADJ
easat-2753	98	2	approaches	approach	NOUN
easat-2753	98	3	to	to	ADP
easat-2753	98	4	generating	generate	VERB
easat-2753	98	5	a	a	DET
easat-2753	98	6	hierarchical	hierarchical	ADJ
easat-2753	98	7	clustering	clustering	NOUN
easat-2753	98	8	divisive	divisive	ADJ
easat-2753	98	9	algorithms	algorithm	NOUN
easat-2753	98	10	have	have	VERB
easat-2753	98	11	two	two	NUM
easat-2753	98	12	approaches	approach	NOUN
easat-2753	98	13	,	,	PUNCT
easat-2753	98	14	monothetic	monothetic	NOUN
easat-2753	98	15	and	and	CCONJ
easat-2753	98	16	polythetic	polythetic	ADJ
easat-2753	98	17	.	.	PUNCT
easat-2753	99	1	in	in	ADP
easat-2753	99	2	a	a	DET
easat-2753	99	3	monothetic	monothetic	ADJ
easat-2753	99	4	approach	approach	NOUN
easat-2753	99	5	,	,	PUNCT
easat-2753	99	6	the	the	DET
easat-2753	99	7	division	division	NOUN
easat-2753	99	8	of	of	ADP
easat-2753	99	9	a	a	DET
easat-2753	99	10	group	group	NOUN
easat-2753	99	11	into	into	ADP
easat-2753	99	12	two	two	NUM
easat-2753	99	13	subgroups	subgroup	NOUN
easat-2753	99	14	is	be	AUX
easat-2753	99	15	based	base	VERB
easat-2753	99	16	on	on	ADP
easat-2753	99	17	a	a	DET
easat-2753	99	18	single	single	ADJ
easat-2753	99	19	variable	variable	NOUN
easat-2753	99	20	,	,	PUNCT
easat-2753	99	21	whereas	whereas	SCONJ
easat-2753	99	22	the	the	DET
easat-2753	99	23	polythetic	polythetic	ADJ
easat-2753	99	24	approach	approach	NOUN
easat-2753	99	25	uses	use	VERB
easat-2753	99	26	all	all	PRON
easat-2753	99	27	p	p	PROPN
easat-2753	99	28	variables	variable	NOUN
easat-2753	99	29	to	to	PART
easat-2753	99	30	make	make	VERB
easat-2753	99	31	the	the	DET
easat-2753	99	32	split	split	NOUN
easat-2753	99	33	.	.	PUNCT
easat-2753	100	1	if	if	SCONJ
easat-2753	100	2	the	the	DET
easat-2753	100	3	variables	variable	NOUN
easat-2753	100	4	are	be	AUX
easat-2753	100	5	binary	binary	ADJ
easat-2753	100	6	(	(	PUNCT
easat-2753	100	7	quantitative	quantitative	ADJ
easat-2753	100	8	variables	variable	NOUN
easat-2753	100	9	can	can	AUX
easat-2753	100	10	be	be	AUX
easat-2753	100	11	converted	convert	VERB
easat-2753	100	12	to	to	ADP
easat-2753	100	13	binary	binary	ADJ
easat-2753	100	14	variables	variable	NOUN
easat-2753	100	15	)	)	PUNCT
easat-2753	100	16	,	,	PUNCT
easat-2753	100	17	the	the	DET
easat-2753	100	18	monothetic	monothetic	ADJ
easat-2753	100	19	approach	approach	NOUN
easat-2753	100	20	can	can	AUX
easat-2753	100	21	easily	easily	ADV
easat-2753	100	22	be	be	AUX
easat-2753	100	23	applied	apply	VERB
easat-2753	100	24	.	.	PUNCT
easat-2753	101	1	the	the	DET
easat-2753	101	2	separating	separating	NOUN
easat-2753	101	3	of	of	ADP
easat-2753	101	4	variables	variable	NOUN
easat-2753	101	5	into	into	ADP
easat-2753	101	6	two	two	NUM
easat-2753	101	7	groups	group	NOUN
easat-2753	101	8	is	be	AUX
easat-2753	101	9	based	base	VERB
easat-2753	101	10	on	on	ADP
easat-2753	101	11	presence	presence	NOUN
easat-2753	101	12	or	or	CCONJ
easat-2753	101	13	absence	absence	NOUN
easat-2753	101	14	of	of	ADP
easat-2753	101	15	an	an	DET
easat-2753	101	16	attribute	attribute	NOUN
easat-2753	101	17	.	.	PUNCT
easat-2753	102	1	the	the	DET
easat-2753	102	2	variable	variable	ADJ
easat-2753	102	3	(	(	PUNCT
easat-2753	102	4	attribute	attribute	NOUN
easat-2753	102	5	)	)	PUNCT
easat-2753	102	6	is	be	AUX
easat-2753	102	7	chosen	choose	VERB
easat-2753	102	8	based	base	VERB
easat-2753	102	9	on	on	ADP
easat-2753	102	10	a	a	DET
easat-2753	102	11	chisquare	chisquare	NOUN
easat-2753	102	12	statistic	statistic	NOUN
easat-2753	102	13	or	or	CCONJ
easat-2753	102	14	an	an	DET
easat-2753	102	15	information	information	NOUN
easat-2753	102	16	statistic	statistic	NOUN
easat-2753	102	17	.	.	PUNCT
easat-2753	103	1	in	in	ADP
easat-2753	103	2	a	a	DET
easat-2753	103	3	polythetic	polythetic	ADJ
easat-2753	103	4	approach	approach	NOUN
easat-2753	103	5	in	in	ADP
easat-2753	103	6	each	each	DET
easat-2753	103	7	step	step	NOUN
easat-2753	103	8	,	,	PUNCT
easat-2753	103	9	the	the	DET
easat-2753	103	10	items	item	NOUN
easat-2753	103	11	are	be	AUX
easat-2753	103	12	divided	divide	VERB
easat-2753	103	13	into	into	ADP
easat-2753	103	14	“	"	PUNCT
easat-2753	103	15	splinter	splinter	VERB
easat-2753	103	16	”	"	PUNCT
easat-2753	103	17	group	group	NOUN
easat-2753	103	18	(	(	PUNCT
easat-2753	103	19	say	say	INTJ
easat-2753	103	20	,	,	PUNCT
easat-2753	103	21	cluster	cluster	NOUN
easat-2753	103	22	a	a	NOUN
easat-2753	103	23	)	)	PUNCT
easat-2753	103	24	and	and	CCONJ
easat-2753	103	25	“	"	PUNCT
easat-2753	103	26	remainder	remainder	NOUN
easat-2753	103	27	”	"	PUNCT
easat-2753	103	28	(	(	PUNCT
easat-2753	103	29	cluster	cluster	NOUN
easat-2753	103	30	b	b	NOUN
easat-2753	103	31	)	)	PUNCT
easat-2753	103	32	.	.	PUNCT
easat-2753	104	1	the	the	DET
easat-2753	104	2	splinter	splinter	NOUN
easat-2753	104	3	group	group	NOUN
easat-2753	104	4	is	be	AUX
easat-2753	104	5	initiated	initiate	VERB
easat-2753	104	6	by	by	ADP
easat-2753	104	7	extracting	extract	VERB
easat-2753	104	8	that	that	DET
easat-2753	104	9	item	item	NOUN
easat-2753	104	10	which	which	PRON
easat-2753	104	11	has	have	VERB
easat-2753	104	12	the	the	DET
easat-2753	104	13	largest	large	ADJ
easat-2753	104	14	average	average	ADJ
easat-2753	104	15	dissimilarity	dissimilarity	NOUN
easat-2753	104	16	from	from	ADP
easat-2753	104	17	all	all	DET
easat-2753	104	18	other	other	ADJ
easat-2753	104	19	items	item	NOUN
easat-2753	104	20	in	in	ADP
easat-2753	104	21	the	the	DET
easat-2753	104	22	data	data	NOUN
easat-2753	104	23	set	set	VERB
easat-2753	104	24	;	;	PUNCT
easat-2753	104	25	this	this	DET
easat-2753	104	26	item	item	NOUN
easat-2753	104	27	is	be	AUX
easat-2753	104	28	set	set	VERB
easat-2753	104	29	up	up	ADP
easat-2753	104	30	as	as	ADP
easat-2753	104	31	cluster	cluster	NOUN
easat-2753	104	32	.	.	PUNCT
easat-2753	105	1	given	give	VERB
easat-2753	105	2	this	this	DET
easat-2753	105	3	separation	separation	NOUN
easat-2753	105	4	of	of	ADP
easat-2753	105	5	the	the	DET
easat-2753	105	6	data	datum	NOUN
easat-2753	105	7	into	into	ADP
easat-2753	105	8	a	a	PRON
easat-2753	105	9	and	and	CCONJ
easat-2753	105	10	b	b	NOUN
easat-2753	105	11	,	,	PUNCT
easat-2753	105	12	we	we	PRON
easat-2753	105	13	calculate	calculate	VERB
easat-2753	105	14	for	for	ADP
easat-2753	105	15	each	each	DET
easat-2753	105	16	item	item	NOUN
easat-2753	105	17	in	in	ADP
easat-2753	105	18	cluster	cluster	NOUN
easat-2753	105	19	b	b	PROPN
easat-2753	105	20	,	,	PUNCT
easat-2753	105	21	the	the	DET
easat-2753	105	22	following	follow	VERB
easat-2753	105	23	two	two	NUM
easat-2753	105	24	quantities	quantity	NOUN
easat-2753	105	25	:	:	PUNCT
easat-2753	105	26	(	(	PUNCT
easat-2753	105	27	1	1	X
easat-2753	105	28	)	)	PUNCT
easat-2753	105	29	the	the	DET
easat-2753	105	30	average	average	ADJ
easat-2753	105	31	dissimilarity	dissimilarity	NOUN
easat-2753	105	32	between	between	ADP
easat-2753	105	33	that	that	DET
easat-2753	105	34	item	item	NOUN
easat-2753	105	35	and	and	CCONJ
easat-2753	105	36	all	all	DET
easat-2753	105	37	other	other	ADJ
easat-2753	105	38	items	item	NOUN
easat-2753	105	39	in	in	ADP
easat-2753	105	40	cluster	cluster	NOUN
easat-2753	105	41	b	b	NOUN
easat-2753	105	42	,	,	PUNCT
easat-2753	105	43	and	and	CCONJ
easat-2753	105	44	;	;	PUNCT
easat-2753	105	45	(	(	PUNCT
easat-2753	105	46	2	2	X
easat-2753	105	47	)	)	PUNCT
easat-2753	105	48	the	the	DET
easat-2753	105	49	average	average	ADJ
easat-2753	105	50	dissimilarity	dissimilarity	NOUN
easat-2753	105	51	between	between	ADP
easat-2753	105	52	that	that	DET
easat-2753	105	53	item	item	NOUN
easat-2753	105	54	and	and	CCONJ
easat-2753	105	55	all	all	DET
easat-2753	105	56	items	item	NOUN
easat-2753	105	57	in	in	ADP
easat-2753	105	58	cluster	cluster	NOUN
easat-2753	105	59	a.	a.	NOUN
easat-2753	105	60	then	then	ADV
easat-2753	105	61	,	,	PUNCT
easat-2753	105	62	we	we	PRON
easat-2753	105	63	calculate	calculate	VERB
easat-2753	105	64	the	the	DET
easat-2753	105	65	difference	difference	NOUN
easat-2753	105	66	between	between	ADP
easat-2753	105	67	(	(	PUNCT
easat-2753	105	68	1	1	NUM
easat-2753	105	69	)	)	PUNCT
easat-2753	105	70	and	and	CCONJ
easat-2753	105	71	(	(	PUNCT
easat-2753	105	72	2	2	X
easat-2753	105	73	)	)	PUNCT
easat-2753	105	74	for	for	ADP
easat-2753	105	75	each	each	DET
easat-2753	105	76	item	item	NOUN
easat-2753	105	77	in	in	ADP
easat-2753	105	78	b.	b.	PROPN
easat-2753	105	79	if	if	SCONJ
easat-2753	105	80	all	all	DET
easat-2753	105	81	differences	difference	NOUN
easat-2753	105	82	are	be	AUX
easat-2753	105	83	negative	negative	ADJ
easat-2753	105	84	,	,	PUNCT
easat-2753	105	85	we	we	PRON
easat-2753	105	86	stop	stop	VERB
easat-2753	105	87	the	the	DET
easat-2753	105	88	algorithm	algorithm	NOUN
easat-2753	105	89	.	.	PUNCT
easat-2753	106	1	comparatively	comparatively	ADV
easat-2753	106	2	,	,	PUNCT
easat-2753	106	3	if	if	SCONJ
easat-2753	106	4	any	any	PRON
easat-2753	106	5	of	of	ADP
easat-2753	106	6	these	these	DET
easat-2753	106	7	differences	difference	NOUN
easat-2753	106	8	are	be	AUX
easat-2753	106	9	positive	positive	ADJ
easat-2753	106	10	(	(	PUNCT
easat-2753	106	11	indicating	indicate	VERB
easat-2753	106	12	that	that	SCONJ
easat-2753	106	13	the	the	DET
easat-2753	106	14	item	item	NOUN
easat-2753	106	15	in	in	ADP
easat-2753	106	16	b	b	PROPN
easat-2753	106	17	is	be	AUX
easat-2753	106	18	closer	close	ADJ
easat-2753	106	19	on	on	ADP
easat-2753	106	20	average	average	ADJ
easat-2753	106	21	to	to	PART
easat-2753	106	22	cluster	cluster	VERB
easat-2753	106	23	a	a	DET
easat-2753	106	24	than	than	ADP
easat-2753	106	25	to	to	ADP
easat-2753	106	26	the	the	DET
easat-2753	106	27	other	other	ADJ
easat-2753	106	28	items	item	NOUN
easat-2753	106	29	in	in	ADP
easat-2753	106	30	cluster	cluster	NOUN
easat-2753	106	31	b	b	PROPN
easat-2753	106	32	)	)	PUNCT
easat-2753	106	33	,	,	PUNCT
easat-2753	106	34	we	we	PRON
easat-2753	106	35	take	take	VERB
easat-2753	106	36	the	the	DET
easat-2753	106	37	item	item	NOUN
easat-2753	106	38	in	in	ADP
easat-2753	106	39	b	b	NOUN
easat-2753	106	40	with	with	ADP
easat-2753	106	41	the	the	DET
easat-2753	106	42	largest	large	ADJ
easat-2753	106	43	positive	positive	ADJ
easat-2753	106	44	difference	difference	NOUN
easat-2753	106	45	,	,	PUNCT
easat-2753	106	46	then	then	ADV
easat-2753	106	47	we	we	PRON
easat-2753	106	48	shifted	shift	VERB
easat-2753	106	49	it	it	PRON
easat-2753	106	50	to	to	ADP
easat-2753	106	51	a	a	PRON
easat-2753	106	52	,	,	PUNCT
easat-2753	106	53	and	and	CCONJ
easat-2753	106	54	repeat	repeat	VERB
easat-2753	106	55	the	the	DET
easat-2753	106	56	procedure	procedure	NOUN
easat-2753	106	57	.	.	PUNCT
easat-2753	107	1	7	7	X
easat-2753	107	2	.	.	X
easat-2753	107	3	clustering	clustering	ADJ
easat-2753	107	4	methods	method	NOUN
easat-2753	107	5	,	,	PUNCT
easat-2753	107	6	nonhierarchical	nonhierarchical	ADJ
easat-2753	107	7	methods	method	NOUN
easat-2753	107	8	three	three	NUM
easat-2753	107	9	nonhierarchical	nonhierarchical	ADJ
easat-2753	107	10	techniques	technique	NOUN
easat-2753	107	11	will	will	AUX
easat-2753	107	12	be	be	AUX
easat-2753	107	13	discussed	discuss	VERB
easat-2753	107	14	:	:	PUNCT
easat-2753	107	15	partitioning	partition	VERB
easat-2753	107	16	,	,	PUNCT
easat-2753	107	17	k	k	NOUN
easat-2753	107	18	-	-	PUNCT
easat-2753	107	19	means	mean	NOUN
easat-2753	107	20	,	,	PUNCT
easat-2753	107	21	and	and	CCONJ
easat-2753	107	22	k	k	X
easat-2753	107	23	-	-	NOUN
easat-2753	107	24	medoids	medoid	NOUN
easat-2753	107	25	.	.	PUNCT
easat-2753	108	1	among	among	ADP
easat-2753	108	2	these	these	DET
easat-2753	108	3	three	three	NUM
easat-2753	108	4	methods	method	NOUN
easat-2753	108	5	,	,	PUNCT
easat-2753	108	6	partitioning	partition	VERB
easat-2753	108	7	is	be	AUX
easat-2753	108	8	mostly	mostly	ADV
easat-2753	108	9	used	use	VERB
easat-2753	108	10	.	.	PUNCT
easat-2753	109	1	7.1	7.1	NUM
easat-2753	109	2	.	.	PUNCT
easat-2753	110	1	partitioning	partition	VERB
easat-2753	110	2	in	in	ADP
easat-2753	110	3	the	the	DET
easat-2753	110	4	partitioning	partitioning	NOUN
easat-2753	110	5	approach	approach	NOUN
easat-2753	110	6	,	,	PUNCT
easat-2753	110	7	observations	observation	NOUN
easat-2753	110	8	are	be	AUX
easat-2753	110	9	separated	separate	VERB
easat-2753	110	10	into	into	ADP
easat-2753	110	11	g	g	PROPN
easat-2753	110	12	clusters	cluster	NOUN
easat-2753	110	13	without	without	ADP
easat-2753	110	14	using	use	VERB
easat-2753	110	15	a	a	DET
easat-2753	110	16	hierarchical	hierarchical	ADJ
easat-2753	110	17	approach	approach	NOUN
easat-2753	110	18	based	base	VERB
easat-2753	110	19	on	on	ADP
easat-2753	110	20	a	a	DET
easat-2753	110	21	matrix	matrix	NOUN
easat-2753	110	22	of	of	ADP
easat-2753	110	23	distances	distance	NOUN
easat-2753	110	24	or	or	CCONJ
easat-2753	110	25	similarities	similarity	NOUN
easat-2753	110	26	between	between	ADP
easat-2753	110	27	all	all	DET
easat-2753	110	28	pairs	pair	NOUN
easat-2753	110	29	of	of	ADP
easat-2753	110	30	points	point	NOUN
easat-2753	110	31	.	.	PUNCT
easat-2753	111	1	this	this	DET
easat-2753	111	2	method	method	NOUN
easat-2753	111	3	,	,	PUNCT
easat-2753	111	4	sometimes	sometimes	ADV
easat-2753	111	5	called	call	VERB
easat-2753	111	6	optimization	optimization	NOUN
easat-2753	111	7	method	method	NOUN
easat-2753	111	8	using	use	VERB
easat-2753	111	9	the	the	DET
easat-2753	111	10	following	follow	VERB
easat-2753	111	11	steps	step	NOUN
easat-2753	111	12	:	:	PUNCT
easat-2753	111	13	1	1	X
easat-2753	111	14	.	.	X
easat-2753	111	15	select	select	VERB
easat-2753	111	16	an	an	DET
easat-2753	111	17	initial	initial	ADJ
easat-2753	111	18	partition	partition	NOUN
easat-2753	111	19	with	with	ADP
easat-2753	111	20	k	k	PROPN
easat-2753	111	21	clusters	cluster	NOUN
easat-2753	111	22	.	.	PUNCT
easat-2753	112	1	2	2	X
easat-2753	112	2	.	.	X
easat-2753	112	3	generate	generate	VERB
easat-2753	112	4	a	a	DET
easat-2753	112	5	new	new	ADJ
easat-2753	112	6	partition	partition	NOUN
easat-2753	112	7	by	by	ADP
easat-2753	112	8	assigning	assign	VERB
easat-2753	112	9	each	each	DET
easat-2753	112	10	pattern	pattern	NOUN
easat-2753	112	11	to	to	ADP
easat-2753	112	12	its	its	PRON
easat-2753	112	13	closest	close	ADJ
easat-2753	112	14	cluster	cluster	NOUN
easat-2753	112	15	center	center	NOUN
easat-2753	112	16	.	.	PUNCT
easat-2753	113	1	3	3	X
easat-2753	113	2	.	.	X
easat-2753	113	3	compute	compute	ADJ
easat-2753	113	4	new	new	ADJ
easat-2753	113	5	cluster	cluster	NOUN
easat-2753	113	6	centers	center	NOUN
easat-2753	113	7	as	as	ADP
easat-2753	113	8	the	the	DET
easat-2753	113	9	centroids	centroid	NOUN
easat-2753	113	10	of	of	ADP
easat-2753	113	11	the	the	DET
easat-2753	113	12	clusters	cluster	NOUN
easat-2753	113	13	.	.	PUNCT
easat-2753	114	1	4	4	X
easat-2753	114	2	.	.	X
easat-2753	114	3	repeat	repeat	NOUN
easat-2753	114	4	steps	step	NOUN
easat-2753	114	5	2	2	NUM
easat-2753	114	6	and	and	CCONJ
easat-2753	114	7	3	3	NUM
easat-2753	114	8	until	until	SCONJ
easat-2753	114	9	an	an	DET
easat-2753	114	10	optimum	optimum	ADJ
easat-2753	114	11	value	value	NOUN
easat-2753	114	12	of	of	ADP
easat-2753	114	13	the	the	DET
easat-2753	114	14	criterion	criterion	NOUN
easat-2753	114	15	function	function	NOUN
easat-2753	114	16	is	be	AUX
easat-2753	114	17	found	find	VERB
easat-2753	114	18	.	.	PUNCT
easat-2753	115	1	5	5	X
easat-2753	115	2	.	.	X
easat-2753	115	3	adjust	adjust	VERB
easat-2753	115	4	the	the	DET
easat-2753	115	5	number	number	NOUN
easat-2753	115	6	of	of	ADP
easat-2753	115	7	clusters	cluster	NOUN
easat-2753	115	8	by	by	ADP
easat-2753	115	9	merging	merge	VERB
easat-2753	115	10	and	and	CCONJ
easat-2753	115	11	splitting	split	VERB
easat-2753	115	12	existing	exist	VERB
easat-2753	115	13	clusters	cluster	NOUN
easat-2753	115	14	or	or	CCONJ
easat-2753	115	15	by	by	ADP
easat-2753	115	16	removing	remove	VERB
easat-2753	115	17	small	small	ADJ
easat-2753	115	18	,	,	PUNCT
easat-2753	115	19	or	or	CCONJ
easat-2753	115	20	outlier	outlier	NOUN
easat-2753	115	21	clusters	cluster	NOUN
easat-2753	115	22	.	.	PUNCT
easat-2753	116	1	repeat	repeat	NOUN
easat-2753	116	2	steps	step	NOUN
easat-2753	116	3	2	2	NUM
easat-2753	116	4	through	through	ADP
easat-2753	116	5	5	5	NUM
easat-2753	116	6	until	until	SCONJ
easat-2753	116	7	the	the	DET
easat-2753	116	8	cluster	cluster	NOUN
easat-2753	116	9	membership	membership	NOUN
easat-2753	116	10	stabilizes	stabilize	VERB
easat-2753	116	11	.	.	PUNCT
easat-2753	117	1	7.2	7.2	NUM
easat-2753	117	2	.	.	PUNCT
easat-2753	118	1	k	k	X
easat-2753	118	2	-	-	PUNCT
easat-2753	118	3	means	mean	VERB
easat-2753	118	4	this	this	DET
easat-2753	118	5	approach	approach	NOUN
easat-2753	118	6	allows	allow	VERB
easat-2753	118	7	the	the	DET
easat-2753	118	8	items	item	NOUN
easat-2753	118	9	to	to	PART
easat-2753	118	10	be	be	AUX
easat-2753	118	11	moved	move	VERB
easat-2753	118	12	from	from	ADP
easat-2753	118	13	one	one	NUM
easat-2753	118	14	cluster	cluster	NOUN
easat-2753	118	15	to	to	ADP
easat-2753	118	16	another	another	PRON
easat-2753	118	17	.	.	PUNCT
easat-2753	119	1	henceforth	henceforth	ADV
easat-2753	119	2	,	,	PUNCT
easat-2753	119	3	the	the	DET
easat-2753	119	4	researcher	researcher	NOUN
easat-2753	119	5	will	will	AUX
easat-2753	119	6	continue	continue	VERB
easat-2753	119	7	using	use	VERB
easat-2753	119	8	the	the	DET
easat-2753	119	9	notation	notation	NOUN
easat-2753	119	10	g	g	PROPN
easat-2753	119	11	rather	rather	ADV
easat-2753	119	12	than	than	ADP
easat-2753	119	13	k	k	PROPN
easat-2753	119	14	for	for	ADP
easat-2753	119	15	the	the	DET
easat-2753	119	16	numbers	number	NOUN
easat-2753	119	17	of	of	ADP
easat-2753	119	18	clusters	cluster	NOUN
easat-2753	119	19	.	.	PUNCT
easat-2753	120	1	we	we	PRON
easat-2753	120	2	first	first	ADV
easat-2753	120	3	select	select	VERB
easat-2753	120	4	g	g	PROPN
easat-2753	120	5	items	item	NOUN
easat-2753	120	6	to	to	PART
easat-2753	120	7	serve	serve	VERB
easat-2753	120	8	as	as	ADP
easat-2753	120	9	seeds	seed	NOUN
easat-2753	120	10	.	.	PUNCT
easat-2753	121	1	these	these	PRON
easat-2753	121	2	are	be	AUX
easat-2753	121	3	later	later	ADV
easat-2753	121	4	replaced	replace	VERB
easat-2753	121	5	by	by	ADP
easat-2753	121	6	the	the	DET
easat-2753	121	7	centroids	centroid	NOUN
easat-2753	121	8	(	(	PUNCT
easat-2753	121	9	mean	mean	ADJ
easat-2753	121	10	vectors	vector	NOUN
easat-2753	121	11	)	)	PUNCT
easat-2753	121	12	of	of	ADP
easat-2753	121	13	the	the	DET
easat-2753	121	14	clusters	cluster	NOUN
easat-2753	121	15	.	.	PUNCT
easat-2753	122	1	choose	choose	VERB
easat-2753	122	2	the	the	DET
easat-2753	122	3	first	first	ADJ
easat-2753	122	4	g	g	NOUN
easat-2753	122	5	points	point	NOUN
easat-2753	122	6	in	in	ADP
easat-2753	122	7	the	the	DET
easat-2753	122	8	data	data	NOUN
easat-2753	122	9	set	set	VERB
easat-2753	122	10	(	(	PUNCT
easat-2753	122	11	again	again	ADV
easat-2753	122	12	subject	subject	ADJ
easat-2753	122	13	to	to	ADP
easat-2753	122	14	a	a	DET
easat-2753	122	15	minimum	minimum	ADJ
easat-2753	122	16	distance	distance	NOUN
easat-2753	122	17	requirement	requirement	NOUN
easat-2753	122	18	)	)	PUNCT
easat-2753	122	19	,	,	PUNCT
easat-2753	122	20	select	select	VERB
easat-2753	122	21	the	the	DET
easat-2753	122	22	g	g	PROPN
easat-2753	122	23	points	point	NOUN
easat-2753	122	24	that	that	PRON
easat-2753	122	25	are	be	AUX
easat-2753	122	26	mutually	mutually	ADV
easat-2753	122	27	farthest	farth	ADJ
easat-2753	122	28	apart	apart	ADV
easat-2753	122	29	,	,	PUNCT
easat-2753	122	30	find	find	VERB
easat-2753	122	31	the	the	DET
easat-2753	122	32	g	g	NOUN
easat-2753	122	33	points	point	NOUN
easat-2753	122	34	of	of	ADP
easat-2753	122	35	maximum	maximum	ADJ
easat-2753	122	36	density	density	NOUN
easat-2753	122	37	,	,	PUNCT
easat-2753	122	38	or	or	CCONJ
easat-2753	122	39	specify	specify	VERB
easat-2753	122	40	g	g	NOUN
easat-2753	122	41	regularly	regularly	ADV
easat-2753	122	42	spaced	space	VERB
easat-2753	122	43	points	point	NOUN
easat-2753	122	44	in	in	ADP
easat-2753	122	45	a	a	DET
easat-2753	122	46	grid	grid	NOUN
easat-2753	122	47	like	like	ADP
easat-2753	122	48	pattern	pattern	NOUN
easat-2753	122	49	(	(	PUNCT
easat-2753	122	50	these	these	PRON
easat-2753	122	51	would	would	AUX
easat-2753	122	52	not	not	PART
easat-2753	122	53	be	be	AUX
easat-2753	122	54	actual	actual	ADJ
easat-2753	122	55	data	datum	NOUN
easat-2753	122	56	points	point	NOUN
easat-2753	122	57	)	)	PUNCT
easat-2753	122	58	.	.	PUNCT
easat-2753	123	1	rencher	rencher	INTJ
easat-2753	123	2	(	(	PUNCT
easat-2753	123	3	2002	2002	NUM
easat-2753	123	4	)	)	PUNCT
easat-2753	123	5	.	.	PUNCT
easat-2753	124	1	3546	3546	NUM
easat-2753	124	2	edelweiss	edelweiss	PROPN
easat-2753	124	3	applied	apply	VERB
easat-2753	124	4	science	science	NOUN
easat-2753	124	5	and	and	CCONJ
easat-2753	124	6	technology	technology	NOUN
easat-2753	124	7	issn	issn	PROPN
easat-2753	124	8	:	:	PUNCT
easat-2753	124	9	2576	2576	NUM
easat-2753	124	10	-	-	SYM
easat-2753	124	11	8484	8484	NUM
easat-2753	124	12	vol	vol	NOUN
easat-2753	124	13	.	.	PROPN
easat-2753	124	14	8	8	NUM
easat-2753	124	15	,	,	PUNCT
easat-2753	124	16	no	no	INTJ
easat-2753	124	17	.	.	NOUN
easat-2753	125	1	6	6	NUM
easat-2753	125	2	:	:	SYM
easat-2753	125	3	3542	3542	NUM
easat-2753	125	4	-	-	SYM
easat-2753	125	5	3555	3555	NUM
easat-2753	125	6	,	,	PUNCT
easat-2753	125	7	2024	2024	NUM
easat-2753	125	8	doi	doi	NOUN
easat-2753	125	9	:	:	PUNCT
easat-2753	125	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	125	11	©	©	PROPN
easat-2753	125	12	2024	2024	NUM
easat-2753	125	13	by	by	ADP
easat-2753	125	14	the	the	DET
easat-2753	125	15	authors	author	NOUN
easat-2753	125	16	;	;	PUNCT
easat-2753	125	17	licensee	licensee	PROPN
easat-2753	125	18	learning	learn	VERB
easat-2753	125	19	gate	gate	NOUN
easat-2753	125	20	after	after	SCONJ
easat-2753	125	21	all	all	DET
easat-2753	125	22	items	item	NOUN
easat-2753	125	23	are	be	AUX
easat-2753	125	24	assigned	assign	VERB
easat-2753	125	25	to	to	ADP
easat-2753	125	26	clusters	cluster	NOUN
easat-2753	125	27	,	,	PUNCT
easat-2753	125	28	each	each	DET
easat-2753	125	29	item	item	NOUN
easat-2753	125	30	is	be	AUX
easat-2753	125	31	examined	examine	VERB
easat-2753	125	32	to	to	PART
easat-2753	125	33	see	see	VERB
easat-2753	125	34	if	if	SCONJ
easat-2753	125	35	it	it	PRON
easat-2753	125	36	is	be	AUX
easat-2753	125	37	closer	close	ADJ
easat-2753	125	38	to	to	ADP
easat-2753	125	39	the	the	DET
easat-2753	125	40	centroid	centroid	NOUN
easat-2753	125	41	of	of	ADP
easat-2753	125	42	another	another	DET
easat-2753	125	43	cluster	cluster	NOUN
easat-2753	125	44	than	than	ADP
easat-2753	125	45	to	to	ADP
easat-2753	125	46	the	the	DET
easat-2753	125	47	centroid	centroid	NOUN
easat-2753	125	48	of	of	ADP
easat-2753	125	49	its	its	PRON
easat-2753	125	50	own	own	ADJ
easat-2753	125	51	cluster	cluster	NOUN
easat-2753	125	52	.	.	PUNCT
easat-2753	126	1	if	if	SCONJ
easat-2753	126	2	so	so	ADV
easat-2753	126	3	,	,	PUNCT
easat-2753	126	4	the	the	DET
easat-2753	126	5	item	item	NOUN
easat-2753	126	6	is	be	AUX
easat-2753	126	7	moved	move	VERB
easat-2753	126	8	to	to	ADP
easat-2753	126	9	the	the	DET
easat-2753	126	10	new	new	ADJ
easat-2753	126	11	cluster	cluster	NOUN
easat-2753	126	12	and	and	CCONJ
easat-2753	126	13	the	the	DET
easat-2753	126	14	two	two	NUM
easat-2753	126	15	cluster	cluster	NOUN
easat-2753	126	16	centroids	centroid	NOUN
easat-2753	126	17	are	be	AUX
easat-2753	126	18	updated	update	VERB
easat-2753	126	19	.	.	PUNCT
easat-2753	127	1	this	this	DET
easat-2753	127	2	process	process	NOUN
easat-2753	127	3	is	be	AUX
easat-2753	127	4	continued	continue	VERB
easat-2753	127	5	until	until	SCONJ
easat-2753	127	6	no	no	DET
easat-2753	127	7	further	further	ADJ
easat-2753	127	8	improvement	improvement	NOUN
easat-2753	127	9	is	be	AUX
easat-2753	127	10	possible	possible	ADJ
easat-2753	127	11	.	.	PUNCT
easat-2753	128	1	7.3	7.3	NUM
easat-2753	128	2	.	.	PUNCT
easat-2753	129	1	k	k	X
easat-2753	129	2	-	-	PUNCT
easat-2753	129	3	medoids	medoid	NOUN
easat-2753	129	4	clustering	cluster	VERB
easat-2753	129	5	the	the	DET
easat-2753	129	6	k	k	ADJ
easat-2753	129	7	-	-	PUNCT
easat-2753	129	8	medoids	medoid	NOUN
easat-2753	129	9	algorithm	algorithm	NOUN
easat-2753	129	10	attempts	attempt	VERB
easat-2753	129	11	to	to	PART
easat-2753	129	12	minimize	minimize	VERB
easat-2753	129	13	squared	square	VERB
easat-2753	129	14	error	error	NOUN
easat-2753	129	15	,	,	PUNCT
