Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
github repos ## check K_Mean folder in listed github repos path km = KM() means, dont_require = km.kmeans(data, k) # return centroids and cluster assignments cov = np.diag(np.var(data, axis=0)) # get covariance of data initialize by diagonal metrix of covariance of data covariances = np.array([cov]