The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time.
| Version: | 0.0.1 |
| Imports: | pdist, assertthat |
| Published: | 2015-02-12 |
| DOI: | 10.32614/CRAN.package.FastKNN |
| Author: | Gaston Besanson |
| Maintainer: | Gaston Besanson <besanson at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | FastKNN results |
| Reference manual: | FastKNN.pdf |
| Package source: | FastKNN_0.0.1.tar.gz |
| Windows binaries: | r-devel: FastKNN_0.0.1.zip, r-release: FastKNN_0.0.1.zip, r-oldrel: FastKNN_0.0.1.zip |
| macOS binaries: | r-release (arm64): FastKNN_0.0.1.tgz, r-oldrel (arm64): FastKNN_0.0.1.tgz, r-release (x86_64): FastKNN_0.0.1.tgz, r-oldrel (x86_64): FastKNN_0.0.1.tgz |
| Reverse imports: | GGoutlieR |
| Reverse suggests: | DRquality, ProjectionBasedClustering |
Please use the canonical form https://CRAN.R-project.org/package=FastKNN to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.