Fast Class Noise Detector with Multi-Factor-Based Learning

A fast class noise detector which provides noise score for each observations. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.


Reference manual

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1.1.1 by Wanwan Zheng, a year ago

Browse source code at

Authors: Wanwan Zheng [aut, cre] , Mingzhe Jin [aut] , Lampros Mouselimis [ctb, cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, caret, solitude, kernlab, C50, e1071, FactoMineR, dplyr, factoextra, ggplot2

Suggests testthat, covr, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

System requirements: libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb)

See at CRAN