Package: FNN 1.1.4.1
Shengqiao Li
FNN: Fast Nearest Neighbor Search Algorithms and Applications
Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented.
Authors:
FNN_1.1.4.1.tar.gz
FNN_1.1.4.1.tar.gz(r-4.5-noble)FNN_1.1.4.1.tar.gz(r-4.4-noble)
FNN_1.1.4.1.tgz(r-4.4-emscripten)FNN_1.1.4.1.tgz(r-4.3-emscripten)
FNN.pdf |FNN.html✨
FNN/json (API)
# Install 'FNN' in R: |
install.packages('FNN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:093f22e006. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 22 2024 |
R-4.5-linux-x86_64 | OK | Dec 22 2024 |
Exports:crossentropyentropyget.knnget.knnxKL.distKL.divergenceKLx.distKLx.divergenceknnknn.cvknn.distknn.indexknn.regknnx.distknnx.indexmutinfoownn
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross Entropy | crossentropy |
Shannon Entropy | entropy |
Search Nearest Neighbors | get.knn get.knnx |
Kullback-Leibler Divergence | KL.dist KLx.dist |
Kullback-Leibler Divergence | KL.divergence KLx.divergence |
k-Nearest Neighbour Classification | knn |
k-Nearest Neighbour Classification Cross-Validation | knn.cv |
k Nearest Neighbor Distances | knn.dist knnx.dist |
Search Nearest Neighbors | knn.index knnx.index |
k Nearest Neighbor Regression | knn.reg |
Mutual Information | mutinfo |
Optimal Weighted Nearest Neighbor Classification | ownn |
Print Method for KNN Regression | print.knnReg print.knnRegCV |