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=0.17896825396825394
K=17
chang_spiral 0.187 alpha=0.12053571428571427
K=23
fraenti_s3 0.484 alpha=0.9947916666666666
K=93
bone_marrow_fixLabels 0.292 alpha=0.43333333333333335
K=2
fu_flame 0.334 alpha=0.9523809523809523
K=23
gionis_aggregation 0.526 alpha=0.3333333333333333
K=75
veenman_r15 0.753 alpha=0.38092186337425593
K=28
zahn_compound 0.638 alpha=0.23809523809523808
K=71
synthetic_spirals 0.277 alpha=0.19047619047619047
K=24
synthetic_cassini 0.478 alpha=0.7666666666666667
K=15
twonorm_100d 0.018 alpha=0.3779761904761904
K=4
twonorm_50d 0.03 alpha=0.008928571428571428
K=2
synthetic_cuboid 0.501 alpha=0.01984126984126984
K=5
bone_marrow 0.292 alpha=0.8047619047619048
K=2