kknn: Weighted k-Nearest Neighbors (original) (raw)
Weighted k-Nearest Neighbors for Classification, Regression and Clustering.
| Version: | 1.4.1 |
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| Depends: | R (≥ 3.5) |
| Imports: | graphics, igraph (≥ 1.0), Matrix, stats |
| Suggests: | tinytest |
| Published: | 2025-05-19 |
| 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> |
| BugReports: | https://github.com/KlausVigo/kknn/issues |
| 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 imports: | DaMiRseq, jrSiCKLSNMF, rgnoisefilt, rminer, RSDA, signeR, swfscMisc, traineR, viraldomain, viralmodels |
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| Reverse suggests: | butcher, caretSDM, fastml, finetune, flowml, GenericML, healthyR.ai, MachineShop, mlr, mlr3learners, mlrMBO, orbital, parsnip, sense, stacks, tidyAML, tune, viralx, workflowsets |
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