Package: LCCkNN 0.1.0

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.

Authors:Gabriel Pereira [aut, cre]

LCCkNN_0.1.0.tar.gz
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LCCkNN_0.1.0.tgz(r-4.6-any)LCCkNN_0.1.0.tgz(r-4.5-any)
LCCkNN_0.1.0.tar.gz(r-4.7-any)LCCkNN_0.1.0.tar.gz(r-4.6-any)
LCCkNN_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LCCkNN/json (API)

# Install 'LCCkNN' in R:

install.packages('LCCkNN', repos = c('https://gabrielforest.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gabrielforest/lccknn/issues

On CRAN:

3.00 score 1 stars 126 downloads 6 exports 80 dependencies

Last updated from:711eae6ed0. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	125
source / vignettes	OK	183
linux-release-x86_64	OK	119
macos-release-arm64	OK	165
macos-oldrel-arm64	OK	121
windows-devel	OK	78
windows-release	OK	90
windows-oldrel	OK	144
wasm-release	OK	126

Exports:balanced_accuracy_score curvature_estimation kKNN point_curvature_estimation quantize sigmoid

Dependencies:bitops caret caTools class cli clock codetools cpp11 data.table diagram digest dplyr e1071 farver FNN foreach future future.apply generics ggplot2 globals glue gower gplots gtable gtools hardhat ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix MLmetrics ModelMetrics nlme nnet numDeriv parallelly pillar pkgconfig plyr pROC prodlim progressr proxy purrr R6 RColorBrewer Rcpp recipes reshape2 rlang ROCR rpart S7 scales shape sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Computes balanced accuracy.	balanced_accuracy_score
Computes the curvatures of all samples in the training set.	curvature_estimation
Computes the F1-score.	f1_score
Adaptive k-Nearest Neighbor Classifier	kKNN
Computes the curvature of a single test sample's neighborhood.	point_curvature_estimation
Quantizes real values to integer levels.	quantize
A helper sigmoid function.	sigmoid
Standard k-NN classifier.	testa_KNN