A knowledge-based clustering scheme

Shekar, B and Murty, M Narasimha and Krishna, G (1987) A knowledge-based clustering scheme. In: Pattern Recognition Letters, 5 (4). pp. 253-259.

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Abstract

In this paper the notion of conceptual cohesiveness is precised and used to group objects semantically, based on a knowledge structure called ‘cohesion forest’. A set of axioms is proposed which should be satisfied to make the generated clusters meaningful.

Item Type:	Journal Article
Publication:	Pattern Recognition Letters
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Logical pattern clustering;functional clustering;implicative descriptions;knowledge base;conceptual similarity.
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	27 Aug 2009 06:50
Last Modified:	19 Sep 2010 05:36
URI:	http://eprints.iisc.ac.in/id/eprint/21291

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