采用太赫兹时域光谱系统对3组相似中药进行了测量。经过傅里叶变换后,得到了6种中药的频域曲线,计算得到了它们的吸收系数作为分层聚类方法的特征数据,采用组间连接的聚类方法,以欧式平方距离作为度量标准,对中药进行了分层聚类分析与识别,聚类准确率达到了94.4%。太赫兹时域光谱技术为今后中药的鉴定与分类提供了一种有效的方法。 Three groups of similar Chinese medicines were measured by terahertz time-domain spectroscopy. After the Fourier transform, the frequency domain curves of six kinds of traditional Chinese medicines were obtained, and their absorption coefficients were calculated as the characteristic data of the hierarchical clustering method. The clustering method of inter-group connection was used to measure the frequency square distance , Stratified cluster analysis and identification of Chinese medicine, the clustering accuracy rate reached 94.4%. Terahertz time-domain spectroscopy provides an effective method for the identification and classification of traditional Chinese medicine in the future.