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 0.997 I=9.67927927927928
chang_pathbased 0.648 I=9.634734734734735
ppi_mips 0.993 I=4.619019019019019
chang_spiral 0.0 I=4.316116116116116
astral_40_strsim 0.999 I=9.84854854854855
astral_40_seqsim_beh 0.999 I=9.93763763763764
fraenti_s3 0.0 I=9.76836836836837
bone_marrow_fixLabels 0.0 I=1.126726726726727
fu_flame 0.0 I=1.1356356356356356
coli_state 0.0 I=1.2959959959959961
coli_find 0.0 I=5.598998998998999
coli_need 0.0 I=1.108908908908909
coli_time 0.0 I=9.91981981981982
gionis_aggregation 0.0 I=9.875275275275275
veenman_r15 0.0 I=4.405205205205205
zahn_compound 0.0 I=1.8572572572572574
synthetic_spirals 0.5 I=9.367467467467467
synthetic_cassini 0.0 I=8.05785785785786
twonorm_100d 0.0 I=2.32942942942943
twonorm_50d 0.0 I=3.8261261261261263
synthetic_cuboid 0.0 I=7.942042042042043
astral1_161 0.964 I=10.0
tcga 0.0 I=6.365165165165166
bone_marrow 0.659 I=9.973273273273273
zachary 1.0 I=9.03783783783784