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=1.4474474474474475
chang_pathbased 1.0 I=4.280480480480481
ppi_mips 1.0 I=1.67017017017017
chang_spiral 1.0 I=8.2983983983984
astral_40_strsim 1.0 I=1.2692692692692693
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=7.6124124124124135
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=5.777177177177177
coli_state 1.0 I=1.2959959959959961
coli_find 1.0 I=8.717117117117116
coli_need 1.0 I=8.636936936936937
coli_time 1.0 I=9.91981981981982
gionis_aggregation 1.0 I=9.875275275275275
veenman_r15 1.0 I=6.953153153153154
zahn_compound 1.0 I=4.102302302302303
synthetic_spirals 1.0 I=8.236036036036037
synthetic_cassini 1.0 I=5.135735735735736
twonorm_100d 1.0 I=3.674674674674675
twonorm_50d 1.0 I=1.7236236236236238
synthetic_cuboid 1.0 I=6.97987987987988
astral1_161 1.0 I=1.117817817817818
tcga 1.0 I=3.478678678678679
bone_marrow 1.0 I=6.917517517517518
zachary 1.0 I=1.7770770770770772