Explore MATLAB source code curated for "期望最大化算法" with clean implementations, documentation, and examples.
A custom MATLAB implementation of the Expectation Maximization (EM) algorithm, featuring detailed execution methods and program explanations. This resource provides particularly valuable assistance for beginners learning this algorithm.
Expectation-Maximization Algorithm for Maximum Likelihood Estimation of Gaussian Mixture Models
The EM (Expectation-Maximization) algorithm is a widely used approach for parameter estimation, serving as an alternative to maximum likelihood estimation when dealing with incomplete data samples. It involves iterative optimization steps that progressively refine parameter values through expectation (E-step) and maximization (M-step) phases.