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fisher线性分类器算法，算法实现三维空间中样本中各点的分类情况。-fisher linear classifier algorithm to achieve three-dimensional sample points in the classification.
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function [clusters,c,F]=fisher_classify(A,B,data)
fisher判别法程序
输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本
输出C为判别系数向量
-function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known typ
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使用Fisher 现行判别函数对给定的样本进行训练，对于两类，Fisher线性判别函数很好做，就是 w = Sw (m1 - m2), 其中：Sw为总类内离散度矩阵， m1, m2, 为两个模式类的均值-Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function is well done, that is, w = Sw
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用fisher分类器实现简单的分类，首先进行样本的训练，然后对待测样本进行测试，程序中画出了分界面。-Fisher classifier with a simple classification, first of all to the training sample, then treatment of test samples for testing, the interface of the program are drawn.
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用matlab实现两类样本fisher算法，可以自己改变输入样本数，和判决样本，但是只分了两类，如果需要更多类在这个基础上研究一下就好-The matlab realize two types of samples fisher algorithm can change the number of input samples, and judgment sample, but divided into only two categories, if you need more class loo
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FM调制和解调，matlab语言实现，可以改变fs，fc，ft - Fisher4Cast
Authors: Bruce A. Bassett, Yabebal Fantaye, Renee Hlozek and Jacques Kotze
The Fisher4Cast suite provides a standard, tested tool set for general Fisher Information matrix prediction and f
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fisher变换可以将 维空间的样本投影到一条直线上，形成一维空间，这个就是用matlab解决fisher的例题-the fisher transform a sample-dimensional space can be projected onto a straight line, forming a one-dimensional space, this is solved with matlab fisher Example
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模式识别中Fisher线性分类器的Matlab实现，将随机数分类并人机交互地输入测试点。-Fisher linear classifier in pattern recognition written in Matlab. It generates random sample dots and input test samples via clicking.
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利用matlab实现Fisher分类器，可以对线性可分的样本进行线性分类-Fisher classification algorithm using matlab realize, you can sample linearly separable linear classification
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