Weighted k-Nearest Neighbors for Classification, Regression and Clustering.
Version: | 1.3.1 |
Depends: | R (≥ 2.10) |
Imports: | igraph (≥ 1.0), Matrix, stats, graphics |
Published: | 2016-03-26 |
DOI: | 10.32614/CRAN.package.kknn |
Author: | Klaus Schliep [aut, cre], Klaus Hechenbichler [aut], Antoine Lizee [ctb] |
Maintainer: | Klaus Schliep <klaus.schliep at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/KlausVigo/kknn |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | kknn results |
Reference manual: | kknn.pdf |
Package source: | kknn_1.3.1.tar.gz |
Windows binaries: | r-devel: kknn_1.3.1.zip, r-release: kknn_1.3.1.zip, r-oldrel: kknn_1.3.1.zip |
macOS binaries: | r-release (arm64): kknn_1.3.1.tgz, r-oldrel (arm64): kknn_1.3.1.tgz, r-release (x86_64): kknn_1.3.1.tgz, r-oldrel (x86_64): kknn_1.3.1.tgz |
Old sources: | kknn archive |
Reverse depends: | EnsembleBase |
Reverse imports: | aRtsy, DaMiRseq, jrSiCKLSNMF, pheble, rgnoisefilt, rminer, RSDA, signeR, swfscMisc, traineR, viralmodels, viralx |
Reverse suggests: | butcher, finetune, flowml, fscaret, GenericML, healthyR.ai, MachineShop, mlr, mlr3learners, mlr3pipelines, mlr3tuningspaces, mlrMBO, orbital, parsnip, sense, SSLR, stacks, tidyAML, tune, utiml, viraldomain, workflowsets |
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