Abstract
In the previous chapters, several methods of data classification and regression were presented. Reference was made to the dimensionality ratio problem, which led us to describe and use variable selection techniques. The problem with these techniques is that they cannot detect hidden variables in the data, responsible for interesting data variability. In the present chapter we describe techniques that allow us to analyse the data structure with the dual objective of dimensional reduction and improved data interpretation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Literatur
Cooley WW, Lohnes PR (1971) Multivariate Data Analysis. Wiley.
Fukunaga K (1990) Introduction to Statistical Pattern Recognition. Academic Press, Inc.
Jambu M (1991) Exploratory and Multivariate Data Analysis. Academic Press, Inc.
Jackson JE (1991) A User’s Guide to Principal Components. John Wiley and Sons, Inc.
Johnson M (1991) Exploratory and Multivariate Data Analysis. Academic Press, Inc.
Johnson RA, Wichern DW (1992) Applied Multivariate Statistical Analysis. Prentice-Hall International, Inc.
Loehlin JC (1987) Latent Variable Models: An Introduction to Latent, Path, and Structural Analysis. Erlbaum Associates, Publishers.
Manly BF (1994) Multivariate Statistical Methods. A Primer. Chapman and Hall, Inc.
Morisson DF (1990) Multivariate Statistical Methods. McGraw-Hill Pub. Co.
Sharma S (1996) Applied Multivariate Techniques. John Wiley and Sons, Inc.
Velicer WF, Jackson DN (1990) Component Analysis vs. Factor Analysis: Some Issues in Selecting an Appropriate Procedure. Multivariate Behavioral Research, 25, 1–28.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Marques de Sá, J.P. (2003). Data Structure Analysis. In: Applied Statistics Using SPSS, STATISTICA and MATLAB. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05804-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-662-05804-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-05806-0
Online ISBN: 978-3-662-05804-6
eBook Packages: Springer Book Archive