TABLE VIII.

Clustering Performance (NMI, RI, and DBI) of Different Clustering Algorithms on Real Datasets

Dataset	Metrics	Algorithm
		LSSMTC	CombKM	MEC	STC	TSC	CPM-JL-CDMEC
TD1	NMI-m	0.5347	0.5153	0.6087	0.4333	0.6198	0.6489
	NMI-s	0.0600	0.0828	0.0309	0	0	1.17E-16
	RI-m	0.8010	0.7744	0.8838	0.8304	0.8982	0.9077
	RI-s	0.0653	0.1054	0.0147	0	0	2.34E-16
	DBI-m	2.4851	3.0258	2.3648	4.5092	2.8825	2.3205
	DBI-s	0.0911	0.0574	0.1139	0	0	0
TD2	NMI-m	0.6004	0.5434	0.5930	0.3421	0.6661	0.6817
	NMI-s	0.0838	0.1031	0.0032	0	0	0.0025
	RI-m	0.8375	0.7923	0.8913	0.8042	0.9148	0.9150
	RI-s	0.0698	0.0706	0.0031	0	0	0.0015
	DBI-m	2.6604	2.4835	2.7696	4.9633	2.3927	2.3369
	DBI-s	0.0859	0.0544	0.1510	0	0	0
rec VS talk	NMI-m	0.0818	0.0572	0.2691	0.1865	0.4224	0.6470
	NMI-s	1.46E-17	0.0201	0	0.0055	0	1.17E-16
	RI-m	0.5021	0.5002	0.5960	0.5747	0.7359	0.8593
	RI-s	0	0.0004	0	0.0078	0	1.17E-16
	DBI-m	2.2505	2.5320	2.4388	3.9824	1. 7190	1.4448
	DBI-s	0	4.68E-16	4.68E-16	0	0	0
ORL	NMI-m	0.3582	0.2124	0.2909	0.3310	0.2950	0.5218
	NMI-s	0	0.0954	0	0.0183	0.0054	0
	RI-m	0.7748	0.5870	0.7996	0.8116	0.8124	0.8667
	RI-s	0	0.1806	0	0.0034	0.0004	2.34E-16
	DBI-m	5.7024	6.1604	3.2747	1.5186	3.2241	3.1124
	DBI-s	0	9.36E-16	0.0934	0.0361	0	0
RTHM	NMI-m	0.4491	0.5120	0.5655	0.5914	0.5986	0.6737
	NMI-s	0	0	0.0154	0.0101	0.0040	1.36E-16
	RI-m	0.7515	0.7745	0.7929	0.8686	0.8862	0.8985
	RI-s	0	1.17E-16	0.0065	0.0003	0.0002	0
	DBI-m	1.0867	1.0951	1.4513	1.4873	0.74337	1.2232
	DBI-s	2.34E-16	2.34E-16	0.1386	0	0.0046	0.0003

Note: *-m and *-s denote the values of the mean and the standard deviation, respectively.