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=43
k=300
chang_spiral 1.0 minPts=30
k=297
fraenti_s3 1.0 minPts=4333
k=5000
bone_marrow_fixLabels 1.0 minPts=38
k=32
fu_flame 1.0 minPts=228
k=183
gionis_aggregation 1.0 minPts=63
k=316
veenman_r15 1.0 minPts=29
k=514
zahn_compound 1.0 minPts=247
k=380
synthetic_spirals 1.0 minPts=7
k=28
synthetic_cassini 1.0 minPts=1
k=74
twonorm_100d 1.0 minPts=190
k=200
twonorm_50d 1.0 minPts=146
k=200
synthetic_cuboid 1.0 minPts=14
k=20
bone_marrow 1.0 minPts=18
k=29