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影响因子

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    基于改进标签传播算法的目标分群方法

    Target Clustering Method Based on Improved Label Propagation Algorithm

    • 摘要: 为了快速、准确、有效地实现目标分群, 提出了一种基于改进标签传播算法的目标分群方法. 基于观察 – 判断 – 决策 – 行动 (Observe-Orient-Decide-Act, OODA) 循环理论的思想设计了目标节点重要度, 以此确定目标节点更新顺序, 提高分群结果的稳定性. 根据节点之间空间距离相似度、网络结构相似度以及节点重要度形成标签影响力值, 以此更新目标节点标签,提高分群结果的准确性. 以防空体系网络为例进行仿真实验, 验证了该方法的有效性.

       

      Abstract: In order to realize target clustering quickly, accurately and effectively, a target clustering method based on improved label propagation algorithm is proposed. Based on OODA cycle theory, the importance of target nodes is designed to determine the updating order of target nodes and improve the stability of clustering results. According to the similarity of spatial distance between nodes, similarity of network structure and importance of nodes, the label influence value is formed, so as to update the target node label and improve the accuracy of clustering results. An example of air defense system network is given to verify the effectiveness of the proposed method.

       

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