# Em Algorithm Matlab Code

The following matlab project contains the source code and matlab examples used for em algorithm.

# Em algorithm i.i.d. mixture distribution in matlab

The following Matlab project contains the source code and Matlab examples used for em algorithm i.i.d. mixture distribution. This function infers the unobserved regimes and provides estimates for the parameters of a Gaussian mixture with two states using the EM algorithm.

# Em algorithm for clustering (emfc) in matlab

The following Matlab project contains the source code and Matlab examples used for em algorithm for clustering (emfc). It works just fine, download it only if you re ok with programming. You will have to know what EM is before downloading it.

# 3d visualization of gmm learning via the em algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for 3d visualization of gmm learning via the em algorithm. This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.

# Em algorithm for gaussian mixture model with background noise in matlab

The following Matlab project contains the source code and Matlab examples used for em algorithm for gaussian mixture model with background noise. This is the standard EM algorithm for GMMs, presented in Bishop's book "Pattern Recognition and Machine Learning", Chapter 9, with one small exception, the addition of a uniform distribution to the mixture to pick up background noise/speckle; data points which one would not want to associate with any cluster.

# Em algorithm for gaussian mixture model in matlab

The following Matlab project contains the source code and Matlab examples used for em algorithm for gaussian mixture model. This is a function tries to obtain the maximum likelihood estimation of Gaussian mixture model by expectation maximization (EM) algorithm.

# Image segmentation with em algorithm in matlab

The following Matlab project contains the source code and Matlab examples used for image segmentation with em algorithm. K means segmentation method has an underlying assumption that each element cannot belong to two clusters at the same time. 