Clust
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clustering evaluation framework
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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
chang_pathbased
0.532
x=21
y=30
chang_spiral
0.462
x=105
y=52
fraenti_s3
0.617
x=335
y=4666
bone_marrow_fixLabels
0.665
x=2
y=2
fu_flame
0.42
x=2
y=224
gionis_aggregation
0.676
x=106
y=446
veenman_r15
0.986
x=61
y=600
zahn_compound
0.643
x=15
y=279
synthetic_spirals
0.271
x=134
y=100
synthetic_cassini
0.638
x=2
y=17
twonorm_100d
0.338
x=2
y=140
twonorm_50d
0.862
x=2
y=1
synthetic_cuboid
0.769
x=18
y=84
bone_marrow
0.639
x=2
y=2