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 0.515 alpha=0.008134920634920648
K=28
chang_spiral 0.187 alpha=0.0
K=26
fraenti_s3 0.484 alpha=0.9947916666666666
K=93
bone_marrow_fixLabels 0.292 alpha=0.43333333333333335
K=2
fu_flame 0.334 alpha=1.0
K=12
gionis_aggregation 0.526 alpha=0.7142857142857143
K=38
veenman_r15 0.753 alpha=0.3898809523809524
K=26
zahn_compound 0.638 alpha=0.05952380952380952
K=32
synthetic_spirals 0.277 alpha=0.19047619047619047
K=24
synthetic_cassini 0.478 alpha=0.7666666666666667
K=15
twonorm_100d 0.018 alpha=0.36011904761904756
K=4
twonorm_50d 0.03 alpha=0.03125
K=3
synthetic_cuboid 0.501 alpha=0.1388888888888889
K=5
bone_marrow 0.292 alpha=0.9349206349206349
K=2