Mining Method of Ship Activity Trajectory Pattern Based on Big Data
Aiming at the problem of single feature attribute research in current ship trajectory clustering technology,a multi-dimensional ship trajectory clustering algorithm based on merge distance is proposed.By adding multiple attribute features and adopting a new distance measurement algorithm,this technique provides a new solution idea from two aspects of time sequence and complexity.On the basis of clustering results,a typical trajectory algorithm based on local regional mean is proposed to solve the problem of the lack of trajectory feature characterization methods.By calculating the mean value of each attribute,the trajectory features in the same trajectory clustering are depicted in detail.
国家科技期刊平台
NSTL
万方数据
