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=0.1040107709750567
K=2
chang_spiral 1.0 alpha=0.04278273809523809
K=7
fraenti_s3 0.982 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.873 alpha=0.4
K=2
fu_flame 1.0 alpha=0.566220238095238
K=10
gionis_aggregation 1.0 alpha=0.003125
K=13
veenman_r15 1.0 alpha=0.3720238095238095
K=21
zahn_compound 0.935 alpha=0.1427862811791383
K=3
synthetic_spirals 1.0 alpha=0.1607142857142857
K=7
synthetic_cassini 1.0 alpha=0.9397321428571429
K=9
twonorm_100d 0.267 alpha=0.4583333333333333
K=3
twonorm_50d 0.917 alpha=0.0
K=2
synthetic_cuboid 1.0 alpha=0.043261054421768703
K=14
bone_marrow 0.85 alpha=0.7619047619047619
K=2