Advances in Fuzzy Systems / 2016 / Article / Tab 4 / Research Article
Fuzzy Rules for Ant Based Clustering Algorithm Table 4 Mean, standard deviation, mode, min, and max values of
error rate achieved by each clustering algorithm (
-means,
-medoid, FCM, and ASClass) over 20 trials on dataset presented in Table
2 .
Datasets Algorithm Mean Std Mode Min Max Art1 -means0.806 0.180 0.947 0.5225 0.9950 -medoid0.773 0.158 0.760 0.5150 0.9750 FCM 0.555 0.555 0.5550 0.5550 ASClass 0.471 0 0.471 0.4713 0.4713 Art2 -means0.548 0.490 0.980 0.020 0.980 -medoid0.404 0.482 0.020 0.020 0.980 FCM 0.980 0.980 0.980 0.980 ASClass 0.039 0 0.039 0.039 0.039 Art3 -means0.749 0.227 0.585 0.222 0.989 -medoid0.810 0.141 0.549 0.549 0.995 FCM 0.644 0 0.644 0.644 0.644 ASClass 0.507 0.508 0.506 0.508 Art4 -means0.450 0.510 0 0 1 -medoid0.572 0.494 1 0 1 FCM 0.985 2.278 × 10−16 0.985 0.985 0.985 ASClass 0.015 0 0.015 0.015 0.015 Art5 -means0.908 0.065 0.873 0.802 0.990 -medoid0.883 0.133 0.985 0.455 0.996 FCM 0.905 2.278 × 10 −16 0.905 0.905 0.905 ASClass 0.4766 0 0.476 0.476 0.476 Art6 -means0.641 0.273 0.750 0 1 -medoid0.827 0.176 1 0.427 1 FCM 0.750 0 0.750 0.750 0.750 ASClass 0.089 0.002 0.088 0.085 0.095 Iris -means0.576 0.336 0.480 0.113 1 -medoid0.710 0.229 0.126 0.126 1 FCM 0.746 2.278 × 10−16 0.746 0.746 0.746 ASClass 0.257 5.695 × 10−17 0.257 0.257 0.257 Thyroid -means0.774 0.166 0.922 0.239 0.922 -medoid0.594 0.261 0.666 0.128 0.952 FCM 0.847 2.278 × 10−16 0.847 0.847 0.847 ASClass 0.476 0 0.476 0.476 0.476 Pima -means0.461 0.125 0.371 0.371 0.628 -medoid0.504 0.116 0.616 0.325 0.641 FCM 0.650 1.139 × 10−16 0.650 0.650 0.650 ASClass 0.543 0.008 0.538 0.530 0.565