Implements the SVM-Maj algorithm to train data with support vector machine
<doi:10.1007/s11634-008-0020-9>.
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.
| Version: |
0.2.9.3 |
| Depends: |
R (≥ 2.13.0), stats, graphics, parallel |
| Imports: |
reshape2, scales, gridExtra, dplyr, ggplot2, kernlab |
| Suggests: |
utils, testthat, magrittr, xtable |
| Published: |
2024-11-22 |
| DOI: |
10.32614/CRAN.package.SVMMaj |
| Author: |
Hoksan Yip [aut, cre],
Patrick J.F. Groenen [aut],
Georgi Nalbantov [aut] |
| Maintainer: |
Hoksan Yip <hoksan at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
SVMMaj results |