Multiple factor analysis

<p>Multiple factor analysis (MFA) is a <a href="/facts/Factorial_experiment/lPlCA847">factorial</a> method devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups. It is a <a href="/facts/Multivariate_statistics/tDuNcWrL">multivariate method</a> from the field of <a href="/facts/Ordination_(statistics)/skxK9rUM">ordination</a> used to simplify <a href="/facts/Dimensionality_reduction/XoRpcrB0">multidimensional data</a> structures. MFA treats all involved tables in the same way (symmetrical analysis). It may be seen as an extension of: 
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<ul><li><a href="/facts/Principal_component_analysis/pCbVTqdR">Principal component analysis</a> (PCA) when variables are quantitative,</li>
<li><a href="/facts/Multiple_correspondence_analysis/18wKhpoL">Multiple correspondence analysis</a> (MCA) when variables are qualitative,</li>
<li><a href="/facts/Factor_analysis_of_mixed_data/S3tqKE4x">Factor analysis of mixed data</a> (FAMD) when the active variables belong to the two types.</li></ul>

Multiple factor analysis open-in-new

Multiple factor analysis