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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=134
m=3.5
chang_pathbased 1.0 k=19
m=5.0
ppi_mips 1.0 k=421
m=5.0
chang_spiral 1.0 k=158
m=1.5
astral_40_strsim 1.0 k=140
m=2.25
astral_40_seqsim_beh 1.0 k=213
m=5.0
fraenti_s3 1.0 k=1009
m=2.25
bone_marrow_fixLabels 0.742 k=3
m=3.5
fu_flame 1.0 k=47
m=1.5
coli_state 1.0 k=28
m=2.25
coli_find 1.0 k=251
m=2.25
coli_need 1.0 k=101
m=1.5
coli_time 1.0 k=428
m=1.01
gionis_aggregation 1.0 k=605
m=2.25
veenman_r15 1.0 k=491
m=3.5
zahn_compound 1.0 k=83
m=1.5
synthetic_spirals 1.0 k=204
m=1.01
synthetic_cassini 1.0 k=234
m=2.25
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=60
m=1.01
bone_marrow 1.0 k=19
m=1.5
zachary 1.0 k=23
m=1.01