randsvd: randomized svd function.
In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images
randsvd R Documentation
randomized svd function.
Description
uses random matrix to estimate svd results
Usage
randsvd(A, k, seed = NA)
Arguments
A
input matrix
k
rank to use
seed
for testing
Value
randomized svd is output
Author(s)
Avants BB
References
N. Halko, P.G. Martinsson, J. Tropp "Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions" arXiv 0909.4061
Examples
A <- matrix(rnorm(3000), ncol = 50)
k <- 10
dr <- randsvd(A, k)$d[1:k]
dt <- svd(A)$d[1:k]
cor(dr, dt)
stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.
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| randsvd | R Documentation |
randomized svd function.
Description
uses random matrix to estimate svd results
Usage
randsvd(A, k, seed = NA)
Arguments
A |
input matrix |
k |
rank to use |
seed |
for testing |
Value
randomized svd is output
Author(s)
Avants BB
References
N. Halko, P.G. Martinsson, J. Tropp "Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions" arXiv 0909.4061
Examples
A <- matrix(rnorm(3000), ncol = 50)
k <- 10
dr <- randsvd(A, k)$d[1:k]
dt <- svd(A)$d[1:k]
cor(dr, dt)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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