AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
focusing on finding principal components to maximize dataset variance, LDA takes a “supervised” approach. LDA computes “linear discriminants,” determining the directions that serve as axes to maximize separation between multiple classes. To delve into the workings of LDA, let’s understand how LDA