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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=20
m=5.0
chang_pathbased 1.0 k=55
m=1.5
ppi_mips 1.0 k=112
m=5.0
chang_spiral 1.0 k=230
m=5.0
astral_40_strsim 1.0 k=414
m=3.5
astral_40_seqsim_beh 1.0 k=909
m=3.5
fraenti_s3 1.0 k=304
m=2.25
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=124
m=1.5
coli_state 1.0 k=136
m=5.0
coli_find 1.0 k=89
m=1.01
coli_need 1.0 k=80
m=3.5
coli_time 1.0 k=12
m=1.5
gionis_aggregation 1.0 k=788
m=3.5
veenman_r15 1.0 k=533
m=1.5
zahn_compound 1.0 k=92
m=1.01
synthetic_spirals 1.0 k=207
m=3.5
synthetic_cassini 1.0 k=247
m=5.0
twonorm_100d 1.0 k=48
m=1.01
twonorm_50d 1.0 k=5
m=3.5
synthetic_cuboid 1.0 k=24
m=1.01
astral1_161 1.0 k=66
m=1.01
tcga 1.0 k=251
m=1.5
bone_marrow 1.0 k=33
m=2.25
zachary 1.0 k=7
m=1.01