计算机与数字工程2016，Vol.44Issue(9)：1645-1649,5.DOI:10.3969/j.issn.1672-9722.2016.09.004
基于聚类分析算法的伙食费类区划分研究
Classification of Mess Grade Area Based on Clustering Analysis
摘要
Abstract
The classification of mess grade area is an important work to formulate the standard of mess expenses .At present ,the mess grade area doesn't reflect the price level around the country ,which is based on the classification in 1988 . The optimization of mess grade area is a cluster analysis problem in essence ,that is ,the various regions mess expenses are e‐valuated according to the unified evaluation standard of mess expenses firstly ,and then the various regions are classified by u‐sing the cluster analysis algorithm .The results show that 6 cities should be up and 2 cities should be cut in the new mess grade area .The difference interval between the 3 mess grade area should be adjusted to 2 .41 ,3 .83 Yuan .关键词
给养/伙食费类区/聚类分析/应用Key words
provisions/mess grade area/clustering analysis/application分类
信息技术与安全科学引用本文复制引用
贺德富,苏喜生..基于聚类分析算法的伙食费类区划分研究[J].计算机与数字工程,2016,44(9):1645-1649,5.基金项目
全军后勤重大项目子项（编号AS211R001-15）资助。 （）
