BKPC (1.0.1)

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.

Maintainer: Katarina Domijan
Author(s): K. Domijan

License: GPL-2

Uses: kernlab

Released almost 2 years ago.