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Scalable Rough Support Vector Clustering

Asharaf, S and Shevade, SK and Murty, Narasimha M (2006) Scalable Rough Support Vector Clustering. CSA/ISL/ASH 0001.

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Abstract

In this paper a novel scalable soft support vector clustering algorithm is proposed. Here softness is imparted to Support Vector Clustering paradigm by employing rough set theory and scalability is achieved using Multi Sphere Support Vector Clustering method. Empirical results show that the proposed method gives meaningful cluster abstractions.

Item Type: Departmental Technical Report
Keywords: Support Vector Clustering;Rough Sets;Soft Clustering;Incremental Clustering
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 20 Feb 2006
Last Modified: 19 Sep 2010 04:23
URI: http://eprints.iisc.ernet.in/id/eprint/5293

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