easat-2753	129	16	and	and	CCONJ
easat-2753	129	17	the	the	DET
easat-2753	129	18	distance	distance	NOUN
easat-2753	129	19	between	between	ADP
easat-2753	129	20	points	point	NOUN
easat-2753	129	21	labeled	label	VERB
easat-2753	129	22	to	to	PART
easat-2753	129	23	be	be	AUX
easat-2753	129	24	in	in	ADP
easat-2753	129	25	a	a	DET
easat-2753	129	26	cluster	cluster	NOUN
easat-2753	129	27	and	and	CCONJ
easat-2753	129	28	a	a	DET
easat-2753	129	29	point	point	NOUN
easat-2753	129	30	designated	designate	VERB
easat-2753	129	31	as	as	ADP
easat-2753	129	32	the	the	DET
easat-2753	129	33	center	center	NOUN
easat-2753	129	34	of	of	ADP
easat-2753	129	35	that	that	DET
easat-2753	129	36	cluster	cluster	NOUN
easat-2753	129	37	.	.	PUNCT
easat-2753	130	1	k	k	X
easat-2753	130	2	-	-	PUNCT
easat-2753	130	3	medoids	medoids	PROPN
easat-2753	130	4	is	be	AUX
easat-2753	130	5	a	a	DET
easat-2753	130	6	partitioning	partitioning	ADJ
easat-2753	130	7	technique	technique	NOUN
easat-2753	130	8	of	of	ADP
easat-2753	130	9	clustering	clustering	NOUN
easat-2753	130	10	that	that	SCONJ
easat-2753	130	11	groups	group	NOUN
easat-2753	130	12	the	the	DET
easat-2753	130	13	data	datum	NOUN
easat-2753	130	14	set	set	VERB
easat-2753	130	15	of	of	ADP
easat-2753	130	16	n	n	PRON
easat-2753	130	17	objects	object	NOUN
easat-2753	130	18	into	into	ADP
easat-2753	130	19	k	k	PROPN
easat-2753	130	20	clusters	cluster	NOUN
easat-2753	130	21	with	with	ADP
easat-2753	130	22	k	k	PROPN
easat-2753	130	23	known	know	VERB
easat-2753	130	24	a	a	DET
easat-2753	130	25	priori	priori	ADV
easat-2753	130	26	.	.	PUNCT
easat-2753	131	1	a	a	DET
easat-2753	131	2	useful	useful	ADJ
easat-2753	131	3	tool	tool	NOUN
easat-2753	131	4	for	for	ADP
easat-2753	131	5	determining	determine	VERB
easat-2753	131	6	k	k	PROPN
easat-2753	131	7	is	be	AUX
easat-2753	131	8	the	the	DET
easat-2753	131	9	silhouette	silhouette	NOUN
easat-2753	131	10	.	.	PUNCT
easat-2753	132	1	it	it	PRON
easat-2753	132	2	could	could	AUX
easat-2753	132	3	be	be	AUX
easat-2753	132	4	more	more	ADV
easat-2753	132	5	robust	robust	ADJ
easat-2753	132	6	to	to	PART
easat-2753	132	7	noise	noise	NOUN
easat-2753	132	8	and	and	CCONJ
easat-2753	132	9	outliers	outlier	NOUN
easat-2753	132	10	as	as	SCONJ
easat-2753	132	11	compared	compare	VERB
easat-2753	132	12	to	to	ADP
easat-2753	132	13	k	k	X
easat-2753	132	14	-	-	PUNCT
easat-2753	132	15	means	means	NOUN
easat-2753	132	16	because	because	SCONJ
easat-2753	132	17	it	it	PRON
easat-2753	132	18	minimizes	minimize	VERB
easat-2753	132	19	a	a	DET
easat-2753	132	20	sum	sum	NOUN
easat-2753	132	21	of	of	ADP
easat-2753	132	22	general	general	ADJ
easat-2753	132	23	pairwise	pairwise	NOUN
easat-2753	132	24	dissimilarities	dissimilarity	NOUN
easat-2753	132	25	instead	instead	ADV
easat-2753	132	26	of	of	ADP
easat-2753	132	27	a	a	DET
easat-2753	132	28	sum	sum	NOUN
easat-2753	132	29	of	of	ADP
easat-2753	132	30	squared	square	VERB
easat-2753	132	31	“	"	PUNCT
easat-2753	132	32	euclidean	euclidean	ADJ
easat-2753	132	33	”	"	PUNCT
easat-2753	132	34	distances	distance	NOUN
easat-2753	132	35	.	.	PUNCT
easat-2753	133	1	the	the	DET
easat-2753	133	2	possible	possible	ADJ
easat-2753	133	3	choice	choice	NOUN
easat-2753	133	4	of	of	ADP
easat-2753	133	5	the	the	DET
easat-2753	133	6	dissimilarity	dissimilarity	NOUN
easat-2753	133	7	function	function	NOUN
easat-2753	133	8	is	be	AUX
easat-2753	133	9	very	very	ADV
easat-2753	133	10	rich	rich	ADJ
easat-2753	133	11	,	,	PUNCT
easat-2753	133	12	but	but	CCONJ
easat-2753	133	13	in	in	ADP
easat-2753	133	14	this	this	DET
easat-2753	133	15	research	research	NOUN
easat-2753	133	16	,	,	PUNCT
easat-2753	133	17	we	we	PRON
easat-2753	133	18	used	use	VERB
easat-2753	133	19	the	the	DET
easat-2753	133	20	squared	squared	ADJ
easat-2753	133	21	euclidean	euclidean	ADJ
easat-2753	133	22	distance	distance	NOUN
easat-2753	133	23	.	.	PUNCT
easat-2753	134	1	a	a	DET
easat-2753	134	2	k	k	NOUN
easat-2753	134	3	-	-	PUNCT
easat-2753	134	4	medoids	medoid	NOUN
easat-2753	134	5	of	of	ADP
easat-2753	134	6	a	a	DET
easat-2753	134	7	finite	finite	ADJ
easat-2753	134	8	dataset	dataset	NOUN
easat-2753	134	9	is	be	AUX
easat-2753	134	10	a	a	DET
easat-2753	134	11	data	data	NOUN
easat-2753	134	12	point	point	NOUN
easat-2753	134	13	from	from	ADP
easat-2753	134	14	this	this	DET
easat-2753	134	15	certain	certain	ADJ
easat-2753	134	16	set	set	NOUN
easat-2753	134	17	,	,	PUNCT
easat-2753	134	18	whose	whose	DET
easat-2753	134	19	average	average	ADJ
easat-2753	134	20	dissimilarity	dissimilarity	NOUN
easat-2753	134	21	to	to	ADP
easat-2753	134	22	all	all	DET
easat-2753	134	23	the	the	DET
easat-2753	134	24	data	data	NOUN
easat-2753	134	25	points	point	NOUN
easat-2753	134	26	for	for	SCONJ
easat-2753	134	27	it	it	PRON
easat-2753	134	28	is	be	AUX
easat-2753	134	29	minimal	minimal	ADJ
easat-2753	134	30	.	.	PUNCT
easat-2753	135	1	in	in	ADP
easat-2753	135	2	other	other	ADJ
easat-2753	135	3	words	word	NOUN
easat-2753	135	4	,	,	PUNCT
easat-2753	135	5	it	it	PRON
easat-2753	135	6	is	be	AUX
easat-2753	135	7	the	the	DET
easat-2753	135	8	most	most	ADV
easat-2753	135	9	centrally	centrally	ADV
easat-2753	135	10	located	locate	VERB
easat-2753	135	11	point	point	NOUN
easat-2753	135	12	in	in	ADP
easat-2753	135	13	the	the	DET
easat-2753	135	14	set	set	NOUN
easat-2753	135	15	.	.	PUNCT
easat-2753	136	1	according	accord	VERB
easat-2753	136	2	to	to	ADP
easat-2753	136	3	mirkes	mirke	NOUN
easat-2753	136	4	(	(	PUNCT
easat-2753	136	5	2011	2011	NUM
easat-2753	136	6	)	)	PUNCT
easat-2753	136	7	,	,	PUNCT
easat-2753	136	8	the	the	DET
easat-2753	136	9	most	most	ADV
easat-2753	136	10	common	common	ADJ
easat-2753	136	11	recognition	recognition	NOUN
easat-2753	136	12	of	of	ADP
easat-2753	136	13	k	k	PROPN
easat-2753	136	14	-	-	PROPN
easat-2753	136	15	medoid	medoid	PROPN
easat-2753	136	16	clustering	clustering	NOUN
easat-2753	136	17	is	be	AUX
easat-2753	136	18	the	the	DET
easat-2753	136	19	partitioning	partitioning	NOUN
easat-2753	136	20	around	around	ADP
easat-2753	136	21	medoids	medoids	PROPN
easat-2753	136	22	(	(	PUNCT
easat-2753	136	23	pam	pam	NOUN
easat-2753	136	24	)	)	PUNCT
easat-2753	136	25	algorithm	algorithm	NOUN
easat-2753	136	26	and	and	CCONJ
easat-2753	136	27	it	it	PRON
easat-2753	136	28	works	work	VERB
easat-2753	136	29	as	as	SCONJ
easat-2753	136	30	follows	follow	VERB
easat-2753	136	31	:	:	PUNCT
easat-2753	136	32	1initialize	1initialize	NUM
easat-2753	136	33	a	a	DET
easat-2753	136	34	randomly	randomly	ADV
easat-2753	136	35	select	select	ADJ
easat-2753	136	36	k	k	PROPN
easat-2753	136	37	of	of	ADP
easat-2753	136	38	the	the	DET
easat-2753	136	39	n	n	PROPN
easat-2753	136	40	data	data	NOUN
easat-2753	136	41	points	point	NOUN
easat-2753	136	42	as	as	ADP
easat-2753	136	43	the	the	DET
easat-2753	136	44	medoids	medoid	NOUN
easat-2753	136	45	,	,	PUNCT
easat-2753	136	46	then	then	ADV
easat-2753	136	47	associate	associate	VERB
easat-2753	136	48	each	each	DET
easat-2753	136	49	data	data	NOUN
easat-2753	136	50	point	point	NOUN
easat-2753	136	51	to	to	ADP
easat-2753	136	52	the	the	DET
easat-2753	136	53	closest	close	ADJ
easat-2753	136	54	medoid	medoid	NOUN
easat-2753	136	55	and	and	CCONJ
easat-2753	136	56	for	for	ADP
easat-2753	136	57	each	each	DET
easat-2753	136	58	medoid	medoid	PROPN
easat-2753	136	59	m	m	PROPN
easat-2753	136	60	and	and	CCONJ
easat-2753	136	61	each	each	DET
easat-2753	136	62	associated	associated	ADJ
easat-2753	136	63	data	data	NOUN
easat-2753	136	64	point	point	NOUN
easat-2753	136	65	.	.	PUNCT
easat-2753	137	1	2“m	2“m	NUM
easat-2753	137	2	”	"	PUNCT
easat-2753	137	3	swap	swap	NOUN
easat-2753	137	4	“	"	PUNCT
easat-2753	137	5	m	m	PROPN
easat-2753	137	6	and	and	CCONJ
easat-2753	137	7	o	o	NOUN
easat-2753	137	8	”	"	PUNCT
easat-2753	137	9	and	and	CCONJ
easat-2753	137	10	compute	compute	VERB
easat-2753	137	11	the	the	DET
easat-2753	137	12	total	total	ADJ
easat-2753	137	13	cost	cost	NOUN
easat-2753	137	14	of	of	ADP
easat-2753	137	15	the	the	DET
easat-2753	137	16	configuration	configuration	NOUN
easat-2753	137	17	(	(	PUNCT
easat-2753	137	18	that	that	ADV
easat-2753	137	19	is	is	ADV
easat-2753	137	20	,	,	PUNCT
easat-2753	137	21	the	the	DET
easat-2753	137	22	average	average	ADJ
easat-2753	137	23	dissimilarity	dissimilarity	NOUN
easat-2753	137	24	of	of	ADP
easat-2753	137	25	o	o	NOUN
easat-2753	137	26	to	to	ADP
easat-2753	137	27	all	all	DET
easat-2753	137	28	the	the	DET
easat-2753	137	29	data	data	NOUN
easat-2753	137	30	points	point	NOUN
easat-2753	137	31	associated	associate	VERB
easat-2753	137	32	to	to	ADP
easat-2753	137	33	m	m	PROPN
easat-2753	137	34	)	)	PUNCT
easat-2753	137	35	.	.	PUNCT
easat-2753	138	1	3select	3select	NUM
easat-2753	138	2	the	the	DET
easat-2753	138	3	medoid	medoid	PROPN
easat-2753	138	4	o	o	PROPN
easat-2753	138	5	with	with	ADP
easat-2753	138	6	the	the	DET
easat-2753	138	7	lowest	low	ADJ
easat-2753	138	8	cost	cost	NOUN
easat-2753	138	9	of	of	ADP
easat-2753	138	10	the	the	DET
easat-2753	138	11	configuration	configuration	NOUN
easat-2753	138	12	.	.	PUNCT
easat-2753	139	1	4at	4at	ADJ
easat-2753	139	2	last	last	ADJ
easat-2753	139	3	,	,	PUNCT
easat-2753	139	4	repeat	repeat	NOUN
easat-2753	139	5	alternating	alternate	VERB
easat-2753	139	6	steps	step	NOUN
easat-2753	139	7	2	2	NUM
easat-2753	139	8	and	and	CCONJ
easat-2753	139	9	3	3	NUM
easat-2753	139	10	until	until	SCONJ
easat-2753	139	11	there	there	PRON
easat-2753	139	12	is	be	VERB
easat-2753	139	13	no	no	DET
easat-2753	139	14	change	change	NOUN
easat-2753	139	15	in	in	ADP
easat-2753	139	16	the	the	DET
easat-2753	139	17	assignments	assignment	NOUN
easat-2753	139	18	.	.	PUNCT
easat-2753	140	1	differences	difference	NOUN
easat-2753	140	2	between	between	ADP
easat-2753	140	3	hierarchical	hierarchical	ADJ
easat-2753	140	4	clustering	clustering	NOUN
easat-2753	140	5	and	and	CCONJ
easat-2753	140	6	non	non	ADJ
easat-2753	140	7	-	-	ADJ
easat-2753	140	8	hierarchical	hierarchical	ADJ
easat-2753	140	9	clustering	clustering	NOUN
easat-2753	140	10	are	be	AUX
easat-2753	140	11	given	give	VERB
easat-2753	140	12	in	in	ADP
easat-2753	140	13	tabel(1	tabel(1	PROPN
easat-2753	140	14	)	)	PUNCT
easat-2753	140	15	.	.	PUNCT
easat-2753	141	1	table	table	NOUN
easat-2753	141	2	1	1	NUM
easat-2753	141	3	.	.	PUNCT
easat-2753	142	1	differences	difference	NOUN
easat-2753	142	2	between	between	ADP
easat-2753	142	3	hierarchical	hierarchical	ADJ
easat-2753	142	4	clustering	clustering	NOUN
easat-2753	142	5	and	and	CCONJ
easat-2753	142	6	non	non	ADJ
easat-2753	142	7	-	-	ADJ
easat-2753	142	8	hierarchical	hierarchical	ADJ
easat-2753	142	9	clustering	clustering	NOUN
easat-2753	142	10	.	.	PUNCT
easat-2753	143	1	no	no	DET
easat-2753	143	2	hierarchical	hierarchical	ADJ
easat-2753	143	3	clustering	clustering	NOUN
easat-2753	143	4	(	(	PUNCT
easat-2753	143	5	hc	hc	NOUN
easat-2753	143	6	)	)	PUNCT
easat-2753	143	7	non	non	X
easat-2753	143	8	hierarchical	hierarchical	ADJ
easat-2753	143	9	clustering	cluster	VERB
easat-2753	143	10	1	1	NUM
easat-2753	143	11	it	it	PRON
easat-2753	143	12	involves	involve	VERB
easat-2753	143	13	creating	create	VERB
easat-2753	143	14	clusters	cluster	NOUN
easat-2753	143	15	in	in	ADP
easat-2753	143	16	a	a	DET
easat-2753	143	17	predefined	predefine	VERB
easat-2753	143	18	order	order	NOUN
easat-2753	143	19	from	from	ADP
easat-2753	143	20	top	top	NOUN
easat-2753	143	21	to	to	ADP
easat-2753	143	22	bottom	bottom	NOUN
easat-2753	143	23	it	it	PRON
easat-2753	143	24	involves	involve	VERB
easat-2753	143	25	formation	formation	NOUN
easat-2753	143	26	of	of	ADP
easat-2753	143	27	new	new	ADJ
easat-2753	143	28	clusters	cluster	NOUN
easat-2753	143	29	by	by	ADP
easat-2753	143	30	merging	merge	VERB
easat-2753	143	31	or	or	CCONJ
easat-2753	143	32	splitting	split	VERB
easat-2753	143	33	clusters	cluster	NOUN
easat-2753	143	34	instead	instead	ADV
easat-2753	143	35	of	of	ADP
easat-2753	143	36	following	follow	VERB
easat-2753	143	37	hc	hc	NOUN
easat-2753	143	38	order	order	NOUN
easat-2753	143	39	.	.	PUNCT
easat-2753	144	1	2	2	NUM
easat-2753	144	2	it	it	PRON
easat-2753	144	3	is	be	AUX
easat-2753	144	4	considered	consider	VERB
easat-2753	144	5	less	less	ADV
easat-2753	144	6	reliable	reliable	ADJ
easat-2753	144	7	than	than	ADP
easat-2753	144	8	non	non	ADJ
easat-2753	144	9	-	-	NOUN
easat-2753	144	10	hc	hc	ADJ
easat-2753	144	11	it	it	PRON
easat-2753	144	12	is	be	AUX
easat-2753	144	13	comparatively	comparatively	ADV
easat-2753	144	14	more	more	ADV
easat-2753	144	15	reliable	reliable	ADJ
easat-2753	144	16	than	than	ADP
easat-2753	144	17	hc	hc	PROPN
easat-2753	144	18	3	3	NUM
easat-2753	144	19	it	it	PRON
easat-2753	144	20	is	be	AUX
easat-2753	144	21	considered	consider	VERB
easat-2753	144	22	slower	slow	ADJ
easat-2753	144	23	than	than	ADP
easat-2753	144	24	non	non	ADJ
easat-2753	144	25	-	-	NOUN
easat-2753	144	26	hc	hc	ADJ
easat-2753	144	27	it	it	PRON
easat-2753	144	28	is	be	AUX
easat-2753	144	29	comparatively	comparatively	ADV
easat-2753	144	30	faster	fast	ADJ
easat-2753	144	31	than	than	SCONJ
easat-2753	144	32	hc	hc	NOUN
easat-2753	144	33	4	4	NUM
easat-2753	144	34	avoid	avoid	VERB
easat-2753	144	35	applying	apply	VERB
easat-2753	144	36	this	this	DET
easat-2753	144	37	technique	technique	NOUN
easat-2753	144	38	when	when	SCONJ
easat-2753	144	39	data	datum	NOUN
easat-2753	144	40	with	with	ADP
easat-2753	144	41	high	high	ADJ
easat-2753	144	42	level	level	NOUN
easat-2753	144	43	of	of	ADP
easat-2753	144	44	errors	error	NOUN
easat-2753	144	45	it	it	PRON
easat-2753	144	46	can	can	AUX
easat-2753	144	47	work	work	VERB
easat-2753	144	48	better	well	ADV
easat-2753	144	49	then	then	ADV
easat-2753	144	50	hc	hc	VERB
easat-2753	144	51	even	even	ADV
easat-2753	144	52	when	when	SCONJ
easat-2753	144	53	error	error	NOUN
easat-2753	144	54	is	be	AUX
easat-2753	144	55	there	there	ADV
easat-2753	144	56	.	.	PUNCT
easat-2753	145	1	5	5	NUM
easat-2753	145	2	it	it	PRON
easat-2753	145	3	is	be	AUX
easat-2753	145	4	comparatively	comparatively	ADV
easat-2753	145	5	easier	easy	ADJ
easat-2753	145	6	to	to	PART
easat-2753	145	7	read	read	VERB
easat-2753	145	8	and	and	CCONJ
easat-2753	145	9	understand	understand	VERB
easat-2753	145	10	.	.	PUNCT
easat-2753	146	1	clusters	cluster	NOUN
easat-2753	146	2	are	be	AUX
easat-2753	146	3	difficult	difficult	ADJ
easat-2753	146	4	to	to	PART
easat-2753	146	5	read	read	VERB
easat-2753	146	6	and	and	CCONJ
easat-2753	146	7	understand	understand	VERB
easat-2753	146	8	as	as	SCONJ
easat-2753	146	9	compared	compare	VERB
easat-2753	146	10	to	to	ADP
easat-2753	146	11	hc	hc	PROPN
easat-2753	146	12	6	6	NUM
easat-2753	146	13	it	it	PRON
easat-2753	146	14	is	be	AUX
easat-2753	146	15	relatively	relatively	ADV
easat-2753	146	16	unstable	unstable	ADJ
easat-2753	146	17	than	than	ADP
easat-2753	146	18	non	non	ADJ
easat-2753	146	19	hc	hc	PROPN
easat-2753	146	20	it	it	PRON
easat-2753	146	21	is	be	AUX
easat-2753	146	22	a	a	DET
easat-2753	146	23	relatively	relatively	ADV
easat-2753	146	24	stable	stable	ADJ
easat-2753	146	25	technique	technique	NOUN
easat-2753	146	26	.	.	PUNCT
easat-2753	147	1	dou	dou	NOUN
easat-2753	147	2	to	to	ADP
easat-2753	147	3	differences	difference	NOUN
easat-2753	147	4	arise	arise	VERB
easat-2753	147	5	in	in	ADP
easat-2753	147	6	tabel	tabel	NOUN
easat-2753	147	7	(	(	PUNCT
easat-2753	147	8	1	1	NUM
easat-2753	147	9	)	)	PUNCT
easat-2753	147	10	,	,	PUNCT
easat-2753	147	11	hc	hc	PROPN
easat-2753	147	12	offers	offer	VERB
easat-2753	147	13	distinct	distinct	ADJ
easat-2753	147	14	advantages	advantage	NOUN
easat-2753	147	15	and	and	CCONJ
easat-2753	147	16	limitations	limitation	NOUN
easat-2753	147	17	compared	compare	VERB
easat-2753	147	18	to	to	ADP
easat-2753	147	19	non	non	ADJ
easat-2753	147	20	-	-	ADJ
easat-2753	147	21	hierarchical	hierarchical	ADJ
easat-2753	147	22	clustering	clustering	ADJ
easat-2753	147	23	methods	method	NOUN
easat-2753	147	24	in	in	ADP
easat-2753	147	25	real	real	ADJ
easat-2753	147	26	-	-	PUNCT
easat-2753	147	27	world	world	NOUN
easat-2753	147	28	applications	application	NOUN
easat-2753	147	29	.	.	PUNCT
easat-2753	148	1	one	one	NUM
easat-2753	148	2	of	of	ADP
easat-2753	148	3	the	the	DET
easat-2753	148	4	primary	primary	ADJ
easat-2753	148	5	benefits	benefit	NOUN
easat-2753	148	6	of	of	ADP
easat-2753	148	7	hc	hc	PROPN
easat-2753	148	8	is	be	AUX
easat-2753	148	9	its	its	PRON
easat-2753	148	10	ability	ability	NOUN
easat-2753	148	11	to	to	PART
easat-2753	148	12	create	create	VERB
easat-2753	148	13	a	a	DET
easat-2753	148	14	dendrogram	dendrogram	NOUN
easat-2753	148	15	,	,	PUNCT
easat-2753	148	16	which	which	PRON
easat-2753	148	17	allows	allow	VERB
easat-2753	148	18	users	user	NOUN
easat-2753	148	19	to	to	PART
easat-2753	148	20	visualize	visualize	VERB
easat-2753	148	21	and	and	CCONJ
easat-2753	148	22	select	select	VERB
easat-2753	148	23	an	an	DET
easat-2753	148	24	appropriate	appropriate	ADJ
easat-2753	148	25	number	number	NOUN
easat-2753	148	26	of	of	ADP
easat-2753	148	27	clusters	cluster	NOUN
easat-2753	148	28	(	(	PUNCT
easat-2753	148	29	k	k	NOUN
easat-2753	148	30	)	)	PUNCT
easat-2753	148	31	based	base	VERB
easat-2753	148	32	on	on	ADP
easat-2753	148	33	the	the	DET
easat-2753	148	34	data	datum	NOUN
easat-2753	148	35	's	's	PART
easat-2753	148	36	inherent	inherent	ADJ
easat-2753	148	37	structure	structure	NOUN
easat-2753	148	38	.	.	PUNCT
easat-2753	149	1	this	this	DET
easat-2753	149	2	flexibility	flexibility	NOUN
easat-2753	149	3	is	be	AUX
easat-2753	149	4	particularly	particularly	ADV
easat-2753	149	5	useful	useful	ADJ
easat-2753	149	6	in	in	ADP
easat-2753	149	7	domains	domain	NOUN
easat-2753	149	8	where	where	SCONJ
easat-2753	149	9	cluster	cluster	NOUN
easat-2753	149	10	hierarchies	hierarchy	NOUN
easat-2753	149	11	naturally	naturally	ADV
easat-2753	149	12	exist	exist	VERB
easat-2753	149	13	,	,	PUNCT
easat-2753	149	14	as	as	SCONJ
easat-2753	149	15	it	it	PRON
easat-2753	149	16	does	do	AUX
easat-2753	149	17	not	not	PART
easat-2753	149	18	require	require	VERB
easat-2753	149	19	prior	prior	ADJ
easat-2753	149	20	knowledge	knowledge	NOUN
easat-2753	149	21	of	of	ADP
easat-2753	149	22	the	the	DET
easat-2753	149	23	number	number	NOUN
easat-2753	149	24	of	of	ADP
easat-2753	149	25	classes	class	NOUN
easat-2753	149	26	present	present	ADJ
easat-2753	149	27	in	in	ADP
easat-2753	149	28	the	the	DET
easat-2753	149	29	dataset	dataset	NOUN
easat-2753	149	30	.	.	PUNCT
easat-2753	150	1	hc	hc	PROPN
easat-2753	150	2	is	be	AUX
easat-2753	150	3	applied	apply	VERB
easat-2753	150	4	in	in	ADP
easat-2753	150	5	analyzing	analyze	VERB
easat-2753	150	6	this	this	DET
easat-2753	150	7	research	research	NOUN
easat-2753	150	8	data	datum	NOUN
easat-2753	150	9	.	.	PUNCT
easat-2753	151	1	8	8	X
easat-2753	151	2	.	.	X
easat-2753	151	3	data	datum	NOUN
easat-2753	151	4	analysis	analysis	NOUN
easat-2753	151	5	and	and	CCONJ
easat-2753	151	6	presentation	presentation	NOUN
easat-2753	151	7	the	the	DET
easat-2753	151	8	data	datum	NOUN
easat-2753	151	9	was	be	AUX
easat-2753	151	10	collected	collect	VERB
easat-2753	151	11	through	through	ADP
easat-2753	151	12	the	the	DET
easat-2753	151	13	laboratories	laboratory	NOUN
easat-2753	151	14	of	of	ADP
easat-2753	151	15	the	the	DET
easat-2753	151	16	palestinian	palestinian	ADJ
easat-2753	151	17	water	water	NOUN
easat-2753	151	18	authority	authority	NOUN
easat-2753	151	19	in	in	ADP
easat-2753	151	20	the	the	DET
easat-2753	151	21	rafah	rafah	NOUN
easat-2753	151	22	for	for	ADP
easat-2753	151	23	year	year	NOUN
easat-2753	151	24	2020	2020	NUM
easat-2753	151	25	.	.	PUNCT
easat-2753	152	1	it	it	PRON
easat-2753	152	2	is	be	AUX
easat-2753	152	3	subjected	subject	VERB
easat-2753	152	4	to	to	ADP
easat-2753	152	5	chemical	chemical	ADJ
easat-2753	152	6	analysis	analysis	NOUN
easat-2753	152	7	and	and	CCONJ
easat-2753	152	8	registration	registration	NOUN
easat-2753	152	9	of	of	ADP
easat-2753	152	10	several	several	ADJ
easat-2753	152	11	chemical	chemical	NOUN
easat-2753	152	12	compounds	compound	NOUN
easat-2753	152	13	.	.	PUNCT
easat-2753	153	1	this	this	DET
easat-2753	153	2	study	study	NOUN
easat-2753	153	3	concern	concern	NOUN
easat-2753	153	4	with	with	ADP
easat-2753	153	5	three	three	NUM
easat-2753	153	6	chemical	chemical	ADJ
easat-2753	153	7	components	component	NOUN
easat-2753	153	8	:	:	PUNCT
easat-2753	153	9	chloride	chloride	NOUN
easat-2753	153	10	,	,	PUNCT
easat-2753	153	11	nitrate	nitrate	NOUN
easat-2753	153	12	,	,	PUNCT
easat-2753	153	13	and	and	CCONJ
easat-2753	153	14	total	total	ADJ
easat-2753	153	15	dissolved	dissolved	ADJ
easat-2753	153	16	solids	solid	NOUN
easat-2753	153	17	(	(	PUNCT
easat-2753	153	18	tds	tds	PROPN
easat-2753	153	19	)	)	PUNCT
easat-2753	153	20	.	.	PUNCT
easat-2753	154	1	3547	3547	NUM
easat-2753	154	2	edelweiss	edelweiss	PROPN
easat-2753	154	3	applied	apply	VERB
easat-2753	154	4	science	science	NOUN
easat-2753	154	5	and	and	CCONJ
easat-2753	154	6	technology	technology	NOUN
easat-2753	154	7	issn	issn	PROPN
easat-2753	154	8	:	:	PUNCT
easat-2753	154	9	2576	2576	NUM
easat-2753	154	10	-	-	SYM
easat-2753	154	11	8484	8484	NUM
easat-2753	154	12	vol	vol	NOUN
easat-2753	154	13	.	.	PROPN
easat-2753	154	14	8	8	NUM
easat-2753	154	15	,	,	PUNCT
easat-2753	154	16	no	no	INTJ
easat-2753	154	17	.	.	NOUN
easat-2753	155	1	6	6	NUM
easat-2753	155	2	:	:	SYM
easat-2753	155	3	3542	3542	NUM
easat-2753	155	4	-	-	SYM
easat-2753	155	5	3555	3555	NUM
easat-2753	155	6	,	,	PUNCT
easat-2753	155	7	2024	2024	NUM
easat-2753	155	8	doi	doi	NOUN
easat-2753	155	9	:	:	PUNCT
easat-2753	155	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	155	11	©	©	PROPN
easat-2753	155	12	2024	2024	NUM
easat-2753	155	13	by	by	ADP
easat-2753	155	14	the	the	DET
easat-2753	155	15	authors	author	NOUN
easat-2753	155	16	;	;	PUNCT
easat-2753	155	17	licensee	licensee	PROPN
easat-2753	155	18	learning	learn	VERB
easat-2753	155	19	gate	gate	NOUN
easat-2753	155	20	chloride	chloride	PROPN
easat-2753	155	21	exists	exist	VERB
easat-2753	155	22	in	in	ADP
easat-2753	155	23	all	all	DET
easat-2753	155	24	natural	natural	ADJ
easat-2753	155	25	waters	water	NOUN
easat-2753	155	26	with	with	ADP
easat-2753	155	27	widely	widely	ADV
easat-2753	155	28	varying	vary	VERB
easat-2753	155	29	concentrations	concentration	NOUN
easat-2753	155	30	reaching	reach	VERB
easat-2753	155	31	a	a	DET
easat-2753	155	32	maximum	maximum	NOUN
easat-2753	155	33	in	in	ADP
easat-2753	155	34	seawater	seawater	NOUN
easat-2753	155	35	up	up	ADP
easat-2753	155	36	to	to	ADP
easat-2753	155	37	35,000	35,000	NUM
easat-2753	155	38	mg	mg	PROPN
easat-2753	155	39	/	/	SYM
easat-2753	155	40	l.	l.	NOUN
easat-2753	155	41	in	in	ADP
easat-2753	155	42	fresh	fresh	ADJ
easat-2753	155	43	waters	water	NOUN
easat-2753	155	44	,	,	PUNCT
easat-2753	155	45	the	the	DET
easat-2753	155	46	sources	source	NOUN
easat-2753	155	47	include	include	VERB
easat-2753	155	48	soil	soil	NOUN
easat-2753	155	49	and	and	CCONJ
easat-2753	155	50	rock	rock	NOUN
easat-2753	155	51	formations	formation	NOUN
easat-2753	155	52	,	,	PUNCT
easat-2753	155	53	sea	sea	NOUN
easat-2753	155	54	spray	spray	NOUN
easat-2753	155	55	,	,	PUNCT
easat-2753	155	56	and	and	CCONJ
easat-2753	155	57	waste	waste	NOUN
easat-2753	155	58	discharges	discharge	NOUN
easat-2753	155	59	.	.	PUNCT
easat-2753	156	1	sewage	sewage	NOUN
easat-2753	156	2	contains	contain	VERB
easat-2753	156	3	large	large	ADJ
easat-2753	156	4	amounts	amount	NOUN
easat-2753	156	5	of	of	ADP
easat-2753	156	6	chloride	chloride	NOUN
easat-2753	156	7	,	,	PUNCT
easat-2753	156	8	as	as	SCONJ
easat-2753	156	9	do	do	VERB
easat-2753	156	10	some	some	DET
easat-2753	156	11	industrial	industrial	ADJ
easat-2753	156	12	effluents	effluent	NOUN
easat-2753	156	13	as	as	SCONJ
easat-2753	156	14	shown	show	VERB
easat-2753	156	15	in	in	ADP
easat-2753	156	16	table	table	NOUN
easat-2753	156	17	2	2	NUM
easat-2753	156	18	.	.	PUNCT
easat-2753	156	19	table	table	NOUN
easat-2753	156	20	2	2	NUM
easat-2753	156	21	.	.	PUNCT
easat-2753	156	22	classification	classification	NOUN
easat-2753	156	23	of	of	ADP
easat-2753	156	24	water	water	NOUN
easat-2753	156	25	based	base	VERB
easat-2753	156	26	(	(	PUNCT
easat-2753	156	27	chloride	chloride	NOUN
easat-2753	156	28	)	)	PUNCT
easat-2753	156	29	in	in	ADP
easat-2753	156	30	mg	mg	PROPN
