An unsupervised and semi-supervised learning algorithm that performs feature extraction from noisy and high-dimensional data.
| Version: | 1.4 |
| Depends: | R (≥ 2.10.0), stats |
| Imports: | Rcpp (≥ 0.12.4) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | rgl, knitr, rmarkdown |
| Published: | 2017-01-17 |
| Author: | Stefano Cacciatore, Leonardo Tenori, Claudio Luchinat, Phillip R. Bennett, and David A. MacIntyre |
| Maintainer: | Stefano Cacciatore <tkcaccia at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | KODAMA results |
| Reference manual: | KODAMA.pdf |
| Vignettes: |
Knowledge Discovery by Accuracy Maximization |
| Package source: | KODAMA_1.4.tar.gz |
| Windows binaries: | r-devel: KODAMA_1.4.zip, r-release: KODAMA_1.4.zip, r-oldrel: KODAMA_1.4.zip |
| OS X Mavericks binaries: | r-release: KODAMA_1.4.tgz, r-oldrel: KODAMA_1.4.tgz |
| Old sources: | KODAMA archive |
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