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=118.54561229247581
MinPts=170
chang_pathbased 1.0 eps=21.48366304375904
MinPts=130
ppi_mips 1.0 eps=0.2
MinPts=438
chang_spiral 1.0 eps=2.020516985548226
MinPts=197
astral_40_strsim 1.0 eps=42.212662933333334
MinPts=803
astral_40_seqsim_beh 1.0 eps=42.42295566825654
MinPts=279
fraenti_s3 1.0 eps=252058.41233207125
MinPts=3333
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=28
fu_flame 1.0 eps=12.790675857392719
MinPts=32
coli_state 1.0 eps=0.8956222079504931
MinPts=26
coli_find 1.0 eps=0.9696892227859327
MinPts=378
coli_need 1.0 eps=0.9744063297305156
MinPts=59
coli_time 1.0 eps=0.9018102643811766
MinPts=511
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=525
veenman_r15 1.0 eps=8.365959110586184
MinPts=440
zahn_compound 1.0 eps=6.130264177740539
MinPts=120
synthetic_spirals 1.0 eps=2.8704000000000005
MinPts=191
synthetic_cassini 1.0 eps=1.3054020414582301
MinPts=108
twonorm_100d 1.0 eps=5.463015923203809
MinPts=80
twonorm_50d 1.0 eps=0.9791239421455409
MinPts=73
synthetic_cuboid 1.0 eps=0.5223964153830202
MinPts=100
astral1_161 1.0 eps=34.8256954259372
MinPts=17
tcga 1.0 eps=0.6734425981653925
MinPts=10
bone_marrow 1.0 eps=0.5084799736190779
MinPts=36
zachary 1.0 eps=6.533333333333333
MinPts=18