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=53.88436922385264
MinPts=116
chang_pathbased 1.0 eps=29.29590415058051
MinPts=110
ppi_mips 1.0 eps=0.7333333333333333
MinPts=37
chang_spiral 1.0 eps=5.051292463870565
MinPts=83
astral_40_strsim 1.0 eps=7.278045333333334
MinPts=35
astral_40_seqsim_beh 1.0 eps=57.84948500216801
MinPts=698
fraenti_s3 1.0 eps=612141.8585207445
MinPts=3000
bone_marrow_fixLabels 1.0 eps=0.0
MinPts=29
fu_flame 1.0 eps=12.298726785954536
MinPts=88
coli_state 1.0 eps=0.9518256344386893
MinPts=38
coli_find 1.0 eps=0.9939378445571868
MinPts=252
coli_need 1.0 eps=0.9837131189194191
MinPts=91
coli_time 1.0 eps=0.9402323348407163
MinPts=171
gionis_aggregation 1.0 eps=29.758519975145123
MinPts=761
veenman_r15 1.0 eps=9.760285629017215
MinPts=240
zahn_compound 1.0 eps=33.10342655979891
MinPts=27
synthetic_spirals 1.0 eps=2.8704000000000005
MinPts=191
synthetic_cassini 1.0 eps=3.3940453077913983
MinPts=100
twonorm_100d 1.0 eps=6.070017692448676
MinPts=67
twonorm_50d 1.0 eps=10.77036336360095
MinPts=80
synthetic_cuboid 1.0 eps=0.6268756984596242
MinPts=42
astral1_161 1.0 eps=185.73704227166505
MinPts=270
tcga 1.0 eps=0.8367212990826963
MinPts=244
bone_marrow 1.0 eps=0.16271359155810494
MinPts=20
zachary 1.0 eps=0.9333333333333333
MinPts=5