Given the authorship of the paper, I think your guess is good.
On Sun, Sep 8, 2013 at 10:00 PM, Nick Pentreath <[email protected]>wrote: > I suspect this will be coming to Spark Mllib soon :) > > — > Sent from Mailbox for iPhone > > On Mon, Sep 9, 2013 at 1:40 AM, Ted Dunning <[email protected]> wrote: > > > http://arxiv.org/pdf/1107.0789v6.pdf > > The basic idea is to use randomized column sampling to divide the matrix > > into parts which are then decomposed using whatever method de jour you > > like. The decompositions of the parts can then be put back together to > get > > a good estimate of the decomposition of the original matrix. > > Combined row and column decomposition can also be used and I think > > extension to row sampling (more convenient for us) is relatively trivial. >
