Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » DensityCut » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
chang_pathbased 0.87 alpha=0.14846230158730161
K=7
chang_spiral 1.0 alpha=0.08035714285714286
K=3
fraenti_s3 0.861 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.918 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.5089285714285714
K=11
gionis_aggregation 1.0 alpha=1.52587890625E-5
K=10
veenman_r15 0.997 alpha=0.38876488095238093
K=26
zahn_compound 0.941 alpha=0.16338045634920634
K=8
synthetic_spirals 1.0 alpha=0.06505102040816325
K=2
synthetic_cassini 1.0 alpha=0.93798828125
K=6
twonorm_100d 0.833 alpha=0.23809523809523808
K=152
twonorm_50d 0.833 alpha=0.01875
K=19
synthetic_cuboid 1.0 alpha=0.23809523809523808
K=12
bone_marrow 0.894 alpha=0.7669890873015873
K=2