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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 0.986 k=5
dc=247.86809842972212
chang_pathbased 0.62 k=14
dc=12.694891798584885
ppi_mips 0.803 k=949
dc=0.26666666666666666
chang_spiral 1.0 k=2
dc=16.164135884385807
astral_40_strsim 0.941 k=141
dc=21.834136
astral_40_seqsim_beh 0.875 k=420
dc=50.13622033521228
fraenti_s3 0.796 k=22
dc=36008.34461886732
bone_marrow_fixLabels 0.911 k=4
dc=0.1016959947238156
fu_flame 1.0 k=23
dc=1.9677962857527258
coli_state 0.199 k=22
dc=0.9397820430483615
coli_find 0.116 k=25
dc=0.9515027564574922
coli_need 0.192 k=24
dc=0.9441592648665791
coli_time 0.069 k=25
dc=0.8932720265012789
gionis_aggregation 1.0 k=8
dc=2.587697389143054
veenman_r15 0.994 k=17
dc=0.9295510122873538
zahn_compound 0.873 k=6
dc=3.6781585066443236
synthetic_spirals 1.0 k=25
dc=0.9936000000000001
synthetic_cassini 1.0 k=6
dc=0.522160816583292
twonorm_100d 0.17 k=20
dc=0.0
twonorm_50d 0.473 k=25
dc=10.77036336360095
synthetic_cuboid 1.0 k=4
dc=1.2015117553809462
astral1_161 0.651 k=12
dc=313.4312588334348
tcga 0.777 k=12
dc=0.9387704871560112
bone_marrow 0.776 k=23
dc=0.06101759683428935
zachary 0.837 k=24
dc=0.9333333333333333