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=300
k=300
chang_spiral 1.0 minPts=5
k=46
fraenti_s3 1.0 minPts=500
k=5000
bone_marrow_fixLabels 1.0 minPts=15
k=29
fu_flame 1.0 minPts=11
k=73
gionis_aggregation 1.0 minPts=150
k=750
veenman_r15 1.0 minPts=1
k=600
zahn_compound 1.0 minPts=228
k=380
synthetic_spirals 1.0 minPts=8
k=10
synthetic_cassini 1.0 minPts=5
k=79
twonorm_100d 1.0 minPts=124
k=200
twonorm_50d 1.0 minPts=54
k=200
synthetic_cuboid 1.0 minPts=15
k=54
bone_marrow 1.0 minPts=15
k=38