Research Article

Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint

Table 7

NMI comparison of different algorithms under different data sets.

AlgorithmWBCVoteDermatologyDnatestPimaVowelTOX-171Abalone

K-means0.74360.33870.82310.26750.02670.44690.14180.1591
FCM0.72230.33330.32030.17780.03170.23970.07220.1412
Rcut0.00420.00450.02010.00180.00100.02030.02220.0054
Ncut0.00240.34580.65560.00900.00430.38330.01810.1617
FC-PFS0.72230.33330.31930.16820.03170.20630.07220.1456
INCM0.11480.29180.01170.17870.00220.23410.06850.1596
SNCM0.74940.34780.80790.27860.02670.44360.13550.1286

The bold values indicate the highest NMI, and the values in italics indicate the second highest.