Research on clustering trajectories for moving objects

Cluster analysis, as an important research branch of data mining, according to the information found in the data describing objects and relationship, and according to the basic clustering analysis principle of the similarity between objects in the ensemble and the maximum of similarity between objects of minimizing, will classify objects into close eye independent clustered close. A few days ago, because the data of each application database is getting bigger and bigger, the clustering analysis is widely applied in all kinds of research fields, and becomes a very active research subject in the area of data mining. With the development of data collection technology, computer network and database technology, the various complex types of data grows explosively, so new data mining technology need to be explored urgently for complex data types. This paper carries on a research on two problems the space the moving object clustering and moving object trajectory clustering, from the views of the improvement of mobile object clustering space effect, mobile object clustering effect, enhancing algorithm time complexity and reducing input parameter sensitivity, which need solutions badly.