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Metadata-Version: 1.1
Name: fastcluster
Version: 1.1.24
Summary: Fast hierarchical clustering routines for R and Python.
Home-page: http://danifold.net
Author: Daniel Müllner
Author-email: daniel@danifold.net
License: BSD <http://opensource.org/licenses/BSD-2-Clause>
Description-Content-Type: UNKNOWN
Description: 
        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.
        
        **User manual:** `fastcluster.pdf
        <https://github.com/dmuellner/fastcluster/raw/master/docs/fastcluster.pdf>`_.
        
        Installation files for Windows are provided on `PyPI
        <https://pypi.python.org/pypi/fastcluster>`_ and on `Christoph Gohlke's web
        page <http://www.lfd.uci.edu/~gohlke/pythonlibs/#fastcluster>`_.
        
        **The fastcluster package is considered stable and will undergo few changes
        from now on. If some years from now there have not been any updates, this
        does not necessarily mean that the package is unmaintained but maybe it just
        was not necessary to correct anything. Of course, please still report potential
        bugs and incompatibilities to daniel@danifold.net. You may also use**
        `my GitHub repository <https://github.com/dmuellner/fastcluster/>`_
        **for bug reports, pull requests etc.**
        
        Note that PyPI and my GitHub repository host the source code for the Python
        interface only. The archive with both the R and the Python interface is
        available on `CRAN
        <https://CRAN.R-project.org/package=fastcluster>`_ and the
        GitHub repository `“cran/fastcluster”
        <https://github.com/cran/fastcluster>`_. Even though I appear as the author also
        of this second GitHub repository, this is just an automatic, read-only mirror
        of the CRAN archive, so please do not attempt to report bugs or contact me via
        this repository.
        
        Reference: Daniel Müllner, *fastcluster: Fast Hierarchical, Agglomerative
        Clustering Routines for R and Python*, Journal of Statistical Software, **53**
        (2013), no. 9, 1–18, http://www.jstatsoft.org/v53/i09/.
        
Keywords: dendrogram,linkage,cluster,agglomerative,hierarchical,hierarchy,ward
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Intended Audience :: Science/Research
Classifier: Development Status :: 5 - Production/Stable
Requires: numpy
Provides: fastcluster