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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.compose.html">sklearn.compose</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="sklearn.decomposition.html">sklearn.decomposition</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l1 current active has-children"><a class="current reference internal" href="#">sklearn.mixture</a><details open="open"><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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  <section id="module-sklearn.mixture">
<span id="sklearn-mixture"></span><span id="mixture-ref"></span><h1>sklearn.mixture<a class="headerlink" href="#module-sklearn.mixture" title="Link to this heading">#</a></h1>
<p>Mixture modeling algorithms.</p>
<p><strong>User guide.</strong> See the <a class="reference internal" href="../modules/mixture.html#mixture"><span class="std std-ref">Gaussian mixture models</span></a> section for further details.</p>
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<tr class="row-odd"><td><p><a class="reference internal" href="../modules/generated/sklearn.mixture.BayesianGaussianMixture.html#sklearn.mixture.BayesianGaussianMixture" title="sklearn.mixture.BayesianGaussianMixture"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BayesianGaussianMixture</span></code></a></p></td>
<td><p>Variational Bayesian estimation of a Gaussian mixture.</p></td>
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<td><p>Gaussian Mixture.</p></td>
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