Principal Component, Machine Learning, Artificial Intelligence, Linear Algebra, Data Science.
without any concepts of Singular Value Decomposition (SVD) and be looking at it the “eigenvector way”. The Eigenvectors of the Covariance Matrix Method This is perhaps the most common method for computing PCA, so I’ll start with it first. It relies on a few concepts from statistics, namely the