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=21.553747689541055
MinPts=101
chang_pathbased 1.0 eps=16.60101235199562
MinPts=170
ppi_mips 1.0 eps=0.6
MinPts=1
chang_spiral 1.0 eps=0.0
MinPts=94
astral_40_strsim 1.0 eps=0.0
MinPts=350
astral_40_seqsim_beh 1.0 eps=23.1397940008672
MinPts=35
fraenti_s3 1.0 eps=36008.34461886732
MinPts=3500
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=10
fu_flame 1.0 eps=9.347032357325448
MinPts=128
coli_state 1.0 eps=0.8875931470236079
MinPts=89
coli_find 1.0 eps=0.9090676683577977
MinPts=140
coli_need 1.0 eps=0.9557927513527085
MinPts=21
coli_time 1.0 eps=0.9146176212010232
MinPts=69
gionis_aggregation 1.0 eps=5.175394778286108
MinPts=473
veenman_r15 1.0 eps=5.577306073724123
MinPts=540
zahn_compound 1.0 eps=14.712634026577295
MinPts=14
synthetic_spirals 1.0 eps=1.8768
MinPts=241
synthetic_cassini 1.0 eps=3.9162061243746904
MinPts=125
twonorm_100d 1.0 eps=3.6420106154692053
MinPts=1
twonorm_50d 1.0 eps=9.791239421455408
MinPts=93
synthetic_cuboid 1.0 eps=0.5223964153830202
MinPts=233
astral1_161 1.0 eps=150.91134684572788
MinPts=507
tcga 1.0 eps=0.4693442220187629
MinPts=185
bone_marrow 1.0 eps=0.0
MinPts=8
zachary 1.0 eps=2.566666666666667
MinPts=29