global.h

来自「该程序包实现了三个模式识别的聚类算法」· C头文件 代码 · 共 125 行

#ifndef _GLOBAL_H
#define _GLOBAL_H 1

typedef double DOUBLE; 

class   CSampleData
{
	public:
		CSampleData();
		~CSampleData();
		bool readFile(char* fileName);
		bool normalize();
		bool writeFile(char* fileName);
		int searchClassName(char* className);
	public:
		int numClass;
		int numFeature;
		int numSample;
		char** nameClass;
		DOUBLE* xdata;
		int* ydata;
		DOUBLE* maxValue;
		DOUBLE* minValue;
};

class   CKnn
{
	public:
		CKnn();
		~CKnn();
		bool train(char* fileName);
		DOUBLE crossValidation(char* fileName);
		bool test(char* fileName);
	public:
		CSampleData sdata;
		int paramK;
		DOUBLE* resultTotal;
		DOUBLE* resultRight;
};

class   CClustering
{
	public:
		CClustering();
		~CClustering();
		bool train(char* fileName);
		bool test(char* fileName);
	public:
		CSampleData sdata;
		int num;
		DOUBLE* xdata;
		int* ydata;
		DOUBLE* resultTotal;
		DOUBLE* resultRight;
};

class   CLvq
{
	public:
		CLvq();
		~CLvq();
		bool train(char* fileName);
		bool test(char* fileName);
	public:
		CSampleData sdata;
		int num;
		DOUBLE alpha0;
		DOUBLE* xdata;
		int* ydata;
		DOUBLE* resultTotal;
		DOUBLE* resultRight;
};

class   CLvq2
{
	public:
		CLvq2();
		~CLvq2();
		bool train(char* fileName);
		bool test(char* fileName);
	public:
		CSampleData sdata;
		int num;
		DOUBLE alpha0;
		DOUBLE* xdata;
		int* ydata;
		DOUBLE* resultTotal;
		DOUBLE* resultRight;
};

class   CGlvq
{
	public:
		CGlvq();
		~CGlvq();
		bool train(char* fileName);
		bool test(char* fileName);
	public:
		CSampleData sdata;
		int num;
		DOUBLE alpha0;
		DOUBLE* xdata;
		int* ydata;
		DOUBLE* resultTotal;
		DOUBLE* resultRight;
};

class   CGlvq2
{
	public:
		CGlvq2();
		~CGlvq2();
		bool train(char* fileName);
		bool test(char* fileName);
	public:
		CSampleData sdata;
		int num;
		DOUBLE alpha0;
		DOUBLE* xdata;
		int* ydata;
		DOUBLE* resultTotal;
		DOUBLE* resultRight;
};

#endif