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<li><a class="reference internal" href="#">An example of K-Means++ initialization</a></li>
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to download the full example code or to run this example in your browser via Binder</p>
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<section class="sphx-glr-example-title" id="an-example-of-k-means-initialization">
<span id="sphx-glr-auto-examples-cluster-plot-kmeans-plusplus-py"></span><h1>An example of K-Means++ initialization<a class="headerlink" href="#an-example-of-k-means-initialization" title="Permalink to this heading">¶</a></h1>
<p>An example to show the output of the <a class="reference internal" href="../../modules/generated/sklearn.cluster.kmeans_plusplus.html#sklearn.cluster.kmeans_plusplus" title="sklearn.cluster.kmeans_plusplus"><code class="xref py py-func docutils literal notranslate"><span class="pre">sklearn.cluster.kmeans_plusplus</span></code></a>
function for generating initial seeds for clustering.</p>
<p>K-Means++ is used as the default initialization for <a class="reference internal" href="../../modules/clustering.html#k-means"><span class="std std-ref">K-means</span></a>.</p>
<img src="../../_images/sphx_glr_plot_kmeans_plusplus_001.png" srcset="../../_images/sphx_glr_plot_kmeans_plusplus_001.png" alt="K-Means++ Initialization" class = "sphx-glr-single-img"/><div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.cluster</span> <span class="kn">import</span> <a href="../../modules/generated/sklearn.cluster.kmeans_plusplus.html#sklearn.cluster.kmeans_plusplus" title="sklearn.cluster.kmeans_plusplus" class="sphx-glr-backref-module-sklearn-cluster sphx-glr-backref-type-py-function"><span class="n">kmeans_plusplus</span></a>
<span class="kn">from</span> <span class="nn">sklearn.datasets</span> <span class="kn">import</span> <a href="../../modules/generated/sklearn.datasets.make_blobs.html#sklearn.datasets.make_blobs" title="sklearn.datasets.make_blobs" class="sphx-glr-backref-module-sklearn-datasets sphx-glr-backref-type-py-function"><span class="n">make_blobs</span></a>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="c1"># Generate sample data</span>
<span class="n">n_samples</span> <span class="o">=</span> <span class="mi">4000</span>
<span class="n">n_components</span> <span class="o">=</span> <span class="mi">4</span>
<span class="n">X</span><span class="p">,</span> <span class="n">y_true</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.datasets.make_blobs.html#sklearn.datasets.make_blobs" title="sklearn.datasets.make_blobs" class="sphx-glr-backref-module-sklearn-datasets sphx-glr-backref-type-py-function"><span class="n">make_blobs</span></a><span class="p">(</span>
<span class="n">n_samples</span><span class="o">=</span><span class="n">n_samples</span><span class="p">,</span> <span class="n">centers</span><span class="o">=</span><span class="n">n_components</span><span class="p">,</span> <span class="n">cluster_std</span><span class="o">=</span><span class="mf">0.60</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span>
<span class="p">)</span>
<span class="n">X</span> <span class="o">=</span> <span class="n">X</span><span class="p">[:,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="c1"># Calculate seeds from k-means++</span>
<span class="n">centers_init</span><span class="p">,</span> <span class="n">indices</span> <span class="o">=</span> <a href="../../modules/generated/sklearn.cluster.kmeans_plusplus.html#sklearn.cluster.kmeans_plusplus" title="sklearn.cluster.kmeans_plusplus" class="sphx-glr-backref-module-sklearn-cluster sphx-glr-backref-type-py-function"><span class="n">kmeans_plusplus</span></a><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">n_clusters</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
<span class="c1"># Plot init seeds along side sample data</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="matplotlib.pyplot.figure" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="n">colors</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"#4EACC5"</span><span class="p">,</span> <span class="s2">"#FF9C34"</span><span class="p">,</span> <span class="s2">"#4E9A06"</span><span class="p">,</span> <span class="s2">"m"</span><span class="p">]</span>
<span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">col</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">colors</span><span class="p">):</span>
<span class="n">cluster_data</span> <span class="o">=</span> <span class="n">y_true</span> <span class="o">==</span> <span class="n">k</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">cluster_data</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X</span><span class="p">[</span><span class="n">cluster_data</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="n">col</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s2">"."</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter" title="matplotlib.pyplot.scatter" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">centers_init</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">centers_init</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">c</span><span class="o">=</span><span class="s2">"b"</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.title.html#matplotlib.pyplot.title" title="matplotlib.pyplot.title" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s2">"K-Means++ Initialization"</span><span class="p">)</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.xticks.html#matplotlib.pyplot.xticks" title="matplotlib.pyplot.xticks" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">xticks</span></a><span class="p">([])</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.yticks.html#matplotlib.pyplot.yticks" title="matplotlib.pyplot.yticks" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">yticks</span></a><span class="p">([])</span>
<a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
</pre></div>
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