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Gaussian Mixture Model

4.0 | 2 ratings Rate this file 10 Downloads (last 30 days) File Size: 4.3 KB File ID: #42283 Version: 1.0

Gaussian Mixture Model



The code finds out the parameters of a gaussian mixture model by Expectation-Maximization Algorithm.

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Gaussian Mixture model is used in many fields to model a training set of data owing to certain similarities among them. My code estimates the parameters of a Gaussian mixture model by taking in the training set of data as input and giving back the mean, covariance and mixing ratios as the output. The code might be slow because of its sequential nature but it does perform well than the original matlab code in case the amount of data is very large.

Required Products MATLAB
MATLAB release MATLAB 7.12 (R2011a)
Other requirements None
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Comments and Ratings (3)
15 Oct 2013 Ari

Ari (view profile)

28 Aug 2013 Ravi Shankar

How are you giving input argument ?

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27 Aug 2013 mutah

mutah (view profile)

??? Input argument "x" is undefined.

Error in ==> GM1model at 30
sizemat = size(x);


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