deploy: 950c1d9

Author: quentinhaenn

_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -525,7 +525,7 @@ The difference plot can be very useful to see where the two clustering algorithm
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.475 seconds)
+   **Total running time of the script:** (0 minutes 0.462 seconds)
 
 
 .. _sphx_glr_download_auto_examples_plot_iris_example.py:

_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:00.475** total execution time for 1 file **from auto_examples**:
+**00:00.462** total execution time for 1 file **from auto_examples**:
 
 .. container::
 
@@ -33,5 +33,5 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_iris_example.py` (``plot_iris_example.py``)
-     - 00:00.475
+     - 00:00.462
      - 0.0

_downloads/77b9e52ede6dc6a82f8015e94df3d763/plot_iris_example.zip

@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:00.475** total execution time for 1 file **from all galleries**:
+**00:00.462** total execution time for 1 file **from all galleries**:
 
 .. container::
 
@@ -33,5 +33,5 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_plot_iris_example.py` (``../../examples/plot_iris_example.py``)
-     - 00:00.475
+     - 00:00.462
      - 0.0

_images/sphx_glr_plot_iris_example_002.png

@@ -769,7 +769,7 @@ <h2>Conclusion<a class="headerlink" href="#conclusion" title="Link to this headi
 We visualized the clustering results and the difference between the two clustering algorithms.
 We saw that Radius Clustering can lead to smaller clusters than kmeans, which produces much more equilibrate clusters.
 The difference plot can be very useful to see where the two clustering algorithms differ.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.475 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.462 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-iris-example-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/b4cf190b888ee49e92905caa55256121/plot_iris_example.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_iris_example.ipynb</span></code></a></p>

_images/sphx_glr_plot_iris_example_003.png

@@ -419,7 +419,7 @@
 
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:00.475</strong> total execution time for 1 file <strong>from auto_examples</strong>:</p>
+<p><strong>00:00.462</strong> total execution time for 1 file <strong>from auto_examples</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -441,7 +441,7 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="plot_iris_example.html#sphx-glr-auto-examples-plot-iris-example-py"><span class="std std-ref">Iris Dataset Clustering Example</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_iris_example.py</span></code>)</p></td>
-<td><p>00:00.475</p></td>
+<td><p>00:00.462</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>