Advances in Fuzzy Systems / 2016 / Article / Tab 8 / Research Article
Fuzzy Rules for Ant Based Clustering Algorithm Table 8 Mean, standard deviation, mode, min, and max values of
separation index achieved by each clustering algorithm (FCM, ASClass
3 , and F-ASClass) over 20 trials on dataset presented in Table
2 .
Datasets Algorithm Mean Std Mode Min Max Art1 FCM 0.003 4.449 × 10−19 0.003 0.003 0.003 ASClass3 6.026 × 10−4 0 0 0.012 F-ASClass 1.242 × 10−4 0 0 0.002 Art2 FCM 0.001 4.449 × 10−19 0.001 0.001 0.001 ASClass3 1.086 × 10−4 0 0 0.003 F-ASClass 3.972 × 10−5 0 0 0.001 Art3 FCM 0.001 4.449 × 10−19 0.001 0.001 0.001 ASClass3 1.453 × 10−4 0 0 0.004 F-ASClass 3.913 × 10−5 0 0 0.001 Art4 FCM 0.009 3.559 × 10−18 0.009 0.009 0.009 ASClass3 5.333 × 10−4 0 0 0.007 F-ASClass 4.985 × 10−4 0 0 0.007 Art5 FCM 0.001 0 0.001 0.001 0.001 ASClass3 1.205 × 10−4 0 0 0.003 F-ASClass 3.623 × 10−5 0 0 0.001 Art6 FCM 0.002 8.898 × 10−19 0.002 0.002 0.002 ASClass3 1.623 × 10−4 0 0 0.003 F-ASClass 8.407 × 10−5 0 0 0.001 Iris FCM 0.006 1.779 × 10−18 0.006 0.006 0.006 ASClass3 0.001 0 0 0.014 F-ASClass 3.884 × 10−4 0 0 0.004 Thyroid FCM 0.0089 3.559 × 10−18 0.008 0.008 0.008 ASClass3 0.005 0 0 0.082 F-ASClass 3.623 × 10−4 0 0 0.005 Pima FCM 0.012 5.339 × 10−18 0.012 0.012 0.012 ASClass3 7.935 × 10−4 0 0 0.021 F-ASClass 1.765 × 10−4 0 0 0.004
