<p>In <a href="https://github.com/mlpack/mlpack/pull/388#discussion_r23583303">src/mlpack/methods/mean_shift/mean_shift.hpp</a>:</p>
<pre style='color:#555'>> + * For each point in dataset, apply mean shift algorithm until maximum
> + * iterations or convergence.
> + * Then remove duplicate centroids.
> + *
> + * A simple example of how to run Mean Shift clustering is shown below.
> + *
> + * @code
> + * extern arma::mat data; // Dataset we want to run Mean Shift on.
> + * arma::Col<size_t> assignments; // Cluster assignments.
> + * arma::mat centroids; // Cluster centroids.
> + *
> + * MeanShift<arma::mat, kernel::GaussianKernel> meanShift();
> + * meanShift.Cluster(dataset, assignments, centroids);
> + * @endcode
> + *
> + * @tparam KernelType the kernel to use.
</pre>
<p>Mean shift will not work with every type of kernel (i.e. it will not work with the linear kernel or the polynomial kernel or other kernels that are not shift-invariant and normalized). We should make sure that the user knows that only certain kernels can be used.</p>
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