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采用GdI+编程实现了，图像的读入，图像像素数据的采集和分析，通过线性判别函数和一个圆形判别函数来分离图像和背景-By GdI+ programming, and read the image, the image pixel data collection and analysis, linear discriminant function and a circular discriminant function to separate the image and the background
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This a MFC program to test direct linear discriminant analysis (direct LDA) for face recognition. Histogram equalization is used as a preprocessing and direct LDA is used to reduce a dimension in feature space from train images. Minimum Euclidean dis
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编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
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Linear discriminant analysis
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fisher模式识别线性判别分析，在信号处理中运用比较普遍-fisher linear discriminant analysis pattern recognition, signal processing used in the more common
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在模式识别中线性判别函数的MATLAB实现，与程序分析-Linear discriminant function in pattern recognition of the MATLAB implementation, and program analysis
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LDA（线性判别分析）程序，给大家参考一下啊-LDA (linear discriminant analysis) program, for your reference.
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实用可能的主成分分析(PCA)与线线性判别分析(LDA)，训练与检测，
-The utility may be the principal component analysis (PCA) and the line of linear discriminant analysis (LDA), training and testing,
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Matlab写的fisher 分类器,很简单适合初学者，体验机器学习的过程-Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.
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模式识别的fisher线性判别分析lda方法-Pattern Recognition fisher linear discriminant analysis lda method
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Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature v
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运用PCA和LDA进行人脸识别的MATLAB代码
-do the face recognition use the principal component analysis and linear discriminant analysis
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Regularized Linear Discriminant analysis. EEG signal
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trainer Linear Discriminant analysis. EEG signal
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详细说明:使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现-matlab implementation of the LDA algorithm and the realization of the linear Discriminant Analysis
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本程序是一个线性判别式分析(LDA)分类器程序.里面有完整的源码-This procedure is a linear discriminant analysis (LDA) classifier program. There is a complete source code
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Dimensionality reduction is one of the important preprocessing
steps to handle high-dimensional data. Linear discriminant
analysis (LDA) is a classical and popular approach for this purpose.
LDA finds an optimal linear transformation, which max
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Its linear discriminant analysis
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主成分分析法和线性判别分析常用来对原始数据进行简单的数学分析(Principal component analysis and linear discriminant analysis are usually used for simple mathematical analysis of raw data.)
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airpls扣掉原始数据荧光背景，pls提取主成分，lda进行线性判别分析。程序和数据完整，不懂欢迎询问(Airpls's original data of fluorescence background, pls principal component extraction, linear discriminant analysis. Program and data integrity, welcome to inquire)
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