Machine Learning Classification

Linear Discriminant Analysis (LDA) is a venerable and powerful technique fundamental to statistical modeling and modern machine learning. Its core objective is to determine a linear combination of features that optimally separates two or more predefined classes of observations. Unlike complex non-linear classifiers, LDA provides an interpretable mechanism for both dimensionality reduction and high-efficiency classification. […]