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主元分析中对主元的个数确定目前没有非常好的办法,这里提供一个比较方便实现的matlab程序,利用累计方差贡献率确定主元个数的matlab程序-Principal component analysis of main elements to determine there is no good way, here to provide a more convenient realization of the matlab program, using the cumulative variance
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主分量分析的源代码，附有简单的解释说明，主要对图像矩阵做降维处理，适用多幅图像的变化检测-Principal component analysis of the source code, a simple explanation, the main image matrix reducing dimension, suitable for image change detection
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基于主成分分析的人脸(pca)的人脸图像特征提取和识别，文件内有图库和程序。直接运行就可以了。-Based on principal component analysis (pca) face of face image feature extraction and recognition, there were atlas and program files. Run directly.
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PCA算法实现，对一组数据进行主成分分析。文件中提供的CMyPCA.cpp文件实现了PCA算法，并在工程文件中通过举例说明了算法的使用方法。-PCA algorithm, principal component analysis of a set of data. Provided in the document CMyPCA.cpp files PCA algorithm, and illustrates the use of the algorithm adopted in the proj
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一篇用于理解PCA主成分分析的文章，该文章用基于Opencv和C++的源码对PCA进行说明。-One used to understand the PCA principal component analysis of the article, the article described the PCA-based the Opencv and C++ source.
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该源码使用主成分分析对原数据点进行分析。-Reshape the data points using the principal component analysis
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基于VC++的RGB-IHS 变换实现过程和主成分分析 PCA 实现过程 .-The implementation process based on VC++ RGB-the IHS transform and principal component analysis PCA implementation process.
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主成份分析的源码，简单易懂，有效代码不超过十行，有注释，注释中注明了代码出处。-The source code of the principal component analysis, easy to understand and effective code not more than ten line, have comments, comments indicate the source the code.
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主成分分析，支持向量机介绍，PDF文档，自制-Principal component analysis, support vector machine, PDF documents, homemade
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对人脸图像进行主成份分析，并显示训练子空间的特征脸。-Principal component analysis of face images, and displays the characteristics of the training subspace face.
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PCA主成分分析的matlab代码，可以用来学习原理，效果还不错-PCA principal component analysis can be used to study the principle, the results were pretty good
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C++语言写的PCA降维算法，里面有两个主元分析C++代码-PCA language C++ dimensionality reduction algorithm, there are two principal component analysis C++ code
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基于主成分分析的人脸识别系统，用matlab写的-Written based on principal component analysis of face recognition system using matlab
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提出一种基于主成分分析(PCA)分解的图像融合框架。对源图像进行主成分分析,依据前几个主成分重建图像,经过下采样过程得到近似图像,对近似图像进行上采样,得到上层图像的差异图像(即细节图像),将最底层近似图像与各层细节图像进行累加完成图像的重构-The proposed fusion framework based on principal component analysis (PCA) decomposition. Principal component analysis of the sou
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PCA Principal Component Analysismatlab代码-PCA Principal Component Analysis matlab code
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PCA是主成分分析，能够在众多的因素中找出重要的影响条件，并分析PCA的贡献率-PCA is the principal component analysis to identify important impact in a number of factors, and analyze the contribution rate of the PCA
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使用主成分分析进行人脸图像的识别，并计算识别率-Using principal component analysis for face image recognition, and calculate the recognition rate
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PCA:Principal Component Analysis
Usage:
[eigvector, eigvalue] = PCA(data, options)
[eigvector, eigvalue] = PCA(data)-PCA Principal Component Analysis
Usage:
[eigvector, eigvalue] = PCA(data, options)
[eigvector, eigvalue
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In order to fulfill the implementation of this project there are three main objectives that need to be achieved:
1. To learn and apply a technique for object recognition for single and multiface detection.
2. To examine the principal compon
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应用主成分分析的方法实现数据降维，主成分个数通过累积方差贡献率的方法来确定-The principal component analysis of data dimensionality reduction, the number of principal components to determine the cumulative variance contribution rate
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