[SciPy-Dev] Graph shortest path
Jacob VanderPlas
vanderplas at astro.washington.edu
Mon Dec 19 11:05:18 EST 2011
As far as I know, networkx uses pure python only. The cython Dijkstra
algorithm in scikit-learn is quite a bit faster than anything in networkx
Jake
Warren Weckesser wrote:
>
>
> On Mon, Dec 19, 2011 at 6:25 AM, Jacob VanderPlas
> <vanderplas at astro.washington.edu
> <mailto:vanderplas at astro.washington.edu>> wrote:
>
> Hello,
> A while ago in scikit-learn we implemented an efficient cython graph
> shortest-path search using both Dijkstra's algorithm and the
> Floyd-Warshall algorithm with Fibonacci heaps. Currently this is
> well-hidden in the scikit-learn utils:
> https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/utils/graph_shortest_path.pyx
> This is the kind of basic algorithm that I think belongs in scipy
> rather
> than scikit-learn. I know that some developers have been thinking
> about
> graph tools for scipy: are there ideas about whether/where the
> shortest
> path search would fit in scipy?
>
>
>
> Networkx (http://networkx.lanl.gov/) already provides an assortment of
> data structures and algorithms for graphs. It is an active,
> well-documented project. Personally, I'd rather not start adding code
> to scipy that duplicates it. If your code is better/faster/stronger
> than theirs, why not contribute it to networkx?
>
> Warren
>
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