Research Article
A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering
Table 6
Comparisons between proposed feature dimensionality reduction method and six other methods.
| | Mean accuracy (%) + std (%) (number of genes) | Colon | Brain cancer | Lung cancer | Lymphoma |
| BPSO-ELM | 93.34 ± 1.99 (9) | 85.45 ± 2.33 (7) | 94.80 ± 0.72 (11) | 83.50 ± 2.72 (8) | K-Means-PSO-ELM | 93.94 ± 1.17 (5) | 86.55 ± 2.35 (5) | 95.67 ± 0.72 (11) | 83.72 ± 2.33 (6) | K-Means-BPSO-ELM | 93.50 ± 2.02 (9) | 87.23 ± 2.34 (8) | 95.64 ± 0.56 (12) | 85.14 ± 2.87 (6) | BPSO-GCSI-ELM | 97.83 ± 1.33 (9) | 89.89 ± 2.23 (7) | 96.13 ± 0.42 (12) | — | K-Means-GCSI-MBPSO-ELM | 97.61 ± 1.37 (6) | 88.63 ± 2.16 (3) | 97.10 ± 0.63 (11) | 86.97 ± 2.44 (8) | Proposed method | 99.08 ± 1.23 (13) | 93.73 ± 2.64 (4) | 98.67 ± 0.43 (11) | 93.60 ± 2.33 (7) |
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