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=11.112843420515242
MinPts=1
astral_40_strsim 1.0 eps=36.39022666666666
MinPts=664
astral_40_seqsim_beh 1.0 eps=15.42652933391147
MinPts=698
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=2.951694428629089
MinPts=8
coli_state 0.0 eps=0.9518256344386893
MinPts=164
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=0.0
MinPts=525
veenman_r15 1.0 eps=0.9295510122873538
MinPts=500
zahn_compound 1.0 eps=9.808422684384862
MinPts=253
synthetic_spirals 1.0 eps=1.6560000000000001
MinPts=216
synthetic_cassini 1.0 eps=1.044321633166584
MinPts=241
twonorm_100d 1.0 eps=16.389047769611427
MinPts=27
twonorm_50d 1.0 eps=8.812115479309869
MinPts=1
synthetic_cuboid 1.0 eps=0.0
MinPts=108
astral1_161 1.0 eps=313.4312588334348
MinPts=405
tcga 1.0 eps=0.5101638972480889
MinPts=1
bone_marrow 1.0 eps=0.020339198944763118
MinPts=35
zachary 1.0 eps=4.9
MinPts=9