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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=193.98372920586948
MinPts=170
chang_pathbased 1.0 eps=13.671421936937572
MinPts=110
ppi_mips 1.0 eps=0.0
MinPts=146
chang_spiral 1.0 eps=24.24620382657871
MinPts=1
astral_40_strsim 1.0 eps=0.0
MinPts=350
astral_40_seqsim_beh 1.0 eps=84.84591133651308
MinPts=872
fraenti_s3 1.0 eps=648150.2031396119
MinPts=2333
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=25
fu_flame 1.0 eps=9.838981428763628
MinPts=224
coli_state 1.0 eps=0.9518256344386893
MinPts=32
coli_find 1.0 eps=0.9969689222785935
MinPts=126
coli_need 1.0 eps=1.0000000000000002
MinPts=70
coli_time 1.0 eps=0.8804646696814323
MinPts=239
gionis_aggregation 1.0 eps=33.64006605885971
MinPts=210
veenman_r15 1.0 eps=13.943265184310308
MinPts=120
zahn_compound 1.0 eps=1.2260528355481077
MinPts=80
synthetic_spirals 1.0 eps=1.104
MinPts=67
synthetic_cassini 1.0 eps=3.9162061243746904
MinPts=108
twonorm_100d 1.0 eps=6.070017692448676
MinPts=34
twonorm_50d 1.0 eps=13.218173218964802
MinPts=200
synthetic_cuboid 1.0 eps=0.15671892461490605
MinPts=75
astral1_161 1.0 eps=0.0
MinPts=372
tcga 1.0 eps=0.5713934100920778
MinPts=88
bone_marrow 1.0 eps=0.08135679577905247
MinPts=28
zachary 1.0 eps=4.9
MinPts=5