Re: [R] R-Package for Recursive Partitioning without Classification or Regression

2017-08-01 Thread Michal Kubista
Hello Tom, what you describe seems like using hierarchical clustering and plotting a dendrogram to me, even though only in the "visual" way, not in the math behind the algorithms. Are you looking for something like this? https://rpubs.com/gaston/dendrograms Just please note, that this is very far

Re: [R] R-Package for Recursive Partitioning without Classification or Regression

2017-07-31 Thread David L Carlson
I think that diana() or mona() in package cluster are what you are looking for. The computational burdens of polythetic divisive clustering methods as they are called are substantial so the available methods use shortcuts that should provide good, but not necessarily optimal results. --

Re: [R] R-Package for Recursive Partitioning without Classification or Regression

2017-07-31 Thread Achim Zeileis
On Fri, 28 Jul 2017, Tom D. Harray wrote: Hello, I have a question related to recursive partitioning, but I cannot find an answer, likely because I don't know how to properly word my Google search query. I think you are looking for "divisive hierarchical clustering" which is the more commo

Re: [R] R-Package for Recursive Partitioning without Classification or Regression

2017-07-28 Thread Bert Gunter
Tom: Recursive partitioning requires a response variable because splitting criteria are based on node purity/homogeneity (by various criteria) of the responses. So why did you not just search on "clustering" (e.g. at rseek.org)? And in particular, have you looked at the CRAN task view on clusteri