Machine Learning, Tutorial, Dimensionality Reduction, Deep Learning, Python.
covariance matrix. Decompose the covariance matrix into its eigenvectors and eigenvalues. Sort the eigenvalues by decreasing order to rank the corresponding eigenvectors. Select k eigenvectors which correspond to the k largest eigenvalues, where k is the dimensionality of the new feature subspace