How to Install and Uninstall python-fastcluster Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: November 23,2024
1. Install "python-fastcluster" package
This guide let you learn how to install python-fastcluster on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python-fastcluster
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2. Uninstall "python-fastcluster" package
This tutorial shows how to uninstall python-fastcluster on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python-fastcluster
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-fastcluster package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-fastcluster
Priority: optional
Section: universe/python
Installed-Size: 97
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Source: r-cran-fastcluster
Version: 1.1.16-2
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~)
Filename: pool/universe/r/r-cran-fastcluster/python-fastcluster_1.1.16-2_amd64.deb
Size: 38256
MD5sum: 62109301b70ddae7f16554797c97736f
SHA1: a8876bbbd75afa56778575dfdc46e29a5f7a5dc2
SHA256: e404822de6e6d380da12ed8ba2e61a8bc75dff4713b486ceb2d38f390ffc6658
Description-en: Fast hierarchical clustering routines for Python
This library provides Python functions for hierarchical
clustering. It generates hierarchical clusters from distance matrices
or from vector data.
.
Part of this module is intended to replace the functions
.
linkage, single, complete, average, weighted, centroid, median, ward
.
in the module scipy.cluster.hierarchy with the same functionality but
much faster algorithms. Moreover, the function 'linkage_vector'
provides memory-efficient clustering for vector data.
.
The interface is very similar to MATLAB's Statistics Toolbox API to
make code easier to port from MATLAB to Python/Numpy. The core
implementation of this library is in C++ for efficiency.
.
This package provides the package's Python interface.
Description-md5: d2ed6fcaa04a0e048d24cdfca0106ce6
Homepage: http://cran.r-project.org/web/packages/fastcluster/index.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/python
Installed-Size: 97
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Architecture: amd64
Source: r-cran-fastcluster
Version: 1.1.16-2
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (>= 2.7.5-5~)
Filename: pool/universe/r/r-cran-fastcluster/python-fastcluster_1.1.16-2_amd64.deb
Size: 38256
MD5sum: 62109301b70ddae7f16554797c97736f
SHA1: a8876bbbd75afa56778575dfdc46e29a5f7a5dc2
SHA256: e404822de6e6d380da12ed8ba2e61a8bc75dff4713b486ceb2d38f390ffc6658
Description-en: Fast hierarchical clustering routines for Python
This library provides Python functions for hierarchical
clustering. It generates hierarchical clusters from distance matrices
or from vector data.
.
Part of this module is intended to replace the functions
.
linkage, single, complete, average, weighted, centroid, median, ward
.
in the module scipy.cluster.hierarchy with the same functionality but
much faster algorithms. Moreover, the function 'linkage_vector'
provides memory-efficient clustering for vector data.
.
The interface is very similar to MATLAB's Statistics Toolbox API to
make code easier to port from MATLAB to Python/Numpy. The core
implementation of this library is in C++ for efficiency.
.
This package provides the package's Python interface.
Description-md5: d2ed6fcaa04a0e048d24cdfca0106ce6
Homepage: http://cran.r-project.org/web/packages/fastcluster/index.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu