Clustering on sklearn synthetic variants
57.4AUC of Clustering LossPE-means
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PE-meansN=20000, d=128, k=642026.05 | 57.4 | 20.16 | |
| PE-meansN=20000, d=64, k=642026.05 | 30.7 | 34.37 | |
| PE-meansN=20000, d=128, k=162026.05 | 19.42 | 19.55 | |
| HDPE-meansN=20000, d=128, k=162026.05 | 15.62 | — | |
| PE-meansN=20000, d=128, k=42026.05 | 13.33 | 7.49 | |
| PE-meansN=20000, d=64, k=162026.05 | 11.92 | 0.26 | |
| HDPE-meansN=20000, d=64, k=162026.05 | 11.89 | — | |
| PE-meansN=20000, d=16, k=642026.05 | 11.83 | 69.43 | |
| HDPE-meansN=20000, d=128, k=42026.05 | 10.97 | — | |
| PE-meansN=20000, d=64, k=42026.05 | 9.93 | 1.96 | |
| HDPE-meansN=20000, d=64, k=42026.05 | 9.74 | — | |
| PE-meansN=20000, d=16, k=42026.05 | 9.55 | 31.5 | |
| PE-meansN=20000, d=4, k=42026.05 | 7.78 | 11 | |
| PE-meansN=20000, d=16, k=162026.05 | 6.68 | 58.16 | |
| PE-meansN=20000, d=4, k=162026.05 | 4.45 | 54.59 | |
| PE-meansN=20000, d=4, k=642026.05 | 3.79 | 53.68 |