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=29
k=285
chang_spiral 1.0 minPts=6
k=65
fraenti_s3 1.0 minPts=953
k=5000
bone_marrow_fixLabels 1.0 minPts=4
k=27
fu_flame 1.0 minPts=69
k=240
gionis_aggregation 1.0 minPts=132
k=368
veenman_r15 1.0 minPts=10
k=93
zahn_compound 1.0 minPts=32
k=181
synthetic_spirals 1.0 minPts=12
k=22
synthetic_cassini 1.0 minPts=36
k=214
twonorm_100d 1.0 minPts=67
k=200
twonorm_50d 1.0 minPts=54
k=200
synthetic_cuboid 1.0 minPts=250
k=214
bone_marrow 1.0 minPts=25
k=38