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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=75
m=3.5
chang_pathbased 1.0 k=260
m=5.0
ppi_mips 1.0 k=701
m=5.0
chang_spiral 1.0 k=261
m=5.0
astral_40_strsim 1.0 k=351
m=1.5
astral_40_seqsim_beh 1.0 k=667
m=5.0
fraenti_s3 1.0 k=557
m=1.5
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=61
m=1.01
coli_state 1.0 k=121
m=3.5
coli_find 1.0 k=11
m=1.5
coli_need 1.0 k=35
m=2.25
coli_time 1.0 k=26
m=2.25
gionis_aggregation 1.0 k=47
m=1.5
veenman_r15 1.0 k=491
m=3.5
zahn_compound 1.0 k=17
m=1.01
synthetic_spirals 1.0 k=124
m=2.25
synthetic_cassini 1.0 k=50
m=1.01
twonorm_100d 1.0 k=32
m=2.25
twonorm_50d 1.0 k=46
m=2.25
synthetic_cuboid 1.0 k=132
m=3.5
astral1_161 1.0 k=109
m=1.5
tcga 1.0 k=60
m=1.01
bone_marrow 1.0 k=19
m=1.5
zachary 1.0 k=7
m=3.5