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KernelKnn: Kernel k Nearest Neighbors
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 Contributor) |
| Maintainer: |
Lampros Mouselimis <mouselimislampros at gmail.com> |
| BugReports: |
https://github.com/mlampros/KernelKnn/issues |
| License: |
MIT + file LICENSE |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=KernelKnn
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.