Using Natural Clusters Information to Build Fuzzy Indexing Structure

摘要：

Efficient and accurate information retrieval is one of the main issues in multimedia databases. However, the key for this is how to build an efficient indexing structure. In this paper, we demonstrate how to use a fuzzy clustering algorithm, Sequential Fuzzy Competitive Clustering (SFCC), to get the natural clusters information from the data. Then use the information to build an efficient indexing structure, SFCC-binary tree (SFCC-b-tree). We will show in the experimental results that SFCCb-tree performs better that VP-tree in most of the cases.

作者: H.Y. Yue I. King K.S. Leung

作者单位: Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin, New Territories, Hong Kong

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1597-1602

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）