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 0.76 alpha=0.12825210813492066
K=5
chang_spiral 1.0 alpha=0.04017857142857143
K=9
fraenti_s3 0.861 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.918 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.6464285714285714
K=9
gionis_aggregation 1.0 alpha=0.0
K=10
veenman_r15 0.997 alpha=0.4255952380952381
K=21
zahn_compound 0.888 alpha=0.13215702947845803
K=7
synthetic_spirals 1.0 alpha=0.369047619047619
K=5
synthetic_cassini 1.0 alpha=0.94375
K=6
twonorm_100d 0.667 alpha=0.0
K=10
twonorm_50d 0.737 alpha=0.006696428571428571
K=3
synthetic_cuboid 1.0 alpha=0.05197704081632653
K=8
bone_marrow 0.894 alpha=0.6886904761904762
K=2