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实现了fisher线性判别下的二维降为一维,并用三维图形实现了可视化-Fisher linear discriminant achieved under the two-dimensional reduced to one-dimensional and three-dimensional graphics to achieve a visual
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此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。
全部程序流程如下:
1、读取FAMALE.TXT文件把身高或体重给数组,并求x1的样本均值m1和内离散度S1;
2、读取MALE.TXT文件把身高或体重给数组,并求x2的样本均值m2和内离散度S2;
3、求最佳变换向量和阀值点;
4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M;
5、把最佳变换向量和阀值点、x代入判别方程g(x);
6、对本判别的错误率进行
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fisher discriminant analysis
特征选取-fisher discriminant analysis
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利用fisher线性判别准则对数组进行分类的示例-Fisher linear discriminant classification of an array
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Fisher线性判别函数是研究线性判别函数中最有影响的方法之一。-Fisher linear discriminant function is one of the most influential in linear discriminant function.
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不仅使用了kernel trick ,还是用了加权的最大边缘规则,获得较好的识别效果。-A new kernel-based learning algorithm, called kernel weighted maximum margin
discriminant analysis (KWMMDA), is presented in this paper. Different from the previous
discriminant analysis algorithms base
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基于FIsher线性判别的两类模式分类器-Two kinds of pattern classifier based on Fisher linear discriminant
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采用Fisher线性判别法对两类样本进行分类的的程序-the program of Fisher linear discriminant classification of two types of samples
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Fisher线性判别验证程序,以简单二分类为例说明的-Fisher linear discriminant validation process, a simple classification as an example
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模式识别的分类程序,包括Fisher判别、神经网络等多种方法-Pattern recognition, classification procedures, including the Fisher discriminant and neural network, a number of ways
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fisher判别分析的matlab压缩文件-fisher discriminant analysis
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模式识别中的fisher线性判别器。适合于初学者。包括matlab源代码和相关测试数据。-Fisher linear discriminant pattern recognition.
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Matlab实现Fisher线性分类器和Perceptron线性分类器,包含2D图形生成,实验数据采用井字棋数据-Fisher and Perceptron Linear Discriminant Analysis Matlab implementation using Tic-tac-toe data
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一款用于对数据进行判别分析的小程序,采用的是fisher 距离判别法,在多元统计学习中广泛应用。用R语言编写-The applet a discriminant analysis of the data using the fisher the distance discriminant law, widely used in the multivariate statistical learning. Written in the R language
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matlab实现模式识别中fisher判别,并显示判别结果-matlab achieve pattern recognition fisher discriminant and display the result of the discrimination
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Fisher线性判别方法 Bayes决策的错误率的计算 分类器错误率的估算方法-Fisher linear discriminant method Bayes decision error rate calculation classifier error rate estimation method
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基于ORL人脸库的人脸识别,基于PCA降维、K邻域识别法;以及PCA降维,Fisher判别-Face recognition based on the ORL database, based on the PCA dimension K neighborhood identification method PCA dimension, Fisher discriminant
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Fisher线性判别是线性分类算法中最基本的一种算法,其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上,再进行分类-Linear discriminant analysis is one of the most basic algorithm for linear classification algorithm, the basic idea is to divide the sample projection D dimensional space into one of the
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从高维信号提取特征并同时降维到低维信号。为图像表示、图像分类、模式识别等进行特征提取。-local Fisher Discriminant Analysis
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分别利用fisher判别法和近邻法对一组声呐数据进行模式识别,计算分类的正确率-Respectively, and the use of fisher discriminant method nearest neighbor method sonar data to a set of pattern recognition, to calculate the correct classification rate
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