| Name : R-ktaucenters
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.2
| Date : 2024-07-18 15:27:37
|
| Group : Development/Libraries/Other
| Source RPM : R-ktaucenters-1.0.0-lp156.1.2.src.rpm
|
| Size : 1.76 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Robust Clustering Procedures
|
Description :
A clustering algorithm similar to K-Means is implemented, it has two
main advantages, namely (a) The estimator is resistant to outliers,
that means that results of estimator are still correct when there are
atypical values in the sample and (b) The estimator is efficient,
roughly speaking, if there are no outliers in the sample, results will
be similar to those obtained by a classic algorithm (K-Means).
Clustering procedure is carried out by minimizing the overall robust
scale so-called tau scale. (see Gonzalez, Yohai and Zamar (2019)
< arxiv:1906.08198>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
