Clustering on Benchmark dataset repository All labels v1.1.0
11Cases with AR < 0.8 CountLumbermark
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Lumbermarkf (min_cluster_factor)=0.25, M (smoothing parameter)=52026.04 | 11 | 41 | 100 | 89 | |
| Lumbermarkf (min_cluster_factor)=0.25, M (smoothing parameter)=12026.04 | 14 | 37 | 100 | 88 | |
| GenieG (Genie parameter)=0.3, M (smoothing parameter)=32026.04 | 16 | 38 | 99 | 87 | |
| GenieG (Genie parameter)=0.3, M (smoothing parameter)=12026.04 | 18 | 35 | 99 | 85 | |
| Gaussian Mixture2026.04 | 28 | 22 | 86 | 67 | |
| Spectral2026.04 | 30 | 24 | 86 | 69 | |
| Birch2026.04 | 36 | 16 | 62 | 58 | |
| Single Linkage2026.04 | 36 | 23 | 47 | 50 | |
| ITM2026.04 | 37 | 18 | 75 | 73 | |
| K-means2026.04 | 38 | 17 | 61 | 58 | |
| Ward Linkage2026.04 | 38 | 13 | 62 | 57 | |
| Average Linkage2026.04 | 39 | 15 | 53 | 54 | |
| Adaptive Density Peaks2026.04 | 41 | 12 | 59 | 56 | |
| Complete Linkage2026.04 | 43 | 10 | 44 | 52 |