A Robust Distributed Clustering of Large Data Sets on a Grid of Commodity Machines
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DOI: 10.3390/data6070073
Abstract: Distributed clustering algorithms have proven to be effective in dramatically reducing execution time. However, distributed environments are characterized by a high rate of failure. Nodes can easily become unreachable. Furthermore, it is not guaranteed that… read more here.
Keywords: means algorithm; robust distributed; distributed clustering; commodity machines ... See more keywords