Incremental Constrained Clustering On Wine
Metrics
AUBC-ARI (quality)
AUBC-ARI (similarity)
Results
Performance results of various models on this benchmark
| Paper Title | |||
|---|---|---|---|
| MPCK-Means+NPU | 0.893±0.016 | 0.817±0.002 | Incremental Constrained Clustering by Minimal Weighted Modification |
| MPCK-Means+Random | 0.821±0.005 | 0.845±0.006 | Incremental Constrained Clustering by Minimal Weighted Modification |
| IAC+NPU | 0.481±0.016 | 0.455±0.09 | Incremental Constrained Clustering by Minimal Weighted Modification |
| PCK-Means+NPU | 0.472±0.017 | 0.337±0.011 | Incremental Constrained Clustering by Minimal Weighted Modification |
| COP-KMeans+NPU | 0.469±0.019 | 0.340±0.001 | Incremental Constrained Clustering by Minimal Weighted Modification |
| PCK-Means+Random | 0.371±0.003 | 0.332±0.01 | Incremental Constrained Clustering by Minimal Weighted Modification |
| COP-KMeans+Random | 0.369±0.003 | 0.241±0.008 | Incremental Constrained Clustering by Minimal Weighted Modification |
| IAC+Random | 0.349±0.01 | 0.441±0.012 | Incremental Constrained Clustering by Minimal Weighted Modification |
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