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https://issues.apache.org/jira/browse/MAHOUT-796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13091533#comment-13091533
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Nathan Halko commented on MAHOUT-796:
-------------------------------------

We did some work with facial recognition, computing 'eigenfaces' and reported 
in the paper.  In this case there is only 2 orders of magnitude between the 
signal and the 'noise'.  It shows a dramatic difference between the accuracy of 
one pass versus just one power iteration.  Note that after one power iteration, 
there is now 6 orders of magnitude separating signal and noise.  

But this is only looking at approximation error ||A-UU*A||.  It could very well 
be the case in recommendation applications that this measure is not 
appropriate, I don't know.  But it is a very valuable option to have at one's 
disposal just in case.

> Modified power iterations in existing SSVD code
> -----------------------------------------------
>
>                 Key: MAHOUT-796
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-796
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Math
>    Affects Versions: 0.5
>            Reporter: Dmitriy Lyubimov
>            Assignee: Dmitriy Lyubimov
>              Labels: SSVD
>             Fix For: 0.6
>
>
> Nathan Halko contacted me and pointed out importance of availability of power 
> iterations and their significant effect on accuracy of smaller eigenvalues 
> and noise attenuation. 
> Essentially, we would like to introduce yet another job parameter, q, that 
> governs amount of optional power iterations. The suggestion how to modify the 
> algorithm is outlined here : 
> https://github.com/dlyubimov/ssvd-lsi/wiki/Power-iterations-scratchpad .
> Note that it is different from original power iterations formula in the paper 
> in the sense that additional orthogonalization performed after each 
> iteration. Nathan points out that that improves errors in smaller eigenvalues 
> a lot (If i interpret it right). 

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