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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Contributor : Guillaume Desagulier <>
Submitted on : Monday, November 19, 2018 - 10:46:46 AM
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Guillaume Desagulier. Multifactorial Exploratory Approaches. 2018. ⟨halshs-01926339v1⟩

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