Tag: Linear Discriminant Analysis

Linear Discriminant Analysis – LDA in facial recognition is a powerful statistical method widely used in facial recognition to improve classification accuracy by maximizing the separation between classes. Unlike Principal Component Analysis (PCA), which focuses on reducing dimensionality, LDA optimizes class separability, making it ideal for distinguishing faces in recognition systems. This article explores the […]