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=0.9900716145833335
K=121
bone_marrow_fixLabels 0.873 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.47142857142857136
K=12
gionis_aggregation 1.0 alpha=0.00234375
K=10
veenman_r15 1.0 alpha=0.34970238095238093
K=27
zahn_compound 0.935 alpha=0.19593253968253968
K=3
synthetic_spirals 1.0 alpha=0.04045758928571427
K=4
synthetic_cassini 1.0 alpha=0.937469482421875
K=5
twonorm_100d 0.267 alpha=0.4583333333333333
K=3
twonorm_50d 0.917 alpha=0.0
K=2
synthetic_cuboid 1.0 alpha=0.23809523809523808
K=12
bone_marrow 0.85 alpha=0.8571428571428571
K=2