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=118.54561229247581
MinPts=170
chang_pathbased 1.0 eps=21.48366304375904
MinPts=130
ppi_mips 1.0 eps=0.2
MinPts=438
chang_spiral 1.0 eps=2.020516985548226
MinPts=197
astral_40_strsim 1.0 eps=42.212662933333334
MinPts=803
astral_40_seqsim_beh 1.0 eps=42.42295566825654
MinPts=279
fraenti_s3 1.0 eps=72016.68923773464
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=28
fu_flame 1.0 eps=8.363134214449085
MinPts=56
coli_state 1.0 eps=0.9317529821214764
MinPts=45
coli_find 1.0 eps=0.9393784455718652
MinPts=182
coli_need 1.0 eps=0.9627728432443861
MinPts=18
coli_time 1.0 eps=0.9402323348407163
MinPts=137
gionis_aggregation 1.0 eps=3.881546083714581
MinPts=446
veenman_r15 1.0 eps=9.760285629017215
MinPts=140
zahn_compound 1.0 eps=24.521056710962156
MinPts=385
synthetic_spirals 1.0 eps=0.552
MinPts=200
synthetic_cassini 1.0 eps=3.1329648994997523
MinPts=241
twonorm_100d 1.0 eps=18.21005307734603
MinPts=93
twonorm_50d 1.0 eps=0.9791239421455409
MinPts=73
synthetic_cuboid 1.0 eps=0.9925531892277383
MinPts=17
astral1_161 1.0 eps=34.8256954259372
MinPts=17
tcga 1.0 eps=0.6734425981653925
MinPts=10
bone_marrow 1.0 eps=0.5084799736190779
MinPts=36
zachary 1.0 eps=6.533333333333333
MinPts=18