Let R be an inverse multimap that takes each set element to the set of sets it belongs to. Now find the connected components. Okay, I tried Gelly and I think I will follow your suggestion to avoid early optimization. Chobeat Okay I transformed the Gelly algorithm backward into your problem in case you want to try that. You’ll need a wrapper for the sets so you can tell if you’ve already visited them. In Scala, the core of the map from elements to a tree would look something like case class W s: In a map-step you emit a key-value pair for each element inside each set like:
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Chobeat Chobeat 1, 4 4 gold badges 30 30 silver badges 49 49 bronze badges. Now find the connected components. Just an idea, there might be better ways, but how about this: Edit If you are worried about the performance impact of converting from sets to graphs and back although this worry is premature optimization; you should try itit would be simple enough to re-implement Gelly’s token-pushing scheme over sets.
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Sign up using Email and Password. I will try anyway because maybe it multimp well enough. Immature is better than starting from scratch. Email Required, but never shown.
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Here’s how this would work. Let R be an inverse multimap that takes each set element to the set of sets it belongs to.
Asked 3 years, 4 months ago. Sign up or log in Sign up using Google. I thought about that and it would probably work, but Gelly is not yet mature but overall the conversion would be too expensive, I believe. Efficient distributed algorithm to merge sets with common elements Ask Question. How do we handle problem users?
Okay, I tried Gelly and I think I will follow your suggestion to avoid early optimization. To get only one copy of each result you can remove all where the key is larger than any of the osh elements.
Sign up using Facebook. Improving the question-asking experience. In a map-step you emit a key-value pair for each element inside each set like: Chobeat Well, if you’re looking for a distributed algorithm, something like what Gelly does is probably the best you can do. I’m working on a distributed implementation of MinHash LSH on Flink and as a last psh, I need to merge some muktimap, identified as sets of elements similar among them. When done, the distinct values of map T are the answer you want.
Their nodes give the sets you’re looking for. You’ll need a wrapper for the sets so you can tell if you’ve already visited them.
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