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=300
y=300
chang_spiral
1.0
x=22
y=11
fraenti_s3
1.0
x=4167
y=1
bone_marrow_fixLabels
0.535
x=2
y=2
fu_flame
1.0
x=57
y=144
gionis_aggregation
1.0
x=447
y=420
veenman_r15
1.0
x=600
y=600
zahn_compound
1.0
x=399
y=359
synthetic_spirals
1.0
x=10
y=208
synthetic_cassini
1.0
x=250
y=200
twonorm_100d
1.0
x=61
y=153
twonorm_50d
1.0
x=200
y=180
synthetic_cuboid
1.0
x=51
y=241
bone_marrow
1.0
x=28
y=38