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

Last updated: November 22,2024

1. Install "r-cran-fastcluster" package

Please follow the steps below to install r-cran-fastcluster on Ubuntu 20.10 (Groovy Gorilla)


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

In this section, we are going to explain the necessary steps to uninstall r-cran-fastcluster on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-fastcluster
Architecture: amd64
Version: 1.1.25-3build2
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: 303
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-runit
Filename: pool/universe/r/r-cran-fastcluster/r-cran-fastcluster_1.1.25-3build2_amd64.deb
Size: 187496
MD5sum: a7e1ad9995bc58b163873879ae7c37dd
SHA1: ca929090109a5fbaa1932e25595e449619a0c6c3
SHA256: c06e3b2d928d562c6ef47c24bde274d4770f9ba4953f5613309d5bff888d27ab
SHA512: 5d05ca0305c25bf945b3886373345d651ce28d7ea4ac25b86bb9ab47d00f1a9f1627d63a55b5a5819cada0ad76a1f920b02f46c360f06f40efd00cc0580a1091
Homepage: https://cran.r-project.org/package=fastcluster
Description-en: Fast hierarchical clustering routines for GNU R
Fastcluster implements fast hierarchical, agglomerative clustering
routines. Part of the functionality is designed as drop-in replacement
for existing routines: “linkage” in the SciPy package
“scipy.cluster.hierarchy”, “hclust” in R's “stats” package, and the
“flashClust” package. It provides the same functionality with the
benefit of a much faster implementation. Moreover, there are
memory-saving routines for clustering of vector data, which go beyond
what the existing packages provide. For information on how to install
the Python files, see the file INSTALL in the source distribution.
Description-md5: 2db457eebec7bb41db0f6f450fef99f6