Integrating Fuzzy c-Means clustering with PostgreSQL

dc.contributor.author	Miniakhmetov R.	en
dc.date.accessioned	2018-10-15T11:17:52Z
dc.date.available	2018-10-15T11:17:52Z
dc.date.issued	2011
dc.identifier.issn	16130073
dc.identifier.uri	http://dspace.susu.ru/handle/0001.74/20068
dc.description.abstract	Many data sets to be clustered are stored in relational databases. Having a clusterization algorithm implemented in SQL provides easier clusterization inside a relational DBMS than outside with some alternative tools. In this paper we propose Fuzzy c-Means clustering algorithm adapted for PostgreSQL open-source relational DBMS.	en]
dc.language.iso	English
dc.relation.ispartof	CEUR Workshop Proceedings	en]
dc.subject	Clusterization	en]
dc.subject	Data sets	en]
dc.subject	Fuzzy C means clustering	en]
dc.subject	Fuzzy c-means clustering algorithms	en]
dc.subject	Open-source	en]
dc.subject	PostgreSQL	en]
dc.subject	Relational Database	en]
dc.subject	Relational DBMS	en]
dc.subject	Fuzzy clustering	en]
dc.subject	Information systems	en]
dc.subject	Relational database systems	en]
dc.title	Integrating Fuzzy c-Means clustering with PostgreSQL	en
dc.type	Conference Paper	en]
dc.identifier.scopus	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873481930&partnerID=40&md5=d37bb17b75157999621b159af8ac402b
dc.conference.name	7th Spring Researchers Colloquium on Databases and Information Systems, SYRCoDIS 2011	en]
dc.conference.date	2 June 2011 through 3 June 2011

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