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Release 1.4.1.post3
===================
This is a "house-keeping" commit. No new features or fixes are introduced.
* Update CI test rules to include amd64 and ppc (santosh653)
Release 1.4.1.post2
===================
This is a "house-keeping" commit. No new features or fixes are introduced.
* Update changelog.
* Removed the ``Pipfile`` which was introduced in ``1.4.1.post1``. The file
caused false positives on security checks. Additionally, having a ``Pipfile``
is mainly useful in applications, and not in libraries like this one.
Release 1.4.1.post1
===================
This is a "house-keeping" commit. No new features or fixes are introduced.
* Update changelog.
* Switch doc-building to use ``pipenv`` & update ``Pipfile`` accordingly.
Release 1.4.1
=============
* Fix clustering of dictionaries. See GitHub issue #28 (Tim Littlefair).
Release 1.4.0
=============
* Added a "display" method to hierarchical clusters (by 1kastner).
Release 1.3.2 & 1.3.3
=====================
* Fix regression introduced in 1.3.1 related to package version metadata.
Release 1.3.1
=============
* Don't break if the cluster is initiated with iterable elements (GitHub Issue
#20).
* Fix package version metadata in setup.py
Release 1.3.0
=============
* Performance improvments for hierarchical clustering (at the cost of memory)
* Cluster instances are now iterable. It will iterate over each element,
resulting in a flat list of items.
* New option to specify a progress callback to hierarchical clustring. This
method will be called on each iteration for hierarchical clusters. It gets
two numeric values as argument: The total count of elements, and the number
of processed elements. It gives users a way to present to progress on screen.
* The library now also has a ``__version__`` member.
Release 1.2.2
=============
* Package metadata fixed.
Release 1.2.1
=============
* Fixed an issue in multiprocessing code.
Release 1.2.0
=============
* Multiprocessing (by loisaidasam)
* Python 3 support
* Split up one big file into smaller more logical sub-modules
* Fixed https://github.com/exhuma/python-cluster/issues/11
* Documentation update.
* Migrated to GitHub
Release 1.1.1b3
===============
* Fixed bug #1727558
* Some more unit-tests
* ValueError changed to ClusteringError where appropriate
Release 1.1.1b2
===============
* Fixed bug #1604859 (thanks to Willi Richert for reporting it)
Release 1.1.1b1
===============
* Applied SVN patch [1535137] (thanks ajaksu)
* Topology output supported
* ``data`` and ``raw_data`` are now properties.
Release 1.1.0b1
===============
* KMeans Clustering implemented for simple numeric tuples.
Data in the form ``[(1,1), (2,1), (5,3), ...]`` can be clustered.
Usage::
>>> from cluster import KMeansClustering
>>> cl = KMeansClustering([(1,1), (2,1), (5,3), ...])
>>> clusters = cl.getclusters(2)
The method ``getclusters`` takes the amount of clusters you would like to
have as parameter.
Only numeric values are supported in the tuples. The reason for this is
that the "centroid" method which I use, essentially returns a tuple of
floats. So you will lose any other kind of metadata. Once I figure out a
way how to recode that method, other types should be possible.
Release 1.0.1b2
===============
* Optimized calculation of the hierarchical clustering by using the fact, that
the generated matrix is symmetrical.
Release 1.0.1b1
===============
* Implemented complete-, average-, and uclus-linkage methods. You can select
one by specifying it in the constructor, for example::
cl = HierarchicalClustering(data, distfunc, linkage='uclus')
or by setting it before starting the clustering process::
cl = HierarchicalClustering(data, distfunc)
cl.setLinkageMethod('uclus')
cl.cluster()
* Clustering is not executed on object creation, but on the first call of
``getlevel``. You can force the creation of the clusters by calling the
``cluster`` method as shown above.
.. vim: filetype=rst :
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