说明：  清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；
(Tsinghua second operation pattern recognition using dataset2.txt data for training samples, using height and weight characteristics of sex, to establish minimum error Bayesian classifier 2, using height and weight data as a feature to dataset2.txt as a training data, using Fisher linear discriminant analysis classifier design 3, from the MLP, SVM, nearest neighbor method to choose a method of classification of the above experiments )