TECHNOLOGY OF USING MULTIDIMENSIONAL SCALING AND CLUSTER ANALYSIS
In article the step-by-step technology of using multidimensional scaling methods and a clustering is considered. Sharing of these methods allows to gain bigger effect rather than from their using separately. Algorithms of the hierarchical and nonhierarchical cluster analysis and also multidimensional scaling methods are described. The comparative analysis with existing methods such as classification, the factorial and component analysis is made. The description of the Euclidean and Manhattan metrics is provided. Work of the cluster analysis and multidimensional scaling is graphically represented as separately and shared step-by-step technology. Dividing enterprises onto clusters and plotting as points on two-dimensional configuration produced after using step-by-step application of the described methods. Specified basic distinctions between multidimensional scaling methods and cluster analysis and arguments for their sharing are given in article.