CUR matrix approximation
id:
cur-matrix-approximation-261-5901194
title:
CUR matrix approximation
text:
A CUR matrix approximation is a set of three matrices that, when multiplied together, closely approximate a given matrix. A CUR approximation can be used in the same way as the low-rank approximation of the singular value decomposition (SVD). CUR approximations are less accurate than the SVD, but they offer two key advantages, both stemming from the fact that the rows and columns come from the original matrix: There are methods to calculate it with lower asymptotic time complexity versus the SVD
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wiki
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encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/CUR_matrix_approximation
date created:
date modified:
2024-02-25T16:44:06Z
main entity:
{"identifier":"Q5014719","url":"https://www.wikidata.org/entity/Q5014719"}
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13
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