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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 0.996 dampfact=0.7
preference=80.82655383577895
maxits=5000
convits=425
chang_pathbased 1.0 dampfact=0.845
preference=29.29590415058051
maxits=2000
convits=275
ppi_mips 0.433 dampfact=0.7
preference=0.75
maxits=5000
convits=350
chang_spiral 1.0 dampfact=0.99
preference=22.73081608741754
maxits=4250
convits=500
astral_40_strsim 1.0 dampfact=0.99
preference=43.668272
maxits=2750
convits=425
astral_40_seqsim_beh 1.0 dampfact=0.99
preference=86.774227503252
maxits=3500
convits=200
fraenti_s3 1.0 dampfact=0.9175
preference=1080250.3385660197
maxits=2000
convits=500
bone_marrow_fixLabels 1.0 dampfact=0.7
preference=0.0
maxits=2000
convits=350
fu_flame 1.0 dampfact=0.99
preference=14.758472143145443
maxits=5000
convits=500
coli_state 1.0 dampfact=0.9175
preference=1.0000000000000002
maxits=4250
convits=275
coli_find 1.0 dampfact=0.7725
preference=1.0000000000000002
maxits=5000
convits=350
coli_need 1.0 dampfact=0.845
preference=1.0000000000000002
maxits=5000
convits=500
coli_time 1.0 dampfact=0.7
preference=1.0000000000000002
maxits=5000
convits=425
gionis_aggregation 1.0 dampfact=0.7
preference=38.815460837145814
maxits=3500
convits=275
veenman_r15 1.0 dampfact=0.845
preference=13.943265184310308
maxits=2750
convits=200
zahn_compound 1.0 dampfact=0.9175
preference=36.781585066443235
maxits=4250
convits=425
synthetic_spirals 1.0 dampfact=0.845
preference=3.3120000000000003
maxits=2750
convits=500
synthetic_cassini 1.0 dampfact=0.7725
preference=0.9790515310936726
maxits=5000
convits=425
synthetic_cuboid 1.0 dampfact=0.7
preference=0.7835946230745302
maxits=5000
convits=275
astral1_161 1.0 dampfact=0.845
preference=87.064238564843
maxits=4250
convits=500
tcga 1.0 dampfact=0.7
preference=0.8469262178900278
maxits=2750
convits=425
bone_marrow 1.0 dampfact=0.9175
preference=0.6101759683428936
maxits=4250
convits=500
zachary 1.0 dampfact=0.9175
preference=5.25
maxits=5000
convits=500