Package | Description |
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org.tribuo.clustering.kmeans |
Provides a multithreaded implementation of K-Means, with a
configurable distance function.
|
Class and Description |
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KMeansModel
A K-Means model with a selectable distance function.
|
KMeansTrainer
A K-Means trainer, which generates a K-means clustering of the supplied
data.
|
KMeansTrainer.Distance
Possible distance functions.
|
KMeansTrainer.Initialisation
Possible initialization functions.
|
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