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 0.68 eps=312.5293414983453
MinPts=224
chang_pathbased 0.947 eps=21.48366304375904
MinPts=270
ppi_mips 0.89 eps=0.5666666666666667
MinPts=729
chang_spiral 1.0 eps=18.184652869934034
MinPts=270
astral_40_strsim 0.179 eps=42.212662933333334
MinPts=594
astral_40_seqsim_beh 0.261 eps=111.84233767085814
MinPts=768
fraenti_s3 0.63 eps=504116.8246641425
MinPts=3833
bone_marrow_fixLabels 0.537 eps=0.0
MinPts=4
fu_flame 0.987 eps=12.790675857392719
MinPts=184
coli_state 0.53 eps=0.9237239211945912
MinPts=51
coli_find 0.221 eps=0.9090676683577977
MinPts=140
coli_need 0.55 eps=0.9790597243249674
MinPts=32
coli_time 0.403 eps=0.9829235242402048
MinPts=324
gionis_aggregation 0.864 eps=16.820033029429855
MinPts=683
veenman_r15 0.989 eps=9.760285629017215
MinPts=400
zahn_compound 0.886 eps=29.42526805315459
MinPts=332
synthetic_spirals 1.0 eps=1.5456
MinPts=233
synthetic_cassini 1.0 eps=3.0024246953539295
MinPts=208
twonorm_100d 0.667 eps=13.961040692631956
MinPts=140
twonorm_50d 0.667 eps=2.447809855363852
MinPts=113
synthetic_cuboid 1.0 eps=1.3582306799958523
MinPts=183
astral1_161 0.287 eps=11.608565141979065
MinPts=169
tcga 0.944 eps=0.8979508119266852
MinPts=254
bone_marrow 0.933 eps=0.5694975704533672
MinPts=13
zachary 0.668 eps=1.4
MinPts=17