Thursday, September 22, 2011

9/20/11

To reiterate, In implementing LSI, we are looking for axes that capture the 
maximum variance.  The primary eigen vector captures
the maximum variance representing the most important axes/dimension.
The eigen vector associated with the next largest eigen value captures
the next greatest variance and represents an orthogonal axis.

M.