Air target clustering method based on K-means clustering

The invention discloses an air target clustering method based on K-means clustering. The method comprises the following steps: (1) reading air target information; (2) generating an aerial target dataset; (3) generating the total number of aerial target groups; (4) according to the obtained group centers of the aerial target groups and the total number of the aerial target groups, adopting K-meansclustering to perform aerial target grouping; and (5) outputting a grouping result. According to the method, the problem that the grouping number needs to be given in advance when a K-means clustering method is used for aerial target grouping is solved; effective and accurate grouping of aerial targets in actual conditions can be realized, and the method can be used for situation estimation and command control systems. 本发明公开了一种基于K-means聚类的空中目标分群方法，其实现步骤为：(1)读入空中目标信息；(2)生成空中目标数据集；(3)生成空中目标群总数；(4)根据所得的空中目标群的群中心及其总数，采用K-means聚类进行空中目标分群；(5)输出分群结果。本发明克服了使用K-means聚类方法进行空中目标分群时需要预先给定分群个数的问题；能够实现对实际情况空中目标有效、准确的分群，可用于态势估计、指挥控制