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Implements the kK-NN algorithm, an adaptive k-nearest neighbor classifier that adjusts the neighborhood size based on local data curvature. The method estimates local Gaussian curvature by approximating the shape operator of the data manifold. This approach aims to improve classification performance, particularly in datasets with limited samples.
| Version: | 0.1.0 |
| Imports: | FNN, caret, MLmetrics, stats, class |
| Published: | 2025-08-27 |
| DOI: | 10.32614/CRAN.package.LCCkNN |
| Author: | Gabriel Pereira [aut, cre] |
| Maintainer: | Gabriel Pereira <gabrielfreitaspereira10 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Gabrielforest/LCCkNN |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LCCkNN results |
| Reference manual: | LCCkNN.html , LCCkNN.pdf |
| Package source: | LCCkNN_0.1.0.tar.gz |
| Windows binaries: | r-devel: LCCkNN_0.1.0.zip, r-release: LCCkNN_0.1.0.zip, r-oldrel: LCCkNN_0.1.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): LCCkNN_0.1.0.tgz, r-oldrel (x86_64): LCCkNN_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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