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.
|Date of publication||2016-02-27 14:35:00|
|Maintainer||K. Domijan <email@example.com>|
|Package repository||View on CRAN|
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