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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=1.7236236236236238
chang_pathbased
0.742
I=9.616916916916916
ppi_mips
0.888
I=4.280480480480481
chang_spiral
0.714
I=5.973173173173174
astral_40_strsim
0.675
I=4.494294294294295
astral_40_seqsim_beh
0.613
I=1.3138138138138138
fraenti_s3
0.263
I=3.3361361361361364
bone_marrow_fixLabels
0.731
I=1.126726726726727
fu_flame
0.841
I=1.2959959959959961
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=7.006606606606607
gionis_aggregation
0.543
I=8.200400400400401
veenman_r15
0.263
I=1.1
zahn_compound
0.578
I=3.0955955955955954
synthetic_spirals
0.833
I=3.3450450450450453
synthetic_cassini
0.726
I=5.501001001001001
twonorm_100d
0.833
I=5.251551551551553
twonorm_50d
0.833
I=3.487587587587588
synthetic_cuboid
0.635
I=4.084484484484484
astral1_161
0.651
I=2.32942942942943
tcga
0.806
I=8.815115115115116
bone_marrow
0.875
I=9.946546546546546
zachary
1.0
I=1.8661661661661664