Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 0.969 dampfact=0.845
preference=80.82655383577895
maxits=4250
convits=200
chang_pathbased 0.333 dampfact=0.7725
preference=14.647952075290254
maxits=3500
convits=500
ppi_mips 0.028 dampfact=0.7
preference=0.25
maxits=5000
convits=200
chang_spiral 0.331 dampfact=0.7
preference=0.0
maxits=2750
convits=275
astral_40_strsim 0.63 dampfact=0.99
preference=0.0
maxits=5000
convits=275
astral_40_seqsim_beh 0.205 dampfact=0.7725
preference=0.0
maxits=5000
convits=350
fraenti_s3 0.231 dampfact=0.9175
preference=0.0
maxits=2750
convits=425
bone_marrow_fixLabels 1.0 dampfact=0.7
preference=0.0
maxits=2000
convits=275
fu_flame 0.536 dampfact=0.7725
preference=7.379236071572722
maxits=5000
convits=500
coli_state 0.255 dampfact=0.845
preference=0.8795640860967228
maxits=2750
convits=425
coli_find 0.122 dampfact=0.7725
preference=0.9090676683577977
maxits=2750
convits=425
coli_need 0.387 dampfact=0.7725
preference=0.9301990810832238
maxits=2750
convits=500
coli_time 0.182 dampfact=0.9175
preference=0.8719264318015347
maxits=2000
convits=500
gionis_aggregation 0.232 dampfact=0.99
preference=0.0
maxits=3500
convits=350
veenman_r15 0.987 dampfact=0.7
preference=6.971632592155154
maxits=4250
convits=200
zahn_compound 0.305 dampfact=0.9175
preference=0.0
maxits=4250
convits=200
synthetic_spirals 0.498 dampfact=0.7
preference=0.0
maxits=3500
convits=275
synthetic_cassini 0.357 dampfact=0.9175
preference=0.0
maxits=3500
convits=200
synthetic_cuboid 0.398 dampfact=0.845
preference=0.0
maxits=4250
convits=425
astral1_161 0.069 dampfact=0.845
preference=0.0
maxits=2750
convits=350
tcga 0.133 dampfact=0.845
preference=0.387704871560111
maxits=4250
convits=500
bone_marrow 0.846 dampfact=0.7725
preference=0.0
maxits=4250
convits=500
zachary 0.374 dampfact=0.9175
preference=1.75
maxits=4250
convits=200