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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 |
| 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:
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https://CRAN.R-project.org/package=KernelKnn
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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.
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