Latent-structure decompositions (projections) of multivariate data

Authors
Olav M. Kvalheim
Published
1987
DOI
10.1016/0169-7439(87)80021-7
Citation
Kvalheim: "Latent-structure decompositions (projections) of multivariate data", Chemometrics and Intelligent Laboratory Systems, 2, 283-290, 1987.
Abstract
Several approaches to the decomposition of multivariate data arrays in terms of latent structure are developed within a common mathematical frame. The methods considered are (i) decomposition into principal components, also called singular-value decomposition, (ii) decomposition using the partial-least-squares approach and (iii) projection on to axes defined by selected variables or objects, so-called markers. Graphic display, being of major importance in interactive data exploration and classification, is discussed.
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