Abstract Linear Algebra I
Matrix factorization is a mathematical technique that decomposes a matrix into a product of two or more matrices, which reveals underlying structures in the data. This process is useful for simplifying complex datasets, allowing for dimensionality reduction, and enhancing computational efficiency in various applications, particularly in eigenvalue problems and data analysis methods. It provides insight into the relationships among the data points by breaking down a large matrix into more manageable components.
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