BKPC-package {BKPC}R Documentation

Bayesian Kernel Projection Classifier

Description

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. The main function for end users is bkpc.

Details

Package: BKPC
Type: Package
Version: 1.0
Date: 2016-02-27
License: GPL-2

Author(s)

K. Domijan <domijank@tcd.ie>

References

Domijan K. and Wilson S. P.: Bayesian kernel projections for classification of high dimensional data. Statistics and Computing, 2011, Volume 21, Issue 2, pp 203-216

See Also

kernlab


[Package BKPC version 1.0.1 Index]