Class AlgorithmLDA2

java.lang.Object
  Algorithm
      AlgorithmLDA2

All Implemented Interfaces:

java.lang.Runnable

public class AlgorithmLDA2
extends Algorithm

Implements the class dependent Linear Discriminant Algorithm

Constructor Summary

AlgorithmLDA2()

Method Summary

void	betweenClass1(Matrix M1, Matrix M2, Matrix M3, Matrix M4) Determines the between class scatter matrix for the class dependent linear discrimination algorithm
void	computeDecisionRegions() method computes the line of discrimination for class dependent LDA
void	computeErrors() Counts the data points in each set in error and displays them on the text message window
boolean	initialize() Overrides the initialize() method in the base class.
void	printMatrices() Display two matrices - covariance matrix and the transformation matrix in the text message window
void	run() Implementation of the run function from the Runnable interface.
void	transformLDA1(Matrix S1, Matrix S2, Matrix S3, Matrix S4) Transforms a given set of points to a new space using the class dependent linear discrimination analysis algorithm
void	withinClass(Matrix M) Determines the within class scatter matrix

Methods inherited from class Algorithm

computeMeans, disableControl, enableControl, nextStep, prevStep, scaleToFitData, setDataPoints, setOutputPanel, setProcessBox

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AlgorithmLDA2

public AlgorithmLDA2()

Method Detail

initialize

public boolean initialize()

Overrides the initialize() method in the base class. Initializes member data and prepares for execution of first step. This method "resets" the algorithm.

Specified by:

initialize in class Algorithm

Returns:

Returns true

run

public void run()

Implementation of the run function from the Runnable interface. Determines what the current step is and calls the appropriate method.

Specified by:

run in interface java.lang.Runnable

Specified by:

run in class Algorithm

transformLDA1

public void transformLDA1(Matrix S1,
                          Matrix S2,
                          Matrix S3,
                          Matrix S4)

Transforms a given set of points to a new space using the class dependent linear discrimination analysis algorithm

Parameters:

S1 - covariance matrix of the first class

S2 - covariance matrix of the second class

S3 - covariance matrix of the third class

S4 - covariance matrix of the fourth class

See Also:

Matrix

withinClass

public void withinClass(Matrix M)

Determines the within class scatter matrix

Parameters:

M - Matrix storing within class scatter matrix

See Also:

Matrix

computeDecisionRegions

public void computeDecisionRegions()

method computes the line of discrimination for class dependent LDA

betweenClass1

public void betweenClass1(Matrix M1,
                          Matrix M2,
                          Matrix M3,
                          Matrix M4)

Determines the between class scatter matrix for the class dependent linear discrimination algorithm

Parameters:

M1 - between class scatter matrix for the first class

M2 - between class scatter matrix for the second class

M3 - between class scatter matrix for the third class

M4 - between class scatter matrix for the fourth class

computeErrors

public void computeErrors()

Counts the data points in each set in error and displays them on the text message window

printMatrices

public void printMatrices()

Display two matrices - covariance matrix and the transformation matrix in the text message window