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: 1.0.3
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.12.5), OpenImageR
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown, irlba
Published: 2016-12-07
Author: Lampros Mouselimis
Maintainer: Lampros Mouselimis <mouselimislampros at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: KernelKnn results


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_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X Mavericks binaries: r-release: KernelKnn_1.0.3.tgz, r-oldrel: KernelKnn_1.0.3.tgz
Old sources: KernelKnn archive


Please use the canonical form to link to this page.