Incremental Fuzzy Clustering Based on Feature Reduction

Table 2

Accuracy comparison of four single-pass algorithms.

Datasets	Algorithms	SPFRFCM		SPFCOM		SPHFCM		SPFCM
	Index	FM	AC	FM	AC	FM	AC	FM	AC
IR	5%	0.895	0.941	0.880	0.933	0.881	0.873	0.778	0.854
	10%	0.908	0.951	0.858	0.911	0.893	0.893	0.790	0.869
	20%	0.904	0.949	0.888	0.937	0.886	0.813	0.796	0.875
	50%	0.900	0.947	0.900	0.923	0.855	0.831	0.788	0.846
WB	5%	0.823	0.874	0.751	0.794	0.624	0.717	0.708	0.729
	10%	0.881	0.930	0.710	0.726	0.634	0.737	0.744	0.803
	20%	0.863	0.918	0.698	0.717	0.631	0.735	0.782	0.847
	50%	0.857	0.916	0.764	0.818	0.658	0.767	0.852	0.909
WR	5%	0.372	0.375	0.281	0.287	0.266	0.281	0.267	0.254
	10%	0.346	0.329	0.280	0.279	0.264	0.277	0.263	0.251
	20%	0.347	0.360	0.270	0.281	0.275	0.291	0.271	0.261
	50%	0.347	0.341	0.268	0.291	0.267	0.284	0.259	0.246
PB	5%	0.900	0.900	0.895	0.898	0.898	0.899	0.895	0.897
	10%	0.916	0.908	0.890	0.890	0.830	0.832	0.890	0.890
	20%	0.884	0.881	0.897	0.898	0.744	0.744	0.897	0.898
	50%	0.876	0.866	0.876	0.861	0.740	0.738	0.702	0.691
SE	5%	0.608	0.698	0.512	0.606	0.578	0.670	0.443	0.550
	10%	0.607	0.690	0.492	0.586	0.582	0.661	0.448	0.545
	20%	0.609	0.675	0.506	0.617	0.586	0.664	0.462	0.572
	50%	0.611	0.680	0.514	0.635	0.589	0.648	0.440	0.529
GS	5%	0.430	0.457	0.418	0.420	0.411	0.420	0.418	0.438
	10%	0.432	0.455	0.423	0.509	0.414	0.426	0.414	0.425
	20%	0.431	0.446	0.381	0.429	0.416	0.421	0.417	0.432
	50%	0.425	0.435	0.397	0.415	0.412	0.424	0.418	0.435