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=86.21499075816422
MinPts=16
chang_pathbased 1.0 eps=23.436723320464406
MinPts=240
ppi_mips 1.0 eps=0.5333333333333333
MinPts=73
chang_spiral 1.0 eps=7.07180944941879
MinPts=83
astral_40_strsim 1.0 eps=7.278045333333334
MinPts=35
astral_40_seqsim_beh 1.0 eps=57.84948500216801
MinPts=698
fraenti_s3 1.0 eps=144033.37847546928
MinPts=3000
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=29
fu_flame 1.0 eps=0.9838981428763629
MinPts=56
coli_state 1.0 eps=0.9518256344386893
MinPts=38
coli_find 1.0 eps=1.0000000000000002
MinPts=84
coli_need 1.0 eps=0.9837131189194191
MinPts=91
coli_time 1.0 eps=0.9871926431801535
MinPts=409
gionis_aggregation 1.0 eps=29.758519975145123
MinPts=761
veenman_r15 1.0 eps=12.0841631597356
MinPts=580
zahn_compound 1.0 eps=28.19921521760648
MinPts=14
synthetic_spirals 1.0 eps=2.9808000000000003
MinPts=25
synthetic_cassini 1.0 eps=1.044321633166584
MinPts=191
twonorm_100d 1.0 eps=6.070017692448676
MinPts=67
twonorm_50d 1.0 eps=10.77036336360095
MinPts=80
synthetic_cuboid 1.0 eps=0.7313549815362281
MinPts=117
astral1_161 1.0 eps=69.6513908518744
MinPts=321
tcga 1.0 eps=0.4897540596334259
MinPts=147
bone_marrow 1.0 eps=0.1423743926133418
MinPts=35
zachary 1.0 eps=0.9333333333333333
MinPts=5