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 1.0 alpha=0.08657879818594105
K=2
chang_spiral 1.0 alpha=0.08035714285714286
K=9
fraenti_s3 0.982 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.873 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.5651785714285713
K=10
gionis_aggregation 1.0 alpha=0.0
K=10
veenman_r15 1.0 alpha=0.38616071428571425
K=27
zahn_compound 0.935 alpha=0.1427862811791383
K=3
synthetic_spirals 1.0 alpha=0.03571428514883985
K=4
synthetic_cassini 1.0 alpha=0.9625
K=9
twonorm_100d 0.267 alpha=0.4583333333333333
K=3
twonorm_50d 0.917 alpha=0.0
K=2
synthetic_cuboid 1.0 alpha=0.04952566964285714
K=11
bone_marrow 0.85 alpha=0.9023809523809523
K=2