knndiscriminanttraining.h

线形判别分析算法和knn最近邻算法的实现

// KNNDiscriminantTraining.h: interface for the KNNDiscriminantTraining class.
//
//////////////////////////////////////////////////////////////////////

#if !defined(AFX_KNNDISCRIMINANTTRAINING_H__736B0BA0_2662_49E1_B889_32673F0CDDBC__INCLUDED_)
#define AFX_KNNDISCRIMINANTTRAINING_H__736B0BA0_2662_49E1_B889_32673F0CDDBC__INCLUDED_

#if _MSC_VER > 1000
#pragma once
#endif // _MSC_VER > 1000
#include "LinearDiscriminantTraining.h"
#define KNN 3
typedef struct DistanceRecord
{
  int dest;
  double distance;
  DistanceRecord(int i,double j);
}DR;

class KNNDiscriminantTraining :public LinearDiscriminantTraining 
{
public:
	double TestingProcedure();
	int TrainingProcedure();
    double GetEulDistance(const vector <double>& s,const vector <double>& d);
protected:
	//int TrainingSingleClass(vector < vector<double> >& trainingGroup,int class_sign);
	int TestingSingleClass(vector < vector<double> >& trainingGroup,int class_sign);
private:
    ofstream out;
    int FindKnearestNeigh(vector< DR >& samp,int k);
    int ComputSingleClassRecongValue(vector< vector< DR > >& disRecord,
							 int class_sign);
    vector< vector<DR> > disRecord0;
    vector< vector<DR> > disRecord1;
    vector< vector<DR> > disRecord4;
    vector< vector<DR> > disRecord5;
    vector< vector<DR> > disRecord6;
    vector< vector<DR> > disRecord7;
    vector< vector<DR> > disRecord8;
    vector< vector<DR> > disRecord9;
};

#endif // !defined(AFX_KNNDISCRIMINANTTRAINING_H__736B0BA0_2662_49E1_B889_32673F0CDDBC__INCLUDED_)