Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 eps=0.0
MinPts=1
chang_pathbased 1.0 eps=8.788771245174154
MinPts=210
ppi_mips 0.997 eps=0.43333333333333335
MinPts=693
chang_spiral 1.0 eps=15.153877391611694
MinPts=291
astral_40_strsim 1.0 eps=42.212662933333334
MinPts=594
astral_40_seqsim_beh 1.0 eps=84.84591133651308
MinPts=698
fraenti_s3 1.0 eps=0.0
MinPts=1
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=35
fu_flame 1.0 eps=8.363134214449085
MinPts=184
coli_state 0.0 eps=0.9759128172193446
MinPts=145
coli_find 0.0 eps=0.9272541346862383
MinPts=98
coli_need 0.0 eps=0.9325257783804497
MinPts=91
coli_time 0.0 eps=0.9274249780208698
MinPts=443
gionis_aggregation 1.0 eps=2.587697389143054
MinPts=630
veenman_r15 1.0 eps=0.4647755061436769
MinPts=280
zahn_compound 1.0 eps=0.0
MinPts=133
synthetic_spirals 1.0 eps=0.552
MinPts=17
synthetic_cassini 1.0 eps=2.3497236746248142
MinPts=167
twonorm_100d 1.0 eps=9.105026538673014
MinPts=27
twonorm_50d 1.0 eps=13.218173218964802
MinPts=1
synthetic_cuboid 1.0 eps=0.3134378492298121
MinPts=17
astral1_161 1.0 eps=69.6513908518744
MinPts=439
tcga 1.0 eps=0.3877048715601111
MinPts=20
bone_marrow 1.0 eps=0.0
MinPts=4
zachary 1.0 eps=0.0
MinPts=1