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主成分分析，因子分析，数理统计，英文课件-Principal Component Analysis PPT
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pca又称主成分分析，主要用来提取图像的主要成分，作为特征提取一个重要算法，将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition
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实现pca主成分分析算法的c语言代码，希望能帮到大家。-Pca principal component analysis algorithm to achieve the c language code, hope to help you.
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用主成分分析法，即PCA算法实现人脸识别-With principal component analysis, face recognition algorithm that PCA
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本程序含人脸特征提取的主成分分析（PCA）的源程序，希望对大家有用-The face feature extraction process with principal component analysis (PCA) of the source, we hope to be useful
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主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目
-Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variable
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实现pca变换，图像处理，算法，程序部分，主成分分析-Achieve pca transform, image processing, algorithm, program section, principal component analysis
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Principal Component Analysis
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The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
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主成分分析法，其本质是实现高纬到低维的分析，用matlab实现的代码-Principal component analysis, by its very nature is to achieve the high latitudes to low-dimensional analysis, implemented with the matlab code
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用MATLAB编写的人脸识别算法，对PCA主成分分析进行了改进-Face recognition algorithm using MATLAB, the PCA principal component analysis has been improved
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简单明白的Principal component analysis (PCA) 使用例子。针对对新手-Simple to understand example of PCA use.
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matlab algorithm，PCA (Principal component analysis)used for dimensionality reduction.
usage:[NEW_DATA, EIGVECTOR, EIGVALUE] = PCA(DATA, EIG_N)
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PCA_face_recognition，使用主成分分析PCA的方法进行人脸识别-PCA_face_recognition, using principal component analysis PCA method for face recognition
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该程序是主成分分析的重要程序，能对特征进行有效的分析。特别适合初学者。-自动检测中英文中译英英译中百度翻译
翻译结果（中 > 英）复制结果
The program is the principal component analysis of main program, the characteristics of effective analysis. Particularly suitable for beginners.
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The early detection of arrhythmia is very important
for the cardiac patients. This done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different typ
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principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called
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PCA一种基于MATLAB软件的利用主元分析算法-PCA principal component analysis algorithm
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基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
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线性主元分析，用于数据降维及压缩，分析数据组成成分-principal component analysis
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