Criterion | Data | FCM | S-FCM (α = 0.5) | S-FCM* |
m = 2 | ||||
Iteration number | Iris | 34 | 22 | 16 |
Wine | 45 | 28 | 22 | |
Ionosphere | 15 | 14 | 11 | |
Sonar | 42 | 19 | 16 | |
GCM_efg | 171 | 28 | 19 | |
Leukemia | 65 | 25 | 20 | |
Iteration times (s) | Iris | 0.21 | 0.08 | 0.07 |
Wine | 0.23 | 0.09 | 0.08 | |
Ionosphere | 0.36 | 0.31 | 0.30 | |
Sonar | 0.25 | 0.21 | 0.19 | |
GCM_efg | 13.6 | 2.78 | 2.28 | |
Leukemia | 2.95 | 0.77 | 0.65 | |
Classification rate (100%) | Iris | 88 | 88.67 | 88.67 |
Wine | 68.54 | 69.66 | 69.66 | |
Ionosphere | 69.8 | 70.66 | 70.66 | |
Sonar | 55.77 | 55.29 | 55.77 | |
GCM_efg | 69.77 | 74.42 | 74.42 | |
Leukemia | 69.44 | 87.5 | 87.5 | |
m = 10 | ||||
Iteration number | Iris | 25 | 17 | 15 |
Wine | 49 | 20 | 18 | |
Ionosphere | 16 | 14 | 13 | |
Sonar | 42 | 19 | 16 | |
GCM_efg | 141 | 31 | 29 | |
Leukemia | 37 | 17 | 15 | |
Iteration times (s) | Iris | 0.13 | 0.04 | 0.04 |
Wine | 0.28 | 0.18 | 0.10 | |
Ionosphere | 0.41 | 0.38 | 0.23 | |
Sonar | 0.29 | 0.22 | 0.19 | |
GCM_efg | 12.5 | 2.94 | 1.56 | |
Leukemia | 2.94 | 1.35 | 1.24 | |
Classification rate (100%) | Iris | 88 | 88.67 | 88.67 |
Wine | 68.54 | 69.66 | 69.66 | |
Ionosphere | 69.8 | 70.66 | 70.66 | |
Sonar | 55.77 | 55.29 | 55.77 | |
GCM_efg | 69.77 | 74.42 | 74.42 | |
Leukemia | 69.44 | 87.5 | 87.5 |