KernelKnn

Documentation

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Reference manual: KernelKnn.html , KernelKnn.pdf Vignettes: binary classification using the ionosphere data ( source , R code ) Image classification of the MNIST and CIFAR-10 data using KernelKnn and HOG (histogram of oriented gradients) ( source , R code ) Regression using the Housing data ( source , R code )

Downloads

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Package source: KernelKnn_1.1.6.tar.gz Windows binaries: r-devel: KernelKnn_1.1.6.zip , r-release: KernelKnn_1.1.6.zip , r-oldrel: KernelKnn_1.1.6.zip macOS binaries: r-release (arm64): KernelKnn_1.1.6.tgz , r-oldrel (arm64): KernelKnn_1.1.6.tgz , r-release (x86_64): KernelKnn_1.1.6.tgz , r-oldrel (x86_64): KernelKnn_1.1.6.tgz Old sources: KernelKnn archive

Reverse dependencies

[{"label":"elmNNRcpp","section":"","type":"","url":"https://cran.r-project.org/web/packages/elmNNRcpp/index.html"},{"label":"demuxSNP","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/demuxSNP.html"},{"label":"nmslibR","section":"","type":"","url":"https://cran.r-project.org/web/packages/nmslibR/index.html"},{"label":"RaSEn","section":"","type":"","url":"https://cran.r-project.org/web/packages/RaSEn/index.html"},{"label":"scMultiSim","section":"","type":"","url":"https://www.bioconductor.org/packages/release/bioc/html/scMultiSim.html"},{"label":"SuperLearner","section":"","type":"","url":"https://cran.r-project.org/web/packages/SuperLearner/index.html"}]

Reverse depends: elmNNRcpp Reverse imports: demuxSNP , nmslibR , RaSEn , scMultiSim Reverse suggests: SuperLearner

Linking

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