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 0.553 alpha=0.1040107709750567
K=7
chang_spiral 1.0 alpha=0.01984126984126984
K=7
fraenti_s3 0.606 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.74 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.6714285714285714
K=6
gionis_aggregation 1.0 alpha=9.765625E-4
K=6
veenman_r15 0.987 alpha=0.38089134579613093
K=28
zahn_compound 0.807 alpha=0.1624503968253968
K=7
synthetic_spirals 1.0 alpha=0.20238095238095238
K=5
synthetic_cassini 1.0 alpha=0.9390625
K=6
twonorm_100d 0.497 alpha=0.09523809523809523
K=133
twonorm_50d 0.497 alpha=0.03333333333333333
K=59
synthetic_cuboid 1.0 alpha=0.05197704081632653
K=8
bone_marrow 0.672 alpha=0.7657180059523809
K=2