[R] Clustering of sparse graphs.

Sean Davis sdavis2 at mail.nih.gov
Tue Jun 15 18:59:09 CEST 2004

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.


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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