| Name : R-SPCAvRP
| |
| Version : 0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:41
|
| Group : Development/Libraries/Other
| Source RPM : R-SPCAvRP-0.4-lp153.2.13.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Sparse Principal Component Analysis via Random Projections (SPCAvRP)
|
Description :
Implements the SPCAvRP algorithm, developed and analysed in \"Sparse
principal component analysis via random projections\" Gataric, M., Wang,
T. and Samworth, R. J. (2018) < arXiv:1712.05630>. The algorithm is
based on the aggregation of eigenvector information from
carefully-selected random projections of the sample covariance matrix.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
