Research Article
A New Chaotic Starling Particle Swarm Optimization Algorithm for Clustering Problems
Table 8
Comparison of performance of CSPSO with other clustering algorithms.
| Datasets | Parameters | Algorithms | PSO | ABC | FER−PSO | GABC | SPSO | CSPSO |
| Data_3_2 | Best | 47.5287 | 47.7630 | 47.5290 | 47.5282 | 47.5733 | 47.5282 | Worst | 59.1935 | 60.1039 | 49.7856 | 59.1895 | 53.1721 | 47.5382 | Mean | 48.4644 | 50.9702 | 47.8771 | 48.2279 | 47.8934 | 47.5300 | S.D. | 3.1956 | 3.1345 | 0.4967 | 2.7975 | 0.8551 | 0.0022 |
| Data_5_2 | Best | 326.4386 | 337.5538 | 326.9987 | 329.7155 | 326.4666 | 326.4432 | Worst | 392.2899 | 411.0786 | 332.6651 | 364.8400 | 327.0877 | 326.9676 | Mean | 329.6249 | 373.6977 | 328.7897 | 343.5928 | 326.7493 | 326.5300 | S.D. | 12.9978 | 20.1046 | 1.1594 | 9.6214 | 0.1536 | 0.0942 |
| Data_10_2 | Best | 1.0793e+03 | 916.4320 | 875.6264 | 1.3134e+03 | 843.2274 | 849.8712 | Worst | 1.4459e+03 | 1.2718e+03 | 1.2068e+03 | 1.1657e+03 | 1.1827e+03 | 1.0141e+03 | Mean | 1.2875e+03 | 1.0608e+03 | 1.0066e+03 | 63.8046 | 941.8921 | 918.2542 | S.D. | 70.4484 | 76.1788 | 67.1964 | 1.3134e+03 | 85.5520 | 50.5344 |
| Data_4_3 | Best | 751.8897 | 1.0937e+03 | 830.5456 | 750.4056 | 749.9506 | 749.6738 | Worst | 1.2866e+03 | 1.6347e+03 | 1.3753e+03 | 1.8485e+03 | 1.2726e+03 | 1.2725e+03 | Mean | 838.8670 | 1.3838e+03 | 1.0312e+03 | 1.1489e+03 | 793.8641 | 784.5028 | S.D. | 181.8515 | 122.3579 | 150.0554 | 271.3938 | 142.5136 | 125.1508 |
| Iris | Best | 100.5216 | 113.1201 | 98.0975 | 96.6829 | 96.6605 | 96.6605 | Worst | 130.6931 | 156.8960 | 102.9780 | 127.6869 | 98.6906 | 98.0888 | Mean | 113.7655 | 133.1161 | 100.3761 | 105.0487 | 96.9465 | 96.9194 | S.D. | 7.1771 | 11.0706 | 1.2211 | 11.2307 | 0.3921 | 0.2931 |
| Glass | Best | 329.1487 | 333.7214 | 278.6565 | 288.5152 | 235.3554 | 229.6544 | Worst | 436.5615 | 503.1607 | 326.5351 | 402.5881 | 309.0997 | 278.9187 | Mean | 376.4035 | 422.3809 | 297.3875 | 346.4078 | 280.5624 | 257.0244 | S.D. | 21.5371 | 32.0309 | 11.1730 | 26.9515 | 14.5045 | 10.3633 |
| CMC | Best | 5.8449e+03 | 5.9895e+03 | 5.6153e+03 | 5.6704e+03 | 5.5615e+03 | 5.5404e+03 | Worst | 6.9260e+03 | 7.2137e+03 | 5.9728e+03 | 6.4143e+03 | 5.7676e+03 | 5.5861e+03 | Mean | 6.1772e+03 | 6.4821e+03 | 5.7297e+03 | 5.8864e+03 | 5.6426e+03 | 5.5562e+03 | S.D. | 186.7542 | 243.2599 | 73.0180 | 140.8947 | 44.6957 | 8.7806 |
| Wine | Best | 1.6308e+04 | 1.6399e+04 | 1.6312e+04 | 1.6309e+04 | 1.6305e+04 | 1.6298e+04 | Worst | 1.6798e+04 | 1.7317e+04 | 1.6376e+04 | 1.6482e+04 | 1.6356e+04 | 1.6313e+04 | Mean | 1.6438e+04 | 1.6705e+04 | 1.6336e+04 | 1.6355e+04 | 1.6322e+04 | 1.6304e+04 | S.D. | 95.0097 | 219.7057 | 15.9233 | 35.4218 | 12.0030 | 3.3799 |
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