svd_pca: Principal component dimensionality reduction using SVD
In jonalim/mfBiclust: Pipelines for Bi-Clustering Using Matrix Factorization
Description
Usage
Arguments
Value
Description
Factorizes matrix A as the product of score and loading matrices
respectively truncated to k rows and k columns.
Usage
1
Arguments
A
the matrix to factorize
k
the number of factors to compute
...
Present for compatibility. als_nmf has no other
parameters
Value
a genericFit-class object
jonalim/mfBiclust documentation built on May 4, 2019, 4:13 a.m.
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Description Usage Arguments Value
Description
Factorizes matrix A as the product of score and loading matrices
respectively truncated to k rows and k columns.
Usage
1 |
Arguments
A |
the matrix to factorize |
k |
the number of factors to compute |
... |
Present for compatibility. |
Value
a genericFit-class object
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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