Advances in Fuzzy Systems / 2016 / Article / Tab 5

Research Article

Fuzzy Rules for Ant Based Clustering Algorithm

Table 5

Mean, standard deviation, mode, min, and max values of accuracy classification achieved by each clustering algorithm (-means, -medoid, FCM, and ASClass) over 20 trials on dataset presented in Table 2.

DatasetsAlgorithmMeanStdModeMinMax

Art1-means0.1930.1800.0520.0520.477
-medoid0.2260.1580.0500.0250.485
FCM0.4451.139 × 10−160.4450.4450.445
ASClass0.3521.708 × 10−160.3520.3520.352

Art2-means0.4520.4900.0200.0200.980
-medoid0.5960.4820.9800.0200.980
FCM0.0203.559 × 10−180.0200.0200.020
ASClass0.9654.556 × 10−160.9650.9650.965

Art3-means0.2790.2360.0490.0020.702
-medoid0.2010.1950.3449.090 × 10−40.674
FCM0.0661.423 × 10−190.0660.0660.066
ASClass0.6610.0010.6600.6600.662

Art4-means0.5500.510101
-medoid0.4270.494001
FCM0.0158.898 × 10−160.0150.0150.015
ASClass0.9841.139 × 10−160.9840.9840.984

Art5-means0.0910.0650.1260.0100.197
-medoid0.1160.1330.0140.0030.544
FCM0.0944.271 × 10−170.0940.0940.094
ASClass0.4932.278 × 10−160.4930.4930.493

Art6-means0.3580.2730.25001
-medoid0.1720.176000.572
FCM0.25000.2500.2500.250
ASClass0.9180.0020.9180.9120.921

Iris-means0.4240.3360.52000.886
-medoid0.2890.229000.873
FCM0.2535.695 × 10−170.2530.2530.253
ASClass0.74500.7450.7450.745

Thyroid-means0.2120.2810.0320.0320.888
-medoid0.4480.3410.6970.0230.944
FCM0.07400.0740.0740.074
ASClass0.6501.139 × 10−160.6500.6500.650

Pima-means0.5500.1640.6680.3320.668
-medoid0.5050.1580.3340.3200.686
FCM0.3331.139 × 10−160.33330.3330.333
ASClass0.4540.0050.4560.4380.464

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