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 |