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 0.988 dampfact=0.99
preference=80.82655383577895
maxits=2750
convits=500
chang_pathbased 1.0 dampfact=0.7
preference=7.323976037645127
maxits=3500
convits=275
ppi_mips 1.0 dampfact=0.7
preference=1.0
maxits=2000
convits=350
chang_spiral 1.0 dampfact=0.9175
preference=7.576938695805847
maxits=5000
convits=200
astral_40_strsim 0.668 dampfact=0.7
preference=0.0
maxits=3500
convits=350
astral_40_seqsim_beh 0.231 dampfact=0.99
preference=0.0
maxits=4250
convits=350
fraenti_s3 0.243 dampfact=0.9175
preference=0.0
maxits=5000
convits=275
bone_marrow_fixLabels 1.0 dampfact=0.9175
preference=0.0
maxits=2000
convits=275
fu_flame 1.0 dampfact=0.9175
preference=3.689618035786361
maxits=2750
convits=500
coli_state 0.409 dampfact=0.7
preference=0.8795640860967228
maxits=3500
convits=200
coli_find 0.684 dampfact=0.7725
preference=0.9090676683577977
maxits=3500
convits=200
coli_need 1.0 dampfact=0.7725
preference=0.9476493108124179
maxits=2750
convits=425
coli_time 0.395 dampfact=0.7
preference=0.8719264318015347
maxits=3500
convits=200
gionis_aggregation 1.0 dampfact=0.99
preference=19.407730418572907
maxits=2750
convits=200
veenman_r15 1.0 dampfact=0.845
preference=0.0
maxits=4250
convits=275
zahn_compound 1.0 dampfact=0.7
preference=9.195396266610809
maxits=5000
convits=200
synthetic_spirals 1.0 dampfact=0.7725
preference=0.0
maxits=4250
convits=350
synthetic_cassini 1.0 dampfact=0.99
preference=1.9581030621873452
maxits=4250
convits=200
synthetic_cuboid 1.0 dampfact=0.9175
preference=0.7835946230745302
maxits=2000
convits=425
astral1_161 0.07 dampfact=0.9175
preference=0.0
maxits=2750
convits=350
tcga 0.133 dampfact=0.7725
preference=0.387704871560111
maxits=2750
convits=500
bone_marrow 1.0 dampfact=0.9175
preference=0.0
maxits=3500
convits=500
zachary 0.374 dampfact=0.845
preference=1.75
maxits=2000
convits=350