.. _example_connectivity_plot_rest_clustering.py:


Ward clustering to learn a brain parcellation from rest fMRI
====================================================================

We use spatially-constrained Ward-clustering to create a set of
parcels. These parcels are particularly interesting for creating a
'compressed' representation of the data, replacing the data in the fMRI
images by mean on the parcellation.

This parcellation may be useful in a supervised learning, see for
instance: `A supervised clustering approach for fMRI-based inference of
brain states <https://hal.inria.fr/inria-00589201>`_, Michel et al,
Pattern Recognition 2011.




.. rst-class:: sphx-glr-horizontal





**Python source code:** :download:`plot_rest_clustering.py <plot_rest_clustering.py>`

.. literalinclude:: plot_rest_clustering.py
    :lines: 16-

**Total running time of the example:**  0.00 seconds
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