Fisher's Discriminant

Fisher's Discriminant is a statistical technique used to separate or classify data points into different groups by finding the best line or boundary that differentiates them. It works by maximizing the distance between the means of the groups while minimizing the variation within each group. In essence, it finds the most effective way to distinguish categories based on their characteristics, making it useful for tasks like identifying different species, diagnosing diseases, or sorting emails. It provides a simple, mathematical way to perform classification based on the features that best distinguish the groups.