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 from rpart in term of how the algorithms work (already mentioned by Bert Gunter) Best, Michal 2017-07-28 14:56 GMT+02:00 Tom D. Harray <tomdhar...@gmail.com>: > 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. > > > All recursive partitioning examples, which I can find, are used for > either classification or regression trees like > > library(tree) > data(iris) > tree(Species ~ Sepal.Width + Petal.Width, data = iris) > > which implies building a model. However, I would like to split data > like clustering similar to decision tree methods, because I have > nothing to predict. > > > My question is: Is there a package, which I can use to partition my > data without classification or regression so that it resembles > clustering methods? > > > Thanks and regards, > > Dirk > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
