主成分聚类分析在航材分类中的应用.pdf

文档介绍：2012-11 兵工自动化
31(11) Ordnance Industry Automation ·25 ·
doi: .1006-
主成分聚类分析在航材分类中的应用
张作刚 1,胡新涛 1,刘栄望 2
(1. 海军航空工程学院青岛分院,山东青岛 266041 ;2. 海军 92367 部队,山东青岛 266041 )
摘要:针对航材种类枑多、规格复杂而导致航材管理枞复杂的问题,提出一惊种基于主成分聚类枑分析的航材分类枑方法。
在综合考虑栴传统航材分类枑指标和航材自身特点的基础上,构建了柚一惊种新的航材分类枑指标体系。根据指标集运用主成
分分析法进行降维处理枞,运用 SPSS 软件的系统聚类枑法对其聚类枑分析,得出航材综合分类枑。仿真实例枮结果表明:该
方法减少了柚数据的冗余,得到的分类枑结果客观、合理枞。
关键词:主成分分析;聚类枑分析;航材分类枑
中图分类号:TJ04 文献标志码:A
Application of ponent Clustering Analysis
in Aviation Spares Classification
Zhang Zuogang 1, Hu Xintao 1, Liu Wang 2
(1. Qingdao Branch , Naval Aeronautical & Astronautical University , Qingdao 266041, China ;
2. No . 92367 Unit of Navy , Qingdao 266041, China )
Abstract: Aiming at plex management of large amount of aviation spares plex specifications,
introduced a spares classification method based on ponent clustering analysis. Based on traditional index of
classification and characteristic of spare, establish a new aviation spares classification index system. According to index set,
use ponent clustering analysis method to reduce dimensions. Adopt SPSS software system clustering method
to carry out clustering analysis and get aviation spares integrated clustering. The simulation results show that the method
can reduce data redundancy and the clustering results is objective and reasonable.
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