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has been cited by the following article:
TITLE: Multiple Factorial Analysis of Symbolic Data
AUTHORS: Barnabé Tang Ahanda, Jean Gérard Aghoukeng Jiofack, Romain Germain Nzangué, Gilbert Hapi Mbiakop
KEYWORDS: Symbolic Object; Assertion Object; Multiple Factorial Analysis; Principle Components Analysis; Poverty
JOURNAL NAME: Applied Mathematics, Vol.3 No.12A, December 31, 2012
ABSTRACT: This document presents an extension of the multiple factorial analysis to symbolic data and especially to space data. The analysis makes use of the characteristic coding method to obtain active individuals and the reconstitutive coding method for additional individuals in order to conserve the variability of assertion objects. Traditional analysis methods of the main components are applied to coded objects. Certain interpretation aids are presented after the coding process. This method was applied to poverty data.