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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 0.999 k=5
dc=247.86809842972212
chang_pathbased 0.81 k=16
dc=13.671421936937572
ppi_mips 0.984 k=1095
dc=0.16666666666666666
chang_spiral 1.0 k=3
dc=22.225686841030484
astral_40_strsim 0.996 k=246
dc=21.834136
astral_40_seqsim_beh 0.993 k=420
dc=73.27601433607948
fraenti_s3 0.966 k=17
dc=36008.34461886732
bone_marrow_fixLabels 0.963 k=3
dc=0.08135679577905247
fu_flame 1.0 k=24
dc=1.4758472143145445
coli_state 0.485 k=22
dc=0.9397820430483615
coli_find 0.223 k=25
dc=0.9515027564574922
coli_need 0.478 k=9
dc=0.9604461459471602
coli_time 0.303 k=23
dc=0.9274249780208698
gionis_aggregation 1.0 k=8
dc=2.587697389143054
veenman_r15 0.999 k=17
dc=0.9295510122873538
zahn_compound 0.951 k=21
dc=17.164739697673507
synthetic_spirals 1.0 k=25
dc=2.3184
synthetic_cassini 1.0 k=6
dc=0.522160816583292
twonorm_100d 0.549 k=5
dc=0.0
twonorm_50d 0.716 k=3
dc=12.72861124789203
synthetic_cuboid 1.0 k=4
dc=1.2015117553809462
astral1_161 0.869 k=13
dc=301.82269369145575
tcga 0.911 k=12
dc=0.9387704871560112
bone_marrow 0.905 k=23
dc=0.06101759683428935
zachary 0.941 k=24
dc=0.9333333333333333