Research Article

Incremental Fuzzy Clustering Based on Feature Reduction

Table 3

Accuracy comparison of four online algorithms.

DatasetsAlgorithmsOFRFCMOFCOMOHFCMOFCM
IndexFMACFMACFMACFMAC

IR5%0.9240.9600.8820.9130.8790.8750.8080.880
10%0.9250.9600.8870.9090.8820.8780.8010.853
20%0.9190.9570.8960.9330.8820.8790.8040.858
50%0.9100.9520.9080.9240.8820.8790.8130.893

WB5%0.8250.8920.6820.6940.6910.6240.6950.629
10%0.7320.7440.6950.7070.6910.6230.6950.629
20%0.8730.9260.6700.6980.6910.6240.6950.629
50%0.8260.8650.7260.7600.6910.6230.6950.629

WR5%0.3940.3870.3070.3190.2770.2940.3900.338
10%0.4120.3910.2990.3150.2690.2880.3610.304
20%0.3300.3500.3070.3220.2760.2930.3910.345
50%0.3910.3430.2900.3190.2760.3020.3390.332

PB5%0.9120.9090.8610.8510.7170.7120.8240.820
10%0.9230.9040.8600.8550.8250.8240.8660.866
20%0.8950.8980.8960.8990.7820.7800.8370.834
50%0.8950.8980.8750.8760.6950.6860.7840.780

SE5%0.5530.5850.4560.5400.3650.4340.4110.485
10%0.5570.6030.4490.5260.3790.4510.4420.522
20%0.6110.6580.4120.5270.3590.4260.4510.531
50%0.6090.6690.4880.5510.3590.4290.4240.508

GS5%0.3160.3510.2910.3050.2990.2160.2910.305
10%0.3240.3650.3240.3650.2820.3070.2820.307
20%0.3050.3240.3050.3240.2850.2300.2670.320
50%0.2790.3530.2670.3200.2860.2320.2850.230