# Understanding Singular Vectors

A certain weighted average of the rows (and columns) of a non-negative matrix yields a surprisingly simple, heuristical approximation to its singular vectors. There are correspondingly good approximations to the singular values. Such rules of thumb provide an intuitive interpretation of the singular vectors that helps explain why the SVD is so effective in analyzing large data sets.

Identifier:
http://www.jstor.org/stable/10.4169/college.math.j.44.3.220
Subject:
Rating:
Creator(s):
David James and Cynthia Botteron
Cataloger:
Daniel Drucker
Publisher:
College Math. Journal, Vol. 44, No. 3 (May 2013), 220–226
Rights:
David James and Cynthia Botteron