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=230
chang_spiral 1.0 minPts=1
k=72
fraenti_s3 1.0 minPts=2333
k=5000
bone_marrow_fixLabels 1.0 minPts=29
k=36
fu_flame 1.0 minPts=19
k=128
gionis_aggregation 1.0 minPts=132
k=735
veenman_r15 1.0 minPts=10
k=93
zahn_compound 1.0 minPts=33
k=141
synthetic_spirals 1.0 minPts=12
k=22
synthetic_cassini 1.0 minPts=190
k=238
twonorm_100d 1.0 minPts=86
k=200
twonorm_50d 1.0 minPts=200
k=200
synthetic_cuboid 1.0 minPts=2
k=7
bone_marrow 1.0 minPts=25
k=38