Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint

Table 6

ACC comparison of different algorithms under different data sets.

Algorithm	WBC	Vote	Dermatology	Dnatest	Pima	Vowel	TOX-171	Abalone
K-means	0.9606	0.8178	0.7249	0.6830	0.6602	0.3683	0.4261	0.1436
FCM	0.9561	0.8138	0.5033	0.5735	0.6589	0.2387	0.3977	0.1214
Rcut	0.6437	0.6170	0.3138	0.5087	0.6494	0.0975	0.3163	0.1645
Ncut	0.6515	0.8248	0.6967	0.5126	0.6445	0.3197	0.2690	0.1386
PS-FCM	0.9561	0.8138	0.5027	0.5698	0.6589	0.2321	0.3977	0.1276
INCM	0.9065	0.8000	0.5314	0.6054	0.6510	0.2708	0.3918	0.1650
SNCM	0.9618	0.8226	0.7530	0.6984	0.6602	0.3743	0.4225	0.2172

The bold values indicate the highest clustering accuracy (ACC), and the values in italics indicate the second highest.