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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=1.67017017017017
chang_pathbased
0.742
I=9.474374374374374
ppi_mips
0.888
I=4.850650650650651
chang_spiral
0.714
I=8.752752752752754
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=9.545645645645646
bone_marrow_fixLabels
0.731
I=1.1979979979979982
fu_flame
0.841
I=1.7770770770770772
coli_state
0.698
I=9.625825825825826
coli_find
0.394
I=1.1712712712712714
coli_need
0.739
I=3.478678678678679
coli_time
0.597
I=7.006606606606607
gionis_aggregation
0.543
I=5.1891891891891895
veenman_r15
0.263
I=3.9063063063063064
zahn_compound
0.578
I=5.456456456456457
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=6.917517517517518
synthetic_cuboid
0.635
I=1.2781781781781782
astral1_161
0.651
I=2.3561561561561564
tcga
0.806
I=3.7637637637637638
bone_marrow
0.875
I=9.955455455455455
zachary
1.0
I=1.8483483483483483