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.
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© 1988 Springer-Verlag New York Inc.
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Bernstein, I.H., Garbin, C.P., Teng, G.K. (1988). Profile and Canonical Analysis. In: Applied Multivariate Analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8740-4_11
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DOI: https://doi.org/10.1007/978-1-4613-8740-4_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4613-8742-8
Online ISBN: 978-1-4613-8740-4
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