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搜索资源 - Principal component analysis PCA
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实现简单主成分分析,可求取主成分,单个贡献率以及累计贡献率-
Simple principal component analysis, principal component may strike, a single contribution rate and the cumulative contribution rate
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PCA(Principal Component Analysis)不仅仅是对高维数据进行降维,更重要的是经过降维去除了噪声,发现了数据中的模式。
PCA把原先的n个特征用数目更少的m个特征取代,新特征是旧特征的线性组合,这些线性组合最大化样本方差,尽量使新的m个特征互不相关。从旧特征到新特征的映射捕获数据中的固有变异性。-PCA (Principal Component Analysis) is not just for high-dimensional data dimensiona
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高斯拟合函数和主成分分析-Gauss function fitting and principal component analysis
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PCA(主成分分析 principle component analysis),可用于二分类,故障检测等-PCA (principal component analysis ), can be used for two-class, fault detection, etc.
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利用MATLAB语言,主成分分析源代码,有具体分析距离,程序有详细注释-Using MATLAB language, principal component analysis source code, a detailed analysis the program detailed notes
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人脸识别技术作为生物体特征识别技术的重要组成部分,在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法(PCA)在人脸识别中的应用,在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真,并对样本图像进行了重构。本实验在ORL人脸库的基础上,选用每人前5张图片,共计40人200幅样本图像,通过快速PCA算法将10304维的样本特征向量降至20维,并实现了基于主分量的人脸重建,验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Fac
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本程序使用MATLAAB R2014a 编写,基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数,并附带了人脸库,使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face
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PCA_emample1.m
zz500为1200*500的矩阵
PCA主成分分析.doc为PCA的原理详解-PCA_emample1.m zz500 matrix PCA 1200* 500 Principal Component Analysis .doc to explain the principles of the PCA
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利用主成分分析PCA的方法来进行人脸图像的图像图像处理,不仅包含MATLAB代码,还含C++代码,并附有PPT说明-Principal component analysis PCA method for face images of image processing, contains not only the MATLAB code also contains C++ code, along with instructions PPT
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主成分分析(Principal Component Analysis,PCA), 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量,转换后的这组变量叫主成分。-Principal component analysis is a statistical method. A set of variables that may be related to a set of variables that may be correlated to a set of vari
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图像处理与识别实现分类算法功能的函数PCA(主成分分析)方法-PCA (principal component analysis) function of image processing and recognition to achieve classification algorithm
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pca主成分分析,计算各对象主成分得分,然后进行排序。-pca principal component analysis, principal component scores calculated for each subject, and then sorted.
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PCA主元分析法求主元个数,Q和T2的源程序-PCA principal component analysis method for the number of main elements, Q and T2 of the source
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主成分分析PCA降维,欧氏距离分类,训练与测试与识别完整的流程-Principal component analysis PCA dimension reduction, Euclidean distance classification, training and testing and identification process complete
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主成分分析法,将繁冗的成分缩减成主要控制成分,这些主控因素都是影响程度比较大的因素-Principal component analysis method, reduces the burdensome component to the main control components, the main controlling factors are factors that impact is relatively large
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主成分分析法 实现图像数据的降维 matlab代码编写-PRINCIPAL COMPONENT ANALYSIS OF IMAGE DATA
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关于数据的主成分分析代码,可用于数据预处理。-The principal component analysis of the data code, can be used for data preprocessing.
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PCA及whiten算法MATLAB实现,Principal Component Analysis,主成分分析,白化-PCA and whiten algorithm MATLAB realize, Principal Component Analysis, Principal Component Analysis, albino
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Robust Principal Component Analysis with Complex Noise
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PenSim Data
Simulated data for training set for Partial Least Square (PLS) or Principal Component Analysis (PCA) Fault Detection
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