| Name : R-PearsonICA
| |
| Version : 1.2.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.11
| Date : 2024-06-14 11:03:01
|
| Group : Development/Libraries/Other
| Source RPM : R-PearsonICA-1.2.5-lp153.1.11.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Independent component analysis using score functions from the Pearson system
|
Description :
The Pearson-ICA algorithm is a mutual information-based method for
blind separation of statistically independent source signals. It has
been shown that the minimization of mutual information leads to
iterative use of score functions, i.e. derivatives of log densities.
The Pearson system allows adaptive modeling of score functions. The
flexibility of the Pearson system makes it possible to model a wide
range of source distributions including asymmetric distributions. The
algorithm is designed especially for problems with asymmetric sources
but it works for symmetric sources as well.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
