基于嵌套圆的可视化聚类方法研究

摘要

This paper integrates nested circles into the visualization clustering, discusses and researches visualization clustering method and main algorithms based on nested circles, and chooses text resource of informatics to empirical analyzing. Empirical results have shown that this method can not only conduct the whole description and global view display for massive resources in finite visualized space, but also do deep mining analysis on important polymerization cluster and core nodes according to the actual needs, providing technique support for the deep development and usage of massive information resources.%将嵌套圆融入可视化聚类方法之中，探讨和研究了基于嵌套圆的可视化聚类方法和主要算法，并选择情报学领域的数字资源进行实证分析。实证结果表明，该方法既能够在有限的可视化空间提供海量资源的整体描述和全局视图展示，又可以根据实际需要对重要聚类簇或核心节点进行深入挖掘和个性化展示，能够为海量信息资源的深度开发与利用提供技术支持。