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 ...
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