Abstract
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. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Sata, K., Hirata, K., Ito, K., & Kuboyama, T. (2009). Discovering networks for global propagation of influenza a (H3N2) viruses by clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5712 LNAI, pp. 490–497). https://doi.org/10.1007/978-3-642-04592-9_61
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