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主成分分析,将多个变量通过线性变换以选出较少个数重要变量的一种多元统计分析方法。-Principal Component Analysis(PCA),a multivariate statistical analysis method, which is based on the linear transformation of multiple variables to fewer important variables.
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人脸搜索简单实现,使用主成分分析算法(PCA),依赖opencv,对若干张人脸图片进行PCA降维处理,然后将输入人脸图片与降维后的数据做比较,根据权重输出结果,权重越大则人脸越相似-Simple face search, using the principal component analysis (PCA) algorithm, opencv, for a number of face images for PCA dimension reduction, and then the input
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主成分分析(PCA)的MATLAB源程序,数据降维处理-Principal component analysis (PCA) of MATLAB source, data dimension reduction process.
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主成分分析(PCA)的matlab程序,用于数据处理-Principal component analysis (PCA) of the matlab program
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自己编写的主成分分析法的代码,可用于定位中特征的提取-Write your own code of principal component analysis (pca), can be used to locate in feature extraction
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主成分分析法PCA,matlab源码,欢迎下载。-Principal component analysis PCA, matlab source code, welcome to download.
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主成分分析(principal component analysis,PCA)是一种将高维数据投影到低维
数据的线性变换方法,这一方法的目的是寻找在最小均方意义下最能代表原始数据特征
的投影方向,用这些方向矢量表示数据。-Principal component analysis (PCA) is a kind of high dimensional data to the low dimension.The objective of this method is to find the
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Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components
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脉冲耦合神经网络PCNN,主成分分析PCA,NSCT分解和重构(Using MATLAB to Realize Pulse Coupling Neural Network PCNN, Principal Component Analysis PCA, NSCT Decomposition and Reconstruction)
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使用MATLAB实现主成分分析,其中包含两种不同的方法。(Two different methods are used to achieve principal component analysis by MATLAB.)
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K-Means算法,不要求建立模型之后对结果进行新的预测,没有相应的标签,只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
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主成分分析法的c++代码,有俩个版本的实现方法(C++ code of principal component analysis)
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主成分分析实现代码,以测试集辛烷值含量预测结果对比为例,内附数据,代码,matlab实现(Principal component analysis implementation code)
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pca是主成分分析,提取特征,对数据进行降维处理(PCA is principal component analysis, which extracts features and processes the data in reduced dimension)
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PCA主成分分析算法matlab源码,利用matlab实现PCA算法。(PCA principal component analysis algorithm matlab source code, using MATLAB to achieve PCA algorithm.)
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主成份分析代码,实现对信号的主成分分析和实现,有利于更好理解这部分功能。(Principal component analysis code, to achieve the main component of the signal analysis and implementation, is conducive to a better understanding of this part of the function)
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函数是封装好的主成分分析法的程序,输入原始数据矩阵即可(Function is a good package of principal component analysis of the procedure.
The original input data matrix can be input)
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PCA主成分分析,提取主特征,降维处理(PCA principal component analysis is used to extract the main features and reduce the dimensionality)
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可以实现主成分分析(PCA)和独立成分分析(ICA)。(This package contains functions that implement Principal Component Analysis (PCA) and Independent Component Analysis (ICA).)
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matlab里面运行的主成分分析通用程序,是常用的一种统计分析方法(General program running in MATLAB is a commonly used statistical analysis methodfor principal component analysis)
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