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The authors present an example of the application of cluster analysis in commodity science. The aim of the analysis was to find, on the ground of chemical composition, groups of mineral and spring waters in which the objects of the same group exhibited the highest possible degree of similarity, while objects of different groups exhibited the lowest. Euclidean distance method was used to calculate the distance between the objects. The agglomerations were created by using the nearest neighbour algorithm.
This case study presents the route taken by natural mineral waters from producer to consumer. Along with the description of the situation customary in market research, the transformation and history of the market for the product since the change of system is examined. The discussion begins with a presentation of the product and the range of substitutes for it, followed by differences over time in mineral-water production and sales and a description of the size changes in the market. Then come the sales path, the market agents - mineral-water production and sales firms - and finally, the institutions of state and voluntary market regulation.
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