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MULTIDIMENSIONAL SCALING AND CLUSTERING OF SYMBOLIC DATA IN PRODUCT POSITIONING
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The article presents application of multidimensional scaling and clustering of symbolic interval-valued data for car market data. In the paper such terms as product positioning, symbolic variable and symbolic data are explained. Also the main aspects of multidimensional scaling and clustering for this kind of data are presented. In the empirical part results of product positioning are presented.
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21-26
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- Katedra Ekonometrii i Informatyki, Uniwersytet Ekonomiczny we Wrocławiu, ul. Nowowiejska 3, bud. A, pok. 94, 58-500 Jelenia Góra, Poland, marcin.pelka@ue.wroc.pl
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bwmeta1.element.cejsh-c3239960-9329-4cbc-abaf-7b6174279a39