Clustering on 2D Gauss (NMI)
0.92NMIGMM
Evaluation results
| Method | Links | |
|---|---|---|
| GMMaggregation=averaged over ten runs2026.06 | 0.92 | |
| KMaggregation=averaged over ten runs2026.06 | 0.87 | |
| Aggaggregation=averaged over ten runs2026.06 | 0.85 | |
| DECaggregation=averaged over ten runs2026.06 | 0.85 | |
| DipNSubaggregation=averaged over ten runs2026.06 | 0.85 | |
| clustering-by-exclusionaggregation=averaged over ten runs2026.06 | 0.84 | |
| S-KMaggregation=averaged over ten runs2026.06 | 0.83 | |
| C-KMaggregation=averaged over ten runs2026.06 | 0.83 | |
| COP-KMaggregation=averaged over ten runs2026.06 | 0.82 | |
| DipEncaggregation=averaged over ten runs2026.06 | 0.8 | |
| DBSCANaggregation=averaged over ten runs2026.06 | 0.72 | |
| LSaggregation=averaged over ten runs2026.06 | 0.71 |