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	0.593	eps=312.5293414983453 MinPts=224
chang_pathbased	0.946	eps=21.48366304375904 MinPts=270
ppi_mips	0.914	eps=0.5666666666666667 MinPts=729
chang_spiral	1.0	eps=22.225686841030484 MinPts=260
astral_40_strsim	0.124	eps=42.212662933333334 MinPts=594
astral_40_seqsim_beh	0.188	eps=111.84233767085814 MinPts=768
fraenti_s3	0.694	eps=576133.5139018771 MinPts=4500
bone_marrow_fixLabels	0.731	eps=0.0 MinPts=23
fu_flame	0.985	eps=12.790675857392719 MinPts=184
coli_state	0.698	eps=0.9799273476827873 MinPts=95
coli_find	0.394	eps=0.9424095232932719 MinPts=42
coli_need	0.739	eps=0.9301990810832238 MinPts=14
coli_time	0.597	eps=0.918886740140972 MinPts=205
gionis_aggregation	0.916	eps=32.34621736428818 MinPts=604
veenman_r15	0.989	eps=9.760285629017215 MinPts=400
zahn_compound	0.904	eps=29.42526805315459 MinPts=332
synthetic_spirals	1.0	eps=1.2144000000000001 MinPts=200
synthetic_cassini	1.0	eps=2.741344287062283 MinPts=191
twonorm_100d	0.833	eps=3.035008846224338 MinPts=60
twonorm_50d	0.833	eps=2.9373718264366224 MinPts=47
synthetic_cuboid	1.0	eps=1.3059910384575502 MinPts=225
astral1_161	0.501	eps=278.6055634074976 MinPts=34
tcga	0.94	eps=0.8979508119266852 MinPts=254
bone_marrow	0.926	eps=0.5491583715086041 MinPts=5
zachary	0.834	eps=0.9333333333333333 MinPts=31