| Name : R-OutliersLearn
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.2
| Date : 2024-06-14 11:02:35
|
| Group : Development/Libraries/Other
| Source RPM : R-OutliersLearn-1.0.0-lp153.1.2.src.rpm
|
| Size : 0.28 MB
| |
| Packager : (none)
| |
| Summary : Educational Outlier Package with Common Outlier Detection Algorithms
|
Description :
Provides implementations of some of the most important outlier
detection algorithms. Includes a tutorial mode option that shows a
description of each algorithm and provides a step-by-step execution
explanation of how it identifies outliers from the given data with the
specified input parameters. References include the works of Azzedine
Boukerche, Lining Zheng, and Omar Alfandi (2020) < doi:10.1145/3381028>,
Abir Smiti (2020) < doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su,
Chih-Ling Tsai (2011) < doi:10.1002/widm.19>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
