kknn: Weighted k-Nearest Neighbors (original) (raw)
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 |
| CRAN checks: | kknn results |
Documentation:
Downloads:
Reverse dependencies:
| 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 |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=kknnto link to this page.