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Multiple Factorial Analysis of Symbolic Data
Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
- 1 Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
- 2 Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
- 3 Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
- 4 Department de Mathematics, Faculty of Sciences, University of Yaounde 1, Yaounde, Cameroon
Applied Mathematics·Volume 03 (2012)·Pages 2148–2154·Published 28 December 2012·DOI10.4236/am.2012.312A295
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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.
KeywordsSymbolic ObjectAssertion ObjectMultiple Factorial AnalysisPrinciple Components AnalysisPoverty
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