Table 2 NMI and ARI values of 10 clustering ensemble algorithms on synthetic datasets.

Dataset	ECC	WHAC	EAC	PTGP	DGWEC	ECPCS-HC	HGCEA	BCESF-SC	BCESF-DC	BCESF-DSC
NMI
S-1	0.8294	0.8816	0.8733	0.8536	0.7671	0.9319	0.9263	0.9924*	0.9924*	0.9924*
S-2	0.9576	0.9249	0.9619	0.9146	0.9476	0.9706	0.9647	0.9942*	0.9942*	0.9942*
S-3	0.6727	0.7178	0.7506	0.7673	0.7646	0.8348	0.8047	0.8383	0.8329	0.8598*
S-4	0.5083	0.3438	0.5544	0.5312	0.0065	0.7937	0.8502	1*	1*	1*
ARI
S-1	0.6533	0.8096	0.7760	0.7275	0.6755	0.9221	0.8904	0.9956*	0.9956*	0.9956*
S-2	0.8915	0.8232	0.9029	0.8305	0.8535	0.9397	0.9288	0.9928*	0.9928*	0.9928*
S-3	0.5044	0.5869	0.7359	0.7598	0.7335	0.7991	0.7788	0.8060	0.7949	0.8324*
S-4	0.4640	0.2398	0.4569	0.4165	0.0040	0.7379	0.8345	1*	1*	1*

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