[jira] Assigned: (MAHOUT-446) Mahalanobis Distance + Singular Value Decomposition

["Drew Farris (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Drew Farris reassigned MAHOUT-446:
----------------------------------

    Assignee: Drew Farris

> 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
>            Assignee: Drew Farris
>             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.

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