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手写数字识别之Fisher线性判别
- 手写数字识别之Fisher线性判别-handwritten figures identifiable Fisher Linear Discriminant
Fisher-linear-discriminant-method
- 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
Discriminant-PLS-
- 包括 • The NIPALS Algorithm for PCA • The NIPALS Algorithm for PLS • Discriminant PLS using the NIPALS Algorithm-PCA、PLS、Discriminant PLS
Discriminant-analysis
- matlab判别分析，很好的数学建模资料内含数据和程序源码-Discriminant analysis
mine-water-inrush-discriminant
- 无导师学习神经网络的分类——矿井突水水源判别-mine water inrush discriminant
a-quadratic-discriminant-function
- 一种二次判别函数在MATLAB环境中的实现与应用-A quadratic discriminant function in MATLAB Implementation and Application of
Chapter-10-Discriminant-Analysis
- 判别分析的码源，怎么说呢，就是好用，推荐下载-Discriminant analysis of the source code, how should I say, that is easy to use, recommended download! !
Linear-discriminant-analysis
- 线性判别分析的人脸识别系统代码 实现二维人脸的识别-Linear discriminant analysis for face recognition system code
guassian-discriminant-analysis
- 基于opencv实现的c++版高斯判别分类，随机生成两类满足正态分布的训练样本点，利用高斯判别分析进行分类-Based on c++ version of the opencv, we realized gaussian discriminant classification by randomly generating two classes meet normal distribution of the training sampl
Discriminant-analysis
- 判别分析又称“分辨法”，是在分类确定的条件下，根据某一研究对象的各种特征值判别其类型归属问题的一种多变量统计分析方法。其基本原理是按照一定的判别准则，建立一个或多个判别函数，用研究对象的大量资料确定判别函数中的待定系数，并计算判别指标。据此即可确定某一样本属于何类。-Discriminant analysis, also known as "distinguished law" is classified under the condi
Rotational-Linear-Discriminant-Analysis-Using-Bay
- Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction
fishers-linear-discriminant
- THIS IS FISHER LINEAR DISCRIMINANT MATLAB CODE
fisher-linear-discriminant-analysis
- 本函数的功能是通过使用fisher线性判别方法求取数据的fisher直径，最佳分类数和最小分类损失函数。-Features of this function is to strike a diameter of data by using fisher fisher linear discriminant analysis method, the optimal number of categories and minimum loss
LDA_Linear-Discriminant-Analysis
- 将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性，与PCA区别：LDA考虑分类标签，属于有监督分类。-Linear discriminant analysis (LDA) is a generalization of Fisher s linear discriminant, a method used i
discriminant-analysis
- 判别分析又称“分辨法”，是在分类确定的条件下，根据某一研究对象的各种特征值判别其类型归属问题的一种多变量统计分析方法。-Discriminant analysis, also known as resolution , is a kind of multivariate statistical analysis method based on the classification and determination of the va
Extended-Fisher-Discriminant
- 改进型线性判别分析以及新提出的关于两个变量之间距离的比较方法 -Improved linear discriminant analysis and a new method for the comparison of the distance between two variables
discriminant-analysis
- 判别样本所属类别的方法，主要包括Fisher判别、朴素Bayes判别和距离判别等-The method for determining the sample belongs to the category of specific methods include Fisher discriminant, discriminant and Bayes discriminant distance
Discriminant-analysis
- 基于matlab的判别分析算法，供大家参考参考。-Discriminant analysis
purforms-Discriminant
- ldatrace performs Linear Discriminant Analysis with optional-Ldatrace performs Linear Discriminant Analysis with optional
7.MvDA_Code
- 多视图鉴别分析的matlab代码，该代码对应的论文为：2015年PAMI上发表的《Multi-view Discriminant Analysis》(This is the matlab code of the Multi-view Discriminant Analysis (MvDA) algorithm)