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 0.785 alpha=0.11185515873015875
K=6
chang_spiral 1.0 alpha=0.05950746082124256
K=6
fraenti_s3 0.967 alpha=0.9900716145833335
K=121
bone_marrow_fixLabels 0.885 alpha=0.4
K=2
fu_flame 1.0 alpha=0.566220238095238
K=12
gionis_aggregation 1.0 alpha=9.765625E-4
K=6
veenman_r15 0.999 alpha=0.3720238095238095
K=16
zahn_compound 0.941 alpha=0.13215702947845803
K=12
synthetic_spirals 1.0 alpha=0.0
K=2
synthetic_cassini 1.0 alpha=0.94375
K=6
twonorm_100d 0.501 alpha=0.3083333333333333
K=3
twonorm_50d 0.651 alpha=0.00390625
K=3
synthetic_cuboid 1.0 alpha=0.23809523809523808
K=12
bone_marrow 0.846 alpha=0.8571428571428571
K=2