Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » DBSCAN » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 eps=0.0
MinPts=1
chang_pathbased 1.0 eps=13.671421936937572
MinPts=230
ppi_mips 0.997 eps=0.1
MinPts=766
chang_spiral 1.0 eps=7.07180944941879
MinPts=1
astral_40_strsim 1.0 eps=0.0
MinPts=1
astral_40_seqsim_beh 1.0 eps=15.42652933391147
MinPts=698
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=3
fu_flame 1.0 eps=5.411439785819995
MinPts=8
coli_state 0.0 eps=0.9959854695365576
MinPts=139
coli_find 0.0 eps=1.0000000000000002
MinPts=280
coli_need 0.0 eps=0.9627728432443861
MinPts=80
coli_time 0.0 eps=1.0000000000000002
MinPts=477
gionis_aggregation 1.0 eps=5.175394778286108
MinPts=604
veenman_r15 1.0 eps=0.4647755061436769
MinPts=280
zahn_compound 1.0 eps=6.130264177740539
MinPts=332
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=0.130540204145823
MinPts=67
twonorm_100d 1.0 eps=1.8210053077346027
MinPts=54
twonorm_50d 1.0 eps=5.385181681800475
MinPts=67
synthetic_cuboid 1.0 eps=0.0
MinPts=108
astral1_161 1.0 eps=255.38843312353944
MinPts=405
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.020339198944763118
MinPts=35
zachary 1.0 eps=0.0
MinPts=1