Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
………..…………………………………………………………………………..(1) ########### Data generation ################ data = [] For path in images_path: data.append(get_image_feature(path)) data = np.array(data) Now our data is ready and the value of k i.e. number of the cluster is all personal choice. For simplicity I take k = 4