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||K. Domijan <[email protected]>|
|Package repository||View on CRAN|
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