Research Article
Sparse Graph Embedding Based on the Fuzzy Set for Image Classification
Table 4
The standard deviation, best average recognition rates (%), and corresponding feature dimension of various algorithms in the Yale face database.
| | Methods | | | 2 | 3 | 4 | 5 | 6 |
| | PCA | 77.291.20 (38) | 80.201.27 (40) | 83.991.38 (38) | 84.721.24 (40) | 86.210.80 (46) | | LDA | 80.451.48 (16) | 84.551.06 (16) | 87.850.45 (16) | 87.201.64 (14) | 88.540.82 (14) | | MMC | 80.580.71 (12) | 82.840.88 (12) | 85.871.12 (12) | 86.830.37 (12) | 87.790.50 (14) | | LPP | 80.401.80 (24) | 85.790.38 (22) | 88.000.50 (20) | 89.570.70 (18) | 91.051.23 (26) | | LLE | 83.551.38 (14) | 83.580.59 (6) | 85.900.75 (6) | 88.371.63 (8) | 88.971.56 (8) | | SDE | 85.180.70 (48) | 86.480.82 (46) | 87.851.20 (46) | 90.161.45 (48) | 92.471.32 (46) | | FLGE/MMC | 90.450.75 (46) | 91.481.01 (46) | 93.211.24 (44) | 95.341.21 (42) | 96.330.21 (46) | | The proposed method | 91.500.55 (36) | 92.580.17 (36) | 95.530.86 (38) | 97.120.37 (38) | 98.750.35 (36) |
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