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=0.5238095238095238
K=186
chang_spiral 1.0 alpha=0.9523809523809523
K=134
fraenti_s3 1.0 alpha=0.9166666666666666
K=992
bone_marrow_fixLabels 1.0 alpha=0.1
K=2
fu_flame 1.0 alpha=0.3880952380952381
K=61
gionis_aggregation 1.0 alpha=0.016666666666666666
K=78
veenman_r15 1.0 alpha=0.44345238095238093
K=31
zahn_compound 1.0 alpha=0.07936507936507936
K=71
synthetic_spirals 1.0 alpha=0.5357142857142857
K=74
synthetic_cassini 1.0 alpha=0.8095238095238095
K=107
twonorm_100d 1.0 alpha=0.0
K=76
twonorm_50d 1.0 alpha=0.1
K=51
synthetic_cuboid 1.0 alpha=0.23809523809523808
K=119
bone_marrow 1.0 alpha=0.38095238095238093
K=9