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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
0.451
k=14
chang_pathbased
0.693
k=8
ppi_mips
0.407
k=101
chang_spiral
0.854
k=3
astral_40_strsim
0.019
k=179
astral_40_seqsim_beh
0.074
k=340
fraenti_s3
0.578
k=42
bone_marrow_fixLabels
0.894
k=2
fu_flame
0.659
k=4
coli_state
0.362
k=4
coli_find
0.119
k=4
coli_need
0.301
k=4
coli_time
0.264
k=2
gionis_aggregation
0.899
k=8
veenman_r15
0.869
k=25
zahn_compound
0.545
k=20
synthetic_spirals
0.499
k=2
synthetic_cassini
1.0
k=18
twonorm_100d
0.872
k=4
twonorm_50d
0.889
k=2
synthetic_cuboid
0.441
k=14
astral1_161
0.517
k=3
tcga
0.355
k=5
bone_marrow
0.485
k=26
zachary
0.37
k=2