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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=8
m=1.5
chang_pathbased 1.0 k=242
m=5.0
ppi_mips 1.0 k=724
m=3.5
chang_spiral 1.0 k=108
m=1.01
astral_40_strsim 1.0 k=657
m=5.0
astral_40_seqsim_beh 1.0 k=272
m=5.0
fraenti_s3 1.0 k=3586
m=1.01
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=42
m=1.01
coli_state 1.0 k=77
m=3.5
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=352
m=2.25
zahn_compound 1.0 k=92
m=1.01
synthetic_spirals 1.0 k=189
m=2.25
synthetic_cassini 1.0 k=247
m=5.0
twonorm_100d 1.0 k=112
m=1.5
twonorm_50d 1.0 k=54
m=3.5
synthetic_cuboid 1.0 k=237
m=1.5
astral1_161 1.0 k=74
m=2.25
tcga 1.0 k=240
m=3.5
bone_marrow 1.0 k=4
m=1.01
zachary 1.0 k=7
m=1.01