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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.
Getting started
Browse package contents
Package details |
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| Author | K. Domijan |
| Maintainer | K. Domijan <domijank@tcd.ie> |
| License | GPL-2 |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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