discriminant function analysis

Discriminant function analysis is a statistical method used to classify objects or individuals into predefined groups based on their characteristics. It finds a mathematical formula that best separates the groups by comparing their features, such as measurements or qualities. Once the formula is established, it can predict which group a new subject belongs to, based on its characteristics. This technique is useful in areas like marketing, finance, or healthcare for sorting data into categories, helping in decision-making processes by identifying patterns and differences between groups.