BKPC: 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.

Package details

AuthorK. Domijan
MaintainerK. Domijan <domijank@tcd.ie>
Package repositoryView on CRAN
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BKPC documentation built on May 1, 2019, 9:10 p.m.