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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=236
m=3.5
ppi_mips 1.0 k=542
m=1.01
chang_spiral 1.0 k=274
m=2.25
astral_40_strsim 1.0 k=219
m=2.25
astral_40_seqsim_beh 1.0 k=454
m=2.25
fraenti_s3 1.0 k=1009
m=2.25
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=148
m=1.5
coli_state 1.0 k=7
m=2.25
coli_find 1.0 k=314
m=1.01
coli_need 1.0 k=85
m=5.0
coli_time 1.0 k=2
m=1.01
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=247
m=3.5
synthetic_cassini 1.0 k=247
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=445
m=5.0
tcga 1.0 k=184
m=3.5
bone_marrow 1.0 k=4
m=1.01
zachary 1.0 k=21
m=5.0