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_sources/auto_examples/plot_iris_example.rst.txt

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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** (0 minutes 0.479 seconds)
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.. _sphx_glr_download_auto_examples_plot_iris_example.py:

_sources/auto_examples/sg_execution_times.rst.txt

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Computation times
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=================
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.. container::
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* - :ref:`sphx_glr_auto_examples_plot_iris_example.py` (``plot_iris_example.py``)
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_sources/sg_execution_times.rst.txt

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Computation times
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=================
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* - :ref:`sphx_glr_auto_examples_plot_iris_example.py` (``../../examples/plot_iris_example.py``)
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auto_examples/plot_iris_example.html

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We visualized the clustering results and the difference between the two clustering algorithms.
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We saw that Radius Clustering can lead to smaller clusters than kmeans, which produces much more equilibrate clusters.
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The difference plot can be very useful to see where the two clustering algorithms differ.</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.479 seconds)</p>
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<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-plot-iris-example-py">
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<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
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<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>

auto_examples/sg_execution_times.html

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<section id="computation-times">
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<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>
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<p><strong>00:00.462</strong> total execution time for 1 file <strong>from auto_examples</strong>:</p>
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<p><strong>00:00.479</strong> total execution time for 1 file <strong>from auto_examples</strong>:</p>
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<div class="docutils container">
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<style scoped>
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<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
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<tbody>
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<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>
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<td><p>0.0</p></td>
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</tr>
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searchindex.js

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sg_execution_times.html

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<section id="computation-times">
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<span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
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<p><strong>00:00.462</strong> total execution time for 1 file <strong>from all galleries</strong>:</p>
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<p><strong>00:00.479</strong> total execution time for 1 file <strong>from all galleries</strong>:</p>
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<div class="docutils container">
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<style scoped>
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<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
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</thead>
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<tbody>
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<tr class="row-even"><td><p><a class="reference internal" href="auto_examples/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">../../examples/plot_iris_example.py</span></code>)</p></td>
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<td><p>00:00.479</p></td>
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<td><p>0.0</p></td>
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</tr>
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