Expectation-Maximization Quiz (Medium)

How does the Expectation-Maximization (EM) algorithm work in the context of GMMs?

What does the ‘Expectation’ step in EM algorithm do in GMMs?

What does the ‘Maximization’ step in EM algorithm do in GMMs?

In the context of GMMs, how does the initialization strategy influence the convergence of the model?

What is a limitation of the Expectation-Maximization algorithm in GMM?

What parameter(s) are typically estimated during the Expectation step of the EM algorithm for GMMs?

Which of the following is a common stopping criterion for the Expectation-Maximization (EM) algorithm when applied to Gaussian Mixture Models?

What is a common approach to handle the problem of local maxima in the EM algorithm?

In the context of the Expectation Maximization (EM) algorithm, what does the term ‘latent variables’ refer to?

What type of algorithm is the Expectation Maximization (EM) algorithm?