https://www.selleckchem.com/pr....oducts/mcc950-sodium
Linear discriminant analysis (LDA) aims to find a low-dimensional space in which data points in the same class are to be close to each other while keeping data points from different classes apart. To improve the robustness of LDA to non-Gaussian distribution data, most existing discriminant analysis methods extend LDA by approximating the underlying manifold of data. However, these methods suffer from the following problems 1) local affinity or reconstruction coefficients are learned on the basis of the relationships of all d
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