计算机工程2011，Vol.37Issue(9)：270-272,3.DOI:10.3969/j.issn.1000-3428.2011.09.094
改进的基于密度的航迹聚类算法
Improved Track Clustering Algorithm Based on Density
赵恩来 1郝文宁 1赵飞 2陈刚 1邵校莎莎1
作者信息
- 1. 解放军理工大学工程兵工程学院,南京,210007
- 2. 中国海上卫星测控部,江苏,无锡,214400
- 折叠
摘要
Abstract
In order to classify the data of radar, this paper proposes an impwved track clustering algorithm based on density. Considering concrete application, the algorithm adopts the distance measure by Manhattan distance and penalty coefficient, newly defined the definition of neighborhood using the character of moving object, and improves the efficiency by time clipping. Experimental result shows that the improved algorithm can cluster the observation data accurately and form the tracks efficiently.关键词
聚类/航迹/密度/邻域/时间序列Key words
clustering/ track/ density/ neighborhood/ time series分类
信息技术与安全科学引用本文复制引用
赵恩来,郝文宁,赵飞,陈刚,邵校莎莎..改进的基于密度的航迹聚类算法[J].计算机工程,2011,37(9):270-272,3.
