Table 3 Performance of PCA and LDA clustering algorithms
Species name | PCA positive identification rate (%) | LDA positive identification rate (%) | Spectra per class | # Training elements | # Test elements |
|---|---|---|---|---|---|
Anopheles albimanus | 91.48 | 97.40 | 119 | 95,000 | 24,000 |
Anopheles apicimacula | 94.54 | 96.30 | 110 | 88,000 | 22,000 |
Anopheles aquasalis | 99.99 | 99.90 | 56 | 44,000 | 12,000 |
Anopheles darlingi | 95.65 | 99.30 | 40 | 32,000 | 8000 |
Anopheles malefactor | 71.81 | 67.88 | 39 | 31,000 | 8000 |
Anopheles nuneztovari | 81.47 | 86.73 | 192 | 153,000 | 39,000 |
Anopheles pseudopunctipennis | 100.00 | 99.99 | 45 | 36,000 | 9000 |
Anopheles punctimacula | 86.55 | 95.16 | 81 | 64,000 | 17,000 |
Anopheles strodei | 88.75 | 93.63 | 48 | 39,000 | 10,000 |
Anopheles triannulatus | 88.48 | 90.73 | 26 | 20,000 | 6000 |
Anopheles neivai | 100.00 | 100.00 | 24 | 19,000 | 5000 |
Chagasia bathana | 100.00 | 100.00 | 45 | 36,000 | 9000 |
Global | 89.83 | 93.33 | 825 | 657,000 | 169,000 |