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 0.76 alpha=0.06914682539682541
K=7
chang_spiral 1.0 alpha=0.05617559523809523
K=7
fraenti_s3 0.861 alpha=0.9900716145833335
K=121
bone_marrow_fixLabels 0.918 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.5214285714285714
K=12
gionis_aggregation 1.0 alpha=3.255208333333333E-4
K=6
veenman_r15 0.997 alpha=0.3809447515578497
K=28
zahn_compound 0.888 alpha=0.16338045634920634
K=8
synthetic_spirals 1.0 alpha=0.043367346938775496
K=3
synthetic_cassini 1.0 alpha=0.9388020833333334
K=7
twonorm_100d 0.667 alpha=0.47619047619047616
K=19
twonorm_50d 0.737 alpha=0.008928571428571428
K=2
synthetic_cuboid 1.0 alpha=0.23809523809523808
K=12
bone_marrow 0.894 alpha=0.7771577380952381
K=2