一种面向态势估计中分群问题的聚类方法

Method of clustering about situation assessment

对目标分群技术问题进行了描述,分群或聚类问题是态势估计需要实现的一个重要功能,主要根据底层融合的结果应用聚类分析法实现战场目标分群。目标分群的结果有助于确定态势元素之间的相互关系,从而解释问题领域的各种行为,辅助指挥决策。提出使用Chameleon算法对战场目标或群进行划分,根据相对互连性RI和相对近似性RC所表征的相似度把它们形成更高层次的群。

The issue of object clustering about situation assessment and was described that object clustering is one of important function which situation assessment need achieve was pointed out. Object clustering mainly uses cluster analysis based on the information from lower level data fusion. The output of object clustering is helpful to determine the relationship among situation elements thus interpreting the actions related to problem field and supporting command decisions. Chameleon algorithms were used to clustering based on the RI and RC.