EM: A EM algorithm for Gaussian mixture models

In zheng017/SC19062: Two functions with homework answers

Description

A EM algorithm for Gaussian mixture models

Usage

EM(x, mu, sigma1, sigma2, prop)

Arguments

x	e
mu	initial mean
sigma1	initial sigma1
sigma2	initial sigma2
prop	initial proportion

Value

estimates

Examples

## Not run: 
mu<-matrix(c(2,4,50,80),2,2)
sigma1<-matrix(c(1,0,0,1),2,2)
sigma2<-matrix(c(1,0,0,1),2,2)
prop<-c(0.5,2)
EM(data,mu,sigma1,sigma2,prop)

## End(Not run)

zheng017/SC19062 documentation built on Jan. 2, 2020, 12:53 a.m.