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#linear_discriminant_analysis

Linear discriminant analysis

Method used in statistics, pattern recognition, and other fields

Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics and other fields, to find a linear combination of features that characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

Wed 31st

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Linear discriminant analysis Dimensionality reduction Multilinear subspace learning Kernel Fisher discriminant analysis Linear predictor function Linear classifier Quadratic classifier Iris flower data set Principal component analysis Supervised learning

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