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子空间学习的代码，主要包括人脸识别中常用的特征提取算法如pca lda 以及目前常见的流行学习的相关代码-Subspace learning the code, mainly including commonly used in face recognition feature extraction algorithms such as pca lda and the current prevalence of common learning-related code
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课程设计源代码，实现功能在文档内有介绍。内含knn、bayes识别及pca、lda进行特征提取多种算法，运行参照readme。-The project source code.The realized function is introduced in the pdf document in the files including knn,bayes classification and pcd,lda feature extraction algorithms.Please read read
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PCA特征提取。LDA降维的人脸识别代码。可用作为初学者使用。-PCA feature extraction. Face recognition code LDA dimensionality reduction. Available for beginners to use.
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2D线性判别分析工具箱，该方法为Pattern recognition letters关于2DLDA的源码(2D linear discriminant analysis toolbox, which is the source code for Pattern recognition letters on 2DLDA)
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