Abstract: The K-Means algorithm has a wide range of applications in radar signal pre-selection. Its traditional algorithm is highly dependent on the number of clusters and the initial setting of ...

Abstract: The traditional K-means algorithm often leads to unstable clustering quality due to the randomness of the initial clustering center selection and tends to fall into suboptimal solutions when ...