Did you look at SparseM? You may want to look at Rgraphviz and at some of the ontology tools in bioconductor for examples of graph-theoretic approaches to analysis as well as the graph package which includes data structures and generics for all kinds of neat stuff. There are probably other packages that allow graph manipulation, as well.
Sean On 6/15/04 11:46 AM, "Wolski" <[EMAIL PROTECTED]> wrote: > Hi! > > I have graph with 10000 or more (up 1000k) nodes and only few edges (can be > weighted or not). It is a really sparse matrix. > I can generate this graph using R. Which structure I can, should, use to store > the edges? (mSparse?) > Having this datastructures which clustering algorithm I can use in R? > > Sincerely Eryk > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
