文章提出了一种新的适用于高维特征矢量相似检索动态聚类索引树结构。
This paper introduces a newly generalized and dynamic structure for the similarity retrieval of high dimensional feature vectors called the recursive clustering index tree.
建立了简洁可行的用结构化数据表示的实例描述模型，分析了实例相似度的计算问题并介绍了实例检索的具体方法。
A simple and feasible case model described by structured data is proposed. The calculation of case similarity is discussed and the specific method of case retrieve is introduced.
采用子结构检索、公共子结构寻找和相似指数计算的方法研究了红外特征峰与对应子结构的相互关系。
This paper introduces a method which determinate the characteristic peak of IR through substructure searching, common substructure spreading, similarity index calculating.
应用推荐