Yao, B.; Wang, L., and Liu, S., 2019. Research on ocean government data extraction and clustering based on XML document similarity technology. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 259–262. Coconut Creek (Florida), ISSN 0749-0208.

In component clustering, a recursive algorithm for computing the similarity between components based on extensible markup language (XML) description is proposed, which can effectively measure the structure and semantic information contained in the XML description document. The document similarity matrix is constructed. The high-dimensional samples are mapped to the two-dimensional plane by a genetic algorithm, and the k-means algorithm is used to cluster to obtain the global optimal component clustering. Finally, experiments are carried out on the component library test model. The experimental results show that the component clustering algorithm based on XML similarity is feasible and effective in component query practice.