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https://issues.apache.org/jira/browse/MAHOUT-817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13214118#comment-13214118
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Hudson commented on MAHOUT-817:
-------------------------------
Integrated in Mahout-Quality #1361 (See
[https://builds.apache.org/job/Mahout-Quality/1361/])
MAHOUT-817 PCA options for SSVD (RC1) (Revision 1292532)
Result = SUCCESS
dlyubimov :
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1292532
Files :
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/DistributedRowMatrix.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/MatrixColumnMeansJob.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/ABtDenseOutJob.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/BtJob.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/Omega.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/PartialRowEmitter.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/QJob.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDCli.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDHelper.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDPrototype.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDSolver.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/UJob.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/VJob.java
*
/mahout/trunk/core/src/main/java/org/apache/mahout/math/hadoop/stochasticsvd/YtYJob.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/TestDistributedRowMatrix.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/stochasticsvd/LocalSSVDPCADenseTest.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/stochasticsvd/LocalSSVDSolverDenseTest.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/stochasticsvd/LocalSSVDSolverSparseSequentialTest.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDCommonTest.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDPrototypeTest.java
*
/mahout/trunk/core/src/test/java/org/apache/mahout/math/hadoop/stochasticsvd/SSVDTestsHelper.java
> Add PCA options to SSVD code
> ----------------------------
>
> Key: MAHOUT-817
> URL: https://issues.apache.org/jira/browse/MAHOUT-817
> Project: Mahout
> Issue Type: New Feature
> Affects Versions: 0.6
> Reporter: Dmitriy Lyubimov
> Assignee: Dmitriy Lyubimov
> Fix For: 0.7
>
> Attachments: MAHOUT-817-RC1.patch, MAHOUT-817.patch,
> MAHOUT-817.patch, MAHOUT-817.patch, SSVD-PCA options.pdf, ssvd-tests.R,
> ssvd.R, ssvd.m
>
>
> It seems that a simple solution should exist to integrate PCA mean
> subtraction into SSVD algorithm without making it a pre-requisite step and
> also avoiding densifying the big input.
> Several approaches were suggested:
> 1) subtract mean off B
> 2) propagate mean vector deeper into algorithm algebraically where the data
> is already collapsed to smaller matrices
> 3) --?
> It needs some math done first . I'll take a stab at 1 and 2 but thoughts and
> math are welcome.
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