Expectation Maximization Algorithm with Gaussian Mixture Model
Versión 1.1 (27,6 KB) por
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
Citar como
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. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2011a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection > Gaussian Mixture Models >
Más información sobre Gaussian Mixture Models en Help Center y MATLAB Answers.
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Inspiración para: Gaussian mixture model parameter estimation with prior hyper parameters
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Versión | Publicado | Notas de la versión | |
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1.1 | Toolbox for R2014b |
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1.0.0.0 |