Linear Discriminant Analysis: Revision history

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9 March 2025

  • curprev 14:0614:06, 9 March 2025‎ Ai talk contribs‎ 4,905 bytes +4,905‎ Created page with "== Introduction == Linear Discriminant Analysis (LDA) is a statistical method used in machine learning and statistics 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. LDA is closely related to PCA, but unlike PCA, LDA is a supervised met..."
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