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pca Algorithm 2720000 source codes to download - www.pudn.com
Directory: Algorithm
Dev tools: matlab
File size: 4 KB
Update: 2008-03-16
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:
[pca-matlab.rar] - pca algorithm source code. Artificial Intelligence and Pattern Recognition doing friends necessary. For dimensionality reduction.
[adapting.rar] - Given to the principle of sparse coding will be 10 coefficients of natural images into separate image-based.
[GHWpca.rar] - VC 6.0 Principal Component Analysis code, including the relationship matrix, covariance matrix, and the function of factor analysis

[colorednoise.rar] - Containing colored noise filtering of the signal processing, and carried out a simulation.
[pca.rar] - pca algorithm for face recognition feature extraction step is currently the most common in traditional face recognition algorithms. By constructing fe
[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