Sparse PCA for High-Dimensional Data With Outliers
Sparse PCA for High-Dimensional Data With Outliers
A new sparse PCA algorithm is presented, which is robust against outliers. The approach is based on the ROBPCA algorithm that generates robust but nonsparse loadings. The construction of the new ROSPCA method is detailed, as well as a selection criterion for the sparsity parameter. An extensive simulation study and …