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Linear Discriminant Analysis (LDA) is a dimensionality reduction and classification method. It finds low-dimensional subspace with the strongest class separation and uses it to perform classification. Use this tag for quadratic DA (QDA) too.
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Three versions of discriminant analysis: differences and how to use them
Can anybody explain differences and give specific examples how to use these three analyses?
LDA - Linear Discriminant Analysis
FDA - Fisher's Discriminant Analysis
QDA - Quadratic Discriminant Analy …