LDA Design

LDA, or Linear Discriminant Analysis, is a statistical technique used to classify data into distinct categories. It works by finding the linear combinations of features that best separate different classes. Essentially, LDA looks for a way to project data into a lower-dimensional space while maximizing the distance between different classes and minimizing the variation within each class. This helps in identifying patterns and making predictions. LDA is commonly used in fields like biology, finance, and marketing, where distinguishing between groups based on various characteristics is crucial for decision-making.