gov.sandia.cognition.statistics.distribution
Class MixtureOfGaussians

java.lang.Object
  extended by gov.sandia.cognition.statistics.distribution.MixtureOfGaussians

@PublicationReference(author="Wikipedia",
                      title="Mixture Model",
                      type=WebPage,
                      year=2009,
                      url="http://en.wikipedia.org/wiki/Mixture_model")
public class MixtureOfGaussians
extends Object

Creates a probability density function (pdf) comprising of a collection of MultivariateGaussian and corresponding prior probability distribution that a particular MultivariateGaussian generates observations. This is the "typical" example of a multi-modal distribution

Since:
1.0
Author:
krdixon

Nested Class Summary
static class MixtureOfGaussians.EMLearner
          An Expectation-Maximization based "soft" assignment learner.
static class MixtureOfGaussians.Learner
          A hard-assignment learner for a MixtureOfGaussians
static class MixtureOfGaussians.PDF
          PDF of the MixtureOfGaussians
 
Constructor Summary
MixtureOfGaussians()
           
 
Method Summary
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

MixtureOfGaussians

public MixtureOfGaussians()