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=11.718361660232203
MinPts=260
ppi_mips 0.997 eps=0.1
MinPts=766
chang_spiral 1.0 eps=20.20516985548226
MinPts=239
astral_40_strsim 1.0 eps=5.822436266666667
MinPts=733
astral_40_seqsim_beh 1.0 eps=11.5698970004336
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=6.88728700013454
MinPts=208
coli_state 0.0 eps=0.9478111039752466
MinPts=57
coli_find 0.0 eps=0.954533834178899
MinPts=14
coli_need 0.0 eps=0.9744063297305156
MinPts=11
coli_time 0.0 eps=1.0000000000000002
MinPts=477
gionis_aggregation 1.0 eps=0.0
MinPts=525
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=12.260528355481078
MinPts=306
synthetic_spirals 1.0 eps=0.0
MinPts=42
synthetic_cassini 1.0 eps=2.480263878770637
MinPts=167
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