Collaborative Data Science
Discriminant analysis is a statistical technique used to classify a set of observations into predefined classes based on predictor variables. It aims to find the linear combinations of features that best separate two or more classes of objects or events, which is particularly useful in multivariate analysis for understanding group differences and predicting group membership.
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