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=0.0
MinPts=1
chang_pathbased 1.0 eps=3.9061205534107346
MinPts=250
ppi_mips 0.997 eps=0.5
MinPts=729
chang_spiral 1.0 eps=16.164135884385807
MinPts=280
astral_40_strsim 1.0 eps=23.28974506666667
MinPts=733
astral_40_seqsim_beh 1.0 eps=80.98927900303521
MinPts=733
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=3
fu_flame 1.0 eps=0.49194907143818145
MinPts=16
coli_state 0.0 eps=0.8996367384139357
MinPts=177
coli_find 0.0 eps=0.9090676683577977
MinPts=140
coli_need 0.0 eps=0.9534660540554826
MinPts=98
coli_time 0.0 eps=0.8975411454412278
MinPts=443
gionis_aggregation 1.0 eps=3.881546083714581
MinPts=630
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=12.260528355481078
MinPts=306
synthetic_spirals 1.0 eps=1.5456
MinPts=233
synthetic_cassini 1.0 eps=0.7832412248749381
MinPts=225
twonorm_100d 1.0 eps=12.74703715414222
MinPts=20
twonorm_50d 1.0 eps=7.832991537164327
MinPts=14
synthetic_cuboid 1.0 eps=0.7313549815362281
MinPts=175
astral1_161 1.0 eps=336.6483891173929
MinPts=439
tcga 1.0 eps=0.6734425981653925
MinPts=273
bone_marrow 1.0 eps=0.020339198944763118
MinPts=2
zachary 1.0 eps=4.2
MinPts=1