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
1.0
x=290
y=120
chang_spiral
1.0
x=2
y=197
fraenti_s3
1.0
x=4167
y=1
bone_marrow_fixLabels
0.535
x=2
y=2
fu_flame
1.0
x=33
y=8
gionis_aggregation
1.0
x=630
y=263
veenman_r15
1.0
x=101
y=40
zahn_compound
1.0
x=399
y=359
synthetic_spirals
1.0
x=2
y=191
synthetic_cassini
1.0
x=26
y=9
twonorm_100d
1.0
x=200
y=160
twonorm_50d
1.0
x=160
y=200
synthetic_cuboid
1.0
x=117
y=250
bone_marrow
1.0
x=3
y=28