In this paper,a new approach is presented on the basis of eigenface. It uses the angle between vectors of eigenface space as the similarity between face images,then recognizes and classi-fies face image by the nearest neighbor algorithm.
本文在特征脸的基础上提出了一种新的方法,在特征脸空间,用向量之间的夹角来衡量图像之间的相似度,用最近邻法对图像进行分类和识别。
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The Nearest Neighbor algorithm can be expanded beyond the closest match to include any number of closest matches.
最近邻算法可被扩展成不仅仅限于一个最近匹配，而是可以包括任意数量的最近匹配。
Considering spatial characteristic of data association, the nearest neighbor algorithm is investigated in detail.
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。
Among, the classifier is designed by the nearest neighbor algorithm and trained based on the pulmonary nodules in LIDC as the sample data.
采用最近邻法设计分类器，并以LIDC库中的结节数据作为样本集，使用留一法进行分类器训练。
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