| Name : R-gmmsslm
| |
| Version : 1.1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:19:33
|
| Group : Development/Libraries/Other
| Source RPM : R-gmmsslm-1.1.5-lp153.1.5.src.rpm
|
| Size : 0.13 MB
| |
| Packager : (none)
| |
| Summary : Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism
|
Description :
The algorithm of semi-supervised learning is based on finite Gaussian
mixture models and includes a mechanism for handling missing data. It
aims to fit a g-class Gaussian mixture model using maximum likelihood.
The algorithm treats the labels of unclassified features as missing
data, building on the framework introduced by Rubin (1976)
< doi:10.2307/2335739> for missing data analysis. By taking into account
the dependencies in the missing pattern, the algorithm provides more
information for determining the optimal classifier, as specified by
Bayes\' rule.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
