/* 該程序?qū)崿F(xiàn)了PCA和LDA特征提取算法，作者 mallat-fans */
#include "global.h"
#include <iostream>
using namespace std;

void main()
{
	char* trainFileName = "D:/Cpgm/testData/featureex/org-iris-train.data";//原始訓(xùn)練樣本
	char* newTrainFileName = "D:/Cpgm/testData/featureex/new-iris-train.data";//特征提取后的訓(xùn)練樣本
	char* testFileName = "D:/Cpgm/testData/featureex/org-iris-test.data";//原始測試樣本
	char* newTestFileName = "D:/Cpgm/testData/featureex/new-iris-test.data";//特征提取后的測試樣本
	CPca cpca;
	cpca.numF = 3;//設(shè)置提取后的維數(shù)
	cpca.extract(trainFileName, newTrainFileName, testFileName, newTestFileName);
	CLda clda;
	clda.numF = 3;//設(shè)置提取后的維數(shù)
	clda.extract(trainFileName, newTrainFileName, testFileName, newTestFileName);
}