aims::knn::Knn Class Reference

#include <aims/math/knn.h>

Inheritance diagram for aims::knn::Knn:

Collaboration diagram for aims::knn::Knn:

Public Member Functions
	Knn (Database &db, unsigned int k, Distance *distance=new SquaredEuclidianDistance())
virtual	~Knn ()
virtual std::pair< std::vector< unsigned int >, std::vector< double > >	find (const std::vector< double > &v)=0

Protected Attributes
Database &	_db
	database wrapper of data More...
unsigned int	_k
	k : number of nearest neighbours More...
Distance *	_distance
	distance used in nearest neighbours computations More...
int	_distance_n
	number of computed distance More...

Detailed Description

Definition at line 543 of file knn.h.

Constructor & Destructor Documentation

Knn()

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

inline

Definition at line 546 of file knn.h.

~Knn()

virtual aims::knn::Knn::~Knn ( )

inlinevirtual

Definition at line 549 of file knn.h.

Member Function Documentation

find()

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

pure virtual

Implemented in aims::knn::KnnFriedman, aims::knn::KnnGlobalFriedman, and aims::knn::KnnBruteForce.

Member Data Documentation

_db

Database& aims::knn::Knn::_db

protected

database wrapper of data

Definition at line 556 of file knn.h.

_distance

Distance* aims::knn::Knn::_distance

protected

distance used in nearest neighbours computations

Definition at line 560 of file knn.h.

_distance_n

int aims::knn::Knn::_distance_n

protected

number of computed distance

Definition at line 562 of file knn.h.

_k

unsigned int aims::knn::Knn::_k

protected

k : number of nearest neighbours

Definition at line 558 of file knn.h.

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

• aims/math/knn.h