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Rough support vector clustering

Asharaf, S and Shevade, SK and Murty, Narasimha M (2005) Rough support vector clustering. In: Pattern Recognition, 38 (10). pp. 1779-1783.

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In this paper a novel kernel-based soft clustering method is proposed. This method incorporates rough set theoretic flavour in support vector clustering paradigm to achieve soft clustering. Empirical studies show that this method can find soft clusters having arbitrary shapes.

Item Type: Journal Article
Publication: Pattern Recognition
Publisher: Pattern Recognition Society
Additional Information: Copyright of this article belongs to Pattern Recognition Society.
Keywords: Rough sets;Soft clustering;Kernel function;Support vectors
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 03 Dec 2007
Last Modified: 19 Sep 2010 04:26
URI: http://eprints.iisc.ac.in/id/eprint/6488

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