Uses of Enum
org.tribuo.clustering.kmeans.KMeansTrainer.Initialisation

Packages that use KMeansTrainer.Initialisation

Package	Description
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.

Uses of KMeansTrainer.Initialisation in org.tribuo.clustering.kmeans

Subclasses with type arguments of type KMeansTrainer.Initialisation in org.tribuo.clustering.kmeans

Modifier and Type	Class	Description
static enum	KMeansTrainer.Initialisation	Possible initialization functions.

Fields in org.tribuo.clustering.kmeans declared as KMeansTrainer.Initialisation

Modifier and Type	Field	Description
KMeansTrainer.Initialisation	KMeansOptions.initialisation
KMeansTrainer.Initialisation	TrainTest.KMeansOptions.initialisation

Methods in org.tribuo.clustering.kmeans that return KMeansTrainer.Initialisation

Modifier and Type	Method	Description
static KMeansTrainer.Initialisation	KMeansTrainer.Initialisation.valueOf(String name)	Returns the enum constant of this type with the specified name.
static KMeansTrainer.Initialisation[]	KMeansTrainer.Initialisation.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.Initialisation

Modifier	Constructor	Description
	KMeansTrainer(int centroids, int iterations, KMeansTrainer.Distance distanceType, KMeansTrainer.Initialisation initialisationType, int numThreads, long seed)	Constructs a K-Means trainer using the supplied parameters.