- Add new port: math/R-cran-ddalpha
Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
WWW: https://cran.r-project.org/web/packages/ddalpha/
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tota Authored on - Parents
- rP449538: www/mod_md-devel: Add relevant Apache 2.4 patch
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