How to Install and Uninstall python3-cluster Package on openSUSE Leap
Last updated: November 07,2024
1. Install "python3-cluster" package
In this section, we are going to explain the necessary steps to install python3-cluster on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-cluster
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2. Uninstall "python3-cluster" package
Please follow the guidance below to uninstall python3-cluster on openSUSE Leap:
$
sudo zypper remove
python3-cluster
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3. Information about the python3-cluster package on openSUSE Leap
Information for package python3-cluster:
----------------------------------------
Repository : Main Repository
Name : python3-cluster
Version : 1.4.1.post2-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 128.9 KiB
Installed : No
Status : not installed
Source package : python-cluster-1.4.1.post2-bp155.2.10.src
Upstream URL : https://github.com/exhuma/python-cluster
Summary : Clustering library for python
Description :
The python-cluster package allows you to create several groups
(clusters) of objects from a list. It’s meant to be flexible and able
to cluster any object. To ensure this kind of flexibility, you need
not only to supply the list of objects, but also a function that
calculates the similarity between two of those objects. For simple
datatypes, like integers, this can be as simple as a subtraction, but
more complex calculations are possible. Right now, it is possible to
generate the clusters using a hierarchical clustering and the popular
K-Means algorithm. For the hierarchical algorithm there are different
“linkage” (single, complete, average and uclus) methods available.
----------------------------------------
Repository : Main Repository
Name : python3-cluster
Version : 1.4.1.post2-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 128.9 KiB
Installed : No
Status : not installed
Source package : python-cluster-1.4.1.post2-bp155.2.10.src
Upstream URL : https://github.com/exhuma/python-cluster
Summary : Clustering library for python
Description :
The python-cluster package allows you to create several groups
(clusters) of objects from a list. It’s meant to be flexible and able
to cluster any object. To ensure this kind of flexibility, you need
not only to supply the list of objects, but also a function that
calculates the similarity between two of those objects. For simple
datatypes, like integers, this can be as simple as a subtraction, but
more complex calculations are possible. Right now, it is possible to
generate the clusters using a hierarchical clustering and the popular
K-Means algorithm. For the hierarchical algorithm there are different
“linkage” (single, complete, average and uclus) methods available.