On the effective clustering of multidimensional data sequences

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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.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2001-10
Language
ENG
Article Type
Article
Citation

INFORMATION PROCESSING LETTERS, v.80, no.2, pp.87 - 95

ISSN
0020-0190
URI
http://hdl.handle.net/10203/1621
Appears in Collection
CS-Journal Papers(저널논문)
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