经验拓扑在信息对象关系网络构建中的引入
Introduction of Empirical Topology in Construction of Relationship Networks of Informative Objects
摘要：
了解给定数据库中对象之间的关系结构是数据挖掘领域中最重要的问题之一。可以为一组单个对象（聚类）或一组对象（网络映射）定义结构。我们提出了一种方法，用于发现个人之间的关系（单个或组），这是基于我们所谓的经验拓扑结构，系统理论的功能接近的措施。为了说明该方法的适用性和有效性，我们将其应用于一个天文数据库。
英文摘要：
Understanding the structure of relationships between objects in a given database is one of the most important problems in the field of data mining. The structure can be defined for a set of single objects (clustering) or a set of groups of objects (network mapping). We propose a method for discovering relationships between individuals (single or groups) that is based on what we call the empirical topology, a system-theoretic measure of functional proximity. To illustrate the suitability and efficiency of the method, we apply it to an astronomical data base.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
