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