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=864200.2708528157
MinPts=1667
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=28
fu_flame 1.0 eps=4.427541642943633
MinPts=72
coli_state 1.0 eps=0.9959854695365576
MinPts=57
coli_find 1.0 eps=0.9272541346862383
MinPts=210
coli_need 1.0 eps=0.9581194486499344
MinPts=32
coli_time 1.0 eps=0.9103485022610743
MinPts=205
gionis_aggregation 1.0 eps=10.350789556572217
MinPts=132
veenman_r15 1.0 eps=2.3238775307183848
MinPts=500
zahn_compound 1.0 eps=8.582369848836754
MinPts=266
synthetic_spirals 1.0 eps=0.3312
MinPts=208
synthetic_cassini 1.0 eps=1.3054020414582301
MinPts=108
twonorm_100d 1.0 eps=1.2140035384897352
MinPts=47
twonorm_50d 1.0 eps=0.9791239421455409
MinPts=73
synthetic_cuboid 1.0 eps=0.47015677384471816
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