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=36008.34461886732
MinPts=3333
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=28
fu_flame 1.0 eps=12.790675857392719
MinPts=32
coli_state 1.0 eps=0.9397820430483615
MinPts=139
coli_find 1.0 eps=0.9605959896217124
MinPts=42
coli_need 1.0 eps=0.9348524756776756
MinPts=42
coli_time 1.0 eps=0.8804646696814323
MinPts=52
gionis_aggregation 1.0 eps=31.05236866971665
MinPts=210
veenman_r15 1.0 eps=13.47848967816663
MinPts=40
zahn_compound 1.0 eps=4.904211342192431
MinPts=93
synthetic_spirals 1.0 eps=0.7728
MinPts=108
synthetic_cassini 1.0 eps=1.9581030621873452
MinPts=250
twonorm_100d 1.0 eps=17.60305130810116
MinPts=166
twonorm_50d 1.0 eps=6.8538675950187855
MinPts=140
synthetic_cuboid 1.0 eps=0.5223964153830202
MinPts=183
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