title: k-means clustering in R on very large, sparse matrix?
body: <p>I am trying to do some k-means clustering on a very large matrix.</p>
  
  <p>The matrix is approximately 500000 rows x 4000 cols yet very sparse (only a couple of "1" values per row). </p>
  
  <p>The whole thing does not fit into memory, so I converted it into a sparse ARFF file. But R obviously can't read the sparse ARFF file format. I also have the data as a plain CSV file.</p>
  
  <p>Is there any package available in R for loading such sparse matrices efficiently? I'd then use the regular k-means algorithm from the cluster package to proceed.</p>
  
  <p>Many thanks</p>