Research Article
Multistrategy Self-Organizing Map Learning for Classification Problems
Table 6
Kruskal-Willis ranks for the proposed methods.
| | Methods | Number of datasets | Mean rank based on accuracy (Euclidean distance) | Mean rank based on accuracy (the Manhattan distance) | Mean rank based on accuracy (the Chebyshev distance) |
| | SOM | 5 | 3.60 | 4.60 | 6.00 | | ESOM | 5 | 8.40 | 7.60 | 7.00 | | SOMPSO | 5 | 14.20 | 14.40 | 13.80 | | ESOMPSO | 5 | 15.80 | 15.40 | 15.20 |
| | Total | 20 | | | |
| | -value | 0.004 | 0.008 | 0.025 |
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