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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 I=1.5365365365365364
chang_pathbased 1.0 I=6.837337337337337
ppi_mips 1.0 I=1.67017017017017
chang_spiral 1.0 I=7.558958958958959
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=7.1313313313313325
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=7.826226226226225
coli_state 1.0 I=2.659059059059059
coli_find 1.0 I=1.7414414414414416
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=9.91981981981982
gionis_aggregation 1.0 I=9.875275275275275
veenman_r15 1.0 I=6.953153153153154
zahn_compound 1.0 I=4.102302302302303
synthetic_spirals 1.0 I=8.236036036036037
synthetic_cassini 1.0 I=5.135735735735736
twonorm_100d 1.0 I=2.4986986986986985
twonorm_50d 1.0 I=1.5276276276276277
synthetic_cuboid 1.0 I=5.51881881881882
astral1_161 1.0 I=1.3405405405405406
tcga 1.0 I=4.271571571571572
bone_marrow 1.0 I=3.2381381381381384
zachary 1.0 I=1.5543543543543545