Add PCA options to SSVD code
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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: 0.6
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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