Package org.tribuo.clustering.kmeans

Provides a multithreaded implementation of K-Means, with a configurable distance function.

See: Description

Class Summary

Class	Description
KMeansModel	A K-Means model with a selectable distance function.
KMeansOptions	OLCUT Options for the K-Means implementation.
KMeansTrainer	A K-Means trainer, which generates a K-means clustering of the supplied data.
TrainTest	Build and run a k-means clustering model for a standard dataset.
TrainTest.KMeansOptions	Options for the K-Means CLI.

Enum Summary

Enum	Description
KMeansTrainer.Distance	Possible distance functions.
KMeansTrainer.Initialisation	Possible initialization functions.

Package org.tribuo.clustering.kmeans Description

Provides a multithreaded implementation of K-Means, with a configurable distance function.