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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=211
m=5.0
chang_pathbased 1.0 k=233
m=3.5
ppi_mips 1.0 k=715
m=2.25
chang_spiral 1.0 k=305
m=1.01
astral_40_strsim 1.0 k=135
m=5.0
astral_40_seqsim_beh 1.0 k=310
m=2.25
fraenti_s3 1.0 k=3586
m=1.01
bone_marrow_fixLabels 0.742 k=4
m=1.5
fu_flame 1.0 k=69
m=1.5
coli_state 1.0 k=55
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=352
m=2.25
zahn_compound 1.0 k=4
m=1.01
synthetic_spirals 1.0 k=197
m=5.0
synthetic_cassini 1.0 k=59
m=5.0
twonorm_100d 1.0 k=112
m=1.5
twonorm_50d 1.0 k=96
m=2.25
synthetic_cuboid 1.0 k=10
m=3.5
astral1_161 1.0 k=165
m=1.5
tcga 1.0 k=51
m=2.25
bone_marrow 1.0 k=12
m=1.01
zachary 1.0 k=2
m=5.0