Research Article
Towards Enhancement of Performance of K-Means Clustering Using Nature-Inspired Optimization Algorithms
Table 15
Performance of clustering results of image segmentation using different clustering Aalgorithms.
| | Algorithms | Intercluster distance | Intracluster distance | CPU time (s) |
| | Tower Bridge, | | K-means | | | | | C-ACO | | | | | C-Bat | | | | | C-Cuckoo | | | | | C-Firefly | | | |
| | Cambridge University, | | K-means | | | 166.7963*** | | C-ACO | | | 343.1299 | | C-Bat | | | 386.0401 | | C-Cuckoo | | | 380.7575 | | C-Firefly | | | 1477.0564 |
| | Le Mont-Saint-Michel, | | K-means | | | 160.2645*** | | C-ACO | | | 223.5515 | | C-Bat | | | 250.0147 | | C-Cuckoo | | | 250.7541 | | C-Firefly | | | 941.8844 |
| | Château de Chenonceau, | | K-means | | | 148.6572*** | | C-ACO | | | 226.8645 | | C-Bat | | | 251.7009 | | C-Cuckoo | | | 251.8786 | | C-Firefly | | | 982.2208 |
|
|