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2DLDA written in MATLAB algorithm and its applicat
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Application of 2dlda algorithm for face recognition, compared to 2DPCA nearest neighbor classifier algorithm, linear discriminant analysis method has two good results ... ... ... ... ... ... ....
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Two-dimensional principal component analysis written in Matlab code for face recognition
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Two dimension main ingredients analysis method is General of for down dimension of method, also became K-L transform, can for people face recognition in the features extraction, because with matrix to expressed people face image, numerical compared big, handling enough convenient, so two dimension main ingredients analysis can used to down dimension, reduced part of calculation volume but can obtained with original image same of effect, compared to PCA,, reduced has is big of calculation volume..
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