.. _example_neighbors_plot_digits_kde_sampling.py:


=========================
Kernel Density Estimation
=========================

This example shows how kernel density estimation (KDE), a powerful
non-parametric density estimation technique, can be used to learn
a generative model for a dataset.  With this generative model in place,
new samples can be drawn.  These new samples reflect the underlying model
of the data.


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

.. literalinclude:: plot_digits_kde_sampling.py
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