[jira] [Updated] (MATH-817) Multivariate Normal Mixture Model Fitting by Expectation Maximization

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[jira] [Updated] (MATH-817) Multivariate Normal Mixture Model Fitting by Expectation Maximization

Walter Laan (Jira)

     [ https://issues.apache.org/jira/browse/MATH-817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jared Becksfort updated MATH-817:

    Attachment: MultivariateNormalMixtureExpectationMaximizationFitterTest.java


I have attached a new version of the EM fitting code. It is much cleaner because of your suggestions.  The modified files are in the patch file.  The nonversioned files are attached separately.

Let me know if you need anything else.


> Multivariate Normal Mixture Model Fitting by Expectation Maximization
> ---------------------------------------------------------------------
>                 Key: MATH-817
>                 URL: https://issues.apache.org/jira/browse/MATH-817
>             Project: Commons Math
>          Issue Type: New Feature
>            Reporter: Jared Becksfort
>            Priority: Minor
>         Attachments: math_817.patch, MultivariateNormalMixtureExpectationMaximizationFitter.java, MultivariateNormalMixtureExpectationMaximizationFitterTest.java
>   Original Estimate: 1m
>  Remaining Estimate: 1m
> I will submit a class for fitting Multivariate Normal Mixture Models using Expectation Maximization.
> > Hello,
> >
> > I have implemented some classes for multivariate Normal distributions, multivariate normal mixture models, and an expectation maximization fitting class for the mixture model.  I would like to submit it to Apache Commons Math.  I still have some touching up to do so that they fit the style guidelines and implement the correct interfaces.  Before I do so, I thought I would at least ask if the developers of the project are interested in me submitting them.
> >
> > Thanks,
> > Jared Becksfort
> Dear Jared,
> Yes, that would be very nice to have such an addition! Remember to also include unit tests (refer to the current ones for examples). The best would be to split a submission up into multiple minor ones, each covering a natural submission (e.g. multivariate Normal distribution in one submission), and create an issue as described at http://commons.apache.org/math/issue-tracking.html .
> If you run into any problems, please do not hesitate to ask on this mailing list.
> Cheers, Mikkel.

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