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=9.839639639639639
ppi_mips 0.705 I=4.316116116116116
chang_spiral 0.331 I=4.2181181181181175
astral_40_strsim 0.294 I=6.4008008008008
astral_40_seqsim_beh 0.332 I=1.402902902902903
fraenti_s3 0.067 I=5.242642642642642
bone_marrow_fixLabels 0.361 I=1.126726726726727
fu_flame 0.536 I=1.1356356356356356
coli_state 0.391 I=7.095695695695696
coli_find 0.127 I=1.821621621621622
coli_need 0.387 I=2.6234234234234237
coli_time 0.264 I=9.91981981981982
gionis_aggregation 0.217 I=9.875275275275275
veenman_r15 0.065 I=1.1801801801801801
zahn_compound 0.247 I=9.857457457457457
synthetic_spirals 0.498 I=5.3406406406406415
synthetic_cassini 0.357 I=9.857457457457457
twonorm_100d 0.497 I=3.558858858858859
twonorm_50d 0.497 I=9.144744744744745
synthetic_cuboid 0.261 I=3.9864864864864864
astral1_161 0.295 I=3.4252252252252253
tcga 0.554 I=1.2336336336336338
bone_marrow 0.62 I=9.955455455455455
zachary 1.0 I=1.8483483483483483