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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 0.975 k=5
dc=258.64497227449266
chang_pathbased 0.735 k=4
dc=4.882650691763418
ppi_mips 0.311 k=949
dc=0.43333333333333335
chang_spiral 1.0 k=3
dc=9.092326434967017
astral_40_strsim 0.852 k=141
dc=21.834136
astral_40_seqsim_beh 0.664 k=420
dc=107.98570533738028
fraenti_s3 0.855 k=23
dc=36008.34461886732
bone_marrow_fixLabels 0.974 k=4
dc=0.1016959947238156
fu_flame 1.0 k=23
dc=1.9677962857527258
coli_state 0.546 k=8
dc=0.9478111039752466
coli_find 0.235 k=20
dc=0.930285212407645
coli_need 0.547 k=25
dc=0.9976733027027743
coli_time 0.404 k=8
dc=0.9060793833211255
gionis_aggregation 1.0 k=8
dc=2.587697389143054
veenman_r15 0.997 k=15
dc=0.4647755061436769
zahn_compound 0.868 k=16
dc=15.938686862125401
synthetic_spirals 1.0 k=3
dc=2.5392
synthetic_cassini 1.0 k=6
dc=0.522160816583292
twonorm_100d 0.666 k=2
dc=0.0
twonorm_50d 0.825 k=24
dc=14.197297161110344
synthetic_cuboid 1.0 k=5
dc=0.2611982076915101
astral1_161 0.726 k=9
dc=301.82269369145575
tcga 0.921 k=9
dc=0.979590162385337
bone_marrow 0.923 k=7
dc=0.040678397889526235
zachary 0.971 k=24
dc=0.9333333333333333