#ifndef KMEANS_H_#define KMEANS_H_class KMeans{private:	double** buffer;	//double** optSolution;	int number;	int dimension;	//data strure for accelerated k-means	int* belongings;	int* ranks;	double* differences;	double* quadPara;	double* linearPara;	double* constPara;	int oldSmallCluster;	int newSmallCluster;	//statistics	int naiveIterateTime;	int boundIterateTime;	int clusterTime;	int iterateTime;	int stopTime;	//common functions	double GetCost(double** centers, int k);	double GetDistSqu(double* p1, double* p2);	void OutputSolution(double** solution, int k);	//original k-means algorithm functions	double OneCluster(double** tempSolution, int k);	int OneIterate(double** tempSolution, int k);	//accelerated k-means algorithm functions	double AccOneCluster(double** tempSolution, int k, double optCost);	int AccIterate(double** tempSolution, int k, double optCost);	double LowerBound(double currentCost, double lowerDelta,						  double upperDelta);	void QuickSort(int left, int right);	void swap(int* array, int left, int right);public:	KMeans(double** buf, int num, int dim);	~KMeans();	//original k-mean algorithm	void Cluster(double** optSolution, int k, int randomNum, int time);	//accelerated k-means algorithm	void AccCluster(double** optSolution, int k, int randomNum, int time);};#endif