| Name : R-softImpute
| |
| Version : 1.4.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.52
| Date : 2024-08-29 00:09:21
|
| Group : Development/Libraries/Other
| Source RPM : R-softImpute-1.4.1-1.52.src.rpm
|
| Size : 0.43 MB
| |
| Packager : (none)
| |
| Summary : Matrix Completion via Iterative Soft-Thresholded SVD
|
Description :
Iterative methods for matrix completion that use nuclear-norm
regularization. There are two main approaches.The one approach uses
iterative soft-thresholded svds to impute the missing values. The
second approach uses alternating least squares. Both have an \'EM\'
flavor, in that at each iteration the matrix is completed with the
current estimate. For large matrices there is a special sparse-matrix
class named \"Incomplete\" that efficiently handles all computations. The
package includes procedures for centering and scaling rows, columns or
both, and for computing low-rank SVDs on large sparse centered matrices
(i.e. principal components).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
