pca (Principal Component Analysis)

PCA main parameters:

n_components: This parameter can help us specify the number of feature dimensions we want after PCA dimensionality reduction.
whiten: To determine whether to whiten, that is, to normalize each feature of the dimensionally reduced data
svd_solver: That is, to specify the method of singular value decomposition SVD

 

 

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