Sparse Principal Component Analysis on riboflavin dataset
47.8FVEPCA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PCA(k1, k2)=(4088, 4088)2026.07 | 47.8 | 10 | 0.045 | |
| nsprcomp::nsprcomp(k1, k2)=(20, 20)2026.07 | 0.9 | 10 | 0.351 | |
| msPCA::mspcaInput type=Σ, (k1, k2)=(20, 20)2026.07 | 0.8 | 10 | 71.986 | |
| msPCA::mspcaInput type=X, (k1, k2)=(20, 20)2026.07 | 0.8 | 10 | 1.603 | |
| mixOmics::spca(k1, k2)=(20, 20)2026.07 | 0.6 | 10 | 0.241 | |
| elasticnet::spcaInput type=X, (k1, k2)=(20, 20)2026.07 | 0.4 | 10 | 5.952 |