Gaussian mixture model parameter estimation with prior hyper parameters

Version 1.0.0.0 (3,09 KB) von Rini
Gaussian mixture model using prior hyper parameters based on Expectation Maximization.
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There are quite a few Expectation Maximization based Gaussian mixture models. However, the models do not set any prior for mean and variance. I have implemented a 1D GMM inspired by Chris McCormick. Such a model can be helpful in cases where the data range is small and will prevent kernel overlap by restricting the kernels around the prior values.

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Rini (2024). Gaussian mixture model parameter estimation with prior hyper parameters (https://www.mathworks.com/matlabcentral/fileexchange/52775-gaussian-mixture-model-parameter-estimation-with-prior-hyper-parameters), MATLAB Central File Exchange. Abgerufen .

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GMM_withPrior/

Version Veröffentlicht Versionshinweise
1.0.0.0