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 0.984 dampfact=0.7
preference=80.82655383577895
maxits=2000
convits=275
chang_pathbased 0.577 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
ppi_mips 0.168 dampfact=0.99
preference=0.0
maxits=4250
convits=425
chang_spiral 0.576 dampfact=0.7
preference=7.576938695805847
maxits=2000
convits=275
astral_40_strsim 0.783 dampfact=0.7
preference=0.0
maxits=4250
convits=425
astral_40_seqsim_beh 0.385 dampfact=0.7725
preference=0.0
maxits=5000
convits=200
fraenti_s3 0.447 dampfact=0.7725
preference=0.0
maxits=2000
convits=425
bone_marrow_fixLabels 1.0 dampfact=0.845
preference=0.0
maxits=2000
convits=275
fu_flame 0.732 dampfact=0.7725
preference=0.0
maxits=2750
convits=275
coli_state 0.406 dampfact=0.7
preference=0.8795640860967228
maxits=4250
convits=500
coli_find 0.298 dampfact=0.9175
preference=0.9090676683577977
maxits=2750
convits=200
coli_need 0.622 dampfact=0.7
preference=0.9301990810832238
maxits=2000
convits=500
coli_time 0.316 dampfact=0.9175
preference=0.8719264318015347
maxits=3500
convits=200
gionis_aggregation 0.48 dampfact=0.7725
preference=0.0
maxits=2000
convits=425
veenman_r15 0.993 dampfact=0.7725
preference=6.971632592155154
maxits=2000
convits=200
zahn_compound 0.522 dampfact=0.9175
preference=9.195396266610809
maxits=4250
convits=500
synthetic_spirals 0.706 dampfact=0.7
preference=0.0
maxits=2000
convits=200
synthetic_cassini 0.598 dampfact=0.845
preference=2.9371545932810177
maxits=2750
convits=500
synthetic_cuboid 0.631 dampfact=0.845
preference=0.0
maxits=4250
convits=425
astral1_161 0.256 dampfact=0.845
preference=0.0
maxits=2750
convits=350
tcga 0.359 dampfact=0.845
preference=0.387704871560111
maxits=4250
convits=500
bone_marrow 0.917 dampfact=0.7
preference=0.0
maxits=5000
convits=425
zachary 0.611 dampfact=0.9175
preference=1.75
maxits=3500
convits=275