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 |
| 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 |
| In views: | Multivariate |
| 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: kknn_1.3.1.tgz, r-oldrel: kknn_1.3.1.tgz |
| Old sources: | kknn archive |
| Reverse depends: | EnsembleBase, mbclusterwise, MM2S |
| Reverse imports: | blkbox, DaMiRseq, NoiseFiltersR, predictoR, regressoR, rminer, traineR |
| Reverse suggests: | butcher, fscaret, MachineShop, mlr, mlr3learners, mlrMBO, parsnip, SSLR, utiml |
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