Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
'loglikelihood': l1_list, 'responsibility': resp, 'Iterations': it} return param So, all set now but what will be our initial parameter. There are many approaches we can go with. One way is to initialize all clusters weights equally i.e. (1/k) for each cluster where k is the total number of