该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
考虑到空间数据关联的特点，作者对空间最近邻居定位算法进行了详细的研究。
Considering spatial characteristic of data association, the nearest neighbor algorithm is investigated in detail.
阐述了基于相似度理论的最近邻居算法检索策略，能够对实例库中的实例进行检索。
The nearest neighbor algorithm a type of retrieval strategy based on similarity theory is described, and the case in the case base can be retrieved.
实验结果证明了该算法具有有效性，其性能优于其他基于最近邻居法的缺失值处理算法。
Experiments prove that the method is valid and its performance is higher than the other imputation methods based on k-nearest neighbors for gene expression data.
搜索过程采用了概率搜索策略、最近邻居策略和目标导引函数，使得搜索过程极为迅速高效。
Furthermore, the strategies of probabilistic search, nearest neighbor search and a goal guiding function are applied to enable the searching to be rapid and efficient.
该算法赋予每项评分一个按时间逐步递减的权重，利用加权后的评分寻找目标用户的最近邻居。
The rating is given a weight by a gradual time decrease which is weighted to search the nearest neighbor of the target user.
本文总结出空间索引系统应提供的三类空间查询：空间范围查询、最近邻居查询、空间连接查询。
We summarize that spatial index system should provides three kinds of spatial query, they are, spatial range query, nearest neighbor query, spatial join query.
随着系统中资源数目和用户数目的不断增加，在整个资源空间上用户评分数据极端稀疏，给有效的查找最近邻居带来了很大的困难。
The magnitudes of items and users in the system results in the extreme sparsity of user rating data, which makes it difficult to find neighbors effectively.
随着系统中资源数目和用户数目的不断增加，在整个资源空间上用户评分数据极端稀疏，给有效的查找最近邻居带来了很大的困难。
The magnitudes of items and users in the system results in the extreme sparsity of user rating data, which makes it difficult to find neighbors effectively.
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