Linear Discriminant Analysis (LDA), Maximum Class Separation!
6 min readFeb 12, 2021
Today we are going to talk about a supervised dimensionality reduction method, with the purpose of maximizing the distance between classes!
Linear Discriminant Analysis is all about finding a lower-dimensional space, where to project your data unto in order to provide more meaningful data for your algorithm.
