thanks, ideally I would need both symmetric and diagonal.

On Sat, Jan 14, 2012 at 8:26 AM, Sebastian Schelter <[email protected]> wrote:

> I think Tamas referred to matrices that are symmetric (only the upper
> triangular half would need to be stored) not diagonal matrices.
>
>
> On 14.01.2012 05:25, Lance Norskog wrote:
> > org.apache.mahout.math.DiagonalMatrix
> >
> > It even supports sparse values in the diagonal!
> >
> > On Fri, Jan 13, 2012 at 9:00 AM, Tamas Jambor (Commented) (JIRA)
> > <[email protected]> wrote:
> >>
> >>    [
> https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13185670#comment-13185670]
> >>
> >> Tamas Jambor commented on MAHOUT-737:
> >> -------------------------------------
> >>
> >> I think so. When will you be releasing 0.6? I am planning to do a bit
> more extensive testing in the next 2-3 weeks.
> >>
> >>> Implicit Alternating Least Squares SVD
> >>> --------------------------------------
> >>>
> >>>                 Key: MAHOUT-737
> >>>                 URL: https://issues.apache.org/jira/browse/MAHOUT-737
> >>>             Project: Mahout
> >>>          Issue Type: New Feature
> >>>          Components: Collaborative Filtering
> >>>    Affects Versions: 0.6
> >>>            Reporter: Tamas Jambor
> >>>            Assignee: Sebastian Schelter
> >>>         Attachments: MAHOUT-737-2.patch, MAHOUT-737.patch,
> MAHOUT-737.patch, MAHOUT-737.patch, MAHOUT-737.patch
> >>>
> >>>
> >>> I am sharing this Java implementation of mine that is based on the
> paper - Collaborative Filtering with Implicit Datasets. The implementation
> is multi-treading and can be easily extended to use it on Hadoop. In fact
> this approach would possibly work with non-implicit datasets, but further
> testing is needed. The algorithm is tried and tested on an implicit
> TV-viewing dataset, and the performance was pretty good (details to follow).
> >>
> >> --
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> >>
> >
> >
> >
>
>

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