This is a subclass of the KdTreeNode. More...

#include <itkKdTree.h>

Inheritance diagram for itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >:

Collaboration diagram for itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >:

Public Types
typedef Superclass::CentroidType	CentroidType
typedef Superclass::InstanceIdentifier	InstanceIdentifier
typedef Superclass::MeasurementType	MeasurementType
typedef TSample::MeasurementVectorSizeType	MeasurementVectorSizeType
typedef KdTreeNode< TSample >	Self
typedef KdTreeNode< TSample >	Superclass

Public Member Functions
	KdTreeWeightedCentroidNonterminalNode (unsigned int partitionDimension, MeasurementType partitionValue, Superclass left, Superclass right, CentroidType &centroid, unsigned int size)
virtual	~KdTreeWeightedCentroidNonterminalNode ()
void	AddInstanceIdentifier (InstanceIdentifier valueId)
void	GetCentroid (CentroidType &centroid)
InstanceIdentifier	GetInstanceIdentifier (vcl_size_t) const
MeasurementVectorSizeType	GetMeasurementVectorSize () const
void	GetParameters (unsigned int &partitionDimension, MeasurementType &partitionValue) const
void	GetWeightedCentroid (CentroidType &centroid)
virtual bool	IsTerminal () const
Superclass *	Left ()
const Superclass *	Left () const
Superclass *	Right ()
const Superclass *	Right () const
unsigned int	Size () const

Private Attributes
CentroidType	m_Centroid
InstanceIdentifier	m_InstanceIdentifier
Superclass *	m_Left
MeasurementVectorSizeType	m_MeasurementVectorSize
unsigned int	m_PartitionDimension
MeasurementType	m_PartitionValue
Superclass *	m_Right
unsigned int	m_Size
CentroidType	m_WeightedCentroid

Detailed Description

template<class TSample>
class itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >

This is a subclass of the KdTreeNode.

KdTreeNonterminalNode does have the information related with the centroids. Therefore, the GetWeightedCentroid and the GetCentroid methods returns meaningful values. This class should have the left and right children. If we have a sample and want to generate a KdTree with the centroid related information, we can use the WeightedCentroidKdTreeGenerator. The centroid, the weighted centroid, and the size (the number of measurement vectors) can be used to accelate the k-means estimation.

See also:: KdTreeNode, KdTreeNonterminalNode, WeightedCentroidKdTreeGenerator

Definition at line 206 of file itkKdTree.h.

Member Typedef Documentation

template<class TSample >

typedef Superclass::CentroidType itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::CentroidType

Centroid type

Reimplemented from itk::Statistics::KdTreeNode< TSample >.

Definition at line 210 of file itkKdTree.h.

template<class TSample >

typedef Superclass::InstanceIdentifier itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::InstanceIdentifier

Instance identifier type (index value type for the measurement vector in a sample

Reimplemented from itk::Statistics::KdTreeNode< TSample >.

Definition at line 211 of file itkKdTree.h.

template<class TSample >

typedef Superclass::MeasurementType itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::MeasurementType

Measurement type, not the measurement vector type

Reimplemented from itk::Statistics::KdTreeNode< TSample >.

Definition at line 209 of file itkKdTree.h.

template<class TSample >

typedef TSample::MeasurementVectorSizeType itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::MeasurementVectorSizeType

Definition at line 212 of file itkKdTree.h.

template<class TSample >

typedef KdTreeNode< TSample> itk::Statistics::KdTreeNode< TSample >::Self

inherited

type alias for itself

Definition at line 69 of file itkKdTree.h.

template<class TSample >

typedef KdTreeNode< TSample > itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::Superclass

Definition at line 208 of file itkKdTree.h.

Constructor & Destructor Documentation

template<class TSample >

itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::KdTreeWeightedCentroidNonterminalNode	(	unsigned int	partitionDimension,
		MeasurementType	partitionValue,
		Superclass *	left,
		Superclass *	right,
		CentroidType &	centroid,
		unsigned int	size
	)

Definition at line 50 of file itkKdTree.txx.

References itk::MeasurementVectorTraits::GetLength().

template<class TSample >

virtual itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::~KdTreeWeightedCentroidNonterminalNode ( )

inlinevirtual

Definition at line 220 of file itkKdTree.h.

Member Function Documentation

template<class TSample >

void itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::AddInstanceIdentifier ( InstanceIdentifier id )

inlinevirtual

Add an instance to this node

Implements itk::Statistics::KdTreeNode< TSample >.

Definition at line 261 of file itkKdTree.h.

References itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::m_InstanceIdentifier.

template<class TSample >

void itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::GetCentroid ( CentroidType & centroid )

inlinevirtual

Returns the centroid. weighted centroid divided by the size

Implements itk::Statistics::KdTreeNode< TSample >.

Definition at line 255 of file itkKdTree.h.

References itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::m_Centroid.

template<class TSample >

InstanceIdentifier itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::GetInstanceIdentifier ( vcl_size_t index ) const

inlinevirtual

Retuns the instance identifier of the index-th measurement vector

Implements itk::Statistics::KdTreeNode< TSample >.

Definition at line 258 of file itkKdTree.h.

References itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::m_InstanceIdentifier.

template<class TSample >

MeasurementVectorSizeType itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::GetMeasurementVectorSize ( ) const

inline

Return the length of a measurement vector

Definition at line 232 of file itkKdTree.h.

References itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::m_MeasurementVectorSize.

template<class TSample >

void itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::GetParameters	(	unsigned int &	partitionDimension,
		MeasurementType &	partitionValue
	)		const

virtual

Fills the partitionDimension (the dimension that was chosen to split the measurement vectors belong to this node to the left and the right child among k dimensions) and the partitionValue (the measurement value on the partitionDimension divides the left and the right child

Implements itk::Statistics::KdTreeNode< TSample >.

Definition at line 72 of file itkKdTree.txx.

template<class TSample >

void itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::GetWeightedCentroid ( CentroidType & centroid )

inlinevirtual

Returns the vector sum of the all measurement vectors under this node

Implements itk::Statistics::KdTreeNode< TSample >.

Definition at line 252 of file itkKdTree.h.

References itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::m_WeightedCentroid.

template<class TSample >

virtual bool itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample >::IsTerminal ( ) const

inlinevirtual