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We have an unstructured cloud of $N$ points in 3D space. What is known about the complexity of building the Euclidean Minimum Spanning Tree of the points ?

The tree is made of $N-1$ edges and can be built as a subset of the Delaunay triangulation in time $O(N^2)$, but I don't think that this is tight.

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The current Wikipedia article has information:

For three dimensions it is possible to find the minimum spanning tree in time $O((n \log⁡ n)^{4/3})$

And about approximation:

it is possible to produce a $(1 + \varepsilon)$-approximation in $O(n \log n)$ time, whenever $\varepsilon$ is a constant.

In practice, worst-case quadratic algorithms are used because worst-case inputs are rare and fast enough most of the time.

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