KernelNearestNeighbor Class Reference

The kernel nearest neighbor classifier is parameter free, that is, it does not require training. More...

#include <KernelNearestNeighbor.h>

Inheritance diagram for KernelNearestNeighbor:

List of all members.

Public Member Functions
	KernelNearestNeighbor (KernelFunction *kernelfunction, int k)
	Constructor.
	KernelNearestNeighbor (const Array< double > &input, const Array< double > &target, KernelFunction *kernelfunction, int k)
	Constructor.
	~KernelNearestNeighbor ()
	Destructor.
void	SetPoints (const Array< double > &input, const Array< double > &target)
	Define a set of labeled points as a base for classification.
void	setParameter (unsigned int index, double value)
	Change the number of neighbors or a kernel parameter and recalc the coefficients.
void	model (const Array< double > &input, Array< double > &output)
	The model method does the classification.
Protected Member Functions
void	Recalc ()
double	classify (Array< double > pattern)
	Do the classification, return a label (-1 or +1).
Protected Attributes
Array< double >	training_input
Array< double >	training_target
KernelFunction *	kernel
bool	bMustRecalc
int	numberOfNeighbors
Array< double >	diag

Detailed Description

The kernel nearest neighbor classifier is parameter free, that is, it does not require training.

Definition at line 54 of file KernelNearestNeighbor.h.

Constructor & Destructor Documentation

KernelNearestNeighbor::KernelNearestNeighbor	(	KernelFunction *	kernelfunction,
		int	k
	)

Constructor.

Parameters:

	kernelfunction	kernel function
	k	number of neighbors to consider

Definition at line 47 of file KernelNearestNeighbor.cpp.

References Model::getParameter(), Model::getParameterDimension(), numberOfNeighbors, and Model::parameter.

KernelNearestNeighbor::KernelNearestNeighbor	(	const Array< double > &	input,
		const Array< double > &	target,
		KernelFunction *	kernelfunction,
		int	k
	)

Constructor.

Parameters:

	input	input patterns
	target	input labels
	kernelfunction	kernel function
	k	number of neighbors to consider

Definition at line 58 of file KernelNearestNeighbor.cpp.

References numberOfNeighbors, and SetPoints().

KernelNearestNeighbor::~KernelNearestNeighbor ( )

Destructor.

Definition at line 66 of file KernelNearestNeighbor.cpp.

Member Function Documentation

double KernelNearestNeighbor::classify ( Array< double > pattern ) [protected]

Do the classification, return a label (-1 or +1).

Definition at line 128 of file KernelNearestNeighbor.cpp.

References diag, KernelFunction::eval(), i, kernel, numberOfNeighbors, training_input, and training_target.

Referenced by model().

void KernelNearestNeighbor::model	(	const Array< double > &	input,
		Array< double > &	output
	)			`[virtual]`

The model method does the classification.

Implements Model.

Definition at line 97 of file KernelNearestNeighbor.cpp.

References bMustRecalc, classify(), and Recalc().

void KernelNearestNeighbor::Recalc ( ) [protected]

Definition at line 115 of file KernelNearestNeighbor.cpp.

References bMustRecalc, diag, KernelFunction::eval(), i, kernel, numberOfNeighbors, and training_input.

Referenced by model().

void KernelNearestNeighbor::setParameter	(	unsigned int	index,
		double	value
	)			`[virtual]`

Change the number of neighbors or a kernel parameter and recalc the coefficients.

Reimplemented from Model.

Definition at line 81 of file KernelNearestNeighbor.cpp.

References bMustRecalc, kernel, numberOfNeighbors, Model::parameter, and Model::setParameter().

void KernelNearestNeighbor::SetPoints	(	const Array< double > &	input,
		const Array< double > &	target
	)

Define a set of labeled points as a base for classification.

Definition at line 72 of file KernelNearestNeighbor.cpp.

References bMustRecalc, Model::inputDimension, Model::outputDimension, training_input, and training_target.

Referenced by KernelNearestNeighbor().

Member Data Documentation

bool KernelNearestNeighbor::bMustRecalc [protected]

Definition at line 94 of file KernelNearestNeighbor.h.

Referenced by model(), Recalc(), setParameter(), and SetPoints().

Array<double> KernelNearestNeighbor::diag [protected]

Definition at line 96 of file KernelNearestNeighbor.h.

Referenced by classify(), and Recalc().

KernelFunction* KernelNearestNeighbor::kernel [protected]

Definition at line 93 of file KernelNearestNeighbor.h.

Referenced by classify(), Recalc(), and setParameter().

int KernelNearestNeighbor::numberOfNeighbors [protected]

Definition at line 95 of file KernelNearestNeighbor.h.

Referenced by classify(), KernelNearestNeighbor(), Recalc(), and setParameter().

Array<double> KernelNearestNeighbor::training_input [protected]

Definition at line 91 of file KernelNearestNeighbor.h.

Referenced by classify(), Recalc(), and SetPoints().

Array<double> KernelNearestNeighbor::training_target [protected]

Definition at line 92 of file KernelNearestNeighbor.h.

Referenced by classify(), and SetPoints().

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