Table 1.
Multivariate detection of outlier samples based on cPCA and various rPCA methods in different datasets.
| Dataset | No | Code | Type | Classic | Grid | Hubert | Locantore | Proj |
|---|---|---|---|---|---|---|---|---|
| Well-watered | 1 | 4 | Landrace | ✓ | ||||
| 2 | 111 | Landrace | ✓ | ✓ | ✓ | |||
| 3 | 170 | Landrace | ✓ | |||||
| 4 | 182 | Landrace | ✓ | |||||
| 5 | 200 | Landrace | ✓ | |||||
| 6 | 238 | Cultivar | ✓ | ✓ | ||||
| 7 | 252 | Cultivar | ✓ | ✓ | ✓ | ✓ | ✓ | |
| 8 | 277 | Cultivar | ✓ | ✓ | ✓ | |||
| Rain-fed | 1 | 17 | Landrace | ✓ | ||||
| 2 | 82 | Landrace | ✓ | ✓ | ✓ | |||
| 3 | 105 | Landrace | ✓ | ✓ | ✓ | ✓ | ||
| 4 | 182 | Landrace | ✓ | ✓ | ||||
| 5 | 210 | Cultivar | ✓ | ✓ | ✓ | |||
| 6 | 215 | Cultivar | ✓ | ✓ | ||||
| 7 | 219 | Cultivar | ✓ | |||||
| 8 | 286 | Cultivar | ✓ | |||||
| SNP | 1 | 5 | Landrace | ✓ | ✓ | |||
| 2 | 19 | Landrace | ✓ | |||||
| 3 | 21 | Landrace | ✓ | |||||
| 4 | 23 | Landrace | ✓ | |||||
| 5 | 24 | Landrace | ✓ | |||||
| 6 | 57 | Landrace | ✓ | |||||
| 7 | 133 | Landrace | ✓ | |||||
| 8 | 145 | Landrace | ✓ | |||||
| 9 | 161 | Landrace | ✓ | |||||
| 10 | 166 | Landrace | ✓ | |||||
| 11 | 213 | Cultivar | ✓ | |||||
| 12 | 219 | Cultivar | ✓ | |||||
| 13 | 262 | Cultivar | ✓ | |||||
| 14 | 270 | Cultivar | ✓ | |||||
| 15 | 276 | Cultivar | ✓ | ✓ | ||||
| 16 | 283 | Cultivar | ✓ |