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Principal Component Analysis

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Multivariate Geostatistics

Abstract

Principal component analysis is the most widely used method of multivariate data analysis owing to the simplicity of its algebra and to its straightforward interpretation.

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© 1998 Springer-Verlag Berlin Heidelberg

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Wackernagel, H. (1998). Principal Component Analysis. In: Multivariate Geostatistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03550-4_18

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  • DOI: https://doi.org/10.1007/978-3-662-03550-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-03552-8

  • Online ISBN: 978-3-662-03550-4

  • eBook Packages: Springer Book Archive

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