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)
ColonBrain cancerLung cancerLymphoma

BPSO-ELM93.34 ± 1.99 (9)85.45 ± 2.33 (7)94.80 ± 0.72 (11)83.50 ± 2.72 (8)
K-Means-PSO-ELM93.94 ± 1.17 (5)86.55 ± 2.35 (5)95.67 ± 0.72 (11)83.72 ± 2.33 (6)
K-Means-BPSO-ELM93.50 ± 2.02 (9)87.23 ± 2.34 (8)95.64 ± 0.56 (12)85.14 ± 2.87 (6)
BPSO-GCSI-ELM97.83 ± 1.33 (9)89.89 ± 2.23 (7)96.13 ± 0.42 (12)
K-Means-GCSI-MBPSO-ELM97.61 ± 1.37 (6)88.63 ± 2.16 (3)97.10 ± 0.63 (11)86.97 ± 2.44 (8)
Proposed method99.08 ± 1.23 (13)93.73 ± 2.64 (4)98.67 ± 0.43 (11)93.60 ± 2.33 (7)