Bayesian Kernel Projection Classifier

Bayesian kernel projection classifier is a nonlinear multicategory classifier which performs the classification of the projections of the data to the principal axes of the feature space. A Gibbs sampler is implemented to find the posterior distributions of the parameters.

BKPC R package.

To install use devtools::install_git("")


Reference manual

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1.0.1 by K. Domijan, 4 years ago

Browse source code at

Authors: K. Domijan

Documentation:   PDF Manual  

GPL-2 license

Imports kernlab

See at CRAN