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利用matlab进行pca主成分分析,简单易懂,适合新手(The use of MATLAB PCA, principal component analysis, simple, suitable for beginners)
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MATLAB实现主元分析法,实现数据的压缩,提取主元(MATLAB realize Principal Component Analysis, To achieve data compression, extract the principal component)
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主成分分析主要进行降维处理,以减小变量数目和使信号独立(Principal component analysis mainly reduces dimensionality to reduce the number of variables and make the signal independent)
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PCA故障分析程序,主元分析法,故障诊断,TE过程的数据。(PCA fault analysis program, principal component analysis, fault diagnosis, TE process data.)
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PCA adalah teknik statistik yang sudah digunakan secara luas baik dalam hal pengenalan wajah maupun pengenalan pola dari sebuah gambar. Metode Principal Component Analysis (PCA) dibuat pertama kali oleh para ahli statistik dan ditemukan oleh Karl Pea
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PCA主成分分析源代码,PCA是用于降维是经典方法,现在仍有很多人用主成分分析方法进行降维,降低算法复杂度。(PCA is the source code of principal component analysis. PCA is a classical method for dimensionality reduction. Many people still use principal component analysis to reduce dimension and reduce a
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基于主成分分析的遥感图像融合算法,融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)
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PCA程序,处理绿萝的数据,机器学习,进行主成分分析,提取指定重要特征的方法。(PCA program, data processing ,Scindapsus, machine learning, principal component analysis method, A method of specifying important features .)
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主成分分析,贡献率排序,各成分贡献率,累计贡献率。自己输入数据矩阵和想要的主成分个数,有大量中文注释(Principal component analysis, ranking of contribution rate, contribution rate of each component, and cumulative contribution rate. You enter the data matrix and the number of the principal components
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opencv下,用PCA主成分分析的方式做人脸识别(Using PCA principal component analysis to do face recognition)
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主成分分析,提取图像中的SIFT特征点,用于图像识别和分类(Principal component analysis (PCA), extracting SIFT feature points in images for image recognition and classification)
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一种特征提取方法:结合主元分析(PCA)和核主元分析(KPCA)的前馈神经网络(FNN)(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))
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基于PCA主成分分析算法和Yale人脸数据库,采用Matlab语言实现的人脸识别程序,整个程序分为预处理、训练、识别、GUI界面控制等几个模块,注释清晰,通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
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主成分分析是把原来多个变量划为少数几个综合指标的一种统计分析方法。 从数学角度来看,这是一种降维处理技术。(Principal component analysis (PCA) is a statistical analysis method that divides a number of variables into a few comprehensive indexes.From a mathematical point of view, this is a kind of dimensi
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pca 主成分分析的matlab代码。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。(PCA principal component analysis matlab code. Principal component analysis (Principal Component, Analysis, PCA) is a statistical method
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主成分分析法求得主成分回归方程,从而达到降维目的。(Principal component analysis method for obtaining the regression equation of principal components)
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将图像进行主成分分析,并显示第一主成分,方法很好用的(The principal component analysis is performed and the first principal component is displayed.)
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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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本程序可以对高维数据进行降维,便于得到主成分进行后续分析。(This program can reduce dimension of high-dimensional data and facilitate principal component analysis for subsequent analysis.)
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主成分分析程序,能够对高维数据降维分析,适用于高维特征降维,大数据分析(The principal component analysis program can analyze dimensionality reduction of high-dimensional data.)
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