Advances in Fuzzy Systems / 2016 / Article / Tab 6

Research Article

Fuzzy Rules for Ant Based Clustering Algorithm

Table 6

Average on 20 trials. Mean, standard deviation, mode, min, and max values of error rate achieved by each clustering (ASClass1, ASClass2, ASClass3, and F-ASClass) algorithm over 20 trials on dataset presented in Table 2.

DatasetsAlgorithmMeanStdModeMinMax

Art1ASClass10.6780.0960.76250.4340.782
ASClass20.6860.0950.7550.4620.790
ASClass30.5852.278 × 10−160.5850.5850.585
F-ASClass0.54500.5450.5450.545

Art2ASClass10.1400.0170.1480.1060.173
ASClass20.1440.0350.0840.0840.195
ASClass30.1455.695 × 10−170.1460.1460.146
F-ASClass0.02000.0200.0200.020

Art3ASClass10.6090.0710.6160.4090.703
ASClass20.6330.0700.6890.4730.705
ASClass30.6191.139 × 10−160.6190.6190.619
F-ASClass0.6761.139 × 10−160.6750.6750.675

Art4ASClass1
ASClass2
ASClass30.02000.0200.0200.020
F-ASClass0.01500.0150.0150.015

Art5ASClass10.6640.0330.7010.5910.706
ASClass20.6690.0310.6940.6030.708
ASClass30.7072.278 × 10−160.7070.7070.707
F-ASClass0.52300.5230.5230.523

Art6ASClass10.1780.0310.1550.0920.207
ASClass20.1750.0250.2070.1140.207
ASClass30.1798.542 × 10−170.1790.1790.179
F-ASClass00000

IrisASClass10.3350.0500.2930.2730.420
ASClass20.3450.0600.3130.2400.426
ASClass30.30600.3060.3060.306
F-ASClass0.1064.271 × 10−17000.004

ThyroidASClass10.5040.1110.3500.3500.678
ASClass20.5360.1210.5640.3130.678
ASClass30.5731.139 × 10−160.5730.5730.573
F-ASClass0.1965.695 × 10−170.1960.1960.196

PimaASClass10.5180.0380.5380.4560.582
ASClass20.5370.0340.5010.4800.594
ASClass30.55100.5510.5510.551
F-ASClass0.6501.139 × 10−160.6500.6500.650

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