说明：  在模式识别系统中，分类器是根据特征提取环节得到的特征向量建立决策规则，实现对被测试对象的判别归类。由于分类器设计的好坏直接影响整个模式识别系统的 性能，所以在训练样本等已知信息基础上构造有效的分类器是模式识别系统设计的一个核心任务。
(In the pattern recognition system, the classification is based on feature extraction to establish links in the feature vector decision rules, to achieve the object of discrimination on the classification being tested. Because classifier design will affect the performance of the entire pattern recognition system, so in the training sample on the basis of known information such as the classifier is to construct an effective pattern recognition system, a core task.)