How to Install and Uninstall r-cran-genieclust Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 14,2024

1. Install "r-cran-genieclust" package

In this section, we are going to explain the necessary steps to install r-cran-genieclust on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-genieclust
            
                    
    
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2. Uninstall "r-cran-genieclust" package

This guide let you learn how to uninstall r-cran-genieclust on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-genieclust
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-genieclust package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-genieclust
Architecture: amd64
Version: 0.9.4-1
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: 357
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-rcpp (>= 1.0.4), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2)
Filename: pool/universe/r/r-cran-genieclust/r-cran-genieclust_0.9.4-1_amd64.deb
Size: 145472
MD5sum: 09c255ae32e8882666fb786758e2cb57
SHA1: 2f6e9dbcb2d5eebfef9ec5f02594bbe65417f12a
SHA256: f7376e853b8887aba02549b557f2e959521836ee9dae18ca7e32b5aaa5394345
SHA512: 80a55361dfa59e6c77b2467a8eb1f7ebd7cf51cabb86791051fbc70b51723e11f2499f314478209cee0fa0bf2fd1dabde4e1b3b38465bbc5d984ed776029e4e8
Homepage: https://cran.r-project.org/package=genieclust
Description-en: GNU R Genie++ Hierarchical Clustering Algorithm with Noise Points Detection
A retake on the Genie algorithm - a robust hierarchical clustering
method (Gagolewski, Bartoszuk, Cena, 2016
). Now faster and more memory efficient;
determining the whole hierarchy for datasets of 10M points in low
dimensional Euclidean spaces or 100K points in high-dimensional ones
takes only 1-2 minutes. Allows clustering with respect to mutual
reachability distances so that it can act as a noise point detector or a
robustified version of 'HDBSCAN*' (that is able to detect a predefined
number of clusters and hence it does not dependent on the somewhat
fragile 'eps' parameter).
.
The package also features an implementation of economic inequity indices
(the Gini, Bonferroni index) and external cluster validity measures
(partition similarity scores; e.g., the adjusted Rand, Fowlkes-Mallows,
adjusted mutual information, pair sets index).
.
See also the 'Python' version of 'genieclust' available on 'PyPI', which
supports sparse data, more metrics, and even larger datasets.
Description-md5: 93fa954fa9a9d2758e48530b3ddbfd4b