Table 4.
The average performance of ten runs for each dataset measured by ARI.
| CO-Average | ONCE-Average | DSCE | ACE | DICLENS | MCLA | Cascaded SOM | |
|---|---|---|---|---|---|---|---|
| Iris | 0.725 | 0.726 | 0.732 | 0.734 | 0.680 | 0.723 | 0.725 |
| Wine | 0.369 | 0.369 | 0.377 | 0.371 | 0.369 | 0.372 | 0.380 |
| Thyroid | 0.559 | 0.584 | 0.609 | 0.613 | 0.582 | 0.563 | 0.592 |
| Mfeatures | 0.315 | 0.316 | 0.316 | 0.314 | 0.290 | 0.308 | 0.316 |
| Glass | 0.509 | 0.526 | 0.528 | 0.535 | 0.392 | 0.534 | 0.536 |
| BCW | 0.849 | 0.847 | 0.849 | 0.849 | 0.842 | 0.849 | 0.848 |
| Soybean | 0.547 | 0.550 | 0.578 | 0.532 | 0.632 | 0.548 | 0.572 |
| Ionosphere | 0.163 | 0.166 | 0.169 | 0.165 | 0.161 | 0.166 | 0.166 |
The bold values mean the best ARI value of the different algorithms for each dataset.