Кластерный подход к разработке туристского маршрута по территории Курганской области,
classification and principles of
cluster approaches. The author also considered and identified
clusters Organizational and technological risks during the formation of clusters in megapolis in construction, a
classification of the risks of
cluster formation, and also provides methods
Using machine learning methods in problems with large amounts of data methods as
classification methods, regression restoration methods,
clustering methods. As a result, based
A design of innovative development in the industrial types of economic activity of the article is to develop with the use of
cluster analysis the innovative development model of industrial
Objects of interest detection by earth remote sensing data analysis the
cluster of cells.
Classification schemes that correspond to the structural components of the observed
Mathematical Methods in Geoinformatics for
clustering, which is necessary in modeling and visualization of data in geographic information systems
Classification of objects in grid computing to effectively manage the resources and processes that occur in a distributed system.
Classification according