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Aerial Targets Clustering with Unknown Cluster Number

机译:空中目标与未知的群集号码聚类

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摘要

Aiming at the uncertainty of enemy target cluster number in aerial targets clustering process, an improved affinity propagation (AP) algorithm is adopted to determine the target cluster number and clustering result. Firstly, Between-Within Propagation (BWP) index is used as the measure of cluster effectiveness, and Bisection method is used to determine the optimal number of clusters;. Secondly, scanning of preferences subspace corresponding to the optimal cluster number, and determine the clustering result. Finally, the effectiveness and stability of the improved affinity propagation algorithm are verified by experiments.
机译:针对空中目标集群过程中敌方目标群集号的不确定性,采用改进的亲和力传播(AP)算法来确定目标群集号和聚类结果。首先,在传播(BWP)索引之间用作集群效率的量度,并且使用分支方法来确定最佳簇数;其次,扫描与最佳簇号对应的首选项子空间,并确定群集结果。最后,通过实验验证了改进的亲和力传播算法的有效性和稳定性。

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