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=57
k=285
chang_spiral 1.0 minPts=119
k=312
fraenti_s3 1.0 minPts=834
k=5000
bone_marrow_fixLabels 1.0 minPts=13
k=25
fu_flame 1.0 minPts=35
k=240
gionis_aggregation 1.0 minPts=263
k=788
veenman_r15 1.0 minPts=29
k=514
zahn_compound 1.0 minPts=22
k=112
synthetic_spirals 1.0 minPts=5
k=8
synthetic_cassini 1.0 minPts=5
k=65
twonorm_100d 1.0 minPts=171
k=200
twonorm_50d 1.0 minPts=146
k=200
synthetic_cuboid 1.0 minPts=14
k=20
bone_marrow 1.0 minPts=15
k=27