2015
Understanding and Evaluating Sparse Linear Discriminant Analysis
AISTATS 2015poster
Linear discriminant analysis (LDA) represents a simple yet powerful technique for partitioning a p-dimensional feature vector into one of K classes based on a linear projection learned from N labeled observations. However, it is well-established that in the high-dimensional setting (p > N) the under…