Advances in Fuzzy Systems / 2016 / Article / Tab 7 / Research Article
Fuzzy Rules for Ant Based Clustering Algorithm Table 7 Mean, standard deviation, mode, min, and max values of
accuracy classification achieved by each clustering algorithm (ASClass
1 , ASClass
2 , ASClass
3 , and F-ASClass) over 20 trials on dataset presented in Table
2 .
Datasets Algorithm Mean Std Mode Min Max Art1 ASClass1 0.321 0.096 0.2375 0.2175 0.565 ASClass2 0.313 0.095 0.245 0.210 0.5375 ASClass3 0.415 5.695 × 10−17 0.415 0.415 0.415 F-ASClass 0.455 5.695 × 10−17 0.455 0.455 0.455 Art2 ASClass1 0.859 0.017 0.852 0.826 0.894 ASClass2 0.855 0.035 0.805 0.805 0.915 ASClass3 0.854 4.556 × 10−16 0.854 0.854 0.854 F-ASClass 0.980 2.27 × 10−16 0.980 0.980 0.980 Art3 ASClass1 0.476 0.086 0.430 0.390 0.680 ASClass2 0.483 0.101 0.384 0.384 0.663 ASClass3 0.397 1.139 × 10−16 0.619 0.619 0.619 F-ASClass 0.466 2.278 × 10−16 0.466 0.466 0.466 Art4 ASClass1 — — — — — ASClass2 — — — — — ASClass3 0.980 2.278 × 10−16 0.980 0.980 0.980 F-ASClass 0.985 2.278 × 10−16 0.985 0.985 0.985 Art5 ASClass1 0.335 0.033 0.293 0.293 0.408 ASClass2 0.330 0.031 0.305 0.291 0.396 ASClass3 0.292 1.139 × 10−16 0.292 0.292 0.292 F-ASClass 0.476 0 0.476 0.476 0.476 Art6 ASClass1 0.821 0.031 0.792 0.792 0.907 ASClass2 0.824 0.025 0.792 0.792 0.885 ASClass3 0.820 8.542 × 10−17 0.179 0.179 0.179 F-ASClass 1 0 1 1 1 Iris ASClass1 0.664 0.050 0.706 0.580 0.726 ASClass2 0.655 0.060 0.580 0.573 0.760 ASClass3 0.693 0 0.693 0.693 0.693 F-ASClass 0.893 1.139 × 10−16 0.893 0.893 0.893 Thyroid ASClass1 0.592 0.052 0.595 0.493 0.674 ASClass2 0.567 0.055 0.544 0.493 0.665 ASClass3 0.544 1.139 × 10−16 0.544 0.544 0.544 F-ASClass 0.906 1.139 × 10−16 0.906 0.906 0.906 Pima ASClass1 0.473 0.021 0.447 0.447 0.505 ASClass2 0.468 0.024 0.450 0.433 0.509 ASClass3 0.441 0 0.441 0.441 0.441 F-ASClass 0.333 1.139 × 10−16 0.333 0.333 0.333
