Tensor Analysis
Alternating Least Squares (ALS) is an optimization algorithm commonly used to factorize matrices, particularly in the context of tensor analysis. This method iteratively optimizes one set of variables while keeping others fixed, allowing for effective computation in high-dimensional data scenarios. It is especially useful in applications like collaborative filtering and recommendation systems, where understanding multi-dimensional relationships is crucial.
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