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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=28
fu_flame 1.0 eps=4.427541642943633
MinPts=72
coli_state 1.0 eps=0.9518256344386893
MinPts=45
coli_find 1.0 eps=0.9878756891143733
MinPts=112
coli_need 1.0 eps=0.9581194486499344
MinPts=32
coli_time 1.0 eps=0.9573088106005118
MinPts=273
gionis_aggregation 1.0 eps=37.52161214257429
MinPts=53
veenman_r15 1.0 eps=13.013714172022954
MinPts=500
zahn_compound 1.0 eps=9.808422684384862
MinPts=279
synthetic_spirals 1.0 eps=0.44160000000000005
MinPts=250
synthetic_cassini 1.0 eps=0.261080408291646
MinPts=34
twonorm_100d 1.0 eps=18.21005307734603
MinPts=54
twonorm_50d 1.0 eps=10.77036336360095
MinPts=200
synthetic_cuboid 1.0 eps=0.9403135476894363
MinPts=34
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