Package: kknn 1.4.1

kknn: Weighted k-Nearest Neighbors

Weighted k-Nearest Neighbors for Classification, Regression and Clustering.

Authors:Klaus Schliep [aut, cre], Klaus Hechenbichler [aut], Antoine Lizee [ctb]

kknn_1.4.1.tar.gz
kknn_1.4.1.zip(r-4.7)kknn_1.4.1.zip(r-4.6)kknn_1.4.1.zip(r-4.5)
kknn_1.4.1.tgz(r-4.6-x86_64)kknn_1.4.1.tgz(r-4.6-arm64)kknn_1.4.1.tgz(r-4.5-x86_64)kknn_1.4.1.tgz(r-4.5-arm64)
kknn_1.4.1.tar.gz(r-4.7-arm64)kknn_1.4.1.tar.gz(r-4.7-x86_64)kknn_1.4.1.tar.gz(r-4.6-arm64)kknn_1.4.1.tar.gz(r-4.6-x86_64)
kknn_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
kknn/json (API)

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

Bug tracker:https://github.com/klausvigo/kknn/issues

Datasets:
  • glass - Glass Identification Database
  • ionosphere - Johns Hopkins University Ionosphere Database
  • miete - Munich Rent Standard Database

On CRAN:

Conda:

nearest-neighbor

11.45 score 24 stars 26 packages 5.1k scripts 15k downloads 17 mentions 8 exports 11 dependencies

Last updated from:61ebf7c521. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK120
linux-devel-x86_64OK119
source / vignettesOK150
linux-release-arm64OK124
linux-release-x86_64OK132
macos-release-arm64OK100
macos-release-x86_64OK209
macos-oldrel-arm64OK104
macos-oldrel-x86_64OK187
windows-develOK100
windows-releaseOK97
windows-oldrelOK90
wasm-releaseOK96

Exports:contr.dummycontr.metriccontr.ordinalcv.kknnkknnkknn.distspecClusttrain.kknn

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs

Readme and manuals

Help Manual

Help pageTopics
Contrast Matricescontr.dummy contr.metric contr.ordinal
Glass Identification Databaseglass
Johns Hopkins University Ionosphere Databaseionosphere
Weighted k-Nearest Neighbor Classifierkknn kknn.dist predict.kknn print.kknn summary.kknn
Munich Rent Standard Database (1994)miete
Training kknncv.kknn plot.train.kknn predict.train.kknn print.train.kknn summary.train.kknn train.kknn
Spectral Clusteringplot.specClust specClust