nnmf_prob: Non-negative Matrix Factorization via multinomial
In NMFN: Non-Negative Matrix Factorization
View source: R/NMFN_three_methods.R
nnmf_prob R Documentation
Non-negative Matrix Factorization via multinomial
Description
Non-negative Matrix Factorization - multinomial method
Usage
nnmf_prob(x, k, maxiter, eps)
Arguments
x
original input matrix
k
number of factors / components
maxiter
max number of iterations
eps
small threshold value
Value
W, H - returned decomposed matrices
Author(s)
Suhai (Timothy) Liu
Examples
X <- matrix(1:12, 3, 4)
results <- nnmf(X, 5, 'nnmf_prob')
NMFN documentation built on June 23, 2022, 9:11 a.m.
R Package Documentation
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View source: R/NMFN_three_methods.R
| nnmf_prob | R Documentation |
Non-negative Matrix Factorization via multinomial
Description
Non-negative Matrix Factorization - multinomial method
Usage
nnmf_prob(x, k, maxiter, eps)
Arguments
x |
original input matrix |
k |
number of factors / components |
maxiter |
max number of iterations |
eps |
small threshold value |
Value
W, H - returned decomposed matrices
Author(s)
Suhai (Timothy) Liu
Examples
X <- matrix(1:12, 3, 4) results <- nnmf(X, 5, 'nnmf_prob')
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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