classifier_knn.hpp File Reference

Implements k-Nearest Neighbor classifier. More...

#include <boost/smart_ptr.hpp>
#include <iostream>
#include <cmath>
#include <list>
#include "classifier.hpp"
#include "error.hpp"
#include "global.hpp"

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Classes
class	FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >
	Implements k-Nearest Neighbor classifier. More...
class	FST::Classifier_kNN< RETURNTYPE, DATATYPE, IDXTYPE, DIMTYPE, SUBSET, DATAACCESSOR, DISTANCE >::Neighbour
	Holds information on distance and data-class membership of neighbors processed in Classifier_kNN. More...

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Detailed Description

Implements k-Nearest Neighbor classifier.

====================================================================== Feature Selection Toolbox 3 source code ---------------------------------------

Author:

Petr Somol (somol@utia.cas.cz) with collaborators, see Contacts at http://fst.utia.cz

Date:

March 2011

Version:

3.1.0.beta

Note:

FST3 was developed using gcc 4.3 and requires

• Boost library (http://www.boost.org/, tested with versions 1.33.1 and 1.44),

• (optionally) LibSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/, tested with version 3.00)

Note that LibSVM is required for SVM related tools only, as demonstrated in demo12t.cpp, demo23.cpp, demo25t.cpp, demo32t.cpp, etc.