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I need to analyse questionnaire survey data with mixed data types (nominal, ordinal, continuous). I want to cluster the variables. So far I only have dead ends.

  • I know I can use daisy in the cluster package to cluster the cases, but I want to cluster the variables.
  • lots of cluster procedures like ICLUST can cluster variables but they don't allow nominal data types.

The only thing I can think of is to split up the categorial variables into binary dummy variables, standardise everything, and then apply ICLUST.

ttnphns
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user43018
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    Use [Gower measure](http://stats.stackexchange.com/a/15313/3277). About measures nominal data, read [this](http://stats.stackexchange.com/a/55802/3277). For hierarchical and some other methods of clustering, it makes no difference whether you cluster individuals or attributes. – ttnphns Apr 03 '14 at 12:27

1 Answers1

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The R package polLCA can handle all different datatypes almost seamlessly via latent cluster analysis.

emagers
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