class DirectLDATrainer

This class is designed to compute Direct Linear Discriminant Analysis

Inheritance:


Public Methods

[more] DirectLDATrainer(int n_classes_, LDAMachine* machine_)
[more]virtual void train(DataSet* data_, MeasurerList* measurers_ = NULL)
[more]virtual ~DirectLDATrainer()


Inherited from LDATrainer:

Public Fields

oint n_inputs
oint n_classes
oMat* Sb
oMat* Sw
oreal** mean_
oreal* mean_class_mean_
oreal* d_m_mean_
oVec* eigenvalues
oreal* eigenvalues_
oMat* eigenvectors
oreal** eigenvectors_
oint verbose_level
obool classprovided
obool within_is_identity
obool save

Public Methods

ovoid makeSbSw(DataSet* data_)


Documentation

This class is designed to compute Direct Linear Discriminant Analysis

This class implements Fisher discriminant analysis.

o DirectLDATrainer(int n_classes_, LDAMachine* machine_)

ovirtual void train(DataSet* data_, MeasurerList* measurers_ = NULL)

ovirtual ~DirectLDATrainer()


This class has no child classes.
Author:
Sebastien Marcel (marcel@idiap.ch) Fri 15 Jul 2005 11:35:25 AM CEST
Version:
2.0
Since:
1.0

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