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  Directory: Algorithm
  Dev tools: matlab
  File size: 4 KB
  Update: 2008-03-16
  Downloads: 3445
 Describe: PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction
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 Search in more than 2726348 codes/documents:
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 [pca_face_rec.rar] - This is based on the pca (Principal Component Analysis) algorithm for pattern recognition of the original face;
 [pca(Matlab).Rar] - principal component analysis algorithm (pca), which was prepared by a foreigner, it is very valuable reference
 [svm.rar] - Support Vector Machine (SVM), linear discriminant analysis (LDA), principal component analysis (pca) and artificial neural network (ANN) source code
 [lunwen.rar] - In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysis
 [Classification-MatLab-Toolbox.rar] - pattern recognition Matlab toolbox, including SVM, ICA, pca, NN pattern recognition algorithms, and so on, of great reference value