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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=25
dc=0.9765301383526837
ppi_mips 1.0 k=1095
dc=0.43333333333333335
chang_spiral 1.0 k=8
dc=18.184652869934034
astral_40_strsim 1.0 k=769
dc=33.479008533333335
astral_40_seqsim_beh 1.0 k=977
dc=34.709691001300804
fraenti_s3 0.983 k=24
dc=36008.34461886732
bone_marrow_fixLabels 1.0 k=38
dc=0.040678397889526235
fu_flame 1.0 k=17
dc=5.903388857258178
coli_state 0.33 k=22
dc=1.0000000000000002
coli_find 0.124 k=24
dc=0.9454406010146787
coli_need 0.452 k=23
dc=0.9953466054055485
coli_time 0.089 k=24
dc=0.8804646696814323
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=23
dc=0.6734425981653925
bone_marrow 1.0 k=17
dc=0.2237311883923943
zachary 1.0 k=22
dc=3.5