56 citations · 237 across the 26 of their papers we have counts for
Showing 2011Show all
2 papers · 1 filter
math.ST2011★ 7 cited
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…
stat.AP2011★ 42 cited
Principal arc analysis on direct product manifolds
Sungkyu Jung, Mark Foskey, J. S. Marron
We propose a new approach to analyze data that naturally lie on manifolds. We focus on a special class of manifolds, called direct product manifolds, whose intrinsic dimension coul…