From: Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence
Data sets | Parameters | Projection method | GHI kernel |
---|---|---|---|
Sonar | α=1,β=1 | 82.87 ± 0.99 | 82.87 ± 0.99 |
α=1,β=2 | 81.47 ± 0.99 | 53.42 ± 4.94 | |
α=1,β=3 | 84.02 ± 1.19 | 54.10 ± 4.92 | |
α=2,β=2 | 84.29 ± 1.54 | 84.29 ± 1.54 | |
α=2,β=3 | 84.31 ± 1.56 | 83.06 ± 2.04 | |
α=3,β=3 | 83.62 ± 1.17 | 83.62 ± 1.17 | |
Live | α=1,β=1 | 82.87 ± 0.99 | 82.87 ± 0.99 |
α=1,β=2 | 81.47 ± 0.99 | 53.42 ± 4.94 | |
α=1,β=3 | 84.02 ± 1.19 | 54.10 ± 4.92 | |
α=2,β=2 | 84.29 ± 1.54 | 84.29 ± 1.54 | |
α=2,β=3 | 84.31 ± 1.56 | 83.06 ± 2.04 | |
α=3,β=3 | 83.62 ± 1.17 | 83.62 ± 1.17 | |
Breast | α=1,β=1 | 96.73 ± 0.11 | 96.73 ± 0.11 |
α=1,β=2 | 97.06 ± 0.01 | 90.12 ± 4.78 | |
α=1,β=3 | 97.01 ± 0.01 | 75.61 ± 7.44 | |
α=2,β=2 | 96.71 ± 0.11 | 96.71 ± 0.11 | |
α=2,β=3 | 96.92 ± 0.01 | 96.96 ± 0.01 | |
α=3,β=3 | 96.63 ± 0.10 | 96.63 ± 0.10 | |
NSCLC | α=1,β=1 | 100 ± 0 | 100 ± 0 |
α=1,β=2 | 99.72 ± 0.01 | 64.07 ± 7.42 | |
α=1,β=3 | 61.46 ± 1.57 | 51.47 ± 5.53 | |
α=2,β=2 | 100 ± 0 | 100 ± 0 | |
α=2,β=3 | 99.99 ± 0 | 73.07 ± 8.17 | |
α=3,β=3 | 100 ± 0 | 100 ± 0 |