On Modified Discriminant Analysis

Modified linear discriminant analysis

In this paper, a modified Fisher linear discriminant analysis (FLDA) is proposed and aims to not only overcome the rank limitation of FLDA, that is, at most only finding a discriminant vector for 2-class problem based on Fisher discriminant criterion, but also relax singularity of the within-class scatter matrix and finally improves classification performance of FLDA. Experiments on nine public...

A Modified Algorithm for Generalized Discriminant Analysis

Generalized discriminant analysis (GDA) is an extension of the classical linear discriminant analysis (LDA) from linear domain to a nonlinear domain via the kernel trick. However, in the previous algorithm of GDA, the solutions may suffer from the degenerate eigenvalue problem (i.e., several eigenvectors with the same eigenvalue), which makes them not optimal in terms of the discriminant abilit...

Detecting credit card fraud by Modified Fisher Discriminant Analysis

In parallel to the increase in the number of credit card transactions, the financial losses due to fraud have also increased. Thus, the popularity of credit card fraud detection has been increased both for academicians and banks. Many supervised learning methods were introduced in credit card fraud literature some of which bears quite complex algorithms. As compared to complex algorithms which ...

Modified Incremental Linear Discriminant Analysis for Face Recognition

Copy Right © BIJIT – 2009; January – June, 2009; Vol. 1 No. 1; ISSN 0973 – 5658 37 Modified Incremental Linear Discriminant Analysis for Face Recognition R. K. Agrawal and Ashish Chaudhary Abstract Linear Discriminant analysis is a commonly used and valuable approach for feature extraction in face recognition. In this paper, we have proposed and investigated modified incremental Linear Discrimi...

Discriminant analysis on functional data