How to Install and Uninstall r-cran-knn.covertree Package on Kali Linux
Last updated: November 26,2024
1. Install "r-cran-knn.covertree" package
Please follow the step by step instructions below to install r-cran-knn.covertree on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-knn.covertree
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2. Uninstall "r-cran-knn.covertree" package
Here is a brief guide to show you how to uninstall r-cran-knn.covertree on Kali Linux:
$
sudo apt remove
r-cran-knn.covertree
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-knn.covertree package on Kali Linux
Package: r-cran-knn.covertree
Version: 1.0-2
Installed-Size: 267
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-rcpp (>= 1.0.2), r-cran-rcppeigen (>= 0.3.3.5.0), r-cran-matrix, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Recommends: r-cran-testthat
Suggests: r-cran-fnn
Size: 85632
SHA256: 6ec537bf01908955fe3c483db8303bf13a8c1a5d2a4c46e1e18071319baff641
SHA1: cc17bdebd18557de5b90ae54b5d401c98fad500b
MD5sum: 01ced4d68a97cbcee269fb925e3f9ae8
Description: GNU R accurate kNN implementation with multiple distance measures
Similarly to the 'FNN' package, this package allows calculation of the k
nearest neighbors (kNN) of a data matrix. The implementation is based on
cover trees introduced by Alina Beygelzimer, Sham Kakade, and John
Langford (2006).
Description-md5:
Homepage: https://cran.r-project.org/package=knn.covertree
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-knn.covertree/r-cran-knn.covertree_1.0-2_amd64.deb
Version: 1.0-2
Installed-Size: 267
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-rcpp (>= 1.0.2), r-cran-rcppeigen (>= 0.3.3.5.0), r-cran-matrix, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Recommends: r-cran-testthat
Suggests: r-cran-fnn
Size: 85632
SHA256: 6ec537bf01908955fe3c483db8303bf13a8c1a5d2a4c46e1e18071319baff641
SHA1: cc17bdebd18557de5b90ae54b5d401c98fad500b
MD5sum: 01ced4d68a97cbcee269fb925e3f9ae8
Description: GNU R accurate kNN implementation with multiple distance measures
Similarly to the 'FNN' package, this package allows calculation of the k
nearest neighbors (kNN) of a data matrix. The implementation is based on
cover trees introduced by Alina Beygelzimer, Sham Kakade, and John
Langford (2006)
Description-md5:
Homepage: https://cran.r-project.org/package=knn.covertree
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-knn.covertree/r-cran-knn.covertree_1.0-2_amd64.deb