easat-2753	156	31	/	/	SYM
easat-2753	156	32	l	l	NOUN
easat-2753	156	33	.	.	PUNCT
easat-2753	157	1	water	water	NOUN
easat-2753	157	2	class	class	NOUN
easat-2753	157	3	/	/	PUNCT
easat-2753	157	4	using	use	VERB
easat-2753	157	5	unit	unit	NOUN
easat-2753	157	6	guideline	guideline	NOUN
easat-2753	157	7	before	before	ADP
easat-2753	157	8	transform	transform	VERB
easat-2753	157	9	guideline	guideline	NOUN
easat-2753	157	10	after	after	ADP
easat-2753	157	11	transform	transform	VERB
easat-2753	157	12	accepted	accept	VERB
easat-2753	157	13	/	/	SYM
easat-2753	157	14	human	human	ADJ
easat-2753	157	15	,	,	PUNCT
easat-2753	157	16	agricultural	agricultural	ADJ
easat-2753	157	17	mg	mg	PROPN
easat-2753	157	18	/	/	SYM
easat-2753	157	19	l	l	NOUN
easat-2753	157	20	less	less	ADJ
easat-2753	157	21	than	than	ADP
easat-2753	157	22	300	300	NUM
easat-2753	157	23	less	less	ADJ
easat-2753	157	24	than	than	ADP
easat-2753	157	25	2.477	2.477	NUM
easat-2753	157	26	not	not	PART
easat-2753	157	27	accepted	accept	VERB
easat-2753	157	28	mg	mg	PROPN
easat-2753	157	29	/	/	SYM
easat-2753	157	30	l	l	NOUN
easat-2753	157	31	over	over	ADP
easat-2753	157	32	than	than	ADP
easat-2753	157	33	300	300	NUM
easat-2753	157	34	over	over	ADP
easat-2753	157	35	than	than	ADP
easat-2753	157	36	2.477	2.477	NUM
easat-2753	157	37	source	source	NOUN
easat-2753	157	38	:	:	PUNCT
easat-2753	157	39	who	who	PRON
easat-2753	157	40	(	(	PUNCT
easat-2753	157	41	1996	1996	NUM
easat-2753	157	42	)	)	PUNCT
easat-2753	157	43	.	.	PUNCT
easat-2753	158	1	nitrates	nitrate	NOUN
easat-2753	158	2	are	be	AUX
easat-2753	158	3	naturally	naturally	ADV
easat-2753	158	4	occurring	occur	VERB
easat-2753	158	5	ions	ion	NOUN
easat-2753	158	6	(	(	PUNCT
easat-2753	158	7	no3	no3	NOUN
easat-2753	158	8	)	)	PUNCT
easat-2753	158	9	that	that	PRON
easat-2753	158	10	are	be	AUX
easat-2753	158	11	part	part	NOUN
easat-2753	158	12	of	of	ADP
easat-2753	158	13	the	the	DET
easat-2753	158	14	nitrogen	nitrogen	NOUN
easat-2753	158	15	cycle	cycle	NOUN
easat-2753	158	16	.	.	PUNCT
easat-2753	159	1	this	this	DET
easat-2753	159	2	ion	ion	NOUN
easat-2753	159	3	is	be	AUX
easat-2753	159	4	stable	stable	ADJ
easat-2753	159	5	form	form	NOUN
easat-2753	159	6	of	of	ADP
easat-2753	159	7	combined	combined	ADJ
easat-2753	159	8	nitrogen	nitrogen	NOUN
easat-2753	159	9	for	for	ADP
easat-2753	159	10	oxygenated	oxygenated	ADJ
easat-2753	159	11	systems	system	NOUN
easat-2753	159	12	,	,	PUNCT
easat-2753	159	13	chemically	chemically	ADV
easat-2753	159	14	unreactive	unreactive	ADJ
easat-2753	159	15	,	,	PUNCT
easat-2753	159	16	and	and	CCONJ
easat-2753	159	17	can	can	AUX
easat-2753	159	18	be	be	AUX
easat-2753	159	19	reduced	reduce	VERB
easat-2753	159	20	by	by	ADP
easat-2753	159	21	microbial	microbial	ADJ
easat-2753	159	22	action	action	NOUN
easat-2753	159	23	.	.	PUNCT
easat-2753	160	1	the	the	DET
easat-2753	160	2	nitrite	nitrite	NOUN
easat-2753	160	3	ion	ion	NOUN
easat-2753	160	4	(	(	PUNCT
easat-2753	160	5	no2	no2	NOUN
easat-2753	160	6	)	)	PUNCT
easat-2753	160	7	contains	contain	VERB
easat-2753	160	8	nitrogen	nitrogen	NOUN
easat-2753	160	9	in	in	ADP
easat-2753	160	10	a	a	DET
easat-2753	160	11	relatively	relatively	ADV
easat-2753	160	12	unstable	unstable	ADJ
easat-2753	160	13	oxidation	oxidation	NOUN
easat-2753	160	14	state	state	NOUN
easat-2753	160	15	.	.	PUNCT
easat-2753	161	1	chemical	chemical	NOUN
easat-2753	161	2	and	and	CCONJ
easat-2753	161	3	biological	biological	ADJ
easat-2753	161	4	processes	process	NOUN
easat-2753	161	5	can	can	AUX
easat-2753	161	6	further	far	ADV
easat-2753	161	7	reduce	reduce	VERB
easat-2753	161	8	nitrite	nitrite	NOUN
easat-2753	161	9	to	to	ADP
easat-2753	161	10	various	various	ADJ
easat-2753	161	11	compounds	compound	NOUN
easat-2753	161	12	or	or	CCONJ
easat-2753	161	13	oxidize	oxidize	VERB
easat-2753	161	14	it	it	PRON
easat-2753	161	15	to	to	PART
easat-2753	161	16	nitrate	nitrate	VERB
easat-2753	161	17	as	as	SCONJ
easat-2753	161	18	shown	show	VERB
easat-2753	161	19	in	in	ADP
easat-2753	161	20	table	table	NOUN
easat-2753	161	21	3	3	NUM
easat-2753	161	22	.	.	PUNCT
easat-2753	161	23	table	table	NOUN
easat-2753	161	24	3	3	NUM
easat-2753	161	25	.	.	PUNCT
easat-2753	161	26	classification	classification	NOUN
easat-2753	161	27	of	of	ADP
easat-2753	161	28	water	water	NOUN
easat-2753	161	29	based	base	VERB
easat-2753	161	30	(	(	PUNCT
easat-2753	161	31	nitrate	nitrate	NOUN
easat-2753	161	32	)	)	PUNCT
easat-2753	161	33	in	in	ADP
easat-2753	161	34	mg	mg	PROPN
easat-2753	161	35	/	/	SYM
easat-2753	161	36	l	l	NOUN
easat-2753	161	37	.	.	PUNCT
easat-2753	162	1	water	water	NOUN
easat-2753	162	2	class	class	NOUN
easat-2753	162	3	/	/	PUNCT
easat-2753	162	4	using	use	VERB
easat-2753	162	5	unit	unit	NOUN
easat-2753	162	6	guideline	guideline	NOUN
easat-2753	162	7	before	before	ADP
easat-2753	162	8	transform	transform	VERB
easat-2753	162	9	guideline	guideline	NOUN
easat-2753	162	10	after	after	ADP
easat-2753	162	11	transform	transform	NOUN
easat-2753	162	12	accept	accept	VERB
easat-2753	162	13	/human	/human	NOUN
easat-2753	162	14	mg	mg	PROPN
easat-2753	162	15	/	/	SYM
easat-2753	162	16	l	l	NOUN
easat-2753	162	17	less	less	ADJ
easat-2753	162	18	than	than	ADP
easat-2753	162	19	50	50	NUM
easat-2753	162	20	less	less	ADJ
easat-2753	162	21	than	than	ADP
easat-2753	162	22	1.698	1.698	NUM
easat-2753	162	23	accepted	accept	VERB
easat-2753	162	24	/	/	SYM
easat-2753	162	25	agricultural	agricultural	ADJ
easat-2753	162	26	mg	mg	PROPN
easat-2753	162	27	/	/	SYM
easat-2753	162	28	l	l	NOUN
easat-2753	163	1	50	50	NUM
easat-2753	163	2	-100	-100	NUM
easat-2753	163	3	1.698	1.698	NUM
easat-2753	163	4	-2	-2	PUNCT
easat-2753	163	5	not	not	PART
easat-2753	163	6	accepted	accept	VERB
easat-2753	163	7	mg	mg	PROPN
easat-2753	163	8	/	/	SYM
easat-2753	163	9	l	l	NOUN
easat-2753	163	10	over	over	ADP
easat-2753	163	11	100	100	NUM
easat-2753	163	12	over	over	ADP
easat-2753	163	13	2	2	NUM
easat-2753	163	14	source	source	NOUN
easat-2753	163	15	:	:	PUNCT
easat-2753	163	16	who	who	PRON
easat-2753	163	17	(	(	PUNCT
easat-2753	163	18	2007	2007	NUM
easat-2753	163	19	)	)	PUNCT
easat-2753	163	20	.	.	PUNCT
easat-2753	164	1	total	total	ADJ
easat-2753	164	2	dissolved	dissolve	VERB
easat-2753	164	3	solids	solid	NOUN
easat-2753	164	4	(	(	PUNCT
easat-2753	164	5	tds	tds	PROPN
easat-2753	164	6	)	)	PUNCT
easat-2753	164	7	used	use	VERB
easat-2753	164	8	to	to	PART
easat-2753	164	9	describe	describe	VERB
easat-2753	164	10	the	the	DET
easat-2753	164	11	inorganic	inorganic	ADJ
easat-2753	164	12	salts	salt	NOUN
easat-2753	164	13	and	and	CCONJ
easat-2753	164	14	small	small	ADJ
easat-2753	164	15	amounts	amount	NOUN
easat-2753	164	16	of	of	ADP
easat-2753	164	17	organic	organic	ADJ
easat-2753	164	18	matter	matter	NOUN
easat-2753	164	19	present	present	ADJ
easat-2753	164	20	in	in	ADP
easat-2753	164	21	solution	solution	NOUN
easat-2753	164	22	in	in	ADP
easat-2753	164	23	water	water	NOUN
easat-2753	164	24	.	.	PUNCT
easat-2753	165	1	the	the	DET
easat-2753	165	2	principal	principal	ADJ
easat-2753	165	3	constituents	constituent	NOUN
easat-2753	165	4	are	be	AUX
easat-2753	165	5	usually	usually	ADV
easat-2753	165	6	calcium	calcium	NOUN
easat-2753	165	7	,	,	PUNCT
easat-2753	165	8	magnesium	magnesium	NOUN
easat-2753	165	9	,	,	PUNCT
easat-2753	165	10	sodium	sodium	NOUN
easat-2753	165	11	,	,	PUNCT
easat-2753	165	12	and	and	CCONJ
easat-2753	165	13	potassium	potassium	NOUN
easat-2753	165	14	cations	cation	NOUN
easat-2753	165	15	and	and	CCONJ
easat-2753	165	16	carbonate	carbonate	NOUN
easat-2753	165	17	,	,	PUNCT
easat-2753	165	18	chloride	chloride	NOUN
easat-2753	165	19	,	,	PUNCT
easat-2753	165	20	sulfate	sulfate	NOUN
easat-2753	165	21	,	,	PUNCT
easat-2753	165	22	and	and	CCONJ
easat-2753	165	23	nitrate	nitrate	NOUN
easat-2753	165	24	anions	anion	NOUN
easat-2753	165	25	as	as	SCONJ
easat-2753	165	26	shown	show	VERB
easat-2753	165	27	in	in	ADP
easat-2753	165	28	table	table	NOUN
easat-2753	165	29	4	4	NUM
easat-2753	165	30	.	.	PUNCT
easat-2753	165	31	table	table	NOUN
easat-2753	165	32	4	4	NUM
easat-2753	165	33	.	.	PUNCT
easat-2753	166	1	classification	classification	NOUN
easat-2753	166	2	of	of	ADP
easat-2753	166	3	water	water	NOUN
easat-2753	166	4	based	base	VERB
easat-2753	166	5	on	on	ADP
easat-2753	166	6	(	(	PUNCT
easat-2753	166	7	tds	tds	PROPN
easat-2753	166	8	)	)	PUNCT
easat-2753	166	9	in	in	ADP
easat-2753	166	10	mg	mg	PROPN
easat-2753	166	11	/	/	SYM
easat-2753	166	12	l.	l.	PROPN
easat-2753	166	13	water	water	PROPN
easat-2753	166	14	class	class	NOUN
easat-2753	166	15	/	/	PUNCT
easat-2753	166	16	using	use	VERB
easat-2753	166	17	unit	unit	NOUN
easat-2753	166	18	guideline	guideline	NOUN
easat-2753	166	19	before	before	ADP
easat-2753	166	20	transform	transform	VERB
easat-2753	166	21	guideline	guideline	NOUN
easat-2753	166	22	after	after	ADP
easat-2753	166	23	transform	transform	NOUN
easat-2753	166	24	accepted	accept	VERB
easat-2753	166	25	/	/	SYM
easat-2753	166	26	human	human	ADJ
easat-2753	166	27	mg	mg	PROPN
easat-2753	166	28	/	/	SYM
easat-2753	166	29	l	l	NOUN
easat-2753	166	30	less	less	ADJ
easat-2753	166	31	than	than	ADP
easat-2753	166	32	1000	1000	NUM
easat-2753	166	33	less	less	ADJ
easat-2753	166	34	than	than	ADP
easat-2753	166	35	3	3	NUM
easat-2753	166	36	accepted	accept	VERB
easat-2753	166	37	/	/	SYM
easat-2753	166	38	agricultural	agricultural	ADJ
easat-2753	166	39	mg	mg	PROPN
easat-2753	166	40	/	/	SYM
easat-2753	166	41	l	l	NOUN
easat-2753	166	42	1000	1000	NUM
easat-2753	166	43	–	–	PUNCT
easat-2753	166	44	3000	3000	NUM
easat-2753	166	45	3	3	NUM
easat-2753	166	46	-	-	SYM
easat-2753	166	47	3.477121	3.477121	NUM
easat-2753	166	48	not	not	PART
easat-2753	166	49	accepted	accept	VERB
easat-2753	166	50	mg	mg	PROPN
easat-2753	166	51	/	/	SYM
easat-2753	166	52	l	l	NOUN
easat-2753	166	53	over	over	ADP
easat-2753	166	54	3000	3000	NUM
easat-2753	166	55	over	over	ADP
easat-2753	166	56	3.4771	3.4771	NUM
easat-2753	166	57	source	source	NOUN
easat-2753	166	58	:	:	PUNCT
easat-2753	166	59	who	who	PRON
easat-2753	166	60	(	(	PUNCT
easat-2753	166	61	2007	2007	NUM
easat-2753	166	62	)	)	PUNCT
easat-2753	166	63	.	.	PUNCT
easat-2753	167	1	to	to	PART
easat-2753	167	2	perform	perform	VERB
easat-2753	167	3	our	our	PRON
easat-2753	167	4	data	datum	NOUN
easat-2753	167	5	analysis	analysis	NOUN
easat-2753	167	6	,	,	PUNCT
easat-2753	167	7	many	many	ADJ
easat-2753	167	8	statistical	statistical	ADJ
easat-2753	167	9	procedures	procedure	NOUN
easat-2753	167	10	assume	assume	VERB
easat-2753	167	11	that	that	SCONJ
easat-2753	167	12	the	the	DET
easat-2753	167	13	variables	variable	NOUN
easat-2753	167	14	are	be	AUX
easat-2753	167	15	normally	normally	ADV
easat-2753	167	16	distributed	distribute	VERB
easat-2753	167	17	.	.	PUNCT
easat-2753	168	1	a	a	DET
easat-2753	168	2	significant	significant	ADJ
easat-2753	168	3	violation	violation	NOUN
easat-2753	168	4	of	of	ADP
easat-2753	168	5	the	the	DET
easat-2753	168	6	assumption	assumption	NOUN
easat-2753	168	7	of	of	ADP
easat-2753	168	8	normality	normality	NOUN
easat-2753	168	9	can	can	AUX
easat-2753	168	10	seriously	seriously	ADV
easat-2753	168	11	increase	increase	VERB
easat-2753	168	12	the	the	DET
easat-2753	168	13	chances	chance	NOUN
easat-2753	168	14	of	of	ADP
easat-2753	168	15	the	the	DET
easat-2753	168	16	researcher	researcher	NOUN
easat-2753	168	17	committing	commit	VERB
easat-2753	168	18	either	either	CCONJ
easat-2753	168	19	a	a	DET
easat-2753	168	20	type	type	NOUN
easat-2753	168	21	i	i	PRON
easat-2753	168	22	or	or	CCONJ
easat-2753	168	23	ii	ii	NUM
easat-2753	168	24	error	error	NOUN
easat-2753	168	25	(	(	PUNCT
easat-2753	168	26	depending	depend	VERB
easat-2753	168	27	on	on	ADP
easat-2753	168	28	the	the	DET
easat-2753	168	29	nature	nature	NOUN
easat-2753	168	30	of	of	ADP
easat-2753	168	31	the	the	DET
easat-2753	168	32	analysis	analysis	NOUN
easat-2753	168	33	and	and	CCONJ
easat-2753	168	34	the	the	DET
easat-2753	168	35	non	non	ADJ
easat-2753	168	36	-	-	NOUN
easat-2753	168	37	normality	normality	NOUN
easat-2753	168	38	)	)	PUNCT
easat-2753	168	39	.	.	PUNCT
easat-2753	169	1	however	however	ADV
easat-2753	169	2	,	,	PUNCT
easat-2753	169	3	micceri	micceri	PROPN
easat-2753	169	4	(	(	PUNCT
easat-2753	169	5	1989	1989	NUM
easat-2753	169	6	)	)	PUNCT
easat-2753	169	7	points	point	VERB
easat-2753	169	8	out	out	ADP
easat-2753	169	9	that	that	SCONJ
easat-2753	169	10	true	true	ADJ
easat-2753	169	11	normality	normality	NOUN
easat-2753	169	12	is	be	AUX
easat-2753	169	13	exceedingly	exceedingly	ADV
easat-2753	169	14	rare	rare	ADJ
easat-2753	169	15	in	in	ADP
easat-2753	169	16	education	education	NOUN
easat-2753	169	17	and	and	CCONJ
easat-2753	169	18	psychology	psychology	NOUN
easat-2753	169	19	.	.	PUNCT
easat-2753	170	1	thus	thus	ADV
easat-2753	170	2	,	,	PUNCT
easat-2753	170	3	one	one	NUM
easat-2753	170	4	reason	reason	NOUN
easat-2753	170	5	(	(	PUNCT
easat-2753	170	6	although	although	SCONJ
easat-2753	170	7	not	not	PART
easat-2753	170	8	the	the	DET
easat-2753	170	9	only	only	ADJ
easat-2753	170	10	reason	reason	NOUN
easat-2753	170	11	)	)	PUNCT
easat-2753	170	12	researchers	researcher	NOUN
easat-2753	170	13	utilize	utilize	VERB
easat-2753	170	14	data	datum	NOUN
easat-2753	170	15	transformations	transformation	NOUN
easat-2753	170	16	is	be	AUX
easat-2753	170	17	to	to	PART
easat-2753	170	18	improve	improve	VERB
easat-2753	170	19	the	the	DET
easat-2753	170	20	normality	normality	NOUN
easat-2753	170	21	of	of	ADP
easat-2753	170	22	variables	variable	NOUN
easat-2753	170	23	.	.	PUNCT
easat-2753	171	1	there	there	PRON
easat-2753	171	2	are	be	VERB
easat-2753	171	3	multiple	multiple	ADJ
easat-2753	171	4	options	option	NOUN
easat-2753	171	5	for	for	ADP
easat-2753	171	6	dealing	deal	VERB
easat-2753	171	7	with	with	ADP
easat-2753	171	8	non	non	ADJ
easat-2753	171	9	-	-	ADJ
easat-2753	171	10	normal	normal	ADJ
easat-2753	171	11	data	datum	NOUN
easat-2753	171	12	.	.	PUNCT
easat-2753	172	1	first	first	ADV
easat-2753	172	2	,	,	PUNCT
easat-2753	172	3	the	the	DET
easat-2753	172	4	researcher	researcher	NOUN
easat-2753	172	5	must	must	AUX
easat-2753	172	6	make	make	VERB
easat-2753	172	7	certain	certain	ADJ
easat-2753	172	8	that	that	SCONJ
easat-2753	172	9	the	the	DET
easat-2753	172	10	non	non	ADJ
easat-2753	172	11	-	-	ADJ
easat-2753	172	12	normality	normality	NOUN
easat-2753	172	13	is	be	AUX
easat-2753	172	14	due	due	ADJ
easat-2753	172	15	to	to	ADP
easat-2753	172	16	a	a	DET
easat-2753	172	17	valid	valid	ADJ
easat-2753	172	18	reason	reason	NOUN
easat-2753	172	19	(	(	PUNCT
easat-2753	172	20	real	real	ADV
easat-2753	172	21	observed	observe	VERB
easat-2753	172	22	data	data	NOUN
easat-2753	172	23	points	point	NOUN
easat-2753	172	24	)	)	PUNCT
easat-2753	172	25	.	.	PUNCT
easat-2753	173	1	invalid	invalid	ADJ
easat-2753	173	2	reasons	reason	NOUN
easat-2753	173	3	for	for	ADP
easat-2753	173	4	non	non	ADJ
easat-2753	173	5	-	-	ADJ
easat-2753	173	6	normality	normality	ADJ
easat-2753	173	7	includes	include	VERB
easat-2753	173	8	mistakes	mistake	NOUN
easat-2753	173	9	in	in	ADP
easat-2753	173	10	data	datum	NOUN
easat-2753	173	11	entry	entry	NOUN
easat-2753	173	12	or	or	CCONJ
easat-2753	173	13	missing	miss	VERB
easat-2753	173	14	data	data	NOUN
easat-2753	173	15	values	value	NOUN
easat-2753	173	16	not	not	PART
easat-2753	173	17	declared	declare	VERB
easat-2753	173	18	missing	missing	ADJ
easat-2753	173	19	.	.	PUNCT
easat-2753	174	1	however	however	ADV
easat-2753	174	2	,	,	PUNCT
easat-2753	174	3	not	not	PART
easat-2753	174	4	all	all	DET
easat-2753	174	5	non	non	ADJ
easat-2753	174	6	-	-	ADJ
easat-2753	174	7	normality	normality	ADJ
easat-2753	174	8	is	be	AUX
easat-2753	174	9	due	due	ADJ
easat-2753	174	10	to	to	ADP
easat-2753	174	11	data	datum	NOUN
easat-2753	174	12	entry	entry	NOUN
easat-2753	174	13	error	error	NOUN
easat-2753	174	14	or	or	CCONJ
easat-2753	174	15	non	non	ADJ
easat-2753	174	16	-	-	ADJ
easat-2753	174	17	declared	declare	VERB
easat-2753	174	18	missing	missing	ADJ
easat-2753	174	19	values	value	NOUN
easat-2753	174	20	.	.	PUNCT
easat-2753	175	1	two	two	NUM
easat-2753	175	2	other	other	ADJ
easat-2753	175	3	reasons	reason	NOUN
easat-2753	175	4	for	for	ADP
easat-2753	175	5	non	non	ADJ
easat-2753	175	6	-	-	ADJ
easat-2753	175	7	normality	normality	ADJ
easat-2753	175	8	are	be	AUX
easat-2753	175	9	the	the	DET
easat-2753	175	10	presence	presence	NOUN
easat-2753	175	11	of	of	ADP
easat-2753	175	12	outliers	outlier	NOUN
easat-2753	175	13	(	(	PUNCT
easat-2753	175	14	scores	score	NOUN
easat-2753	175	15	that	that	PRON
easat-2753	175	16	are	be	AUX
easat-2753	175	17	extreme	extreme	ADJ
easat-2753	175	18	relative	relative	ADJ
easat-2753	175	19	to	to	ADP
easat-2753	175	20	the	the	DET
easat-2753	175	21	rest	rest	NOUN
easat-2753	175	22	of	of	ADP
easat-2753	175	23	the	the	DET
easat-2753	175	24	sample	sample	NOUN
easat-2753	175	25	)	)	PUNCT
easat-2753	175	26	and	and	CCONJ
easat-2753	175	27	the	the	DET
easat-2753	175	28	nature	nature	NOUN
easat-2753	175	29	of	of	ADP
easat-2753	175	30	the	the	DET
easat-2753	175	31	variable	variable	NOUN
easat-2753	175	32	itself	itself	PRON
easat-2753	175	33	.	.	PUNCT
easat-2753	176	1	there	there	PRON
easat-2753	176	2	is	be	VERB
easat-2753	176	3	great	great	ADJ
easat-2753	176	4	debate	debate	NOUN
easat-2753	176	5	in	in	ADP
easat-2753	176	6	science	science	NOUN
easat-2753	176	7	about	about	ADP
easat-2753	176	8	whether	whether	SCONJ
easat-2753	176	9	outliers	outlier	NOUN
easat-2753	176	10	should	should	AUX
easat-2753	176	11	be	be	AUX
easat-2753	176	12	removed	remove	VERB
easat-2753	176	13	or	or	CCONJ
easat-2753	176	14	not	not	PART
easat-2753	176	15	.	.	PUNCT
easat-2753	177	1	3548	3548	NUM
easat-2753	177	2	edelweiss	edelweiss	PROPN
easat-2753	177	3	applied	apply	VERB
easat-2753	177	4	science	science	NOUN
easat-2753	177	5	and	and	CCONJ
easat-2753	177	6	technology	technology	NOUN
easat-2753	177	7	issn	issn	PROPN
easat-2753	177	8	:	:	PUNCT
easat-2753	177	9	2576	2576	NUM
easat-2753	177	10	-	-	SYM
easat-2753	177	11	8484	8484	NUM
easat-2753	177	12	vol	vol	NOUN
easat-2753	177	13	.	.	PROPN
easat-2753	177	14	8	8	NUM
easat-2753	177	15	,	,	PUNCT
easat-2753	177	16	no	no	INTJ
easat-2753	177	17	.	.	NOUN
easat-2753	178	1	6	6	NUM
easat-2753	178	2	:	:	SYM
easat-2753	178	3	3542	3542	NUM
easat-2753	178	4	-	-	SYM
easat-2753	178	5	3555	3555	NUM
easat-2753	178	6	,	,	PUNCT
easat-2753	178	7	2024	2024	NUM
easat-2753	178	8	doi	doi	NOUN
easat-2753	178	9	:	:	PUNCT
easat-2753	178	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	178	11	©	©	PROPN
easat-2753	178	12	2024	2024	NUM
easat-2753	178	13	by	by	ADP
easat-2753	178	14	the	the	DET
easat-2753	178	15	authors	author	NOUN
easat-2753	178	16	;	;	PUNCT
easat-2753	178	17	licensee	licensee	PROPN
easat-2753	178	18	learning	learning	NOUN
easat-2753	178	19	gate	gate	VERB
easat-2753	178	20	the	the	DET
easat-2753	178	21	normality	normality	NOUN
easat-2753	178	22	test	test	NOUN
easat-2753	178	23	for	for	ADP
easat-2753	178	24	the	the	DET
easat-2753	178	25	water	water	NOUN
easat-2753	178	26	wells	wells	PROPN
easat-2753	178	27	data	data	PROPN
easat-2753	178	28	in	in	ADP
easat-2753	178	29	rafah	rafah	NOUN
easat-2753	178	30	(	(	PUNCT
easat-2753	178	31	2020	2020	NUM
easat-2753	178	32	)	)	PUNCT
easat-2753	178	33	was	be	AUX
easat-2753	178	34	conducted	conduct	VERB
easat-2753	178	35	using	use	VERB
easat-2753	178	36	the	the	DET
easat-2753	178	37	kolmogorovsmirnov	kolmogorovsmirnov	NOUN
easat-2753	178	38	test	test	NOUN
easat-2753	178	39	,	,	PUNCT
easat-2753	178	40	revealing	reveal	VERB
easat-2753	178	41	a	a	DET
easat-2753	178	42	p	p	ADJ
easat-2753	178	43	-	-	PUNCT
easat-2753	178	44	value	value	NOUN
easat-2753	178	45	greater	great	ADJ
easat-2753	178	46	than	than	ADP
easat-2753	178	47	0.05	0.05	NUM
easat-2753	178	48	after	after	ADP
easat-2753	178	49	data	data	NOUN
easat-2753	178	50	transformation	transformation	NOUN
easat-2753	178	51	,	,	PUNCT
easat-2753	178	52	indicating	indicate	VERB
easat-2753	178	53	that	that	SCONJ
easat-2753	178	54	the	the	DET
easat-2753	178	55	data	datum	NOUN
easat-2753	178	56	conforms	conform	VERB
easat-2753	178	57	to	to	ADP
easat-2753	178	58	a	a	DET
easat-2753	178	59	normal	normal	ADJ
easat-2753	178	60	distribution	distribution	NOUN
easat-2753	178	61	.	.	PUNCT
easat-2753	179	1	consequently	consequently	ADV
easat-2753	179	2	,	,	PUNCT
easat-2753	179	3	this	this	PRON
easat-2753	179	4	allows	allow	VERB
easat-2753	179	5	for	for	ADP
easat-2753	179	6	the	the	DET
easat-2753	179	7	application	application	NOUN
easat-2753	179	8	of	of	ADP
easat-2753	179	9	parametric	parametric	ADJ
easat-2753	179	10	tests	test	NOUN
easat-2753	179	11	,	,	PUNCT
easat-2753	179	12	which	which	PRON
easat-2753	179	13	assume	assume	VERB
easat-2753	179	14	the	the	DET
easat-2753	179	15	data	datum	NOUN
easat-2753	179	16	follows	follow	VERB
easat-2753	179	17	a	a	DET
easat-2753	179	18	specific	specific	ADJ
easat-2753	179	19	distribution	distribution	NOUN
easat-2753	179	20	.	.	PUNCT
easat-2753	180	1	table	table	NOUN
easat-2753	180	2	5	5	NUM
easat-2753	180	3	.	.	PUNCT
easat-2753	180	4	test	test	NOUN
easat-2753	180	5	of	of	ADP
easat-2753	180	6	normality	normality	NOUN
easat-2753	180	7	(	(	PUNCT
easat-2753	180	8	kolmogorov	kolmogorov	ADJ
easat-2753	180	9	-	-	PUNCT
easat-2753	180	10	smirnov	smirnov	NOUN
easat-2753	180	11	)	)	PUNCT
easat-2753	180	12	.	.	PUNCT
easat-2753	181	1	process	process	NOUN
easat-2753	181	2	variables	variable	NOUN
easat-2753	181	3	kolmogorov	kolmogorov	ADJ
easat-2753	181	4	-	-	PUNCT
easat-2753	181	5	smirnov	smirnov	PROPN
easat-2753	181	6	z	z	X
easat-2753	181	7	p	p	ADJ
easat-2753	181	8	-	-	PUNCT
easat-2753	181	9	value	value	NOUN
easat-2753	181	10	decision	decision	NOUN
easat-2753	181	11	before	before	ADP
easat-2753	181	12	tds	tds	ADJ
easat-2753	181	13	1.468	1.468	NUM
easat-2753	181	14	0.027	0.027	NUM
easat-2753	181	15	not	not	PART
easat-2753	181	16	normal	normal	ADJ
easat-2753	181	17	chloride	chloride	NOUN
easat-2753	181	18	1.771	1.771	NUM
easat-2753	181	19	0.004	0.004	NUM
easat-2753	181	20	not	not	PART
easat-2753	181	21	normal	normal	ADJ
easat-2753	181	22	nitrate	nitrate	NOUN
easat-2753	181	23	0.962	0.962	NUM
easat-2753	181	24	0.313	0.313	NUM
easat-2753	181	25	normal	normal	ADJ
easat-2753	181	26	after	after	ADP
easat-2753	181	27	tds	td	VERB
easat-2753	181	28	0.672	0.672	NUM
easat-2753	181	29	0.757	0.757	NUM
easat-2753	181	30	normal	normal	ADJ
easat-2753	181	31	chloride	chloride	NOUN
easat-2753	181	32	0.704	0.704	NUM
easat-2753	181	33	0.704	0.704	NUM
easat-2753	181	34	normal	normal	ADJ
easat-2753	181	35	nitrate	nitrate	NOUN
easat-2753	181	36	0.953	0.953	NUM
easat-2753	181	37	0.324	0.324	NUM
easat-2753	181	38	normal	normal	ADJ
easat-2753	181	39	9	9	NUM
easat-2753	181	40	.	.	PUNCT
easat-2753	182	1	hierarchical	hierarchical	ADJ
easat-2753	182	2	clustering	clustering	NOUN
easat-2753	182	3	analysis	analysis	NOUN
easat-2753	182	4	r	r	NOUN
easat-2753	182	5	programming	programming	NOUN
easat-2753	182	6	language	language	NOUN
easat-2753	182	7	is	be	AUX
easat-2753	182	8	used	use	VERB
easat-2753	182	9	to	to	PART
easat-2753	182	10	perform	perform	VERB
easat-2753	182	11	hierarchical	hierarchical	ADJ
easat-2753	182	12	clustering	clustering	NOUN
easat-2753	182	13	and	and	CCONJ
easat-2753	182	14	generate	generate	VERB
easat-2753	182	15	a	a	DET
easat-2753	182	16	cluster	cluster	NOUN
easat-2753	182	17	tree	tree	NOUN
easat-2753	182	18	using	use	VERB
easat-2753	182	19	“	"	PUNCT
easat-2753	182	20	hclust	hclust	PROPN
easat-2753	182	21	(	(	PUNCT
easat-2753	182	22	)	)	PUNCT
easat-2753	182	23	”	"	PUNCT
easat-2753	182	24	function	function	NOUN
easat-2753	182	25	.	.	PUNCT
easat-2753	183	1	the	the	DET
easat-2753	183	2	function	function	NOUN
easat-2753	183	3	“	"	PUNCT
easat-2753	183	4	cutree	cutree	NOUN
easat-2753	183	5	(	(	PUNCT
easat-2753	183	6	)	)	PUNCT
easat-2753	183	7	”	"	PUNCT
easat-2753	183	8	can	can	AUX
easat-2753	183	9	be	be	AUX
easat-2753	183	10	used	use	VERB
easat-2753	183	11	to	to	PART
easat-2753	183	12	cut	cut	VERB
easat-2753	183	13	a	a	DET
easat-2753	183	14	tree	tree	NOUN
easat-2753	183	15	which	which	PRON
easat-2753	183	16	reflects	reflect	VERB
easat-2753	183	17	data	data	NOUN
