Unsupervised Clustering on six large-scale datasets
0.508NMIDi-COT
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Di-COTAveraging=five random seeds2026.05 | 0.508 | 0.406 | 2.92 | |
| InfoTSAveraging=five random seeds2026.05 | 0.496 | 0.375 | 7.83 | |
| Sup BAveraging=five random seeds2026.05 | 0.493 | 0.376 | 4.33 | |
| TNCAveraging=five random seeds2026.05 | 0.491 | 0.375 | 5.42 | |
| CoSTAveraging=five random seeds2026.05 | 0.486 | 0.379 | 4.58 | |
| SoftAveraging=five random seeds2026.05 | 0.475 | 0.359 | 6.83 | |
| R. InitAveraging=five random seeds2026.05 | 0.47 | 0.367 | 7.08 | |
| TS2VecAveraging=five random seeds2026.05 | 0.466 | 0.338 | 7.58 | |
| TF-CAveraging=five random seeds2026.05 | 0.459 | 0.361 | 7.67 | |
| TS-TCCAveraging=five random seeds2026.05 | 0.458 | 0.346 | 7.83 | |
| SimMTMAveraging=five random seeds2026.05 | 0.448 | 0.359 | 8.25 | |
| CaTTAveraging=five random seeds2026.05 | 0.408 | 0.262 | 7.67 |