Improved pseudoinverse linear discriminant analysis method for dimensionality reduction
Pseudoinverse linear discriminant analysis (PLDA) is a classical method for solving small sample size problem. However, its performance is limited. In this paper, we propose an improved PLDA method which is faster and produces better classification accuracy when experimented on several datasets.
International Journal of Pattern Recognition and Artificial Intelligence
Pattern Recognition and Data Mining