聚类分析在空间信息智能处理中的应用研究

Research on Clustering Analysis Applied in Intelligent Processing of Spatial Information

空间信息服务平台由于实施标准,技术规范和类型格式等方面存在不一致和含糊不明确性,且空间信息数据量过于庞大,为有效的从中获取符合应用需求的空间信息,将聚类分析应用于空间信息的智能处理当中。首先进行空间信息数据的特征提取、扩充和合并,然后结合粗糙集模型和K原型算法进行聚类分析,最后通过选择和设计合适的评价指标对聚类结果进行评价,为空间信息数据的规范化和标准化处理提供一定的技术支持。

There are some inconsistencies and ambiguities in implementation standards, technical specifications, data formats and other aspects of spatial information service platform, and the amount of spatial information is very large, this paper applies clustering analysis in intelligent processing of spatial information in order to obtain spatial information which is compliance with application requirement effectively. Firstly, the main task includes feature extraction, expansion and consolidation of spatial information data, and then combining rough set model and K prototype algorithm for clustering analysis, finally through selection and design appropriate evaluation indexes to evaluate clustering results, it provides some technical support for normalization and standardization processing of spatial information data.