A comparison of generalized linear discriminant analysis algorithms

CH Park, H Park - Pattern Recognition, 2008 - Elsevier
Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal
linear transformation that maximizes the class separability. However, in undersampled …
被引用次数：219 相关文章

A comparison of generalized linear discriminant analysis algorithms

CH Park, H Park - Pattern Recognition, 2008 - ui.adsabs.harvard.edu
Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal
linear transformation that maximizes the class separability. However, in undersampled …

[引用][C] A comparison of generalized linear discriminant analysis algorithms

CHEE PARK, H PARK - Pattern recognition, 2008 - pascal-francis.inist.fr
A comparison of generalized linear discriminant analysis algorithms CNRS Inist Pascal-Francis
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …

A comparison of generalized linear discriminant analysis algorithms

CH Park, H Park - Pattern Recognition, 2008 - dl.acm.org
Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal
linear transformation that maximizes the class separability. However, in undersampled …
[PDF] gatech.edu

[PDF][PDF] A comparison of generalized linear discriminant analysis algorithms

CH Parka, H Parkb - faculty.cc.gatech.edu
Abstract 7 Linear discriminant analysis (LDA) is a dimension reduction method which finds
an optimal linear transformation that maximizes the class separability. However, in …
[PDF] psu.edu

[PDF][PDF] A Comparison of Generalized Linear Discriminant Analysis Algorithms

CH Park, H Park - 2006 - Citeseer
Abstract Linear Discriminant Analysis (LDA) is a dimension reduction method which finds an
optimal linear transformation that maximizes the class separability. However, in …

A comparison of generalized linear discriminant analysis algorithms

CH Park, H Park - Pattern Recognition, 2008 - infona.pl
Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal
linear transformation that maximizes the class separability. However, in undersampled …
[PDF] psu.edu

[PDF][PDF] A comparison of generalized linear discriminant analysis algorithms

CH Parka, H Parkb - Citeseer
Abstract 7 Linear discriminant analysis (LDA) is a dimension reduction method which finds
an optimal linear transformation that maximizes the class separability. However, in …
[PDF] gatech.edu

[PDF][PDF] A Comparison of Generalized Linear Discriminant Analysis Algorithms

CH Park, H Park - faculty.cc.gatech.edu
Abstract Linear Discriminant Analysis (LDA) is a dimension reduction method which finds an
optimal linear transformation that maximizes the class separability. However, in …

[引用][C] A comparison of generalized linear discriminant analysis algorithms

CHEE PARK, H PARK - Pattern recognition, 2008 - Elsevier