PCA: Eigenvectors and Eigenvalues

Whenever you are handling data, you will always face relative features. Those latter are the variables we take into account to describe our data. Namely, if you are collecting some data about houses in Milan, typical features might be position, dimension, floor and so on.

However, it often happens that your data are presented to you provided with many features, sometimes hundreds of them….but do you need…