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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=9.93763763763764
ppi_mips
0.888
I=4.2092092092092095
chang_spiral
0.714
I=6.685885885885886
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=6.24934934934935
bone_marrow_fixLabels
0.731
I=1.1445445445445446
fu_flame
0.841
I=9.055655655655656
coli_state
0.698
I=9.74164164164164
coli_find
0.394
I=1.206906906906907
coli_need
0.739
I=1.108908908908909
coli_time
0.597
I=1.1
gionis_aggregation
0.543
I=9.118018018018018
veenman_r15
0.263
I=3.4341341341341343
zahn_compound
0.578
I=1.5187187187187188
synthetic_spirals
0.833
I=7.47877877877878
synthetic_cassini
0.726
I=5.750450450450451
twonorm_100d
0.833
I=5.8306306306306315
twonorm_50d
0.833
I=2.275975975975976
synthetic_cuboid
0.635
I=2.249249249249249
astral1_161
0.651
I=2.32942942942943
tcga
0.806
I=9.456556556556556
bone_marrow
0.875
I=9.955455455455455
zachary
1.0
I=1.50980980980981