Non-negative Matrix Factorization on YALE face database (first subject)
0.1309ErrorSVD-NMF
Evaluation Results
| Method | Links | |
|---|---|---|
| SVD-NMFFactorization rank p=45, Number of iterations=100, Algorithm=MM algorithm, Image sample=52014.10 | 0.1309 | |
| NNDSVDFactorization rank p=45, Number of iterations=100, Algorithm=MM algorithm, Image sample=12014.10 | 0.1319 | |
| SVD-NMFFactorization rank p=45, Number of iterations=100, Algorithm=MM algorithm, Image sample=12014.10 | 0.1329 | |
| RandomNMFFactorization rank p=45, Number of iterations=100, Algorithm=MM algorithm, Image sample=52014.10 | 0.1345 | |
| NNDSVDFactorization rank p=45, Number of iterations=100, Algorithm=MM algorithm, Image sample=52014.10 | 0.1349 | |
| RandomNMFFactorization rank p=45, Number of iterations=100, Algorithm=MM algorithm, Image sample=12014.10 | 0.136 | |
| SVD-NMFFactorization rank p=42, Number of iterations=100, Algorithm=MM algorithm, Image sample=42014.10 | 0.1399 | |
| RandomNMFFactorization rank p=47, Number of iterations=100, Algorithm=MM algorithm, Image sample=22014.10 | 0.1419 | |
| RandomNMFFactorization rank p=42, Number of iterations=100, Algorithm=MM algorithm, Image sample=42014.10 | 0.143 | |
| SVD-NMFFactorization rank p=47, Number of iterations=100, Algorithm=MM algorithm, Image sample=22014.10 | 0.144 | |
| NNDSVDFactorization rank p=42, Number of iterations=100, Algorithm=MM algorithm, Image sample=42014.10 | 0.146 | |
| NNDSVDFactorization rank p=47, Number of iterations=100, Algorithm=MM algorithm, Image sample=22014.10 | 0.1466 | |
| SVD-NMFFactorization rank p=46, Number of iterations=100, Algorithm=MM algorithm, Image sample=32014.10 | 0.15 | |
| RandomNMFFactorization rank p=46, Number of iterations=100, Algorithm=MM algorithm, Image sample=32014.10 | 0.1529 | |
| NNDSVDFactorization rank p=46, Number of iterations=100, Algorithm=MM algorithm, Image sample=32014.10 | 0.1617 |