.. _example_cluster_plot_kmeans_assumptions.py:


====================================
Demonstration of k-means assumptions
====================================

This example is meant to illustrate situations where k-means will produce
unintuitive and possibly unexpected clusters. In the first three plots, the
input data does not conform to some implicit assumption that k-means makes and
undesirable clusters are produced as a result. In the last plot, k-means
returns intuitive clusters despite unevenly sized blobs.



.. image:: images/\plot_kmeans_assumptions_001.png
    :align: center




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

.. literalinclude:: plot_kmeans_assumptions.py
    :lines: 12-

**Total running time of the example:**  0.80 seconds
( 0 minutes  0.80 seconds)