clustering

In this article the strategic directions and program-targeted measures to provide the competitiveness of enterprises of dairy industry as well as the implementation mechanisms are analyzed. With this purpose, the clustering of the technological process of milk production, its processing and goods tracking in the supply chain of milk are suggested with using CPFR.

In the paper, combined self-learning and learning method of self-organizing map (SOM-LVQ) is proposed. Such method allows to increase quality of information processing under condition of overlapping classes due to rational choice of learning rate parameter and introducing special procedure of fuzzy reasoning in the clustering-classification process, which occurs both with external learning signal (“supervised”), and without one (“unsupervised”).