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Density-Based clustering in mapReduce with guarantees on parallel time, space, and solution quality

A well-known clustering problem called Density-Based Spatial Clustering of Applications with Noise~(DBSCAN) involves computing the solutions of at least one disk range query per input point, computing the connected components of a graph, and bichromatic fixed-radius nearest neighbor. MapReduce class...

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Váldodahkkit: Sepideh Aghamolaei, Mohammad Ghodsi
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: University of Isfahan 2024-04-01
Ráidu:Transactions on Combinatorics
Fáttát:
Liŋkkat:https://toc.ui.ac.ir/article_28264_25c4b7936d8b67c3489a676b9a960418.pdf
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