Title of article :
Speed improvement of multivariate algorithms by the method of postponed basis matrix multiplication. Part III. The use of asymmetric and generalized eigenvalue equations
Author/Authors :
Alsberg، نويسنده , , Bjّrn K.، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 1995
Abstract :
It is demonstrated that the method for postponed basis matrix multiplication (PBM) applied to principal component analysis can be formulated as asymmetrical and generalized eigenvalue equations.
Keywords :
Algorithms , Latent Variables , Principal component analysis , data management , Postponed basis matrix multiplication , Multivariate analysis , Speed improvement
Journal title :
Chemometrics and Intelligent Laboratory Systems
Journal title :
Chemometrics and Intelligent Laboratory Systems