A method to discover compatibility regulation of Chinese herbs based on the combination of clustering analysis and herbs nature

摘要：

the purpose of this paper is to find a data mining method to clustering herbs. The results of data mining are to confirm the relation among herbs in a Chinese medicine prescription. Firstly, the similarity between herbs is measured by the attributes of herbs without the direction based on the prior knowledge. Secondly, the herbs are classified by K-Means algorithm. Lastly, the relations are confirmed by the combination of the classification and the Chinese medicine theory. The experiment illustrates that the method is effective, practical and generalized.

关键词： data mining compatibility of Chinese medicine prescription cluster analysis monarch minister assistant and guide

作者: Jun Gong Junlong Dong Jiafu Tang Lin Zhang Maoxin Liang

作者单位: College of Information Science and Engineering Northeastern University Shenyang, China, 110004 Basic Medicine College Liaoning University of Chinese Medicine Shenyang, China, 110032

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 228-232

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）