6533b823fe1ef96bd127f3be
RESEARCH PRODUCT
Multiple factor analysis: principal component analysis for multitable and multiblock data sets
Domininique ValentinHervé AbdiLynne J. Williamssubject
Statistics and ProbabilityMeasure (data warehouse)business.industryPattern recognitionMultiple dataMultiple correspondence analysisRelationship squareMultiple factor analysisPrincipal component analysisArtificial intelligenceFactorial analysisGeneralized singular value decompositionbusinessMathematicsdescription
Multiple factor analysis MFA, also called multiple factorial analysis is an extension of principal component analysis PCA tailored to handle multiple data tables that measure sets of variables coll...
year | journal | country | edition | language |
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2013-02-14 | Wiley Interdisciplinary Reviews: Computational Statistics |