Abstract
Complex multivariate data structures are better understood by studying low-dimensional projections. For a joint study of two data sets, we may ask what type of low-dimensional projection helps in finding possible joint structures for the two samples. The canonical correlation analysis is a standard tool of multivariate statistical analysis for discovery and quantification of associations between two sets of variables.
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© 2007 Springer-Verlag Berlin Heidelberg
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(2007). Canonical Correlation Analysis. In: Applied Multivariate Statistical Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72244-1_14
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DOI: https://doi.org/10.1007/978-3-540-72244-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72243-4
Online ISBN: 978-3-540-72244-1
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