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 0.738 alpha=0.19117063492063488
K=7
chang_spiral 1.0 alpha=0.0930059523809524
K=6
fraenti_s3 0.754 alpha=0.9900716145833335
K=121
bone_marrow_fixLabels 0.852 alpha=0.4
K=2
fu_flame 1.0 alpha=0.5651785714285713
K=12
gionis_aggregation 1.0 alpha=0.0
K=10
veenman_r15 0.993 alpha=0.5059523809523809
K=22
zahn_compound 0.898 alpha=0.15872959106687515
K=7
synthetic_spirals 1.0 alpha=0.03334263392857141
K=4
synthetic_cassini 1.0 alpha=0.93798828125
K=6
twonorm_100d 0.705 alpha=0.0
K=152
twonorm_50d 0.705 alpha=0.38095238095238093
K=10
synthetic_cuboid 1.0 alpha=0.23809523809523808
K=12
bone_marrow 0.804 alpha=0.7619047619047619
K=2