.. _sphx_glr_auto_examples_dim_reduction:

Dimension Reduction Examples
============================


.. raw:: html

  <div id='sg-tag-list' class='sphx-glr-tag-list'></div>


.. raw:: html

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

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example compares several dimensionality reduction algorithms (PCA, t-SNE, UMAP, and Pacmap) across different parameter settings using a synthetic high-dimensional dataset. It demonstrates how hyperparameter choices can drastically affect the resulting embeddings.">

.. only:: html

  .. image:: /auto_examples/dim_reduction/images/thumb/sphx_glr_plot_01_compare_methods_thumb.png
    :alt:

  :doc:`/auto_examples/dim_reduction/plot_01_compare_methods`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Comprehensive Comparison of Dimensionality Reduction Methods</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the &quot;Advanced Exploration and Benchmarking&quot; pillar of the coco_pipe strategic vision. We move beyond &quot;looking good&quot; and use rigorous metrics (Trustworthiness, Continuity, LCMC) to quantify embedding distortion.">

.. only:: html

  .. image:: /auto_examples/dim_reduction/images/thumb/sphx_glr_plot_02_quality_metrics_thumb.png
    :alt:

  :doc:`/auto_examples/dim_reduction/plot_02_quality_metrics`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Benchmarking Dimensionality Reduction: The Epistemology of Embeddings</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/dim_reduction/plot_01_compare_methods
   /auto_examples/dim_reduction/plot_02_quality_metrics