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
0.997
I=9.75945945945946
chang_pathbased
0.648
I=10.0
ppi_mips
0.993
I=4.77937937937938
chang_spiral
0.0
I=4.601201201201201
astral_40_strsim
0.999
I=9.964364364364364
astral_40_seqsim_beh
0.999
I=10.0
fraenti_s3
0.0
I=5.8662662662662655
bone_marrow_fixLabels
0.0
I=1.126726726726727
fu_flame
0.0
I=4.886286286286286
coli_state
0.0
I=3.2470470470470474
coli_find
0.0
I=4.173573573573573
coli_need
0.0
I=4.458658658658659
coli_time
0.0
I=1.1
gionis_aggregation
0.0
I=5.313913913913915
veenman_r15
0.0
I=5.135735735735736
zahn_compound
0.0
I=3.7014014014014016
synthetic_spirals
0.5
I=8.396396396396396
synthetic_cassini
0.0
I=4.458658658658659
twonorm_100d
0.0
I=1.9730730730730732
twonorm_50d
0.0
I=6.578978978978979
synthetic_cuboid
0.0
I=3.0332332332332337
astral1_161
0.964
I=9.973273273273273
tcga
0.0
I=8.770570570570571
bone_marrow
0.659
I=9.946546546546546
zachary
1.0
I=1.50980980980981