Clustering on glass (ARI, FM, VM)
0.31ARILS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LSruns=averaged over ten runs2026.06 | 0.31 | — | — | — | |
| KMruns=averaged over ten runs2026.06 | 0.27 | — | — | — | |
| S-KMruns=averaged over ten runs2026.06 | 0.27 | — | — | — | |
| COP-KMruns=averaged over ten runs2026.06 | 0.27 | — | — | — | |
| Aggruns=averaged over ten runs2026.06 | 0.26 | — | — | — | |
| GMMruns=averaged over ten runs2026.06 | 0.25 | — | — | — | |
| C-KMruns=averaged over ten runs2026.06 | 0.22 | — | — | — | |
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 0.1804 | 0.3905 | 0.3157 | — | |
| Oursruns=averaged over ten runs2026.06 | 0.18 | — | — | — | |
| DipNSubruns=averaged over ten runs2026.06 | 0.17 | — | — | — | |
| DBSCANruns=averaged over ten runs2026.06 | 0.16 | — | — | — | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 0.1357 | 0.335 | 0.2443 | — | |
| DECruns=averaged over ten runs2026.06 | 0.06 | — | — | — | |
| DipEncruns=averaged over ten runs2026.06 | 0.02 | — | — | — | |
| Agg2026.06 | — | — | — | 0.51 | |
| C-KM2026.06 | — | — | — | 0.4 | |
| clustering-by-exclusion2026.06 | — | — | — | 0.4 | |
| COP-KM2026.06 | — | — | — | 0.45 | |
| DBSCAN2026.06 | — | — | — | 0.43 | |
| DEC2026.06 | — | — | — | 0.32 | |
| DipEnc2026.06 | — | — | — | 0.38 | |
| DipNSub2026.06 | — | — | — | 0.54 | |
| GMM2026.06 | — | — | — | 0.48 | |
| KM2026.06 | — | — | — | 0.51 | |
| LS2026.06 | — | — | — | 0.47 | |
| S-KM2026.06 | — | — | — | 0.49 |