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английский) 3:
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s - [4], the pca method is used to predict and detect the face in which various energy ratios of even / odd symmetrical principalcomponents and their dissimilar sensitivities to sample differences are in use for feature selection which is based on a simplethe idea of the even - odd decomposition. SPCA is built on the fact that pca can be written as a regression type resource issue, witha quadratic forfeit; the lasso forfeit can then be directly merged into the retreat criterion, tends to a modified pca with sparseloadings
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