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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=9.207107107107106
ppi_mips
0.888
I=4.1913913913913925
chang_spiral
0.714
I=2.088888888888889
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=6.98878878878879
bone_marrow_fixLabels
0.731
I=1.1979979979979982
fu_flame
0.841
I=2.365065065065065
coli_state
0.698
I=1.2959959959959961
coli_find
0.394
I=1.206906906906907
coli_need
0.739
I=3.478678678678679
coli_time
0.597
I=9.91981981981982
gionis_aggregation
0.543
I=9.875275275275275
veenman_r15
0.263
I=1.1801801801801801
zahn_compound
0.578
I=9.857457457457457
synthetic_spirals
0.833
I=5.3406406406406415
synthetic_cassini
0.726
I=9.857457457457457
twonorm_100d
0.833
I=7.523323323323324
twonorm_50d
0.833
I=6.614614614614615
synthetic_cuboid
0.635
I=8.556756756756757
astral1_161
0.651
I=2.365065065065065
tcga
0.806
I=1.2247247247247248
bone_marrow
0.875
I=9.955455455455455
zachary
1.0
I=1.8483483483483483