Robust Principal Component Analysis?
data analysis, and bioinformatics, where some measurements may be arbitrarily cor-rupted (due to occlusions, malicious tampering, or sensor failures) or simply irrelevant to the low-dimensional structure we seek to identify. A number of natural approaches to robustifying PCA have been explored and proposed in the literature over several decades.
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