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並前往https://stats.stackexchange.com/questions/235882/pca-in-numpy-and-sklearn-produces-different-results

PCA in numpy and sklearn produces different results [closed]

you need to sort the eigenvalues (and eigenvectors accordingly) descending idx = np.argsort(evals)[::-1] evecs = evecs[:,idx] evals = evals[idx] a ...

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