I'm dealing with a very large and sparse dataset and the first issues I met occurred when I tried to use quickCluster that reported me this error:
'cannot allocate vector of size 156.6 Mb'
So, given that I cannot wait to change the RAM of my computer and I can't afford to use a cluster, I want to rely on some other strategies like some package that would allow me to handle sparse matrices. I'm thinking about sparseM but given that I don't know well this package I'd like to know how to shrink the ram allocation for these kind of matrices. Any suggestion will be very appreciated!