This project demonstrates how to estimate the parameters of a Gaussian Mixture Model (GMM) using the Expectation-Maximization (EM) algorithm. Implementation details can be found in report.pdf.
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Implements the Expectation-Maximization algorithm to estimate the parameters of a Gaussian Mixture Model.
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