摘要
针对球面上数据对象点集的特征和K最近邻查询的需求,提出2种处理球面上K最近邻查询的算法:基于查询轴的K最近邻查询算法(PAM方法)和基于查询圆面的K最近邻查询算法(PCM方法)。对2种算法进行实验比较,结果表明。
According to the characteristics of the datasets on the sphere, the algorithm of the K-Nearest Neighbor query based on the query axis (PAM) and the algorithm of the K-Nearest Neighbor query based on the query circular planar(PCM) are presented. Theoretical research and experimental results show that both the two methods can handle the problem of the K-Nearest Neighbor query on the sphere, compared with the PCM, PAM has advantages on the memory capacitance and the query efficiency, but the expansibility of PAM is poor and PCM has high scalability.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第2期52-53,56,共3页
Computer Engineering
基金
黑龙江省教育厅科学技术研究基金资助项目(11551084)
关键词
最近邻
球面
查询轴
查询圆面
索引结构
nearest neighbor: sphere
query axis
query circular planar
index structure