Expectation Maximization Algorithm with Gaussian Mixture Model
Version 1.1 (27.6 KB) by
Shujaat Khan
Matlab Implementation of EM Algorithm with GMM
Implementation of Expectation Maximization algorithm for Gaussian Mixture model,
considering data of 20 points and modeling that data using two Gaussian distribution using EM algorithm
Cite As
Shujaat Khan (2024). Expectation Maximization Algorithm with Gaussian Mixture Model (https://www.mathworks.com/matlabcentral/fileexchange/45817-expectation-maximization-algorithm-with-gaussian-mixture-model), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2011a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection > Gaussian Mixture Models >
Find more on Gaussian Mixture Models in Help Center and MATLAB Answers
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Acknowledgements
Inspired: Gaussian mixture model parameter estimation with prior hyper parameters
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Version | Published | Release Notes | |
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1.1 | Toolbox for R2014b |
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1.0.0.0 |