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Profile and Canonical Analysis

In: Applied Multivariate Analysis

Author

Listed:
  • Ira H. Bernstein

    (University of Texas at Arlington, Department of Psychology)

  • Calvin P. Garbin

    (University of Nebraska at Lincoln, Department of Psychology)

  • Gary K. Teng

    (Technical Evaluation and Management Systems, Inc.(TEAMS®))

Abstract

This chapter is largely concerned with questions related to how similar two vectors (profiles) are. The issue of vector similarity appears directly in many classification problems, as was seen in Chapter 9, in particular. Vector similarity leads into the process of forming groups based on the similarity of their vectors, clustering. However, it also appears indirectly whenever one wishes to make a linear combination obtained from one set of variables as similar as possible to a linear combination obtained from a second set of variables, which is the topic of canonical analysis.

Suggested Citation

  • Ira H. Bernstein & Calvin P. Garbin & Gary K. Teng, 1988. "Profile and Canonical Analysis," Springer Books, in: Applied Multivariate Analysis, chapter 11, pages 345-375, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-8740-4_11
    DOI: 10.1007/978-1-4613-8740-4_11
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