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=0.06914682539682541
K=7
chang_spiral 1.0 alpha=0.01984126984126984
K=7
fraenti_s3 0.754 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.852 alpha=0.43333333333333335
K=2
fu_flame 1.0 alpha=0.5675223214285714
K=12
gionis_aggregation 1.0 alpha=7.8125E-4
K=10
veenman_r15 0.993 alpha=0.5059523809523809
K=22
zahn_compound 0.898 alpha=0.15562996031746032
K=8
synthetic_spirals 1.0 alpha=0.021683673469387748
K=2
synthetic_cassini 1.0 alpha=0.9384765625
K=6
twonorm_100d 0.705 alpha=0.3958333333333333
K=15
twonorm_50d 0.705 alpha=0.08333333333333333
K=28
synthetic_cuboid 1.0 alpha=0.04880952380952381
K=30
bone_marrow 0.804 alpha=0.8571428571428571
K=2