A Cost Function for Robust Estimation of PCA


It is well known that Principal Components Analysis (PCA) is optimal in the sense of Mean Square Error (MSE). However, the estimation based on MSE is sensitive to noise or outliers, therefore, it is not a robust estimator. In order to get a robust estimation, absolute error criterion ( norm) could be used, but it is not differentiable at the origin point… (More)


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