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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=137
chang_pathbased 1.0 method=complete
k=190
ppi_mips 1.0 method=average
k=1067
chang_spiral 1.0 method=complete
k=66
astral_40_strsim 1.0 method=average
k=981
astral_40_seqsim_beh 1.0 method=complete
k=694
fraenti_s3 1.0 method=single
k=4954
bone_marrow_fixLabels 1.0 method=single
k=5
fu_flame 1.0 method=average
k=178
coli_state 1.0 method=complete
k=172
coli_find 1.0 method=average
k=420
coli_need 1.0 method=single
k=105
coli_time 1.0 method=single
k=511
gionis_aggregation 1.0 method=average
k=466
veenman_r15 1.0 method=average
k=499
zahn_compound 1.0 method=average
k=187
synthetic_spirals 1.0 method=average
k=87
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