easat-2753	183	18	is	be	AUX
easat-2753	183	19	to	to	PART
easat-2753	183	20	compute	compute	VERB
easat-2753	183	21	the	the	DET
easat-2753	183	22	correlation	correlation	NOUN
easat-2753	183	23	between	between	ADP
easat-2753	183	24	the	the	DET
easat-2753	183	25	cophenetic	cophenetic	ADJ
easat-2753	183	26	and	and	CCONJ
easat-2753	183	27	the	the	DET
easat-2753	183	28	original	original	ADJ
easat-2753	183	29	distance	distance	NOUN
easat-2753	183	30	data	datum	NOUN
easat-2753	183	31	generated	generate	VERB
easat-2753	183	32	by	by	ADP
easat-2753	183	33	“	"	PUNCT
easat-2753	183	34	dist	dist	NOUN
easat-2753	183	35	(	(	PUNCT
easat-2753	183	36	)	)	PUNCT
easat-2753	183	37	”	"	PUNCT
easat-2753	183	38	function	function	NOUN
easat-2753	183	39	.	.	PUNCT
easat-2753	184	1	if	if	SCONJ
easat-2753	184	2	the	the	DET
easat-2753	184	3	clustering	clustering	NOUN
easat-2753	184	4	is	be	AUX
easat-2753	184	5	valid	valid	ADJ
easat-2753	184	6	,	,	PUNCT
easat-2753	184	7	the	the	DET
easat-2753	184	8	linking	linking	NOUN
easat-2753	184	9	of	of	ADP
easat-2753	184	10	objects	object	NOUN
easat-2753	184	11	in	in	ADP
easat-2753	184	12	the	the	DET
easat-2753	184	13	cluster	cluster	NOUN
easat-2753	184	14	tree	tree	NOUN
easat-2753	184	15	should	should	AUX
easat-2753	184	16	have	have	VERB
easat-2753	184	17	a	a	DET
easat-2753	184	18	strong	strong	ADJ
easat-2753	184	19	correlation	correlation	NOUN
easat-2753	184	20	with	with	ADP
easat-2753	184	21	the	the	DET
easat-2753	184	22	distances	distance	NOUN
easat-2753	184	23	between	between	ADP
easat-2753	184	24	objects	object	NOUN
easat-2753	184	25	in	in	ADP
easat-2753	184	26	the	the	DET
easat-2753	184	27	original	original	ADJ
easat-2753	184	28	distance	distance	NOUN
easat-2753	184	29	matrix	matrix	NOUN
easat-2753	184	30	.	.	PUNCT
easat-2753	185	1	the	the	PRON
easat-2753	185	2	closer	close	ADJ
easat-2753	185	3	the	the	DET
easat-2753	185	4	value	value	NOUN
easat-2753	185	5	of	of	ADP
easat-2753	185	6	the	the	DET
easat-2753	185	7	correlation	correlation	NOUN
easat-2753	185	8	is	be	AUX
easat-2753	185	9	to	to	ADP
easat-2753	185	10	1	1	NUM
easat-2753	185	11	,	,	PUNCT
easat-2753	185	12	the	the	PRON
easat-2753	185	13	more	more	ADV
easat-2753	185	14	accurately	accurately	ADV
easat-2753	185	15	the	the	DET
easat-2753	185	16	clustering	clustering	ADJ
easat-2753	185	17	solution	solution	NOUN
easat-2753	185	18	reflects	reflect	VERB
easat-2753	185	19	your	your	PRON
easat-2753	185	20	data	datum	NOUN
easat-2753	185	21	.	.	PUNCT
easat-2753	186	1	values	value	NOUN
easat-2753	186	2	above	above	ADP
easat-2753	186	3	0.75	0.75	NUM
easat-2753	186	4	are	be	AUX
easat-2753	186	5	felt	feel	VERB
easat-2753	186	6	to	to	PART
easat-2753	186	7	be	be	AUX
easat-2753	186	8	good	good	ADJ
easat-2753	186	9	.	.	PUNCT
easat-2753	187	1	results	result	NOUN
easat-2753	187	2	are	be	AUX
easat-2753	187	3	summarized	summarize	VERB
easat-2753	187	4	in	in	ADP
easat-2753	187	5	table	table	NOUN
easat-2753	187	6	6	6	NUM
easat-2753	187	7	.	.	PUNCT
easat-2753	187	8	table	table	NOUN
easat-2753	187	9	6	6	NUM
easat-2753	187	10	.	.	PUNCT
easat-2753	188	1	optimal	optimal	ADJ
easat-2753	188	2	scores	score	NOUN
easat-2753	188	3	of	of	ADP
easat-2753	188	4	agglomerative	agglomerative	ADJ
easat-2753	188	5	clustering	clustering	NOUN
easat-2753	188	6	and	and	CCONJ
easat-2753	188	7	cophenetic	cophenetic	ADJ
easat-2753	188	8	of	of	ADP
easat-2753	188	9	clusters	cluster	NOUN
easat-2753	188	10	.	.	PUNCT
easat-2753	189	1	hierarchical	hierarchical	ADJ
easat-2753	189	2	cophenetic	cophenetic	ADJ
easat-2753	189	3	ac	ac	PROPN
easat-2753	189	4	ward	ward	VERB
easat-2753	189	5	0.9049138	0.9049138	NUM
easat-2753	189	6	0.9361213	0.9361213	NUM
easat-2753	189	7	single	single	ADJ
easat-2753	189	8	0.889809	0.889809	NUM
easat-2753	189	9	0.9265208	0.9265208	NUM
easat-2753	189	10	complete	complete	ADJ
easat-2753	189	11	0.9266485	0.9266485	NUM
easat-2753	189	12	0.941376	0.941376	NUM
easat-2753	189	13	average	average	ADJ
easat-2753	189	14	0.9361161	0.9361161	NUM
easat-2753	189	15	0.9361213	0.9361213	NUM
easat-2753	190	1	it	it	PRON
easat-2753	190	2	is	be	AUX
easat-2753	190	3	concluded	conclude	VERB
easat-2753	190	4	that	that	SCONJ
easat-2753	190	5	the	the	DET
easat-2753	190	6	best	good	ADJ
easat-2753	190	7	method	method	NOUN
easat-2753	190	8	was	be	AUX
easat-2753	190	9	"	"	PUNCT
easat-2753	190	10	average	average	ADJ
easat-2753	190	11	"	"	PUNCT
easat-2753	190	12	,	,	PUNCT
easat-2753	190	13	where	where	SCONJ
easat-2753	190	14	the	the	DET
easat-2753	190	15	cophenetic	cophenetic	NOUN
easat-2753	190	16	is	be	AUX
easat-2753	190	17	almost	almost	ADV
easat-2753	190	18	equal	equal	ADJ
easat-2753	190	19	to	to	PART
easat-2753	190	20	agglomerative	agglomerative	ADJ
easat-2753	190	21	clustering	clustering	NOUN
easat-2753	190	22	(	(	PUNCT
easat-2753	190	23	ac	ac	PROPN
easat-2753	190	24	)	)	PUNCT
easat-2753	190	25	with	with	ADP
easat-2753	190	26	score	score	NOUN
easat-2753	190	27	equal	equal	ADJ
easat-2753	190	28	to	to	ADP
easat-2753	190	29	0	0	NUM
easat-2753	190	30	.	.	NOUN
easat-2753	190	31	9361213	9361213	NUM
easat-2753	190	32	using	use	VERB
easat-2753	190	33	agglomerative	agglomerative	ADJ
easat-2753	190	34	hierarchical	hierarchical	ADJ
easat-2753	190	35	clustering	clustering	NOUN
easat-2753	190	36	to	to	PART
easat-2753	190	37	classify	classify	VERB
easat-2753	190	38	and	and	CCONJ
easat-2753	190	39	using	use	VERB
easat-2753	190	40	the	the	DET
easat-2753	190	41	“	"	PUNCT
easat-2753	190	42	average	average	NOUN
easat-2753	190	43	”	"	PUNCT
easat-2753	190	44	to	to	PART
easat-2753	190	45	be	be	AUX
easat-2753	190	46	clustering	cluster	VERB
easat-2753	190	47	group	group	NOUN
easat-2753	190	48	.	.	PUNCT
easat-2753	191	1	this	this	DET
easat-2753	191	2	method	method	NOUN
easat-2753	191	3	is	be	AUX
easat-2753	191	4	based	base	VERB
easat-2753	191	5	when	when	SCONJ
easat-2753	191	6	two	two	NUM
easat-2753	191	7	clusters	cluster	NOUN
easat-2753	191	8	are	be	AUX
easat-2753	191	9	be	be	AUX
easat-2753	191	10	joined	join	VERB
easat-2753	191	11	,	,	PUNCT
easat-2753	191	12	the	the	DET
easat-2753	191	13	distance	distance	NOUN
easat-2753	191	14	of	of	ADP
easat-2753	191	15	the	the	DET
easat-2753	191	16	new	new	ADJ
easat-2753	191	17	cluster	cluster	NOUN
easat-2753	191	18	to	to	ADP
easat-2753	191	19	any	any	DET
easat-2753	191	20	other	other	ADJ
easat-2753	191	21	cluster	cluster	NOUN
easat-2753	191	22	is	be	AUX
easat-2753	191	23	calculated	calculate	VERB
easat-2753	191	24	as	as	ADP
easat-2753	191	25	the	the	DET
easat-2753	191	26	average	average	NOUN
easat-2753	191	27	of	of	ADP
easat-2753	191	28	the	the	DET
easat-2753	191	29	distances	distance	NOUN
easat-2753	191	30	of	of	ADP
easat-2753	191	31	the	the	DET
easat-2753	191	32	soon	soon	ADV
easat-2753	191	33	to	to	PART
easat-2753	191	34	be	be	AUX
easat-2753	191	35	joined	join	VERB
easat-2753	191	36	clusters	cluster	NOUN
easat-2753	191	37	to	to	ADP
easat-2753	191	38	that	that	DET
easat-2753	191	39	other	other	ADJ
easat-2753	191	40	cluster	cluster	NOUN
easat-2753	191	41	in	in	ADP
easat-2753	191	42	the	the	DET
easat-2753	191	43	data	datum	NOUN
easat-2753	191	44	.	.	PUNCT
easat-2753	192	1	using	use	VERB
easat-2753	192	2	the	the	DET
easat-2753	192	3	hierarchical	hierarchical	ADJ
easat-2753	192	4	clustering	clustering	NOUN
easat-2753	192	5	(	(	PUNCT
easat-2753	192	6	hc	hc	NOUN
easat-2753	192	7	)	)	PUNCT
easat-2753	192	8	to	to	PART
easat-2753	192	9	find	find	VERB
easat-2753	192	10	the	the	DET
easat-2753	192	11	k	k	NOUN
easat-2753	192	12	-	-	NOUN
easat-2753	192	13	cluster	cluster	NOUN
easat-2753	192	14	in	in	ADP
easat-2753	192	15	rafah	rafah	NOUN
easat-2753	192	16	as	as	SCONJ
easat-2753	192	17	given	give	VERB
easat-2753	192	18	in	in	ADP
easat-2753	192	19	figure	figure	NOUN
easat-2753	192	20	1	1	NUM
easat-2753	192	21	.	.	X
easat-2753	192	22	3549	3549	NUM
easat-2753	192	23	edelweiss	edelweiss	PROPN
easat-2753	192	24	applied	apply	VERB
easat-2753	192	25	science	science	NOUN
easat-2753	192	26	and	and	CCONJ
easat-2753	192	27	technology	technology	NOUN
easat-2753	192	28	issn	issn	PROPN
easat-2753	192	29	:	:	PUNCT
easat-2753	192	30	2576	2576	NUM
easat-2753	192	31	-	-	SYM
easat-2753	192	32	8484	8484	NUM
easat-2753	192	33	vol	vol	NOUN
easat-2753	192	34	.	.	PROPN
easat-2753	192	35	8	8	NUM
easat-2753	192	36	,	,	PUNCT
easat-2753	192	37	no	no	INTJ
easat-2753	192	38	.	.	NOUN
easat-2753	193	1	6	6	NUM
easat-2753	193	2	:	:	SYM
easat-2753	193	3	3542	3542	NUM
easat-2753	193	4	-	-	SYM
easat-2753	193	5	3555	3555	NUM
easat-2753	193	6	,	,	PUNCT
easat-2753	193	7	2024	2024	NUM
easat-2753	193	8	doi	doi	NOUN
easat-2753	193	9	:	:	PUNCT
easat-2753	193	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	193	11	©	©	PROPN
easat-2753	193	12	2024	2024	NUM
easat-2753	193	13	by	by	ADP
easat-2753	193	14	the	the	DET
easat-2753	193	15	authors	author	NOUN
easat-2753	193	16	;	;	PUNCT
easat-2753	193	17	licensee	licensee	PROPN
easat-2753	193	18	learning	learn	VERB
easat-2753	193	19	gate	gate	NOUN
easat-2753	193	20	figure	figure	NOUN
easat-2753	193	21	1	1	NUM
easat-2753	193	22	.	.	PUNCT
easat-2753	194	1	average	average	ADJ
easat-2753	194	2	clustering	clustering	NOUN
easat-2753	194	3	among	among	ADP
easat-2753	194	4	groundwater	groundwater	NOUN
easat-2753	194	5	wells	well	NOUN
easat-2753	194	6	in	in	ADP
easat-2753	194	7	rafah	rafah	NOUN
easat-2753	194	8	.	.	PUNCT
easat-2753	195	1	hierarchical	hierarchical	ADJ
easat-2753	195	2	analysis	analysis	NOUN
easat-2753	195	3	was	be	AUX
easat-2753	195	4	applied	apply	VERB
easat-2753	195	5	using	use	VERB
easat-2753	195	6	"	"	PUNCT
easat-2753	195	7	average	average	ADJ
easat-2753	195	8	"	"	PUNCT
easat-2753	195	9	method	method	NOUN
easat-2753	195	10	on	on	ADP
easat-2753	195	11	groundwater	groundwater	NOUN
easat-2753	195	12	wells	well	NOUN
easat-2753	195	13	in	in	ADP
easat-2753	195	14	rafah	rafah	PROPN
easat-2753	195	15	governorate	governorate	NOUN
easat-2753	195	16	for	for	ADP
easat-2753	195	17	the	the	DET
easat-2753	195	18	year	year	NOUN
easat-2753	195	19	(	(	PUNCT
easat-2753	195	20	2020	2020	NUM
easat-2753	195	21	)	)	PUNCT
easat-2753	195	22	,	,	PUNCT
easat-2753	195	23	where	where	SCONJ
easat-2753	195	24	we	we	PRON
easat-2753	195	25	found	find	VERB
easat-2753	195	26	two	two	NUM
easat-2753	195	27	clusters	cluster	NOUN
easat-2753	195	28	and	and	CCONJ
easat-2753	195	29	summarized	summarize	VERB
easat-2753	195	30	in	in	ADP
easat-2753	195	31	table	table	NOUN
easat-2753	195	32	7	7	NUM
easat-2753	195	33	.	.	PUNCT
easat-2753	195	34	where	where	SCONJ
easat-2753	195	35	we	we	PRON
easat-2753	195	36	conclude	conclude	VERB
easat-2753	195	37	that	that	PRON
easat-2753	195	38	for	for	ADP
easat-2753	195	39	the	the	DET
easat-2753	195	40	first	first	ADJ
easat-2753	195	41	cluster	cluster	NOUN
easat-2753	195	42	there	there	PRON
easat-2753	195	43	are	be	VERB
easat-2753	195	44	28	28	NUM
easat-2753	195	45	wells	well	NOUN
easat-2753	195	46	(	(	PUNCT
easat-2753	195	47	p/163	p/163	ADJ
easat-2753	195	48	,	,	PUNCT
easat-2753	195	49	alshoka	alshoka	NOUN
easat-2753	195	50	,	,	PUNCT
easat-2753	195	51	p/147	p/147	NOUN
easat-2753	195	52	,	,	PUNCT
easat-2753	195	53	p/170	p/170	PROPN
easat-2753	195	54	,	,	PUNCT
easat-2753	195	55	p/15	p/15	PROPN
easat-2753	195	56	,	,	PUNCT
easat-2753	195	57	p/138	p/138	NOUN
easat-2753	195	58	,	,	PUNCT
easat-2753	195	59	p/144a	p/144a	PROPN
easat-2753	195	60	,	,	PUNCT
easat-2753	195	61	p/145	p/145	NOUN
easat-2753	195	62	,	,	PUNCT
easat-2753	195	63	alsika	alsika	PROPN
easat-2753	195	64	,	,	PUNCT
easat-2753	195	65	alsafa	alsafa	PROPN
easat-2753	195	66	,	,	PUNCT
easat-2753	195	67	p/174	p/174	PROPN
easat-2753	195	68	,	,	PUNCT
easat-2753	195	69	alshaout	alshaout	NOUN
easat-2753	195	70	,	,	PUNCT
easat-2753	195	71	w02	w02	NOUN
easat-2753	195	72	,	,	PUNCT
easat-2753	195	73	w03	w03	NOUN
easat-2753	195	74	,	,	PUNCT
easat-2753	195	75	ibntaimiya	ibntaimiya	PROPN
easat-2753	195	76	,	,	PUNCT
easat-2753	195	77	undp	undp	PROPN
easat-2753	195	78	,	,	PUNCT
easat-2753	195	79	muraj	muraj	NOUN
easat-2753	195	80	,	,	PUNCT
easat-2753	195	81	alzohor	alzohor	NOUN
easat-2753	195	82	,	,	PUNCT
easat-2753	195	83	p/164	p/164	NOUN
easat-2753	195	84	,	,	PUNCT
easat-2753	195	85	p/138	p/138	PROPN
easat-2753	195	86	,	,	PUNCT
easat-2753	195	87	p/144a	p/144a	PROPN
easat-2753	195	88	,	,	PUNCT
easat-2753	195	89	p/173	p/173	PROPN
easat-2753	195	90	,	,	PUNCT
easat-2753	195	91	p/174	p/174	ADV
easat-2753	195	92	,	,	PUNCT
easat-2753	195	93	alshaout	alshaout	NOUN
easat-2753	195	94	,	,	PUNCT
easat-2753	195	95	w01	w01	NOUN
easat-2753	195	96	,	,	PUNCT
easat-2753	195	97	muraj	muraj	NOUN
easat-2753	195	98	,	,	PUNCT
easat-2753	195	99	p/148	p/148	NOUN
easat-2753	195	100	,	,	PUNCT
easat-2753	195	101	and	and	CCONJ
easat-2753	195	102	p/148	p/148	NOUN
easat-2753	195	103	)	)	PUNCT
easat-2753	195	104	had	have	VERB
easat-2753	195	105	the	the	DET
easat-2753	195	106	same	same	ADJ
easat-2753	195	107	(	(	PUNCT
easat-2753	195	108	nitrate	nitrate	NOUN
easat-2753	195	109	guideline	guideline	NOUN
easat-2753	195	110	)	)	PUNCT
easat-2753	195	111	which	which	PRON
easat-2753	195	112	was	be	AUX
easat-2753	195	113	(	(	PUNCT
easat-2753	195	114	not	not	PART
easat-2753	195	115	acceptability	acceptability	NOUN
easat-2753	195	116	for	for	ADP
easat-2753	195	117	human	human	ADJ
easat-2753	195	118	and	and	CCONJ
easat-2753	195	119	agricultural	agricultural	ADJ
easat-2753	195	120	using	using	NOUN
easat-2753	195	121	)	)	PUNCT
easat-2753	195	122	and	and	CCONJ
easat-2753	195	123	the	the	DET
easat-2753	195	124	same	same	ADJ
easat-2753	195	125	(	(	PUNCT
easat-2753	195	126	t.d.s	t.d.s	NOUN
easat-2753	195	127	guideline	guideline	NOUN
easat-2753	195	128	)	)	PUNCT
easat-2753	195	129	which	which	PRON
easat-2753	195	130	was	be	AUX
easat-2753	195	131	(	(	PUNCT
easat-2753	195	132	not	not	PART
easat-2753	195	133	acceptability	acceptability	NOUN
easat-2753	195	134	for	for	ADP
easat-2753	195	135	human	human	ADJ
easat-2753	195	136	and	and	CCONJ
easat-2753	195	137	agricultural	agricultural	ADJ
easat-2753	195	138	using	using	NOUN
easat-2753	195	139	)	)	PUNCT
easat-2753	195	140	,	,	PUNCT
easat-2753	195	141	and	and	CCONJ
easat-2753	195	142	the	the	DET
easat-2753	195	143	same	same	ADJ
easat-2753	195	144	(	(	PUNCT
easat-2753	195	145	chloride	chloride	NOUN
easat-2753	195	146	guideline	guideline	NOUN
easat-2753	195	147	)	)	PUNCT
easat-2753	195	148	which	which	PRON
easat-2753	195	149	was	be	AUX
easat-2753	195	150	(	(	PUNCT
easat-2753	195	151	not	not	PART
easat-2753	195	152	acceptability	acceptability	NOUN
easat-2753	195	153	for	for	ADP
easat-2753	195	154	human	human	ADJ
easat-2753	195	155	and	and	CCONJ
easat-2753	195	156	agricultural	agricultural	ADJ
easat-2753	195	157	using	using	NOUN
easat-2753	195	158	)	)	PUNCT
easat-2753	195	159	.	.	PUNCT
easat-2753	196	1	while	while	SCONJ
easat-2753	196	2	for	for	ADP
easat-2753	196	3	the	the	DET
easat-2753	196	4	second	second	ADJ
easat-2753	196	5	cluster	cluster	NOUN
easat-2753	196	6	,	,	PUNCT
easat-2753	196	7	9	9	NUM
easat-2753	196	8	wells	well	NOUN
easat-2753	196	9	(	(	PUNCT
easat-2753	196	10	p/10	p/10	PROPN
easat-2753	196	11	,	,	PUNCT
easat-2753	196	12	ibntaimiya	ibntaimiya	PROPN
easat-2753	196	13	,	,	PUNCT
easat-2753	196	14	tika	tika	NOUN
easat-2753	196	15	,	,	PUNCT
easat-2753	196	16	p/172	p/172	NOUN
easat-2753	196	17	,	,	PUNCT
easat-2753	196	18	p/173	p/173	PROPN
easat-2753	196	19	,	,	PUNCT
easat-2753	196	20	p/153	p/153	VERB
easat-2753	196	21	,	,	PUNCT
easat-2753	196	22	malaysian	malaysian	ADJ
easat-2753	196	23	,	,	PUNCT
easat-2753	196	24	alnaser2	alnaser2	PROPN
easat-2753	196	25	,	,	PUNCT
easat-2753	196	26	and	and	CCONJ
easat-2753	196	27	p/169	p/169	NOUN
easat-2753	196	28	)	)	PUNCT
easat-2753	196	29	had	have	VERB
easat-2753	196	30	the	the	DET
easat-2753	196	31	same	same	ADJ
easat-2753	196	32	(	(	PUNCT
easat-2753	196	33	nitrate	nitrate	NOUN
easat-2753	196	34	guideline	guideline	NOUN
easat-2753	196	35	)	)	PUNCT
easat-2753	196	36	which	which	PRON
easat-2753	196	37	was	be	AUX
easat-2753	196	38	(	(	PUNCT
easat-2753	196	39	not	not	PART
easat-2753	196	40	acceptability	acceptability	NOUN
easat-2753	196	41	for	for	ADP
easat-2753	196	42	human	human	ADJ
easat-2753	196	43	and	and	CCONJ
easat-2753	196	44	agricultural	agricultural	ADJ
easat-2753	196	45	using	using	NOUN
easat-2753	196	46	)	)	PUNCT
easat-2753	196	47	and	and	CCONJ
easat-2753	196	48	the	the	DET
easat-2753	196	49	same	same	ADJ
easat-2753	196	50	(	(	PUNCT
easat-2753	196	51	t.d.s	t.d.s	NOUN
easat-2753	196	52	guideline	guideline	NOUN
easat-2753	196	53	)	)	PUNCT
easat-2753	196	54	which	which	PRON
easat-2753	196	55	was	be	AUX
easat-2753	196	56	(	(	PUNCT
easat-2753	196	57	not	not	PART
easat-2753	196	58	acceptability	acceptability	NOUN
easat-2753	196	59	for	for	ADP
easat-2753	196	60	human	human	ADJ
easat-2753	196	61	and	and	CCONJ
easat-2753	196	62	agricultural	agricultural	ADJ
easat-2753	196	63	using	using	NOUN
easat-2753	196	64	)	)	PUNCT
easat-2753	196	65	,	,	PUNCT
easat-2753	196	66	and	and	CCONJ
easat-2753	196	67	the	the	DET
easat-2753	196	68	same	same	ADJ
easat-2753	196	69	(	(	PUNCT
easat-2753	196	70	chloride	chloride	NOUN
easat-2753	196	71	guideline	guideline	NOUN
easat-2753	196	72	)	)	PUNCT
easat-2753	196	73	which	which	PRON
easat-2753	196	74	was	be	AUX
easat-2753	196	75	(	(	PUNCT
easat-2753	196	76	not	not	PART
easat-2753	196	77	acceptability	acceptability	NOUN
easat-2753	196	78	for	for	ADP
easat-2753	196	79	human	human	ADJ
easat-2753	196	80	and	and	CCONJ
easat-2753	196	81	agricultural	agricultural	ADJ
easat-2753	196	82	using	using	NOUN
easat-2753	196	83	)	)	PUNCT
easat-2753	196	84	.	.	PUNCT
easat-2753	197	1	3550	3550	NUM
easat-2753	197	2	edelweiss	edelweiss	PROPN
easat-2753	197	3	applied	apply	VERB
easat-2753	197	4	science	science	NOUN
easat-2753	197	5	and	and	CCONJ
easat-2753	197	6	technology	technology	NOUN
easat-2753	197	7	issn	issn	PROPN
easat-2753	197	8	:	:	PUNCT
easat-2753	197	9	2576	2576	NUM
easat-2753	197	10	-	-	SYM
easat-2753	197	11	8484	8484	NUM
easat-2753	197	12	vol	vol	NOUN
easat-2753	197	13	.	.	PROPN
easat-2753	197	14	8	8	NUM
easat-2753	197	15	,	,	PUNCT
easat-2753	197	16	no	no	INTJ
easat-2753	197	17	.	.	NOUN
easat-2753	198	1	6	6	NUM
easat-2753	198	2	:	:	SYM
easat-2753	198	3	3542	3542	NUM
easat-2753	198	4	-	-	SYM
easat-2753	198	5	3555	3555	NUM
easat-2753	198	6	,	,	PUNCT
easat-2753	198	7	2024	2024	NUM
easat-2753	198	8	doi	doi	NOUN
easat-2753	198	9	:	:	PUNCT
easat-2753	198	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	198	11	©	©	PROPN
easat-2753	198	12	2024	2024	NUM
easat-2753	198	13	by	by	ADP
easat-2753	198	14	the	the	DET
easat-2753	198	15	authors	author	NOUN
easat-2753	198	16	;	;	PUNCT
easat-2753	198	17	licensee	licensee	PROPN
easat-2753	198	18	learning	learn	VERB
easat-2753	198	19	gate	gate	NOUN
easat-2753	198	20	table	table	NOUN
easat-2753	198	21	7	7	NUM
easat-2753	198	22	.	.	PUNCT
easat-2753	199	1	kcluster	kcluster	NOUN
easat-2753	199	2	of	of	ADP
easat-2753	199	3	groundwater	groundwater	NOUN
easat-2753	199	4	wells	well	NOUN
easat-2753	199	5	in	in	ADP
easat-2753	199	6	rafah	rafah	NOUN
easat-2753	199	7	by	by	ADP
easat-2753	199	8	average	average	ADJ
easat-2753	199	9	method	method	NOUN
easat-2753	199	10	(	(	PUNCT
easat-2753	199	11	2020	2020	NUM
easat-2753	199	12	)	)	PUNCT
easat-2753	199	13	.	.	PUNCT
easat-2753	200	1	no	no	INTJ
easat-2753	200	2	.	.	PUNCT
easat-2753	201	1	wells	well	NOUN
easat-2753	201	2	well	well	INTJ
easat-2753	201	3	name	name	INTJ
easat-2753	202	1	well	well	INTJ
easat-2753	202	2	no	no	INTJ
easat-2753	202	3	.	.	PUNCT
easat-2753	203	1	k	k	ADJ
easat-2753	203	2	-	-	PUNCT
easat-2753	203	3	cluster	cluster	NOUN
easat-2753	203	4	nitrate	nitrate	NOUN
easat-2753	203	5	guideline	guideline	NOUN
easat-2753	203	6	t.d.s	t.d.s	PROPN
easat-2753	203	7	guideline	guideline	PROPN
easat-2753	203	8	chloride	chloride	PROPN
easat-2753	203	9	guideline	guideline	NOUN
easat-2753	203	10	nitrate	nitrate	NOUN
easat-2753	203	11	chloride	chloride	NOUN
easat-2753	203	12	t.d.s	t.d.s	NOUN
easat-2753	203	13	1	1	NUM
easat-2753	203	14	.	.	NUM
easat-2753	203	15	2	2	NUM
easat-2753	203	16	al	al	PROPN
easat-2753	203	17	naser	naser	PROPN
easat-2753	203	18	1	1	NUM
easat-2753	203	19	p/163	p/163	PROPN
easat-2753	203	20	1	1	NUM
easat-2753	203	21	not	not	PART
easat-2753	203	22	accept	accept	AUX
easat-2753	203	23	not	not	PART
easat-2753	203	24	accept	accept	AUX
easat-2753	203	25	not	not	PART
easat-2753	203	26	accept	accept	VERB
easat-2753	203	27	5.09	5.09	NUM
easat-2753	203	28	6.84	6.84	NUM
easat-2753	203	29	7.78	7.78	NUM
easat-2753	203	30	2	2	NUM
easat-2753	203	31	.	.	NOUN
easat-2753	203	32	4	4	NUM
easat-2753	203	33	baladia	baladia	PROPN
easat-2753	203	34	al	al	PROPN
easat-2753	203	35	shoka	shoka	VERB
easat-2753	203	36	al	al	PROPN
easat-2753	203	37	shoka	shoka	VERB
easat-2753	203	38	1	1	NUM
easat-2753	203	39	not	not	PART
easat-2753	203	40	accept	accept	AUX
easat-2753	203	41	not	not	PART
easat-2753	203	42	accept	accept	AUX
easat-2753	203	43	not	not	PART
easat-2753	203	44	accept	accept	VERB
easat-2753	203	45	5.41	5.41	NUM
easat-2753	203	46	7.05	7.05	NUM
easat-2753	203	47	8.09	8.09	NUM
easat-2753	203	48	3	3	NUM
easat-2753	203	49	.	.	SYM
easat-2753	203	50	5	5	NUM
easat-2753	203	51	airport	airport	NOUN
easat-2753	203	52	p/147	p/147	NOUN
easat-2753	203	53	1	1	NUM
easat-2753	203	54	not	not	PART
easat-2753	203	55	accept	accept	AUX
easat-2753	203	56	not	not	PART
easat-2753	203	57	accept	accept	AUX
easat-2753	203	58	not	not	PART
easat-2753	203	59	accept	accept	VERB
easat-2753	203	60	5.37	5.37	NUM
easat-2753	203	61	7.02	7.02	NUM
easat-2753	203	62	7.92	7.92	NUM
easat-2753	203	63	4	4	NUM
easat-2753	203	64	.	.	NUM
easat-2753	203	65	7	7	NUM
easat-2753	203	66	al	al	PROPN
easat-2753	203	67	shoka	shoka	VERB
easat-2753	203	68	al	al	PROPN
easat-2753	203	69	jamia	jamia	PROPN
easat-2753	203	70	p/170	p/170	PROPN
easat-2753	203	71	1	1	NUM
easat-2753	203	72	not	not	PART
easat-2753	203	73	accept	accept	AUX
easat-2753	203	74	not	not	PART
easat-2753	203	75	accept	accept	AUX
easat-2753	203	76	not	not	PART
easat-2753	203	77	accept	accept	VERB
easat-2753	203	78	5.84	5.84	NUM
easat-2753	203	79	6.68	6.68	NUM
easat-2753	203	80	7.74	7.74	NUM
easat-2753	203	81	5	5	NUM
easat-2753	203	82	.	.	SYM
easat-2753	203	83	8	8	NUM
easat-2753	203	84	zourob	zourob	NOUN
easat-2753	203	85	p/15	p/15	PROPN
easat-2753	203	86	1	1	NUM
easat-2753	203	87	not	not	PART
easat-2753	203	88	accept	accept	AUX
easat-2753	203	89	not	not	PART
easat-2753	203	90	accept	accept	AUX
easat-2753	203	91	not	not	PART
easat-2753	203	92	accept	accept	VERB
easat-2753	203	93	5.47	5.47	NUM
easat-2753	203	94	6.92	6.92	NUM
easat-2753	203	95	8.09	8.09	NUM
easat-2753	203	96	6	6	NUM
easat-2753	203	97	.	.	SYM
easat-2753	203	98	9	9	NUM
easat-2753	203	99	abu	abu	PROPN
easat-2753	203	100	zuhri	zuhri	NOUN
easat-2753	203	101	p/138	p/138	PROPN
easat-2753	203	102	1	1	NUM
easat-2753	203	103	not	not	PART
easat-2753	203	104	accept	accept	AUX
easat-2753	203	105	not	not	PART
easat-2753	203	106	accept	accept	AUX
easat-2753	203	107	not	not	PART
easat-2753	203	108	accept	accept	VERB
easat-2753	203	109	5.32	5.32	NUM
easat-2753	203	110	6.77	6.77	NUM
easat-2753	203	111	7.87	7.87	NUM
easat-2753	203	112	7	7	NUM
easat-2753	203	113	.	.	X
easat-2753	203	114	10	10	NUM
easat-2753	203	115	canada	canada	PROPN
easat-2753	203	116	new	new	ADJ
easat-2753	203	117	p/144a	p/144a	PROPN
easat-2753	203	118	1	1	NUM
easat-2753	203	119	not	not	PART
easat-2753	203	120	accept	accept	AUX
easat-2753	203	121	not	not	PART
easat-2753	203	122	accept	accept	AUX
easat-2753	203	123	not	not	PART
easat-2753	203	124	accept	accept	VERB
easat-2753	203	125	4.44	4.44	NUM
easat-2753	203	126	6.46	6.46	NUM
easat-2753	203	127	7.34	7.34	NUM
easat-2753	203	128	8	8	NUM
easat-2753	203	129	.	.	PUNCT
easat-2753	204	1	11	11	NUM
easat-2753	204	2	al	al	PROPN
easat-2753	204	3	hashash	hashash	NOUN
easat-2753	204	4	p/145	p/145	NOUN
easat-2753	204	5	1	1	NUM
easat-2753	204	6	not	not	PART
easat-2753	204	7	accept	accept	AUX
easat-2753	204	8	not	not	PART
easat-2753	204	9	accept	accept	AUX
easat-2753	204	10	not	not	PART
easat-2753	204	11	accept	accept	VERB
easat-2753	204	12	5.55	5.55	NUM
easat-2753	204	13	7.03	7.03	NUM
