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=107.98570533738028
MinPts=628
fraenti_s3 1.0 eps=864200.2708528157
MinPts=3167
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=30
fu_flame 1.0 eps=7.871185143010903
MinPts=88
coli_state 1.0 eps=0.9518256344386893
MinPts=133
coli_find 1.0 eps=0.9878756891143733
MinPts=112
coli_need 1.0 eps=0.9883665135138708
MinPts=35
coli_time 1.0 eps=0.9445014537806652
MinPts=273
gionis_aggregation 1.0 eps=21.99542780771596
MinPts=27
veenman_r15 1.0 eps=9.295510122873539
MinPts=180
zahn_compound 1.0 eps=35.555532230895125
MinPts=1
synthetic_spirals 1.0 eps=1.5456
MinPts=150
synthetic_cassini 1.0 eps=1.9581030621873452
MinPts=50
twonorm_100d 1.0 eps=4.856014153958941
MinPts=180
twonorm_50d 1.0 eps=10.77036336360095
MinPts=200
synthetic_cuboid 1.0 eps=0.6791153399979262
MinPts=225
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