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.

Install the latest version of this package by entering the following in R:
AuthorK. Domijan
Date of publication2016-02-27 14:35:00
MaintainerK. Domijan <domijank@tcd.ie>

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