easat-2753	204	14	7.99	7.99	NUM
easat-2753	204	15	9	9	NUM
easat-2753	204	16	.	.	NUM
easat-2753	204	17	13	13	NUM
easat-2753	204	18	al	al	PROPN
easat-2753	204	19	sika	sika	PROPN
easat-2753	204	20	al	al	PROPN
easat-2753	204	21	sika	sika	PROPN
easat-2753	204	22	1	1	NUM
easat-2753	204	23	not	not	PART
easat-2753	204	24	accept	accept	AUX
easat-2753	204	25	not	not	PART
easat-2753	204	26	accept	accept	AUX
easat-2753	204	27	not	not	PART
easat-2753	204	28	accept	accept	VERB
easat-2753	204	29	5.26	5.26	NUM
easat-2753	204	30	6.98	6.98	NUM
easat-2753	204	31	8.04	8.04	NUM
easat-2753	204	32	10	10	NUM
easat-2753	204	33	.	.	PUNCT
easat-2753	205	1	14	14	NUM
easat-2753	205	2	al	al	PROPN
easat-2753	205	3	safa	safa	PROPN
easat-2753	205	4	al	al	PROPN
easat-2753	205	5	safa	safa	PROPN
easat-2753	205	6	1	1	PROPN
easat-2753	205	7	not	not	PART
easat-2753	205	8	accept	accept	AUX
easat-2753	205	9	not	not	PART
easat-2753	205	10	accept	accept	AUX
easat-2753	205	11	not	not	PART
easat-2753	205	12	accept	accept	VERB
easat-2753	205	13	5.26	5.26	NUM
easat-2753	205	14	6.98	6.98	NUM
easat-2753	205	15	7.99	7.99	NUM
easat-2753	205	16	11	11	NUM
easat-2753	205	17	.	.	PUNCT
easat-2753	206	1	16	16	NUM
easat-2753	206	2	trc3	trc3	NOUN
easat-2753	206	3	p/174	p/174	ADV
easat-2753	206	4	1	1	NUM
easat-2753	206	5	not	not	PART
easat-2753	206	6	accept	accept	AUX
easat-2753	206	7	not	not	PART
easat-2753	206	8	accept	accept	AUX
easat-2753	206	9	not	not	PART
easat-2753	206	10	accept	accept	VERB
easat-2753	206	11	5.42	5.42	NUM
easat-2753	206	12	6.19	6.19	NUM
easat-2753	206	13	7.19	7.19	NUM
easat-2753	206	14	12	12	NUM
easat-2753	206	15	.	.	PUNCT
easat-2753	207	1	17	17	NUM
easat-2753	207	2	al	al	PROPN
easat-2753	207	3	shaout	shaout	PROPN
easat-2753	207	4	al	al	PROPN
easat-2753	207	5	shaout	shaout	ADJ
easat-2753	207	6	1	1	NUM
easat-2753	207	7	not	not	PART
easat-2753	207	8	accept	accept	AUX
easat-2753	207	9	not	not	PART
easat-2753	207	10	accept	accept	AUX
easat-2753	207	11	not	not	PART
easat-2753	207	12	accept	accept	VERB
easat-2753	207	13	5.82	5.82	NUM
easat-2753	207	14	6.93	6.93	NUM
easat-2753	207	15	8.09	8.09	NUM
easat-2753	207	16	13	13	NUM
easat-2753	207	17	.	.	PUNCT
easat-2753	208	1	18	18	NUM
easat-2753	208	2	w02	w02	NOUN
easat-2753	208	3	/al	/al	NOUN
easat-2753	208	4	jadied	jadie	VERB
easat-2753	208	5	2	2	NUM
easat-2753	208	6	w02	w02	NOUN
easat-2753	208	7	1	1	NUM
easat-2753	208	8	not	not	PART
easat-2753	208	9	accept	accept	AUX
easat-2753	208	10	not	not	PART
easat-2753	208	11	accept	accept	AUX
easat-2753	208	12	not	not	PART
easat-2753	208	13	accept	accept	VERB
easat-2753	208	14	4.09	4.09	NUM
easat-2753	208	15	8.87	8.87	NUM
easat-2753	208	16	9.39	9.39	NUM
easat-2753	208	17	14	14	NUM
easat-2753	208	18	.	.	PUNCT
easat-2753	209	1	19	19	NUM
easat-2753	209	2	w03	w03	NOUN
easat-2753	209	3	/al	/al	NOUN
easat-2753	209	4	jadied	jadie	VERB
easat-2753	209	5	3	3	NUM
easat-2753	209	6	w03	w03	NOUN
easat-2753	209	7	1	1	NUM
easat-2753	209	8	not	not	PART
easat-2753	209	9	accept	accept	AUX
easat-2753	209	10	not	not	PART
easat-2753	209	11	accept	accept	AUX
easat-2753	209	12	not	not	PART
easat-2753	209	13	accept	accept	VERB
easat-2753	209	14	3.99	3.99	NUM
easat-2753	209	15	8.29	8.29	NUM
easat-2753	209	16	8.91	8.91	NUM
easat-2753	209	17	15	15	NUM
easat-2753	209	18	.	.	PUNCT
easat-2753	210	1	20	20	NUM
easat-2753	210	2	ibn	ibn	NOUN
easat-2753	210	3	taimiya	taimiya	NOUN
easat-2753	210	4	ibn	ibn	NOUN
easat-2753	210	5	taimiya	taimiya	NOUN
easat-2753	210	6	1	1	NUM
easat-2753	210	7	not	not	PART
easat-2753	210	8	accept	accept	AUX
easat-2753	210	9	not	not	PART
easat-2753	210	10	accept	accept	AUX
easat-2753	210	11	not	not	PART
easat-2753	210	12	accept	accept	VERB
easat-2753	210	13	4.44	4.44	NUM
easat-2753	210	14	7.39	7.39	NUM
easat-2753	210	15	8.39	8.39	NUM
easat-2753	210	16	16	16	NUM
easat-2753	210	17	.	.	PUNCT
easat-2753	211	1	21	21	NUM
easat-2753	211	2	undp	undp	PROPN
easat-2753	211	3	housing	housing	PROPN
easat-2753	211	4	undp	undp	PROPN
easat-2753	211	5	1	1	NUM
easat-2753	211	6	not	not	PART
easat-2753	211	7	accept	accept	AUX
easat-2753	211	8	not	not	PART
easat-2753	211	9	accept	accept	AUX
easat-2753	211	10	not	not	PART
easat-2753	211	11	accept	accept	VERB
easat-2753	211	12	4.29	4.29	NUM
easat-2753	211	13	7.58	7.58	NUM
easat-2753	211	14	8.25	8.25	NUM
easat-2753	211	15	17	17	NUM
easat-2753	211	16	.	.	PUNCT
easat-2753	212	1	22	22	NUM
easat-2753	212	2	muraj	muraj	NOUN
easat-2753	212	3	muraj	muraj	AUX
easat-2753	212	4	1	1	NUM
easat-2753	212	5	not	not	PART
easat-2753	212	6	accept	accept	AUX
easat-2753	212	7	not	not	PART
easat-2753	212	8	accept	accept	AUX
easat-2753	212	9	not	not	PART
easat-2753	212	10	accept	accept	VERB
easat-2753	212	11	5.42	5.42	NUM
easat-2753	212	12	6.66	6.66	NUM
easat-2753	212	13	7.59	7.59	NUM
easat-2753	212	14	18	18	NUM
easat-2753	212	15	.	.	PUNCT
easat-2753	212	16	23	23	NUM
easat-2753	213	1	al	al	PROPN
easat-2753	213	2	zohor	zohor	PROPN
easat-2753	213	3	al	al	PROPN
easat-2753	213	4	zohor	zohor	PROPN
easat-2753	213	5	1	1	NUM
easat-2753	213	6	not	not	PART
easat-2753	213	7	accept	accept	AUX
easat-2753	213	8	not	not	PART
easat-2753	213	9	accept	accept	AUX
easat-2753	213	10	not	not	PART
easat-2753	213	11	accept	accept	VERB
easat-2753	213	12	5.16	5.16	NUM
easat-2753	213	13	7.21	7.21	NUM
easat-2753	213	14	8.19	8.19	NUM
easat-2753	213	15	19	19	NUM
easat-2753	213	16	.	.	PUNCT
easat-2753	213	17	24	24	NUM
easat-2753	213	18	unrwa	unrwa	PROPN
easat-2753	213	19	p/164	p/164	NOUN
easat-2753	213	20	1	1	NUM
easat-2753	213	21	not	not	PART
easat-2753	213	22	accept	accept	AUX
easat-2753	213	23	not	not	PART
easat-2753	213	24	accept	accept	AUX
easat-2753	213	25	not	not	PART
easat-2753	213	26	accept	accept	VERB
easat-2753	213	27	3.83	3.83	NUM
easat-2753	213	28	7.36	7.36	NUM
easat-2753	213	29	8.18	8.18	NUM
easat-2753	213	30	20	20	NUM
easat-2753	213	31	.	.	PUNCT
easat-2753	214	1	25	25	NUM
easat-2753	215	1	abu	abu	PROPN
easat-2753	215	2	zuhri	zuhri	NOUN
easat-2753	215	3	p/138	p/138	PROPN
easat-2753	215	4	1	1	NUM
easat-2753	215	5	not	not	PART
easat-2753	215	6	accept	accept	AUX
easat-2753	215	7	not	not	PART
easat-2753	215	8	accept	accept	AUX
easat-2753	215	9	not	not	PART
easat-2753	215	10	accept	accept	VERB
easat-2753	215	11	5.14	5.14	NUM
easat-2753	215	12	6.87	6.87	NUM
easat-2753	215	13	7.90	7.90	NUM
easat-2753	215	14	21	21	NUM
easat-2753	215	15	.	.	PUNCT
easat-2753	216	1	26	26	NUM
easat-2753	216	2	canada	canada	PROPN
easat-2753	216	3	new	new	ADJ
easat-2753	216	4	p/144a	p/144a	PROPN
easat-2753	216	5	1	1	NUM
easat-2753	216	6	not	not	PART
easat-2753	216	7	accept	accept	AUX
easat-2753	216	8	not	not	PART
easat-2753	216	9	accept	accept	AUX
easat-2753	216	10	not	not	PART
easat-2753	216	11	accept	accept	VERB
easat-2753	216	12	4.97	4.97	NUM
easat-2753	216	13	6.46	6.46	NUM
easat-2753	216	14	7.37	7.37	NUM
easat-2753	216	15	22	22	NUM
easat-2753	216	16	.	.	PUNCT
easat-2753	216	17	29	29	NUM
easat-2753	216	18	trc2	trc2	NOUN
easat-2753	216	19	p/173	p/173	NOUN
easat-2753	216	20	1	1	NUM
easat-2753	216	21	not	not	PART
easat-2753	216	22	accept	accept	AUX
easat-2753	216	23	not	not	PART
easat-2753	216	24	accept	accept	AUX
easat-2753	216	25	not	not	PART
easat-2753	216	26	accept	accept	VERB
easat-2753	216	27	5.17	5.17	NUM
easat-2753	216	28	6.37	6.37	NUM
easat-2753	216	29	7.36	7.36	NUM
easat-2753	216	30	23	23	NUM
easat-2753	216	31	.	.	PUNCT
easat-2753	217	1	30	30	NUM
easat-2753	217	2	trc3	trc3	NOUN
easat-2753	217	3	p/174	p/174	ADV
easat-2753	217	4	1	1	NUM
easat-2753	217	5	not	not	PART
easat-2753	217	6	accept	accept	AUX
easat-2753	217	7	not	not	PART
easat-2753	217	8	accept	accept	AUX
easat-2753	217	9	not	not	PART
easat-2753	217	10	accept	accept	VERB
easat-2753	217	11	5.43	5.43	NUM
easat-2753	217	12	7.23	7.23	NUM
easat-2753	217	13	8.28	8.28	NUM
easat-2753	217	14	3551	3551	NUM
easat-2753	217	15	edelweiss	edelweiss	PROPN
easat-2753	217	16	applied	apply	VERB
easat-2753	217	17	science	science	NOUN
easat-2753	217	18	and	and	CCONJ
easat-2753	217	19	technology	technology	NOUN
easat-2753	217	20	issn	issn	PROPN
easat-2753	217	21	:	:	PUNCT
easat-2753	217	22	2576	2576	NUM
easat-2753	217	23	-	-	SYM
easat-2753	217	24	8484	8484	NUM
easat-2753	217	25	vol	vol	NOUN
easat-2753	217	26	.	.	PROPN
easat-2753	217	27	8	8	NUM
easat-2753	217	28	,	,	PUNCT
easat-2753	217	29	no	no	INTJ
easat-2753	217	30	.	.	NOUN
easat-2753	217	31	6	6	NUM
easat-2753	217	32	:	:	SYM
easat-2753	217	33	3542	3542	NUM
easat-2753	217	34	-	-	SYM
easat-2753	217	35	3555	3555	NUM
easat-2753	217	36	,	,	PUNCT
easat-2753	217	37	2024	2024	NUM
easat-2753	217	38	doi	doi	NOUN
easat-2753	217	39	:	:	PUNCT
easat-2753	217	40	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	217	41	©	©	PROPN
easat-2753	217	42	2024	2024	NUM
easat-2753	217	43	by	by	ADP
easat-2753	217	44	the	the	DET
easat-2753	217	45	authors	author	NOUN
easat-2753	217	46	;	;	PUNCT
easat-2753	217	47	licensee	licensee	PROPN
easat-2753	217	48	learning	learning	NOUN
easat-2753	217	49	gate	gate	NOUN
easat-2753	217	50	no	no	INTJ
easat-2753	217	51	.	.	PUNCT
easat-2753	218	1	wells	well	NOUN
easat-2753	218	2	well	well	INTJ
easat-2753	218	3	name	name	INTJ
easat-2753	218	4	well	well	INTJ
easat-2753	218	5	no	no	INTJ
easat-2753	218	6	.	.	PUNCT
easat-2753	219	1	k	k	ADJ
easat-2753	219	2	-	-	PUNCT
easat-2753	219	3	cluster	cluster	NOUN
easat-2753	219	4	nitrate	nitrate	NOUN
easat-2753	219	5	guideline	guideline	NOUN
easat-2753	219	6	t.d.s	t.d.s	PROPN
easat-2753	219	7	guideline	guideline	PROPN
easat-2753	219	8	chloride	chloride	PROPN
easat-2753	219	9	guideline	guideline	NOUN
easat-2753	219	10	nitrate	nitrate	NOUN
easat-2753	219	11	chloride	chloride	NOUN
easat-2753	219	12	t.d.s	t.d.s	PROPN
easat-2753	219	13	24	24	NUM
easat-2753	219	14	.	.	PUNCT
easat-2753	219	15	31	31	NUM
easat-2753	220	1	al	al	PROPN
easat-2753	220	2	shaout	shaout	VERB
easat-2753	220	3	alshaout	alshaout	ADP
easat-2753	220	4	1	1	NUM
easat-2753	220	5	not	not	PART
easat-2753	220	6	accept	accept	AUX
easat-2753	220	7	not	not	PART
easat-2753	220	8	accept	accept	AUX
easat-2753	220	9	not	not	PART
easat-2753	220	10	accept	accept	VERB
easat-2753	220	11	4.32	4.32	NUM
easat-2753	220	12	8.91	8.91	NUM
easat-2753	220	13	9.52	9.52	NUM
easat-2753	220	14	25	25	NUM
easat-2753	220	15	.	.	PUNCT
easat-2753	221	1	32	32	NUM
easat-2753	221	2	w01	w01	NOUN
easat-2753	221	3	/al	/al	NOUN
easat-2753	221	4	jadied	jadie	VERB
easat-2753	221	5	1	1	NUM
easat-2753	221	6	w01	w01	NOUN
easat-2753	221	7	1	1	NUM
easat-2753	221	8	not	not	PART
easat-2753	221	9	accept	accept	AUX
easat-2753	221	10	not	not	PART
easat-2753	221	11	accept	accept	AUX
easat-2753	221	12	not	not	PART
easat-2753	221	13	accept	accept	VERB
easat-2753	221	14	4.09	4.09	NUM
easat-2753	221	15	8.18	8.18	NUM
easat-2753	221	16	9.00	9.00	NUM
easat-2753	221	17	26	26	NUM
easat-2753	221	18	.	.	PUNCT
easat-2753	222	1	34	34	NUM
easat-2753	222	2	muraj	muraj	NOUN
easat-2753	222	3	muraj	muraj	AUX
easat-2753	222	4	1	1	NUM
easat-2753	222	5	not	not	PART
easat-2753	222	6	accept	accept	AUX
easat-2753	222	7	not	not	PART
easat-2753	222	8	accept	accept	AUX
easat-2753	222	9	not	not	PART
easat-2753	222	10	accept	accept	VERB
easat-2753	222	11	5.56	5.56	NUM
easat-2753	222	12	6.32	6.32	NUM
easat-2753	222	13	7.32	7.32	NUM
easat-2753	222	14	27	27	NUM
easat-2753	222	15	.	.	PUNCT
easat-2753	222	16	35	35	NUM
easat-2753	222	17	talalsultan	talalsultan	NOUN
easat-2753	222	18	/	/	SYM
easat-2753	222	19	pwa	pwa	PROPN
easat-2753	222	20	p/148	p/148	NOUN
easat-2753	222	21	1	1	NUM
easat-2753	222	22	not	not	PART
easat-2753	222	23	accept	accept	AUX
easat-2753	222	24	not	not	PART
easat-2753	222	25	accept	accept	AUX
easat-2753	222	26	not	not	PART
easat-2753	222	27	accept	accept	VERB
easat-2753	222	28	5.61	5.61	NUM
easat-2753	222	29	6.34	6.34	NUM
easat-2753	222	30	7.27	7.27	NUM
easat-2753	222	31	28	28	NUM
easat-2753	222	32	.	.	PUNCT
easat-2753	223	1	36	36	NUM
easat-2753	223	2	talalsultan	talalsultan	ADJ
easat-2753	223	3	/	/	SYM
easat-2753	223	4	pwa	pwa	PROPN
easat-2753	223	5	p/148	p/148	NOUN
easat-2753	223	6	1	1	NUM
easat-2753	223	7	not	not	PART
easat-2753	223	8	accept	accept	AUX
easat-2753	223	9	not	not	PART
easat-2753	223	10	accept	accept	AUX
easat-2753	223	11	not	not	PART
easat-2753	223	12	accept	accept	VERB
easat-2753	223	13	5.55	5.55	NUM
easat-2753	223	14	6.87	6.87	NUM
easat-2753	223	15	8.05	8.05	NUM
easat-2753	223	16	1	1	NUM
easat-2753	223	17	.	.	PUNCT
easat-2753	223	18	37	37	NUM
easat-2753	223	19	unrwa	unrwa	PROPN
easat-2753	223	20	rafah	rafah	NOUN
easat-2753	223	21	p/10	p/10	PROPN
easat-2753	223	22	2	2	NUM
easat-2753	223	23	not	not	PART
easat-2753	223	24	accept	accept	AUX
easat-2753	223	25	not	not	PART
easat-2753	223	26	accept	accept	AUX
easat-2753	223	27	not	not	PART
easat-2753	223	28	accept	accept	VERB
easat-2753	223	29	4.62	4.62	NUM
easat-2753	223	30	4.61	4.61	NUM
easat-2753	223	31	6.11	6.11	NUM
easat-2753	223	32	2	2	NUM
easat-2753	223	33	.	.	PUNCT
easat-2753	223	34	33	33	NUM
easat-2753	223	35	ibn	ibn	NOUN
easat-2753	223	36	taimiya	taimiya	NOUN
easat-2753	223	37	ibntaimiya	ibntaimiya	NOUN
easat-2753	223	38	2	2	NUM
easat-2753	223	39	not	not	PART
easat-2753	223	40	accept	accept	AUX
easat-2753	223	41	not	not	PART
easat-2753	223	42	accept	accept	AUX
easat-2753	223	43	not	not	PART
easat-2753	223	44	accept	accept	VERB
easat-2753	223	45	4.46	4.46	NUM
easat-2753	223	46	5.45	5.45	NUM
easat-2753	223	47	6.67	6.67	NUM
easat-2753	223	48	3	3	NUM
easat-2753	223	49	.	.	SYM
easat-2753	223	50	27	27	NUM
easat-2753	223	51	tika	tika	X
easat-2753	223	52	tika	tika	X
easat-2753	223	53	2	2	NUM
easat-2753	223	54	not	not	PART
easat-2753	223	55	accept	accept	AUX
easat-2753	223	56	not	not	PART
easat-2753	223	57	accept	accept	AUX
easat-2753	223	58	not	not	PART
easat-2753	223	59	accept	accept	VERB
easat-2753	223	60	4.62	4.62	NUM
easat-2753	223	61	5.14	5.14	NUM
easat-2753	223	62	6.27	6.27	NUM
easat-2753	223	63	4	4	NUM
easat-2753	223	64	.	.	SYM
easat-2753	223	65	28	28	NUM
easat-2753	223	66	trc1	trc1	PROPN
easat-2753	223	67	p/172	p/172	NOUN
easat-2753	223	68	2	2	NUM
easat-2753	223	69	not	not	PART
easat-2753	223	70	accept	accept	AUX
easat-2753	223	71	not	not	PART
easat-2753	223	72	accept	accept	AUX
easat-2753	223	73	not	not	PART
easat-2753	223	74	accept	accept	VERB
easat-2753	223	75	3.69	3.69	NUM
easat-2753	223	76	5.71	5.71	NUM
easat-2753	223	77	6.76	6.76	NUM
easat-2753	223	78	5	5	NUM
easat-2753	223	79	.	.	SYM
easat-2753	223	80	15	15	NUM
easat-2753	223	81	trc2	trc2	NOUN
easat-2753	223	82	p/173	p/173	NOUN
easat-2753	223	83	2	2	NUM
easat-2753	223	84	not	not	PART
easat-2753	223	85	accept	accept	AUX
easat-2753	223	86	not	not	PART
easat-2753	223	87	accept	accept	AUX
easat-2753	223	88	not	not	PART
easat-2753	223	89	accept	accept	VERB
easat-2753	223	90	3.71	3.71	NUM
easat-2753	223	91	5.57	5.57	NUM
easat-2753	223	92	6.61	6.61	NUM
easat-2753	223	93	6	6	NUM
easat-2753	223	94	.	.	PUNCT
easat-2753	223	95	12	12	NUM
easat-2753	223	96	al	al	PROPN
easat-2753	223	97	eskan	eskan	PROPN
easat-2753	223	98	p/153	p/153	VERB
easat-2753	223	99	2	2	NUM
easat-2753	223	100	not	not	PART
easat-2753	223	101	accept	accept	AUX
easat-2753	223	102	not	not	PART
easat-2753	223	103	accept	accept	AUX
easat-2753	223	104	not	not	PART
easat-2753	223	105	accept	accept	VERB
easat-2753	223	106	4.68	4.68	NUM
easat-2753	223	107	5.44	5.44	NUM
easat-2753	223	108	6.46	6.46	NUM
easat-2753	223	109	7	7	NUM
easat-2753	223	110	.	.	SYM
easat-2753	223	111	6	6	NUM
easat-2753	223	112	malaysian	malaysian	ADJ
easat-2753	223	113	malaysian	malaysian	NOUN
easat-2753	223	114	2	2	NUM
easat-2753	223	115	not	not	PART
easat-2753	223	116	accept	accept	AUX
easat-2753	223	117	not	not	PART
easat-2753	223	118	accept	accept	AUX
easat-2753	223	119	not	not	PART
easat-2753	223	120	accept	accept	VERB
easat-2753	223	121	5.56	5.56	NUM
easat-2753	223	122	4.47	4.47	NUM
easat-2753	223	123	6.57	6.57	NUM
easat-2753	223	124	8	8	NUM
easat-2753	223	125	.	.	PUNCT
easat-2753	223	126	3	3	NUM
easat-2753	223	127	al	al	PROPN
easat-2753	223	128	naser	naser	PROPN
easat-2753	223	129	2	2	NUM
easat-2753	223	130	al	al	PROPN
easat-2753	223	131	naser	naser	PROPN
easat-2753	223	132	2	2	NUM
easat-2753	223	133	2	2	NUM
easat-2753	223	134	not	not	PART
easat-2753	223	135	accept	accept	AUX
easat-2753	223	136	not	not	PART
easat-2753	223	137	accept	accept	AUX
easat-2753	223	138	not	not	PART
easat-2753	223	139	accept	accept	VERB
easat-2753	223	140	4.40	4.40	NUM
easat-2753	223	141	5.33	5.33	NUM
easat-2753	223	142	6.58	6.58	NUM
easat-2753	223	143	9	9	NUM
easat-2753	223	144	.	.	SYM
easat-2753	223	145	1	1	NUM
easat-2753	223	146	al	al	PROPN
easat-2753	223	147	naser	naser	PROPN
easat-2753	223	148	3	3	NUM
easat-2753	223	149	p/169	p/169	PROPN
easat-2753	223	150	2	2	NUM
easat-2753	223	151	not	not	PART
easat-2753	223	152	accept	accept	AUX
easat-2753	223	153	not	not	PART
easat-2753	223	154	accept	accept	AUX
easat-2753	223	155	not	not	PART
easat-2753	223	156	accept	accept	VERB
easat-2753	223	157	4.33	4.33	NUM
easat-2753	223	158	4.77	4.77	NUM
easat-2753	223	159	6.08	6.08	NUM
easat-2753	223	160	3552	3552	NUM
easat-2753	223	161	edelweiss	edelweiss	PROPN
easat-2753	223	162	applied	apply	VERB
easat-2753	223	163	science	science	NOUN
easat-2753	223	164	and	and	CCONJ
easat-2753	223	165	technology	technology	NOUN
easat-2753	223	166	issn	issn	PROPN
easat-2753	223	167	:	:	PUNCT
easat-2753	223	168	2576	2576	NUM
easat-2753	223	169	-	-	SYM
easat-2753	223	170	8484	8484	NUM
easat-2753	223	171	vol	vol	NOUN
easat-2753	223	172	.	.	PROPN
easat-2753	224	1	8	8	NUM
easat-2753	224	2	,	,	PUNCT
easat-2753	224	3	no	no	INTJ
easat-2753	224	4	.	.	NOUN
easat-2753	225	1	6	6	NUM
easat-2753	225	2	:	:	SYM
easat-2753	225	3	3542	3542	NUM
easat-2753	225	4	-	-	SYM
easat-2753	225	5	3555	3555	NUM
easat-2753	225	6	,	,	PUNCT
easat-2753	225	7	2024	2024	NUM
easat-2753	225	8	doi	doi	NOUN
easat-2753	225	9	:	:	PUNCT
easat-2753	225	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	225	11	©	©	PROPN
easat-2753	225	12	2024	2024	NUM
easat-2753	225	13	by	by	ADP
easat-2753	225	14	the	the	DET
easat-2753	225	15	authors	author	NOUN
easat-2753	225	16	;	;	PUNCT
easat-2753	225	17	licensee	licensee	PROPN
easat-2753	225	18	learning	learning	NOUN
easat-2753	225	19	gate	gate	NOUN
easat-2753	225	20	therefore	therefore	ADV
easat-2753	225	21	,	,	PUNCT
easat-2753	225	22	a	a	DET
easat-2753	225	23	test	test	NOUN
easat-2753	225	24	of	of	ADP
easat-2753	225	25	homogeneity	homogeneity	NOUN
easat-2753	225	26	between	between	ADP
easat-2753	225	27	the	the	DET
easat-2753	225	28	first	first	ADJ
easat-2753	225	29	cluster	cluster	NOUN
easat-2753	225	30	group	group	NOUN
easat-2753	225	31	and	and	CCONJ
easat-2753	225	32	the	the	DET
easat-2753	225	33	second	second	ADJ
easat-2753	225	34	cluster	cluster	NOUN
easat-2753	225	35	group	group	NOUN
easat-2753	225	36	has	have	AUX
easat-2753	225	37	been	be	AUX
easat-2753	225	38	done	do	VERB
easat-2753	225	39	.	.	PUNCT
easat-2753	226	1	results	result	NOUN
easat-2753	226	2	are	be	AUX
easat-2753	226	3	given	give	VERB
easat-2753	226	4	in	in	ADP
easat-2753	226	5	table	table	NOUN
easat-2753	226	6	8	8	NUM
easat-2753	226	7	for	for	ADP
easat-2753	226	8	the	the	DET
easat-2753	226	9	three	three	NUM
easat-2753	226	10	chemical	chemical	NOUN
easat-2753	226	11	compounds	compound	NOUN
easat-2753	226	12	and	and	CCONJ
easat-2753	226	13	conclude	conclude	VERB
easat-2753	226	14	that	that	SCONJ
easat-2753	226	15	•	•	CCONJ
easat-2753	226	16	there	there	PRON
easat-2753	226	17	are	be	VERB
easat-2753	226	18	significant	significant	ADJ
easat-2753	226	19	differences	difference	NOUN
easat-2753	226	20	in	in	ADP
easat-2753	226	21	means	mean	NOUN
easat-2753	226	22	for	for	ADP
easat-2753	226	23	tds	td	VERB
easat-2753	226	24	between	between	ADP
easat-2753	226	25	the	the	DET
easat-2753	226	26	first	first	ADJ
easat-2753	226	27	cluster	cluster	NOUN
easat-2753	226	28	and	and	CCONJ
easat-2753	226	29	second	second	ADJ
easat-2753	226	30	cluster	cluster	NOUN
easat-2753	226	31	with	with	ADP
easat-2753	226	32	a	a	DET
easat-2753	226	33	significant	significant	ADJ
easat-2753	226	34	level	level	NOUN
easat-2753	226	35	less	less	ADJ
easat-2753	226	36	than	than	ADP
easat-2753	226	37	0.01	0.01	NUM
easat-2753	226	38	and	and	CCONJ
easat-2753	226	39	ttest	tt	ADJ
easat-2753	226	40	=	=	NOUN
easat-2753	227	1	7.679	7.679	NUM
easat-2753	227	2	.	.	PUNCT
easat-2753	228	1	•	•	NOUN
easat-2753	228	2	there	there	PRON
easat-2753	228	3	are	be	VERB
easat-2753	228	4	significant	significant	ADJ
easat-2753	228	5	differences	difference	NOUN
easat-2753	228	6	in	in	ADP
easat-2753	228	7	means	mean	NOUN
easat-2753	228	8	for	for	ADP
easat-2753	228	9	chloride	chloride	NOUN
easat-2753	228	10	between	between	ADP
easat-2753	228	11	the	the	DET
easat-2753	228	12	first	first	ADJ
easat-2753	228	13	cluster	cluster	NOUN
easat-2753	228	14	and	and	CCONJ
easat-2753	228	15	second	second	ADJ
easat-2753	228	16	cluster	cluster	NOUN
easat-2753	228	17	with	with	ADP
easat-2753	228	18	a	a	DET
easat-2753	228	19	significant	significant	ADJ
easat-2753	228	20	level	level	NOUN
easat-2753	228	21	less	less	ADJ
easat-2753	228	22	than	than	ADP
easat-2753	228	23	0.01	0.01	NUM
easat-2753	228	24	and	and	CCONJ
easat-2753	228	25	ttest	tt	ADJ
easat-2753	228	26	=	=	NOUN
easat-2753	228	27	7.682	7.682	NUM
easat-2753	228	28	.	.	PUNCT
easat-2753	229	1	•	•	NOUN
easat-2753	229	2	there	there	PRON
easat-2753	229	3	are	be	VERB
easat-2753	229	4	significant	significant	ADJ
easat-2753	229	5	differences	difference	NOUN
easat-2753	229	6	in	in	ADP
easat-2753	229	7	means	mean	NOUN
easat-2753	229	8	for	for	ADP
easat-2753	229	9	nitrate	nitrate	NOUN
easat-2753	229	10	between	between	ADP
easat-2753	229	11	the	the	DET
easat-2753	229	12	first	first	ADJ
easat-2753	229	13	cluster	cluster	NOUN
easat-2753	229	14	and	and	CCONJ
easat-2753	229	15	second	second	ADJ
easat-2753	229	16	cluster	cluster	NOUN
easat-2753	229	17	with	with	ADP
easat-2753	229	18	a	a	DET
easat-2753	229	19	significant	significant	ADJ
easat-2753	229	20	level	level	NOUN
easat-2753	229	21	less	less	ADJ
easat-2753	229	22	than	than	ADP
easat-2753	229	23	0.05	0.05	NUM
easat-2753	229	24	and	and	CCONJ
easat-2753	229	25	ttest	tt	ADJ
easat-2753	229	26	=	=	SYM
easat-2753	229	27	2.629	2.629	NUM
easat-2753	229	28	.	.	PUNCT
easat-2753	229	29	table	table	NOUN
easat-2753	229	30	8	8	NUM
easat-2753	229	31	.	.	PUNCT
easat-2753	230	1	t	t	NOUN
easat-2753	230	2	-	-	PUNCT
easat-2753	230	3	test	test	NOUN
easat-2753	230	4	for	for	ADP
easat-2753	230	5	chemical	chemical	ADJ
easat-2753	230	6	compounds	compound	NOUN
easat-2753	230	7	in	in	ADP
easat-2753	230	8	rafah	rafah	NOUN
easat-2753	230	9	(	(	PUNCT
easat-2753	230	10	2020	2020	NUM
easat-2753	230	11	)	)	PUNCT
easat-2753	230	12	.	.	PUNCT
easat-2753	231	1	n	n	PRON
easat-2753	231	2	mean	mean	VERB
easat-2753	231	3	std	std	X
easat-2753	231	4	.	.	PUNCT
easat-2753	232	1	deviation	deviation	NOUN
easat-2753	232	2	t	t	PROPN
easat-2753	232	3	sig	sig	NOUN
easat-2753	232	4	.	.	PUNCT
easat-2753	233	1	t.d.s	t.d.s	PROPN
easat-2753	233	2	1.00	1.00	NUM
easat-2753	233	3	28	28	NUM
easat-2753	233	4	8.0391	8.0391	NUM
easat-2753	233	5	0.59704	0.59704	NUM
easat-2753	233	6	7.679	7.679	NUM
easat-2753	233	7	0.000	0.000	NUM
easat-2753	233	8	2.00	2.00	NUM
easat-2753	233	9	9	9	NUM
easat-2753	233	10	6.4577	6.4577	NUM
easat-2753	233	11	0.24615	0.24615	NUM
easat-2753	233	12	chloride	chloride	NOUN
easat-2753	233	13	1.00	1.00	NUM
easat-2753	233	14	28	28	NUM
easat-2753	233	15	7.0984	7.0984	NUM
easat-2753	233	16	0.70717	0.70717	NUM
easat-2753	233	17	7.682	7.682	NUM
easat-2753	233	18	0.000	0.000	NUM
easat-2753	233	19	2.00	2.00	NUM
easat-2753	233	20	9	9	NUM
easat-2753	233	21	5.1644	5.1644	NUM
easat-2753	233	22	0.44780	0.44780	NUM
easat-2753	233	23	nitrate	nitrate	NOUN
easat-2753	233	24	1.00	1.00	NUM
easat-2753	233	25	28	28	NUM
easat-2753	233	26	5.0471	5.0471	NUM
easat-2753	233	27	0.59694	0.59694	NUM
easat-2753	233	28	2.629	2.629	NUM
easat-2753	233	29	0.013	0.013	NUM
easat-2753	233	30	2.00	2.00	NUM
easat-2753	233	31	9	9	NUM
easat-2753	233	32	4.4545	4.4545	NUM
easat-2753	233	33	0.55760	0.55760	NUM
easat-2753	233	34	10	10	NUM
easat-2753	233	35	.	.	PUNCT
easat-2753	234	1	stability	stability	NOUN
