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1986 | OriginalPaper | Buchkapitel

Principal Components as a Small Number of Interpretable Variables: Some Examples

verfasst von : I. T. Jolliffe

Erschienen in: Principal Component Analysis

Verlag: Springer New York

Enthalten in: Professional Book Archive

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The original purpose of PCA was to reduce a large number (p) of variables to a much small number (m) of PCs whilst retaining as much as possible of the variation in the p original variables. The technique is especially useful if m « p,and if the m PCs can be readily interpreted.

Vorheriges Kapitel Mathematical and Statistical Properties of Sample Principal Components

Nächstes Kapitel Graphical Representation of Data Using Principal Components

Titel: Principal Components as a Small Number of Interpretable Variables: Some Examples
verfasst von: I. T. Jolliffe
Verlag: Springer New York
Buch: Principal Component Analysis
Print ISBN: 978-1-4757-1906-2

Electronic ISBN: 978-1-4757-1904-8

Copyright-Jahr: 1986
DOI: https://doi.org/10.1007/978-1-4757-1904-8_4

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