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=1.3761761761761764
chang_pathbased 1.0 I=3.2114114114114116
ppi_mips 1.0 I=1.411811811811812
chang_spiral 1.0 I=5.456456456456457
astral_40_strsim 1.0 I=1.3227227227227227
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=7.496596596596597
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=5.777177177177177
coli_state 1.0 I=9.652552552552553
coli_find 1.0 I=9.207107107107106
coli_need 1.0 I=1.2959959959959961
coli_time 1.0 I=2.1334334334334337
gionis_aggregation 1.0 I=9.732732732732734
veenman_r15 1.0 I=2.8461461461461464
zahn_compound 1.0 I=2.293793793793794
synthetic_spirals 1.0 I=4.351751751751752
synthetic_cassini 1.0 I=9.35855855855856
twonorm_100d 1.0 I=7.585685685685686
twonorm_50d 1.0 I=6.195895895895896
synthetic_cuboid 1.0 I=4.52992992992993
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=7.095695695695696
bone_marrow 1.0 I=8.77947947947948
zachary 1.0 I=1.58998998998999