Dealing with missing values and outliers in principal component analysis

Inference and missing data

Donald B. Rubin · Biometrika · 1976 · 9.5K citations

Alternatives to the Median Absolute Deviation

Peter J. Rousseeuw, Christophe Croux · Journal of the American Statistical Association · 1993 · 1.5K citations

Large Deviations, Engineering, Measurement +17

ROBPCA: A New Approach to Robust Principal Component Analysis

Mia Hubert, Peter J. Rousseeuw, Karlien Vanden Branden · Technometrics · 2005 · 1K citations

Classical Pca, Engineering, Data Science +14

Principal component analysis based on robust estimators of the covariance or correlation matrix: influence functions and efficiencies

Christophe Croux · Biometrika · 2000 · 366 citations · Full text

Missing data methods in PCA and PLS: Score calculations with incomplete observations

Philip R. Nelson, Paul A. Taylor, John F. MacGregor · Chemometrics and Intelligent Laboratory Systems · 1996 · 355 citations

Parallel Analysis, Engineering, Score Calculations +6