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Dependents: RZ_A2M_Mbed_samples
LDA Class Reference
[Operations on arrays]
Linear Discriminant Analysis. More...
#include <core.hpp>
Public Member Functions | |
| LDA (int num_components=0) | |
| constructor Initializes a LDA with num_components (default 0). | |
| 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. | |
| void | save (const String &filename) const |
| Serializes this object to a given filename. | |
| void | load (const String &filename) |
| Deserializes this object from a given filename. | |
| void | save (FileStorage &fs) const |
| Serializes this object to a given cv::FileStorage. | |
| void | load (const FileStorage &node) |
| Deserializes this object from a given cv::FileStorage. | |
| ~LDA () | |
| destructor | |
| void | compute (InputArrayOfArrays src, InputArray labels) |
| Compute the discriminants for data in src (row aligned) and labels. | |
| Mat | project (InputArray src) |
| Projects samples into the LDA subspace. | |
| Mat | reconstruct (InputArray src) |
| Reconstructs projections from the LDA subspace. | |
| Mat | eigenvectors () const |
| Returns the eigenvectors of this LDA. | |
| Mat | eigenvalues () const |
| Returns the eigenvalues of this LDA. | |
Detailed Description
Linear Discriminant Analysis.
Definition at line 2468 of file core.hpp.
Constructor & Destructor Documentation
| LDA | ( | int | num_components = 0 ) |
[explicit] |
constructor Initializes a LDA with num_components (default 0).
| 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 | ( | ) |
destructor
Member Function Documentation
| void compute | ( | InputArrayOfArrays | src, |
| InputArray | labels | ||
| ) |
Compute the discriminants for data in src (row aligned) and labels.
| Mat eigenvalues | ( | ) | const |
| Mat eigenvectors | ( | ) | const |
| void load | ( | const String & | filename ) |
Deserializes this object from a given filename.
| void load | ( | const FileStorage & | node ) |
Deserializes this object from a given cv::FileStorage.
| Mat project | ( | InputArray | src ) |
Projects samples into the LDA subspace.
src may be one or more row aligned samples.
| Mat reconstruct | ( | InputArray | src ) |
Reconstructs projections from the LDA subspace.
src may be one or more row aligned projections.
| void save | ( | FileStorage & | fs ) | const |
Serializes this object to a given cv::FileStorage.
| void save | ( | const String & | filename ) | const |
Serializes this object to a given filename.
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