Package org.tribuo.clustering.kmeans

package org.tribuo.clustering.kmeans

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

Related Packages

Package	Description
org.tribuo.clustering	Provides classes and infrastructure for working with clustering problems.
org.tribuo.clustering.evaluation	Evaluation classes for clustering.
org.tribuo.clustering.example	Provides clustering data generators used for demos and testing implementations.
org.tribuo.clustering.hdbscan	Provides an implementation of HDBSCAN*.

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.
KMeansTrainer.Distance	Possible distance functions.
KMeansTrainer.Initialisation	Possible initialization functions.
TrainTest	Build and run a k-means clustering model for a standard dataset.
TrainTest.KMeansOptions	Options for the K-Means CLI.