aims::knn::KnnGlobalFriedman Class Reference

#include <aims/math/knn.h>

Inheritance diagram for aims::knn::KnnGlobalFriedman:

Collaboration diagram for aims::knn::KnnGlobalFriedman:

Public Member Functions
	KnnGlobalFriedman (Database &db, unsigned int k, Distance *distance=new SquaredEuclidianDistance())
virtual	~KnnGlobalFriedman ()
virtual void	precompute (void)
std::pair< std::vector< unsigned int >, std::vector< double > >	find (const std::vector< double > &v)
Public Member Functions inherited from aims::knn::KnnFriedman
	KnnFriedman (Database &db, unsigned int k, Distance *distance=new SquaredEuclidianDistance())
virtual	~KnnFriedman ()
Public Member Functions inherited from aims::knn::Knn
	Knn (Database &db, unsigned int k, Distance *distance=new SquaredEuclidianDistance())
virtual	~Knn ()

Additional Inherited Members
Protected Attributes inherited from aims::knn::Knn
Database &	_db
	database wrapper of data
unsigned int	_k
	k : number of nearest neighbours
Distance *	_distance
	distance used in nearest neighbours computations
int	_distance_n
	number of computed distance

Detailed Description

Definition at line 590 of file knn.h.

Constructor & Destructor Documentation

KnnGlobalFriedman()

aims::knn::KnnGlobalFriedman::KnnGlobalFriedman ( Database & db, unsigned int k, Distance * distance = new SquaredEuclidianDistance() )

inline

Definition at line 593 of file knn.h.

References aims::knn::KnnFriedman::KnnFriedman().

~KnnGlobalFriedman()

virtual aims::knn::KnnGlobalFriedman::~KnnGlobalFriedman ( )

inlinevirtual

Definition at line 596 of file knn.h.

Member Function Documentation

find()

std::pair< std::vector< unsigned int >, std::vector< double > > aims::knn::KnnGlobalFriedman::find ( const std::vector< double > & v )

virtual

Implements aims::knn::KnnFriedman.

precompute()

virtual void aims::knn::KnnGlobalFriedman::precompute ( void )

virtual

Implements aims::knn::KnnFriedman.

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

• aims/math/knn.h