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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
0.656
k=15
chang_pathbased
0.867
k=2
ppi_mips
0.535
k=83
chang_spiral
0.93
k=3
astral_40_strsim
0.224
k=370
astral_40_seqsim_beh
0.457
k=126
fraenti_s3
0.85
k=42
bone_marrow_fixLabels
0.973
k=2
fu_flame
0.889
k=4
coli_state
0.516
k=4
coli_find
0.217
k=3
coli_need
0.493
k=4
coli_time
0.403
k=6
gionis_aggregation
0.943
k=9
veenman_r15
0.952
k=25
zahn_compound
0.8
k=20
synthetic_spirals
0.698
k=2
synthetic_cassini
1.0
k=18
twonorm_100d
0.965
k=4
twonorm_50d
0.97
k=2
synthetic_cuboid
0.709
k=22
astral1_161
0.78
k=3
tcga
0.5
k=5
bone_marrow
0.716
k=26
zachary
0.69
k=4