
:orphan:

.. _sphx_glr_auto_examples_cluster_sg_execution_times:

Computation times
=================
**01:18.791** total execution time for **auto_examples_cluster** files:

+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_comparison.py` (``plot_cluster_comparison.py``)                                                       | 00:24.305 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_digits_linkage.py` (``plot_digits_linkage.py``)                                                               | 00:22.126 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_birch_vs_minibatchkmeans.py` (``plot_birch_vs_minibatchkmeans.py``)                                           | 00:09.514 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_coin_segmentation.py` (``plot_coin_segmentation.py``)                                                         | 00:03.954 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_stability_low_dim_dense.py` (``plot_kmeans_stability_low_dim_dense.py``)                               | 00:02.242 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_digits.py` (``plot_kmeans_digits.py``)                                                                 | 00:01.734 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_linkage_comparison.py` (``plot_linkage_comparison.py``)                                                       | 00:01.661 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_inductive_clustering.py` (``plot_inductive_clustering.py``)                                                   | 00:01.658 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_face_compress.py` (``plot_face_compress.py``)                                                                 | 00:01.529 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering.py` (``plot_agglomerative_clustering.py``)                                           | 00:01.471 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_segmentation_toy.py` (``plot_segmentation_toy.py``)                                                           | 00:01.194 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_color_quantization.py` (``plot_color_quantization.py``)                                                       | 00:01.004 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_silhouette_analysis.py` (``plot_kmeans_silhouette_analysis.py``)                                       | 00:01.002 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_adjusted_for_chance_measures.py` (``plot_adjusted_for_chance_measures.py``)                                   | 00:00.915 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_clustering_metrics.py` (``plot_agglomerative_clustering_metrics.py``)                           | 00:00.851 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_optics.py` (``plot_optics.py``)                                                                               | 00:00.778 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_feature_agglomeration_vs_univariate_selection.py` (``plot_feature_agglomeration_vs_univariate_selection.py``) | 00:00.496 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_kmeans_assumptions.py` (``plot_kmeans_assumptions.py``)                                                       | 00:00.377 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_coin_ward_segmentation.py` (``plot_coin_ward_segmentation.py``)                                               | 00:00.346 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_mean_shift.py` (``plot_mean_shift.py``)                                                                       | 00:00.326 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_ward_structured_vs_unstructured.py` (``plot_ward_structured_vs_unstructured.py``)                             | 00:00.293 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_cluster_iris.py` (``plot_cluster_iris.py``)                                                                   | 00:00.266 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_affinity_propagation.py` (``plot_affinity_propagation.py``)                                                   | 00:00.239 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_mini_batch_kmeans.py` (``plot_mini_batch_kmeans.py``)                                                         | 00:00.179 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_digits_agglomeration.py` (``plot_digits_agglomeration.py``)                                                   | 00:00.162 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_dbscan.py` (``plot_dbscan.py``)                                                                               | 00:00.077 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_agglomerative_dendrogram.py` (``plot_agglomerative_dendrogram.py``)                                           | 00:00.069 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_auto_examples_cluster_plot_dict_face_patches.py` (``plot_dict_face_patches.py``)                                                         | 00:00.022 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
