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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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|
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