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

ClustEval clustering evaluation framework

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Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:

Dataset	Best quality	Parameter set
brown	0.481	eps=75.4381169133937 MinPts=47
chang_pathbased	0.896	eps=21.48366304375904 MinPts=270
ppi_mips	0.912	eps=0.43333333333333335 MinPts=693
chang_spiral	1.0	eps=16.164135884385807 MinPts=280
astral_40_strsim	0.126	eps=42.212662933333334 MinPts=594
astral_40_seqsim_beh	0.185	eps=111.84233767085814 MinPts=768
fraenti_s3	0.509	eps=576133.5139018771 MinPts=4500
bone_marrow_fixLabels	0.601	eps=0.020339198944763118 MinPts=7
fu_flame	0.979	eps=12.790675857392719 MinPts=184
coli_state	0.625	eps=0.9759128172193446 MinPts=82
coli_find	0.356	eps=0.9605959896217124 MinPts=238
coli_need	0.622	eps=0.9301990810832238 MinPts=42
coli_time	0.513	eps=0.8847337886213812 MinPts=426
gionis_aggregation	0.865	eps=32.34621736428818 MinPts=604
veenman_r15	0.978	eps=9.760285629017215 MinPts=400
zahn_compound	0.945	eps=17.164739697673507 MinPts=292
synthetic_spirals	1.0	eps=1.5456 MinPts=233
synthetic_cassini	1.0	eps=2.741344287062283 MinPts=191
twonorm_100d	0.705	eps=1.8210053077346027 MinPts=120
twonorm_50d	0.705	eps=8.322553508237098 MinPts=113
synthetic_cuboid	1.0	eps=1.3059910384575502 MinPts=225
astral1_161	0.407	eps=255.38843312353944 MinPts=186
tcga	0.937	eps=0.959180324770674 MinPts=273
bone_marrow	0.879	eps=0.5491583715086041 MinPts=5
zachary	0.698	eps=5.133333333333334 MinPts=17