Hi Ted,
I've no idea what is Transitive Reduction but the expected result you can
achieve by graph.subgraph(graph.edges.filter()) syntax and which filter
edges by its weight and give you new graph as per your condition.
On 19 December 2014 at 11:11, Tae-Hyuk Ahn [via Apache Spark User List]
ml-node+s1001560n20768...@n3.nabble.com wrote:
Hi All,
I am wondering what is the best way to remove transitive edges with
maximum spanning tree. For example,
Edges:
1 - 2 (30)
2 - 3 (30)
1 - 3 (25)
where parenthesis is a weight for each edge.
Then, I'd like to get the reduced edges graph after Transitive Reduction
with considering the weight as a maximum spanning tree.
Edges:
1 - 2 (30)
2 - 3 (30)
Do you have a good idea for this?
Thanks,
Ted
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Regards,
Harihar Nahak
BigData Developer
Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
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--Harihar
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