Uses of Enum
org.tribuo.clustering.kmeans.KMeansTrainer.Distance
Packages that use KMeansTrainer.Distance
Package
Description
Provides a multithreaded implementation of K-Means, with a
configurable distance function.
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Uses of KMeansTrainer.Distance in org.tribuo.clustering.kmeans
Subclasses with type arguments of type KMeansTrainer.Distance in org.tribuo.clustering.kmeansFields in org.tribuo.clustering.kmeans declared as KMeansTrainer.DistanceMethods in org.tribuo.clustering.kmeans that return KMeansTrainer.DistanceModifier and TypeMethodDescriptionstatic KMeansTrainer.Distance
Returns the enum constant of this type with the specified name.static KMeansTrainer.Distance[]
KMeansTrainer.Distance.values()
Returns an array containing the constants of this enum type, in the order they are declared.Constructors in org.tribuo.clustering.kmeans with parameters of type KMeansTrainer.DistanceModifierConstructorDescriptionKMeansTrainer
(int centroids, int iterations, KMeansTrainer.Distance distanceType, int numThreads, long seed) Constructs a K-Means trainer using the supplied parameters.