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=0.9839418781462299
MinPts=1
coli_find 1.0 eps=1.0000000000000002
MinPts=28
coli_need 1.0 eps=0.9906932108110967
MinPts=35
coli_time 1.0 eps=0.9658470484804094
MinPts=18
gionis_aggregation 1.0 eps=27.17082258600207
MinPts=473
veenman_r15 1.0 eps=1.8591020245747076
MinPts=500
zahn_compound 1.0 eps=9.808422684384862
MinPts=27
synthetic_spirals 1.0 eps=0.8832000000000001
MinPts=175
synthetic_cassini 1.0 eps=2.6108040829164603
MinPts=241
twonorm_100d 1.0 eps=4.856014153958941
MinPts=113
twonorm_50d 1.0 eps=10.77036336360095
MinPts=200
synthetic_cuboid 1.0 eps=0.20895856615320804
MinPts=42
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