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用matlab实现的主成分分析，线性回归函数-using Matlab achieve the principal component analysis, linear regression function.
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利用Matlab编程实现主成分分析,从数学角度来看，这是一种降维处理技术-Using Matlab programming principal component analysis, from a mathematical point of view, this is a dimension reduction process technology
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从网络上截获的数据总是很多很杂的，而且有很多重复的，雷同的信息。为了能够更快速的从这些数据中获得信息，就需要对这些信息进行提炼和分析。这个PCA程序就是实现数据归类的，它能从大量多维的信息中提取主要的信息，即主成分，通过对这些个小数量的主成分进行分析，可以更快速有效地得到结果。-Intercepted from the network data is always a lot of very complicated and there are many repeated, identical i
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集成了C代码和MATLAB的主成分分析代码，可以用这两种方法解决求取特征值和特征向量。-C code and MATLAB integrates principal component analysis code, you can use two methods to solve strike eigenvalues and eigenvectors.
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这个有中文注释，看得明白，多元数据分析的主分量分析投影，中介真值程度度量，基于中介真值程度度量的图像分。(The Chinese have a comment, understand it, Principal component analysis of multivariate data analysis projection, The true extent of the value of the intermediary measure, measure the true extent o
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allan FOG output error variance analysis, Principal component analysis of multivariate data analysis projection, Particle image segmentation and matching subroutines themselves are prepared.
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It draws on principal component analysis algorithm (PCA), matlab wavelet analysis program, Time series data analysis Mellin transform tool.
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Principal component analysis of multivariate data analysis projection, Energy spectrum analysis and calculation, Bayesian parameter estimation principle mixed logit model.
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Stepwise linear regression, Minimum mean square error (MMSE) algorithm, ICA (Principal Component Analysis) algorithm and procedures.
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EOF经验正交分解，是一种主成分分析方法用python语言实现，EOF计算得到了几个模态和对应的时间系数(EOF---Orthogonal decomposition of experience, is a principal component analysis method using python language, EOF calculated several modalities and the corresponding time coefficient)
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