PndMvaCluster Class Reference

#include <PndMvaCluster.h>

Public Member Functions
	PndMvaCluster (DataPoints const &InputData, size_t nCluster)
	PndMvaCluster (DataPoints const &InputData, size_t nCluster, bool const prune, bool const forceLabels)
virtual	~PndMvaCluster ()
virtual DataPoints *	Cluster (ClusteringType const ClType=KMEANS_HARD)
virtual DataPoints *	ClusterAndLabel (ClusteringType const ClType, std::vector< std::string > const &labels)
size_t	GetNumberOfClusters () const
size_t	GetClusterDimension () const
void	SetNumberOfClusters (size_t val)
void	Setprune (bool const prune=false)
void	SetForceToLabel (bool const forceLabel=false)

Private Member Functions
	PndMvaCluster (const PndMvaCluster &other)
	To avoid mistakes. More...
PndMvaCluster &	operator= (const PndMvaCluster &other)
DataPoints *	K_Means ()
void	InitCentroids ()
void	InitialPartition ()
void	ComputeCentroids ()
void	ResetCenteroids ()
void	ClearStructures ()
void	ReInitEmptyCenter (size_t centerIdx)

Private Attributes
size_t	m_num_Cluster
DataPoints	m_PointSet
	number of cluster centers. More...
size_t	m_dimension
	input data points. More...
DataPoints	m_Centroids
	Data points dimension. More...
std::vector< size_t >	m_PointsToClusters
std::vector< std::set< size_t > * >	m_ClustersToPoints
bool	m_prune
bool	m_forceToLabel

Detailed Description

Definition at line 33 of file PndMvaCluster.h.

Constructor & Destructor Documentation

PndMvaCluster::PndMvaCluster ( DataPoints const &  InputData, size_t  nCluster  )

explicit

Constructor.

Parameters

InputData	Input Data points.
nCluster	Number of clusters to be created.

PndMvaCluster::PndMvaCluster ( DataPoints const &  InputData, size_t  nCluster, bool const  prune, bool const  forceLabels  )

explicit

Constructor.

Parameters

InputData	Input Data points.
nCluster	Number of clusters to be created.
prune	Prune the created cluster.
forceLabels	Force to label the undecided and unknown points.

virtual PndMvaCluster::~PndMvaCluster ( )

virtual

Destructor.

PndMvaCluster::PndMvaCluster ( const PndMvaCluster &  other )

private

To avoid mistakes.

Member Function Documentation

void PndMvaCluster::ClearStructures ( )

private

virtual DataPoints* PndMvaCluster::Cluster ( ClusteringType const  ClType = KMEANS_HARD )

virtual

Compute Cluster centers for the current input data.

Parameters

ClType

Clustering algorithm.

Returns

Vector containing the cluster centroids.

virtual DataPoints* PndMvaCluster::ClusterAndLabel ( ClusteringType const  ClType, std::vector< std::string > const &  labels  )

virtual

Compute Cluster centers for the current input data. The label of the majority of their members determines the label of the center.

Parameters

ClType	Clustering algorithm (default is KMEANS_HARD).
labels	The labes of the currently available classes.

Returns

Vector containing the cluster centroids.

void PndMvaCluster::ComputeCentroids ( )

private

size_t PndMvaCluster::GetClusterDimension ( ) const

inline

Get the dimension of the input data points.

Returns

Dimension of the data points.

Definition at line 174 of file PndMvaCluster.h.

References m_dimension.

{
  return m_dimension;
};

size_t PndMvaCluster::GetNumberOfClusters ( ) const

inline

Get the number of cluster centeroids.

Returns

Number of cluster centeroids.

Definition at line 169 of file PndMvaCluster.h.

References m_num_Cluster.

{
  return m_num_Cluster;
};

void PndMvaCluster::InitCentroids ( )

private

void PndMvaCluster::InitialPartition ( )

private

DataPoints* PndMvaCluster::K_Means ( )

private

PndMvaCluster& PndMvaCluster::operator= ( const PndMvaCluster &  other )

private

void PndMvaCluster::ReInitEmptyCenter ( size_t  centerIdx )

private

void PndMvaCluster::ResetCenteroids ( )

private

void PndMvaCluster::SetForceToLabel ( bool const  forceLabel = false )

inline

The centroids that do not have a label (unknown, undecided) will get the label of the nearest data point from the input data set.

Parameters

forceLabel

Force the labeling even if the determined label is unknown or undecided.

Definition at line 188 of file PndMvaCluster.h.

References m_forceToLabel.

{
  m_forceToLabel = label;
};

void PndMvaCluster::SetNumberOfClusters ( size_t  val )

inline

Set the number of centroids.

Parameters

val	Number of centeroids.

Definition at line 179 of file PndMvaCluster.h.

References m_num_Cluster, and val.

{
  m_num_Cluster = val;
};

void PndMvaCluster::Setprune ( bool const  prune = false )

inline

Set if the created cluster list needs to be pruned. Remove the unknown and undecided labels.

Parameters

prune

If prune after clustering.

Definition at line 184 of file PndMvaCluster.h.

References m_prune.

{
  m_prune = prune;
};

Member Data Documentation

DataPoints PndMvaCluster::m_Centroids

private

Data points dimension.

Definition at line 155 of file PndMvaCluster.h.

std::vector< std::set<size_t>* > PndMvaCluster::m_ClustersToPoints

private

Definition at line 161 of file PndMvaCluster.h.

size_t PndMvaCluster::m_dimension

private

input data points.

Definition at line 152 of file PndMvaCluster.h.

Referenced by GetClusterDimension().

bool PndMvaCluster::m_forceToLabel

private

Definition at line 164 of file PndMvaCluster.h.

Referenced by SetForceToLabel().

size_t PndMvaCluster::m_num_Cluster

private

Definition at line 150 of file PndMvaCluster.h.

Referenced by GetNumberOfClusters(), and SetNumberOfClusters().

DataPoints PndMvaCluster::m_PointSet

private

number of cluster centers.

Definition at line 151 of file PndMvaCluster.h.

std::vector<size_t> PndMvaCluster::m_PointsToClusters

private

Definition at line 158 of file PndMvaCluster.h.

bool PndMvaCluster::m_prune

private

Definition at line 163 of file PndMvaCluster.h.

Referenced by Setprune().

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

• PndMvaCluster.h