ClustEval | Which parameter sets lead to the optimal clustering quality?

ClustEval clustering evaluation framework

Navigation:

027

Hints:

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=0.13333333333333333 MinPts=729
chang_spiral	1.0	eps=21.21542834825637 MinPts=260
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=30
fu_flame	0.987	eps=12.790675857392719 MinPts=184
coli_state	0.53	eps=0.8996367384139357 MinPts=7
coli_find	0.221	eps=0.954533834178899 MinPts=182
coli_need	0.55	eps=0.9348524756776756 MinPts=46
coli_time	0.403	eps=0.9743852863603072 MinPts=137
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=1.4352000000000003 MinPts=225
synthetic_cassini	1.0	eps=2.8718844912081063 MinPts=183
twonorm_100d	0.667	eps=10.926031846407618 MinPts=173
twonorm_50d	0.667	eps=5.874743652873245 MinPts=67
synthetic_cuboid	1.0	eps=1.3059910384575502 MinPts=225
astral1_161	0.287	eps=278.6055634074976 MinPts=152
tcga	0.944	eps=0.8979508119266852 MinPts=254
bone_marrow	0.933	eps=0.4881407746743148 MinPts=3
zachary	0.668	eps=5.366666666666666 MinPts=13