Geodesic
Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system
Numerical methods and programming, Tome 13 (2012) no. 2, pp. 46-52

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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. 
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     author = {R. M. Miniakhmetov and M. L. Tsymbler},
     title = {Integration of {Fuzzy} {c-Means} {Clustering} algorithm with {PostgreSQL} database management system},
     journal = {Numerical methods and programming},
     pages = {46--52},
     publisher = {mathdoc},
     volume = {13},
     number = {2},
     year = {2012},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2012_13_2_a9/}
}
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R. M. Miniakhmetov; M. L. Tsymbler. Integration of Fuzzy c-Means Clustering algorithm with PostgreSQL database management system. Numerical methods and programming, Tome 13 (2012) no. 2, pp. 46-52. http://geodesic.mathdoc.fr/item/VMP_2012_13_2_a9/