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
0.469
x=2
y=1
chang_spiral
0.247
x=2
y=1
fraenti_s3
0.12
x=2
y=1
bone_marrow_fixLabels
0.549
x=2
y=2
fu_flame
0.59
x=2
y=1
gionis_aggregation
0.383
x=2
y=27
veenman_r15
0.954
x=61
y=600
zahn_compound
0.457
x=2
y=1
synthetic_spirals
0.33
x=2
y=1
synthetic_cassini
0.653
x=2
y=17
twonorm_100d
0.495
x=2
y=1
twonorm_50d
0.924
x=2
y=1
synthetic_cuboid
0.436
x=18
y=84
bone_marrow
0.517
x=3
y=29