aims::knn::KnnFriedman Class Reference

#include <aims/math/knn.h>

Inheritance diagram for aims::knn::KnnFriedman:

Collaboration diagram for aims::knn::KnnFriedman:

Public Member Functions
	KnnFriedman (Database &db, unsigned int k, Distance *distance=new SquaredEuclidianDistance())
virtual	~KnnFriedman ()
virtual void	precompute (void)=0
virtual std::pair< std::vector< unsigned int >, std::vector< double > >	find (const std::vector< double > &v)=0
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 577 of file knn.h.

Constructor & Destructor Documentation

KnnFriedman()

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

inline

Definition at line 580 of file knn.h.

References aims::knn::Knn::Knn().

Referenced by aims::knn::KnnGlobalFriedman::KnnGlobalFriedman().

~KnnFriedman()

virtual aims::knn::KnnFriedman::~KnnFriedman ( )

inlinevirtual

Definition at line 583 of file knn.h.

Member Function Documentation

find()

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

pure virtual

Implements aims::knn::Knn.

Implemented in aims::knn::KnnGlobalFriedman.

precompute()

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

pure virtual

Implemented in aims::knn::KnnGlobalFriedman.

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

• aims/math/knn.h