An Efficient Nearest Neighbor Classifier Algorithm Based on Pre-classify
一种基于预分类的高效最近邻分类器算法

A novel nearest neighbor classifier algorithm is proposed in this paper.The algorithm adopts classifiers combination to pre-classify test samples,and then reproduces new training and test sample sets.The new test samples are classified by nearest neighbor classifier.The results combined with pre-classifying ones are tested for recognition rate.In ORL face database,the experimental results prove that the algorithm outperforms traditional methods in small sample size problem.