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Please use this identifier to cite or link to this item: http://hdl.handle.net/10506/334

Title: An Extended Version ofGustafson-Kessel Clustering Algorithm for Evolving Data Stream Clustering Evolving Intelligent Systems: Methodology and Applications
Authors: Filev, D.
Georgieva, Olga
Keywords: Gustafson-Kessel Clustering Algorithm
Data Stream Clustering
Intelligent Systems
Issue Date: 2010
Publisher: IEEE Press Series on Computational Intelligence
Citation: D. Filev, O. Georgieva, 2010, An Extended Version of Gustafson-Kessel Clustering Algorithm for Evolving Data Stream Clustering, Evolving Intelligent Systems: Methodology and Applications, (Angelov, Plamen / Filev, Dimitar P. / Kasabov, Nik (eds.)), IEEE Press Series on Computational Intelligence, pp.293-315 (ISBN-10: 0-470-28719-5, ISBN-13: 978-0-470-28719-4- John Wiley & Sons).
Abstract: The chapter deals with a recursive clustering algorithm that enables a real time partitioning of data streams. Proposed algorithm incorporates the advantages of the Gustafson-Kessel clustering algorithm of identifying clusters with different shape and orientation while expanding its area of application to the challenging problem of real time data clustering. The algorithm 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.
URI: http://hdl.handle.net/10506/334
ISBN: 0-470-28719-5
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