Advanced Matrix Computations
A covariance matrix is a square matrix that captures the pairwise covariances between multiple variables. It serves as a crucial tool in multivariate statistics, indicating how much two random variables vary together and helping to understand the relationships among them. In many analyses, particularly in dimensionality reduction techniques, the covariance matrix plays a key role in identifying the directions of maximum variance in data.
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