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=129
k=1
chang_spiral 1.0 minPts=312
k=1
fraenti_s3 1.0 minPts=667
k=1
bone_marrow_fixLabels 1.0 minPts=27
k=1
fu_flame 1.0 minPts=144
k=1
gionis_aggregation 1.0 minPts=132
k=1
veenman_r15 1.0 minPts=172
k=1
zahn_compound 1.0 minPts=319
k=1
synthetic_spirals 1.0 minPts=23
k=1
synthetic_cassini 1.0 minPts=34
k=1
twonorm_100d 1.0 minPts=1
k=2
twonorm_50d 1.0 minPts=53
k=1
synthetic_cuboid 1.0 minPts=1
k=12
bone_marrow 1.0 minPts=9
k=1