Uses of Interface
org.ddogleg.clustering.ComputeMeanClusters

Packages that use ComputeMeanClusters

Package	Description
org.ddogleg.clustering
org.ddogleg.clustering.kmeans
org.ddogleg.clustering.misc

Uses of ComputeMeanClusters in org.ddogleg.clustering

Methods in org.ddogleg.clustering that return ComputeMeanClusters

Modifier and Type	Method	Description
ComputeMeanClusters<P>	ComputeMeanClusters.newInstanceThread()	Creates a new instance which has the same configuration and can be run in parallel.

Methods in org.ddogleg.clustering with parameters of type ComputeMeanClusters

Modifier and Type	Method	Description
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 <P> StandardKMeans<P>	FactoryClustering.kMeans_MT(@Nullable ConfigKMeans config, int minimumForThreads, ComputeMeanClusters<P> updateMeans, PointDistance<P> pointDistance, DogLambdas.NewInstance<P> factory)

Uses of ComputeMeanClusters in org.ddogleg.clustering.kmeans

Fields in org.ddogleg.clustering.kmeans declared as ComputeMeanClusters

Modifier and Type	Field	Description
ComputeMeanClusters<P>	StandardKMeans.updateMeans

Constructors in org.ddogleg.clustering.kmeans with parameters of type ComputeMeanClusters

Modifier	Constructor	Description
	StandardKMeans(ComputeMeanClusters<P> updateMeans, InitializeKMeans<P> seedSelector, PointDistance<P> distancer, DogLambdas.NewInstance<P> factory)	Configures k-means parameters
	StandardKMeans_MT(ComputeMeanClusters<P> updateMeans, InitializeKMeans<P> seedSelector, PointDistance<P> distancer, DogLambdas.NewInstance<P> factory)	Configures k-means parameters

Uses of ComputeMeanClusters in org.ddogleg.clustering.misc

Classes in org.ddogleg.clustering.misc that implement ComputeMeanClusters

Modifier and Type	Class	Description
class	MeanArrayF64	Computes the mean for points composed of double[]

Methods in org.ddogleg.clustering.misc that return ComputeMeanClusters

Modifier and Type	Method	Description
ComputeMeanClusters<double[]>	MeanArrayF64.newInstanceThread()