easat-2753	234	2	validation	validation	NOUN
easat-2753	234	3	measures	measure	NOUN
easat-2753	234	4	the	the	DET
easat-2753	234	5	stability	stability	NOUN
easat-2753	234	6	measures	measure	NOUN
easat-2753	234	7	compare	compare	VERB
easat-2753	234	8	the	the	DET
easat-2753	234	9	results	result	NOUN
easat-2753	234	10	from	from	ADP
easat-2753	234	11	clustering	cluster	VERB
easat-2753	234	12	based	base	VERB
easat-2753	234	13	on	on	ADP
easat-2753	234	14	the	the	DET
easat-2753	234	15	full	full	ADJ
easat-2753	234	16	data	datum	NOUN
easat-2753	234	17	to	to	ADP
easat-2753	234	18	clustering	clustering	NOUN
easat-2753	234	19	based	base	VERB
easat-2753	234	20	on	on	ADP
easat-2753	234	21	removing	remove	VERB
easat-2753	234	22	each	each	DET
easat-2753	234	23	column	column	NOUN
easat-2753	234	24	,	,	PUNCT
easat-2753	234	25	one	one	NUM
easat-2753	234	26	at	at	ADP
easat-2753	234	27	a	a	DET
easat-2753	234	28	time	time	NOUN
easat-2753	234	29	.	.	PUNCT
easat-2753	235	1	these	these	DET
easat-2753	235	2	measures	measure	NOUN
easat-2753	235	3	work	work	VERB
easat-2753	235	4	especially	especially	ADV
easat-2753	235	5	well	well	ADV
easat-2753	235	6	if	if	SCONJ
easat-2753	235	7	the	the	DET
easat-2753	235	8	data	datum	NOUN
easat-2753	235	9	are	be	AUX
easat-2753	235	10	highly	highly	ADV
easat-2753	235	11	correlated	correlate	VERB
easat-2753	235	12	,	,	PUNCT
easat-2753	235	13	which	which	PRON
easat-2753	235	14	is	be	AUX
easat-2753	235	15	often	often	ADV
easat-2753	235	16	the	the	DET
easat-2753	235	17	case	case	NOUN
easat-2753	235	18	in	in	ADP
easat-2753	235	19	high	high	ADJ
easat-2753	235	20	-	-	PUNCT
easat-2753	235	21	throughput	throughput	NOUN
easat-2753	235	22	genomics	genomic	NOUN
easat-2753	235	23	data	datum	NOUN
easat-2753	235	24	.	.	PUNCT
easat-2753	236	1	there	there	PRON
easat-2753	236	2	are	be	VERB
easat-2753	236	3	four	four	NUM
easat-2753	236	4	measures	measure	NOUN
easat-2753	236	5	given	give	VERB
easat-2753	236	6	by	by	ADP
easat-2753	236	7	brock	brock	PROPN
easat-2753	236	8	et	et	PROPN
easat-2753	236	9	al	al	PROPN
easat-2753	236	10	.	.	PROPN
easat-2753	237	1	(	(	PUNCT
easat-2753	237	2	2008	2008	NUM
easat-2753	237	3	)	)	PUNCT
easat-2753	237	4	,	,	PUNCT
easat-2753	237	5	datta	datta	NOUN
easat-2753	237	6	(	(	PUNCT
easat-2753	237	7	2006	2006	NUM
easat-2753	237	8	)	)	PUNCT
easat-2753	237	9	and	and	CCONJ
easat-2753	237	10	yeung	yeung	PROPN
easat-2753	237	11	et	et	PROPN
easat-2753	237	12	al	al	PROPN
easat-2753	237	13	.	.	PROPN
easat-2753	238	1	(	(	PUNCT
easat-2753	238	2	2001	2001	NUM
easat-2753	238	3	)	)	PUNCT
easat-2753	238	4	.	.	PUNCT
easat-2753	239	1	in	in	ADP
easat-2753	239	2	all	all	DET
easat-2753	239	3	cases	case	NOUN
easat-2753	239	4	the	the	DET
easat-2753	239	5	average	average	NOUN
easat-2753	239	6	is	be	AUX
easat-2753	239	7	taken	take	VERB
easat-2753	239	8	over	over	ADP
easat-2753	239	9	all	all	DET
easat-2753	239	10	the	the	DET
easat-2753	239	11	deleted	delete	VERB
easat-2753	239	12	columns	column	NOUN
easat-2753	239	13	,	,	PUNCT
easat-2753	239	14	and	and	CCONJ
easat-2753	239	15	all	all	DET
easat-2753	239	16	measures	measure	NOUN
easat-2753	239	17	should	should	AUX
easat-2753	239	18	be	be	AUX
easat-2753	239	19	minimized	minimize	VERB
easat-2753	239	20	.	.	PUNCT
easat-2753	240	1	10.1	10.1	NUM
easat-2753	240	2	.	.	PUNCT
easat-2753	240	3	average	average	ADJ
easat-2753	240	4	proportion	proportion	NOUN
easat-2753	240	5	of	of	ADP
easat-2753	240	6	non	non	ADJ
easat-2753	240	7	-	-	ADJ
easat-2753	240	8	overlap	overlap	ADJ
easat-2753	240	9	(	(	PUNCT
easat-2753	240	10	apn	apn	PROPN
easat-2753	240	11	)	)	PUNCT
easat-2753	240	12	the	the	DET
easat-2753	240	13	np	np	INTJ
easat-2753	240	14	which	which	PRON
easat-2753	240	15	measures	measure	VERB
easat-2753	240	16	the	the	DET
easat-2753	240	17	average	average	ADJ
easat-2753	240	18	proportion	proportion	NOUN
easat-2753	240	19	of	of	ADP
easat-2753	240	20	observations	observation	NOUN
easat-2753	240	21	not	not	PART
easat-2753	240	22	placed	place	VERB
easat-2753	240	23	in	in	ADP
easat-2753	240	24	the	the	DET
easat-2753	240	25	same	same	ADJ
easat-2753	240	26	cluster	cluster	NOUN
easat-2753	240	27	by	by	ADP
easat-2753	240	28	clustering	cluster	VERB
easat-2753	240	29	based	base	VERB
easat-2753	240	30	on	on	ADP
easat-2753	240	31	the	the	DET
easat-2753	240	32	full	full	ADJ
easat-2753	240	33	data	datum	NOUN
easat-2753	240	34	and	and	CCONJ
easat-2753	240	35	clustering	clustering	NOUN
easat-2753	240	36	based	base	VERB
easat-2753	240	37	on	on	ADP
easat-2753	240	38	the	the	DET
easat-2753	240	39	data	datum	NOUN
easat-2753	240	40	with	with	ADP
easat-2753	240	41	a	a	DET
easat-2753	240	42	single	single	ADJ
easat-2753	240	43	column	column	NOUN
easat-2753	240	44	removed	remove	VERB
easat-2753	240	45	.	.	PUNCT
easat-2753	241	1	10.2	10.2	NUM
easat-2753	241	2	.	.	PUNCT
easat-2753	242	1	average	average	ADJ
easat-2753	242	2	distance	distance	NOUN
easat-2753	242	3	(	(	PUNCT
easat-2753	242	4	ad	ad	NOUN
easat-2753	242	5	)	)	PUNCT
easat-2753	242	6	th	th	NOUN
easat-2753	242	7	ad	ad	NOUN
easat-2753	242	8	measure	measure	NOUN
easat-2753	242	9	computes	compute	VERB
easat-2753	242	10	the	the	DET
easat-2753	242	11	average	average	ADJ
easat-2753	242	12	distance	distance	NOUN
easat-2753	242	13	between	between	ADP
easat-2753	242	14	observations	observation	NOUN
easat-2753	242	15	placed	place	VERB
easat-2753	242	16	in	in	ADP
easat-2753	242	17	the	the	DET
easat-2753	242	18	same	same	ADJ
easat-2753	242	19	cluster	cluster	NOUN
easat-2753	242	20	by	by	ADP
easat-2753	242	21	clustering	cluster	VERB
easat-2753	242	22	based	base	VERB
easat-2753	242	23	on	on	ADP
easat-2753	242	24	the	the	DET
easat-2753	242	25	full	full	ADJ
easat-2753	242	26	data	datum	NOUN
easat-2753	242	27	and	and	CCONJ
easat-2753	242	28	clustering	clustering	NOUN
easat-2753	242	29	based	base	VERB
easat-2753	242	30	on	on	ADP
easat-2753	242	31	the	the	DET
easat-2753	242	32	data	datum	NOUN
easat-2753	242	33	with	with	ADP
easat-2753	242	34	a	a	DET
easat-2753	242	35	single	single	ADJ
easat-2753	242	36	column	column	NOUN
easat-2753	242	37	removed	remove	VERB
easat-2753	242	38	.	.	PUNCT
easat-2753	243	1	ad	ad	NOUN
easat-2753	243	2	has	have	VERB
easat-2753	243	3	a	a	DET
easat-2753	243	4	value	value	NOUN
easat-2753	243	5	between	between	ADP
easat-2753	243	6	zero	zero	NUM
easat-2753	243	7	and	and	CCONJ
easat-2753	243	8	∞	∞	NUM
easat-2753	243	9	,	,	PUNCT
easat-2753	243	10	and	and	CCONJ
easat-2753	243	11	smaller	small	ADJ
easat-2753	243	12	values	value	NOUN
easat-2753	243	13	are	be	AUX
easat-2753	243	14	preferred	prefer	VERB
easat-2753	243	15	10.3	10.3	NUM
easat-2753	243	16	.	.	PUNCT
easat-2753	244	1	average	average	ADJ
easat-2753	244	2	distance	distance	NOUN
easat-2753	244	3	between	between	ADP
easat-2753	244	4	means	mean	NOUN
easat-2753	244	5	(	(	PUNCT
easat-2753	244	6	adm	adm	PROPN
easat-2753	244	7	)	)	PUNCT
easat-2753	244	8	the	the	DET
easat-2753	244	9	adm	adm	PROPN
easat-2753	244	10	measure	measure	NOUN
easat-2753	244	11	computes	compute	VERB
easat-2753	244	12	the	the	DET
easat-2753	244	13	average	average	ADJ
easat-2753	244	14	distance	distance	NOUN
easat-2753	244	15	between	between	ADP
easat-2753	244	16	cluster	cluster	NOUN
easat-2753	244	17	centers	center	NOUN
easat-2753	244	18	for	for	ADP
easat-2753	244	19	observations	observation	NOUN
easat-2753	244	20	placed	place	VERB
easat-2753	244	21	in	in	ADP
easat-2753	244	22	the	the	DET
easat-2753	244	23	same	same	ADJ
easat-2753	244	24	cluster	cluster	NOUN
easat-2753	244	25	by	by	ADP
easat-2753	244	26	clustering	cluster	VERB
easat-2753	244	27	based	base	VERB
easat-2753	244	28	on	on	ADP
easat-2753	244	29	the	the	DET
easat-2753	244	30	full	full	ADJ
easat-2753	244	31	data	datum	NOUN
easat-2753	244	32	and	and	CCONJ
easat-2753	244	33	clustering	clustering	NOUN
easat-2753	244	34	based	base	VERB
easat-2753	244	35	on	on	ADP
easat-2753	244	36	the	the	DET
easat-2753	244	37	data	datum	NOUN
easat-2753	244	38	with	with	ADP
easat-2753	244	39	a	a	DET
easat-2753	244	40	single	single	ADJ
easat-2753	244	41	column	column	NOUN
easat-2753	244	42	removed	remove	VERB
easat-2753	244	43	.	.	PUNCT
easat-2753	245	1	currently	currently	ADV
easat-2753	245	2	,	,	PUNCT
easat-2753	245	3	adm	adm	PROPN
easat-2753	245	4	only	only	ADV
easat-2753	245	5	uses	use	VERB
easat-2753	245	6	the	the	DET
easat-2753	245	7	euclidean	euclidean	ADJ
easat-2753	245	8	distance	distance	NOUN
easat-2753	245	9	.	.	PUNCT
easat-2753	246	1	it	it	PRON
easat-2753	246	2	also	also	ADV
easat-2753	246	3	has	have	VERB
easat-2753	246	4	a	a	DET
easat-2753	246	5	value	value	NOUN
easat-2753	246	6	between	between	ADP
easat-2753	246	7	zero	zero	NUM
easat-2753	246	8	and	and	CCONJ
easat-2753	246	9	∞	∞	NUM
easat-2753	246	10	,	,	PUNCT
easat-2753	246	11	and	and	CCONJ
easat-2753	246	12	again	again	ADV
easat-2753	246	13	smaller	small	ADJ
easat-2753	246	14	values	value	NOUN
easat-2753	246	15	are	be	AUX
easat-2753	246	16	preferred	prefer	VERB
easat-2753	246	17	.	.	PUNCT
easat-2753	247	1	10.4	10.4	NUM
easat-2753	247	2	.	.	PUNCT
easat-2753	247	3	figure	figure	NOUN
easat-2753	247	4	of	of	ADP
easat-2753	247	5	merit	merit	NOUN
easat-2753	247	6	(	(	PUNCT
easat-2753	247	7	fom	fom	NOUN
easat-2753	247	8	)	)	PUNCT
easat-2753	247	9	the	the	DET
easat-2753	247	10	fom	fom	NOUN
easat-2753	247	11	measures	measure	VERB
easat-2753	247	12	the	the	DET
easat-2753	247	13	average	average	ADJ
easat-2753	247	14	intra	intra	ADJ
easat-2753	247	15	-	-	ADJ
easat-2753	247	16	cluster	cluster	ADJ
easat-2753	247	17	variance	variance	NOUN
easat-2753	247	18	of	of	ADP
easat-2753	247	19	the	the	DET
easat-2753	247	20	observations	observation	NOUN
easat-2753	247	21	in	in	ADP
easat-2753	247	22	the	the	DET
easat-2753	247	23	deleted	delete	VERB
easat-2753	247	24	column	column	NOUN
easat-2753	247	25	,	,	PUNCT
easat-2753	247	26	where	where	SCONJ
easat-2753	247	27	the	the	DET
easat-2753	247	28	clustering	clustering	NOUN
easat-2753	247	29	is	be	AUX
easat-2753	247	30	based	base	VERB
easat-2753	247	31	on	on	ADP
easat-2753	247	32	the	the	DET
easat-2753	247	33	remaining	remain	VERB
easat-2753	247	34	(	(	PUNCT
easat-2753	247	35	undeleted	undeleted	ADJ
easat-2753	247	36	)	)	PUNCT
easat-2753	247	37	samples	sample	NOUN
easat-2753	247	38	.	.	PUNCT
easat-2753	248	1	this	this	PRON
easat-2753	248	2	estimates	estimate	VERB
easat-2753	248	3	the	the	DET
easat-2753	248	4	mean	mean	NOUN
easat-2753	248	5	error	error	NOUN
easat-2753	248	6	using	use	VERB
easat-2753	248	7	predictions	prediction	NOUN
easat-2753	248	8	based	base	VERB
easat-2753	248	9	on	on	ADP
easat-2753	248	10	the	the	DET
easat-2753	248	11	cluster	cluster	NOUN
easat-2753	248	12	averages	average	NOUN
easat-2753	248	13	.	.	PUNCT
easat-2753	249	1	the	the	DET
easat-2753	249	2	final	final	ADJ
easat-2753	249	3	score	score	NOUN
easat-2753	249	4	is	be	AUX
easat-2753	249	5	averaged	average	VERB
easat-2753	249	6	over	over	ADP
easat-2753	249	7	all	all	DET
easat-2753	249	8	the	the	DET
easat-2753	249	9	removed	removed	ADJ
easat-2753	249	10	columns	column	NOUN
easat-2753	249	11	,	,	PUNCT
easat-2753	249	12	and	and	CCONJ
easat-2753	249	13	has	have	VERB
easat-2753	249	14	a	a	DET
easat-2753	249	15	value	value	NOUN
easat-2753	249	16	between	between	ADP
easat-2753	249	17	zero	zero	NUM
easat-2753	249	18	and	and	CCONJ
easat-2753	249	19	∞	∞	NUM
easat-2753	249	20	,	,	PUNCT
easat-2753	249	21	with	with	ADP
easat-2753	249	22	smaller	small	ADJ
easat-2753	249	23	values	value	NOUN
easat-2753	249	24	equaling	equal	VERB
easat-2753	249	25	better	well	ADJ
easat-2753	249	26	performance	performance	NOUN
easat-2753	249	27	.	.	PUNCT
easat-2753	250	1	stability	stability	NOUN
easat-2753	250	2	measures	measure	NOUN
easat-2753	250	3	include	include	VERB
easat-2753	250	4	the	the	DET
easat-2753	250	5	apn	apn	PROPN
easat-2753	250	6	,	,	PUNCT
easat-2753	250	7	ad	ad	NOUN
easat-2753	250	8	,	,	PUNCT
easat-2753	250	9	adm	adm	PROPN
easat-2753	250	10	,	,	PUNCT
easat-2753	250	11	and	and	CCONJ
easat-2753	250	12	fom	fom	NOUN
easat-2753	250	13	.	.	PUNCT
easat-2753	251	1	the	the	DET
easat-2753	251	2	measures	measure	NOUN
easat-2753	251	3	should	should	AUX
easat-2753	251	4	be	be	AUX
easat-2753	251	5	minimized	minimize	VERB
easat-2753	251	6	in	in	ADP
easat-2753	251	7	each	each	DET
easat-2753	251	8	case	case	NOUN
easat-2753	251	9	.	.	PUNCT
easat-2753	252	1	stability	stability	NOUN
easat-2753	252	2	validation	validation	NOUN
easat-2753	252	3	requires	require	VERB
easat-2753	252	4	more	more	ADJ
easat-2753	252	5	time	time	NOUN
easat-2753	252	6	than	than	ADP
easat-2753	252	7	internal	internal	ADJ
easat-2753	252	8	validation	validation	NOUN
easat-2753	252	9	,	,	PUNCT
easat-2753	252	10	since	since	SCONJ
easat-2753	252	11	clustering	cluster	VERB
easat-2753	252	12	needs	need	NOUN
easat-2753	252	13	to	to	PART
easat-2753	252	14	be	be	AUX
easat-2753	252	15	redone	redone	NOUN
easat-2753	252	16	for	for	ADP
easat-2753	252	17	each	each	PRON
easat-2753	252	18	of	of	ADP
easat-2753	252	19	the	the	DET
easat-2753	252	20	datasets	dataset	NOUN
easat-2753	252	21	with	with	ADP
easat-2753	252	22	a	a	DET
easat-2753	252	23	single	single	ADJ
easat-2753	252	24	column	column	NOUN
easat-2753	252	25	removed	remove	VERB
easat-2753	252	26	.	.	PUNCT
easat-2753	253	1	results	result	NOUN
easat-2753	253	2	of	of	ADP
easat-2753	253	3	stability	stability	NOUN
easat-2753	253	4	validation	validation	NOUN
easat-2753	253	5	measures	measure	NOUN
easat-2753	253	6	are	be	AUX
easat-2753	253	7	given	give	VERB
easat-2753	253	8	in	in	ADP
easat-2753	253	9	table	table	NOUN
easat-2753	253	10	9	9	NUM
easat-2753	253	11	and	and	CCONJ
easat-2753	253	12	concludes	conclude	VERB
easat-2753	253	13	that	that	SCONJ
easat-2753	253	14	for	for	ADP
easat-2753	253	15	the	the	DET
easat-2753	253	16	apn	apn	PROPN
easat-2753	253	17	and	and	CCONJ
easat-2753	253	18	adm	adm	PROPN
easat-2753	253	19	measures	measure	NOUN
easat-2753	253	20	,	,	PUNCT
easat-2753	253	21	hierarchical	hierarchical	ADJ
easat-2753	253	22	clustering	clustering	NOUN
easat-2753	253	23	with	with	ADP
easat-2753	253	24	two	two	NUM
easat-2753	253	25	clusters	cluster	NOUN
easat-2753	253	26	again	again	ADV
easat-2753	253	27	gives	give	VERB
easat-2753	253	28	the	the	DET
easat-2753	253	29	best	good	ADJ
easat-2753	253	30	score	score	NOUN
easat-2753	253	31	.	.	PUNCT
easat-2753	254	1	for	for	ADP
easat-2753	254	2	the	the	DET
easat-2753	254	3	other	other	ADJ
easat-2753	254	4	measures	measure	NOUN
easat-2753	254	5	,	,	PUNCT
easat-2753	254	6	hierarchical	hierarchical	ADJ
easat-2753	254	7	with	with	ADP
easat-2753	254	8	two	two	NUM
easat-2753	254	9	clusters	cluster	NOUN
easat-2753	254	10	has	have	VERB
easat-2753	254	11	the	the	DET
easat-2753	254	12	best	good	ADJ
easat-2753	254	13	score	score	NOUN
easat-2753	254	14	.	.	PUNCT
easat-2753	255	1	3553	3553	NUM
easat-2753	255	2	edelweiss	edelweiss	PROPN
easat-2753	255	3	applied	apply	VERB
easat-2753	255	4	science	science	NOUN
easat-2753	255	5	and	and	CCONJ
easat-2753	255	6	technology	technology	NOUN
easat-2753	255	7	issn	issn	PROPN
easat-2753	255	8	:	:	PUNCT
easat-2753	255	9	2576	2576	NUM
easat-2753	255	10	-	-	SYM
easat-2753	255	11	8484	8484	NUM
easat-2753	255	12	vol	vol	NOUN
easat-2753	255	13	.	.	PROPN
easat-2753	255	14	8	8	NUM
easat-2753	255	15	,	,	PUNCT
easat-2753	255	16	no	no	INTJ
easat-2753	255	17	.	.	NOUN
easat-2753	256	1	6	6	NUM
easat-2753	256	2	:	:	SYM
easat-2753	256	3	3542	3542	NUM
easat-2753	256	4	-	-	SYM
easat-2753	256	5	3555	3555	NUM
easat-2753	256	6	,	,	PUNCT
easat-2753	256	7	2024	2024	NUM
easat-2753	256	8	doi	doi	NOUN
easat-2753	256	9	:	:	PUNCT
easat-2753	256	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	256	11	©	©	PROPN
easat-2753	256	12	2024	2024	NUM
easat-2753	256	13	by	by	ADP
easat-2753	256	14	the	the	DET
easat-2753	256	15	authors	author	NOUN
easat-2753	256	16	;	;	PUNCT
easat-2753	256	17	licensee	licensee	PROPN
easat-2753	256	18	learning	learn	VERB
easat-2753	256	19	gate	gate	NOUN
easat-2753	256	20	table	table	NOUN
easat-2753	256	21	9	9	NUM
easat-2753	256	22	.	.	PUNCT
easat-2753	257	1	optimal	optimal	ADJ
easat-2753	257	2	scores	score	NOUN
easat-2753	257	3	for	for	ADP
easat-2753	257	4	stability	stability	NOUN
easat-2753	257	5	validate	validate	VERB
easat-2753	257	6	measure	measure	NOUN
easat-2753	257	7	in	in	ADP
easat-2753	257	8	rafah	rafah	NOUN
easat-2753	257	9	.	.	PUNCT
easat-2753	258	1	validation	validation	NOUN
easat-2753	258	2	measures	measure	NOUN
easat-2753	258	3	score	score	NOUN
easat-2753	258	4	method	method	NOUN
easat-2753	258	5	clusters	cluster	NOUN
easat-2753	258	6	apn	apn	PROPN
easat-2753	258	7	0.09459459	0.09459459	NUM
easat-2753	258	8	hierarchical	hierarchical	ADJ
easat-2753	258	9	2	2	NUM
easat-2753	258	10	ad	ad	NOUN
easat-2753	258	11	1.62050621	1.62050621	NUM
easat-2753	258	12	hierarchical	hierarchical	ADJ
easat-2753	258	13	2	2	NUM
easat-2753	258	14	adm	adm	NOUN
easat-2753	258	15	0.46880538	0.46880538	NUM
easat-2753	258	16	hierarchical	hierarchical	ADJ
easat-2753	258	17	2	2	NUM
easat-2753	258	18	fom	fom	NOUN
easat-2753	258	19	0.76602998	0.76602998	NUM
easat-2753	258	20	hierarchical	hierarchical	ADJ
easat-2753	258	21	2	2	NUM
easat-2753	258	22	11	11	NUM
easat-2753	258	23	.	.	PUNCT
easat-2753	259	1	cluster	cluster	NOUN
easat-2753	259	2	validation	validation	NOUN
easat-2753	259	3	to	to	PART
easat-2753	259	4	validate	validate	VERB
easat-2753	259	5	the	the	DET
easat-2753	259	6	use	use	NOUN
easat-2753	259	7	of	of	ADP
easat-2753	259	8	cluster	cluster	NOUN
easat-2753	259	9	analysis	analysis	NOUN
easat-2753	259	10	,	,	PUNCT
easat-2753	259	11	the	the	DET
easat-2753	259	12	hypothesis	hypothesis	NOUN
easat-2753	259	13	of	of	ADP
easat-2753	259	14	elements	element	NOUN
easat-2753	259	15	or	or	CCONJ
easat-2753	259	16	groups	group	NOUN
easat-2753	259	17	in	in	ADP
easat-2753	259	18	the	the	DET
easat-2753	259	19	sample	sample	NOUN
easat-2753	259	20	from	from	ADP
easat-2753	259	21	which	which	PRON
easat-2753	259	22	the	the	DET
easat-2753	259	23	sample	sample	NOUN
easat-2753	259	24	is	be	AUX
easat-2753	259	25	available	available	ADJ
easat-2753	259	26	should	should	AUX
easat-2753	259	27	be	be	AUX
easat-2753	259	28	tested	test	VERB
easat-2753	259	29	.	.	PUNCT
easat-2753	260	1	for	for	ADP
easat-2753	260	2	example	example	NOUN
easat-2753	260	3	,	,	PUNCT
easat-2753	260	4	the	the	DET
easat-2753	260	5	hypothesis	hypothesis	NOUN
easat-2753	260	6	could	could	AUX
easat-2753	260	7	be	be	AUX
easat-2753	260	8	representation	representation	NOUN
easat-2753	260	9	of	of	ADP
easat-2753	260	10	the	the	DET
easat-2753	260	11	population	population	NOUN
easat-2753	260	12	of	of	ADP
easat-2753	260	13	a	a	DET
easat-2753	260	14	single	single	ADJ
easat-2753	260	15	distribution	distribution	NOUN
easat-2753	260	16	such	such	ADJ
easat-2753	260	17	as	as	ADP
easat-2753	260	18	multivariate	multivariate	NOUN
easat-2753	260	19	distribution	distribution	NOUN
easat-2753	260	20	,	,	PUNCT
easat-2753	260	21	or	or	CCONJ
easat-2753	260	22	the	the	DET
easat-2753	260	23	observations	observation	NOUN
easat-2753	260	24	originated	originate	VERB
easat-2753	260	25	from	from	ADP
easat-2753	260	26	a	a	DET
easat-2753	260	27	uniform	uniform	ADJ
easat-2753	260	28	distribution	distribution	NOUN
easat-2753	260	29	.	.	PUNCT
easat-2753	261	1	also	also	ADV
easat-2753	261	2	,	,	PUNCT
easat-2753	261	3	cross	cross	ADJ
easat-2753	261	4	-	-	ADJ
easat-2753	261	5	checking	checking	ADJ
easat-2753	261	6	policies	policy	NOUN
easat-2753	261	7	can	can	AUX
easat-2753	261	8	be	be	AUX
easat-2753	261	9	used	use	VERB
easat-2753	261	10	to	to	PART
easat-2753	261	11	validate	validate	VERB
easat-2753	261	12	or	or	CCONJ
easat-2753	261	13	aggregate	aggregate	VERB
easat-2753	261	14	the	the	DET
easat-2753	261	15	aggregation	aggregation	NOUN
easat-2753	261	16	results	result	NOUN
easat-2753	261	17	.	.	PUNCT
easat-2753	262	1	the	the	DET
easat-2753	262	2	data	datum	NOUN
easat-2753	262	3	is	be	AUX
easat-2753	262	4	randomly	randomly	ADV
easat-2753	262	5	divided	divide	VERB
easat-2753	262	6	into	into	ADP
easat-2753	262	7	two	two	NUM
easat-2753	262	8	sub	sub	NOUN
easat-2753	262	9	-	-	NOUN
easat-2753	262	10	groups	group	NOUN
easat-2753	262	11	.	.	PUNCT
easat-2753	263	1	to	to	PART
easat-2753	263	2	illustrate	illustrate	VERB
easat-2753	263	3	,	,	PUNCT
easat-2753	263	4	the	the	DET
easat-2753	263	5	block	block	NOUN
easat-2753	263	6	analysis	analysis	NOUN
easat-2753	263	7	of	of	ADP
easat-2753	263	8	a	a	PRON
easat-2753	263	9	and	and	CCONJ
easat-2753	263	10	b	b	NOUN
easat-2753	263	11	is	be	AUX
easat-2753	263	12	performed	perform	VERB
easat-2753	263	13	separately	separately	ADV
easat-2753	263	14	on	on	ADP
easat-2753	263	15	both	both	CCONJ
easat-2753	263	16	a	a	PRON
easat-2753	263	17	and	and	CCONJ
easat-2753	263	18	b.	b.	X
easat-2753	264	1	the	the	DET
easat-2753	264	2	results	result	NOUN
easat-2753	264	3	should	should	AUX
easat-2753	264	4	be	be	AUX
easat-2753	264	5	similar	similar	ADJ
easat-2753	264	6	if	if	SCONJ
easat-2753	264	7	the	the	DET
easat-2753	264	8	groups	group	NOUN
easat-2753	264	9	are	be	AUX
easat-2753	264	10	valid	valid	ADJ
easat-2753	264	11	.	.	PUNCT
easat-2753	265	1	according	accord	VERB
easat-2753	265	2	to	to	ADP
easat-2753	265	3	gordon	gordon	PROPN
easat-2753	265	4	(	(	PUNCT
easat-2753	265	5	1999	1999	NUM
easat-2753	265	6	)	)	PUNCT
easat-2753	265	7	and	and	CCONJ
easat-2753	265	8	milligan	milligan	PROPN
easat-2753	265	9	(	(	PUNCT
easat-2753	265	10	1996	1996	NUM
easat-2753	265	11	)	)	PUNCT
easat-2753	265	12	an	an	DET
easat-2753	265	13	alternative	alternative	ADJ
easat-2753	265	14	approach	approach	NOUN
easat-2753	265	15	for	for	ADP
easat-2753	265	16	cluster	cluster	NOUN
easat-2753	265	17	validating	validate	VERB
easat-2753	265	18	can	can	AUX
easat-2753	265	19	be	be	AUX
easat-2753	265	20	done	do	VERB
easat-2753	265	21	as	as	ADP
easat-2753	265	22	the	the	DET
easat-2753	265	23	following	following	NOUN
easat-2753	265	24	:	:	PUNCT
easat-2753	265	25	1	1	X
easat-2753	265	26	.	.	X
easat-2753	265	27	use	use	VERB
easat-2753	265	28	some	some	DET
easat-2753	265	29	clustering	clustering	ADJ
easat-2753	265	30	method	method	NOUN
easat-2753	265	31	to	to	PART
easat-2753	265	32	partition	partition	VERB
easat-2753	265	33	sub	sub	ADJ
easat-2753	265	34	-	-	ADJ
easat-2753	265	35	set	set	ADJ
easat-2753	265	36	of	of	ADP
easat-2753	265	37	“	"	PUNCT
easat-2753	265	38	a	a	PRON
easat-2753	265	39	”	"	PUNCT
easat-2753	265	40	into	into	ADP
easat-2753	265	41	“	"	PUNCT
easat-2753	265	42	g	g	NOUN
easat-2753	265	43	”	"	PUNCT
easat-2753	265	44	clusters	cluster	NOUN
easat-2753	265	45	.	.	PUNCT
easat-2753	266	1	2	2	X
easat-2753	266	2	.	.	X
easat-2753	266	3	partition	partition	NOUN
easat-2753	266	4	subset	subset	VERB
easat-2753	266	5	“	"	PUNCT
easat-2753	266	6	b	b	NOUN
easat-2753	266	7	”	"	PUNCT
easat-2753	266	8	into	into	ADP
easat-2753	266	9	“	"	PUNCT
easat-2753	266	10	g	g	NOUN
easat-2753	266	11	”	"	PUNCT
easat-2753	266	12	clusters	cluster	NOUN
easat-2753	266	13	in	in	ADP
easat-2753	266	14	two	two	NUM
easat-2753	266	15	ways	way	NOUN
easat-2753	266	16	:	:	PUNCT
easat-2753	266	17	(	(	PUNCT
easat-2753	266	18	a	a	X
easat-2753	266	19	)	)	PUNCT
easat-2753	266	20	assign	assign	VERB
easat-2753	266	21	each	each	DET
easat-2753	266	22	item	item	NOUN
easat-2753	266	23	in	in	ADP
easat-2753	266	24	“	"	PUNCT
easat-2753	266	25	b	b	NOUN
easat-2753	266	26	”	"	PUNCT
easat-2753	266	27	into	into	ADP
easat-2753	266	28	the	the	DET
easat-2753	266	29	cluster	cluster	NOUN
easat-2753	266	30	in	in	ADP
easat-2753	266	31	“	"	PUNCT
easat-2753	266	32	a	a	PRON
easat-2753	266	33	”	"	PUNCT
easat-2753	266	34	,	,	PUNCT
easat-2753	266	35	which	which	PRON
easat-2753	266	36	is	be	AUX
easat-2753	266	37	closest	close	ADJ
easat-2753	266	38	to	to	ADP
easat-2753	266	39	it	it	PRON
easat-2753	266	40	using	use	VERB
easat-2753	266	41	,	,	PUNCT
easat-2753	266	42	for	for	ADP
easat-2753	266	43	example	example	NOUN
easat-2753	266	44	,	,	PUNCT
easat-2753	266	45	the	the	DET
easat-2753	266	46	distance	distance	NOUN
easat-2753	266	47	to	to	ADP
easat-2753	266	48	cluster	cluster	NOUN
easat-2753	266	49	centroids	centroid	NOUN
easat-2753	266	50	.	.	PUNCT
easat-2753	267	1	(	(	PUNCT
easat-2753	267	2	b	b	X
easat-2753	267	3	)	)	PUNCT
