Tensor decomposition is a technique used to break down a higher-dimensional array, known as a tensor, into simpler, interpretable components. Tensors can be thought of as generalizations of matrices to higher dimensions. While a matrix is a two-dimensional array (with rows and columns), a tensor can have three or more dimensions, such as a three-dimensional array (height, width, depth), or even higher.
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