Class LDA

Linear Discriminant Analysis

Inheritance
System.Object
DisposableObject
DisposableCvObject
LDA
Implements
Inherited Members
Namespace: OpenCvSharp
Assembly: OpenCvSharp.dll
Syntax
public class LDA : DisposableCvObject, ICvPtrHolder

Constructors

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LDA(InputArray, InputArray, Int32)

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.

Declaration
public LDA(InputArray src, InputArray labels, int numComponents = 0)
Parameters
Type Name Description
InputArray src
InputArray labels
System.Int32 numComponents
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LDA(Int32)

constructor

Declaration
public LDA(int numComponents = 0)
Parameters
Type Name Description
System.Int32 numComponents

Methods

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Compute(InputArray, InputArray)

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

Declaration
public void Compute(InputArray src, InputArray labels)
Parameters
Type Name Description
InputArray src
InputArray labels
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DisposeUnmanaged()

Releases unmanaged resources

Declaration
protected override void DisposeUnmanaged()
Overrides
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Eigenvalues()

Returns the eigenvalues of this LDA.

Declaration
public Mat Eigenvalues()
Returns
Type Description
Mat
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Eigenvectors()

Returns the eigenvectors of this LDA.

Declaration
public Mat Eigenvectors()
Returns
Type Description
Mat
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Load(FileStorage)

Deserializes this object from a given cv::FileStorage.

Declaration
public void Load(FileStorage node)
Parameters
Type Name Description
FileStorage node
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Load(String)

Deserializes this object from a given filename.

Declaration
public void Load(string fileName)
Parameters
Type Name Description
System.String fileName
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Project(InputArray)

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

Declaration
public Mat Project(InputArray src)
Parameters
Type Name Description
InputArray src
Returns
Type Description
Mat
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Reconstruct(InputArray)

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

Declaration
public Mat Reconstruct(InputArray src)
Parameters
Type Name Description
InputArray src
Returns
Type Description
Mat
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Save(FileStorage)

Serializes this object to a given cv::FileStorage.

Declaration
public void Save(FileStorage fs)
Parameters
Type Name Description
FileStorage fs
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Save(String)

Serializes this object to a given filename.

Declaration
public void Save(string fileName)
Parameters
Type Name Description
System.String fileName
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SubspaceProject(InputArray, InputArray, InputArray)

Declaration
public static Mat SubspaceProject(InputArray w, InputArray mean, InputArray src)
Parameters
Type Name Description
InputArray w
InputArray mean
InputArray src
Returns
Type Description
Mat
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SubspaceReconstruct(InputArray, InputArray, InputArray)

Declaration
public static Mat SubspaceReconstruct(InputArray w, InputArray mean, InputArray src)
Parameters
Type Name Description
InputArray w
InputArray mean
InputArray src
Returns
Type Description
Mat

Implements