[mlpack-git] [mlpack] k-means should allow selecting points randomly as initialization (#596)

[Ryan Curtin]

This also comes out of the discussion for #592.  @kno10's suggestion is that we simply pick points randomly from the dataset as initial centroids.

This requires a bit of refactoring because the current initialization policy operates by setting the assignments of each point, instead of the location of each centroid.  So there will need to be a little bit of thought on how exactly to handle this, but probably some template metaprogramming to handle both cases is in order here (so that a user can both write initialization policies that give initial point assignments and also initial centroids).

I will do this as I have time.

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