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        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "License :: OSI Approved :: GNU General Public License v2 (GPLv2)",
            "Operating System :: OS Independent",
            "Programming Language :: C++",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "This library provides Python functions for hierarchical clustering. It\ngenerates hierarchical clusters from distance matrices or from vector data.\n\nPart of this module is intended to replace the functions ::\n\n    linkage, single, complete, average, weighted, centroid, median, ward\n\nin the module ``scipy.cluster.hierarchy`` with the same functionality but much\nfaster algorithms. Moreover, the function ``linkage_vector`` provides\nmemory-efficient clustering for vector data.\n\nThe interface is very similar to MATLAB's Statistics Toolbox API to make code\neasier to port from MATLAB to Python/NumPy. The core implementation of this\nlibrary is in C++ for efficiency.\n\n**User manual:** `fastcluster.pdf\n<https://github.com/dmuellner/fastcluster/raw/master/docs/fastcluster.pdf>`_.\n\nInstallation files for Windows are provided on `PyPI\n<https://pypi.python.org/pypi/fastcluster>`_ and on `Christoph Gohlke's web\npage <http://www.lfd.uci.edu/~gohlke/pythonlibs/#fastcluster>`_.\n\n**The fastcluster package is considered stable and will undergo few changes\nfrom now on. If some years from now there have not been any updates, this\ndoes not necessarily mean that the package is unmaintained but maybe it just\nwas not necessary to correct anything. Of course, please still report potential\nbugs and incompatibilities to daniel@danifold.net. You may also use**\n`my GitHub repository <https://github.com/dmuellner/fastcluster/>`_\n**for bug reports, pull requests etc.**\n\nNote that PyPI and my GitHub repository host the source code for the Python\ninterface only. The archive with both the R and the Python interface is\navailable on `CRAN\n<https://CRAN.R-project.org/package=fastcluster>`_ and the\nGitHub repository `\u201ccran/fastcluster\u201d\n<https://github.com/cran/fastcluster>`_. Even though I appear as the author also\nof this second GitHub repository, this is just an automatic, read-only mirror\nof the CRAN archive, so please do not attempt to report bugs or contact me via\nthis repository.\n\nChristoph Dalitz wrote a pure `C++ interface to fastcluster\n<http://informatik.hsnr.de/~dalitz/data/hclust>`_.\n\nReference: Daniel M\u00fcllner, *fastcluster: Fast Hierarchical, Agglomerative\nClustering Routines for R and Python*, Journal of Statistical Software, **53**\n(2013), no. 9, 1\u201318, http://www.jstatsoft.org/v53/i09/.",
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