## Linear Dimensionality Reduction: Principal Component Analysis

Author: Matteo Alberti Among all tools for the linear reduction of dimensionality PCA or Principal Components Analysis is certainly the main tools of Statistical Machine Learning. Although we focus very often on non-linearity, the analysis of the principal components is the starting point for many analysis (also the core of preprocessing), and […]