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)

Detailed Description

Definition at line 33 of file PndMvaCluster.h.

Constructor & Destructor Documentation

PndMvaCluster() [1/2]

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

explicit

Constructor.

Parameters

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

PndMvaCluster() [2/2]

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.

~PndMvaCluster()

virtual PndMvaCluster::~PndMvaCluster ( )

virtual

Destructor.

Member Function Documentation

Cluster()

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.

ClusterAndLabel()

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.

GetClusterDimension()

size_t PndMvaCluster::GetClusterDimension ( ) const

inline

Get the dimension of the input data points.

Returns

Dimension of the data points.

Definition at line 171 of file PndMvaCluster.h.

{
  return m_dimension;
};

GetNumberOfClusters()

size_t PndMvaCluster::GetNumberOfClusters ( ) const

inline

Get the number of cluster centeroids.

Returns

Number of cluster centeroids.

Definition at line 166 of file PndMvaCluster.h.

{
  return m_num_Cluster;
};

SetForceToLabel()

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 185 of file PndMvaCluster.h.

{
  m_forceToLabel = label;
};

SetNumberOfClusters()

void PndMvaCluster::SetNumberOfClusters ( size_t  val )

inline

Set the number of centroids.

Parameters

val	Number of centeroids.

Definition at line 176 of file PndMvaCluster.h.

{
  m_num_Cluster = val;
};

Setprune()

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 181 of file PndMvaCluster.h.

{
  m_prune = prune;
};

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

• PndMvaCluster.h