Tutorials
=========

Density based common-nearest-neighbour (CNN) clustering can be applied
to arbitrary, high-dimensional data sets. Here we demonstrate how to
use the :ref:`cnnclustering` Python package to assign cluster labels to data
points in different contexts (:ref:`cnn <sec_api_cnn>` module) and how to build a core-set
Markov-state model (csMSM) on top of a cluster result (:ref:`cmsm <sec_api_cmsm>` module).

.. toctree::
   :maxdepth: 2
   :titlesonly:

   ../tutorial/basic_usage.ipynb
   ../tutorial/scikit_learn_datasets.ipynb
   ../tutorial/hierarchical_clustering_basics.ipynb
   ../tutorial/data_input_formats.ipynb
   ../tutorial/algorithm_explained.ipynb
   ../tutorial/md_example.ipynb
