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Name: python3-fastcluster | Distribution: SUSE Linux Enterprise 15 SP3 |
Version: 1.1.26 | Vendor: openSUSE |
Release: bp153.1.18 | Build date: Sun Mar 7 00:39:30 2021 |
Group: Development/Languages/Python | Build host: obs-arm-9 |
Size: 152947 | Source RPM: python-fastcluster-1.1.26-bp153.1.18.src.rpm |
Packager: https://bugs.opensuse.org | |
Url: https://github.com/dmuellner/fastcluster | |
Summary: 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.
BSD-2-Clause
* Thu Jan 30 2020 Todd R <toddrme2178@gmail.com> - update to version 1.1.26: * Small updates for Python 3.8. * Mon Sep 17 2018 Arun Persaud <arun@gmx.de> - update to version 1.1.25: * Removed all “#pragma GCC diagnostic” directives in .cpp files due to changed CRAN requirements (CRAN repository only, not the GitHub repository). * Wed Jul 18 2018 tchvatal@suse.com - Stricten version requirements on numpy to >= 1.9 * Sat Nov 04 2017 arun@gmx.de - update to version 1.1.24: * R 3.5 corrects the formula for the “Canberra” metric. See https://bugs.r-project.org/bugzilla/show_bug.cgi?id=17285. The formula in the fastcluster package was changed accordingly. This concerns only the R interface. SciPy and fastcluster's Python interface always had the correct formula. * Thu May 04 2017 toddrme2178@gmail.com - Update to Version 1.1.23 * setup.py: Late NumPy import for better dependency management. - Update to Version 1.1.22 * No fenv header usage if software floating-point emulation is used (bug report: NaN test failed on Debian armel). - Implement single-spec version. * Sun Oct 30 2016 jengelh@inai.de - Update descriptions. Drop authorship and irrelevant future notes. * Fri Oct 28 2016 toddrme2178@gmail.com - Update to version 1.1.21: * Appropiate use of std namespace - Update to version 1.1.20: * New version number due to PyPI upload error. - Update to version 1.1.19: * Fixed unit tests. They can be run with "python setup.py test" now. - Update to version 1.1.18: * Fixed missing NumPy header include path. - Update to version 1.1.17: * Resolved MSVC compiler warnings. - Update to version 1.1.16: * Support for large distance matrices (more than 2^31 entries, R's long vector support since version 3.0.0). - Update to version 1.1.15: * Fixed the unit test to work with old and new R versions (see the changes in stats::hclust in R 3.1.0). - Update to version 1.1.14: * Updated the DESCRIPTION file according to CRAN rules. * Renamed the "ward" method for dissimilarity input to "ward.D" in the R interface and created a new method "ward.D2", following changes in R's hclust package. * Fri Nov 28 2014 toddrme2178@gmail.com - Initial version
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