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Principal component analysis for mixed (quantitative and qualitative) data

While PCA is used to explore the relation between several quantitative variables, MCA (Multiple Correspondance Analysis) is used to explore the relation between several categorical variables. Some methods (PCAmix method for exemple) can deal with a mix of quantitative and categorical variables and allow to explore links between observations and variables.

  • Amaury LABENNE
  • Jul 25 2016
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