Target Clustering Algorithm Based on Similarity Matrix in Radar Detection

At present, the problem of target clustering for radar detection still has some problems, such as low operating efficiency and low accuracy. In this paper, a target clustering algorithm based on similarity matrix is proposed, which has some significant advantages, including easy implementation, high efficiency, applicability. According to the distribution characteristics of radar detection target, this algorithm defines the similarity calculation method between target attributes and constructs the similarity matrix and achieves the target matrix clustering by row-column change criterion and judging criterion. This algorithm designed the maintenance rules to implement dynamic maintenance of the cluster structure in case of the change of cluster structure. In the end, the algorithm test case verifies the correctness of the algorithm, validity and applicability of the proposed algorithm by SPSS.