Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis

10 Sep 2016Young Woong ParkDiego Klabjan

Principal component analysis (PCA) is often used to reduce the dimension of data by selecting a few orthonormal vectors that explain most of the variance structure of the data. L1 PCA uses the L1 norm to measure error, whereas the conventional PCA uses the L2 norm... (read more)

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