Linear Discriminant Analysis

LDA 1. What is Dimensionality Reduction?¶In Machine Learning and Statistic, Dimensionality Reduction the process of reducing the number of random variables under consideration via obtaining a set of principal variables. It can be divided into feature selection and feature extraction. We will deal with two main algorithms in Dimensionality Reduction¶ …

LDA – introduction What is LDA (Linear Discriminant Analysis)?¶Linear Discriminant Analysis (LDA) is a classification and dimensionality reduction technique commonly used in machine learning and statistics. Its main goal is to project high-dimensional data onto a lower-dimensional space while maximizing the separability between different classes. Key Concepts of LDA¶ Supervised …