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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=153
m=2.25
chang_pathbased 1.0 k=242
m=5.0
ppi_mips 1.0 k=724
m=3.5
chang_spiral 1.0 k=305
m=1.01
astral_40_strsim 1.0 k=647
m=1.01
astral_40_seqsim_beh 1.0 k=310
m=2.25
fraenti_s3 1.0 k=1194
m=2.25
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=42
m=1.01
coli_state 1.0 k=44
m=1.01
coli_find 1.0 k=67
m=2.25
coli_need 1.0 k=26
m=1.01
coli_time 1.0 k=16
m=1.5
gionis_aggregation 1.0 k=788
m=3.5
veenman_r15 1.0 k=334
m=1.01
zahn_compound 1.0 k=41
m=5.0
synthetic_spirals 1.0 k=82
m=3.5
synthetic_cassini 1.0 k=109
m=1.01
twonorm_100d 1.0 k=48
m=1.01
twonorm_50d 1.0 k=80
m=5.0
synthetic_cuboid 1.0 k=84
m=1.01
astral1_161 1.0 k=66
m=1.01
tcga 1.0 k=110
m=3.5
bone_marrow 1.0 k=27
m=5.0
zachary 1.0 k=3
m=2.25