Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
* k) # initiate covariance metrix with diagonal element is covariance of data weights = np.array([1/ k] * k) # initialize equal weight to all clusters return em_from_parameter(data, means, covariances, weights) images_path = [‘../image2.jpg’, ‘../image2.jpg’, … ] # list of image path