Answers for "pca sklearn tutorial"

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PCA in sklearn

import numpy as np
from sklearn.decomposition import PCA
X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])
pca = PCA(n_components=2)
pca.fit(X)

print(pca.explained_variance_ratio_)

print(pca.singular_values_)

Posted by: Guest on July-12-2021

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