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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 0.997 k=5
dc=247.86809842972212
chang_pathbased 0.68 k=20
dc=23.436723320464406
ppi_mips 0.156 k=949
dc=0.9666666666666667
chang_spiral 1.0 k=25
dc=20.20516985548226
astral_40_strsim 0.81 k=141
dc=21.834136
astral_40_seqsim_beh 0.586 k=420
dc=73.27601433607948
fraenti_s3 0.745 k=17
dc=36008.34461886732
bone_marrow_fixLabels 0.948 k=8
dc=0.020339198944763118
fu_flame 1.0 k=24
dc=1.4758472143145445
coli_state 0.629 k=7
dc=0.8875931470236079
coli_find 0.354 k=4
dc=0.9515027564574922
coli_need 0.612 k=3
dc=0.9534660540554826
coli_time 0.512 k=2
dc=0.8975411454412278
gionis_aggregation 1.0 k=8
dc=2.587697389143054
veenman_r15 0.993 k=17
dc=0.9295510122873538
zahn_compound 0.906 k=21
dc=17.164739697673507
synthetic_spirals 1.0 k=25
dc=0.9936000000000001
synthetic_cassini 1.0 k=6
dc=0.522160816583292
twonorm_100d 0.702 k=2
dc=0.0
twonorm_50d 0.732 k=3
dc=12.72861124789203
synthetic_cuboid 1.0 k=5
dc=0.2611982076915101
astral1_161 0.605 k=12
dc=220.56273769760224
tcga 0.924 k=12
dc=0.9387704871560112
bone_marrow 0.868 k=23
dc=0.06101759683428935
zachary 0.939 k=25
dc=0.4666666666666667