Uses of Interface
org.ddogleg.clustering.PointDistance

Packages that use PointDistance

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

Uses of PointDistance in org.ddogleg.clustering

Methods in org.ddogleg.clustering that return PointDistance

Modifier and Type	Method	Description
PointDistance<P>	PointDistance.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 PointDistance

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 PointDistance in org.ddogleg.clustering.kmeans

Methods in org.ddogleg.clustering.kmeans with parameters of type PointDistance

Modifier and Type	Method	Description
void	InitializeKMeans.initialize(PointDistance<P> distance, long randomSeed)	Initializes internal data structures.
void	InitializePlusPlus.initialize(PointDistance<P> distance, long randomSeed)
void	InitializeStandard.initialize(PointDistance<P> distance, long randomSeed)

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

Modifier	Constructor	Description
	AssignKMeans(List<P> clusters, PointDistance<P> distancer)
	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 PointDistance in org.ddogleg.clustering.misc

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

Modifier and Type	Class	Description
class	EuclideanSqArrayF64	Returns Euclidean distance squared for double[] points.

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

Modifier and Type	Method	Description
PointDistance<double[]>	EuclideanSqArrayF64.newInstanceThread()