calc_pca

• True (default) / False

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The principal component analysis(PCA) is the process of computing the principal components and using them to modify the basis of data. It is useful to reduce the number of dimensions in the vectors in a dataset. calc_pca determines whether SIMPLE-NN calculates pca(True) or not(False).