Data Science, Unsupervised Learning, Machine Learning, Gaussian Mixture Model, Coding.
learning problems in terms of implementation. The solution to the M-steps often exists in the closed-form. It is always guaranteed that the value of likelihood will increase after each iteration. Disadvantages It has slow convergence. It is sensitive to starting point, converges to the local