Table 4.
Results of agglomerative hierarchical clustering (AHC) based on different variables
| Clustering base | Variable | Cluster no. | Cultivars | Objects | Within‐class variance | Average distance to centroid |
|---|---|---|---|---|---|---|
| Image features | All variables | 1 | SPS, MPN, SPK, PSD, PSA, DA | 6 | 9.69E + 04 | 2.51E + 02 |
| 2 | MS, VJG, ZY, GSY, MMS, KB, MB, SK, TSF, LPK | 10 | 2.64E + 04 | 1.20E + 02 | ||
| 3 | MPG, MDSiR, MDSR, MPS | 4 | 1.08E + 05 | 2.42E + 02 | ||
| PC scores | 1 | SPS, VJG, MPG, MDSR,PSD, MPS, DA | 7 | 3.02E + 04 | 1.31E + 02 | |
| 2 | MPN, SPK, MDSiR, PSA | 4 | 1.50E + 04 | 9.77E + 01 | ||
| 3 | MS, ZY, GSY, MMS, KB, MB, SK, TSF, LPK | 9 | 2.10E + 04 | 1.01E + 02 | ||
| PC indicators | 1 | SPS, MPG, ZY, SK, TSF | 5 | 6.73E + 00 | 2.20E + 00 | |
| 2 | MPN, VJG, SPK, PSD, GSY, PSA, DA, LPK | 8 | 4.85E + 00 | 1.86E + 00 | ||
| 3 | MS, MDSiR, MDSR, MMS, MPS, KB, MB | 7 | 1.50E + 01 | 3.46E + 00 | ||
| Physicochemical traits | All variables | 1 | SPS, MS, MDSR, PSA, MMS | 5 | 1.20E+07 | 3.02E + 03 |
| 2 | MPN, VJG, SPK, MPG, PSD, ZY, GSY, DA,SK, TSF, LPK | 11 | 5.04E + 06 | 1.88E + 03 | ||
| 3 | MDSiR, MPS, KB, MB | 4 | 6.09E + 06 | 1.85E + 03 | ||
| PC scores | 1 | SPS, MS, KB, TSF, LPK | 5 | 2.42E + 06 | 1.31E + 03 | |
| 2 | MPN, SPK, MPG, MDSiR, MDSR, GSY, PSA, MMS, MPS, MB | 10 | 1.52E + 06 | 1.14E + 03 | ||
| 3 | VJG, PSD, ZY, DA, SK | 5 | 1.82E + 06 | 1.16E + 03 | ||
| PC indicators | 1 | SPS, MPN, SPK, MDSR,GSY, PSA | 6 | 3.06E + 06 | 1.19E + 03 | |
| 2 | MS, VJG, PSD, ZY, DA, SK, TSF, LPK | 8 | 1.11E + 06 | 8.18E + 02 | ||
| 3 | MPG, MDSiR, MMS, MPS, KB, MB | 6 | 2.09E + 06 | 9.84E + 02 |