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From "Jared Becksfort (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MATH-817) Multivariate Normal Mixture Model Fitting by Expectation Maximization
Date Thu, 07 Feb 2013 23:23:12 GMT

    [ https://issues.apache.org/jira/browse/MATH-817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13574052#comment-13574052
] 

Jared Becksfort commented on MATH-817:
--------------------------------------

{quote}
A typical example would be the number of components which the fitted mixture should contain.
Is it a parameter to be fixed at the fitter's construction?
{quote}

I think it will be best to supply data to the constructor and fitting parameters to the fit
method.  This would allow one object to fit the same data with different numbers of components
or initial means.  The data will be the large part, so it is probably best to initialize it
once and allow the user to fit it multiple times with varying parameters without reconstructing
an object.

That is how I will do it unless there is an objection.
                
> 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: AbstractMultivariateRealDistribution.java.patch, MixtureMultivariateRealDistribution.java.patch,
MultivariateNormalDistribution.java.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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