How to Install and Uninstall ann-tools Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "ann-tools" package

This tutorial shows how to install ann-tools on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                ann-tools
            
                    
    
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2. Uninstall "ann-tools" package

Please follow the guidelines below to uninstall ann-tools on Ubuntu 20.10 (Groovy Gorilla):


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

Package: ann-tools
Architecture: amd64
Version: 1.1.2+doc-7build1
Priority: optional
Section: universe/math
Source: ann
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 127
Depends: libann0, libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 5)
Filename: pool/universe/a/ann/ann-tools_1.1.2+doc-7build1_amd64.deb
Size: 33556
MD5sum: eaa18c510639fbcfdcce56dc04cc1baa
SHA1: 3c0dd627f20cc572934281aaa6b701fa40ef90d1
SHA256: 2fddb16a908e8be9db8f5d336fa1b094442378201f3899f5c7db8448e64b65fc
SHA512: e0236e8ace3cf1994d8749be950a9f96790956dde2d0d32971de45cd9ccca43a9d8d70dd2a0c2a1c9a4059501eb4a86f462326e7de4b70a22f2fec29f0aea46d
Homepage: http://www.cs.umd.edu/~mount/ANN/
Description-en: Approximate Nearest Neighbor Searching library (tools)
ANN is a library written in C++, which supports data structures and
algorithms for both exact and approximate nearest neighbor searching
in arbitrarily high dimensions. ANN assumes that distances
are measured using any class of distance functions called Minkowski
metrics. These include the well known Euclidean distance, Manhattan
distance, and max distance. ANN performs quite efficiently for point
sets ranging in size from thousands to hundreds of thousands, and in
dimensions as high as 20.
.
This package contains the ann2fig (display ANN output in fig format)
and the ann_sample (a sample demonstration for ANN) programs.
Description-md5: 94f104b403d92f88a61b5ef568b9598c