K-Means Clustering
==================

.. moduleauthor:: Chris Diesch <cdiesch@sequencelogic.net>

This is a toolset for performing k-means clustering on a library for the purpose of improving our classification engines
and library quality using python scripts. This toolset has intentionally separated much of the functionality into small
easy to use and understand 'chunks'. The next step is to create a 'k-means setup' script which will handle setting up the
clusters and a separate 'k-means classify' script which will be responsible for classifying a document based on those
clusters.

.. toctree::
    :maxdepth: 2

    Dictionary.rst
    DoctypeCenter.rst
    GetDoctypeCenters.rst
    GetClosestCenter.rst
    DocumentDistance.rst