easat-2753	267	4	use	use	VERB
easat-2753	267	5	the	the	DET
easat-2753	267	6	same	same	ADJ
easat-2753	267	7	clustering	clustering	NOUN
easat-2753	267	8	method	method	NOUN
easat-2753	267	9	on	on	ADP
easat-2753	267	10	“	"	PUNCT
easat-2753	267	11	b	b	NOUN
easat-2753	267	12	”	"	PUNCT
easat-2753	267	13	that	that	PRON
easat-2753	267	14	was	be	AUX
easat-2753	267	15	used	use	VERB
easat-2753	267	16	on	on	ADP
easat-2753	267	17	“	"	PUNCT
easat-2753	267	18	a	a	PRON
easat-2753	267	19	.	.	PUNCT
easat-2753	267	20	”	"	PUNCT
easat-2753	268	1	3	3	X
easat-2753	268	2	.	.	X
easat-2753	268	3	compare	compare	VERB
easat-2753	268	4	the	the	DET
easat-2753	268	5	results	result	NOUN
easat-2753	268	6	of	of	ADP
easat-2753	268	7	(	(	PUNCT
easat-2753	268	8	a	a	NOUN
easat-2753	268	9	)	)	PUNCT
easat-2753	268	10	and	and	CCONJ
easat-2753	268	11	(	(	PUNCT
easat-2753	268	12	b	b	NOUN
easat-2753	268	13	)	)	PUNCT
easat-2753	268	14	in	in	ADP
easat-2753	268	15	step	step	NOUN
easat-2753	268	16	2	2	NUM
easat-2753	268	17	.	.	PUNCT
easat-2753	269	1	many	many	ADJ
easat-2753	269	2	different	different	ADJ
easat-2753	269	3	cluster	cluster	NOUN
easat-2753	269	4	validity	validity	NOUN
easat-2753	269	5	methods	method	NOUN
easat-2753	269	6	have	have	AUX
easat-2753	269	7	been	be	AUX
easat-2753	269	8	proposed	propose	VERB
easat-2753	269	9	without	without	ADP
easat-2753	269	10	any	any	DET
easat-2753	269	11	a	a	DET
easat-2753	269	12	priori	priori	ADJ
easat-2753	269	13	class	class	NOUN
easat-2753	269	14	information	information	NOUN
easat-2753	269	15	.	.	PUNCT
easat-2753	270	1	according	accord	VERB
easat-2753	270	2	to	to	ADP
easat-2753	270	3	(	(	PUNCT
easat-2753	270	4	chow	chow	PROPN
easat-2753	270	5	et	et	PROPN
easat-2753	270	6	al	al	PROPN
easat-2753	270	7	.	.	PROPN
easat-2753	270	8	,	,	PUNCT
easat-2753	270	9	2002	2002	NUM
easat-2753	270	10	)	)	PUNCT
easat-2753	270	11	and	and	CCONJ
easat-2753	270	12	(	(	PUNCT
easat-2753	270	13	chow	chow	X
easat-2753	270	14	et	et	PROPN
easat-2753	270	15	al	al	PROPN
easat-2753	270	16	,	,	PUNCT
easat-2753	270	17	.	.	PUNCT
easat-2753	270	18	2004	2004	NUM
easat-2753	270	19	)	)	PUNCT
easat-2753	271	1	the	the	DET
easat-2753	271	2	clustering	cluster	VERB
easat-2753	271	3	validation	validation	NOUN
easat-2753	271	4	is	be	AUX
easat-2753	271	5	a	a	DET
easat-2753	271	6	technique	technique	NOUN
easat-2753	271	7	to	to	PART
easat-2753	271	8	find	find	VERB
easat-2753	271	9	a	a	DET
easat-2753	271	10	set	set	NOUN
easat-2753	271	11	of	of	ADP
easat-2753	271	12	clusters	cluster	NOUN
easat-2753	271	13	that	that	PRON
easat-2753	271	14	best	well	ADV
easat-2753	271	15	fits	fit	VERB
easat-2753	271	16	natural	natural	ADJ
easat-2753	271	17	partitions	partition	NOUN
easat-2753	271	18	(	(	PUNCT
easat-2753	271	19	number	number	NOUN
easat-2753	271	20	of	of	ADP
easat-2753	271	21	clusters	cluster	NOUN
easat-2753	271	22	)	)	PUNCT
easat-2753	271	23	without	without	ADP
easat-2753	271	24	any	any	DET
easat-2753	271	25	class	class	NOUN
easat-2753	271	26	information	information	NOUN
easat-2753	271	27	.	.	PUNCT
easat-2753	272	1	furthermore	furthermore	ADV
easat-2753	272	2	,	,	PUNCT
easat-2753	272	3	the	the	DET
easat-2753	272	4	analysis	analysis	NOUN
easat-2753	272	5	techniques	technique	NOUN
easat-2753	272	6	of	of	ADP
easat-2753	272	7	cluster	cluster	NOUN
easat-2753	272	8	can	can	AUX
easat-2753	272	9	be	be	AUX
easat-2753	272	10	based	base	VERB
easat-2753	272	11	on	on	ADP
easat-2753	272	12	external	external	ADJ
easat-2753	272	13	validation	validation	NOUN
easat-2753	272	14	based	base	VERB
easat-2753	272	15	on	on	ADP
easat-2753	272	16	prior	prior	ADJ
easat-2753	272	17	knowledge	knowledge	NOUN
easat-2753	272	18	about	about	ADP
easat-2753	272	19	data	datum	NOUN
easat-2753	272	20	follows	follow	VERB
easat-2753	272	21	,	,	PUNCT
easat-2753	272	22	and	and	CCONJ
easat-2753	272	23	internal	internal	ADJ
easat-2753	272	24	validation	validation	NOUN
easat-2753	272	25	based	base	VERB
easat-2753	272	26	on	on	ADP
easat-2753	272	27	the	the	DET
easat-2753	272	28	information	information	NOUN
easat-2753	272	29	secured	secure	VERB
easat-2753	272	30	inside	inside	ADV
easat-2753	272	31	in	in	ADP
easat-2753	272	32	the	the	DET
easat-2753	272	33	data	datum	NOUN
easat-2753	272	34	alone	alone	ADV
easat-2753	272	35	.	.	PUNCT
easat-2753	273	1	halkidi	halkidi	PROPN
easat-2753	273	2	et	et	PROPN
easat-2753	273	3	al	al	PROPN
easat-2753	273	4	.	.	PROPN
easat-2753	274	1	(	(	PUNCT
easat-2753	274	2	2001	2001	NUM
easat-2753	274	3	)	)	PUNCT
easat-2753	274	4	.	.	PUNCT
easat-2753	275	1	if	if	SCONJ
easat-2753	275	2	these	these	DET
easat-2753	275	3	two	two	NUM
easat-2753	275	4	types	type	NOUN
easat-2753	275	5	of	of	ADP
easat-2753	275	6	validation	validation	NOUN
easat-2753	275	7	’s	’	VERB
easat-2753	275	8	are	be	AUX
easat-2753	275	9	blocked	block	VERB
easat-2753	275	10	to	to	PART
easat-2753	275	11	determine	determine	VERB
easat-2753	275	12	the	the	DET
easat-2753	275	13	appropriate	appropriate	ADJ
easat-2753	275	14	number	number	NOUN
easat-2753	275	15	of	of	ADP
easat-2753	275	16	groups	group	NOUN
easat-2753	275	17	from	from	ADP
easat-2753	275	18	a	a	DET
easat-2753	275	19	data	data	NOUN
easat-2753	275	20	set	set	VERB
easat-2753	275	21	,	,	PUNCT
easat-2753	275	22	the	the	DET
easat-2753	275	23	consideration	consideration	NOUN
easat-2753	275	24	will	will	AUX
easat-2753	275	25	follow	follow	VERB
easat-2753	275	26	certain	certain	ADJ
easat-2753	275	27	options	option	NOUN
easat-2753	275	28	.	.	PUNCT
easat-2753	276	1	one	one	NUM
easat-2753	276	2	option	option	NOUN
easat-2753	276	3	is	be	AUX
easat-2753	276	4	to	to	PART
easat-2753	276	5	use	use	VERB
easat-2753	276	6	external	external	ADJ
easat-2753	276	7	validation	validation	NOUN
easat-2753	276	8	indexes	index	NOUN
easat-2753	276	9	that	that	PRON
easat-2753	276	10	require	require	VERB
easat-2753	276	11	prior	prior	ADJ
easat-2753	276	12	knowledge	knowledge	NOUN
easat-2753	276	13	about	about	ADP
easat-2753	276	14	the	the	DET
easat-2753	276	15	data	datum	NOUN
easat-2753	276	16	used	use	VERB
easat-2753	276	17	,	,	PUNCT
easat-2753	276	18	but	but	CCONJ
easat-2753	276	19	it	it	PRON
easat-2753	276	20	is	be	AUX
easat-2753	276	21	difficult	difficult	ADJ
easat-2753	276	22	to	to	PART
easat-2753	276	23	determine	determine	VERB
easat-2753	276	24	whether	whether	SCONJ
easat-2753	276	25	they	they	PRON
easat-2753	276	26	can	can	AUX
easat-2753	276	27	be	be	AUX
easat-2753	276	28	used	use	VERB
easat-2753	276	29	in	in	ADP
easat-2753	276	30	data	datum	NOUN
easat-2753	276	31	that	that	PRON
easat-2753	276	32	has	have	VERB
easat-2753	276	33	real	real	ADJ
easat-2753	276	34	problems	problem	NOUN
easat-2753	276	35	.	.	PUNCT
easat-2753	277	1	another	another	DET
easat-2753	277	2	option	option	NOUN
easat-2753	277	3	is	be	AUX
easat-2753	277	4	to	to	PART
easat-2753	277	5	use	use	VERB
easat-2753	277	6	internal	internal	ADJ
easat-2753	277	7	validity	validity	NOUN
easat-2753	277	8	indexes	index	NOUN
easat-2753	277	9	that	that	PRON
easat-2753	277	10	do	do	AUX
easat-2753	277	11	not	not	PART
easat-2753	277	12	require	require	VERB
easat-2753	277	13	advance	advance	ADJ
easat-2753	277	14	information	information	NOUN
easat-2753	277	15	from	from	ADP
easat-2753	277	16	the	the	DET
easat-2753	277	17	dataset	dataset	NOUN
easat-2753	277	18	.	.	PUNCT
easat-2753	278	1	here	here	ADV
easat-2753	278	2	we	we	PRON
easat-2753	278	3	used	use	VERB
easat-2753	278	4	the	the	DET
easat-2753	278	5	internal	internal	ADJ
easat-2753	278	6	validation	validation	NOUN
easat-2753	278	7	measures	measure	NOUN
easat-2753	278	8	are	be	AUX
easat-2753	278	9	the	the	DET
easat-2753	278	10	connectivity	connectivity	NOUN
easat-2753	278	11	,	,	PUNCT
easat-2753	278	12	silhouette	silhouette	NOUN
easat-2753	278	13	width	width	NOUN
easat-2753	278	14	,	,	PUNCT
easat-2753	278	15	and	and	CCONJ
easat-2753	278	16	dunn	dunn	PROPN
easat-2753	278	17	index	index	PROPN
easat-2753	278	18	.	.	PUNCT
easat-2753	279	1	the	the	DET
easat-2753	279	2	neighborhood	neighborhood	NOUN
easat-2753	279	3	size	size	NOUN
easat-2753	279	4	for	for	ADP
easat-2753	279	5	the	the	DET
easat-2753	279	6	connectivity	connectivity	NOUN
easat-2753	279	7	is	be	AUX
easat-2753	279	8	set	set	VERB
easat-2753	279	9	to	to	ADP
easat-2753	279	10	10	10	NUM
easat-2753	279	11	by	by	ADP
easat-2753	279	12	default	default	NOUN
easat-2753	279	13	.	.	PUNCT
easat-2753	280	1	results	result	NOUN
easat-2753	280	2	are	be	AUX
easat-2753	280	3	summarized	summarize	VERB
easat-2753	280	4	in	in	ADP
easat-2753	280	5	table	table	NOUN
easat-2753	280	6	10	10	NUM
easat-2753	280	7	and	and	CCONJ
easat-2753	280	8	table	table	NOUN
easat-2753	280	9	11	11	NUM
easat-2753	280	10	.	.	PUNCT
easat-2753	281	1	table	table	NOUN
easat-2753	281	2	10	10	NUM
easat-2753	281	3	.	.	PUNCT
easat-2753	282	1	compare	compare	VERB
easat-2753	282	2	between	between	ADP
easat-2753	282	3	internal	internal	ADJ
easat-2753	282	4	validation	validation	NOUN
easat-2753	282	5	measures	measure	NOUN
easat-2753	282	6	in	in	ADP
easat-2753	282	7	rafah	rafah	NOUN
easat-2753	282	8	(	(	PUNCT
easat-2753	282	9	2020	2020	NUM
easat-2753	282	10	)	)	PUNCT
easat-2753	282	11	.	.	PUNCT
easat-2753	283	1	clustering	cluster	VERB
easat-2753	283	2	method	method	NOUN
easat-2753	283	3	validation	validation	NOUN
easat-2753	283	4	measures	measure	NOUN
easat-2753	283	5	(	(	PUNCT
easat-2753	283	6	score	score	NOUN
easat-2753	283	7	)	)	PUNCT
easat-2753	283	8	number	number	NOUN
easat-2753	283	9	of	of	ADP
easat-2753	283	10	clusters=2	clusters=2	PROPN
easat-2753	283	11	(	(	PUNCT
easat-2753	283	12	score	score	NOUN
easat-2753	283	13	)	)	PUNCT
easat-2753	283	14	number	number	NOUN
easat-2753	283	15	of	of	ADP
easat-2753	283	16	clusters=3	clusters=3	PROPN
easat-2753	283	17	(	(	PUNCT
easat-2753	283	18	score	score	NOUN
easat-2753	283	19	)	)	PUNCT
easat-2753	283	20	number	number	NOUN
easat-2753	283	21	of	of	ADP
easat-2753	283	22	clusters=4	clusters=4	PROPN
easat-2753	283	23	hierarchical	hierarchical	ADJ
easat-2753	283	24	connectivity	connectivity	NOUN
easat-2753	283	25	4.0353	4.0353	NUM
easat-2753	283	26	10.1048	10.1048	NUM
easat-2753	283	27	12.7516	12.7516	NUM
easat-2753	283	28	dunn	dunn	PROPN
easat-2753	283	29	0.2953	0.2953	NUM
easat-2753	283	30	0.2414	0.2414	NUM
easat-2753	283	31	0.2414	0.2414	NUM
easat-2753	283	32	silhouette	silhouette	NOUN
easat-2753	283	33	0.5023	0.5023	NUM
easat-2753	283	34	0.5813	0.5813	NUM
easat-2753	283	35	0.5481	0.5481	NUM
easat-2753	283	36	k	k	X
easat-2753	283	37	-	-	PUNCT
easat-2753	283	38	means	mean	VERB
easat-2753	283	39	connectivity	connectivity	NOUN
easat-2753	283	40	4.0353	4.0353	NUM
easat-2753	283	41	8.9873	8.9873	NUM
easat-2753	283	42	11.6341	11.6341	NUM
easat-2753	283	43	dunn	dunn	PROPN
easat-2753	283	44	0.2953	0.2953	NUM
easat-2753	283	45	0.2593	0.2593	NUM
easat-2753	283	46	0.3641	0.3641	NUM
easat-2753	283	47	silhouette	silhouette	NOUN
easat-2753	283	48	0.5023	0.5023	NUM
easat-2753	283	49	0.5934	0.5934	NUM
easat-2753	283	50	0.5584	0.5584	NUM
easat-2753	283	51	3554	3554	NUM
easat-2753	283	52	edelweiss	edelweiss	PROPN
easat-2753	283	53	applied	apply	VERB
easat-2753	283	54	science	science	NOUN
easat-2753	283	55	and	and	CCONJ
easat-2753	283	56	technology	technology	NOUN
easat-2753	283	57	issn	issn	PROPN
easat-2753	283	58	:	:	PUNCT
easat-2753	283	59	2576	2576	NUM
easat-2753	283	60	-	-	SYM
easat-2753	283	61	8484	8484	NUM
easat-2753	283	62	vol	vol	NOUN
easat-2753	283	63	.	.	PROPN
easat-2753	283	64	8	8	NUM
easat-2753	283	65	,	,	PUNCT
easat-2753	283	66	no	no	INTJ
easat-2753	283	67	.	.	NOUN
easat-2753	284	1	6	6	NUM
easat-2753	284	2	:	:	SYM
easat-2753	284	3	3542	3542	NUM
easat-2753	284	4	-	-	SYM
easat-2753	284	5	3555	3555	NUM
easat-2753	284	6	,	,	PUNCT
easat-2753	284	7	2024	2024	NUM
easat-2753	284	8	doi	doi	NOUN
easat-2753	284	9	:	:	PUNCT
easat-2753	284	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	284	11	©	©	PROPN
easat-2753	284	12	2024	2024	NUM
easat-2753	284	13	by	by	ADP
easat-2753	284	14	the	the	DET
easat-2753	284	15	authors	author	NOUN
easat-2753	284	16	;	;	PUNCT
easat-2753	284	17	licensee	licensee	PROPN
easat-2753	284	18	learning	learn	VERB
easat-2753	284	19	gate	gate	NOUN
easat-2753	284	20	table	table	NOUN
easat-2753	284	21	11	11	NUM
easat-2753	284	22	.	.	PUNCT
easat-2753	285	1	optimal	optimal	ADJ
easat-2753	285	2	scores	score	NOUN
easat-2753	285	3	for	for	ADP
easat-2753	285	4	internal	internal	ADJ
easat-2753	285	5	validation	validation	NOUN
easat-2753	285	6	measures	measure	NOUN
easat-2753	285	7	in	in	ADP
easat-2753	285	8	rafah	rafah	NOUN
easat-2753	285	9	(	(	PUNCT
easat-2753	285	10	2020	2020	NUM
easat-2753	285	11	)	)	PUNCT
easat-2753	285	12	.	.	PUNCT
easat-2753	286	1	internal	internal	ADJ
easat-2753	286	2	validation	validation	NOUN
easat-2753	286	3	score	score	NOUN
easat-2753	286	4	method	method	NOUN
easat-2753	286	5	clusters	cluster	NOUN
easat-2753	286	6	connectivity	connectivity	NOUN
easat-2753	286	7	4.0353	4.0353	NUM
easat-2753	286	8	hierarchical	hierarchical	ADJ
easat-2753	286	9	2	2	NUM
easat-2753	286	10	dunn	dunn	PROPN
easat-2753	286	11	0.2953	0.2953	NUM
easat-2753	286	12	hierarchical	hierarchical	ADJ
easat-2753	286	13	2	2	NUM
easat-2753	286	14	silhouette	silhouette	NOUN
easat-2753	286	15	0.5023	0.5023	NUM
easat-2753	286	16	hierarchical	hierarchical	ADJ
easat-2753	286	17	2	2	NUM
easat-2753	286	18	concludes	conclude	VERB
easat-2753	286	19	that	that	SCONJ
easat-2753	286	20	hierarchical	hierarchical	ADJ
easat-2753	286	21	clustering	clustering	NOUN
easat-2753	286	22	with	with	ADP
easat-2753	286	23	two	two	NUM
easat-2753	286	24	clusters	cluster	NOUN
easat-2753	286	25	performs	perform	VERB
easat-2753	286	26	the	the	DET
easat-2753	286	27	best	good	ADJ
easat-2753	286	28	in	in	ADP
easat-2753	286	29	(	(	PUNCT
easat-2753	286	30	connective	connective	ADJ
easat-2753	286	31	,	,	PUNCT
easat-2753	286	32	dunn	dunn	PROPN
easat-2753	286	33	,	,	PUNCT
easat-2753	286	34	silhouette	silhouette	NOUN
easat-2753	286	35	)	)	PUNCT
easat-2753	286	36	recall	recall	VERB
easat-2753	286	37	that	that	SCONJ
easat-2753	286	38	the	the	DET
easat-2753	286	39	connectivity	connectivity	NOUN
easat-2753	286	40	should	should	AUX
easat-2753	286	41	be	be	AUX
easat-2753	286	42	minimized	minimize	VERB
easat-2753	286	43	,	,	PUNCT
easat-2753	286	44	while	while	SCONJ
easat-2753	286	45	both	both	CCONJ
easat-2753	286	46	the	the	DET
easat-2753	286	47	dunn	dunn	PROPN
easat-2753	286	48	index	index	NOUN
easat-2753	286	49	and	and	CCONJ
easat-2753	286	50	the	the	DET
easat-2753	286	51	silhouette	silhouette	NOUN
easat-2753	286	52	width	width	NOUN
easat-2753	286	53	should	should	AUX
easat-2753	286	54	be	be	AUX
easat-2753	286	55	maximized	maximize	VERB
easat-2753	286	56	.	.	PUNCT
easat-2753	287	1	thus	thus	ADV
easat-2753	287	2	,	,	PUNCT
easat-2753	287	3	it	it	PRON
easat-2753	287	4	appears	appear	VERB
easat-2753	287	5	that	that	SCONJ
easat-2753	287	6	hierarchical	hierarchical	ADJ
easat-2753	287	7	clustering	clustering	NOUN
easat-2753	287	8	outperforms	outperform	NOUN
easat-2753	287	9	the	the	DET
easat-2753	287	10	other	other	ADJ
easat-2753	287	11	clustering	clustering	ADJ
easat-2753	287	12	algorithms	algorithm	NOUN
easat-2753	287	13	under	under	ADP
easat-2753	287	14	each	each	DET
easat-2753	287	15	validation	validation	NOUN
easat-2753	287	16	measure	measure	NOUN
easat-2753	287	17	.	.	PUNCT
easat-2753	288	1	12	12	NUM
easat-2753	288	2	.	.	PUNCT
easat-2753	289	1	conclusions	conclusion	NOUN
easat-2753	289	2	water	water	PROPN
easat-2753	289	3	wells	wells	PROPN
easat-2753	289	4	data	data	PROPN
easat-2753	289	5	in	in	ADP
easat-2753	289	6	rafah	rafah	NOUN
easat-2753	289	7	(	(	PUNCT
easat-2753	289	8	2020	2020	NUM
easat-2753	289	9	)	)	PUNCT
easat-2753	289	10	are	be	AUX
easat-2753	289	11	normally	normally	ADV
easat-2753	289	12	distributed	distribute	VERB
easat-2753	289	13	due	due	ADP
easat-2753	289	14	to	to	ADP
easat-2753	289	15	kolmogorov	kolmogorov	ADJ
easat-2753	289	16	-	-	PUNCT
easat-2753	289	17	smirnov	smirnov	ADJ
easat-2753	289	18	test	test	NOUN
easat-2753	289	19	.	.	PUNCT
easat-2753	290	1	consequently	consequently	ADV
easat-2753	290	2	,	,	PUNCT
easat-2753	290	3	using	use	VERB
easat-2753	290	4	t	t	NOUN
easat-2753	290	5	test	test	NOUN
easat-2753	290	6	in	in	ADP
easat-2753	290	7	independent	independent	ADJ
easat-2753	290	8	.	.	PUNCT
easat-2753	291	1	hierarchical	hierarchical	ADJ
easat-2753	291	2	clustering	clustering	ADJ
easat-2753	291	3	analysis	analysis	NOUN
easat-2753	291	4	involves	involve	VERB
easat-2753	291	5	computing	compute	VERB
easat-2753	291	6	the	the	DET
easat-2753	291	7	correlation	correlation	NOUN
easat-2753	291	8	between	between	ADP
easat-2753	291	9	the	the	DET
easat-2753	291	10	cophenetic	cophenetic	ADJ
easat-2753	291	11	distance	distance	NOUN
easat-2753	291	12	and	and	CCONJ
easat-2753	291	13	the	the	DET
easat-2753	291	14	original	original	ADJ
easat-2753	291	15	distance	distance	NOUN
easat-2753	291	16	data	datum	NOUN
easat-2753	291	17	to	to	PART
easat-2753	291	18	validate	validate	VERB
easat-2753	291	19	the	the	DET
easat-2753	291	20	clustering	clustering	ADJ
easat-2753	291	21	solution	solution	NOUN
easat-2753	291	22	.	.	PUNCT
easat-2753	292	1	a	a	DET
easat-2753	292	2	strong	strong	ADJ
easat-2753	292	3	correlation	correlation	NOUN
easat-2753	292	4	indicates	indicate	VERB
easat-2753	292	5	that	that	SCONJ
easat-2753	292	6	the	the	DET
easat-2753	292	7	cluster	cluster	NOUN
easat-2753	292	8	tree	tree	NOUN
easat-2753	292	9	accurately	accurately	ADV
easat-2753	292	10	reflects	reflect	VERB
easat-2753	292	11	the	the	DET
easat-2753	292	12	data	datum	NOUN
easat-2753	292	13	,	,	PUNCT
easat-2753	292	14	with	with	ADP
easat-2753	292	15	values	value	NOUN
easat-2753	292	16	above	above	ADP
easat-2753	292	17	0.75	0.75	NUM
easat-2753	292	18	considered	consider	VERB
easat-2753	292	19	satisfactory	satisfactory	ADJ
easat-2753	292	20	.	.	PUNCT
easat-2753	293	1	optimal	optimal	ADJ
easat-2753	293	2	scores	score	NOUN
easat-2753	293	3	of	of	ADP
easat-2753	293	4	agglomerative	agglomerative	ADJ
easat-2753	293	5	hierarchical	hierarchical	ADJ
easat-2753	293	6	clustering	clustering	NOUN
easat-2753	293	7	(	(	PUNCT
easat-2753	293	8	ahc	ahc	NOUN
easat-2753	293	9	)	)	PUNCT
easat-2753	293	10	and	and	CCONJ
easat-2753	293	11	cophenetic	cophenetic	ADJ
easat-2753	293	12	of	of	ADP
easat-2753	293	13	clusters	cluster	NOUN
easat-2753	293	14	reveal	reveal	VERB
easat-2753	293	15	that	that	SCONJ
easat-2753	293	16	the	the	DET
easat-2753	293	17	best	good	ADJ
easat-2753	293	18	method	method	NOUN
easat-2753	293	19	was	be	AUX
easat-2753	293	20	cophenetic	cophenetic	ADJ
easat-2753	293	21	which	which	PRON
easat-2753	293	22	is	be	AUX
easat-2753	293	23	almost	almost	ADV
easat-2753	293	24	equal	equal	ADJ
easat-2753	293	25	to	to	PART
easat-2753	293	26	agglomerative	agglomerative	ADJ
easat-2753	293	27	clustering	clustering	NOUN
easat-2753	293	28	(	(	PUNCT
easat-2753	293	29	ac	ac	PROPN
easat-2753	293	30	)	)	PUNCT
easat-2753	293	31	with	with	ADP
easat-2753	293	32	a	a	DET
easat-2753	293	33	high	high	ADJ
easat-2753	293	34	score	score	NOUN
easat-2753	293	35	around	around	ADP
easat-2753	293	36	0.94	0.94	NUM
easat-2753	293	37	.	.	PUNCT
easat-2753	294	1	by	by	ADP
easat-2753	294	2	using	use	VERB
easat-2753	294	3	(	(	PUNCT
easat-2753	294	4	ahc	ahc	NOUN
easat-2753	294	5	)	)	PUNCT
easat-2753	294	6	to	to	PART
easat-2753	294	7	find	find	VERB
easat-2753	294	8	the	the	DET
easat-2753	294	9	k	k	NOUN
easat-2753	294	10	-	-	NOUN
easat-2753	294	11	cluster	cluster	NOUN
easat-2753	294	12	applying	apply	VERB
easat-2753	294	13	"	"	PUNCT
easat-2753	294	14	average	average	ADJ
easat-2753	294	15	"	"	PUNCT
easat-2753	294	16	method	method	NOUN
easat-2753	294	17	on	on	ADP
easat-2753	294	18	groundwater	groundwater	NOUN
easat-2753	294	19	wells	well	NOUN
easat-2753	294	20	in	in	ADP
easat-2753	294	21	rafah	rafah	NOUN
easat-2753	294	22	for	for	ADP
easat-2753	294	23	2020	2020	NUM
easat-2753	294	24	.	.	PUNCT
easat-2753	295	1	two	two	NUM
easat-2753	295	2	clusters	cluster	NOUN
easat-2753	295	3	arise	arise	VERB
easat-2753	295	4	with	with	ADP
easat-2753	295	5	28	28	NUM
easat-2753	295	6	wells	well	NOUN
easat-2753	295	7	in	in	ADP
easat-2753	295	8	one	one	NUM
easat-2753	295	9	cluster	cluster	NOUN
easat-2753	295	10	and	and	CCONJ
easat-2753	295	11	9	9	NUM
easat-2753	295	12	wells	well	NOUN
easat-2753	295	13	in	in	ADP
easat-2753	295	14	the	the	DET
easat-2753	295	15	other	other	ADJ
easat-2753	295	16	.	.	PUNCT
easat-2753	296	1	with	with	ADP
easat-2753	296	2	the	the	DET
easat-2753	296	3	same	same	ADJ
easat-2753	296	4	nitrate	nitrate	NOUN
easat-2753	296	5	,	,	PUNCT
easat-2753	296	6	tds	tds	ADJ
easat-2753	296	7	and	and	CCONJ
easat-2753	296	8	chloride	chloride	NOUN
easat-2753	296	9	guidelines	guideline	NOUN
easat-2753	296	10	.	.	PUNCT
easat-2753	297	1	all	all	DET
easat-2753	297	2	those	those	DET
easat-2753	297	3	guidelines	guideline	NOUN
easat-2753	297	4	are	be	AUX
easat-2753	297	5	not	not	PART
easat-2753	297	6	acceptable	acceptable	ADJ
easat-2753	297	7	levels	level	NOUN
easat-2753	297	8	for	for	ADP
easat-2753	297	9	human	human	ADJ
easat-2753	297	10	and	and	CCONJ
easat-2753	297	11	agricultural	agricultural	ADJ
easat-2753	297	12	use	use	NOUN
easat-2753	297	13	.	.	PUNCT
easat-2753	298	1	a	a	DET
easat-2753	298	2	test	test	NOUN
easat-2753	298	3	of	of	ADP
easat-2753	298	4	homogeneity	homogeneity	NOUN
easat-2753	298	5	between	between	ADP
easat-2753	298	6	the	the	DET
easat-2753	298	7	two	two	NUM
easat-2753	298	8	-	-	PUNCT
easat-2753	298	9	cluster	cluster	NOUN
easat-2753	298	10	group	group	NOUN
easat-2753	298	11	has	have	AUX
easat-2753	298	12	been	be	AUX
easat-2753	298	13	done	do	VERB
easat-2753	298	14	by	by	ADP
easat-2753	298	15	using	use	VERB
easat-2753	298	16	t	t	NOUN
easat-2753	298	17	-	-	PUNCT
easat-2753	298	18	test	test	NOUN
easat-2753	298	19	for	for	ADP
easat-2753	298	20	the	the	DET
easat-2753	298	21	three	three	NUM
easat-2753	298	22	chemical	chemical	NOUN
easat-2753	298	23	compounds	compound	NOUN
easat-2753	298	24	and	and	CCONJ
easat-2753	298	25	conclude	conclude	VERB
easat-2753	298	26	that	that	SCONJ
easat-2753	298	27	there	there	PRON
easat-2753	298	28	are	be	VERB
easat-2753	298	29	significant	significant	ADJ
easat-2753	298	30	differences	difference	NOUN
easat-2753	298	31	in	in	ADP
easat-2753	298	32	means	mean	NOUN
easat-2753	298	33	with	with	ADP
easat-2753	298	34	a	a	DET
easat-2753	298	35	significant	significant	ADJ
easat-2753	298	36	level	level	NOUN
easat-2753	298	37	less	less	ADJ
easat-2753	298	38	than	than	ADP
easat-2753	298	39	0.01	0.01	NUM
easat-2753	298	40	for	for	ADP
easat-2753	298	41	tds	tds	ADJ
easat-2753	298	42	and	and	CCONJ
easat-2753	298	43	for	for	ADP
easat-2753	298	44	chloride	chloride	NOUN
easat-2753	298	45	,	,	PUNCT
easat-2753	298	46	and	and	CCONJ
easat-2753	298	47	less	less	ADJ
easat-2753	298	48	than	than	ADP
easat-2753	298	49	0.05	0.05	NUM
easat-2753	298	50	for	for	ADP
easat-2753	298	51	nitrates	nitrate	NOUN
easat-2753	298	52	.	.	PUNCT
easat-2753	299	1	stability	stability	NOUN
easat-2753	299	2	validation	validation	NOUN
easat-2753	299	3	measures	measure	NOUN
easat-2753	299	4	conclude	conclude	VERB
easat-2753	299	5	that	that	SCONJ
easat-2753	299	6	for	for	ADP
easat-2753	299	7	the	the	DET
easat-2753	299	8	apn	apn	PROPN
easat-2753	299	9	and	and	CCONJ
easat-2753	299	10	adm	adm	PROPN
easat-2753	299	11	measures	measure	NOUN
easat-2753	299	12	,	,	PUNCT
easat-2753	299	13	hierarchical	hierarchical	ADJ
easat-2753	299	14	clustering	clustering	NOUN
easat-2753	299	15	with	with	ADP
easat-2753	299	16	two	two	NUM
easat-2753	299	17	clusters	cluster	NOUN
easat-2753	299	18	gives	give	VERB
easat-2753	299	19	the	the	DET
easat-2753	299	20	best	good	ADJ
easat-2753	299	21	score	score	NOUN
easat-2753	299	22	.	.	PUNCT
easat-2753	300	1	in	in	ADP
easat-2753	300	2	clusters	cluster	NOUN
easat-2753	300	3	validations	validation	NOUN
easat-2753	300	4	we	we	PRON
easat-2753	300	5	used	use	VERB
easat-2753	300	6	internal	internal	ADJ
easat-2753	300	7	validation	validation	NOUN
easat-2753	300	8	measures	measure	NOUN
easat-2753	300	9	,	,	PUNCT
easat-2753	300	10	which	which	PRON
easat-2753	300	11	are	be	AUX
easat-2753	300	12	connectivity	connectivity	NOUN
