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clustering evaluation framework
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Spectral 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
0.795
k=15
chang_pathbased
0.797
k=8
ppi_mips
0.817
k=83
chang_spiral
0.912
k=3
astral_40_strsim
0.78
k=1046
astral_40_seqsim_beh
0.78
k=1044
fraenti_s3
0.788
k=42
bone_marrow_fixLabels
0.906
k=2
fu_flame
0.736
k=6
coli_state
0.355
k=190
coli_find
0.545
k=419
coli_need
0.359
k=103
coli_time
0.396
k=511
gionis_aggregation
0.95
k=9
veenman_r15
0.949
k=25
zahn_compound
0.804
k=20
synthetic_spirals
0.667
k=2
synthetic_cassini
1.0
k=18
twonorm_100d
0.782
k=4
twonorm_50d
0.816
k=2
synthetic_cuboid
0.727
k=22
astral1_161
0.741
k=3
tcga
0.237
k=278
bone_marrow
0.432
k=26
zachary
0.397
k=11