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=15
k=300
chang_spiral 1.0 minPts=17
k=129
fraenti_s3 1.0 minPts=1429
k=5000
bone_marrow_fixLabels 1.0 minPts=16
k=38
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=16
k=116
synthetic_spirals 1.0 minPts=12
k=238
synthetic_cassini 1.0 minPts=11
k=136
twonorm_100d 1.0 minPts=105
k=200
twonorm_50d 1.0 minPts=54
k=200
synthetic_cuboid 1.0 minPts=6
k=6
bone_marrow 1.0 minPts=15
k=27