Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...
This is a preview. Log in through your library . Abstract A new orthogonalization technique is presented for computing the $QR$ factorization of a general $n \times p ...
Computing the inverse of a matrix is one of the most important operations in machine learning. If some matrix A has shape n-by-n, then its inverse matrix Ai is n-by-n and the matrix product of Ai * A ...
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 38, No. 4 (Oct., 1976), pp. 400-403 (4 pages) A theorem involving the decomposition of an idempotent matrix into the sum of one or ...
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