How to Install and Uninstall python-mpikmeans Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: November 07,2024
1. Install "python-mpikmeans" package
This tutorial shows how to install python-mpikmeans on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python-mpikmeans
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2. Uninstall "python-mpikmeans" package
Please follow the steps below to uninstall python-mpikmeans on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python-mpikmeans
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-mpikmeans package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-mpikmeans
Priority: extra
Section: universe/python
Installed-Size: 85
Maintainer: Ubuntu Developers
Original-Maintainer: Christian Kastner
Architecture: amd64
Source: libmpikmeans
Version: 1.5+dfsg-4build1
Depends: python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libmpikmeans1 (= 1.5+dfsg-4build1), python-numpy
Filename: pool/universe/libm/libmpikmeans/python-mpikmeans_1.5+dfsg-4build1_amd64.deb
Size: 25938
MD5sum: be4573193a16ab0488a1a8b1dcbda957
SHA1: 20cb684d6b1cf09378f7d43a670854634165850a
SHA256: 7cc4451e19bc2a0ef3270a0c5d5d4a7d30dcea76be9163e112d18695686f4929
Description-en: Python bindings for MPIKmeans
This library uses an algorithm that yields the very same solution as standard
k-means, even after each iteration. However, it uses triangle inequalities, and
is much faster.
.
Note: MPI here does not refer to the Message Passing Interface; rather, it is
an acronym for Max Planck Institute, where this algorithm was developed.
.
This package contains the Python bindings. Both the old, ctypes-based and the
new, Cython-based interfaces are provided.
Description-md5: 87a3ab5b4b8d98d17c5d1d4a0f1197ce
Homepage: http://mloss.org/software/view/48/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: extra
Section: universe/python
Installed-Size: 85
Maintainer: Ubuntu Developers
Original-Maintainer: Christian Kastner
Architecture: amd64
Source: libmpikmeans
Version: 1.5+dfsg-4build1
Depends: python (>= 2.7), python (<< 2.8), libc6 (>= 2.4), libmpikmeans1 (= 1.5+dfsg-4build1), python-numpy
Filename: pool/universe/libm/libmpikmeans/python-mpikmeans_1.5+dfsg-4build1_amd64.deb
Size: 25938
MD5sum: be4573193a16ab0488a1a8b1dcbda957
SHA1: 20cb684d6b1cf09378f7d43a670854634165850a
SHA256: 7cc4451e19bc2a0ef3270a0c5d5d4a7d30dcea76be9163e112d18695686f4929
Description-en: Python bindings for MPIKmeans
This library uses an algorithm that yields the very same solution as standard
k-means, even after each iteration. However, it uses triangle inequalities, and
is much faster.
.
Note: MPI here does not refer to the Message Passing Interface; rather, it is
an acronym for Max Planck Institute, where this algorithm was developed.
.
This package contains the Python bindings. Both the old, ctypes-based and the
new, Cython-based interfaces are provided.
Description-md5: 87a3ab5b4b8d98d17c5d1d4a0f1197ce
Homepage: http://mloss.org/software/view/48/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu