BKPC: Bayesian Kernel Projection Classifier
Version 1.0

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.

Package details

AuthorK. Domijan
Date of publication2016-02-27 14:35:00
MaintainerK. Domijan <domijank@tcd.ie>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BKPC")

Try the BKPC package in your browser

Any scripts or data that you put into this service are public.

BKPC documentation built on May 29, 2017, 6:39 p.m.