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Tensor decomposition for dimension reduction

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Tensor data are data with multiway array structure. They are often very high dimensional and are routinely encountered in many scientific fields. Dimension reduction is the technique of reducing the… Click to show full abstract

Tensor data are data with multiway array structure. They are often very high dimensional and are routinely encountered in many scientific fields. Dimension reduction is the technique of reducing the number of underlying variables for compressed data representation and for model parsimony. Tensor dimension reduction aims for reducing the tensor data dimension while keeping data's tensor structure.

Keywords: decomposition dimension; dimension reduction; tensor decomposition; tensor; dimension

Journal Title: Wiley Interdisciplinary Reviews: Computational Statistics
Year Published: 2019

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