.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_plot_lgmlvq.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_plot_lgmlvq.py:


=========================================================
Localized Generalized Matrix Learning Vector Quantization
=========================================================
This example shows how LGMLVQ projects and classifies.
The plot shows the target class of each data point
(big circle) and which class was predicted (smaller circle). It also
shows the prototypes (black diamond) and their labels (small point inside the diamond).
The projected data is shown in the right plot.





.. image:: /auto_examples/images/sphx_glr_plot_lgmlvq_001.png
    :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    LGMLVQ:
    ('variance coverd by projection:', 100.0)
    ('variance coverd by projection:', 100.0)
    ('classification accuracy:', 0.805)




|


.. code-block:: python

    import matplotlib.pyplot as plt
    import numpy as np

    from sklearn_lvq import LgmlvqModel
    from sklearn_lvq.utils import plot2d

    print(__doc__)

    nb_ppc = 100
    toy_label = np.append(np.zeros(nb_ppc), np.ones(nb_ppc), axis=0)

    print('LGMLVQ:')
    toy_data = np.append(
        np.random.multivariate_normal([0, 1], np.array([[5, -4], [-4, 6]]),
                                      size=nb_ppc),
        np.random.multivariate_normal([0, 0], np.array([[5, 4], [4, 6]]),
                                      size=nb_ppc), axis=0)
    lgmlvq = LgmlvqModel()
    lgmlvq.fit(toy_data, toy_label)
    plot2d(lgmlvq, toy_data, toy_label, 1, 'lgmlvq')

    print('classification accuracy:', lgmlvq.score(toy_data, toy_label))
    plt.show()

**Total running time of the script:** ( 0 minutes  0.396 seconds)


.. _sphx_glr_download_auto_examples_plot_lgmlvq.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_lgmlvq.py <plot_lgmlvq.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_lgmlvq.ipynb <plot_lgmlvq.ipynb>`


.. only:: html

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

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