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 0.995 I=2.1512512512512516
chang_pathbased 0.696 I=9.714914914914916
ppi_mips 0.993 I=4.173573573573573
chang_spiral 0.331 I=5.01991991991992
astral_40_strsim 0.991 I=8.824024024024025
astral_40_seqsim_beh 0.991 I=1.5721721721721722
fraenti_s3 0.067 I=3.6212212212212216
bone_marrow_fixLabels 0.361 I=1.1445445445445446
fu_flame 0.536 I=9.634734734734735
coli_state 0.391 I=4.672472472472473
coli_find 0.127 I=8.031131131131131
coli_need 0.387 I=5.251551551551553
coli_time 0.264 I=1.2514514514514514
gionis_aggregation 0.217 I=2.418518518518519
veenman_r15 0.065 I=5.634634634634635
zahn_compound 0.247 I=4.895195195195195
synthetic_spirals 0.498 I=8.752752752752754
synthetic_cassini 0.357 I=5.973173173173174
twonorm_100d 0.497 I=8.913113113113114
twonorm_50d 0.497 I=2.169069069069069
synthetic_cuboid 0.261 I=4.155755755755756
astral1_161 0.852 I=8.61911911911912
tcga 0.554 I=9.233833833833835
bone_marrow 0.777 I=9.946546546546546
zachary 1.0 I=1.50980980980981