Package: KernelKnn 1.1.6

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.

Authors:Lampros Mouselimis [aut, cre], Matthew Parks [ctb]

KernelKnn_1.1.6.tar.gz
KernelKnn_1.1.6.zip(r-4.7)KernelKnn_1.1.6.zip(r-4.6)KernelKnn_1.1.6.zip(r-4.5)
KernelKnn_1.1.6.tgz(r-4.6-x86_64)KernelKnn_1.1.6.tgz(r-4.6-arm64)KernelKnn_1.1.6.tgz(r-4.5-x86_64)KernelKnn_1.1.6.tgz(r-4.5-arm64)
KernelKnn_1.1.6.tar.gz(r-4.7-arm64)KernelKnn_1.1.6.tar.gz(r-4.7-x86_64)KernelKnn_1.1.6.tar.gz(r-4.6-arm64)KernelKnn_1.1.6.tar.gz(r-4.6-x86_64)
KernelKnn_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
KernelKnn/json (API)

# Install 'KernelKnn' in R:
install.packages('KernelKnn', repos = c('https://mlampros.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlampros/kernelknn/issues

Pkgdown/docs site:https://mlampros.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Boston - Boston Housing Data
  • ionosphere - Johns Hopkins University Ionosphere database

On CRAN:

Conda:

cpp11distance-metrickernel-methodsknnrcpparmadilloopenblascppopenmp

8.94 score 17 stars 10 packages 75 scripts 5.1k downloads 3 mentions 5 exports 2 dependencies

Last updated from:d179a72858. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE152
linux-devel-x86_64NOTE223
source / vignettesOK188
linux-release-arm64NOTE149
linux-release-x86_64NOTE141
macos-release-arm64NOTE112
macos-release-x86_64NOTE171
macos-oldrel-arm64NOTE109
macos-oldrel-x86_64NOTE219
windows-develNOTE152
windows-releaseNOTE128
windows-oldrelNOTE112
wasm-releaseOK144

Exports:distMat.KernelKnndistMat.knn.index.distKernelKnnKernelKnnCVknn.index.dist

Dependencies:RcppRcppArmadillo

binary classification using the ionosphere data
The KernelKnn function | The KernelKnnCV function | Adding or multiplying kernels
Rendered frombinary_classification_using_the_ionosphere_data.Rmdusingknitr::rmarkdown

Last update: 2017-10-30
Started: 2016-07-10

Regression using the Housing data
The KernelKnn function | The KernelKnnCV function | Adding or multiplying kernels
Rendered fromregression_using_the_housing_data.Rmdusingknitr::rmarkdown

Last update: 2017-10-30
Started: 2016-07-10

Image classification of the MNIST and CIFAR-10 data using KernelKnn and HOG (histogram of oriented gradients)
dependencies | MNIST data set | KernelKnnCV using truncated svd | KernelKnnCV and HOG (histogram of oriented gradients) | CIFAR-10 data set | KernelKnnCV using HOG (histogram of oriented gradients)
Rendered fromimage_classification_using_MNIST_CIFAR_data.Rmdusingknitr::rmarkdown

Last update: 2016-09-08
Started: 2016-07-10