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I have tried to reproduce the Kernel PCA and got results that are different from the KernelPCA of sklearn.
Here's the simple gist and example of eigenvector differences:
I have checked the source code of KernelPCA and applied it with eigen_solver='dense', which is as same as my manual method. Note that I also applied the centering in the manual one to make sure the steps are the same.
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I have tried to reproduce the Kernel PCA and got results that are different from the KernelPCA of sklearn.
Here's the simple gist and example of eigenvector differences:
I have checked the source code of KernelPCA and applied it with
eigen_solver='dense'
, which is as same as my manual method. Note that I also applied the centering in the manual one to make sure the steps are the same.Beta Was this translation helpful? Give feedback.
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