基于K-means聚类算法的等级测评数据分析  

Classified Evaluation Data Analysis Based on K-means Clustering Algorithm

作　　者：黄志敏 梁承东 HUANG Zhimin;LIANG Chengdong(Guangzhou Chinagdn Security Technology Co.,Ltd.,Guangzhou 510665,China)

机构地区：[1]广州竞远安全技术股份有限公司,广东广州510665

出　　处：《电子质量》2023年第12期40-44,共5页Electronics Quality

摘　　要：随着等级测评工作的定期进行,等级测评过程中会不断产生并积累海量的测评数据,但是从以测评报告形式存在的测评数据中无法有效地提取出有价值的信息,无法为后续的等级保护工作形成参考指导。利用K-means聚类算法对等级测评数据进行了分析。首先,介绍了等级测评的概念及基本内容;然后,阐述了K-means聚类算法理论;最后,详细地介绍了基于K-means聚类算法的等级测评数据分析的具体流程,为等级测评数据的充分利用提供了一定的参考。With the regular implementation of level evaluation,massive evaluation data will be generated and accumulated continuously in the process of classified protection evaluation,but valuable information cannot be effectively extracted from the evaluation data in the form of evaluation reports,and it cannot form reference guidance for subsequent classified protection work.The classified protection evaluation data is analyzed by using K-means clustering algorithm.First,the concept and basic content of classified evaluation are introduced.Then,the theory of K-means clustering algorithms is elaborated.Finally,the specific process of level assessment data analysis based on K-means clustering algorithm is introduced in detail,which provides a certain reference for the full utilization of classified evaluation data.

关 键 词：等级测评 数据分析 K-MEANS聚类算法 聚类分析 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]