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: 1.0.5
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.12.5)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown
Published: 2017-02-21
Author: Lampros Mouselimis
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
Materials: README NEWS
CRAN checks: KernelKnn results

Downloads:

Reference manual: KernelKnn.pdf
Vignettes: binary classification using the ionosphere data
Image classification of the MNIST and CIFAR-10 data using KernelKnn and HOG (histogram of oriented gradients)
Regression using the Housing data
Package source: KernelKnn_1.0.5.tar.gz
Windows binaries: r-devel: KernelKnn_1.0.5.zip, r-release: KernelKnn_1.0.5.zip, r-oldrel: KernelKnn_1.0.5.zip
OS X El Capitan binaries: r-release: KernelKnn_1.0.5.tgz
OS X Mavericks binaries: r-oldrel: KernelKnn_1.0.5.tgz
Old sources: KernelKnn archive

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