| Name : R-biclustermd
| |
| Version : 0.2.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.10.2
| Date : 2024-06-14 12:06:31
|
| Group : Development/Libraries/Other
| Source RPM : R-biclustermd-0.2.3-lp153.10.2.src.rpm
|
| Size : 0.49 MB
| |
| Packager : (none)
| |
| Summary : Biclustering with Missing Data
|
Description :
Biclustering is a statistical learning technique that simultaneously
partitions and clusters rows and columns of a data matrix. Since the
solution space of biclustering is in infeasible to completely search
with current computational mechanisms, this package uses a greedy
heuristic. The algorithm featured in this package is, to the best our
knowledge, the first biclustering algorithm to work on data with
missing values. Li, J., Reisner, J., Pham, H., Olafsson, S., and
Vardeman, S. (2020) Biclustering with Missing Data. Information
Sciences, 510, 304–316.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
