Package: KernelKnn 1.1.5
KernelKnn: Kernel k Nearest Neighbors
Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Authors:
KernelKnn_1.1.5.tar.gz
KernelKnn_1.1.5.zip(r-4.5)KernelKnn_1.1.5.zip(r-4.4)KernelKnn_1.1.5.zip(r-4.3)
KernelKnn_1.1.5.tgz(r-4.4-x86_64)KernelKnn_1.1.5.tgz(r-4.4-arm64)KernelKnn_1.1.5.tgz(r-4.3-x86_64)KernelKnn_1.1.5.tgz(r-4.3-arm64)
KernelKnn_1.1.5.tar.gz(r-4.5-noble)KernelKnn_1.1.5.tar.gz(r-4.4-noble)
KernelKnn_1.1.5.tgz(r-4.4-emscripten)KernelKnn_1.1.5.tgz(r-4.3-emscripten)
KernelKnn.pdf |KernelKnn.html✨
KernelKnn/json (API)
NEWS
| # Install 'KernelKnn' in R: |
| install.packages('KernelKnn', repos = c('https://mlampros.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlampros/kernelknn/issues
- Boston - Boston Housing Data
- ionosphere - Johns Hopkins University Ionosphere database
cpp11distance-metrickernel-methodsknnrcpparmadillo
Last updated 2 years agofrom:b892865b51. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 01 2024 |
| R-4.5-win-x86_64 | NOTE | Sep 01 2024 |
| R-4.5-linux-x86_64 | NOTE | Sep 01 2024 |
| R-4.4-win-x86_64 | NOTE | Sep 01 2024 |
| R-4.4-mac-x86_64 | NOTE | Sep 01 2024 |
| R-4.4-mac-aarch64 | NOTE | Sep 01 2024 |
| R-4.3-win-x86_64 | NOTE | Sep 01 2024 |
| R-4.3-mac-x86_64 | NOTE | Sep 01 2024 |
| R-4.3-mac-aarch64 | NOTE | Sep 01 2024 |
Exports:distMat.KernelKnndistMat.knn.index.distKernelKnnKernelKnnCVknn.index.dist
Dependencies:RcppRcppArmadillo
binary classification using the ionosphere data
Rendered frombinary_classification_using_the_ionosphere_data.Rmdusingknitr::rmarkdownon Sep 01 2024.Last update: 2017-10-30
Started: 2016-07-10
Image classification of the MNIST and CIFAR-10 data using KernelKnn and HOG (histogram of oriented gradients)
Rendered fromimage_classification_using_MNIST_CIFAR_data.Rmdusingknitr::rmarkdownon Sep 01 2024.Last update: 2016-09-08
Started: 2016-07-10
Regression using the Housing data
Rendered fromregression_using_the_housing_data.Rmdusingknitr::rmarkdownon Sep 01 2024.Last update: 2017-10-30
Started: 2016-07-10
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Boston Housing Data (Regression) | Boston |
| kernel k-nearest-neighbors using a distance matrix | distMat.KernelKnn |
| indices and distances of k-nearest-neighbors using a distance matrix | distMat.knn.index.dist |
| Johns Hopkins University Ionosphere database (binary classification) | ionosphere |
| kernel k-nearest-neighbors | KernelKnn |
| kernel-k-nearest-neighbors using cross-validation | KernelKnnCV |
| indices and distances of k-nearest-neighbors | knn.index.dist |
