SVStream: A Support Vector-Based Algorithm for Clustering Data Streams

In this paper, we propose a novel data stream clustering algorithm, termed SVStream, which is based on support vector domain description and support vector clustering. In the proposed algorithm, the data elements of a stream are mapped into a kernel space, and the support vectors are used as the sum...

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Bibliographic Details

Published in:	IEEE transactions on knowledge and data engineering Vol. 25; no. 6; pp. 1410 - 1424
Main Authors:	Wang, Chang-Dong, Lai, Jian-Huang, Huang, Dong, Zheng, Wei-Shi
Format:	Journal Article
Language:	English
Published:	IEEE 01.06.2013
Subjects:	Clustering algorithms clusters of arbitrary shape Data stream clustering evolving Kernel Labeling Merging noise overlapping Shape Static VAr compensators support vector Support vector machines
ISSN:	1041-4347
Online Access:	Get full text
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