Abstract
Geladi, P., 1992. Some special topics in multivariate image analysis. Chemometrics and Intelligent Laboratory Systems, 14: 375–390. Methods for multivariate image analysis are based on the definition of the multivariate image as a stack of congruent images collected for different variables (wavelengths). The article describes theories and three different types of examples for analysis when the images available are not congruent. This requires transformation to a common base used to construct a multivariate image. After that, a multivariate analysis can be carried out and the loading plots can be used for exploratory analysis and classification. Two new strategies are introduced: one for comparing within a set of noncongruent univariate images and one for comparing within a set of multivariate images.
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