---

OptMultiKMean.hpp

#ifndef __OptMultiKMean__
#define __OptMultiKMean__

#include "SeparateGaussianClassifier.hpp"
#include "RealSMatrix.hpp"

class OptMultiKMean : public SeparateGaussianClassifier
{
private:

int                             count;

RealVector*             sumX;                           // implicit eX
RealSMatrix*    sumXY;                          // implicit eXY

RealSMatrix*    K;                                      // covariance Matrix

bool                    optimizationFlag;
RealVector*             lambda;                         // eigenvalues
RealSMatrix*    E;                                      // eigenvectors

protected:

virtual void computeCovariance();
virtual void computeEigenvalues();
virtual void computeEigenvectors();

public:

OptMultiKMean(int n);
virtual ~OptMultiKMean(){delete sumX; delete sumXY; delete K; delete lambda; delete E;}

// learning
virtual void start();

virtual void learn(RealVector& value);
virtual void unlearn(RealVector& value);

virtual void end();

virtual int     numberOfCounts(){ return count; }

virtual void output()
        {
        printf("An Optimal Multi KMean");
        }                               
};

#endif

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

Bernard De Cuyper: Open Project Leader: Concept, design and development. Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only. Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.