Examples of using Cluster analysis in English and their translations into Russian
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Cluster analysis methods.
Factor, discriminate and cluster analysis.
Cluster analysis and its role in economic research.
The factor, discriminant and cluster analysis.
To this end, the cluster analysis method has been used.
Identifying the market balance using deltas and cluster analysis.
Use of cluster analysis in revealing of relationships.
Schutz, correlation, factor and cluster analysis of dates.
Algorithms of cluster analysis calculation used in biology.
Use of statistical methods modelling, cluster analysis, etc.
We have performed cluster analysis of phylogenetic profiles of E.
Key words: geomagnetic indexes,cardiovascular disease, cluster analysis.
Use of cluster analysis in numeric taxonomy and phylogeny.
Keywords: holding structure, management,unpredictability, cluster analysis.
Cluster analysis for countries in transition first draft.
Mahalanobis distance is widely used in cluster analysis and classification techniques.
Cluster analysis of the hierarchy structures landscapes of aquatic weeds.
Keywords: effectiveness, profitability,engineering enterprises, cluster analysis.
Cluster analysis based on k-means method, tree-structured clustering; cartography.
The results were processed using the methods of parametric statistics, cluster analysis.
Instead, a cluster analysis algorithm may be able to detect the micro-clusters formed by these patterns.
Procedure of the block's detection,based on the methods of cluster analysis is proposed.
Diagnosis of regional development: cluster analysis methods// Economy and management: scientific and practical journal.
Keywords: mining enterprise,sustainable development, cluster analysis, modeling.
Cluster analysis demonstrated the greatest percentage of normal BP clusters, and the smallest percentage having ISAH and SDAH.
The basic tasks, which can be accomplished using the cluster analysis, have been disclosed.
Cluster analysis of the Belarusian economy for the World Bank to identify priority sectors and enterprises suitable for privatisation.
Keywords: banking supervision, financial bank indicators,risks' profile, cluster analysis.
They used cluster analysis and Poisson regression modeling to categorize respondents by their attitude towards democracy and gender equality.
Discriminant analysis is used when groups are known a priori unlike in cluster analysis.