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Kernel PCA in PCA #5

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The edited PCA script contains all intact functions to run a standard PCA.
Added is a code to compute Kernel PCA using 4 different Kernels.
It includes the possibility receive the best parameters for the model based on a machine learning algorithm performing a cross validations based on KMeans.
Another function "BestKernel" is not sufficiently tested yet, however can be implemented in the run, by calling it with 'True' or run before the actual Kernel PCA.

The script seems to work, however, when running it with the analysis script provided, it gives errors in the output (apparently no output is received). I was not able to track down the error here.

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