Uses of Interface
org.ddogleg.clustering.ComputeClusters

Packages that use ComputeClusters

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

Uses of ComputeClusters in org.ddogleg.clustering

Methods in org.ddogleg.clustering that return ComputeClusters

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

Uses of ComputeClusters in org.ddogleg.clustering.gmm

Classes in org.ddogleg.clustering.gmm that implement ComputeClusters

Modifier and Type	Class	Description
class	ExpectationMaximizationGmm_F64	Standard expectation maximization based approach to fitting mixture-of-Gaussian models to a set of data.

Methods in org.ddogleg.clustering.gmm that return ComputeClusters

Modifier and Type	Method	Description
ComputeClusters<double[]>	ExpectationMaximizationGmm_F64.newInstanceThread()

Uses of ComputeClusters in org.ddogleg.clustering.kmeans

Classes in org.ddogleg.clustering.kmeans that implement ComputeClusters

Modifier and Type	Class	Description
class	StandardKMeans<P>	Standard implementation of k-means [1], summary is provided below:
class	StandardKMeans_MT<P>	Concurrent implementation of StandardKMeans

Methods in org.ddogleg.clustering.kmeans that return ComputeClusters

Modifier and Type	Method	Description
ComputeClusters<P>	StandardKMeans_MT.newInstanceThread()
ComputeClusters<P>	StandardKMeans.newInstanceThread()