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clustering evaluation framework
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Markov Clustering
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Best Parameters
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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=1.7147147147147148
chang_pathbased
0.742
I=9.367467467467467
ppi_mips
0.888
I=3.8083083083083085
chang_spiral
0.714
I=7.006606606606607
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=6.3206206206206215
bone_marrow_fixLabels
0.731
I=1.126726726726727
fu_flame
0.841
I=9.385285285285285
coli_state
0.698
I=7.193693693693693
coli_find
0.394
I=8.164764764764765
coli_need
0.739
I=7.033333333333334
coli_time
0.597
I=8.913113113113114
gionis_aggregation
0.543
I=3.8973973973973974
veenman_r15
0.263
I=7.906406406406407
zahn_compound
0.578
I=8.27167167167167
synthetic_spirals
0.833
I=2.3828828828828827
synthetic_cassini
0.726
I=2.0354354354354354
twonorm_100d
0.833
I=4.44084084084084
twonorm_50d
0.833
I=9.144744744744745
synthetic_cuboid
0.635
I=4.574474474474474
astral1_161
0.651
I=2.32942942942943
tcga
0.806
I=5.296096096096097
bone_marrow
0.875
I=9.955455455455455
zachary
1.0
I=1.8483483483483483