.. _example_cluster_plot_dbscan.py:


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Demo of DBSCAN clustering algorithm
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Finds core samples of high density and expands clusters from them.




.. image:: images/plot_dbscan_1.png
    :align: center


**Script output**::

  Estimated number of clusters: 2
  Homogeneity: 0.560
  Completeness: 0.802
  V-measure: 0.659
  Adjusted Rand Index: 0.541
  Adjusted Mutual Information: 0.559
  Silhouette Coefficient: 0.417



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

.. literalinclude:: plot_dbscan.py
    :lines: 10-

**Total running time of the example:**  1.97 seconds