easat-2753	300	13	,	,	PUNCT
easat-2753	300	14	dunn	dunn	PROPN
easat-2753	300	15	index	index	PROPN
easat-2753	300	16	,	,	PUNCT
easat-2753	300	17	and	and	CCONJ
easat-2753	300	18	silhouette	silhouette	NOUN
easat-2753	300	19	width	width	NOUN
easat-2753	300	20	with	with	ADP
easat-2753	300	21	a	a	DET
easat-2753	300	22	neighborhood	neighborhood	NOUN
easat-2753	300	23	size	size	NOUN
easat-2753	300	24	for	for	ADP
easat-2753	300	25	the	the	DET
easat-2753	300	26	connectivity	connectivity	NOUN
easat-2753	300	27	set	set	VERB
easat-2753	300	28	to	to	ADP
easat-2753	300	29	10	10	NUM
easat-2753	300	30	and	and	CCONJ
easat-2753	300	31	found	find	VERB
easat-2753	300	32	that	that	SCONJ
easat-2753	300	33	hierarchical	hierarchical	ADJ
easat-2753	300	34	clustering	clustering	NOUN
easat-2753	300	35	with	with	ADP
easat-2753	300	36	two	two	NUM
easat-2753	300	37	clusters	cluster	NOUN
easat-2753	300	38	performs	perform	VERB
easat-2753	300	39	the	the	DET
easat-2753	300	40	best	good	ADJ
easat-2753	300	41	in	in	ADP
easat-2753	300	42	(	(	PUNCT
easat-2753	300	43	connective	connective	ADJ
easat-2753	300	44	,	,	PUNCT
easat-2753	300	45	dunn	dunn	PROPN
easat-2753	300	46	,	,	PUNCT
easat-2753	300	47	silhouette	silhouette	PROPN
easat-2753	300	48	)	)	PUNCT
easat-2753	300	49	.	.	PUNCT
easat-2753	301	1	acknowledgement	acknowledgement	NOUN
easat-2753	301	2	:	:	PUNCT
easat-2753	301	3	the	the	DET
easat-2753	301	4	authors	author	NOUN
easat-2753	301	5	extend	extend	VERB
easat-2753	301	6	their	their	PRON
easat-2753	301	7	appreciation	appreciation	NOUN
easat-2753	301	8	to	to	ADP
easat-2753	301	9	the	the	DET
easat-2753	301	10	arab	arab	PROPN
easat-2753	301	11	open	open	PROPN
easat-2753	301	12	university	university	PROPN
easat-2753	301	13	for	for	ADP
easat-2753	301	14	funding	fund	VERB
easat-2753	301	15	this	this	DET
easat-2753	301	16	work	work	NOUN
easat-2753	301	17	through	through	ADP
easat-2753	301	18	aou	aou	PROPN
easat-2753	301	19	research	research	PROPN
easat-2753	301	20	fund	fund	NOUN
easat-2753	301	21	no	no	INTJ
easat-2753	301	22	.	.	PUNCT
easat-2753	302	1	(	(	PUNCT
easat-2753	302	2	aourg-2023	aourg-2023	NOUN
easat-2753	302	3	-	-	PUNCT
easat-2753	302	4	016	016	NUM
easat-2753	302	5	)	)	PUNCT
easat-2753	302	6	.	.	PUNCT
easat-2753	303	1	copyright	copyright	NOUN
easat-2753	303	2	:	:	PUNCT
easat-2753	303	3	©	©	PROPN
easat-2753	303	4	2024	2024	NUM
easat-2753	303	5	by	by	ADP
easat-2753	303	6	the	the	DET
easat-2753	303	7	authors	author	NOUN
easat-2753	303	8	.	.	PUNCT
easat-2753	304	1	this	this	DET
easat-2753	304	2	article	article	NOUN
easat-2753	304	3	is	be	AUX
easat-2753	304	4	an	an	DET
easat-2753	304	5	open	open	ADJ
easat-2753	304	6	access	access	NOUN
easat-2753	304	7	article	article	NOUN
easat-2753	304	8	distributed	distribute	VERB
easat-2753	304	9	under	under	ADP
easat-2753	304	10	the	the	DET
easat-2753	304	11	terms	term	NOUN
easat-2753	304	12	and	and	CCONJ
easat-2753	304	13	conditions	condition	NOUN
easat-2753	304	14	of	of	ADP
easat-2753	304	15	the	the	DET
easat-2753	304	16	creative	creative	ADJ
easat-2753	304	17	commons	common	NOUN
easat-2753	304	18	attribution	attribution	NOUN
easat-2753	304	19	(	(	PUNCT
easat-2753	304	20	cc	cc	NOUN
easat-2753	304	21	by	by	ADP
easat-2753	304	22	)	)	PUNCT
easat-2753	304	23	license	license	NOUN
easat-2753	304	24	(	(	PUNCT
easat-2753	304	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-2753	304	26	)	)	PUNCT
easat-2753	304	27	.	.	PUNCT
easat-2753	305	1	references	reference	NOUN
easat-2753	305	2	[	[	X
easat-2753	305	3	1	1	X
easat-2753	305	4	]	]	X
easat-2753	305	5	brock	brock	PROPN
easat-2753	305	6	g.	g.	PROPN
easat-2753	305	7	,	,	PUNCT
easat-2753	305	8	pihur	pihur	VERB
easat-2753	305	9	v.	v.	ADV
easat-2753	305	10	,	,	PUNCT
easat-2753	305	11	and	and	CCONJ
easat-2753	305	12	datta	datta	PROPN
easat-2753	305	13	s.	s.	PROPN
easat-2753	305	14	(	(	PUNCT
easat-2753	305	15	2008	2008	NUM
easat-2753	305	16	):	):	PUNCT
easat-2753	305	17	clvalid	clvalid	NOUN
easat-2753	305	18	:	:	PUNCT
easat-2753	305	19	an	an	DET
easat-2753	305	20	r	r	NOUN
easat-2753	305	21	package	package	NOUN
easat-2753	305	22	for	for	ADP
easat-2753	305	23	cluster	cluster	NOUN
easat-2753	305	24	validation	validation	NOUN
easat-2753	305	25	,	,	PUNCT
easat-2753	305	26	journal	journal	NOUN
easat-2753	305	27	of	of	ADP
easat-2753	305	28	statistical	statistical	ADJ
easat-2753	305	29	software,25,4	software,25,4	NOUN
easat-2753	305	30	.	.	PUNCT
easat-2753	306	1	[	[	X
easat-2753	306	2	2	2	NUM
easat-2753	306	3	]	]	X
easat-2753	306	4	chou	chou	NOUN
easat-2753	306	5	,	,	PUNCT
easat-2753	306	6	c.h	c.h	PROPN
easat-2753	306	7	,	,	PUNCT
easat-2753	306	8	su	su	PROPN
easat-2753	306	9	m.c	m.c	PROPN
easat-2753	306	10	and	and	CCONJ
easat-2753	306	11	lai	lai	PROPN
easat-2753	306	12	,	,	PUNCT
easat-2753	306	13	e.	e.	PROPN
easat-2753	306	14	(	(	PUNCT
easat-2753	306	15	2002	2002	NUM
easat-2753	306	16	):	):	PUNCT
easat-2753	306	17	symmetry	symmetry	NOUN
easat-2753	306	18	as	as	ADP
easat-2753	306	19	a	a	DET
easat-2753	306	20	new	new	ADJ
easat-2753	306	21	measure	measure	NOUN
easat-2753	306	22	for	for	ADP
easat-2753	306	23	cluster	cluster	NOUN
easat-2753	306	24	validity	validity	NOUN
easat-2753	306	25	.	.	PUNCT
easat-2753	307	1	2	2	NUM
easat-2753	307	2	th	th	X
easat-2753	307	3	.	.	PUNCT
easat-2753	307	4	wseas	wseas	PROPN
easat-2753	307	5	int.conf	int.conf	NUM
easat-2753	307	6	.	.	PUNCT
easat-2753	308	1	scientific	scientific	ADJ
easat-2753	308	2	computation	computation	NOUN
easat-2753	308	3	and	and	CCONJ
easat-2753	308	4	soft	soft	ADJ
easat-2753	308	5	computing	computing	NOUN
easat-2753	308	6	,	,	PUNCT
easat-2753	308	7	crete	crete	PROPN
easat-2753	308	8	,	,	PUNCT
easat-2753	308	9	greece	greece	PROPN
easat-2753	308	10	,	,	PUNCT
easat-2753	308	11	pp	pp	ADJ
easat-2753	308	12	.	.	PUNCT
easat-2753	309	1	209	209	NUM
easat-2753	309	2	-	-	SYM
easat-2753	309	3	213	213	NUM
easat-2753	309	4	.	.	PUNCT
easat-2753	310	1	[	[	X
easat-2753	310	2	3	3	X
easat-2753	310	3	]	]	X
easat-2753	310	4	chow	chow	PROPN
easat-2753	310	5	c.h	c.h	PROPN
easat-2753	310	6	,	,	PUNCT
easat-2753	310	7	su	su	PROPN
easat-2753	310	8	m.c	m.c	PROPN
easat-2753	310	9	and	and	CCONJ
easat-2753	310	10	lai	lai	PROPN
easat-2753	310	11	e.	e.	PROPN
easat-2753	310	12	(	(	PUNCT
easat-2753	310	13	2004	2004	NUM
easat-2753	310	14	):	):	PUNCT
easat-2753	310	15	a	a	DET
easat-2753	310	16	new	new	ADJ
easat-2753	310	17	validity	validity	NOUN
easat-2753	310	18	measure	measure	NOUN
easat-2753	310	19	for	for	ADP
easat-2753	310	20	clusters	cluster	NOUN
easat-2753	310	21	with	with	ADP
easat-2753	310	22	different	different	ADJ
easat-2753	310	23	densities	density	NOUN
easat-2753	310	24	.	.	PUNCT
easat-2753	311	1	pattern	pattern	NOUN
easat-2753	311	2	anal	anal	NOUN
easat-2753	311	3	.	.	PUNCT
easat-2753	312	1	applications	application	NOUN
easat-2753	312	2	,	,	PUNCT
easat-2753	312	3	7	7	NUM
easat-2753	312	4	,	,	PUNCT
easat-2753	312	5	pp.2005	pp.2005	PROPN
easat-2753	312	6	-	-	PUNCT
easat-2753	312	7	2020	2020	NUM
easat-2753	312	8	.	.	PUNCT
easat-2753	313	1	[	[	X
easat-2753	313	2	4	4	X
easat-2753	313	3	]	]	X
easat-2753	313	4	datta	datta	PROPN
easat-2753	313	5	s.	s.	PROPN
easat-2753	313	6	(	(	PUNCT
easat-2753	313	7	2006	2006	NUM
easat-2753	313	8	):	):	PUNCT
easat-2753	313	9	methods	method	NOUN
easat-2753	313	10	for	for	ADP
easat-2753	313	11	evaluating	evaluate	VERB
easat-2753	313	12	clustering	clustering	ADJ
easat-2753	313	13	algorithms	algorithm	NOUN
easat-2753	313	14	for	for	ADP
easat-2753	313	15	gene	gene	NOUN
easat-2753	313	16	expression	expression	NOUN
easat-2753	313	17	data	datum	NOUN
easat-2753	313	18	using	use	VERB
easat-2753	313	19	a	a	DET
easat-2753	313	20	reference	reference	NOUN
easat-2753	313	21	set	set	VERB
easat-2753	313	22	of	of	ADP
easat-2753	313	23	functional	functional	ADJ
easat-2753	313	24	classes	class	NOUN
easat-2753	313	25	,	,	PUNCT
easat-2753	313	26	bmc	bmc	ADJ
easat-2753	313	27	bioinformatics	bioinformatics	NOUN
easat-2753	313	28	,	,	PUNCT
easat-2753	313	29	7:397	7:397	NUM
easat-2753	313	30	.	.	PUNCT
easat-2753	314	1	[	[	X
easat-2753	314	2	5	5	X
easat-2753	314	3	]	]	PUNCT
easat-2753	314	4	everitt	everitt	PROPN
easat-2753	314	5	s.	s.	PROPN
easat-2753	314	6	b.	b.	PROPN
easat-2753	314	7	&	&	CCONJ
easat-2753	314	8	landau	landau	PROPN
easat-2753	314	9	s.	s.	PROPN
easat-2753	314	10	,	,	PUNCT
easat-2753	314	11	leese	leese	PROPN
easat-2753	314	12	m.	m.	NOUN
easat-2753	314	13	,	,	PUNCT
easat-2753	314	14	stahl	stahl	PROPN
easat-2753	314	15	d.	d.	PROPN
easat-2753	314	16	,	,	PUNCT
easat-2753	314	17	(	(	PUNCT
easat-2753	314	18	2011	2011	NUM
easat-2753	314	19	):	):	PUNCT
easat-2753	314	20	cluster	cluster	NOUN
easat-2753	314	21	analysis	analysis	NOUN
easat-2753	314	22	,	,	PUNCT
easat-2753	314	23	5th	5th	ADJ
easat-2753	314	24	edition	edition	NOUN
easat-2753	314	25	,	,	PUNCT
easat-2753	314	26	willey	willey	PROPN
easat-2753	314	27	series	series	PROPN
easat-2753	314	28	in	in	ADP
easat-2753	314	29	probability	probability	NOUN
easat-2753	314	30	and	and	CCONJ
easat-2753	314	31	statistics	statistic	NOUN
easat-2753	314	32	,	,	PUNCT
easat-2753	314	33	king‘s	king‘	VERB
easat-2753	314	34	college	college	NOUN
easat-2753	314	35	london	london	PROPN
easat-2753	314	36	,	,	PUNCT
easat-2753	314	37	uk	uk	PROPN
easat-2753	314	38	[	[	X
easat-2753	314	39	6	6	NUM
easat-2753	314	40	]	]	PUNCT
easat-2753	314	41	gordon	gordon	PROPN
easat-2753	314	42	a.	a.	NOUN
easat-2753	314	43	d.(1999	d.(1999	PROPN
easat-2753	314	44	):	):	PUNCT
easat-2753	314	45	classification	classification	NOUN
easat-2753	314	46	.	.	PUNCT
easat-2753	315	1	chapman	chapman	PROPN
easat-2753	315	2	&	&	CCONJ
easat-2753	315	3	hall	hall	PROPN
easat-2753	315	4	/	/	SYM
easat-2753	315	5	crc	crc	PROPN
easat-2753	315	6	,	,	PUNCT
easat-2753	315	7	boca	boca	PROPN
easat-2753	315	8	raton	raton	PROPN
easat-2753	315	9	,	,	PUNCT
easat-2753	315	10	fl	fl	PROPN
easat-2753	315	11	,	,	PUNCT
easat-2753	315	12	2	2	NUM
easat-2753	315	13	edition	edition	NOUN
easat-2753	315	14	,	,	PUNCT
easat-2753	315	15	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-2753	315	16	3555	3555	NUM
easat-2753	315	17	edelweiss	edelweiss	PROPN
easat-2753	315	18	applied	apply	VERB
easat-2753	315	19	science	science	NOUN
easat-2753	315	20	and	and	CCONJ
easat-2753	315	21	technology	technology	NOUN
easat-2753	315	22	issn	issn	PROPN
easat-2753	315	23	:	:	PUNCT
easat-2753	315	24	2576	2576	NUM
easat-2753	315	25	-	-	SYM
easat-2753	315	26	8484	8484	NUM
easat-2753	315	27	vol	vol	NOUN
easat-2753	315	28	.	.	PROPN
easat-2753	315	29	8	8	NUM
easat-2753	315	30	,	,	PUNCT
easat-2753	315	31	no	no	INTJ
easat-2753	315	32	.	.	NOUN
easat-2753	316	1	6	6	NUM
easat-2753	316	2	:	:	SYM
easat-2753	316	3	3542	3542	NUM
easat-2753	316	4	-	-	SYM
easat-2753	316	5	3555	3555	NUM
easat-2753	316	6	,	,	PUNCT
easat-2753	316	7	2024	2024	NUM
easat-2753	316	8	doi	doi	NOUN
easat-2753	316	9	:	:	PUNCT
easat-2753	316	10	10.55214/25768484.v8i6.2753	10.55214/25768484.v8i6.2753	PROPN
easat-2753	316	11	©	©	PROPN
easat-2753	316	12	2024	2024	NUM
easat-2753	316	13	by	by	ADP
easat-2753	316	14	the	the	DET
easat-2753	316	15	authors	author	NOUN
easat-2753	316	16	;	;	PUNCT
easat-2753	317	1	licensee	licensee	PROPN
easat-2753	317	2	learning	learning	NOUN
easat-2753	317	3	gate	gate	NOUN
easat-2753	318	1	[	[	X
easat-2753	318	2	7	7	NUM
easat-2753	318	3	]	]	X
easat-2753	318	4	halkidi	halkidi	NOUN
easat-2753	318	5	m.	m.	NOUN
easat-2753	318	6	,	,	PUNCT
easat-2753	318	7	batistakis	batistakis	PROPN
easat-2753	318	8	y.	y.	PROPN
easat-2753	318	9	,vazirgiannis	,vazirgiannis	PUNCT
easat-2753	318	10	m.	m.	NOUN
easat-2753	318	11	(	(	PUNCT
easat-2753	318	12	2001	2001	NUM
easat-2753	318	13	):	):	PUNCT
easat-2753	318	14	on	on	ADP
easat-2753	318	15	clustering	cluster	VERB
easat-2753	318	16	validation	validation	NOUN
easat-2753	318	17	techniques	technique	NOUN
easat-2753	318	18	.	.	PUNCT
easat-2753	319	1	department	department	PROPN
easat-2753	319	2	of	of	ADP
easat-2753	319	3	informatics	informatics	PROPN
easat-2753	319	4	,	,	PUNCT
easat-2753	319	5	athens	athens	PROPN
easat-2753	319	6	university	university	PROPN
easat-2753	319	7	of	of	ADP
easat-2753	319	8	economics	economic	NOUN
easat-2753	319	9	and	and	CCONJ
easat-2753	319	10	business	business	NOUN
easat-2753	319	11	.	.	PUNCT
easat-2753	320	1	[	[	X
easat-2753	320	2	8	8	NUM
easat-2753	320	3	]	]	X
easat-2753	320	4	izenman	izenman	NOUN
easat-2753	320	5	,	,	PUNCT
easat-2753	320	6	alan	alan	PROPN
easat-2753	320	7	julian	julian	PROPN
easat-2753	320	8	,	,	PUNCT
easat-2753	320	9	(	(	PUNCT
easat-2753	320	10	2008	2008	NUM
easat-2753	320	11	):	):	PUNCT
easat-2753	320	12	modern	modern	ADJ
easat-2753	320	13	multivariate	multivariate	NOUN
easat-2753	320	14	statistical	statistical	ADJ
easat-2753	320	15	techniques	technique	NOUN
easat-2753	320	16	:	:	PUNCT
easat-2753	320	17	regression	regression	NOUN
easat-2753	320	18	,	,	PUNCT
easat-2753	320	19	classification	classification	NOUN
easat-2753	320	20	and	and	CCONJ
easat-2753	320	21	manifold	manifold	ADJ
easat-2753	320	22	learning	learning	NOUN
easat-2753	320	23	,	,	PUNCT
easat-2753	320	24	springer	springer	NOUN
easat-2753	320	25	.	.	PUNCT
easat-2753	321	1	[	[	X
easat-2753	321	2	9	9	NUM
easat-2753	321	3	]	]	SYM
easat-2753	321	4	jankowska	jankowska	PROPN
easat-2753	321	5	,	,	PUNCT
easat-2753	321	6	j	j	PROPN
easat-2753	321	7	,	,	PUNCT
easat-2753	321	8	radzka	radzka	PROPN
easat-2753	321	9	,	,	PUNCT
easat-2753	321	10	e.	e.	PROPN
easat-2753	321	11	and	and	CCONJ
easat-2753	321	12	katarzyna	katarzyna	PROPN
easat-2753	321	13	,	,	PUNCT
easat-2753	321	14	r.	r.	PROPN
easat-2753	321	15	(	(	PUNCT
easat-2753	321	16	2017	2017	NUM
easat-2753	321	17	):	):	PUNCT
easat-2753	321	18	principal	principal	ADJ
easat-2753	321	19	component	component	NOUN
easat-2753	321	20	analysis	analysis	NOUN
easat-2753	321	21	and	and	CCONJ
easat-2753	321	22	cluster	cluster	NOUN
easat-2753	321	23	analysis	analysis	NOUN
easat-2753	321	24	multivariate	multivariate	NOUN
easat-2753	321	25	assessment	assessment	NOUN
easat-2753	321	26	of	of	ADP
easat-2753	321	27	water	water	NOUN
easat-2753	321	28	quality	quality	NOUN
easat-2753	321	29	,	,	PUNCT
easat-2753	321	30	journal	journal	NOUN
easat-2753	321	31	of	of	ADP
easat-2753	321	32	ecological	ecological	ADJ
easat-2753	321	33	engineering	engineering	NOUN
easat-2753	321	34	,	,	PUNCT
easat-2753	321	35	18	18	NUM
easat-2753	321	36	,	,	PUNCT
easat-2753	321	37	2	2	NUM
easat-2753	321	38	.	.	PUNCT
easat-2753	322	1	[	[	X
easat-2753	322	2	10	10	NUM
easat-2753	322	3	]	]	X
easat-2753	322	4	muangthong	muangthong	PROPN
easat-2753	322	5	,	,	PUNCT
easat-2753	322	6	s.	s.	PROPN
easat-2753	322	7	(	(	PUNCT
easat-2753	322	8	2015	2015	NUM
easat-2753	322	9	):	):	PUNCT
easat-2753	322	10	assessment	assessment	NOUN
easat-2753	322	11	of	of	ADP
easat-2753	322	12	surface	surface	NOUN
easat-2753	322	13	water	water	NOUN
easat-2753	322	14	quality	quality	NOUN
easat-2753	322	15	using	use	VERB
easat-2753	322	16	multivariate	multivariate	NOUN
easat-2753	322	17	statistical	statistical	ADJ
easat-2753	322	18	techniques	technique	NOUN
easat-2753	322	19	:	:	PUNCT
easat-2753	322	20	a	a	DET
easat-2753	322	21	case	case	NOUN
easat-2753	322	22	study	study	NOUN
easat-2753	322	23	of	of	ADP
easat-2753	322	24	the	the	DET
easat-2753	322	25	nampong	nampong	PROPN
easat-2753	322	26	river	river	PROPN
easat-2753	322	27	basin	basin	NOUN
easat-2753	322	28	,	,	PUNCT
easat-2753	322	29	thailand	thailand	PROPN
easat-2753	322	30	,	,	PUNCT
easat-2753	322	31	the	the	DET
easat-2753	322	32	journal	journal	NOUN
easat-2753	322	33	of	of	ADP
easat-2753	322	34	industrial	industrial	ADJ
easat-2753	322	35	technology	technology	NOUN
easat-2753	322	36	,	,	PUNCT
easat-2753	322	37	vol	vol	NOUN
easat-2753	322	38	.	.	NOUN
easat-2753	322	39	11	11	NUM
easat-2753	323	1	[	[	X
easat-2753	323	2	11	11	NUM
easat-2753	323	3	]	]	PUNCT
easat-2753	323	4	mirkes	mirke	VERB
easat-2753	323	5	e.m	e.m	PROPN
easat-2753	323	6	.	.	PUNCT
easat-2753	324	1	(	(	PUNCT
easat-2753	324	2	2011	2011	NUM
easat-2753	324	3	):	):	PUNCT
easat-2753	324	4	k	k	NOUN
easat-2753	324	5	-	-	PUNCT
easat-2753	324	6	means	mean	NOUN
easat-2753	324	7	and	and	CCONJ
easat-2753	324	8	k	k	PROPN
easat-2753	324	9	-	-	PUNCT
easat-2753	324	10	medoids	medoids	PROPN
easat-2753	324	11	applet	applet	NOUN
easat-2753	324	12	.	.	PUNCT
easat-2753	325	1	university	university	NOUN
easat-2753	325	2	of	of	ADP
easat-2753	325	3	leicester	leicester	PROPN
easat-2753	325	4	,	,	PUNCT
easat-2753	325	5	http://www.math.le.ac.uk	http://www.math.le.ac.uk	VERB
easat-2753	326	1	[	[	X
easat-2753	326	2	12	12	NUM
easat-2753	326	3	]	]	PUNCT
easat-2753	326	4	micceri	micceri	PROPN
easat-2753	326	5	,	,	PUNCT
easat-2753	326	6	t	t	PROPN
easat-2753	326	7	(	(	PUNCT
easat-2753	326	8	1989	1989	NUM
easat-2753	326	9	):	):	PUNCT
easat-2753	326	10	the	the	DET
easat-2753	326	11	unicorn	unicorn	NOUN
easat-2753	326	12	,	,	PUNCT
easat-2753	326	13	the	the	DET
easat-2753	326	14	normal	normal	ADJ
easat-2753	326	15	curve	curve	NOUN
easat-2753	326	16	,	,	PUNCT
easat-2753	326	17	and	and	CCONJ
easat-2753	326	18	other	other	ADJ
easat-2753	326	19	improbable	improbable	ADJ
easat-2753	326	20	creatures	creature	NOUN
easat-2753	326	21	.	.	PUNCT
easat-2753	327	1	psychological	psychological	ADJ
easat-2753	327	2	bulletin	bulletin	NOUN
easat-2753	327	3	,	,	PUNCT
easat-2753	327	4	105,1	105,1	PROPN
easat-2753	327	5	,	,	PUNCT
easat-2753	327	6	156166	156166	NUM
easat-2753	327	7	.	.	PUNCT
easat-2753	328	1	[	[	X
easat-2753	328	2	13	13	NUM
easat-2753	328	3	]	]	X
easat-2753	328	4	milligan	milligan	PROPN
easat-2753	328	5	g.	g.	PROPN
easat-2753	328	6	w.	w.	PROPN
easat-2753	328	7	(	(	PUNCT
easat-2753	328	8	1996	1996	NUM
easat-2753	328	9	):	):	PUNCT
easat-2753	328	10	clustering	cluster	VERB
easat-2753	328	11	validation	validation	NOUN
easat-2753	328	12	:	:	PUNCT
easat-2753	328	13	results	result	NOUN
easat-2753	328	14	and	and	CCONJ
easat-2753	328	15	implications	implication	NOUN
easat-2753	328	16	for	for	ADP
easat-2753	328	17	applied	apply	VERB
easat-2753	328	18	analyses	analysis	NOUN
easat-2753	328	19	.	.	PUNCT
easat-2753	329	1	clustering	clustering	NOUN
easat-2753	329	2	and	and	CCONJ
easat-2753	329	3	classification	classification	NOUN
easat-2753	329	4	,	,	PUNCT
easat-2753	329	5	341	341	NUM
easat-2753	329	6	-	-	SYM
easat-2753	329	7	375	375	NUM
easat-2753	329	8	.	.	PUNCT
easat-2753	330	1	[	[	X
easat-2753	330	2	14	14	NUM
easat-2753	330	3	]	]	X
easat-2753	330	4	rencher	rencher	PROPN
easat-2753	330	5	c.	c.	PROPN
easat-2753	330	6	a.	a.	PROPN
easat-2753	330	7	(	(	PUNCT
easat-2753	330	8	2002	2002	NUM
easat-2753	330	9	):	):	PUNCT
easat-2753	330	10	methods	method	NOUN
easat-2753	330	11	of	of	ADP
easat-2753	330	12	multivariate	multivariate	NOUN
easat-2753	330	13	analysis	analysis	NOUN
easat-2753	330	14	,	,	PUNCT
easat-2753	330	15	brigham	brigham	PROPN
easat-2753	330	16	young	young	PROPN
easat-2753	330	17	university	university	PROPN
easat-2753	330	18	,	,	PUNCT
easat-2753	330	19	canda	canda	PROPN
easat-2753	330	20	.	.	PUNCT
easat-2753	331	1	[	[	X
easat-2753	331	2	15	15	NUM
easat-2753	331	3	]	]	X
easat-2753	331	4	tardif	tardif	NOUN
easat-2753	331	5	,	,	PUNCT
easat-2753	331	6	geneviève	geneviève	NOUN
easat-2753	331	7	(	(	PUNCT
easat-2753	331	8	2015	2015	NUM
easat-2753	331	9	):	):	PUNCT
easat-2753	331	10	multivariate	multivariate	NOUN
easat-2753	331	11	analysis	analysis	NOUN
easat-2753	331	12	of	of	ADP
easat-2753	331	13	canadian	canadian	ADJ
easat-2753	331	14	water	water	NOUN
easat-2753	331	15	quality	quality	NOUN
easat-2753	331	16	data	datum	NOUN
easat-2753	331	17	,	,	PUNCT
easat-2753	331	18	phd	phd	NOUN
easat-2753	331	19	thesis	thesis	NOUN
easat-2753	331	20	,	,	PUNCT
easat-2753	331	21	university	university	NOUN
easat-2753	331	22	of	of	ADP
easat-2753	331	23	ottawa,177	ottawa,177	NOUN
easat-2753	332	1	[	[	X
easat-2753	332	2	16	16	NUM
easat-2753	332	3	]	]	X
easat-2753	332	4	wang	wang	PROPN
easat-2753	332	5	,	,	PUNCT
easat-2753	332	6	x.	x.	PROPN
easat-2753	332	7	,	,	PUNCT
easat-2753	332	8	zou	zou	PROPN
easat-2753	332	9	,	,	PUNCT
easat-2753	332	10	z.	z.	PROPN
easat-2753	332	11	zou	zou	PROPN
easat-2753	332	12	,	,	PUNCT
easat-2753	332	13	h.(2015	h.(2015	PROPN
easat-2753	332	14	):	):	PUNCT
easat-2753	332	15	an	an	DET
easat-2753	332	16	enhanced	enhanced	ADJ
easat-2753	332	17	k	k	NOUN
easat-2753	332	18	-	-	PUNCT
easat-2753	332	19	means	means	NOUN
easat-2753	332	20	algorithm	algorithm	NOUN
easat-2753	332	21	for	for	ADP
easat-2753	332	22	water	water	NOUN
easat-2753	332	23	quality	quality	NOUN
easat-2753	332	24	analysis	analysis	NOUN
easat-2753	332	25	of	of	ADP
easat-2753	332	26	the	the	DET
easat-2753	332	27	haihe	haihe	PROPN
easat-2753	332	28	river	river	PROPN
easat-2753	332	29	in	in	ADP
easat-2753	332	30	china	china	PROPN
easat-2753	332	31	,	,	PUNCT
easat-2753	332	32	int	int	PROPN
easat-2753	332	33	.	.	PUNCT
easat-2753	333	1	j.	j.	PROPN
easat-2753	333	2	of	of	ADP
easat-2753	333	3	environmental	environmental	ADJ
easat-2753	333	4	research	research	NOUN
easat-2753	333	5	and	and	CCONJ
easat-2753	333	6	public	public	ADJ
easat-2753	333	7	health	health	NOUN
easat-2753	333	8	12(11):14400	12(11):14400	NUM
easat-2753	333	9	-	-	SYM
easat-2753	333	10	14413	14413	NUM
easat-2753	333	11	[	[	X
easat-2753	333	12	17	17	NUM
easat-2753	333	13	]	]	PUNCT
easat-2753	333	14	world	world	PROPN
easat-2753	333	15	health	health	NOUN
easat-2753	333	16	organization	organization	NOUN
easat-2753	333	17	(	(	PUNCT
easat-2753	333	18	1996	1996	NUM
easat-2753	333	19	):	):	PUNCT
easat-2753	333	20	who	who	PRON
easat-2753	333	21	handbook	handbook	VERB
easat-2753	333	22	on	on	ADP
easat-2753	333	23	indoor	indoor	ADJ
easat-2753	333	24	radon	radon	NOUN
easat-2753	333	25	:	:	PUNCT
easat-2753	333	26	a	a	DET
easat-2753	333	27	public	public	ADJ
easat-2753	333	28	health	health	NOUN
easat-2753	333	29	perspective	perspective	NOUN
easat-2753	333	30	.	.	PUNCT
easat-2753	334	1	geneva	geneva	PROPN
easat-2753	334	2	.	.	PUNCT
easat-2753	335	1	[	[	X
easat-2753	335	2	18	18	NUM
easat-2753	335	3	]	]	PUNCT
easat-2753	335	4	world	world	PROPN
easat-2753	335	5	health	health	NOUN
easat-2753	335	6	organization	organization	NOUN
easat-2753	335	7	(	(	PUNCT
easat-2753	335	8	2007	2007	NUM
easat-2753	335	9	):	):	PUNCT
easat-2753	335	10	guidelines	guideline	NOUN
easat-2753	335	11	for	for	ADP
easat-2753	335	12	drinking	drinking	NOUN
easat-2753	335	13	-	-	PUNCT
easat-2753	335	14	water	water	NOUN
easat-2753	335	15	quality	quality	NOUN
easat-2753	335	16	,	,	PUNCT
easat-2753	335	17	second	second	ADJ
easat-2753	335	18	edition	edition	NOUN
easat-2753	335	19	.	.	PUNCT
easat-2753	336	1	[	[	X
easat-2753	336	2	19	19	NUM
easat-2753	336	3	]	]	PUNCT
easat-2753	336	4	world	world	PROPN
easat-2753	336	5	health	health	NOUN
easat-2753	336	6	organization	organization	NOUN
easat-2753	336	7	,	,	PUNCT
easat-2753	336	8	(	(	PUNCT
easat-2753	336	9	2008	2008	NUM
easat-2753	336	10	):	):	PUNCT
easat-2753	336	11	guidelines	guideline	NOUN
easat-2753	336	12	for	for	ADP
easat-2753	336	13	drinking	drinking	NOUN
easat-2753	336	14	-	-	PUNCT
easat-2753	336	15	water	water	NOUN
easat-2753	336	16	quality	quality	NOUN
easat-2753	336	17	,	,	PUNCT
easat-2753	336	18	third	third	ADJ
easat-2753	336	19	edition	edition	NOUN
easat-2753	336	20	.	.	PUNCT
easat-2753	337	1	[	[	X
easat-2753	337	2	20	20	NUM
easat-2753	337	3	]	]	PUNCT
easat-2753	337	4	yeung	yeung	PROPN
easat-2753	337	5	k.y	k.y	PROPN
easat-2753	337	6	.	.	PROPN
easat-2753	337	7	,	,	PUNCT
easat-2753	337	8	haynor	haynor	PROPN
easat-2753	337	9	d.r	d.r	PROPN
easat-2753	337	10	.	.	PROPN
easat-2753	337	11	,	,	PUNCT
easat-2753	337	12	and	and	CCONJ
easat-2753	337	13	ruzzo	ruzzo	PROPN
easat-2753	337	14	w.l.(2001	w.l.(2001	PROPN
easat-2753	337	15	):	):	PUNCT
easat-2753	337	16	validating	validate	VERB
easat-2753	337	17	clustering	clustering	NOUN
easat-2753	337	18	for	for	ADP
easat-2753	337	19	gene	gene	NOUN
easat-2753	337	20	expression	expression	NOUN
easat-2753	337	21	data	datum	NOUN
easat-2753	337	22	,	,	PUNCT
easat-2753	337	23	bioinformatics	bioinformatics	NOUN
easat-2753	337	24	,	,	PUNCT
easat-2753	337	25	17(4):309	17(4):309	NUM
easat-2753	337	26	-	-	SYM
easat-2753	337	27	18	18	NUM