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Num. Meth. Prog., 2012, Volume 13, Issue 2, Pages 46–52 (Mi vmp69)  

This article is cited in 1 scientific paper (total in 1 paper)

Программирование

Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system

R. M. Miniakhmetov, M. L. Tsymbler

South Ural State University, Chelyabinsk

Abstract: The integration of data mining algorithms with relational database management systems (DBMS) is a topical issue. The implementation of data mining algorithms by means of SQL provides the significant reducing of costs compared with using stand-alone utilities. This paper suggests an implementation of Fuzzy c-Means Clustering algorithm for the PostgreSQL open-source DBMS.

Keywords: fuzzy clustering; integration clustering algorithms with relational DBMS.

Full text: PDF file (209 kB)
UDC: 004.043
Received: 11.04.2012

Citation: R. M. Miniakhmetov, M. L. Tsymbler, “Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system”, Num. Meth. Prog., 13:2 (2012), 46–52

Citation in format AMSBIB
\Bibitem{MinTsy12}
\by R. M. Miniakhmetov, M.~L.~Tsymbler
\paper Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system
\jour Num. Meth. Prog.
\yr 2012
\vol 13
\issue 2
\pages 46--52
\mathnet{http://mi.mathnet.ru/vmp69}


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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. M. L. Tsymbler, “Obzor metodov integratsii intellektualnogo analiza dannykh v SUBD”, Vestn. YuUrGU. Ser. Vych. matem. inform., 8:2 (2019), 32–62  mathnet  crossref  elib
  • Numerical methods and programming
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