Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 eps=0.0
MinPts=1
chang_pathbased 1.0 eps=1.9530602767053673
MinPts=270
ppi_mips 0.997 eps=0.7333333333333333
MinPts=766
chang_spiral 1.0 eps=24.24620382657871
MinPts=249
astral_40_strsim 1.0 eps=5.822436266666667
MinPts=733
astral_40_seqsim_beh 1.0 eps=0.0
MinPts=1
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=6.395337928696359
MinPts=208
coli_state 0.0 eps=0.9317529821214764
MinPts=152
coli_find 0.0 eps=0.9272541346862383
MinPts=364
coli_need 0.0 eps=0.9627728432443861
MinPts=46
coli_time 0.0 eps=0.9914617621201025
MinPts=171
gionis_aggregation 1.0 eps=6.469243472857636
MinPts=683
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=0.0
MinPts=133
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=9.105026538673014
MinPts=27
twonorm_50d 1.0 eps=13.218173218964802
MinPts=1
synthetic_cuboid 1.0 eps=0.3134378492298121
MinPts=17
astral1_161 1.0 eps=69.6513908518744
MinPts=439
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=0.0
MinPts=1