Multiple Factorial Analysis of Symbolic Data

Barnabé Tang Ahanda, Jean Gérard Aghoukeng Jiofack, Romain Germain Nzangué, Gilbert Hapi Mbiakop

Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon.

DOI: 10.4236/am.2012.312A295                

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.

Keywords

Symbolic Object; Assertion Object; Multiple Factorial Analysis; Principle Components Analysis; Poverty

Conflicts of Interest

The authors declare no conflicts of interest.

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