侯晨^1,2, 史喜成¹, 白书培¹, 韩浩¹, 李灿²
AuthorsHTML:侯晨^1,2, 史喜成¹, 白书培¹, 韩浩¹, 李灿²
AuthorsListE:Hou Chen^1,2, Shi Xicheng¹, Bai Shupei¹, Han Hao¹, Li Can ²
AuthorsHTMLE:Hou Chen^1,2, Shi Xicheng¹, Bai Shupei¹, Han Hao¹, Li Can ²
Unit:1. 防化研究院国民核生化灾害防护国家重点实验室，北京 100191；2. 中国人民解放军92609部队，北京 100077
Unit_EngLish:1. State Key Laboratory of National NBC Protection, Beijing 100191, China
2．No.92609 Unit of PLA, Beijing 100077, China
Abstract_Chinese:针对舰艇舱室挥发性有机化合物采样数据, 利用主成分分析法对21种有机化合物气体进行分析以确定各种有机化合物的主要来源, 在主成分分析获得的降维数据基础上, 进一步采用K-均值聚类算法对有机化合物进行分类, 根据聚类结果制定了舱室污染等级评价标准, 实现舱室挥发性有机化合物高、中、低污染等级分类．
Abstract_English:Based on the volatile organic compounds in the cabin of naval vessel，21 kinds of organic compound gases are analyzed through principal component analysis to determine the main sources of various organic compounds. According to the dimensionality-reduced data，K-means clustering is used to classify the samples automatically. Reasonable criteria are formulated to evaluate the pollution grades based on the clustering results. Finally，the volatile organic compounds are classified into grades of high pollution，moderate pollution and low pollution.
Keyword_Chinese:舰艇舱室; 挥发性有机化合物; 主成分分析; K-均值聚类
Keywords_English:naval vessel cabin; volatile organic compounds; principal component analysis; K-means clustering

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