DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, SL | ko |
dc.contributor.author | Chung, Chin-Wan | ko |
dc.date.accessioned | 2007-10-04T02:30:15Z | - |
dc.date.available | 2007-10-04T02:30:15Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2001-10 | - |
dc.identifier.citation | INFORMATION PROCESSING LETTERS, v.80, no.2, pp.87 - 95 | - |
dc.identifier.issn | 0020-0190 | - |
dc.identifier.uri | http://hdl.handle.net/10203/1621 | - |
dc.description.abstract | In this paper, we investigate the problem of clustering multidimensional data sequences such as video streams. Each sequence is represented by a small number of hyper-rectangular clusters for subsequent indexing and similarity search processing. We present a linear clustering algorithm that guarantees the predefined level of clustering quality, and show its effectiveness via experiments on various video data sets. (C) 2001 Elsevier Science B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | On the effective clustering of multidimensional data sequences | - |
dc.type | Article | - |
dc.identifier.wosid | 000173169800004 | - |
dc.identifier.scopusid | 2-s2.0-0035980570 | - |
dc.type.rims | ART | - |
dc.citation.volume | 80 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 87 | - |
dc.citation.endingpage | 95 | - |
dc.citation.publicationname | INFORMATION PROCESSING LETTERS | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Chung, Chin-Wan | - |
dc.contributor.nonIdAuthor | Lee, SL | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | algorithms | - |
dc.subject.keywordAuthor | clustering algorithms | - |
dc.subject.keywordAuthor | databases | - |
dc.subject.keywordAuthor | multidimensional data sequences | - |
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