Machine Learning, Education, Scikit Learn, Unsupervised Learning, Clustering.
matrices where X is the matrix of observations, the covariance matrix is as follows: Quick recap: matrices, as linear operators, have eigenvalues and eigenvectors. They are very convenient because they describe parts of our space that do not rotate and only stretch when we apply linear operators on