[mlpack-git] [mlpack/mlpack] Random projection trees (#726)

[Ryan Curtin]

> +  if (values[0] == values[values.size() - 1])
> +    return false;
> +
> +  splitVal = values[values.size() / 2];
> +
> +  return true;
> +}
> +
> +template<typename BoundType, typename MatType>
> +bool RPTreeMeanSplit<BoundType, MatType>::GetMeanMedian(
> +    const MatType& data,
> +    const arma::uvec& samples,
> +    arma::Col<ElemType>& mean,
> +    ElemType& splitVal)
> +{
> +  std::vector<ElemType> values(samples.n_elem);

Same here, I think the Armadillo object will be a better choice.

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