摘要
本文介绍了基于向量空间的常用距离的算法,并在概念语义空间的基础上,提出一种面向主题的距离和分类的算法。实验结果表明,该算法能有效地提高主题分类的准确度,可用于主题检索、搜索和聚类等方面。
This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space. The experimental results show that algorithm can effectively improve the accuracy of topic-specific classification, and can be used in the respects such as topic-specific searching, index and clustering, etc.
出处
《广东自动化与信息工程》
2004年第1期4-6,46,共4页
Guangdong Automation & Information Engineering
