Confirmatory taxonomic analysis as an optimal method for analysis of a set of quantitative variables

Ankica Hosek-Momirović, Dragan Popovic, Evagelia Boli, Milos Popovic, Vladimir Savic, Jasna Popovic


This paper presents a simple method for a fuzzy or hard confirmatory classification of a set of variables based on a hypothetical fuzzy or hard classification of variables from that set, which also makes it possible to estimate similarities of the taxa obtained by this procedure. The method is defined by transforming the reparametrized matrix of object projections onto the principal components using the transformation matrix obtained by converting the transformation matrix obtained by solving the unconstrained Promax problem into a Mahalanobis form. The behavior of the program implementing this algorithm is demonstrated using a numerical example.

Keywords: classification / confirmatory methods / computer programs

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