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Abstract

In order to arrive at objective conclusions from a market survey, many quantitative methods can be used to advantage. If the market structures are searched for, traditional methods of cluster analysis are usually used. Among these traditional methods is crisp partitioning, i.e. statistical groups are classified into non-overlapping clusters. Fuzzy clustering provides a bit different approach. For classification purposes six variables were utilised, representing certain the so-called transplanted solid organs. The result from fuzzy clustering analysis "fanny" was illustrated in a clusplot. In the biplot and clusplot the data are presented through first two principal components. These graphical outputs were achieved using programming in S-Plus language.

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