Evidential Distance-Based Classification

Different evidential distance-based classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule and the evidential neural network.


Reference manual

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1.1.1 by Thierry Denoeux, a year ago

Browse source code at https://github.com/cran/evclass

Authors: Thierry Denoeux

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning

GPL-3 license

Imports FNN

Suggests knitr, rmarkdown, datasets

See at CRAN