<p>In <a href="https://github.com/mlpack/mlpack/pull/726#discussion_r73702548">src/mlpack/core/tree/binary_space_tree/rp_tree_mean_split_impl.hpp</a>:</p>
<pre style='color:#555'>&gt; +  }
&gt; +}
&gt; +
&gt; +template&lt;typename BoundType, typename MatType&gt;
&gt; +bool RPTreeMeanSplit&lt;BoundType, MatType&gt;::GetDotMedian(
&gt; +    const MatType&amp; data,
&gt; +    const arma::uvec&amp; samples,
&gt; +    const arma::Col&lt;ElemType&gt;&amp; direction,
&gt; +    ElemType&amp; splitVal)
&gt; +{
&gt; +  std::vector&lt;ElemType&gt; values(samples.n_elem);
&gt; +
&gt; +  for (size_t k = 0; k &lt; samples.n_elem; k++)
&gt; +    values[k] = arma::dot(data.col(samples[k]), direction);
&gt; +
&gt; +  std::sort(values.begin(), values.end());
</pre>
<p>It might be better to use Armadillo objects here, since you know how many elements you'll have.  Armadillo does have a <code>sort</code> function too.</p>

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