Clustering on breast_cancer
0.91FMGMM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GMM2026.06 | 0.91 | — | — | — | — | — | |
| clustering-by-exclusion2026.06 | 0.84 | — | — | — | — | — | |
| LS2026.06 | 0.83 | — | — | — | — | — | |
| GTSA-PCA-WClustering Method=Agglomerative, Dimensionality=2D, Distance Metric=Wasserstein2026.04 | 0.8227 | 0.597 | 0.4886 | — | — | — | |
| C-KM2026.06 | 0.81 | — | — | — | — | — | |
| COP-KM2026.06 | 0.8 | — | — | — | — | — | |
| GTSA-PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.7919 | 0.5893 | 0.4944 | — | — | — | |
| KM2026.06 | 0.79 | — | — | — | — | — | |
| S-KM2026.06 | 0.79 | — | — | — | — | — | |
| DEC2026.06 | 0.79 | — | — | — | — | — | |
| Agg2026.06 | 0.74 | — | — | — | — | — | |
| Kernel PCA (RBF)Feature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.7358 | 0.5027 | 0.4161 | — | — | — | |
| DBSCAN2026.06 | 0.73 | — | — | — | — | — | |
| DipNSub2026.06 | 0.73 | — | — | — | — | — | |
| Regular PCAFeature Space=Two-dimensional, Clustering Algorithm=HDBSCAN2026.04 | 0.7297 | 0.4494 | 0.3518 | — | — | — | |
| DipEnc2026.06 | 0.71 | — | — | — | — | — | |
| GMMruns=averaged over ten2026.06 | 0.71 | — | — | — | — | — | |
| UMAPClustering Method=Agglomerative, Dimensionality=2D2026.04 | 0.6988 | 0.3758 | 0.3405 | — | — | — | |
| LSruns=averaged over ten2026.06 | 0.52 | — | — | — | — | — | |
| C-KMruns=averaged over ten2026.06 | 0.5 | — | — | — | — | — | |
| Oursruns=averaged over ten2026.06 | 0.49 | — | — | — | — | — | |
| COP-KMruns=averaged over ten2026.06 | 0.48 | — | — | — | — | — | |
| KMruns=averaged over ten2026.06 | 0.46 | — | — | — | — | — | |
| S-KMruns=averaged over ten2026.06 | 0.46 | — | — | — | — | — | |
| DECruns=averaged over ten2026.06 | 0.46 | — | — | — | — | — | |
| DipEncruns=averaged over ten2026.06 | 0.41 | — | — | — | — | — | |
| Aggruns=averaged over ten2026.06 | 0.32 | — | — | — | — | — | |
| DBSCANruns=averaged over ten2026.06 | 0 | — | — | — | — | — | |
| DipNSubruns=averaged over ten2026.06 | 0 | — | — | — | — | — | |
| Aggruns=averaged over ten runs2026.06 | — | 0.29 | — | — | — | — | |
| Agginference_mode=averaged over ten runs2026.06 | — | — | — | 0.78 | — | — | |
| Aggaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.32 | — | |
| Agg2026.06 | — | — | — | — | — | 0 | |
| C-KMruns=averaged over ten runs2026.06 | — | 0.54 | — | — | — | — | |
| C-KMinference_mode=averaged over ten runs2026.06 | — | — | — | 0.87 | — | — | |
| C-KMaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.5 | — | |
| C-KM2026.06 | — | — | — | — | — | 0.05 | |
| clustering-by-exclusionaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.49 | — | |
| clustering-by-exclusion2026.06 | — | — | — | — | — | 0.01 | |
| COP-KMruns=averaged over ten runs2026.06 | — | 0.51 | — | — | — | — | |
| COP-KMinference_mode=averaged over ten runs2026.06 | — | — | — | 0.86 | — | — | |
| COP-KMaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.48 | — | |
| COP-KM2026.06 | — | — | — | — | — | 0.12 | |
| DBSCANruns=averaged over ten runs2026.06 | — | 0 | — | — | — | — | |
| DBSCANinference_mode=averaged over ten runs2026.06 | — | — | — | 0.63 | — | — | |
| DBSCANaggregation=averaged over ten runs2026.06 | — | — | — | — | 0 | — | |
| DBSCAN2026.06 | — | — | — | — | — | 0.01 | |
| DECruns=averaged over ten runs2026.06 | — | 0.49 | — | — | — | — | |
| DECinference_mode=averaged over ten runs2026.06 | — | — | — | 0.85 | — | — | |
| DECaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.46 | — | |
| DEC2026.06 | — | — | — | — | — | 0.85 | |
| DipEncruns=averaged over ten runs2026.06 | — | 0.4 | — | — | — | — | |
| DipEncinference_mode=averaged over ten runs2026.06 | — | — | — | 0.82 | — | — | |
| DipEncaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.41 | — | |
| DipEnc2026.06 | — | — | — | — | — | 8.88 | |
| DipNSubruns=averaged over ten runs2026.06 | — | 0 | — | — | — | — | |
| DipNSubinference_mode=averaged over ten runs2026.06 | — | — | — | 0.63 | — | — | |
| DipNSubaggregation=averaged over ten runs2026.06 | — | — | — | — | 0 | — | |
| DipNSub2026.06 | — | — | — | — | — | 0.19 | |
| GMMruns=averaged over ten runs2026.06 | — | 0.81 | — | — | — | — | |
| GMMinference_mode=averaged over ten runs2026.06 | — | — | — | 0.95 | — | — | |
| GMMaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.71 | — | |
| GMM2026.06 | — | — | — | — | — | 0.1 | |
| KMruns=averaged over ten runs2026.06 | — | 0.49 | — | — | — | — | |
| KMinference_mode=averaged over ten runs2026.06 | — | — | — | 0.85 | — | — | |
| KMaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.46 | — | |
| KM2026.06 | — | — | — | — | — | 0.01 | |
| LSruns=averaged over ten runs2026.06 | — | 0.64 | — | — | — | — | |
| LSinference_mode=averaged over ten runs2026.06 | — | — | — | 0.9 | — | — | |
| LSaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.52 | — | |
| LS2026.06 | — | — | — | — | — | 0 | |
| Oursruns=averaged over ten runs2026.06 | — | 0.62 | — | — | — | — | |
| Oursinference_mode=averaged over ten runs2026.06 | — | — | — | 0.9 | — | — | |
| S-KMruns=averaged over ten runs2026.06 | — | 0.49 | — | — | — | — | |
| S-KMinference_mode=averaged over ten runs2026.06 | — | — | — | 0.85 | — | — | |
| S-KMaggregation=averaged over ten runs2026.06 | — | — | — | — | 0.46 | — | |
| S-KM2026.06 | — | — | — | — | — | 0 |