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	0.237	eps=43.10749537908211 MinPts=8
chang_pathbased	0.812	eps=21.48366304375904 MinPts=270
ppi_mips	0.836	eps=0.23333333333333334 MinPts=656
chang_spiral	1.0	eps=12.123101913289355 MinPts=280
astral_40_strsim	0.016	eps=42.212662933333334 MinPts=594
astral_40_seqsim_beh	0.034	eps=111.84233767085814 MinPts=768
fraenti_s3	0.334	eps=504116.8246641425 MinPts=3833
bone_marrow_fixLabels	0.361	eps=0.0 MinPts=23
fu_flame	0.959	eps=12.790675857392719 MinPts=184
coli_state	0.391	eps=0.8835786165601653 MinPts=45
coli_find	0.127	eps=0.9727203005073394 MinPts=28
coli_need	0.387	eps=0.9371791729749014 MinPts=77
coli_time	0.264	eps=0.8932720265012789 MinPts=171
gionis_aggregation	0.755	eps=16.820033029429855 MinPts=683
veenman_r15	0.957	eps=9.760285629017215 MinPts=400
zahn_compound	0.895	eps=17.164739697673507 MinPts=292
synthetic_spirals	1.0	eps=3.0912 MinPts=175
synthetic_cassini	1.0	eps=2.8718844912081063 MinPts=183
twonorm_100d	0.497	eps=10.926031846407618 MinPts=173
twonorm_50d	0.497	eps=5.874743652873245 MinPts=67
synthetic_cuboid	1.0	eps=1.3059910384575502 MinPts=225
astral1_161	0.166	eps=278.6055634074976 MinPts=152
tcga	0.881	eps=0.959180324770674 MinPts=273
bone_marrow	0.782	eps=0.5491583715086041 MinPts=5
zachary	0.487	eps=5.833333333333333 MinPts=10