Em Algorithm, Statistics, Machine Learning, Clustering Algorithm, Python.
keepdims=1) return log_likelihood Then, for the third step, we reparametrize the parameters based on the w calculated in step 2. We can use these formulas to calculate parameters. The parameter update formulas def m_step(self, X): """ Maximization step (M-step) Parameters ---------- X: np.array