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High Knowledge Level for an Innovation Cluster Environment Formation in the Russian FederationA system for the evaluation of the knowledge development level of cluster innovation environment
High Knowledge Level for an Innovation Cluster Environment Formation in the Russian FederationA system for the evaluation the knowledge development level of cluster innovation environment
Knowledge-based ontology concept for numerical data clusteringClassical clustering algorithms are sufficiently well
studied, they are used for grouping numerical
Identification of territorial industrial clusters of Russian economy in view of their involvement into the development of the state innovation policyThe article is devoted to the important role of clusters in the innovative development
Ecological pyramid of human population depends of anthropogenic environmental factor - biogas from municipal solid waste landfillsThe article contains the results of multivariate mathematical and statistical analysis of empirical
Analysis and assessment of heavy metal contamination in the vicinity of Lake Atamanskoe (Rostov region, Russia) using multivariate statistical methods, such as the hierarchical cluster analysis (HCA), correlation analysis, and conditional inference tree (CIT), were used
Clusterization of Socio-Economic ModelsThe article deals with the area of application of a method of cluster analysis of research
Sound signal of the Himalayan marmot in its insular range of the obvious genetically determined features. The results of cluster analysis based on a complex of features
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
Principal component analysis and cluster analysis for evaluating the natural and anthropogenic territory safety techniques – principal component analysis and cluster analysis – to data of the Territory Safety Passports
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