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| Posted: 28 Aug 2021 11:54 PM PDT 接机器学习算法整理 scikit-learn中的PCA from sklearn.decomposition import PCA import numpy as np import matplotlib.pyplot as plt if __name__ == "__main__": X = np.empty((100, 2)) X[:, 0] = np.random.uniform(0, 100, size=100) X[:, 1] = 0.75 * X[:, 0] + 3 + np.random.normal(0,...  |
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