Articles - Categorical data analysis

Clustering is one of the important data mining methods for discovering knowledge in multivariate data sets. The goal is to identify groups (i.e. clusters) of similar objects within a data... [Read more]

The Multiple correspondence analysis (MCA) is an extension of the simple correspondence analysis (chapter @ref(correspondence-analysis)) for summarizing and visualizing a data table containing... [Read more]

Correspondence analysis (CA) is an extension of principal component analysis (Chapter @ref(principal-component-analysis)) suited to explore relationships among qualitative variables (or... [Read more]

This article presents quick start R code and video series for computing MCA (Multiple Correspondence Analysis) in R, using the FactoMineR package. Recall that MCA is used for analyzing... [Read more]

This page shows quick start R code to compute correspondence analysis- CA in R using the FactoMineR package. Additionaly, we present series of course videos on correspondence analysis, which is a... [Read more]