KernelKnn: Kernel k Nearest Neighbors (original) (raw)
Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
| Version: | 1.1.5 |
|---|---|
| Depends: | R (≥ 2.10.0) |
| Imports: | Rcpp (≥ 0.12.5) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, covr, knitr, rmarkdown |
| Published: | 2023-01-06 |
| DOI: | 10.32614/CRAN.package.KernelKnn |
| Author: | Lampros Mouselimis [aut, cre], Matthew Parks [ctb] (Github: Github Contributor) |
| Maintainer: | Lampros Mouselimis |
| BugReports: | https://github.com/mlampros/KernelKnn/issues |
| License: | MIT + file |
| URL: | https://github.com/mlampros/KernelKnn |
| NeedsCompilation: | yes |
| SystemRequirements: | libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb) |
| Citation: | KernelKnn citation info |
| Materials: | README NEWS |
| CRAN checks: | KernelKnn results |
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