Multivariate Discriminant Analysis

Multivariate Discriminant Analysis (MDA) is a statistical method used to classify observations into distinct categories based on multiple variables. Imagine you have a set of fruits, each described by features like size, weight, and color. MDA helps determine which category (e.g., apple, orange, banana) a new fruit belongs to by analyzing the relationships among these features. It builds a model from known examples, allowing us to predict the category of unknown data by examining how closely it resembles the existing categories. This approach is valuable in various fields, including biology, finance, and marketing, for decision-making and predictive analysis.