<p>Released Oct. 31st, 2016.</p>

<ul>
<li>Fixed CoverTree to properly handle single-point datasets.</li>
<li>Fixed a bug in CosineTree (and thus QUIC-SVD) that caused split failures for some datasets (<a href="https://github.com/mlpack/mlpack/issues/717" class="issue-link js-issue-link" data-url="https://github.com/mlpack/mlpack/issues/717" data-id="164293938" data-error-text="Failed to load issue title" data-permission-text="Issue title is private">#717</a>).</li>
<li>Added <code>mlpack_preprocess_describe</code> program, which can be used to print statistics on a given dataset (<a href="https://github.com/mlpack/mlpack/pull/742" class="issue-link js-issue-link" data-url="https://github.com/mlpack/mlpack/issues/742" data-id="167907468" data-error-text="Failed to load issue title" data-permission-text="Issue title is private">#742</a>).</li>
<li>Fix prioritized recursion for k-furthest-neighbor search (<code>mlpack_kfn</code> and the <code>KFN</code> class), leading to orders-of-magnitude speedups in some cases.</li>
<li>Bump minimum required version of Armadillo to 4.200.0.</li>
<li>Added simple Gradient Descent optimizer, found in <code>src/mlpack/core/optimizers/gradient_descent/</code> (<a href="https://github.com/mlpack/mlpack/pull/792" class="issue-link js-issue-link" data-url="https://github.com/mlpack/mlpack/issues/792" data-id="179630150" data-error-text="Failed to load issue title" data-permission-text="Issue title is private">#792</a>).</li>
<li>Added approximate furthest neighbor search algorithms QDAFN and DrusillaSelect in <code>src/mlpack/methods/approx_kfn/</code>, with command-line program <code>mlpack_approx_kfn</code>.</li>
</ul>

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