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=10.74183152187952
MinPts=230
ppi_mips 0.997 eps=0.23333333333333334
MinPts=656
chang_spiral 1.0 eps=20.20516985548226
MinPts=239
astral_40_strsim 1.0 eps=2.9112181333333336
MinPts=803
astral_40_seqsim_beh 1.0 eps=0.0
MinPts=768
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=0.9838981428763629
MinPts=240
coli_state 0.0 eps=0.8795640860967228
MinPts=7
coli_find 0.0 eps=0.9090676683577977
MinPts=140
coli_need 0.0 eps=0.9534660540554826
MinPts=98
coli_time 0.0 eps=0.8975411454412278
MinPts=443
gionis_aggregation 1.0 eps=3.881546083714581
MinPts=630
veenman_r15 1.0 eps=0.0
MinPts=1
zahn_compound 1.0 eps=12.260528355481078
MinPts=306
synthetic_spirals 1.0 eps=1.5456
MinPts=233
synthetic_cassini 1.0 eps=1.5664824497498762
MinPts=225
twonorm_100d 1.0 eps=13.354038923387089
MinPts=47
twonorm_50d 1.0 eps=2.9373718264366224
MinPts=40
synthetic_cuboid 1.0 eps=1.3582306799958523
MinPts=200
astral1_161 1.0 eps=0.0
MinPts=1
tcga 1.0 eps=0.40811470917477405
MinPts=20
bone_marrow 1.0 eps=0.020339198944763118
MinPts=2
zachary 1.0 eps=6.533333333333333
MinPts=2