Machine Learning, Tutorial, Dimensionality Reduction, Deep Learning, Python.
preprocessing, let’s advance to the second step: constructing the covariance matrix. The symmetric d x d-dimensional covariance matrix, where d is the number of dimensions in the dataset, stores the pairwise covariances between the different features. For example, the covariance between two