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Degree
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Postgraduate, Moscow State Open University
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E-mail
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zhupikovdi@mail.ru
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Location
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Moscow
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Articles
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The article is devoted to the application of multivariate classification methods to solve practical problems of the positioning of product categories. In particular, in the categories of «Tea» shows how to break the category into position, formed on the basis of shopping habits and preferences. To perform this task used discriminant analysis, which aims to partition a set of objects into homogeneous groups. The study managed to make an assortment of categories «Tea» optimal.
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