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 1.0 eps=53.88436922385264
MinPts=31
chang_pathbased 1.0 eps=29.29590415058051
MinPts=170
ppi_mips 1.0 eps=0.0
MinPts=146
chang_spiral 1.0 eps=4.041033971096452
MinPts=280
astral_40_strsim 1.0 eps=7.278045333333334
MinPts=35
astral_40_seqsim_beh 1.0 eps=84.84591133651308
MinPts=872
fraenti_s3 1.0 eps=72016.68923773464
MinPts=1167
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=29
fu_flame 1.0 eps=1.9677962857527258
MinPts=64
coli_state 1.0 eps=0.9919709390731151
MinPts=152
coli_find 1.0 eps=0.9757513782287462
MinPts=168
coli_need 1.0 eps=0.9837131189194191
MinPts=91
coli_time 1.0 eps=0.9573088106005118
MinPts=35
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=158
veenman_r15 1.0 eps=1.8591020245747076
MinPts=240
zahn_compound 1.0 eps=28.19921521760648
MinPts=14
synthetic_spirals 1.0 eps=1.7664000000000002
MinPts=9
synthetic_cassini 1.0 eps=0.7832412248749381
MinPts=150
twonorm_100d 1.0 eps=6.070017692448676
MinPts=67
twonorm_50d 1.0 eps=10.77036336360095
MinPts=80
synthetic_cuboid 1.0 eps=0.6268756984596242
MinPts=42
astral1_161 1.0 eps=348.256954259372
MinPts=203
tcga 1.0 eps=0.7550819486240444
MinPts=254
bone_marrow 1.0 eps=0.18305279050286807
MinPts=12
zachary 1.0 eps=0.0
MinPts=6