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=936216.9600905504
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=30
fu_flame 1.0 eps=4.427541642943633
MinPts=88
coli_state 1.0 eps=0.9437965735118041
MinPts=45
coli_find 1.0 eps=0.9878756891143733
MinPts=112
coli_need 1.0 eps=0.9441592648665791
MinPts=59
coli_time 1.0 eps=0.8804646696814323
MinPts=477
gionis_aggregation 1.0 eps=27.17082258600207
MinPts=79
veenman_r15 1.0 eps=10.225061135160892
MinPts=300
zahn_compound 1.0 eps=31.877373724250802
MinPts=345
synthetic_spirals 1.0 eps=0.8832000000000001
MinPts=216
synthetic_cassini 1.0 eps=0.9137814290207611
MinPts=34
twonorm_100d 1.0 eps=0.0
MinPts=113
twonorm_50d 1.0 eps=0.9791239421455409
MinPts=73
synthetic_cuboid 1.0 eps=0.05223964153830201
MinPts=216
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