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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=2.2136136136136138
chang_pathbased
0.696
I=9.625825825825826
ppi_mips
0.993
I=4.075575575575575
chang_spiral
0.331
I=6.097897897897899
astral_40_strsim
0.991
I=8.832932932932934
astral_40_seqsim_beh
0.991
I=1.5632632632632633
fraenti_s3
0.067
I=4.423023023023023
bone_marrow_fixLabels
0.361
I=1.1623623623623625
fu_flame
0.536
I=7.6124124124124135
coli_state
0.391
I=4.227027027027027
coli_find
0.127
I=8.066766766766767
coli_need
0.387
I=5.385185185185186
coli_time
0.264
I=6.837337337337337
gionis_aggregation
0.217
I=4.806106106106106
veenman_r15
0.065
I=9.59019019019019
zahn_compound
0.247
I=9.732732732732734
synthetic_spirals
0.498
I=9.795095095095094
synthetic_cassini
0.357
I=1.981981981981982
twonorm_100d
0.497
I=6.382982982982983
twonorm_50d
0.497
I=1.8572572572572574
synthetic_cuboid
0.261
I=8.975475475475475
astral1_161
0.852
I=8.734934934934936
tcga
0.554
I=7.576776776776778
bone_marrow
0.777
I=9.964364364364364
zachary
1.0
I=1.6078078078078077