Package: FNN 1.1.4
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.tar.gz
FNN_1.1.4.tar.gz(r-4.5-noble)FNN_1.1.4.tar.gz(r-4.4-noble)
FNN_1.1.4.tgz(r-4.4-emscripten)FNN_1.1.4.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 8 months agofrom:f4f2c355af. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 09 2024 |
| R-4.5-linux-x86_64 | OK | Sep 09 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 |