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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
0.995
I=2.1957957957957963
chang_pathbased
0.696
I=9.527827827827828
ppi_mips
0.993
I=4.6991991991991995
chang_spiral
0.331
I=8.485485485485485
astral_40_strsim
0.991
I=8.824024024024025
astral_40_seqsim_beh
0.991
I=1.598898898898899
fraenti_s3
0.067
I=3.6924924924924927
bone_marrow_fixLabels
0.361
I=1.1979979979979982
fu_flame
0.536
I=6.427527527527528
coli_state
0.391
I=6.694794794794795
coli_find
0.127
I=8.05785785785786
coli_need
0.387
I=1.108908908908909
coli_time
0.264
I=3.487587587587588
gionis_aggregation
0.217
I=2.418518518518519
veenman_r15
0.065
I=7.576776776776778
zahn_compound
0.247
I=2.8728728728728727
synthetic_spirals
0.498
I=8.984384384384384
synthetic_cassini
0.357
I=9.608008008008008
twonorm_100d
0.497
I=1.883983983983984
twonorm_50d
0.497
I=4.538838838838839
synthetic_cuboid
0.261
I=7.9598598598598596
astral1_161
0.852
I=8.663663663663664
tcga
0.554
I=1.117817817817818
bone_marrow
0.777
I=9.955455455455455
zachary
1.0
I=1.500900900900901