Multifactorial Exploratory Approaches

Abstract : This chapter presents four methods that are designed to explore and summarize large and complex data tables by means of summary statistics: correspondence analysis, multiple correspondence analysis, principal component analysis, and exploratory factor analysis. These methods help generate hypotheses by providing informative clusters using the variable values that characterize each observation.
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https://halshs.archives-ouvertes.fr/halshs-01926339
Contributor : Guillaume Desagulier <>
Submitted on : Thursday, May 9, 2019 - 1:40:47 PM
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Guillaume Desagulier. Multifactorial Exploratory Approaches. 2019. ⟨halshs-01926339v2⟩

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