Package org.ddogleg.clustering.misc

Class MeanArrayF64

java.lang.Object

org.ddogleg.clustering.misc.MeanArrayF64

All Implemented Interfaces:

ComputeMeanClusters<double[]>

public class MeanArrayF64
extends Object
implements ComputeMeanClusters<double[]>

Computes the mean for points composed of double[]

Constructor Summary

Constructors

Constructor	Description
MeanArrayF64(int length)

Method Summary

Modifier and Type	Method	Description
ComputeMeanClusters<double[]>	newInstanceThread()	Creates a new instance which has the same configuration and can be run in parallel.
void	process(LArrayAccessor<double[]> points, DogArray_I32 assignments, FastAccess<double[]> clusters)	Updates cluster means

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

MeanArrayF64

public MeanArrayF64(int length)

Method Details

process

public void process(LArrayAccessor<double[]> points,
 DogArray_I32 assignments,
 FastAccess<double[]> clusters)

Description copied from interface: ComputeMeanClusters

Updates cluster means

Specified by:

process in interface ComputeMeanClusters<double[]>

Parameters:

points - (Input) access to point values

assignments - (Input) which cluster each point has been assigned to

clusters - (Output) Cluster means which are to be updated.

newInstanceThread

public ComputeMeanClusters<double[]> newInstanceThread()

Description copied from interface: ComputeMeanClusters

Creates a new instance which has the same configuration and can be run in parallel. Some components can be shared as long as they are read only and thread safe.

Specified by:

newInstanceThread in interface ComputeMeanClusters<double[]>