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amankharwal/kernel PCA.py Secret

Created May 17, 2021 12:58
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kernel PCA.py
from sklearn.datasets import make_circles
from sklearn.decomposition import KernelPCA
x, y = make_circles(n_samples=500, factor=0.1, noise=0.5)
kernel_PCA = KernelPCA(n_components=2, kernel="rbf", fit_inverse_transform=True, gamma=0.5)
x = kernel_PCA.fit_transform(x)
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