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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
0.988
I=2.1868868868868865
chang_pathbased
0.647
I=9.144744744744745
ppi_mips
0.839
I=5.376276276276276
chang_spiral
0.576
I=9.171471471471472
astral_40_strsim
0.466
I=4.85955955955956
astral_40_seqsim_beh
0.514
I=1.385085085085085
fraenti_s3
0.258
I=7.3184184184184184
bone_marrow_fixLabels
0.601
I=1.1979979979979982
fu_flame
0.732
I=2.365065065065065
coli_state
0.625
I=4.387387387387387
coli_find
0.356
I=4.298298298298298
coli_need
0.622
I=1.108908908908909
coli_time
0.513
I=2.4096096096096096
gionis_aggregation
0.465
I=1.1
veenman_r15
0.255
I=4.307207207207207
zahn_compound
0.497
I=6.053353353353354
synthetic_spirals
0.706
I=4.877377377377377
synthetic_cassini
0.598
I=5.126826826826828
twonorm_100d
0.705
I=3.1668668668668674
twonorm_50d
0.705
I=2.3472472472472474
synthetic_cuboid
0.511
I=7.095695695695696
astral1_161
0.465
I=2.365065065065065
tcga
0.744
I=7.086786786786788
bone_marrow
0.783
I=9.955455455455455
zachary
1.0
I=1.8572572572572574