.. _example_cluster_plot_mini_batch_kmeans.py:
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Comparison of the K-Means and MiniBatchKMeans clustering algorithms
====================================================================
We want to compare the performance of the MiniBatchKMeans and KMeans:
the MiniBatchKMeans is faster, but gives slightly different results (see
:ref:`mini_batch_kmeans`).
We will cluster a set of data, first with KMeans and then with
MiniBatchKMeans, and plot the results.
We will also plot the points that are labelled differently between the two
algorithms.
.. image:: images/plot_mini_batch_kmeans_001.png
:align: center
**Python source code:** :download:`plot_mini_batch_kmeans.py `
.. literalinclude:: plot_mini_batch_kmeans.py
:lines: 15-
**Total running time of the example:** 0.30 seconds
( 0 minutes 0.30 seconds)