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 |
|---|---|
| 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 (Formerly, School of Automation) |
| Date Deposited: | 27 Aug 2009 06:50 |
| Last Modified: | 19 Sep 2010 05:36 |
| URI: | http://eprints.iisc.ernet.in/id/eprint/21291 |
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