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
4.149
x=2
y=1
chang_spiral
3.051
x=2
y=1
fraenti_s3
3.365
x=2
y=1
bone_marrow_fixLabels
2.285
x=2
y=2
fu_flame
3.223
x=2
y=1
gionis_aggregation
3.59
x=2
y=27
veenman_r15
2.805
x=2
y=1
zahn_compound
5.204
x=2
y=1
synthetic_spirals
3.129
x=2
y=1
synthetic_cassini
4.192
x=2
y=17
twonorm_100d
1.983
x=2
y=14
twonorm_50d
2.139
x=2
y=1
synthetic_cuboid
3.079
x=2
y=1
bone_marrow
2.285
x=2
y=1