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=4.882650691763418
MinPts=260
ppi_mips 0.997 eps=0.8
MinPts=693
chang_spiral 1.0 eps=5.051292463870565
MinPts=1
astral_40_strsim 1.0 eps=26.2009632
MinPts=768
astral_40_seqsim_beh 1.0 eps=65.56274966912375
MinPts=698
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=3.44364350006727
MinPts=32
coli_state 0.0 eps=0.9116803298042634
MinPts=183
coli_find 0.0 eps=0.9848446113929665
MinPts=1
coli_need 0.0 eps=0.9837131189194191
MinPts=46
coli_time 0.0 eps=0.9146176212010232
MinPts=494
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=630
veenman_r15 1.0 eps=0.9295510122873538
MinPts=120
zahn_compound 1.0 eps=0.0
MinPts=133
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=9.105026538673014
MinPts=27
twonorm_50d 1.0 eps=13.218173218964802
MinPts=1
synthetic_cuboid 1.0 eps=0.3134378492298121
MinPts=17
astral1_161 1.0 eps=150.91134684572788
MinPts=456
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=5.6
MinPts=7