A set theory based similarity measure for text clustering and classification

Amer, Ali A.; Abdalla, Hassan I.

doi:10.1186/s40537-020-00344-3

Journal of Big Data

Table 23 STB-SM Accuracy when NF = 6000 on both datasets

From: A set theory based similarity measure for text clustering and classification

No. of features	Metric	Measure	k	Reuters-8	Web-Kb
6000	STB_SM	Accuracy	1	0.9255733448723497	0.7456418383518225
			3	0.9363911726525314	0.777337559429477
			5	0.9333621808740805	0.786053882725832
			7	0.9316313284292514	0.7868462757527733
			9	0.9294677628732151	0.7828843106180665
			11	0.927736910428386	0.7884310618066561
			13	0.9303331890956296	0.7939778129952456
			15	0.9264387710947641	0.7995245641838352
			17	0.9264387710947641	0.7995245641838352
			19	0.927736910428386	0.8042789223454834
			21	0.927736910428386	0.805863708399366
			23	0.9255733448723497	0.8082408874801902
			25	0.9242752055387278	0.7995245641838352
			27	0.9273041973171787	0.803486529318542
			29	0.9242752055387278	0.8019017432646592
			31	0.9255733448723497	0.8066561014263075
			33	0.9242752055387278	0.8019017432646592
			35	0.9251406317611424	0.7995245641838352
			37	0.9247079186499351	0.8019017432646592
			39	0.9225443530938987	0.8019017432646592
			41	0.9212462137602769	0.803486529318542
			43	0.9225443530938987	0.8019017432646592
			45	0.9212462137602769	0.8026941362916006
			47	0.9208135006490696	0.8011093502377179
			49	0.9208135006490696	0.7971473851030111
			51	0.9186499350930333	0.8011093502377179
			53	0.9173517957594115	0.8003169572107766
			55	0.9177845088706188	0.8003169572107766
			57	0.9182172219818261	0.8011093502377179
			59	0.9160536564257897	0.7971473851030111
			61	0.9151882302033751	0.7971473851030111
			63	0.9130246646473388	0.794770206022187
			65	0.9138900908697534	0.7955625990491284
			67	0.9134573777585461	0.7923930269413629
			69	0.9134573777585461	0.7908082408874801
			71	0.9130246646473388	0.7908082408874801
			73	0.9121592384249243	0.7876386687797148
			75	0.9112938122025097	0.7884310618066561
			77	0.911726525313717	0.7908082408874801
			79	0.911726525313717	0.7923930269413629
			81	0.9086975335352662	0.7900158478605388
			83	0.9095629597576806	0.7892234548335975
			85	0.9086975335352662	0.7892234548335975
			87	0.9086975335352662	0.7876386687797148
			89	0.906966681090437	0.7876386687797148
			91	0.9078321073128516	0.786053882725832
			93	0.9073993942016443	0.7844690966719493
			95	0.9065339679792298	0.786053882725832
			97	0.906966681090437	0.783676703645008
			99	0.9095629597576806	0.783676703645008
			101	0.9065339679792298	0.7844690966719493
			103	0.9061012548680225	0.7852614896988906
			105	0.9048031155344007	0.783676703645008
			107	0.9030722630895716	0.7844690966719493
			109	0.9043704024231934	0.7852614896988906
			111	0.9026395499783644	0.7876386687797148
			113	0.9022068368671571	0.7884310618066561
			115	0.9022068368671571	0.7828843106180665
			117	0.900475984422328	0.7797147385103012
			119	0.8991778450887062	0.7828843106180665
			Average	0.9163781912591951	0.792247754886423

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