| 一种基于预分类的高效最近邻分类器算法 |
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| 引用本文： | 王卫东,郑宇杰,杨静宇,杨健.一种基于预分类的高效最近邻分类器算法[J].计算机科学,2007,34(2):198-200. |
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| 作者姓名： | 王卫东 郑宇杰 杨静宇 杨健 |
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| 作者单位： | 1. 江苏科技大学电子信息学院,镇江,212003;南京理工大学计算机系,南京210094
2. 南京理工大学计算机系,南京210094 |
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| 摘 要： | 本文的最近邻分类器算法是采用多分类器组合的方式对测试样本进行预分类，并根据预分类结果重新生成新的训练和测试样本集。对新的测试样本采用最近邻分类器进行分类识别，并将识别结果与预分类结果结合在一起进行正确率测试。在ORL人脸库上的实验结果说明，该算法对小样本数据的识别具有明显优势。
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| 关 键 词： | 最近邻分类器 预类别 多分类器组合 小样本问题 人脸识别 |
An Efficient Nearest Neighbor Classifier Algorithm Based on Pre-classify |
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| WANG Wei-Dong,ZHENG Yu-Jie,YANG Jing-Yu,YANG Jian.An Efficient Nearest Neighbor Classifier Algorithm Based on Pre-classify[J].Computer Science,2007,34(2):198-200. |
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| Authors: | WANG Wei-Dong ZHENG Yu-Jie YANG Jing-Yu YANG Jian |
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| Abstract: | 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. |
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| Keywords: | Nearest neighbor classifier Pre-classify Classifiers combination Small sample size problem Face recognition |
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