| Name : R-odetector
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:49:23
|
| Group : Development/Libraries/Other
| Source RPM : R-odetector-1.0.1-lp153.2.7.src.rpm
|
| Size : 0.37 MB
| |
| Packager : (none)
| |
| Summary : Outlier Detection Using Partitioning Clustering Algorithms
|
Description :
An object is called \"outlier\" if it remarkably deviates from the other
objects in a data set. Outlier detection is the process to find
outliers by using the methods that are based on distance measures,
clustering and spatial methods (Ben-Gal, 2005 < ISBN 0-387-24435-2>). It
is one of the intensively studied research topics for identification of
novelties, frauds, anomalies, deviations or exceptions in addition to
its use for outlier removing in data processing. This package provides
the implementations of some novel approaches to detect the outliers
based on typicality degrees that are obtained with the soft
partitioning clustering algorithms such as Fuzzy C-means and its
variants.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
