Uses of Class
org.ddogleg.clustering.kmeans.StandardKMeans

Packages that use StandardKMeans

Package	Description
org.ddogleg.clustering
org.ddogleg.clustering.gmm
org.ddogleg.clustering.kmeans

Uses of StandardKMeans in org.ddogleg.clustering

Methods in org.ddogleg.clustering that return StandardKMeans

Modifier and Type	Method	Description
static <T> StandardKMeans<T>	FactoryClustering.kMeans(@Nullable ConfigKMeans config, int pointDimension, Class<T> dataType)	K-Means using a primitive array, e.g.
static <P> StandardKMeans<P>	FactoryClustering.kMeans(@Nullable ConfigKMeans config, ComputeMeanClusters<P> updateMeans, PointDistance<P> pointDistance, DogLambdas.NewInstance<P> factory)	High level interface for creating k-means cluster.
static <T> StandardKMeans<T>	FactoryClustering.kMeans_MT(@Nullable ConfigKMeans config, int pointDimension, int minimumForThreads, Class<T> dataType)
static <P> StandardKMeans<P>	FactoryClustering.kMeans_MT(@Nullable ConfigKMeans config, int minimumForThreads, ComputeMeanClusters<P> updateMeans, PointDistance<P> pointDistance, DogLambdas.NewInstance<P> factory)

Uses of StandardKMeans in org.ddogleg.clustering.gmm

Constructors in org.ddogleg.clustering.gmm with parameters of type StandardKMeans

Constructor	Description
SeedFromKMeans_F64(StandardKMeans<double[]> kmeans)

Uses of StandardKMeans in org.ddogleg.clustering.kmeans

Subclasses of StandardKMeans in org.ddogleg.clustering.kmeans

Modifier and Type	Class	Description
class	StandardKMeans_MT<P>	Concurrent implementation of StandardKMeans