Thanks. On Thu, Jul 5, 2012 at 9:55 AM, Ted Dunning <[email protected]> wrote: > For this size a dense solver like in commons math should work. For larger > sizes (up to about a million non-zeros), the in-memory stochastic > projection SVD in Mahout should work well. > > On Thu, Jul 5, 2012 at 12:44 AM, Sean Owen <[email protected]> wrote: > >> If you want Java, the implementation in Commons Math is just fine. >> There are others. >> >> Limiting the number of features is just a matter of tossing all but >> the first k rows, or columns. >> >> On Thu, Jul 5, 2012 at 9:46 AM, Lance Norskog <[email protected]> wrote: >> > What is a good factorizer for doing low-grade LSA? This would be for >> > small term-vector sets and document summarization. For example, a few >> > hundred sentences v.s. a thousand words. This would be apache >> > licensed. I stole the Mahout SVD implementation, but wonder if there >> > is a better alternative. The Mahout implementation does not support >> > limiting the number of features (singular values). >> > >> > -- >> > Lance Norskog >> > [email protected] >>
-- Lance Norskog [email protected]
