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: 1.0.8
Depends: R (≥ 2.10.0)
Imports: Rcpp (≥ 0.12.5)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown
Published: 2018-01-16
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_1.0.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: KernelKnn_1.0.8.tgz, r-oldrel: KernelKnn_1.0.8.tgz
Old sources: KernelKnn archive

Reverse dependencies:

Reverse depends: elmNNRcpp
Reverse imports: imbalance, nmslibR
Reverse suggests: SuperLearner


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