Single-Pass PCA of Large High-Dimensional Data

25 Apr 2017Wenjian YuYu GuJian LiShenghua LiuYaohang Li

Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning. For large and high-dimensional data, computing the PCA (i.e., the singular vectors corresponding to a number of dominant singular values of the data matrix) becomes a challenging task... (read more)

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