摘要
目的建立一个综合评价商场室内空气质量的模型。方法本文借助重庆市 5家商场室内空气质量监测数据 ,用聚类分析将观测点划分为好、中、差 3类 ,通过各商场各类别观测点的构成对总体状况作综合评价。并在分类基础上建立判别方程 ,用以判断新观测的状况。结果聚类分析所分类别能有效区分不同质量的观测点 ,商场空气质量可通过不同类别观测点的构成得到评价 ,判别方程判断检测点所属类别的正确率达 93 89%。结论该评价模型直观、计算简便 ,实用性强 。
Objective:To establish a model to access shop's air.Methods:the data of air monitoring of 5 shops in Chongqing are distinguished into three kinds by K-means clustering analysis:good, meddle, bad, The general condition of shop was assessed by the proportion of different kinds of sample. The discriminatory function is established to discriminate the new place(shop)with the result of clustering analysis. Result:The different kinds of sample can be distinguished effectively by the clustering analysis and the general condition of shops can be accessed by the proportion of different kinds of sample. The frequency of correctness is 93.89% which the discriminatory function discriminate the sample into it's actual kinds. Conclusion:The model is easy and worth applying.
出处
《川北医学院学报》
CAS
2002年第2期3-5,共3页
Journal of North Sichuan Medical College
