Basic classification tools. More...

#include <CRNBasicClassify.h>

Static Public Member Functions
template<typename ConstIterator , typename std::enable_if< IsMetric< typename std::iterator_traits< ConstIterator >::value_type >::value, int >::type = 0>
static ClassifResult	NearestNeighbor (const typename std::iterator_traits< ConstIterator >::value_type &obj, ConstIterator begin, ConstIterator end)
	Finds the nearest neighbor in a set of objects. More...

template<typename T , typename std::enable_if< IsMetric< T >::value, int >::type = 0>
static ClassifResult	kNearestNeighbors (const T &obj, const Map &database, int k)
	Classify a sample using the k nearest neighbors. More...

template<typename T , typename std::enable_if< IsMetric< T >::value, int >::type = 0>
static ClassifResult	EpsilonNeighbors (const T &obj, const Map &database, double epsilon)
	Classify a sample using the k nearest neighbors. More...

Detailed Description

Basic classification tools.

Basic classifications tools

Author: Yann LEYDIER

Date: July 2008

Version: 0.2

Definition at line 47 of file CRNBasicClassify.h.

Member Function Documentation

template<typename T , typename std::enable_if< IsMetric< T >::value, int >::type = 0>

static ClassifResult crn::BasicClassify::EpsilonNeighbors	(	const T &	obj,
		const Map &	database,
		double	epsilon
	)

inlinestatic

Classify a sample using the k nearest neighbors.

Classify a sample using the k nearest neighbors

Exceptions

std::bad_cast	the map does not contain objects of the same type as obj
ExceptionRuntime	the sample is not of the same class as the model

Parameters

[in]	obj	the sample to classify
[in]	database	a map with key=label value=SVector of samples
[in]	epsilon	the maximal distance

Returns: the label of-, the distance to- and the nearest prototype whose class is most represented in the k nearest neighbors

Definition at line 156 of file CRNBasicClassify.h.

template<typename T , typename std::enable_if< IsMetric< T >::value, int >::type = 0>

static ClassifResult crn::BasicClassify::kNearestNeighbors	(	const T &	obj,
		const Map &	database,
		int	k
	)

inlinestatic

Classify a sample using the k nearest neighbors.

Classify a sample using the k nearest neighbors

Exceptions

std::bad_cast	the map does not contain objects of the same type as obj
ExceptionRuntime	the sample is not of the same class as the model

Parameters

[in]	obj	the sample to classify
[in]	database	a map with key=label value=SVector of samples
[in]	k	the number of nearest neighbors to taken into account

Returns: the label of-, the distance to- and the nearest prototype whose class is most represented in the k nearest neighbors

Definition at line 103 of file CRNBasicClassify.h.

template<typename ConstIterator , typename std::enable_if< IsMetric< typename std::iterator_traits< ConstIterator >::value_type >::value, int >::type = 0>

static ClassifResult crn::BasicClassify::NearestNeighbor	(	const typename std::iterator_traits< ConstIterator >::value_type &	obj,
		ConstIterator	begin,
		ConstIterator	end
	)

inlinestatic

Finds the nearest neighbor in a set of objects.

Finds the nearest neighbor in a set of objects

Exceptions

ExceptionProtocol	the sample is not metric
ExceptionRuntime	the sample is not of the same class as the model

Parameters

[in]	obj	the sample to classify
[in]	begin	an input iterator to a pointer to the first prototype
[in]	end	an input iterator after the last prototype

Returns: the index of-, the distance to- and the nearest neighbor

Definition at line 66 of file CRNBasicClassify.h.

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

/home/travis/build/Liris-Pleiad/libcrn/src/libcrn/CRNAI/CRNBasicClassify.h

Static Public Member Functions

Detailed Description

Member Function Documentation