Dimensionality Reduction

A hands-on guide to linear discriminant analysis for binary classification

The Linear Discriminant Analysis (LDA) is a method to separate the data points by learning relationships between the high dimensional data points and the learner line. It reduces the high dimensional data to linear dimensional data.