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.
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.
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.
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.
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.
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