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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Discovering Networks for Global Propagation of Influenza A (H3N2) Viruses by Clustering
verfasst von : Kazuya Sata, Kouichi Hirata, Kimihito Ito, Tetsuji Kuboyama
Erschienen in: Knowledge-Based and Intelligent Information and Engineering Systems
Verlag: Springer Berlin Heidelberg
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In this paper, we present a method of discovering networks for modeling global propagation of influenza A (H3N2) viruses using a clustering algorithm. First, we find the clusters for every region by using an agglomerative hierarchical clustering with complete linkage. Next, we collect similar virus clusters over all regions. Finally, by comparing the occurrence year of the similar clusters, we construct a directed graph as a propagation network among these virus clusters.