.. _example_cluster_plot_mini_batch_kmeans.py: ==================================================================== 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:** 0.77 seconds ( 0 minutes 0.77 seconds)