How to Install and Uninstall r-cran-apcluster Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 02,2024

1. Install "r-cran-apcluster" package

Here is a brief guide to show you how to install r-cran-apcluster on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-apcluster
            
                    
    
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2. Uninstall "r-cran-apcluster" package

Please follow the instructions below to uninstall r-cran-apcluster on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-apcluster
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-apcluster package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-apcluster
Architecture: amd64
Version: 1.4.8-1build2
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2048
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-rcpp (>= 0.11.1), r-cran-matrix, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 9)
Suggests: r-bioc-biostrings, r-cran-knitr
Filename: pool/universe/r/r-cran-apcluster/r-cran-apcluster_1.4.8-1build2_amd64.deb
Size: 1470680
MD5sum: 2f1dacfa4523e8d169f4f11cc08cfb57
SHA1: c87bdd18bcced5cfe6d28d82ba34d1bfb0a990a7
SHA256: cff2b09d38df09875252fa4f0f01faf48bc63b5030806d6df905fc73c705c6fa
SHA512: 9f2dd404f82f1cfc58cab6e91caae46dd85ec626945b09fa62928dad0f053afaf1ddfdb824d03092374c355daa85495f5d858b84d66ef443599e55f5b56bbbe6
Homepage: https://cran.r-project.org/package=apcluster
Description-en: Affinity Propagation Clustering
Implements Affinity Propagation clustering introduced by Frey and
Dueck (2007) . The algorithms are largely
analogous to the 'Matlab' code published by Frey and Dueck.
The package further provides leveraged affinity propagation and an
algorithm for exemplar-based agglomerative clustering that can also be
used to join clusters obtained from affinity propagation. Various
plotting functions are available for analyzing clustering results.
Description-md5: 840bdbe0cbb3f8c965e0ecc852eac124