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- W2403323210 abstract "In this paper, we propose a novel approach to optimally employing the MCL (Markov Cluster Algorithm) by “neutralizing” the trivial disadvantages acknowledged by its original proposer. Our BMCL (Branching Markov Clustering) algorithm makes it possible to subdivide a large core cluster into appropriately resized sub-graphs. Utilizing three corpora, we examine the effects of the BMCL which varies according to the curvature (clustering coefficient) of a hub in a network." @default.
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- W2403323210 date "2008-01-01" @default.
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- W2403323210 title "How to Take Advantage of the Limitations with Markov Clustering?–The Foundations of Branching Markov Clustering (BMCL)" @default.
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