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Looking for an algorithm to deal with purely categorical data. It was suggested to me to look into the K-medoids algorithm. Anyone know if there is a K-medoids algorithm R library(package)?

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K-medoids of course works for purely categorical data.

But there also is k-modes, easy to find with a little bit of research... It's much cheaper to run, it is O(n), not O(n²)

It doesn't solve the problem that categorical data usually will not cluster in a meaningful way...

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  • $\begingroup$ Categorical data without a (partial) order usually does not cluster in a meaningful way. In fact introducing partial order, i.e. a structure, is adding messing meaning to categories that otherwise would be just labels. $\endgroup$ – mapto Nov 24 '18 at 6:44

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