一种用于飞行器航迹规划操作规则提取的聚类算法  

A Clustering Algorithm on the Strategy Extraction of Operations in Route Planning Software

作　　者：付琦玮 张克[1] 秦筱楲[1] 宋子阳 刘畅 Fu Qiwei;Zhang Ke;Qin Xiaowei;Song Ziyang;Liu Chang(Beijing Electro-mechanical Engineering Institute, Beijing 100074, China)

机构地区：[1]北京机电工程研究所,北京100074

出　　处：《战术导弹技术》2018年第2期60-65,79,共7页Tactical Missile Technology

摘　　要：针对航迹规划软件人机交互操作数据所蕴含的特征规律信息的总结提取问题,通过深入研究操作数据特性,高维数据主成份分析降维方法及聚类算法,提出了一种用于解决该类问题的改进聚类算法。经仿真验证,该算法能够有效地提取不同操作数据中的规律信息。In order to deal with the problem that extracting strategy from the data which comes from the interactive operations of route plan software,this article investigates the features of the operations and presents a clustering algorithm by utilizing principal component analysis.According to the experiment results,this algorithm is proved to be an effective way to discover and summarize the strategies in the operation data.

关 键 词：航迹规划 特征规律提取 主成份分析 覆盖聚类算法 

分 类 号：TJ760.12[兵器科学与技术—武器系统与运用工程]