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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2017, Number 3(19), Pages 70–77
DOI: https://doi.org/10.18454/2079-6641-2017-19-3-70-77 (Mi vkam213) 		 
INFORMATION AND COMPUTATION TECHNOLOGIES

Center based clustering and averaging aggregation functions

Z. M. Shibzukhov

Institute of Applied Mathematics and Automation
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DOI: https://doi.org/10.18454/2079-6641-2017-19-3-70-77
Abstract: We propose a new clustering method for partitioning of finite sets from $R^n$, which is based on the application of averaging aggregating functions and an iterative re-weighing method for searching cluster centers.
Keywords: aggregation function, M-average, K-means, clustering.
Received: 05.10.2017
Bibliographic databases:
Document Type: Article
UDC: 519.7
MSC: Primary 68T05; Secondary 62H30
Language: Russian
Citation: Z. M. Shibzukhov, “Center based clustering and averaging aggregation functions”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2017, no. 3(19), 70–77
Citation in format AMSBIB
\Bibitem{Shi17}
\by Z.~M.~Shibzukhov
\paper Center based clustering and averaging aggregation functions
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2017
\issue 3(19)
\pages 70--77
\mathnet{http://mi.mathnet.ru/vkam213}
\crossref{https://doi.org/10.18454/2079-6641-2017-19-3-70-77}
\elib{https://elibrary.ru/item.asp?id=30467948}
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