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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=99
m=1.5
chang_pathbased 1.0 k=269
m=3.5
ppi_mips 1.0 k=366
m=1.5
chang_spiral 1.0 k=258
m=1.01
astral_40_strsim 1.0 k=402
m=2.25
astral_40_seqsim_beh 1.0 k=271
m=3.5
fraenti_s3 1.0 k=585
m=3.5
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=41
m=1.01
coli_state 1.0 k=8
m=1.01
coli_find 1.0 k=95
m=3.5
coli_need 1.0 k=3
m=1.5
coli_time 1.0 k=26
m=2.25
gionis_aggregation 1.0 k=716
m=1.5
veenman_r15 1.0 k=491
m=3.5
zahn_compound 1.0 k=83
m=1.5
synthetic_spirals 1.0 k=189
m=5.0
synthetic_cassini 1.0 k=4
m=1.5
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=181
m=1.5
bone_marrow 1.0 k=37
m=1.01
zachary 1.0 k=12
m=1.01