robustDA
cranv1.2Robust Mixture Discriminant Analysis. Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard, 2009 <doi:10.1016/j.patcog.2009.03.027>, 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 super
License GPL-2strong copyleft0 versions1 maintainers3 deps70 weekly dl
https://CRAN.R-project.org/package=robustDA39
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curl https://depscope.dev/api/check/cran/robustDAFirst published · 2020-10-14 09:38:37
Last updated · 2020-10-14T07:30:02+00:00