基于聚类算法的GIS信息自维护技术研究

Research of GIS Information Self-Maintenance Technology Based on Clustering Algorithm

针对烟草企业运用数据可视化技术时面临GIS信息长期不准和维护困难,提出一种GIS信息自维护技术方案,并重点围绕方案的总体设计思路以及基于DBSCAN聚类的核心筛选算法的实现与改良展开论述,为解决行业普遍性问题提供可行性的解决思路和借鉴经验。

In view of the long-term inaccuracy and difficult maintenance of GIS information faced by tobacco enterprises when using data visualization technology,this paper proposes a GIS information self maintenance technology scheme,and focuses on the overall design idea of the scheme and the implementation and improvement of the core screening algorithm based on DBSCAN clustering,so as to provide feasible solutions and experience for solving common problems in the industry.