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=1.9530602767053673
MinPts=270
ppi_mips 0.997 eps=0.0
MinPts=620
chang_spiral 1.0 eps=3.030775478322339
MinPts=312
astral_40_strsim 1.0 eps=16.011699733333334
MinPts=873
astral_40_seqsim_beh 1.0 eps=3.8566323334778674
MinPts=802
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=3
fu_flame 1.0 eps=7.379236071572722
MinPts=192
coli_state 0.0 eps=0.9116803298042634
MinPts=183
coli_find 0.0 eps=0.966658145064526
MinPts=378
coli_need 0.0 eps=0.9976733027027743
MinPts=46
coli_time 0.0 eps=0.9914617621201025
MinPts=205
gionis_aggregation 1.0 eps=6.469243472857636
MinPts=683
veenman_r15 1.0 eps=0.4647755061436769
MinPts=280
zahn_compound 1.0 eps=4.904211342192431
MinPts=359
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