Software Tools for Robust Analysis of High-Dimensional Data
The present work discusses robust multivariate methods specifically designed for high dimensions. Their implementation in R is presented and their application is illustrated on examples. The first group are algorithms for outlier detection, already introduced elsewhere and implemented in other pack...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2014-06-01
|
Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/44 |