aimsalgo 6.0.0
Neuroimaging image processing
aims::knn::KnnBruteForce Class Reference

#include <aims/math/knn.h>

Inheritance diagram for aims::knn::KnnBruteForce:
Collaboration diagram for aims::knn::KnnBruteForce:

Public Member Functions

 KnnBruteForce (Database &db, unsigned int k, Distance *distance=new SquaredEuclidianDistance())
 
virtual ~KnnBruteForce ()
 
virtual std::pair< std::vector< unsigned int >, std::vector< double > > find (const std::vector< double > &v)
 
- 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 565 of file knn.h.

Constructor & Destructor Documentation

◆ KnnBruteForce()

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

Definition at line 568 of file knn.h.

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

◆ ~KnnBruteForce()

virtual aims::knn::KnnBruteForce::~KnnBruteForce ( )
inlinevirtual

Definition at line 571 of file knn.h.

Member Function Documentation

◆ find()

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

Implements aims::knn::Knn.


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