This file contains some of the classic pattern recognition matlab code, such as: SVM, neural networks, nearest neighbor and so on.

200921070624 实践作业\BP神经网络\07 点 28 分 51 秒.bmp
.......................\..........\09 点 23 分 55 秒.bmp
.......................\..........\09 点 26 分 54 秒.bmp
.......................\..........\bpnewff.m
.......................\..........\BP神经网络.doc
.......................\特征变换\17 点 03 分 20 秒.bmp
.......................\........\17 点 03 分 44 秒.bmp
.......................\........\kltransformation.m
.......................\........\特征变换.doc
.......................\....选择\16 点 40 分 02 秒.bmp
.......................\........\16 点 40 分 33 秒.bmp
.......................\........\featureselect.m
.......................\........\特征选择.doc
.......................\聚类分析\15 点 53 分 55 秒.bmp
.......................\........\15 点 55 分 20 秒.bmp
.......................\........\ttsas.m
.......................\........\聚类分析实验报告.doc
.......................\近邻法\11 点 12 分 30 秒.bmp
.......................\......\11 点 12 分 59 秒.bmp
.......................\......\11 点 13 分 27 秒.bmp
.......................\......\11 点 37 分 41 秒.bmp
.......................\......\knnearest.m
.......................\......\近邻法.doc
.......................\非线性支撑矢量机\22 点 05 分 42 秒.bmp
.......................\................\22 点 06 分 23 秒.bmp
.......................\................\svmquadratic.m
.......................\................\svmrbf.m
.......................\................\非线性支撑矢量机.doc
.......................\BP神经网络
.......................\特征变换
.......................\特征选择
.......................\聚类分析
.......................\近邻法
.......................\非线性支撑矢量机
200921070624 实践作业

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