Gustafson-Kessel Algorithm for Evolving Data Stream Clustering

dc.contributor.author	Georgieva, Olga
dc.contributor.author	Filev, D.
dc.date.accessioned	2010-05-12T14:12:18Z
dc.date.available	2010-05-12T14:12:18Z
dc.date.issued	2009-06-18
dc.identifier.citation	Georgieva O., D. Filev, 2009,Gustafson-Kessel Algorithm for Evolving Data Stream Clustering,“ACM International Conference Proceeding Series”, Vol. 433, Intern. Conference on Computer Systems and Technologies - CompSysTech’09, 18-19 June, Rousse, Bulgaria, pp.IIIB.14 (best paper prize).	bg_BG
dc.identifier.uri	http://hdl.handle.net/10506/337
dc.description.abstract	A simplified clustering algorithm that enables on-line partitioning of data streams is proposed. The algorithm applies adaptive-distance metric to identify clusters with different shape and orientation. It is applicable to a wide range of practical evolving system type applications as diagnostics and prognostics, system identification, real time classification, and process quality monitoring and control.	bg_BG
dc.language.iso	en	bg_BG
dc.publisher	“ACM International Conference Proceeding Series”, Vol. 433, Intern. Conference on Computer Systems and Technologies - CompSysTech’09	bg_BG
dc.subject	Gustafson-Kessel Algorithm	bg_BG
dc.subject	Evolving Data Stream Clustering	bg_BG
dc.title	Gustafson-Kessel Algorithm for Evolving Data Stream Clustering	bg_BG
dc.type	Article	bg_BG
dc.relation.citedbygoogle	4	bg_BG