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matlab中PCA-fisher判别法，对数据降维有很好的效果，附件中是matlab2007源程序，不同的matlab版本需要稍微修改一下；-Discriminant law PCA-fisher MATLAB, to reduce the dimension of data have a good effect, accessory is the MATLAB2007 source code, a different version of the MATLAB needs to be sli
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模式识别线性判别的程序实现，产生两个二维正态分布随机样本，分别进行Fisher线性分类和感知器分类。其中main.m是主函数，将三个程序放在同一文件夹中，运行main.m即可得到分类结果。-Pattern recognition linear discriminant program implementation, generate two-dimensional normal random sample, were Fisher linear classifier and Perceptron
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This a matlab version of Fisher linear discriminant classifier-This is a matlab version of Fisher linear discriminant classifier
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Fisher Linear Discriminant based program for face classification
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【matlab国外编程代做】 Fisher二元线性判别 Matlab源码 -[Do] matlab programming abroad on behalf of the Fisher linear discriminant Matlab binary code
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【matlab编程代做】Fisher二元线性判别 Matlab源码 -[do] matlab programming generation Fisher two element linear discriminant Matlab source code
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Fisher线性判别分析和稀疏表示结合的人脸识别程序-Face recognition based on Fihser discriminant and Sparse representation
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fisher linear discriminant
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模式识别中基于监督的分类方法。贝叶斯、fisher线性判别-Supervised classification method based on pattern recognition. Bayes, fisher linear discriminant
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基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
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Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition:
Principal Component Analysis
Fisher’s Linear
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人工免疫网络实现分类聚类函数寻优，算法不错，希望对大家有用-This is the Fisher linear discriminant classifier, the general classification of the image of a good effect of artificial immune network to achieve classification clustering function optimization, the algorithm is good,
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Fisher线性判别函数是研究这类判别函数中最有影响的方法之一。对线性判别函数的研究就是从R.A.Fisher在1936年发表的论文开始的。-Fisher linear discriminant function discriminant function is one of the most influential of these methods research. Research on linear discriminant function is RAFisher published
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模式识别中的脱机字符识别,包括手写数字识别之Fisher线性判别,-Off-line character recognition in the pattern recognition, including the Fisher linear discriminant of handwritten numeral recognition,
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性判别式分析(Linear Discriminant Analysis, LDA)，也叫做 Fisher 线性判别
(FisherLinear Discriminant,FLD)， 是模式识别的经典算法(Linear Discriminant Analysis)
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使用fisher线性判别函数对iris与sonar数据集进行分类(Using Fisher linear discriminant function to classify iris and sonar datasets)
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