KNN Class Reference

K-Nearest Neighbours Algorithm. More...

#include <KNN.h>

Public Member Functions
neighVector	run (const Descriptor &individual, const vector< Descriptor > &neighbours, Distance< float > *metric, const int &k=3)
	Computes the KNN algorithm for the individual Returns the k nearest neighbours Ss in a vector. More...
neighMatrix	run (const vector< Descriptor > &population, Distance< float > *metric, const int &k=3)
	Computes the KNN for the entire vector of individuals given. More...

Detailed Description

K-Nearest Neighbours Algorithm.

Member Function Documentation

run() [1/2]

neighVector KNN::run	(	const Descriptor &	individual,
		const vector< Descriptor > &	neighbours,
		Distance< float > *	metric,
		const int &	k = 3
	)

Computes the KNN algorithm for the individual Returns the k nearest neighbours Ss in a vector.

Template Parameters

T
S

Parameters

individual
neighbours
metric
k

Returns

vector

run() [2/2]

neighMatrix KNN::run	(	const vector< Descriptor > &	population,
		Distance< float > *	metric,
		const int &	k = 3
	)

Computes the KNN for the entire vector of individuals given.

Template Parameters

S
T

Parameters

population
metric
k

Returns

neighMatrix<T>

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

• include/dignea/utilities/KNN.h
• src/dignea/utilities/KNN.cpp