CRAN/E | KernelKnn

KernelKnn

Kernel k Nearest Neighbors

Installation

About

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.

Citation KernelKnn citation info
github.com/mlampros/KernelKnn
System requirements 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)
Bug report File report

Key Metrics

Version 1.1.5
R ≥ 2.10.0
Published 2023-01-06 447 days ago
Needs compilation? yes
License MIT
License File
CRAN checks KernelKnn results

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Maintainer

Maintainer

Lampros Mouselimis

mouselimislampros@gmail.com

Authors

Lampros Mouselimis

aut / cre

Matthew Parks

ctb

(Github Contributor)

Material

README
NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

KernelKnn archive

Depends

R ≥ 2.10.0

Imports

Rcpp ≥ 0.12.5

Suggests

testthat
covr
knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo

Reverse Depends

elmNNRcpp

Reverse Imports

imbalance
nmslibR
RaSEn

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