Re: MultivariateNormalMixtureExpectationMaximization only 1 dimension

Forgive me if this comes in twice... I did not subscribe first before sending the message below.


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From: Craig Brautigam
Sent: Monday, March 4, 2024 1:33 PM
To: [email protected] <[email protected]>
Subject: MultivariateNormalMixtureExpectationMaximization only 1 dimension

Hi,

Full disclosure, I'm not a mathematician so I can not go into the weeds into the math.  However I am tasked with porting some matlab code that is doing gaussian mixed model to java.  I really want to use apache common math if possible.  However the code that I'm porting has 1 dimension ( a single variable/attribute/property) that GMMs are being created from.

MultivariateNormalMixtureExpectationMaximization looks to be a pretty close drop in replacement for the matlab functions https://www.mathworks.com/help/stats/fitgmdist.html<https://www.mathworks.com/help/stats/fitgmdist.html> andhttps://www.mathworks.com/help/stats/gmdistribution.html, however the constructor for MultivariateNormalMixtureExpectationMaximization clearly states the the number of columns in the double[][]data array MUST be no less thatn2 columns.  I'm completely baffled as to why this is the case if I want to try to fit data with 1 dimension in it.  Is there a workaround I can use like provide a dummy column of data with all 0s to pacify the constructor? Is there another class I should be using?

Any help would be greatly appreciated.

Thx!


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