Zoltan2::KMeansAlgorithm< IT, WT > Class Template Reference

KMeansAlgorithm Class that performs clustering of the coordinates, and returns the closest set of coordinates. Useful to filter the processors, when there are more processors than needed. More...

#include <Zoltan2_TaskMapping.hpp>

Public Member Functions
	~KMeansAlgorithm ()
	KMeansAlgorithm (int dim_, IT numElements_, WT **elementCoords_, IT required_elements_)
	KMeansAlgorithm Constructor. More...
void	kmeans ()
void	getMinDistanceCluster (IT *procPermutation)

Detailed Description

template<class IT, class WT>
class Zoltan2::KMeansAlgorithm< IT, WT >

KMeansAlgorithm Class that performs clustering of the coordinates, and returns the closest set of coordinates. Useful to filter the processors, when there are more processors than needed.

Definition at line 703 of file Zoltan2_TaskMapping.hpp.

Constructor & Destructor Documentation

~KMeansAlgorithm()

template<class IT, class WT>

Zoltan2::KMeansAlgorithm< IT, WT >::~KMeansAlgorithm ( )

inline

Definition at line 714 of file Zoltan2_TaskMapping.hpp.

KMeansAlgorithm()

template<class IT, class WT>

Zoltan2::KMeansAlgorithm< IT, WT >::KMeansAlgorithm ( int  dim_, IT  numElements_, WT **  elementCoords_, IT  required_elements_  )

inline

KMeansAlgorithm Constructor.

Definition at line 722 of file Zoltan2_TaskMapping.hpp.

Member Function Documentation

kmeans()

template<class IT, class WT>

void Zoltan2::KMeansAlgorithm< IT, WT >::kmeans ( )

inline

Definition at line 790 of file Zoltan2_TaskMapping.hpp.

getMinDistanceCluster()

template<class IT, class WT>

void Zoltan2::KMeansAlgorithm< IT, WT >::getMinDistanceCluster ( IT *  procPermutation )

inline

Definition at line 816 of file Zoltan2_TaskMapping.hpp.

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The documentation for this class was generated from the following file:

• Zoltan2_TaskMapping.hpp