Non-linear learning does, however, provide much more power than linear schemes can.
The great virtue of linear schemes is when you have massive dimensionality. On Sat, Oct 22, 2011 at 2:14 AM, Federico Castanedo <[email protected] > wrote: > In fact, non-linear manifold learning algorithms aims to preserve the local > metric structure of sample points and > random projections are just an effcient way to the task. >
