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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 method=single
k=228
chang_pathbased 1.0 method=complete
k=122
ppi_mips 1.0 method=complete
k=1061
chang_spiral 1.0 method=single
k=257
astral_40_strsim 1.0 method=complete
k=884
astral_40_seqsim_beh 1.0 method=single
k=776
fraenti_s3 1.0 method=single
k=4954
bone_marrow_fixLabels 1.0 method=single
k=3
fu_flame 1.0 method=average
k=156
coli_state 1.0 method=average
k=167
coli_find 1.0 method=complete
k=420
coli_need 1.0 method=complete
k=105
coli_time 1.0 method=single
k=511
gionis_aggregation 1.0 method=average
k=87
veenman_r15 1.0 method=average
k=499
zahn_compound 1.0 method=single
k=354
synthetic_spirals 1.0 method=complete
k=249
synthetic_cassini 1.0 method=complete
k=106
twonorm_100d 1.0 method=complete
k=197
twonorm_50d 1.0 method=single
k=188
synthetic_cuboid 1.0 method=single
k=240
astral1_161 1.0 method=single
k=449
tcga 1.0 method=single
k=198
bone_marrow 1.0 method=complete
k=28
zachary 1.0 method=average
k=26