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 I=1.7147147147147148
chang_pathbased 1.0 I=6.6591591591591595
ppi_mips 1.0 I=1.794894894894895
chang_spiral 1.0 I=3.7726726726726727
astral_40_strsim 1.0 I=1.2514514514514514
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=5.313913913913915
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=6.382982982982983
coli_state 1.0 I=5.002102102102103
coli_find 1.0 I=6.766066066066067
coli_need 1.0 I=2.0443443443443443
coli_time 1.0 I=6.480980980980981
gionis_aggregation 1.0 I=6.748248248248248
veenman_r15 1.0 I=1.50980980980981
zahn_compound 1.0 I=4.592292292292293
synthetic_spirals 1.0 I=3.2203203203203206
synthetic_cassini 1.0 I=4.761561561561562
twonorm_100d 1.0 I=5.8306306306306315
twonorm_50d 1.0 I=5.296096096096097
synthetic_cuboid 1.0 I=2.1868868868868865
astral1_161 1.0 I=1.5187187187187188
tcga 1.0 I=7.291691691691692
bone_marrow 1.0 I=3.0421421421421426
zachary 1.0 I=1.1890890890890893