Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
responsibilities over each data point and normalize row_sums = resp.sum(axis=1)[:, np.newaxis] resp = resp / row_sums return resp create your numpy array of observations and call this method with returned parameter by em as shown in (2) and pass it to this function you will get the soft assignment