相对熵方法用于中药指纹图谱相似度计算(英文)

The similarity algorithm study on flngerprint of traditional Chinese medicine based on relative entropy

本文主要研究了中药指纹图谱的相似度算法。提出了一种基于模糊数学和信息学的新方法用于中药指纹图谱的相似度比较。相对熵是一种用来比较两种概率分布差异的方法,相对熵歧异值被用来衡量分布差异。在本文中,歧异值的特点被用来计算色谱中药指纹图谱之间的相似度。相比较于传统的相似度计算方法,相对熵的算法得到了更好的结果,并且计算量少于其他算法。

The similarity algorithm study on fingerprint of Chinese herbal medicine is described in this paper. A new method based on fuzzy mathematics and information theory is developed to solve the similarity comparison of fingerprint. The relative entropy has become an excellent method to measure the difference of two probability distributions; the method has been applied to process the question of pattern recognition, etc. Based on it, divergence is proposed to measure difference of distribution. In this paper, the principle of determining similarity of chromatographic fingerprint of Chinese herbal medicine is calculated by using of the good character of divergence. A better result is obtained by compared with conventional method and divergence algorithm has less computation quantity than other algorithms.