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<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code>.cluster_optics_dbscan</a><ul>
<li><a class="reference internal" href="#sklearn.cluster.cluster_optics_dbscan"><code class="docutils literal notranslate"><span class="pre">cluster_optics_dbscan</span></code></a></li>
<li><a class="reference internal" href="#examples-using-sklearn-cluster-cluster-optics-dbscan">Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.cluster.cluster_optics_dbscan</span></code></a></li>
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<section id="sklearn-cluster-cluster-optics-dbscan">
<h1><a class="reference internal" href="../classes.html#module-sklearn.cluster" title="sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code></a>.cluster_optics_dbscan<a class="headerlink" href="#sklearn-cluster-cluster-optics-dbscan" title="Permalink to this heading">¶</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="sklearn.cluster.cluster_optics_dbscan">
<span class="sig-prename descclassname"><span class="pre">sklearn.cluster.</span></span><span class="sig-name descname"><span class="pre">cluster_optics_dbscan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reachability</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">core_distances</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ordering</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/702316c27/sklearn/cluster/_optics.py#L684"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sklearn.cluster.cluster_optics_dbscan" title="Permalink to this definition">¶</a></dt>
<dd><p>Perform DBSCAN extraction for an arbitrary epsilon.</p>
<p>Extracting the clusters runs in linear time. Note that this results in
<code class="docutils literal notranslate"><span class="pre">labels_</span></code> which are close to a <a class="reference internal" href="sklearn.cluster.DBSCAN.html#sklearn.cluster.DBSCAN" title="sklearn.cluster.DBSCAN"><code class="xref py py-class docutils literal notranslate"><span class="pre">DBSCAN</span></code></a> with
similar settings and <code class="docutils literal notranslate"><span class="pre">eps</span></code>, only if <code class="docutils literal notranslate"><span class="pre">eps</span></code> is close to <code class="docutils literal notranslate"><span class="pre">max_eps</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>reachability</strong><span class="classifier">ndarray of shape (n_samples,)</span></dt><dd><p>Reachability distances calculated by OPTICS (<code class="docutils literal notranslate"><span class="pre">reachability_</span></code>).</p>
</dd>
<dt><strong>core_distances</strong><span class="classifier">ndarray of shape (n_samples,)</span></dt><dd><p>Distances at which points become core (<code class="docutils literal notranslate"><span class="pre">core_distances_</span></code>).</p>
</dd>
<dt><strong>ordering</strong><span class="classifier">ndarray of shape (n_samples,)</span></dt><dd><p>OPTICS ordered point indices (<code class="docutils literal notranslate"><span class="pre">ordering_</span></code>).</p>
</dd>
<dt><strong>eps</strong><span class="classifier">float</span></dt><dd><p>DBSCAN <code class="docutils literal notranslate"><span class="pre">eps</span></code> parameter. Must be set to < <code class="docutils literal notranslate"><span class="pre">max_eps</span></code>. Results
will be close to DBSCAN algorithm if <code class="docutils literal notranslate"><span class="pre">eps</span></code> and <code class="docutils literal notranslate"><span class="pre">max_eps</span></code> are close
to one another.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><dl class="simple">
<dt><strong>labels_</strong><span class="classifier">array of shape (n_samples,)</span></dt><dd><p>The estimated labels.</p>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
<section id="examples-using-sklearn-cluster-cluster-optics-dbscan">
<h2>Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.cluster.cluster_optics_dbscan</span></code><a class="headerlink" href="#examples-using-sklearn-cluster-cluster-optics-dbscan" title="Permalink to this heading">¶</a></h2>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="Finds core samples of high density and expands clusters from them. This example uses data that ..."><img alt="" src="../../_images/sphx_glr_plot_optics_thumb.png" />
<p><a class="reference internal" href="../../auto_examples/cluster/plot_optics.html#sphx-glr-auto-examples-cluster-plot-optics-py"><span class="std std-ref">Demo of OPTICS clustering algorithm</span></a></p>
<div class="sphx-glr-thumbnail-title">Demo of OPTICS clustering algorithm</div>
</div></div><div class="clearer"></div></section>
</section>
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