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 (ASClass1, ASClass2, ASClass3, and F-ASClass) over 20 trials on dataset presented in Table 2.

DatasetsAlgorithmMeanStdModeMinMax

Art1ASClass10.3210.0960.23750.21750.565
ASClass20.3130.0950.2450.2100.5375
ASClass30.4155.695 × 10−170.4150.4150.415
F-ASClass0.4555.695 × 10−170.4550.4550.455

Art2ASClass10.8590.0170.8520.8260.894
ASClass20.8550.0350.8050.8050.915
ASClass30.8544.556 × 10−160.8540.8540.854
F-ASClass0.9802.27 × 10−160.9800.9800.980

Art3ASClass10.4760.0860.4300.3900.680
ASClass20.4830.1010.3840.3840.663
ASClass30.3971.139 × 10−160.6190.6190.619
F-ASClass0.4662.278 × 10−160.4660.4660.466

Art4ASClass1
ASClass2
ASClass30.9802.278 × 10−160.9800.9800.980
F-ASClass0.9852.278 × 10−160.9850.9850.985

Art5ASClass10.3350.0330.2930.2930.408
ASClass20.3300.0310.3050.2910.396
ASClass30.2921.139 × 10−160.2920.2920.292
F-ASClass0.47600.4760.4760.476

Art6ASClass10.8210.0310.7920.7920.907
ASClass20.8240.0250.7920.7920.885
ASClass30.8208.542 × 10−170.1790.1790.179
F-ASClass10111

IrisASClass10.6640.0500.7060.5800.726
ASClass20.6550.0600.5800.5730.760
ASClass30.69300.6930.6930.693
F-ASClass0.8931.139 × 10−160.8930.8930.893

ThyroidASClass10.5920.0520.5950.4930.674
ASClass20.5670.0550.5440.4930.665
ASClass30.5441.139 × 10−160.5440.5440.544
F-ASClass0.9061.139 × 10−160.9060.9060.906

PimaASClass10.4730.0210.4470.4470.505
ASClass20.4680.0240.4500.4330.509
ASClass30.44100.4410.4410.441
F-ASClass0.3331.139 × 10−160.3330.3330.333

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