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支持k近邻查询的X*树索引结构
引用本文:章德斌,曹丽君,梁永欣,张忠平.支持k近邻查询的X*树索引结构[J].计算机工程与应用,2011,47(5):123-125.
作者姓名:章德斌  曹丽君  梁永欣  张忠平
作者单位:1. 燕山大学信息科学与工程学院,河北秦皇岛,066004
2. 河北科技师范学院,河北秦皇岛,066004
基金项目:国家自然科学基金,河北省教育厅科研计划项目
摘    要:通过分析已有的索引结构在进行k近邻查询时效率上的不足,提出了适合进行k近邻查询的X*树索引结构,采用了新的结点分裂算法,同时不需要额外存储结点分裂的历史信息。实验结果表明它比X树的时间和空间性能更好,更适合k近邻查询的应用。

关 键 词:k近邻查询  高维索引结构  结点分裂  带权重叠率
修稿时间: 

X*tree index structure for k nearest neighbor queries
ZHANG Debin,CAO Lijun,LIANG Yongxin,ZHANG Zhongping.X*tree index structure for k nearest neighbor queries[J].Computer Engineering and Applications,2011,47(5):123-125.
Authors:ZHANG Debin  CAO Lijun  LIANG Yongxin  ZHANG Zhongping
Affiliation:1.College of Information Science and Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China 2.Hebei Normal University of Science & Technology,Qinhuangdao,Hebei 066004,China
Abstract:By analyzing the inefficiency of k nearest neighbor query in existing index structures,this paper presents X*tree index structure which is suitable to perform k nearest neighbor query.A new node splitting algorithm is adopted,and the Split History field is omitted.The experiment shows that it has better performance than X*tree in time and space complexity,and it is more suitable to k nearest neighbor query.
Keywords:k nearest neighbor query  high dimensional index structure  node splitting  weighted overlap
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