Clustering on WarpPIE10P (30% outliers)
30.19ACCNNSE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NNSENumber of selected features=200, Outlier ratio=30%, Repetitions=1002025.12 | 30.19 | 31.49 | |
| RAEUFSNumber of selected features=200, Outlier ratio=30%, Repetitions=1002025.12 | 28.64 | 30.59 | |
| URAFSNumber of selected features=200, Outlier ratio=30%, Repetitions=1002025.12 | 28.03 | 28.21 | |
| k-means (Baseline)Number of selected features=200, Outlier ratio=30%, Repetitions=1002025.12 | 14.05 | 4.33 |