A knowledge-based clustering scheme


Autoria(s): Shekar, B; Murty, M Narasimha; Krishna, G
Data(s)

01/04/1987

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/21291/1/142.pdf

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

Publicador

Elsevier Science

Relação

http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V15-48MXRCG-2V&_user=512776&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000025298&_version=1&_urlVersion=0&_userid=512776&md5=8ba7204022bf2a781bcd22124c7f6e55

http://eprints.iisc.ernet.in/21291/

Palavras-Chave #Computer Science & Automation (Formerly, School of Automation)
Tipo

Journal Article

PeerReviewed