clustering

Ієрархічне острівкування енергетичних мереж

The features of using the method of optimal scheme reduction for islanding of power
systems is reviewed. A modified algorithm for series-parallel folding with the formation of
hierarchically nested clusters is offered. The advantages of the algorithm is grounded and its
implementation in the application for islanding of power system is described.

Models and methods for building web recommendation systems

Modern Word Wide Web contains a large number of Web sites and pages in each Web site. Web recommendation system (recommendation system for web pages) are typically implemented on web servers and use the data obtained from the collection viewed web templates (implicit data) or user registration data (explicit data). In article considering methods and algorithms of web recommendation system based on the technology of data mining (web mining).

Application of Cluster Approach to the Development of Industrial Potential: Innovative Policy and Management Support

In modern conditions, the role of industrial potential is increasing, which will ensure the modernization of the national economy. The emergence of crisis phenomena of clusterization in the industrial sector of the state is deepening due to the lack of directions in the management of its development.

Supporting the competitiveness of dairy processing enterprises in terms of european integration

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.

Self-organizing map and its learning in the fuzzy clustering-classification tasks

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”).