The Regularized Discriminant Analysis is a combination of both Linear and Quadratic discriminant analysis which analyze the observation-based set of measurements to classify the objects into one of ...

Discriminant analysis is a classification problem, where two or more groups or clusters or populations are known a priori and one or more new observations are classified into one of the known ...

Linear Discriminant Analysis is a powerful technique for dimensionality reduction and classification. It aims to find a linear combination of features that best separates two or more classes of ...

Linear Discriminant Analysis (LDA) effectively separates data points by learning relationships in high dimensional data. LDA is primarily utilised for classification, dimension reduction, and data ...