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这个是容易看懂的2dpca MATLAB程序,简单-This is easily accessible 2dpca MATLAB procedures, simple
Update : 2025-02-19 Size : 1kb Publisher : 郝跃军

在特征提取阶段,研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取,由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵,计算量小,所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA and other methods. Vector is different from the PCA-based image feature extraction, as 2DPCA, (2D) ZPCA, DiagPCA and DiagPCA-I-2DPCA the feature extraction are directly based on image matrix, a small amount of calculation, so the speed of feature extraction method was significantly higher than PCA .
Update : 2025-02-19 Size : 44kb Publisher : 付采

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对数据进行主成分分析,以达到数据的降维。(The principal component analysis is performed to reduce the dimensionality of the data.)
Update : 2025-02-19 Size : 1kb Publisher : qwer-

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principal componanat Analysis
Update : 2025-02-19 Size : 193kb Publisher : anyy
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