Consistency of Sparse PCA in High Dimension, Low Sample Size Contexts

Dan Shen, Haipeng Shen, J. S. Marron

Sparse Principal Component Analysis (PCA) methods are efficient tools to reduce the dimension (or the number of variables) of complex data. Sparse principal components (PCs) are ea…