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("https://gitlab.com/domijank/BKPC.git")

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("BKPC")

1.0.1 by K. Domijan, 4 years ago


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


Authors: K. Domijan


Documentation:   PDF Manual  


GPL-2 license


Imports kernlab


See at CRAN