You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Jeff Eastman (JIRA)" <ji...@apache.org> on 2010/09/22 17:29:35 UTC
[jira] Updated: (MAHOUT-446) Mahalanobis Distance + Singular Value
Decomposition
[ https://issues.apache.org/jira/browse/MAHOUT-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jeff Eastman updated MAHOUT-446:
--------------------------------
Fix Version/s: 0.4
Looks like this is ready to go. Shall we close it?
> 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 2.0.7.
> Reporter: Nicolas Maillot
> Fix For: 0.4
>
> Attachments: MAHOUT-446.patch
>
> 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 structure + unit tests.
> -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.