Description: 线性判别分析法（LDA），LDA以提高样本在子空间中的可分类为目标。寻找一组基向量，在这些基向量张成的子空间中，不同类别的训练样本能有最小的类内离散度，最大的类间离散度。-Linear discriminant analysis (LDA), LDA in order to improve the sample in the sub-space can be classified as a target. Find a group-based vector, vector-based Zhang in these sub-space, different types of training samples can have the smallest dispersion category, the largest between-class dispersion. Platform: |
Size: 1024 |
Author:李伟 |
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Description: 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 types of samples- variable matrix, data to be classified as output samples for discriminant coefficient vector C Platform: |
Size: 1024 |
Author:王晶 |
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Description: 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 ' (m1- m2), where: Sw of the total within-class scatter matrices, m1, m2, the mean value for the two pattern class Platform: |
Size: 1024 |
Author:shihao |
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Description: 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. Platform: |
Size: 66560 |
Author:becky |
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Description: 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 look like on this basis Platform: |
Size: 1024 |
Author:张华 |
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Description: 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 forecasting for use in both research and education. The toolbox design is robust and modular, allowing for easy additions and adaptation while keeping the user interface intuitive and easy to use. Fisher4Cast is completely general but the default code is written for cosmology. It provides parameter error forecasts for cosmological surveys that provide distance, Hubble expansion and growth measurements in a general, curved FLRW background. See the accompanying paper, http://arxiv.org/abs/0906.0993 , for further details and examples of novel applications in Observational Cosmology.
The release package contains documentation (Manual, Quickstart guide and sample code to produce figures) in addition to the code which can be run in both command line and GUI format (th Platform: |
Size: 3301376 |
Author:刘欢 |
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Description: 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 Platform: |
Size: 1024 |
Author:刘金 |
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Description: 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. Platform: |
Size: 1024 |
Author:LiuJingyuan |
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