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" <wolski at molgen.mpg.de> 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
>
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