Details
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New Feature
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Status: Closed
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Major
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Resolution: Fixed
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0.6
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None
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None
Description
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.