Linear discriminant analysis is defined as an orthogonal linear transformation that best separate two or more classes of objects. It finds the set of the projection vectors which maximize the ratio of between-class scatter against within-class scatter. The resulting combination may be used for classification.
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(2009). LDA (Linear Discriminant Analysis). In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_349
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DOI: https://doi.org/10.1007/978-0-387-73003-5_349
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-73002-8
Online ISBN: 978-0-387-73003-5
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