Research Article
Improved Ant Colony Clustering Algorithm and Its Performance Study
Table 2
Comparison of computational effect for Iris dataset.
| | Clustering algorithms | Average accuracy (%) | Lowest accuracy (%) | Highest accuracy (%) |
| | LF algorithm [9] | 90.34 |
— | — | | ATTA [9] | 91.57 | — | — | | ACP [9] | 91.41 | — | — | | ACP-F [9] | 94.17 | — | — | | ACK-I [9] | 93.04 | — | — | | ACK [9] | 95.03 | — | — | | LCA [10] | 90 | — | — | | Particle swarm optimization [11] | 89.94 | — | — | | Big Bang-Big Crunch algorithm [11] | 89.95 | — | — | | Gravitational search algorithm [11] | 89.96 | — | — | | Black hole algorithm [11] | 89.98 | — | — | | Improved ant colony clustering algorithm [12] | 91 | 92 | 93 | | Ant colony clustering algorithm in this study | 90.43 | 83.33 | 94 | | Abstraction ant colony clustering algorithm in this study | 96.34 | 92.67 | 98 |
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