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evclass (version 2.0.2)

Evidential Distance-Based Classification

Description

Different evidential classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule, the evidential neural network, radial basis function neural networks, logistic regression, feed-forward neural networks.

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Version

Install

install.packages('evclass')

Monthly Downloads

338

Version

2.0.2

License

GPL-3

Maintainer

Thierry Denoeux

Last Published

November 9th, 2023

Functions in evclass (2.0.2)

Initialization of parameters for the EkNN classifier

Classification of a test set by the EkNN classifier

Determination of optimal coefficients for computing weights of evidence in logistic regression

Classification of a test set by a radial basis function classifier

Decision rules for evidential classifiers

Determination of optimal coefficients for computing weights of evidence in logistic regression

Initialization of parameters for a Radial Basis Function classifier

evclass: A package for evidential classification

Training of the EkNN classifier

Training of a radial basis function classifier

Vehicles dataset

Initialization of parameters for the evidential neural network classifier

Training of the evidential neural network classifier

Classification of a test set by the evidential neural network classifier

Ionosphere dataset