摘要
介绍了聚类分析的基本原理、经典算法以及聚类结果评价体系,探讨了聚类分析在测绘地理信息领域的具体应用及其未来发展趋势与挑战。聚类分析作为测绘地理信息领域中不可或缺的数据分析工具,需要我们继续挖掘其应用潜力。同时,如何进一步提高聚类分析的效率、精度和可靠性,仍然需要积极研究与探索,并将成果用于推动测绘地理信息产业的发展与创新。
In this article,the basic principles,classical algorithms and evaluation system of clustering analysis are introduced,the specific applications of clustering analysis in the field of surveying and mapping geographic information are explored,and its future development trends and challenges are discussed.As an indispensable data analysis tool in the field of surveying and mapping geographic information,clustering analysis requires us to continue to explore its application potential.At the same time,how to further improve the efficiency,accuracy and reliability of clustering analysis still needs active research and exploration,and the achievements should be used to promote the development and innovation of the surveying and mapping geographic information industry.
作者
王赟
WANG Yun(Shanxi Institute of Surveying and Mapping Geographic Information,Taiyuan 030001,China)
出处
《经纬天地》
2024年第5期45-48,共4页
Survey World
关键词
聚类算法
K-MEANS
测绘地理信息
clustering
K-means
surveying and mapping geographic information