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 commonly used term for clustering based on recursive partitioning. The classical implementation for this would be diana() from the "cluster" package. The "Cluster" task view at https://CRAN.R-project.org/view=Cluster also lists "isopam" and http://search.r-project.org/cgi-bin/namazu.cgi?query=divisive+clustering&idxname=functions&idxname=views
also gives a few further leads.
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.
But do you want to split along observed variables or not? If not, then you're in a unsupervised clustering situation (see my comment above). But if you want to split along covariates, then this is supervised and you're possibly looking for a multivariate regression tree?
Hope that helps, Z
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.
