Original paper
Fast consensus clustering in complex networks
Abstract
Algorithms for community detection are usually stochastic, leading to different partitions for different choices of random seeds. Consensus clustering has proven to be an effective technique to derive more stable and accurate partitions than the ones obtained by the direct application of the algorithm. However, the procedure requires the calculation of the consensus matrix, which can be quite dense if (some of) the clusters of the input...
Paper Details
Title
Fast consensus clustering in complex networks
Published Date
Apr 1, 2019
Volume
99
Issue
4
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History