klaR: Classification and Visualization

Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to 'svmlight' and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as kmodes() clustering for categorical data, corclust() variable clustering, variable extraction from different variable clustering models and weight of evidence preprocessing.

Getting started

Package details

AuthorChristian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf, David Meyer
MaintainerUwe Ligges <ligges@statistik.tu-dortmund.de>
LicenseGPL-2 | GPL-3
URL https://statistik.tu-dortmund.de
Package repositoryView on CRAN
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klaR documentation built on March 31, 2023, 7:19 p.m.