by Thalles Silva

An illustrative introduction to Fisher’s Linear Discriminant

To deal with classification problems with two or more classes, most Machine Learning (ML) algorithms work the same way.

Usually, they apply some kind of transformation to the input data with the effect of reducing the original input dimensions to a smaller number. The goal is to project the data into a new space. Then, once projected, the algorithm tries to…