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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 k=3
dc=269.4218461192632
chang_pathbased 1.0 k=23
dc=0.9765301383526837
ppi_mips 1.0 k=38
dc=0.9
chang_spiral 1.0 k=8
dc=18.184652869934034
astral_40_strsim 1.0 k=734
dc=29.112181333333336
astral_40_seqsim_beh 1.0 k=942
dc=65.56274966912375
fraenti_s3 0.983 k=24
dc=36008.34461886732
bone_marrow_fixLabels 1.0 k=8
dc=0.1220351936685787
fu_flame 1.0 k=9
dc=0.49194907143818145
coli_state 0.33 k=25
dc=0.9116803298042634
coli_find 0.124 k=25
dc=0.9090676683577977
coli_need 0.452 k=23
dc=0.9953466054055485
coli_time 0.089 k=2
dc=0.9871926431801535
gionis_aggregation 1.0 k=23
dc=2.587697389143054
veenman_r15 1.0 k=25
dc=0.9295510122873538
zahn_compound 0.991 k=3
dc=4.904211342192431
synthetic_spirals 1.0 k=23
dc=0.6624
synthetic_cassini 1.0 k=20
dc=2.8718844912081063
twonorm_100d 0.957 k=3
dc=4.856014153958941
twonorm_50d 0.978 k=24
dc=4.406057739654934
synthetic_cuboid 1.0 k=21
dc=1.5149496046107584
astral1_161 0.934 k=2
dc=197.34560741364413
tcga 0.986 k=3
dc=0.7754917862387074
bone_marrow 1.0 k=23
dc=0.2440703873371574
zachary 1.0 k=17
dc=3.5