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

Packages that use ParallelizedKMeansClusterer
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
 ParallelizedKMeansClusterer<DataType,ClusterType> ParallelizedKMeansClusterer.clone()
           
 ParallelizedKMeansClusterer<Vector,CentroidCluster<Vector>> KMeansFactory.create()
           
static ParallelizedKMeansClusterer<Vector,CentroidCluster<Vector>> KMeansFactory.create(int numClusters, 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, 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.