2.1.24.5.2.11 ocmath_para_gaussmix

1 Description
2 Syntax
3 Parameters
4 Return
5 Examples
6 Remark
7 See Also
8 Header to Include
9 Reference

Description

Estimate parameters for Gaussian Mixture distribution

Syntax

int ocmath_para_gaussmix(int iSize, const double * pData, double * pPara, int * pnG, GaussMixVar nVar, bool bOpt, int riter, double * pAD = NULL, double * pBIC = NULL, int nPercents = 0, const double * pPercents = NULL, double * pXp = NULL, double * pPval = NULL, bool bMC = false)

Parameters

iSize: [input]input data size
pData: [input]input data
pPara: [output]weight, mean, standard deviation for each component in the mixture
pnG: [input/output]number of groups
nVar: [input]

enum GaussMixVar
{
	var_Group      = 0,
	var_Pooled     = 1,
	var_GroupDiag  = 2,
	var_PooledDiag = 3,
	var_Overall    = 4,
};

bOpt: [input]true to find the best number of components, ng: the maximum number of components; false to use the specified number of components ng
riter: [input]membership probabilities are rounded to 0 or 1 after every riter iterations, -1 means not rounded
pAD: [output]Anderson-Darling statistic
pBIC: [output]BIC
nPercents: [input]number of Percents
pPercents: [input] Percents
pXp: [output]XP
pPval: [output]P-value
bMC: [input]true to calculate AD and Pval by Monte Carlo