:orphan:

.. _general_examples:

Example Gallery
===============

Introductory examples.



.. raw:: html

    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="DenMune&#x27;s dim_reducer parameter is flexible, allowing you to pass not just pre-defined strings (&#x27;tsne&#x27;, &#x27;pca&#x27;) but also any scikit-learn compatible estimator instance.">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_custom_reducer_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_custom_reducer.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">DenMune with a Custom Dimensionality Reducer (UMAP)</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the primary use case of the DenMune algorithm: identifying clusters of arbitrary shapes.">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_plot_basic_clustering_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_basic_clustering.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">DenMune: Basic Clustering of Non-Convex Shapes</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="The k_nearest parameter is the most critical hyperparameter in the DenMune algorithm. The original paper claims that the algorithm is stable over a wide range of k.">

.. only:: html

  .. image:: /auto_examples/images/thumb/sphx_glr_plot_k_sensitivity_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_plot_k_sensitivity.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Analyzing DenMune's Sensitivity to the k_nearest Parameter</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/custom_reducer
   /auto_examples/plot_basic_clustering
   /auto_examples/plot_k_sensitivity


.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-gallery

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_