README.md
In guillermozbta/KNN_KERNEL1: Kernel k Nearest Neighbors
KernelKnn
The KernelKnn package 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. More details on the functionality of KernelKnn can be found in the blog-post and in the package Vignettes.
To install the package from CRAN use,
install.packages("KernelKnn")
and to download the latest version from Github use the install_github function of the devtools package,
devtools::install_github('mlampros/KernelKnn')
Use the following link to report bugs/issues,
https://github.com/mlampros/KernelKnn/issues
guillermozbta/KNN_KERNEL1 documentation built on May 17, 2019, 4:01 p.m.
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KernelKnn
The KernelKnn package 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. More details on the functionality of KernelKnn can be found in the blog-post and in the package Vignettes.
To install the package from CRAN use,
install.packages("KernelKnn")
and to download the latest version from Github use the install_github function of the devtools package,
devtools::install_github('mlampros/KernelKnn')
Use the following link to report bugs/issues,
https://github.com/mlampros/KernelKnn/issues
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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