采用X射线荧光光谱法对32个塑料打包带(绳)样本进行检验,在80 s的采集时间下,所得元素种类含量最为稳定。结合多元统计方法构建函数模型,将离差平方和法作为聚类方法,进行系统聚类时将平方欧氏距离作为测量区间以描述样本间的亲疏程度,将32个塑料打包带(绳)样本分为4类。通过样本之间的相关性和判别分析检验系统聚类的正确性和可靠性,挖掘出样本元素含量之间的内在联系。通过系统聚类的方法将32个塑料打包带(绳)样本进行分类,促进了模式识别技术在理化检验中的应用。

Herein, 32 plastic pack belt (rope) samples were examined via X-ray fluorescence spectrometry. At the acquisition time of 80 s, the elemental composition was most stable. The function model was constructed by combining the multivariate statistical method. The ward’s method was selected as the clustering method. The square Euclidean distance was used as the measurement interval to describe the degree of affinity between the samples for hierarchical clustering. The 32 plastic pack belt (rope) samples were divided into four categories. The accuracy and reliability of the hierarchical clustering were tested via correlation between the samples and discriminant analysis, and the internal relationship between the contents of the sample elements was determined. In this experiment, 32 samples of plastic pack belts (ropes) were classified using the hierarchical clustering method, which promoted the application of pattern recognition technology for physical and chemical examination.