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利用主成分分析方法，对TE模型产生的故障数据故障1进行故障检测-Using principal component analysis, on the TE model failure data generated by a fault detection fault
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PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
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简单的主元分析法（PCA）的代码，希望能有帮助-Simple method of principal component analysis (PCA) of the code, hoping to help
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主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
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主要的源代码成分分析，您可以加载数据，然后可以直接使用无需修改-Principal component analysis of the source code, you can load data, and then can be used directly without modification
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主要介绍主分量分析，怎样提取主要特征来重构原始信号-Introduces the principal component analysis, how to extract the main features to reconstruct the original signal
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Principal Component Analysis. Very important for pattern recognition(ie. optical character recognition) A great fundamental file for the beginner. Even those who doesn t know what is variance can start learning about OCR basics from this pdf.-Princip
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c语言实现主成份分析的程序pca，对做主成分分析的朋友很有价值-c language program principal component analysis pca, Friends of the shots valuable component analysis
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主元分析 PCA的源代码程序 用于对于复杂的数据进行提取主元-The principal component analysis PCA source code program to extract the main element is used for complex data
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里面包含主元分析PCA的Matlab代码 协方差 贡献率-Matlab code which contains the covariance contribution rate of principal component analysis PCA
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用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等-For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc
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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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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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实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
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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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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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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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