Analysis of Cluster Structures by Different Similarity Measures

The analysis of cluster formations used in applied problems is given. In various studies, data segmentation is usually performed by only one form of clusters. It is proposed to carry out clustering by different similarity measures for the same data and to investigate different types of relationships...

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Veröffentlicht in:	Cybernetics and systems analysis 2021-05, Vol.57 (3), p.436-441
Hauptverfasser:	Kondruk, N. E., Malyar, M. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial Intelligence Clustering Control Marketing research Mathematics Mathematics and Statistics Processor Architectures Segmentation Similarity Similarity measures Software Engineering/Programming and Operating Systems Systems Theory Target marketing
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Beschreibung
Zusammenfassung:	The analysis of cluster formations used in applied problems is given. In various studies, data segmentation is usually performed by only one form of clusters. It is proposed to carry out clustering by different similarity measures for the same data and to investigate different types of relationships between them. This allows for a more complete, comprehensive, and systematic analysis of the formed segments in applied problems. This approach is verified through the analyzis of demographic processes in several European countries.
ISSN:	1060-0396 1573-8337
DOI:	10.1007/s10559-021-00368-4