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the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis
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用于matlab代码求解向量机模型，实现数据分类，得到最优分类面；求解幅频特性-For matlab code to solving vector machine model for data classification, the optimal classification surface solving the amplitude-frequency characteristics
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线性分类器可以实现线性可分的类别之间的分类决策，其形式简单，分类决策快速。但在许多模式识别的实际问题中，两个类的样本之间并没有明确的分类决策边界，线性分类器（包括广义线性分类器）无法完成分类任务，此时需要采用其它有效的分类方法。贝叶斯分类器就是另一种非常常见和实用的统计模式识别方法。-Linear classifier can be realized linearly separable classification decision between classes in the form of
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模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
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模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
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这个是matlab分类工具箱,有大概三十多个matlab原程序-This is the classification of the matlab toolbox, there are probably more than 30 matlab program
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