Journal of Applied Mathematics and Decision Sciences
Volume 2008 (2008), Article ID 125797, 13 pages
Clustering Objects Described by Juxtaposition of Binary Data Tables
MSTD Laboratory, Faculty of Mathematics, University of Science and Technology-Houari Boumediene (USTHB), El Alia, BP 32, Algiers 16011, Algeria
Received 3 April 2008; Revised 14 August 2008; Accepted 28 October 2008
Academic Editor: Khosrow Moshirvaziri
Copyright © 2008 Amar Rebbouh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This paper seeks to develop an allocation of 0/1 data matrices to physical
systems upon a Kullback-Leibler distance between probability distributions.
The distributions are estimated from the contents of the data matrices. We
discuss an ascending hierarchical classification method, a numerical example and
mention an application with survey data concerning the level of development of
the departments of a given territory of a country.