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Communication Dans Un Congrès Année : 2023

A generalized Multiple Correspondence Analysis: Bi-weighted Multiple Correspondence Analysis.

Brigitte Le Roux
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Flora Chanvril

Résumé

Bi_weighted Multiple Correspondence Analysis. This paper presents a general method for analyzing a table Individuals X Categorical variables with a weighting on individuals and a weighting on categorical variables. We give the properties and the matrix formulas for MCA as well as for specific MCA and Class-specific Analysis.
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Dates et versions

hal-04196607 , version 1 (05-09-2023)

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  • HAL Id : hal-04196607 , version 1

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Brigitte Le Roux, Frédérik Cassor, Flora Chanvril. A generalized Multiple Correspondence Analysis: Bi-weighted Multiple Correspondence Analysis.. CARME - Correspondence Analysis and Related Methods, Sep 2023, Bonn, Germany. ⟨hal-04196607⟩
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