Aside from your issues with clusterdumper, the values you want can be had from a sparse vector using v.iterateNonZero() and v.norm(0).
The issue with clusterdumper is odd. Are you saying that the display shows all the components of the vector? Or that there is an in-memory representation that has been densified? On Sun, Aug 11, 2013 at 9:24 PM, Ashwini P <ashwini.a...@gmail.com> wrote: > Hello, > > I am new to mahout. I want to know how I can get the list of features that > where extracted from the corpus by seq2sparse and the count of the total > number of features. > > My problem is that when I view the clustering output using clusterdumper I > get only dense vectors for each point that belongs in the cluster but I > want the sparse vector for each point. What I want to know is that are the > vectors output from the clustering algorithm stored as dense vector or is > the clusterdumper converting the vectors to dense vectors. If the > clustering algorithm generates sparse vectors I can directly use them or > else I will have to convert the vectors from dense to sparse for which I > need the information mentioned in the above paragraph. > > Your suggestions on this are welcome. > > Thanks, > Ashvini >
