Use matlab realize a series of classification, such as least squares classifier, fisher classifier, logisitic classifier.

linear classification
.....................\c1test.txt
.....................\counterror.m
.....................\create_data.m
.....................\cross_validation.m
.....................\ctrain.txt
.....................\CV_counterror_train.m
.....................\errorrate.m
.....................\Fisher.m
.....................\Gradient.m
.....................\Kmeans.m
.....................\least_squares_bineary_classification.m
.....................\linear_regression.m
.....................\linear_regression_regularization.m
.....................\logistic_regression.m
.....................\logitic_counterror.m
.....................\ptest.txt
.....................\randperm_validation.m
.....................\ridge.m
.....................\Sigmoid.m
.....................\sign_0_1.m
.....................\sign_logistic.m
.....................\temp.m
.....................\xtest.txt
.....................\xtrain.txt
.....................\刘磊_SA13006030_report2.pdf
.....................\实验截图
.....................\........\erroerate_test.jpg
.....................\........\erroerate_test_lamata.jpg
.....................\........\error_num_train.jpg
.....................\........\figure.jpg
.....................\........\fisher线性判别决策平面.jpg
.....................\........\gradient.jpg
.....................\........\hessian矩阵.jpg
.....................\........\kmean.jpg
.....................\........\logistic回归的类别y的值.jpg
.....................\........\最大似然的解.jpg
.....................\........\正则化最小均方误差的形式.jpg
.....................\........\正则化最小均方误差的解.jpg
.....................\........\牛顿法的迭代公式.jpg

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