Sign Up
Log In
Log In
or
Sign Up
Places
All Projects
Status Monitor
Collapse sidebar
devel:languages:python:backports
python-cluster
python-cluster.spec
Overview
Repositories
Revisions
Requests
Users
Attributes
Meta
File python-cluster.spec of Package python-cluster
# # spec file for package python-cluster # # Copyright (c) 2024 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # %{?!python_module:%define python_module() python-%{**} python3-%{**}} %define skip_python36 1 Name: python-cluster Version: 1.4.1.post2 Release: 0 Summary: Clustering library for python License: LGPL-2.0-or-later URL: https://github.com/exhuma/python-cluster Source: https://files.pythonhosted.org/packages/source/c/cluster/cluster-%{version}.tar.gz BuildRequires: %{python_module pip} BuildRequires: %{python_module setuptools} BuildRequires: fdupes BuildRequires: python-rpm-macros Requires: python-matplotlib >= 1.2 Requires: python-numpy >= 1.2 Requires: python-scipy >= 0.12 BuildArch: noarch %python_subpackages %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. %prep %setup -q -n cluster-%{version} %build %python_build %install %python_install %python_expand %fdupes %{buildroot}%{$python_sitelib} %files %{python_files} %license LICENSE %{python_sitelib}/* %changelog
Locations
Projects
Search
Status Monitor
Help
OpenBuildService.org
Documentation
API Documentation
Code of Conduct
Contact
Support
@OBShq
Terms
openSUSE Build Service is sponsored by
The Open Build Service is an
openSUSE project
.
Sign Up
Log In
Places
Places
All Projects
Status Monitor