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Rough set based incremental clustering of interval data

Asharaf, S and Murty, Narasimha M and Shevade, SK (2006) Rough set based incremental clustering of interval data. In: Pattern Recognition Letters, 27 (6). pp. 515-519.

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This paper introduces a novel incremental approach to clustering interval data. The method employs rough set theory to capture the inherent uncertainty involved in cluster analysis. Our experimental results show that it produces meaningful cluster abstractions for interval data at a minimal computational expense.

Item Type: Journal Article
Publication: Pattern Recognition Letters
Publisher: Elsevier
Additional Information: The Copyright belongs to Elsevier.
Keywords: Clustering;Leader;Interval data;Rough set
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 17 Apr 2006
Last Modified: 19 Sep 2010 04:25
URI: http://eprints.iisc.ac.in/id/eprint/6296

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