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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=0.0
MinPts=62
chang_pathbased 1.0 eps=12.694891798584885
MinPts=50
ppi_mips 1.0 eps=1.0
MinPts=583
chang_spiral 1.0 eps=0.0
MinPts=94
astral_40_strsim 1.0 eps=0.0
MinPts=350
astral_40_seqsim_beh 1.0 eps=107.98570533738028
MinPts=489
fraenti_s3 1.0 eps=216050.06771320393
MinPts=4500
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=10
fu_flame 1.0 eps=0.9838981428763629
MinPts=136
coli_state 1.0 eps=0.9959854695365576
MinPts=120
coli_find 1.0 eps=0.9605959896217124
MinPts=420
coli_need 1.0 eps=0.9301990810832238
MinPts=14
coli_time 1.0 eps=0.8761955507414836
MinPts=392
gionis_aggregation 1.0 eps=5.175394778286108
MinPts=473
veenman_r15 1.0 eps=2.3238775307183848
MinPts=260
zahn_compound 1.0 eps=14.712634026577295
MinPts=14
synthetic_spirals 1.0 eps=1.8768
MinPts=241
synthetic_cassini 1.0 eps=3.9162061243746904
MinPts=125
twonorm_100d 1.0 eps=3.6420106154692053
MinPts=1
twonorm_50d 1.0 eps=13.707735190037571
MinPts=107
synthetic_cuboid 1.0 eps=1.5671892461490604
MinPts=1
astral1_161 1.0 eps=348.256954259372
MinPts=439
tcga 1.0 eps=0.4693442220187629
MinPts=185
bone_marrow 1.0 eps=0.5694975704533672
MinPts=21
zachary 1.0 eps=2.566666666666667
MinPts=29