NoiseFiltersR: Label Noise Filters for Data Preprocessing in Classification

An extensive implementation of state-of-the-art and classical algorithms to preprocess label noise in classification problems.

Version: 0.1.0
Depends: R (≥ 3.3.0)
Imports: RWeka, kknn, nnet, caret, e1071, rpart, randomForest, MASS, rJava, stats, utils
Suggests: knitr, rmarkdown, testthat
Published: 2016-06-24
Author: Pablo Morales [aut], Julian Luengo [aut, cre], Luis P.F. Garcia [aut], Ana C. Lorena [aut], Andre C.P.L.F. de Carvalho [aut], Francisco Herrera [aut]
Maintainer: Julian Luengo <julianlm at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: NoiseFiltersR results


Reference manual: NoiseFiltersR.pdf
Vignettes: The NoiseFiltersR Package: Label Noise Preprocessing in R
Package source: NoiseFiltersR_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: NoiseFiltersR_0.1.0.tgz, r-oldrel: NoiseFiltersR_0.1.0.tgz

Reverse dependencies:

Reverse imports: smartdata


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