By Topic

An Algorithm for Pattern Classification Using Eigenvectors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

An algorithm for pattern classification using eigenvectors is presented. This algorithm provides an alternative viewpoint for obtaining a solution weight vector of certain pattern classification problems. Convergence of the algorithm is proved and the termination condition of iteration is given. An interesting point is that this algorithm does not require the inversion of matrices, instead it requires the computation of eigenvalues and eigenvectors of the matrix.

Published in:

Computers, IEEE Transactions on  (Volume:C-20 ,  Issue: 5 )