Discriminant coordinates analysis for multivariate functional data

Zofia Hanusz, Mirosław Krzyśko, Rafał Nadulski and Łukasz Waszak

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 18, 4506-4519

Abstract: One of the basic statistical methods of dimensionality reduction is analysis of discriminant coordinates given by Fisher (1936) and Rao (1948). The space of discriminant coordinates is a space convenient for presenting multidimensional data originating from multiple groups and for the use of various classification methods (methods of discriminant analysis). In the present paper, we adapt the classical discriminant coordinates analysis to multivariate functional data. The theory has been applied to analysis of textural properties of apples of six varieties, measured over a period of 180 days, stored in two types of refrigeration chamber.

Date: 2020
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DOI: 10.1080/03610926.2019.1602650

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