Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
exponential term in multivariate_normal delta = np.array(d) — means[k] inv = np.linalg.inv(covs[k]) exponent_term = np.dot (delta.T, np.dot (inv, delta)) # Compute loglikelihood contribution for this data point and this cluster Z[k] += np.log (weights[k]) det = np.linalg.det(covs[k]) Z[k] -= 1/2. *