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这个程序是做课程设计用的，希望对有需要的同学进行有帮助，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This procedure is done with the course design, and I hope there is a need for students to help, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimens
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这个程序是在国外的网站下载，希望对有需要的同学有用，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This program is downloaded from the website in a foreign country, I hope to needy students useful, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimen
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matlab下编译的pca算法进行数据减维程序，适合初学者使用-Pca algorithm for data dimension reduction, suitable for beginners to use
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This the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then KNN is applied for classification.-This is the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then
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这是一个人机交互界面，里面包含了PCA、MDS、流形学习等一些算法供大家使用-This is a human-computer interaction interface, contains the some algorithms such as PCA, MDS, manifold learning for all to use
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this about principle component analysis is used for dimension reduction -this is about principle component analysis is used for dimension reduction
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lle降维，可以参考非线性降维的方法，感觉没lda好用，比pca还行(LLE dimension reduction)
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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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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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应用于数据降维的一种MATLAB程序，可以实现从高维到低维的降解(A matlab program applied to data dimensionality reduction can realize the degradation from high dimension to low dimension)
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