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 0.976 I=2.204704704704705
chang_pathbased 0.464 I=9.706006006006005
ppi_mips 0.705 I=4.066666666666667
chang_spiral 0.331 I=9.028928928928929
astral_40_strsim 0.294 I=6.4008008008008
astral_40_seqsim_beh 0.332 I=1.402902902902903
fraenti_s3 0.067 I=4.725925925925926
bone_marrow_fixLabels 0.361 I=1.126726726726727
fu_flame 0.536 I=1.4652652652652653
coli_state 0.391 I=4.913013013013013
coli_find 0.127 I=7.826226226226225
coli_need 0.387 I=2.6234234234234237
coli_time 0.264 I=9.625825825825826
gionis_aggregation 0.217 I=5.3406406406406415
veenman_r15 0.065 I=7.576776776776778
zahn_compound 0.247 I=5.616816816816818
synthetic_spirals 0.498 I=1.3761761761761764
synthetic_cassini 0.357 I=5.6613613613613625
twonorm_100d 0.497 I=8.6992992992993
twonorm_50d 0.497 I=6.953153153153154
synthetic_cuboid 0.261 I=6.801701701701702
astral1_161 0.295 I=3.443043043043043
tcga 0.554 I=5.6613613613613625
bone_marrow 0.62 I=9.955455455455455
zachary 1.0 I=1.9552552552552553