How to Install and Uninstall r-cran-genieclust Package on Kali Linux

Last updated: May 15,2024

1. Install "r-cran-genieclust" package

Please follow the steps below to install r-cran-genieclust on Kali Linux


    
        
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                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                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 Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-genieclust
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-genieclust package on Kali Linux

Package: r-cran-genieclust
Version: 1.1.5-2-1
Installed-Size: 547
Maintainer: Debian R Packages Maintainers
Architecture: amd64
Depends: r-api-4.0, r-cran-rcpp (>= 1.0.4), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 13.1)
Size: 216764
SHA256: 3156a18def9a30fe0daf2d527607bc4411c6aefa8f51cee735d16cee7e9dd0dc
SHA1: 04faca3e481b7b9e7ad19a19a6cfb3a928e4cea5
MD5sum: 9b345d453738119e823a0c0903906220
Description: 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:
Homepage: https://cran.r-project.org/package=genieclust
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-genieclust/r-cran-genieclust_1.1.5-2-1_amd64.deb