// Filename: "cVQ.h"

#ifndef CVQ_H
#define CVQ_H

#include "maincode.h"
#include "cCluster.h"

#include <iostream>
#include <cmath>

class cVQ
{

private:
    cCluster    Cluster[MAXCLUSTER];
    int         NumPatterns;              //Number of patterns
    int         SizeVector;               //Number of dimensions in vector
    int         NumClusters;              //Current number of clusters
    double      Threshold;

    void    cVQ::Attach(int c,int p);
    int     AllocateCluster(); //Adds a pattern to a cluster's membership list.
    //Find cluster center for modified clusters
    void cVQ::CalcNewClustCenter(int c, double Pattern[MAXPATTERN][MAXVECTDIM]);
    //Calculates Euclidean norm vector.
    double cVQ::EucNorm(int p, int c, double Pattern[MAXPATTERN][MAXVECTDIM]);
    //Returns index of the cluster closest to pattern whose index is pat.
    int cVQ::FindClosestCluster(int pat, double Pattern[MAXPATTERN][MAXVECTDIM]);

public:
    cVQ::cVQ(int nPatterns, int vSize, double vThreshold);
    //Control overall Vector Quant process
    void    cVQ::RunVQ(double Pattern[MAXPATTERN][MAXVECTDIM]);
    cCluster cVQ::getCluster(int index);
    int     cVQ::getNumClusters();

}; // end cCluster class.

#endif