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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
0.923
I=2.2225225225225227
chang_pathbased
0.65
I=9.51001001001001
ppi_mips
0.821
I=3.950850850850851
chang_spiral
0.5
I=8.191491491491492
astral_40_strsim
0.645
I=4.61011011011011
astral_40_seqsim_beh
0.649
I=1.3138138138138138
fraenti_s3
0.125
I=3.7726726726726727
bone_marrow_fixLabels
0.537
I=1.126726726726727
fu_flame
0.689
I=1.1356356356356356
coli_state
0.53
I=2.65015015015015
coli_find
0.221
I=9.207107107107106
coli_need
0.55
I=8.752752752752754
coli_time
0.403
I=9.91981981981982
gionis_aggregation
0.345
I=9.875275275275275
veenman_r15
0.125
I=1.1801801801801801
zahn_compound
0.381
I=9.857457457457457
synthetic_spirals
0.667
I=5.3406406406406415
synthetic_cassini
0.524
I=8.44094094094094
twonorm_100d
0.667
I=3.8973973973973974
twonorm_50d
0.667
I=5.6791791791791795
synthetic_cuboid
0.415
I=6.623523523523523
astral1_161
0.596
I=3.558858858858859
tcga
0.678
I=1.2336336336336338
bone_marrow
0.783
I=9.955455455455455
zachary
1.0
I=1.9552552552552553