www.pudn.com > EMGMM.rar > gaussian.h

#include "KMEANS.h" 
//using   namespace   std; 
class Gaussian 
{ 
public: 
	double *devia; 
	double *mean; 
	double *a; 
 
	double **samplelist; 
	int NumPatterns; 
	int SizeVector; 
	int NumMixture; 
 
	int *clu_idx; 
	int *num_samples_clu; 
 
	CKmeans m_kmeans; 
	double result; 
	void erhand(char err_msg[]); 
	double ** matrix(int n,int m); 
	double * vect(int n); 
	void Classifier(double *vector); 
	void Initialize(char *fname); 
	void GaussEM(double **samples, int num_samples, int vec_size, int num_cluster, int *cluster_index,int* num_samples_in_clusters,double *means,double* delta,double* weight,int maxIter); 
	void Cal_mean_delta(double *data,aCluster *Clus,double *Uni_mean,double *Uni_devia); 
 
	double ComputeUniModeGauss(double* vect, double* mu, double* inv_var, double log_var_val, int vect_size); 
	double ComputeGaussMixture(double* vect, double* mu, double* inv_var, double* log_var_val, int vect_size, double* weight, int num_mix ); 
};