robustDA: Robust Mixture Discriminant Analysis
Version 1.1

Robust mixture discriminant analysis (RMDA, Bouveyron & Girard, 2009) allows to build a robust supervised classifier from learning data with label noise. The idea of the proposed method is to confront an unsupervised modeling of the data with the supervised information carried by the labels of the learning data in order to detect inconsistencies. The method is able afterward to build a robust classifier taking into account the detected inconsistencies into the labels.

Package details

AuthorCharles Bouveyron & Stephane Girard
Date of publication2015-01-14 01:22:47
MaintainerCharles Bouveyron <[email protected]>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("robustDA")

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robustDA documentation built on May 29, 2017, 7:47 p.m.