Clust
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clustering evaluation framework
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Best Parameters
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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
0.515
x=2
y=1
chang_spiral
0.465
x=2
y=11
fraenti_s3
0.405
x=2
y=1
bone_marrow_fixLabels
0.209
x=2
y=2
fu_flame
0.378
x=2
y=1
gionis_aggregation
0.455
x=2
y=27
veenman_r15
0.717
x=61
y=600
zahn_compound
0.638
x=2
y=1
synthetic_spirals
0.372
x=134
y=100
synthetic_cassini
0.509
x=2
y=17
twonorm_100d
0.017
x=2
y=140
twonorm_50d
0.075
x=2
y=1
synthetic_cuboid
0.509
x=18
y=84
bone_marrow
0.28
x=2
y=2