-Re: [jira] Updated: (MAHOUT-446) Mahalanobis Distance + Singular Value Decomposition
Drew Farris 2010-07-23, 13:14
Mahalanobis distance sounds pretty useful. If you have any favorite
references containing real-world examples, definitely pass them along.
I have committed the patch with some minor modifications. I wanted to
point out that contributed code should include Apache license headers
and conform to the Mahout/Lucene code formatting conventions,
specifically things like indenting 2 spaces per level instead of using
See the following pages for the details:
Thanks for the contribution and welcome,
On Thu, Jul 22, 2010 at 4:05 PM, Nicolas Maillot <[EMAIL PROTECTED]> wrote:
> I have just attached the patch. Tell me if you have any problem with it.
> Many thanks for your help,
> On Thu, Jul 22, 2010 at 9:54 PM, Ted Dunning <[EMAIL PROTECTED]> wrote:
>> I think you ahve to attach the patch as a file.
>> On Thu, Jul 22, 2010 at 12:52 PM, Nicolas Maillot (JIRA) <[EMAIL PROTECTED]>wrote:
>>> Nicolas Maillot updated MAHOUT-446:
>>> Status: Patch Available (was: Open)
>>> > Mahalanobis Distance + Singular Value Decomposition
>>> > ---------------------------------------------------
>>> > Key: MAHOUT-446
>>> > URL: https://issues.apache.org/jira/browse/MAHOUT-446
>>> > Project: Mahout
>>> > Issue Type: New Feature
>>> > Components: Classification
>>> > Affects Versions: 0.4
>>> > Environment: GNU/Linux Ubuntu Lucid Lynx running in VMWare fusion
>>> > Reporter: Nicolas Maillot
>>> > Original Estimate: 0h
>>> > Remaining Estimate: 0h
>>> > This patch contains an implementation of the Mahalanobis distance + a
>>> unit test.
>>> > As explained in wikipedia (
>>> http://en.wikipedia.org/wiki/Mahalanobis_distance) , it is a useful way
>>> of determining similarity of an unknown sample set to a known one. It
>>> differs from Euclidean distance in that it takes into account the
>>> correlations of the data set and is scale-invariant.
>>> > Also contained in the patch:
>>> > -A port of the SingularValueDecomposition Class to the Matrix data
>>> > -An embryonic port of the matrix.linalg Algebra class to the
>>> Matrix/Vector data structure.
>>> This message is automatically generated by JIRA.
>>> You can reply to this email to add a comment to the issue online.