Type: New Feature
Affects Version/s: 0.6
Fix Version/s: 0.7
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
It needs some math done first . I'll take a stab at 1 and 2 but thoughts and math are welcome.