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=936216.9600905504
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=28
fu_flame 1.0 eps=12.790675857392719
MinPts=32
coli_state 1.0 eps=0.9558401649021318
MinPts=26
coli_find 1.0 eps=1.0000000000000002
MinPts=294
coli_need 1.0 eps=0.9348524756776756
MinPts=73
coli_time 1.0 eps=0.9530396916605628
MinPts=392
gionis_aggregation 1.0 eps=16.820033029429855
MinPts=263
veenman_r15 1.0 eps=9.760285629017215
MinPts=260
zahn_compound 1.0 eps=28.19921521760648
MinPts=345
synthetic_spirals 1.0 eps=1.2144000000000001
MinPts=175
synthetic_cassini 1.0 eps=1.9581030621873452
MinPts=50
twonorm_100d 1.0 eps=18.21005307734603
MinPts=20
twonorm_50d 1.0 eps=6.8538675950187855
MinPts=140
synthetic_cuboid 1.0 eps=1.2537513969192484
MinPts=84
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