Research Article
A Contribution to the Study of Ensemble of Self-Organizing Maps
Table 2
Best accuracies results.
| | Dataset | Equation | Approach | CVI | Map size | Bagging (%) | Subsets number | Single
SOM accuracy | Proposed algorithm
accuracy |
| | BC Wisconsin | (6) | B | DB | 20 × 20 | 90 | 80 | 0.9634 | 0.9661 | | Chainlink | (8) | B | DB | 10 × 10 | 70 | 80 | 0.6654 | 0.7685 | | Column | (7) | C | DB | 10 × 10 | 70 | 100 | 0.6674 | 0.7219 | | Engytime | (6) | A | CH | 20 × 20 | 70 | 10 | 0.9538 | 0.9587 | | Heart | (6) | B | Dunn | 20 × 20 | 90 | 30 | 0.7879 | 0.8037 | | Ionosphere | (7) | C | DB | 10 × 10 | 90 | 20 | 0.7037 | 0.7211 | | Iris | (6) | B | Dunn | 10 × 10 | 50 | 70 | 0.9200 | 0.9260 | | Lsun | (8) | C | DB | 10 × 10 | 90 | 100 | 0.7500 | 0.9850 | | PimaIndians | (7) | C | CH | 20 × 20 | 50 | 60 | 0.6458 | 0.6939 | | Seeds | (7) | C | DB | 20 × 20 | 70 | 60 | 0.8809 | 0.9243 | | Tetra | (6) | B | Dunn | 20 × 20 | 90 | 90 | 1 | 1 | | TwoDiamonds | (6) | C | Dunn | 10 × 10 | 90 | 50 | 1 | 1 | | Wine | (6) | B | CDbw | 10 × 10 | 90 | 80 | 0.9382 | 0.9635 | | Wingnut | (7) | C | CDbw | 10 × 10 | 50 | 100 | 0.7539 | 0.8983 |
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