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 <[email protected]>
Package repositoryView on CRAN
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BKPC documentation built on March 18, 2018, 1:23 p.m.