GClasses::GKMedoidsSparse Class Reference

Detailed Description

An implementation of the K-medoids clustering algorithm for sparse data.

#include <GCluster.h>

Inheritance diagram for GClasses::GKMedoidsSparse:

Public Member Functions
	GKMedoidsSparse (size_t clusters)
virtual	~GKMedoidsSparse ()
virtual void	cluster (GSparseMatrix *pData)
	Performs clustering. More...
virtual size_t	whichCluster (size_t nVector)
	Identifies the cluster of the specified row. More...
Public Member Functions inherited from GClasses::GSparseClusterer
	GSparseClusterer (size_t clusterCount)
virtual	~GSparseClusterer ()
size_t	clusterCount ()
	Return the number of clusters. More...
void	setMetric (GSparseSimilarity *pMetric, bool own)
	If own is true, then this takes ownership of pMetric. More...

Protected Member Functions
double	curGoodness ()

Protected Attributes
double	m_d
GSparseMatrix *	m_pData
size_t *	m_pMedoids
Protected Attributes inherited from GClasses::GSparseClusterer
size_t	m_clusterCount
bool	m_ownMetric
GSparseSimilarity *	m_pMetric

Constructor & Destructor Documentation

GClasses::GKMedoidsSparse::GKMedoidsSparse

(

size_t

clusters

)

virtual GClasses::GKMedoidsSparse::~GKMedoidsSparse ( )

virtual

Member Function Documentation

virtual void GClasses::GKMedoidsSparse::cluster ( GSparseMatrix *  pData )

virtual

Performs clustering.

Implements GClasses::GSparseClusterer.

double GClasses::GKMedoidsSparse::curGoodness ( )

protected

virtual size_t GClasses::GKMedoidsSparse::whichCluster ( size_t  nVector )

virtual

Identifies the cluster of the specified row.

Implements GClasses::GSparseClusterer.

Member Data Documentation

double GClasses::GKMedoidsSparse::m_d

protected

GSparseMatrix* GClasses::GKMedoidsSparse::m_pData

protected

size_t* GClasses::GKMedoidsSparse::m_pMedoids

protected