Rapid and brief communication: Rough support vector clustering

Authors:
S. Asharaf;S. K. Shevade;M. Narasimha Murty
Affiliations:
Computer Science and Automation, Indian Institute of Science,Bangalore 560012, India;Computer Science and Automation, Indian Institute of Science,Bangalore 560012, India;Computer Science and Automation, Indian Institute of Science,Bangalore 560012, India
Venue:
Pattern Recognition
Year:
2005

Citing 4
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Abstract

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.