Clust
Eval
clustering evaluation framework
Welcome
Overview
Clustering Methods
Data Sets
Measures
Submit
Advanced
Help
About us
Location:
Clustering Methods
»
Markov Clustering
»
Best Parameters
Navigation:
General
Best Qualities
Best Parameters
Hints:
Which parameter sets lead to the optimal clustering quality?
Please choose a clustering quality measure:
Davies Bouldin Index (R)
Dunn Index (R)
F1-Score
F2-Score
False Discovery Rate
False Positive Rate
Fowlkes Mallows Index (R)
Jaccard Index (R)
Rand Index
Rand Index (R)
Sensitivity
Silhouette Value (R)
Specificity
V-Measure
Dataset
Best quality
Parameter set
brown
0.948
I=1.7236236236236238
chang_pathbased
0.742
I=9.135835835835836
ppi_mips
0.888
I=5.42082082082082
chang_spiral
0.714
I=7.175875875875876
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=6.026626626626627
bone_marrow_fixLabels
0.731
I=1.1979979979979982
fu_flame
0.841
I=2.400700700700701
coli_state
0.698
I=2.997597597597598
coli_find
0.394
I=4.342842842842843
coli_need
0.739
I=1.108908908908909
coli_time
0.597
I=6.4987987987988
gionis_aggregation
0.543
I=5.1891891891891895
veenman_r15
0.263
I=2.32052052052052
zahn_compound
0.578
I=3.7548548548548553
synthetic_spirals
0.833
I=2.400700700700701
synthetic_cassini
0.726
I=5.607907907907909
twonorm_100d
0.833
I=8.503303303303305
twonorm_50d
0.833
I=7.282782782782783
synthetic_cuboid
0.635
I=1.7770770770770772
astral1_161
0.651
I=2.3561561561561564
tcga
0.806
I=3.719219219219219
bone_marrow
0.875
I=9.955455455455455
zachary
1.0
I=1.8483483483483483