Ask a Question

Prefer a chat interface with context about you and your work?

Robust Sparse Principal Component Analysis

Robust Sparse Principal Component Analysis

A method for principal component analysis is proposed that is sparse and robust at the same time. The sparsity delivers principal components that have loadings on a small number of variables, making them easier to interpret. The robustness makes the analysis resistant to outlying observations. The principal components correspond to …