Abstract: In the era of big data, dimensionality reduction is essential for addressing challenges posed by high-dimensional datasets. This paper empirically compares Principal Component Analysis (PCA) ...
Abstract: cross-dimensional principal component analysis (CD-PCA). It is based on the semi-tensor product of matrices theory (STP), where a new projection rule is introduced to reduce dimensionality ...
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