Uses of Class
gov.sandia.cognition.learning.algorithm.clustering.ParallelizedKMeansClusterer

Packages that use ParallelizedKMeansClusterer

Package	Description
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.

Uses of ParallelizedKMeansClusterer in gov.sandia.cognition.learning.algorithm.clustering

Methods in gov.sandia.cognition.learning.algorithm.clustering that return ParallelizedKMeansClusterer

Modifier and Type	Method and Description
ParallelizedKMeansClusterer<DataType,ClusterType>	ParallelizedKMeansClusterer.clone()
ParallelizedKMeansClusterer<Vector,CentroidCluster<Vector>>	KMeansFactory.create()
static ParallelizedKMeansClusterer<Vector,CentroidCluster<Vector>>	KMeansFactory.create(int numClusters, java.util.Random random) Creates a new parallelized k-means clustering algorithm for vector data with the given number of clusters (k) and random number generator.
static ParallelizedKMeansClusterer<Vector,CentroidCluster<Vector>>	KMeansFactory.create(int numClusters, Semimetric<? super Vector> distanceMetric, java.util.Random random) Creates a new parallelized k-means clustering algorithm for vector data with the given number of clusters (k), distance metric, and random number generator.