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https://issues.apache.org/jira/browse/MAHOUT-817?focusedWorklogId=1000189&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-1000189
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ASF GitHub Bot logged work on MAHOUT-817:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jan/26 02:36
Start Date: 15/Jan/26 02:36
Worklog Time Spent: 10m
Work Description: guan404ming merged PR #821:
URL: https://github.com/apache/mahout/pull/821
Issue Time Tracking
-------------------
Worklog Id: (was: 1000189)
Time Spent: 1h 10m (was: 1h)
> 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
> Priority: Major
> Fix For: 0.7
>
> Attachments: MAHOUT-817-RC1.patch, MAHOUT-817.patch,
> MAHOUT-817.patch, MAHOUT-817.patch, SSVD-CLI.pdf, SSVD-PCA options.pdf,
> ssvd-tests.R, ssvd.R, ssvd.m
>
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> 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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