Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » Markov Clustering » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
brown 1.0 I=1.402902902902903
chang_pathbased 1.0 I=2.1334334334334337
ppi_mips 1.0 I=1.67017017017017
chang_spiral 1.0 I=8.93983983983984
astral_40_strsim 1.0 I=1.3227227227227227
astral_40_seqsim_beh 1.0 I=1.2247247247247248
fraenti_s3 1.0 I=8.102402402402403
bone_marrow_fixLabels 1.0 I=1.1979979979979982
fu_flame 1.0 I=7.826226226226225
coli_state 1.0 I=1.2959959959959961
coli_find 1.0 I=4.886286286286286
coli_need 1.0 I=2.3739739739739742
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=6.757157157157157
synthetic_cassini 1.0 I=3.87957957957958
twonorm_100d 1.0 I=9.492192192192192
twonorm_50d 1.0 I=2.7926926926926927
synthetic_cuboid 1.0 I=3.2203203203203206
astral1_161 1.0 I=1.7592592592592593
tcga 1.0 I=4.770470470470471
bone_marrow 1.0 I=2.0621621621621626
zachary 1.0 I=1.9463463463463464