Research Article

A New Chaotic Starling Particle Swarm Optimization Algorithm for Clustering Problems

Table 8

Comparison of performance of CSPSO with other clustering algorithms.

DatasetsParametersAlgorithms
PSOABCFER−PSOGABCSPSOCSPSO

Data_3_2Best47.528747.763047.529047.528247.573347.5282
Worst59.193560.103949.785659.189553.172147.5382
Mean48.464450.970247.877148.227947.893447.5300
S.D.3.19563.13450.49672.79750.85510.0022

Data_5_2Best326.4386337.5538326.9987329.7155326.4666326.4432
Worst392.2899411.0786332.6651364.8400327.0877326.9676
Mean329.6249373.6977328.7897343.5928326.7493326.5300
S.D.12.997820.10461.15949.62140.15360.0942

Data_10_2Best1.0793e+03916.4320875.62641.3134e+03843.2274849.8712
Worst1.4459e+031.2718e+031.2068e+031.1657e+031.1827e+031.0141e+03
Mean1.2875e+031.0608e+031.0066e+0363.8046941.8921918.2542
S.D.70.448476.178867.19641.3134e+0385.552050.5344

Data_4_3Best751.88971.0937e+03830.5456750.4056749.9506749.6738
Worst1.2866e+031.6347e+031.3753e+031.8485e+031.2726e+031.2725e+03
Mean838.86701.3838e+031.0312e+031.1489e+03793.8641784.5028
S.D.181.8515122.3579150.0554271.3938142.5136125.1508

IrisBest100.5216113.120198.097596.682996.660596.6605
Worst130.6931156.8960102.9780127.686998.690698.0888
Mean113.7655133.1161100.3761105.048796.946596.9194
S.D.7.177111.07061.221111.23070.39210.2931

GlassBest329.1487333.7214278.6565288.5152235.3554229.6544
Worst436.5615503.1607326.5351402.5881309.0997278.9187
Mean376.4035422.3809297.3875346.4078280.5624257.0244
S.D.21.537132.030911.173026.951514.504510.3633

CMCBest5.8449e+035.9895e+035.6153e+035.6704e+035.5615e+035.5404e+03
Worst6.9260e+037.2137e+035.9728e+036.4143e+035.7676e+035.5861e+03
Mean6.1772e+036.4821e+035.7297e+035.8864e+035.6426e+035.5562e+03
S.D.186.7542243.259973.0180140.894744.69578.7806

WineBest1.6308e+041.6399e+041.6312e+041.6309e+041.6305e+041.6298e+04
Worst1.6798e+041.7317e+041.6376e+041.6482e+041.6356e+041.6313e+04
Mean1.6438e+041.6705e+041.6336e+041.6355e+041.6322e+041.6304e+04
S.D.95.0097219.705715.923335.421812.00303.3799