Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » HDBSCAN » 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 minPts=43
k=300
chang_spiral 1.0 minPts=9
k=56
fraenti_s3 1.0 minPts=834
k=5000
bone_marrow_fixLabels 1.0 minPts=1
k=23
fu_flame 1.0 minPts=23
k=205
gionis_aggregation 1.0 minPts=150
k=675
veenman_r15 1.0 minPts=58
k=485
zahn_compound 1.0 minPts=11
k=92
synthetic_spirals 1.0 minPts=24
k=250
synthetic_cassini 1.0 minPts=95
k=250
twonorm_100d 1.0 minPts=133
k=200
twonorm_50d 1.0 minPts=133
k=200
synthetic_cuboid 1.0 minPts=14
k=20
bone_marrow 1.0 minPts=2
k=29