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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=227
chang_pathbased 1.0 method=complete
k=86
ppi_mips 1.0 method=complete
k=1061
chang_spiral 1.0 method=average
k=226
astral_40_strsim 1.0 method=average
k=915
astral_40_seqsim_beh 1.0 method=average
k=1009
fraenti_s3 1.0 method=single
k=4954
bone_marrow_fixLabels 1.0 method=single
k=3
fu_flame 1.0 method=average
k=161
coli_state 1.0 method=average
k=161
coli_find 1.0 method=complete
k=418
coli_need 1.0 method=complete
k=104
coli_time 1.0 method=single
k=511
gionis_aggregation 1.0 method=average
k=466
veenman_r15 1.0 method=single
k=578
zahn_compound 1.0 method=complete
k=70
synthetic_spirals 1.0 method=single
k=233
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=269
bone_marrow 1.0 method=average
k=35
zachary 1.0 method=average
k=26