LCCkNN: Adaptive k-Nearest Neighbor Classifier Based on Local Curvature Estimation

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
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

Documentation:

Reference manual: LCCkNN.html , LCCkNN.pdf

Downloads:

Package source: LCCkNN_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
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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