FIR-PCA is an iterative robust PCA method that uses projection depth and incremental PCA to select inliers, claiming better point-outlier robustness than DetMCD and FDB.
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A Fast Iterative Robust Principal Component Analysis Method
FIR-PCA is an iterative robust PCA method that uses projection depth and incremental PCA to select inliers, claiming better point-outlier robustness than DetMCD and FDB.