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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=204.76060305064001
MinPts=47
chang_pathbased 1.0 eps=25.38978359716977
MinPts=260
ppi_mips 1.0 eps=0.0
MinPts=146
chang_spiral 1.0 eps=2.020516985548226
MinPts=63
astral_40_strsim 1.0 eps=0.0
MinPts=350
astral_40_seqsim_beh 1.0 eps=0.0
MinPts=70
fraenti_s3 1.0 eps=396091.7908075405
MinPts=1167
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=10
fu_flame 1.0 eps=9.347032357325448
MinPts=128
coli_state 1.0 eps=0.9678837562924596
MinPts=127
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=2.8704000000000005
MinPts=67
synthetic_cassini 1.0 eps=2.219183470478991
MinPts=25
twonorm_100d 1.0 eps=0.6070017692448676
MinPts=54
twonorm_50d 1.0 eps=13.218173218964802
MinPts=200
synthetic_cuboid 1.0 eps=1.2537513969192484
MinPts=92
astral1_161 1.0 eps=69.6513908518744
MinPts=186
tcga 1.0 eps=0.9387704871560112
MinPts=195
bone_marrow 1.0 eps=0.1423743926133418
MinPts=14
zachary 1.0 eps=3.033333333333333
MinPts=12