.. _sphx_glr_auto_examples_datasets:

Datasets
--------

Examples illustrating a particular dataset or data generation technique.



.. raw:: html

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

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Shows the use of data visualization tools, clustering and functional principal component analysis (FPCA).">

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_aemet_unsupervised_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_aemet_unsupervised.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Meteorological data: data visualization, clustering, and functional PCA</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use numeric SDE solvers to simulate solutions of Stochastic Differential Equations (SDEs).">

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_langevin_dynamics_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_langevin_dynamics.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">SDE simulation: Langevin dynamics</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use numeric SDE solvers to simulate solutions of Stochastic Differential Equations (SDEs).">

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_sde_simulation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_sde_simulation.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">SDE simulation: creating synthetic datasets using SDEs</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Shows the use of derivatives, functional regression and variable selection for functional data.">

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_tecator_regression_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_tecator_regression.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Spectrometric data: derivatives, regression, and variable selection</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Shows the use of functional preprocessing tools such as smoothing and registration, and functional classification methods.">

.. only:: html

  .. image:: /auto_examples/datasets/images/thumb/sphx_glr_plot_phonemes_classification_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_datasets_plot_phonemes_classification.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Voice signals: smoothing, registration, and classification</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/datasets/plot_aemet_unsupervised
   /auto_examples/datasets/plot_langevin_dynamics
   /auto_examples/datasets/plot_sde_simulation
   /auto_examples/datasets/plot_tecator_regression
   /auto_examples/datasets/plot_phonemes_classification