Wang, X., 2020. Characteristics of tourist sources in coastal tourism market based on cluster analysis. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 1065–1069. Coconut Creek (Florida), ISSN 0749-0208.

At present, the commonly used methods of feature analysis of tourism sources in coastal tourism market with big data have poor clustering degree of data feature classification, so the research on the characteristics of tourist sources in coastal tourism market based on cluster analysis is proposed. This paper divides the tourist sources into different groups with similar attributes or similar relations. In adoption of the objective function minimization strategy, the division and clustering of the tourist characteristics are completed. After it, the tourist source characteristic data is conducted by the nearest neighbor propagation characteristic optimization clustering, so as to analyze the tourist source characteristics of the coastal tourism market. The simulation experiment is designed and compared with the clustering degree of feature classification after big data processing, proving the research effectiveness.