Author's: H. Saberi Najafi and A. Zeinal
Pages: [187] - [219]
Received Date: September 4, 2010
Submitted by:
Linear discriminant analysis (LDA) is a well-known method for
dimensionality reduction and classification. LDA finds a
transformation matrix, which is readily computed by solving a
generalized eigenvalue problem. The accuracy of LDA can be measured by
the condition number of the generalized eigenvalue problem.
In this paper, we find the relation of the maximum of relative
condition numbers related to the generalized eigenvalue problem with
some variables.
linear discriminant analysis, transformation matrix, generalized eigenvalue problem.