Research Article
Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms
Table 10
Testing objective function fitness and CPU time consumption on Haberman.
| Objective function value | ā | Best | Worst | Average |
| K-means | 30507.0207 | 31321.2134 | 30912.2141 | C-ACO | 2888.483 | 3051.141 | 2933.164 | C-Firefly | 30507.2735 | 31567.7231 | 30822.3426 | C-Cuckoo | 30507.0207 | 30574.2412 | 30591.1234 | C-Bat | 30507.8928 | 31455.1241 | 30712.8321 |
| CPU time (second) | ā | Best | Worst | Average |
| K-means | 170.0535 | 174.123152 | 172.743 | C-ACO | 825.2858 | 856.3724 | 831.223 | C-Firefly | 1257.6772 | 1289.3124 | 1266.4123 | C-Cuckoo | 25.1611 | 26.2312 | 25.4431 | C-Bat | 14.559 | 14.908 | 14.672 |
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