cv::LDA クラス

Linear Discriminant Analysis [詳解]

#include <core.hpp>

公開メンバ関数
	LDA (int num_components=0)
	constructor Initializes a LDA with num_components (default 0).
	LDA (InputArrayOfArrays src, InputArray labels, int num_components=0)
void	save (const String &filename) const
void	load (const String &filename)
void	save (FileStorage &fs) const
void	load (const FileStorage &node)
	~LDA ()
void	compute (InputArrayOfArrays src, InputArray labels)
Mat	project (InputArray src)
Mat	reconstruct (InputArray src)
Mat	eigenvectors () const
Mat	eigenvalues () const

静的公開メンバ関数
static Mat	subspaceProject (InputArray W, InputArray mean, InputArray src)
static Mat	subspaceReconstruct (InputArray W, InputArray mean, InputArray src)

限定公開メンバ関数
void	lda (InputArrayOfArrays src, InputArray labels)

限定公開変数類
int	_num_components
Mat	_eigenvectors
Mat	_eigenvalues

詳解

Linear Discriminant Analysis

todo:

document this class

構築子と解体子

LDA()

cv::LDA::LDA	(	InputArrayOfArrays	src,
		InputArray	labels,
		int	num_components = 0
	)

Initializes and performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels. If 0 (or less) number of components are given, they are automatically determined for given data in computation.

~LDA()

cv::LDA::~LDA

(

)

destructor

関数詳解

compute()

void cv::LDA::compute	(	InputArrayOfArrays	src,
		InputArray	labels
	)

Compute the discriminants for data in src (row aligned) and labels.

eigenvalues()

Mat cv::LDA::eigenvalues ( ) const

inline

Returns the eigenvalues of this LDA.

eigenvectors()

Mat cv::LDA::eigenvectors ( ) const

inline

Returns the eigenvectors of this LDA.

load() [1/2]

void cv::LDA::load

(

const FileStorage &

node

)

Deserializes this object from a given cv::FileStorage.

load() [2/2]

void cv::LDA::load

(

const String &

filename

)

Deserializes this object from a given filename.

project()

Mat cv::LDA::project

(

InputArray

src

)

Projects samples into the LDA subspace. src may be one or more row aligned samples.

reconstruct()

Mat cv::LDA::reconstruct

(

InputArray

src

)

Reconstructs projections from the LDA subspace. src may be one or more row aligned projections.

save() [1/2]

void cv::LDA::save

(

const String &

filename

)

const

Serializes this object to a given filename.

save() [2/2]

void cv::LDA::save

(

FileStorage &

fs

)

const

Serializes this object to a given cv::FileStorage.

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このクラス詳解は次のファイルから抽出されました:

• core.hpp