| Name : R-MajMinKmeans
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:02:44
|
| Group : Development/Libraries/Other
| Source RPM : R-MajMinKmeans-0.1.0-lp153.2.2.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : k-Means Algorithm with a Majorization-Minimization Method
|
Description :
A hybrid of the K-means algorithm and a Majorization-Minimization
method to introduce a robust clustering. The reference paper is: Julien
Mairal, (2015) < doi:10.1137/140957639>. The two most important
functions in package \'MajMinKmeans\' are cluster_km() and
cluster_MajKm(). Cluster_km() clusters data without
Majorization-Minimization and cluster_MajKm() clusters data with
Majorization-Minimization method. Both of these functions calculate the
sum of squares (SS) of clustering. Another useful function is
MajMinOptim(), which helps to find the optimum values of the
Majorization-Minimization estimator.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
