Automated clustering of large data sets based on a topology representing graph [Büyük veri kümelerinin topoloji betimleyen çizgeye dayali otomatik gruplandirmasi]

dc.contributor.author	Taşdemir, K.
dc.date.accessioned	2021-01-25T20:51:49Z
dc.date.available	2021-01-25T20:51:49Z
dc.date.issued	2009
dc.identifier	10.1109/SIU.2009.5136521
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350335692&doi=10.1109%2fSIU.2009.5136521&partnerID=40&md5=40a096936a6001cfe2e2454527ba4992
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10706
dc.description.abstract	A powerful method in analysis of large data sets where there are many natural clusters with varying statistics such as different sizes, shapes, density distribution, is the use of self-organizing maps (SOMs) [1]. However, further processing tools, such as
dc.language.iso	English
dc.publisher	2009 IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
dc.title	Automated clustering of large data sets based on a topology representing graph [Büyük veri kümelerinin topoloji betimleyen çizgeye dayali otomatik gruplandirmasi]
dc.type	Conference Paper
dc.relation.firstpage	816
dc.relation.lastpage	819
dc.description.affiliations	Bilgisayar Mühendisliǧi Bölümü, Yaşar Üniversitesi, Turkey

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