A Dynamic Framework for Target-Grouping Based on Clustering Data Streams

In order to solve the dynamic target-grouping problem,a framework based on clustering data streams was presented,which can be divided into two parts: on-line part and off-line part.In on-line part,the concepts of a pyramidal time frame and a temporary storage structure are used;in off-line part,CNM algorithm is used to cluster the suitable data.After the experiment,the results show that this framework has good equilibrium between accuracy and efficiency.